WO2018226885A1

WO2018226885A1 - Training, nutrition, and wellness planners

Info

Publication number: WO2018226885A1
Application number: PCT/US2018/036342
Authority: WO
Inventors: Georgie BRUINVELS; Grainne CONEFREY; Fiona Slevin
Original assignee: Orreco Limited
Priority date: 2017-06-06
Filing date: 2018-06-06
Publication date: 2018-12-13

Abstract

Training, nutrition and wellness planners for individuals based at least in part on their biomarker levels on any given day, including hormone levels, (gut) bacteria levels, and/or genes switched 'on' or 'off' are described. For females, the planners can provide recommendations based at least in part on day of menstrual cycle.

Description

TRAINING, NUTRITION, AND WELLNESS PLANNERS

PRIORITY CLAIM AND CROSS REFERENCE TO RELATED APPLICATION

[0001] This application claims priority to US Provisional Patent Application Serial No. 62/516,018 filed on June 6, 2017, entitled "TRAINING, NUTRITION, AND WELLNESS PLANNERS," which is incorporated by reference herein in its entirety.

FIELD OF THE DISCLOSURE

[0002] The current disclosure provides training, nutrition and wellness planners for individuals based at least in part on their biomarker levels on any given day, including hormone levels, (gut) bacteria levels, and/or genes switched On' or Off'. For females, the planners can provide recommendations based at least in part on day of the menstrual cycle.

BACKGROUND OF THE DISCLOSURE

[0003] In sport, marginal gains make all the difference between winning and losing, between achieving goals and not. Matching training, nutrition and wellness to training and other goals and/or desirable beneficial outcomes on any given day is likely to help deliver optimal performance - and marginal gains.

[0004] For women particularly, over 30% of women participate regularly in sport, many of them taking their training and nutrition seriously. But most of their training and nutrition is based on research on men. Yet men and women respond differently to different types of training, and training women the same way as men can effectively cause strength to increase in the wrong places. This is in part hormonally driven but also due to biomechanics. For example, women are more reliant on their quadriceps (thigh muscles) to generate power and tend not to use their gluteal muscles (bottom muscles), which have the ability to generate a lot of power. Also, men develop certain muscle fiber types that are more beneficial to speed and power more naturally, whereas focused and more specific work is needed in females to activate the correct muscles to have the same consequence. The menstrual cycle also has a significant impact on female athletic performance.

SUMMARY OF THE DISCLOSURE

[0005] The current disclosure provides systems (training, nutrition and wellness planners) for individuals based at least in part on the individual's hormone levels at a particular time.

[0006] In particular implementations, the current disclosure provides female-specific training programs that reflect female physiology, training response, hormonal fluctuations and energy levels. In particular implementations the current disclosure provides a mobile app for female athletes. It helps training by providing information on diet and exercise that is individualized, and that reflects personal goals, profile and physiology. In particular, the information provided can be related to a hormonal state of an individual, including time within menstrual cycle, pre- or post partem, menopausal, and use of hormonal-based contraception. It provides: guidance to help the athlete answer questions like 'What should I eat?' and 'How should I train?'; a forward-planning tool (rather than or in addition to tracking past data, activities or performance); notifications and alerts when the athlete may be at risk; and/or access to curated scientific research on the female athlete, performance nutrition, recovery, and the menstrual cycle.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

[0007] FIG. 1 illustrates an example environment to generate information related to a hormonal state of an individual.

[0008] FIG. 2 illustrates an example environment to determine health and fitness recommendations based on the hormonal state of the individual.

[0009] FIG. 3 illustrates an example process to generate a model to determine the hormonal state of an individual.

[0010] FIG. 4 illustrates an example system to determine recommendations for an individual based on the hormonal state of the individual.

[0011] FIG. 5. illustrates a flow diagram of a first example process to determine a hormonal state of an individual.

[0012] FIG. 6 illustrates a flow diagram of a second example process to determine recommendations for an individual in accordance with a phase of a menstrual cycle of the individual.

[0013] FIG. 7 illustrates a first example user interface that includes physical activity information for a hormonal state of an individual.

[0014] FIG. 8 illustrates a second example user interface that includes nutrition information for a hormonal state of an individual.

[0015] FIG. 9 illustrates a third example user interface that includes physiological information for a hormonal state of an individual.

[0016] FIG. 10 illustrates a fourth example user interface that includes options to log physical activity information of an individual.

[0017] FIG. 1 1 illustrates a fifth example user interface that includes options to record physical health information of an individual. [0018] FIG. 12 illustrates a sixth example user interface that includes a calendar to record days of a menstrual cycle of an individual.

[0019] FIG. 13 illustrates a seventh example user interface that includes information about a plurality of individuals based on the hormonal states of the individuals.

DETAILED DESCRIPTION

[0020] The current disclosure provides training, nutrition and wellness planners for individuals based at least in part on hormone levels on a given day or during a given time. For example, hormone levels can fluctuate over a period of time, such as throughout the day or over a few days, and training can be optimized to reflect these changes. As one example, Cortisol is typically higher in the morning, so high-stress exercise during this time could be avoided as an intense session with high Cortisol could increase training risk, illness, injury etc.

[0021] Flying also alters hormone levels and this can be used to provide training benefits. For example, flying can create a testosterone spike, indicating a recommendation of hard training before flying.

[0022] Particular implementations provide day-to-day training, nutrition and wellness planners for: females based at least in part on their hormone levels on any given day of the menstrual cycle; peri- and menopausal women based at least in part on their hormone levels; pregnant women; andropausal men, based on testosterone levels; individuals suffering stress, based on Cortisol levels; teenagers going through puberty (male and female teenagers' (typically 12-18) hormones fluctuate as their physiology develops; fluctuations particularly occur in the sex hormones, oestrogen, progesterone, testosterone); animals (e.g. , horses, greyhounds; particularly females), and individuals using hormone-based contraception.

[0023] Most training and nutrition advice for female athletes is based on research on men, yet there is mounting evidence that women respond differently to different types of training, and their training and nutrition needs are different, not least because of hormonal fluctuations. Moreover, more than half of women indicate that their performance is negatively affected during and/or just before their period and 6 out of 10 would be concerned if a competition fell during their period. Yet nearly half of women surveyed have no or limited knowledge about how the menstrual cycle can affect performance.

[0024] Because oestrogen and progesterone enter the circulation, they can travel around the whole body. Therefore, these hormones have the ability to impact upon many physiological systems and functions. For example, they can affect release of the hormones and neurotransmitters Cortisol, serotonin, adrenaline, dopamine, and insulin. These hormones can also influence immune responses. Accordingly, at different days in the menstrual cycle, optimal health interventions may vary. To illustrate, in the presence of high levels of oestrogen, certain white blood cells may be proportionally altered, influencing the immune response and potentially compromising susceptibility to certain types of illness and infection. Innate and systemic immunity can vary at certain times of the month according to hormone levels, particularly oestrogen. Recommendations disclosed herein can be targeted to optimize immune response and reduce impact of hormonal changes on fitness training and exercise.

[0025] Oestrogen can cause better adaptation to certain types of training by influencing gene expression. For example, oestrogen can up regulate certain transcription factors that can initiate DNA expression and increase muscle development. In particular implementations, recommendations around wellness depend upon time in the menstrual cycle and include recommendations regarding vitamins and supplementation. In particular implementations, the systems described herein can incorporate a recommended diet that reflects nutritional needs during different stages of the menstrual cycle (i.e., a menstrual cycle diet).

[0026] When oestrogen levels are higher, women typically adapt better to altitude exposure, therefore benefits of altitude training can vary depending on the timing of the training in terms of the menstrual cycle.

[0027] While most women report being affected by normal symptoms of menstruation - nausea, cramps, lethargy - the menstrual cycle has a documented effect on the female response to training and associated injury risk. That is, the menstrual cycle can have a significant impact on female athlete performance. For example:

• on days 7-14 of the menstrual cycle, muscles contract harder and tire slower making it a good time to push training;

• on days 1 1 - 14 there may be increased susceptibility to ligament injuries; and

• from around mid-cycle, endurance ability may improve as fat becomes the main fuel source and glycogen is stored.

[0028] Particular implementations of the current disclosure provide female-specific, individualized guidance on exercise, nutrition, and wellness that reflects an athlete's personal goals and physiology, including menstruation. The systems disclosed herein can be used by female athletes who want to reduce the impact of the menstrual cycle on their performance and competition readiness, and adapt their training and nutrition strategies to reflect their goals and physiology. In various implementations, the systems disclosed herein provide daily, individualized training and nutrition support to optimize performance, based on personal profile, preferences, physiology, goals and stage in menstrual cycle. [0029] Particular implementations provide recommendations around strength training, aerobic training, injury risk reduction, nutrition, and cognition. A key advantage to these recommendations is that they allow training to be designed around different points in the menstrual cycle to optimize underlying physiology. For example, resistance training can be performed at a time when oestrogen levels are high and corresponding hormonal-mediated muscle strength is optimized. At other key points in the menstrual cycle, a higher relative-risk for injury has been identified. For example, there is a higher incidence of ACL rupture during a discrete, yet fragile window in the menstrual cycle,

[0030] In certain implementations, the menstrual cycle is divided into four phases— each with specific training and nutritional suggestions. These suggestions give women personalized day- by-day advice that is tailored to their menstrual cycle. The systems described herein can also provide a physiological understanding about what is going on in the body and why specific suggestions are provided,

[0031] Particular implementations recommend strength training in the first half of the menstrual cycle when compared to the second. During this time, the risk of soft tissue injury or ACL rupture, is increased and this is thought to be due to increased activation of 17-β estradiol receptors on connective tissue. In fact, female soccer and basketball players are 2.78 - 3.6 times more likely to rupture their ACL than men and this may be a function of changes in their menstrual cycle. This is supported by a recent study in women skiers that found ACL injury risk to be 2.4 times greater pre-ovulation when compared to post-ovulation.

[0032] Additionally, recommendations can be provided for exercise, nutrition, and wellness to help optimize performance on any given day. For example, on days 7-13 (of a typical 28-day cycle) oestrogen levels are increasing and reaching their peak, so an increased capacity for workout intensity is noted, while also highlighting the enhanced risk that may be associated with exercises that require sharp changes in direction. The systems described herein can also provide suggestions, including advice around recovery and nutrition that may particularly help at this time of the month based on hormone levels. Particular implementations offer recipes for recommended foods. Various implementations also provide an understanding of wh particular types of exercise, nutrition, and wellness are suggested at any given time.

[0033] In particular implementations, systems disclosed herein address three key gaps in current information and advice for the female athlete. The disclosed systems provide: (1) individualized rather than generic guidance based on one's personal profile, training goals and menstrual cycle. This will help the athlete answer 'What should I eat?', and 'How should I train today?', all underpinned by evidence-based science around the female athlete and sports science in general. (2) information driven from the menstrual cycle that help women use the fluctuations in their hormone levels to gain maximal training and performance benefit; and (3) a forward-planning tool, rather than or in addition to tracking past behavior.

[0034] Furthermore, the techniques and systems described herein can account for differences between individuals and how their hormonal changes affect their bodies during various hormonal states. For example, indicators of hormonal states for a first group of individuals can be different from indicators of the hormonal states for a second group of individuals. Additionally, certain interventions and/or recommendations can have different impacts on different individuals. The techniques and systems described herein take into consideration the responses by different individuals to different interventions and/or recommendations when providing information to the various individuals.

[0035] In certain implementations, at first login, a user can enter profile data such as age, weight, height, training goals, period duration and date of last period. The user can also have the option of syncing with other fitness apps, e.g. HealthKit, Fitbit or Strava, etc. to add more data.

[0036] In particular implementations, on any day, the user will be able to: Check 'what should I eat today?', i.e. receive personalized recommendations for the foods and nutritional supplementation that would help them achieve their desired goals and outcomes. The information provided to the individual can be based on physiological conditions of the individual including for example, reported soreness, day of menstrual cycle, etc. In various implementations, the user may choose to see specific data relating to their day of menstrual cycle including hormone status, likely impact on mood, exercise etc. The user may go straight to see what recipes or foods would deliver the benefits they seek 'today'. For example, if they are having their period and are reporting muscle soreness, they could be directed to recipes that are designed to optimize recovery and to foods that are rich in iron, vitamin C and carbohydrates. In particular implementations, the user can save a food or recipe to 'favorites' and to their own personal database. They may therefore build up favorite options for meals and can save specific 'race-day' or 'recovery-day' meal plans. In various implementations, the user may access recipes from the suggested foods database. The user may also check a restaurant menu to see which menu option will best offer the Recovery or other benefits they seek.

[0037] In particular implementations, on any given day, the user will be able to: Check 'How should I train today?' In various implementations, different types of physical activities with examples will be provided based on goals, day of menstrual cycle, and historical training. The user can be given an explanation about what and why certain types of exercise will have most benefit on a given day. The user can be provided with access to a drill planner to plan their training to achieve stated objectives and optimal gain. In various implementations, the user can engage with the knowledge base and period tracking functionality, tailored for the individual user, to see one or more of (i) training sessions tailored to hormone levels on any given day of the menstrual cycle; (ii) recipes and food sources to support performance, boost energy and iron levels and reach nutritional requirements; (iii) an outline of how physiology changes during the menstrual cycle including 'alerts' when a user might be more susceptible to certain injuries; (iv) calendar updates that show when the user's next period is due; and (v) a daily tracker showing measures of training, wellness, nutrition and physiology.

[0038] In particular implementations, time of the menstrual cycle can be self-reported or identified. The time of the menstrual cycle can be determined through one or more of body temperature, blood test, saliva test, urine test, hair test, epidermal cell test, and/or other biomechanical profile. Implantable real-time trackers of hormones can also be used to determine a phase of a menstrual cycle of an individual.

[0039] In particular implementations, recommendations can be individualized. For example, values for an individual's biomarkers (e.g., hormones, bacteria, etc) can be identified, and statistical modelling can be used to establish personal baselines, ranges, and thresholds. More particularly, results from physiological testing can be used to generate thresholds and ranges for individuals. A threshold is a score that triggers a change in recommendation for an individual with regard to nutrition and/or physical activity.

[0040] Initially, there is not enough historic data available for an individual to calculate his or her thresholds and ranges. In these situations, initial thresholds and ranges can be based on clinical values and ranges published by manufacturers of assays, those found in the scientific literature, and/or thresholds and ranges derived from one or more populations. In particular implementations, data representing a larger population may be imputed to the subject and used to determine initial thresholds and ranges. In one example, a Bayesian model, or any other statistical model or approach taken for generating reference ranges where the approach enables the reference ranges to adapt and be updated from data collected longitudinally and serially or in real-time may be applied using the data from a larger population as a prior input in determining thresholds and ranges for an individual subject. That is, data associated with a larger population of subjects is used to provide initial estimates of the standard deviation of the biomarker. This estimate may be updated sequentially as more data for the subject in question are gathered.

[0041] According to some implementations, a Bayesian model or other statistical adaptive model can be used to initially determine a threshold and range for a biomarker and as additional values are available through subsequent sampling of a subject, more individualized thresholds and ranges for the particular subject are generated by incorporating the new information and updating the parameter settings of the model.

[0042] In particular implementations streaming algorithms can identify personalized reference ranges. A critical difference value can be calculated using individualized reference ranges that adapt and update as more is learned about the variability within the individual over time using empirical Bayes streaming algorithms.

[0043] As indicated, in addition to biomarker data, systems disclosed herein can also assess contextual data provided by an individual to inform and refine recommendations. Types of contextual data that can be used include: dietary habits, rest habits, current mood, energy levels, goals, injury status, muscle soreness, presence of symptoms suggestive of illness etc. Such contextual data can be collected by, for example, verbal, written, computerized questionnaires, or via input to a mobile device app.

[0044] In particular implementations, the system can generate recommendations and/or information that can be presented to the user via various mediums to recommend actions and/or provide information (hereafter collectively referred to as "recommendations") to the user. In such examples, the system can cause the recommendations to be presented to the user via a device corresponding to the user. For instance, the system can cause the recommendations to be presented to the user via a user interface that provides functionality for the user to view the recommendation (e.g., an app screen, a text message, an email, a push notification, etc.).

[0045] The system can utilize one or more network(s) and one or more devices associated with the one or more users. The system can be any entity, server(s), platform, etc., that provides recommendations to a user. The system can be implemented in a non-distributed computing environment or can be implemented in a distributed computing environment. The system can include one or more content server(s), which can include one or more processor(s) and computer- readable media. In particular implementations, content server(s) can be any type of server, such as a network-accessible server.

[0046] In particular implementations, the network(s) can be any type of network known in the art, such as the Internet. Moreover, the system and/or the devices can communicatively couple to the network(s) in any manner, such as by a wired or wireless connection. The network can facilitate communication between the content server(s) and/or the devices associated with the users.

[0047] The users can interact with the system via a mobile phone, a site (i.e., a website), a self- service portal, a self-service interface, or in any other manner.

[0048] Implementations of systems disclosed herein can receive data from the users and/or other data sources. In particular implementations, a health and fitness service provider can receive information associated with users such as day of menstrual cycle, recent physical activity, recent nutritional intake, planned activity, planned nutritional intake, etc. Additionally, or alternatively, a health and fitness service provider can access and observe user information and actions associated with third party sources and systems (e.g., fitness apps, social networks, partner webstore purchases, etc.). The data corresponding to the user information can be mapped to a user profile corresponding to a user that can be stored in the database, cloud storage system, or other data repository.

[0049] Implementations of systems described herein can receive feedback data from the users. Users can provide feedback via a self-service website, application, or browser on a device. Users can provide feedback relevant to previous recommendations. For instance, feedback data can include a type of feedback (e.g., positive, neutral, negative) and can include feedback provided directly from users, user ratings relating to recommendations, user reviews of recommendations (e.g., recipes), user responses to surveys and/or questionnaires, customer service feedback, and so on.

[0050] In particular implementations, the feedback data can include data associated with recommendations. In certain implementations, the feedback data associated with recommendations can be explicitly provided. That is, users can provide explicit feedback that can include positive, neutral, or negative feedback with respect to particular recommendations. For instance, a user can indicate that they like a recipe or suggested workout such that the recipe or suggested workout should be prioritized as a representative recommendation. Or, a user can indicate that they dislike a recommendation such that the recommendation should not be used as a representative recommendation.

[0051] In particular implementations, feedback data can be mapped to corresponding user profiles that can be stored in a database of a health and fitness service provider, a cloud storage system, or other data repository. As a result of accessing and/or receiving feedback data, the feedback module can determine trends regarding what recommendations users prefer or like and what recommendations users dislike.

[0052] In particular implementations, a health and fitness service provider can identify and recommend actions to users. In various implementations, the health and fitness service provider can utilize data associated with a user account. For instance, the recommendation module can utilize data associated with user information and actions associated with the user. Additionally, or alternatively, the health and fitness service provider can utilize data associated with user information and actions associated with third party sources and systems (e.g., fitness apps, social networks) to determine new recommendations for the user. Moreover, in particular implementations, the health and fitness service provider can utilize feedback data to determine new recommendations for the user.

[0053] In particular implementations, various heuristics can be utilized to identify recommendations that might be of interest to a user based at least partly on data associated with the user or a group of users.

[0054] A health and fitness service provider can also cause one or more recommendations to be presented to the user via a display of a computing device of the user. For instance, the health and fitness service provider can cause the recommendations to be presented to the user via a user interface that provides functionality for the user to view the recommendation. The health and fitness service provider can cause recommendations to be presented to a user in predetermined time intervals, at a predetermined frequency, on or before a date, etc.

[0055] A database of the health and fitness service provider can store at least some data including data associated with user profiles, user information, feedback data, etc. User profile(s) can correspond to one or more user profiles associated with the health and fitness service provider. In particular implementations, a user profile can include information associated with a user such as day of menstrual cycle, information associated with a workout, information derived from third party sources and systems, feedback data, etc.

[0056] FIG. 1 illustrates an example environment 100 to generate information related to a hormonal state of an individual 102. The environment 100 can include a health and fitness service provider 102. The health and fitness service provider 104 can provide information to individuals about physical activity, nutrition, and physiology based on the hormonal states of the individuals. That is, as the hormone levels in individuals change, physical activity and nutrition that are optimal for the individuals can also change. For example, as oestrogen levels in an individual increase, endurance training can be beneficial to the individual as opposed to high intensity interval training (HIIT). An activity can be considered beneficial to an individual when it decreases the chance of injury to the individual. In another example, as oestrogen levels of an individual increase, the individual can benefit from consuming health fats and proteins as opposed to carbohydrates. In various implementations, nutritional intake can be beneficial to an individual when particular items are efficiently metabolized by the individual's body, when consuming particular items reduces the possibility of weight gain, balances insulin levels, decrease the chances illness, improves energy and a feeling of well-being, or combinations thereof. The health and fitness service provider 102 can also provide information to individuals that indicates physiological characteristics that can take place for various hormone levels of individuals. In some examples, the health and fitness service provider 102 can provide information indicating heart rate information, body temperature information, energy level information, mood information, and the like for certain hormone levels.

[0057] The health and fitness service provider 102 can provide information to individuals via computing devices operated by the individuals. In particular implementations, computing devices can execute an application, such as a mobile device app, developed by the health and fitness service provider 104 that provides information to individuals regarding physical activity, nutrition, and physiology for various hormonal states. A hormonal state can correspond to levels of one or more hormones present in an individual at a given time. For example, a hormonal state of an individual can indicate a level of oestrogen in the individual. In another example, a hormonal state of an individual can include levels of a combination of hormones, such as levels of oestrogen, progesterone, and testosterone. In some illustrative examples, a hormonal state of an individual can include a phase of menstrual cycle, pregnancy, post-partum, perimenopausal, menopausal, or taking hormone-based contraception. In the illustrative implementation of FIG. 1 , the health and fitness service provider 104 can provide information to representative individual 102 via a computing device 106, where the information is related to a hormonal state of the individual 102.

[0058] The health and fitness service provider 104 can be coupled to, or otherwise in electronic communication with, a data store 108. The data store 108 can store hormonal state information 110 and user profile information 1 12. The hormonal state information 1 10 can include information that indicates a hormonal state of an individual. For example, the hormonal state information 1 10 can include levels of one or more hormones for various hormonal states. The hormonal state information 110 can also include physical symptoms corresponding to certain hormonal states. Additionally, the hormonal state information 1 10 can include at least one of time periods or age ranges associated with certain hormonal states. Further, the hormonal state information 1 10 can include physical activities to perform during various hormonal states, nutritional information related to various hormonal states, physiological information of the various hormonal states, or combinations thereof.

[0059] The hormonal state information 110 can include information for a number of different hormonal states. To illustrate, the hormonal state information 1 10 can include different information for different hormonal states. For example, the hormonal state information 1 10 can include different physical activity information, different nutrition information, and/or different physiological information for various hormonal states. In the illustrative example of FIG. 1 , the hormonal state information 1 10 includes at least first hormonal state information 1 14 and second hormonal state information 116. The first hormonal state information 1 14 can include first physical activity information for a first hormonal state, first nutrition information for the first hormonal state, and first physiological information for the first hormonal state. Additionally, the second hormonal state information 116 can include second physical activity information for a second hormonal state, second nutrition information for the second hormonal state, and second physiological information for the second hormonal state. In particular implementations, at least a portion of the first hormonal state information 114 can be different from at least a portion of the second hormonal state information 1 16. In some examples, at least one of first physical activity information for a first hormonal state can be different from second physical activity information of a second hormonal state, first nutrition information of the first hormonal state can be different from second nutrition information of the second hormonal state, or first physiological information of the first hormonal state can be different from second physiological information of the second hormonal state.

[0060] In an illustrative example, a first hormonal state can include a first menstrual cycle phase and a second hormonal state can include a second menstrual cycle phase. In this example, the first hormonal state information 114 can indicate a first number of days since last menses, such as 1-4 days, 1-5 days, 1-6 days, 1-7 days, 1-8 days, 1-9 days, or 1-10 days. Additionally, the second hormonal state information 116 can indicate a second number of days since last menses, such as 4-10 days, 4-11 days, 4-12 days, 4-13 days, 4-14 days, 5-10 days, 5-11 days, 5-12 days, 5-13 days, 5-14 days, 5-15 days, 6-10 days, 6-11 days, 6-12 days, 6-13 days, 6-14 days, 6-15 days, or 6-16 days. Further, the first hormonal state information 1 14 and the second hormonal state information 1 16 can indicate various body temperatures for individuals. For example, the first hormonal state information 114 can indicate a body temperature from about 36.6 °C to about 37.1 °C and the second hormonal state information 1 16 can indicate a body temperature from about 35.8 °C to about 36.3 °C. The first hormonal state information 1 14 and the second hormonal state information 1 16 can also indicate physical symptoms of individuals in the first hormonal state and the second hormonal state. In certain illustrative examples, the first hormonal state information 1 14 can indicate that energy levels are increasing and the second hormonal state information 1 16 can indicate that some cramping can occur and/or that appetite may be increasing.

[0061] The first hormonal state information 114 and the second hormonal state information 116 can also indicate various levels for one or more hormones found in the blood of individuals. For example, the first hormonal state information 114 can indicate at least one of a first range of oestrogen levels, a first range of progesterone levels, a first range of testosterone levels, a first range of follicle stimulating hormone levels, a first range of luteinizing hormone levels, a first range of 17a-hydroxyprogesterone levels, a first range of dehydroepiandrosterone levels, a first range of androstenedione levels, a first range of estrone levels, a first range of estradiol levels, a first range of inhibin A levels, a first range of inhibin B levels, or a first range of luteinizing hormone levels. The second hormonal state information 116 can indicate at least one of a second range of oestrogen levels, a second range of progesterone levels, a second range of testosterone levels, a second range of follicle stimulating hormone levels, a second range of luteinizing hormone levels, a second range of 17a-hydroxyprogesterone levels, a second range of dehydroepiandrosterone levels, a second range of androstenedione levels, a second range of estrone levels, or a second range of estradiol levels. In illustrative examples, the first hormonal state information 1 14 can indicate at least one of a range of about 4 mg/24 hours to about 30 mg/24 hours for progesterone, a range of about 2 mg/24 hours to about 6 mg/24 hours for 17a- hydroxyprogesterone, a range of about 4 mg/24 hours to 9 mg/24 hours for dehydroepiandrosterone, a range of about 3 mg/24 hours to about 5 mg/24 hours for androstenedione, a range of about 130 μg/24 hours to about 145 μg/24 hours for testosterone, a range of about 225 μg/24 hours to about 375 μg/24 hours for estrone, or about 225 μg/24 hours to about 400 μg/24 hours for estradiol. In additional illustrative examples, the second hormonal state information 116 can indicate at least one of a range of about 0.5 mg/24 hours to about 5 mg/24 hours for progesterone, a range of about 0.3 mg/24 hours to about 5 mg/24 hours for 17a- hydroxyprogesterone, a range of about 4 mg/24 hours to 9 mg/24 hours for dehydroepiandrosterone, a range of about 2 mg/24 hours to about 4 mg/24 hours for androstenedione, a range of about 135 μg/24 hours to about 175 μg/24 hours for testosterone, a range of about 40 μg/24 hours to about 375 μg/24 hours for estrone, or about 25 μg/24 hours to about 400 μg/24 hours for estradiol.

[0062] In further illustrative examples, the first hormonal state information 114 can indicate that high intensity impact training and resistance training can be beneficial and the second hormonal state information 1 16 can indicate that endurance training can be beneficial. The first hormonal state information 1 14 can also indicate that carbohydrates can be beneficial sources of nutrition and the second hormonal state information 116 can indicate that carbohydrates together with protein can be beneficial sources of nutrition. Additionally, the first hormonal state information 1 14 can indicate that explosive and plyometric training can increase injury risk and the second hormonal state information 116 can indicate that joint elasticity is increasing and that susceptibility to ligament injuries can be increasing.

[0063] In various additional hormonal states, the hormonal state information 1 10 can indicate that resistance training and/or flexibility training can be beneficial. Further, the hormonal state information 1 10 can indicate that for various additional hormonal states antioxidants can be beneficial, that a combination of healthy fats and protein can be beneficial, that a healthy balanced diet can be beneficial, and/or that iron can be a beneficial nutrient to consume. The hormonal state information 1 10 can also indicate additional physiological information for various additional hormonal states, such as susceptibility to dehydration, having a higher pain threshold, heart rate can be increasing, and/or that certain mental abilities are enhanced or diminished.

[0064] The user profile information 1 12 can include information of individuals that have an account with the health and fitness service provider 104 and/or individuals that utilize an application provided by the health and fitness service provider 104 The user profile information 112 can include name, age, gender, a login identifier, a password or other security information, residence location, or combinations thereof. In addition, the user profile information 1 12 can include information related to the health of individuals. For example, the user profile information 112 can include medical records information, such as records from medical providers, laboratory test results, diagnostic information, and the like. In other examples, the user profile information 112 can include data obtained from fitness tracking devices or applications, such as heart rate information, physical activity information, blood pressure data, blood glucose information, and so forth.

[0065] Further, the user profile information 112 can include nutritional information of individuals. In particular examples, the user profile information 112 can include information associated with food intake of individuals. Additionally, the user profile information 1 12 can include information associated with nutritional supplements consumed by individuals. The user profile information 112 can also include recipes of individuals. In certain examples, the recipes can be provided by a particular individual. In additional examples, the recipes can be provided by third parties. In certain implementations, the nutritional information included in the user profile information 1 12 can include caloric information, such as calories consumed, and/or amounts of various vitamins, minerals, food types (e.g. protein, fat, carbohydrate) consumed. In further implementations, the nutritional information can indicate recommended daily values for vitamins, minerals, and food types.

[0066] In various implementations, the user profile information 112 can include information related to the menstrual cycle of individuals. To illustrate, the user profile information 112 can include dates of menstrual cycles of individuals. In addition, the user profile information 112 can include symptoms experienced during menstrual cycles of individuals. The symptoms experienced during menstrual cycles can be related to blood flow, cramps, bowel movements, mood, energy level, appetite, combinations thereof, and the like.

[0067] In particular implementations, the user profile information 112 can include goals of individuals. The goals can be related to nutrition and/or physical activity. The goals can also be related to mood and/ or mental abilities. Further, the user profile information 112 can include account preferences. The account preferences can be related to the display of information, notifications provided to individuals, privacy controls, combinations thereof, and so forth.

[0068] The health and fitness service provider 104 can obtain at least a portion of the information stored in the data store 108 from one or more individual health data sources 1 18 and one or more hormonal state information sources 120. The individual health data sources 1 18 can provide information about the health of particular individuals. For example, the individual health data sources 1 18 can include medical service providers, such as physicians, hospitals, clinics, labs, and/or other healthcare facilities. The individual health data sources 1 18 can also include electronic devices of individuals. The electronic devices can include wearable devices, such as fitness trackers and smart watches. The electronic devices can also include mobile phones, laptop computing devices, and/or tablet computing devices. In some implementations, the individual health data sources 118 can include third-party service providers that store information about the health of individuals. To illustrate, the individual health data sources 1 18 can include third party service providers that track physical activity of individuals. In additional implementations, the individual health data sources 118 can include third party service providers that obtain nutritional information associated with individuals. In certain implementations, the individual health data sources 1 18 can include social media websites and/or social media apps.

[0069] The hormonal state information sources 120 can include sources of information related to one or more hormonal states that can be experienced by an individual. In various implementations, the hormonal state information sources 120 can include physicians. The hormonal state information sources 120 can also include medical literature and/or clinical trials data that indicate symptoms of individuals in various hormonal states and/or hormone levels that correspond to certain hormonal states. In addition, the hormonal state information sources 120 can include medical literature and/or clinical trials data relating to physical activity for individuals to perform and/or nutritional intake during certain hormonal states. Further, the hormonal state information sources 120 can include medical literature and/or clinical trials data related to physiological information for various hormonal states. In particular implementations, the hormonal state information sources 120 can include a number of individuals. For example, individuals can self-report symptoms experienced during certain hormonal states and/or other physiological experiences that occur during various hormonal states. Individuals can also self-report their physical response to certain physical activities and/or nutritional intake during one or more hormonal states. [0070] The health and fitness service provider 104 can provide information to individuals based on the hormonal states of the individuals. At 122, the health and fitness service provider 104 can determine a hormonal state of an individual, such as the individual 102. The health and fitness service provider 104 can determine the hormonal state of the individual 102 based at least partly on portions of the user profile information 1 12 associated with the individual 102. For example, the health and fitness service provider 104 can determine the hormonal state of the individual 102 based at least partly on hormone levels of the individual 102, such as hormone levels obtained from laboratory tests performed on samples obtained from the individual 102. The health and fitness service provider 104 can also determine the hormonal state of the individual 102 based at least partly on physical symptoms of the individual 102. To illustrate, the health and fitness service provider 104 can determine the hormonal state of the individual 102 based at least partly on body temperature of the individual 102, heart rate of the individual 102, energy level of the individual 102, mood of the individual 102, sleep patterns of the individual 102, combinations thereof, and so forth. Additionally, the health and fitness service provider 104 can determine the hormonal state of the individual 102 based at least partly on an age of the individual and gender of the individual. Further, the health and fitness service provider 104 can determine the hormonal state of the individual 102 based at least partly on pharmaceuticals or other compounds ingested by the individual 102. In particular implementations, the health and fitness service provider 104 can determine the hormonal state of the individual 102 based at least partly on previous menstrual cycles of the individual 102 and a time elapsed since last menses of the individual 102. In certain implementations, the health and fitness service provider 104 can determine the hormonal state of the individual 102 based on a stage of pregnancy of the individual 102.

[0071] After determining the hormonal state of individuals, the health and fitness service provider 104 can determine information related to the hormonal state of the individuals. For example, at 124, the health and fitness service provider 104 can determine physical activity information corresponding to the hormonal state of the individual 102. The physical activity information can include recommendations for the individual 102 to perform certain physical activities while the individual 102 is in the hormonal state. The physical activities can include various types of exercise. To illustrate, the health and fitness service provider 104 can recommend that the individual 102 perform high intensity interval training exercises based at least partly on the individual 102 being in the hormonal state. In additional examples, the health and fitness service provider 104 can recommend that the individual 102 participate in endurance oriented exercises based at least partly on the individual 102 being in the hormonal state.

[0072] Additionally, the health and fitness service provider 104 can determine nutritional information corresponding to the hormonal state of individual 102. In particular implementations, the health and fitness service provider 104 can determine recommendations for various foods, vitamins, and/or minerals for the individual 102 to consume while the individual 102 is in the hormonal state. In certain implementations, the health and fitness service provider 104 can recommend one or more recipes for the individual to prepare based at least partly on the individual 102 being in the hormonal state.

[0073] Further, the health and fitness service provider 104 can determine physiological information corresponding to the hormonal state of the individual 102. The physiological information can include musculoskeletal characteristics of the individual 102 while the individual 102 is in the hormonal state. Additionally, the physiological information can include various symptoms that the individual 102 can experience while the individual 102 is in the hormonal state. In particular implementations, the physiological information can indicate injury risk for the individual 102 based at least partly on the individual 102 being in the hormonal state. The physiological information can also be related to a mood of the individual 102 and/or an energy level of the individual 102 based at least partly on the individual 102 being in the hormonal state.

[0074] In certain implementations, the health and fitness service provider 104 can determine the physical activity information, the nutritional information, and/or the physiological information for the individual 102 based at least partly on the individual 102 being in the hormonal state by querying the data store 108 for the respective information. For example, in situations where the individual 102 is in the first hormonal state, the health and fitness service provider 104 can retrieve at least a portion of the first hormonal state information 114 to provide to the individual 102. In another example, in situations where the individual 102 is in the second hormonal state, the health and fitness service provider 104 can retrieve at least a portion of the second hormonal state information 1 16 to provide to the individual 102. In particular implementations, information can be stored in the data store 108 in conjunction with an identifier associated with a particular hormonal state. In various implementations, data storage objects, such as database tables or linked lists, can store information in association with one or more identifiers with individual identifiers corresponding to at least one hormonal state. In this way, the health and fitness service provider 104 can query the data store 108 for information having a particular identifier in instances that the health and fitness service provider 104 is obtaining information for the individual 102 that is related to the hormonal state associated with the particular identifier.

[0075] The information associated with various hormonal states, such as physical activity information, nutritional information, and physiological information, can be stored at a number of levels of granularity. In particular implementations, the health and fitness service provider 104 can store information in the data store 108 for groups of individuals of different sizes for various hormonal states. Additionally, the health and fitness service provider 104 can store information in the data store 108 in association with one or more characteristics of individuals. In illustrative examples, the first hormonal state information 1 14 can be stored in association with one or more first identifiers and the second hormonal state information 116 can be stored in association with one or more second identifiers. In further implementations, portions of the hormonal state information 110 corresponding to physical activity information can be stored with particular identifiers, portions of the hormonal state information 110 corresponding to nutritional information can be stored with additional identifiers, and portions of the hormonal state information 1 10 corresponding to physiological information can be stored with further identifiers. In various implementations, information stored with respect to the first hormonal state and physical activity information can be stored with a first set of identifiers and information stored with respect to the first hormonal state and nutritional information can be stored with a second set of identifiers. Also, portions of the hormonal state information 1 10 and/or portions of the user profile information 112 that are related to the individual 102 can be stored in association with one or more identifiers of the individual 102. In scenarios where portions of the hormonal state information 110 is associated with certain groups of individuals, these portions of the hormonal state information 110 can be stored in relation to identifiers of the various groups. Thus, the health and fitness service provider 104 can utilize various identifiers or combinations of identifiers to retrieve information from the data store 108 in association with a hormonal state, such as the hormonal state of the individual 102.

[0076] At 130, the health and fitness service provider 104 can generate one or more user interfaces that include at least portions of the physical activity information, the nutritional information, and the physiological information. The one or more user interfaces can be displayed by a computing device, such as the computing device 106. In particular implementations, the one or more user interfaces can be generated in association with a mobile device app executed by the computing device 106 and/or a website accessible via a browser application executed by the computing device 106. In particular implementations, the health and fitness service provider 104 can generate one or more user interfaces that include physical activity information associated with the hormonal state of the individual 102, one or more user interfaces that include nutritional information associated with the hormonal state of the individual 102, one or more user interfaces that include physiological information associated with the hormonal state of the individual 102, or combinations thereof.

[0077] FIG. 2 illustrates an example environment 200 to determine health and fitness recommendations based on the hormonal state of an individual 202. In particular implementations, the health and fitness service provider 102 can generate recommendations for the individual based at least partly on individual hormone related information 204. The individual hormone related information 204 can include an age of the individual 202. The individual hormone related information 204 can also indicate that the individual 202 is pregnant or not. In addition, the individual hormone related information 204 can indicate a number of days since the individual 202 has given birth. Further, the individual hormone related information 204 can indicate that the individual 202 is taking hormone-based contraception or not.

[0078] The health and fitness service provider 102 can also determine recommendations based at least partly on individual physical health information 206. The individual physical health information 206 can include physical symptoms of the individual 202. The physical symptoms can be related to mood of the individual 202, energy level of the individual 202, digestion of the individual 202, location of pain sensed by the individual 202, illness of the individual 202, body temperature of the individual 202, physical appearance of at least portions of the individual 202, combinations thereof, and the like. The individual physical health information 206 can also include sleep information. The sleep information can indicate an amount of time the individual 202 slept over a period of time and/or the times of day that the individual 202 was asleep. The sleep information can also indicate periods of interrupted sleep. Additionally, the individual physical health information 206 can include heart information. The heart information can indicate heart rate of the individual 202 and/or blood pressure of the individual 202. Further, the individual physical health information 206 can include medical record information. The medical record information can include medical records from a physician, medical records from a healthcare facility, diagnostic test results, laboratory test results, combinations thereof, and so forth.

[0079] In particular implementations, the individual hormone related information 204 and the individual physical health information 206 can be stored in a data store 208 as at least a portion of personal health information 210. The personal health information 210 can include hormone related information and physical health information of a number of individuals. In various implementations, the data store 208 can correspond to the data store 108 of FIG. 1 and the personal health information 210 can be included in the user profile information 112 of FIG. 1.

[0080] The data store 208 can also store indicators of hormonal states 212. The indicators of hormonal states 212 can correspond to hormone related information and physical health information. In addition, the indicators of hormonal states 212 can be utilized by the health and fitness service provider 102 to determine the hormonal states of individuals, such as the individual 202. For example, various hormonal state indicators can be present with respect to individuals in particular hormonal states. To illustrate, first hormonal state indicators 214 can be associated with a first hormonal state and second hormonal state indicators 216 can be associated with a second hormonal state. In an illustrative example, the first hormonal state indicators 214 can include at least one of first hormone levels, first physical symptoms, first heart information, first sleep information, first medical record information, or first hormone related information. Additionally, the second hormonal state indicators 216 can include at least one of second hormone levels, second physical symptoms, second heart information, second sleep information, second medical record information, or second hormone related information.

[0081] In particular illustrative examples, the first hormonal state indicators 214 can be associated with a first phase of a menstrual cycle and the second hormonal state indicators 216 can be associated with a second phase of a menstrual cycle. In these situations, the first hormonal state indicators 214 can include at least one of a first amount of time elapsed since last menses, first hormone levels, a first body temperature range, first physical symptoms, first heart information, or first sleep information. Further, the second hormonal state indicators 216 can include at least one of a second amount of time elapsed since last menses, second hormone levels, a second body temperature range, second physical symptoms, second heart information, or second sleep information.

[0082] In various implementations, the indicators associated with various hormonal states can be associated with a group of individuals or associated with a particular individual. For example, a first group of hormonal state indicators and a first set of values for the first group of hormonal state indicators can correspond to a first group of individuals having a first set of characteristics. In illustrative implementations, the first set of characteristics can include a first range of ages, a first range of weights, and a first set of occupations. In additional examples, a second group of hormonal state indicators and a second set of values for the second group of hormonal state indicators can correspond to a second group of individuals having a second set of characteristics. In additional illustrative implementations, the second set of characteristics can include a second range of ages, a second range of weights, and a second set of occupations. In this way, the health and fitness service provider 102 can take into account the impact of different characteristics of individuals with respect to indicators of the hormonal states for the individuals. Further, the indicators of hormonal states 212 can be individualized, such that the hormonal state indicators and the values of the hormonal state indicators for certain hormonal states can be specific to a particular individual. In these situations, the health and fitness service provider 102 can analyze the hormone related information and physical health information of the particular individual over time to determine indicators of different hormonal states for the particular individual and to determine values of the indicators of the different hormonal states for the particular individual.

[0083] The health and fitness service provider 102 can determine recommendations for a hormonal state of individuals by performing operations related to analyzing hormone related information and physical health information with respect to the indicators of hormonal states 212. In the illustrative example of FIG. 2, at 218, the health and fitness service provider 102 can obtain the individual hormone related information 204 and the individual physical health information 206 for the individual 202. The health and fitness service provider 102 can obtain at least a portion of the individual hormone related information 204 and/or at least a portion of the individual physical health information 206 from a computing device 220 operated by the individual 202. In various implementations, the computing device 220 can include at least one of a mobile computing device, a physical activity tracking device, or a smart watch. In particular implementations, the health and fitness service provider 102 can also obtain at least a portion of the individual hormone related information 204 and/or at least a portion of the individual physical health information 206 from one or more third-parties. For example, the health and fitness service provider 102 can obtain portions of the individual hormone related information 204 and/or portions of the individual physical health information 206 from one or more medical records repositories, one or more social media sites, one or more healthcare facilities, one or more healthcare providers, or combinations thereof.

[0084] At 222, the health and fitness service provider 102 can analyze at least a portion of the individual hormone related information 204 and at least a portion of the individual physical health information 206 to identify one or more indicators of the hormonal state of the individual. For example, the health and fitness service provider 102 can extract data included in the individual hormone related information 204 and data included in the individual physical health information 206 that corresponds to possible indicators of a hormonal state of the individual. In various implementations, portions of the individual hormone related information 204 and/or portions of the individual physical health information 206 can be electronically tagged, or otherwise associated with an identifier, to indicate hormonal indicators. In additional implementations, the health and fitness service provider 102 can utilize text recognition algorithms to identify particular combinations of alphanumeric characters included in the individual hormone related information 204 and/or in the individual physical health information 206 that can be associated with indicators of hormonal states of individuals.

[0085] After identifying the one or more indicators of the hormonal state of the individual 202, the health and fitness service provider 102 can, at 224, determine the hormonal state of the individual 202 based at least partly on the one or more hormonal indicators of the individual 202 corresponding to at least one hormonal state indicator of the hormonal state. In particular implementations, the health and fitness service provider 102 can compare values of the one or more hormonal state indicators of the individual 202 to values of the indicators of hormonal states 212. The health and fitness service provider 102 can determine one or more hormonal states that have values of hormonal state indicators that correspond to the values of the one or more hormonal state indicators of the individual 202. In various implementations, the health and fitness service provider 102 can determine a number of indicators of hormonal states having values that correspond to values of the one or more hormonal state indicators of the individual and identify the hormonal state having a greatest number of hormonal state indicators that correspond to the values of the hormonal state indicators of the individual 202. In this way, the health and fitness service provider 102 can determine values of hormonal state indicators of the individual 202 that match hormonal state indicators of certain hormonal states stored in the data store 208.

[0086] In an illustrative example, health and fitness service provider 102 can analyze at least portions of the individual hormone related information 204 and at least portions of the individual physical health information 206 to determine an amount of time since last menses for the individual 202, a body temperature of the individual 202, and an average heart rate of the individual 202 over the past 24 hours. The health and fitness service provider 102 can then determine that the values for the amount of time since last menses for the individual 202, a body temperature of the individual 202, and an average heart rate of the individual 202 over the past 24 hours correspond to values of hormonal indicators of a first menstrual cycle phase.

[0087] At 226, the health and fitness service provider 102 can determine health and fitness recommendations for the individual 202 based at least partly on the hormonal state of the individual 202. The recommendations can be related to one or more physical activities for the hormonal state and/or nutritional intake for the hormonal state. In particular implementations, the recommendations can be related to one or more physical activities and/or nutritional intake that can be beneficial for the individual 202 in the hormonal state. The recommendations can also be based at least partly on goals of the individual 202. For example, the individual 202 can have physical activity goals, such as a goal to run a 10 kilometer race in under one hour. In another example, the individual 202 can have health related goals, such as a goal to lose 10 pounds in 3 months or a goal to decrease the blood pressure of the individual 202 to below 120/80. The individual 202 can also have goals related to increasing mental alertness or improving memory. The health and fitness service provider 102 can take into account the goals of the individual 202 when determining recommendations for the individual 202 because the goals can have an impact of the recommendations for the individual 202. Occupation, amount of physical activity performed by the individual 202 on a regular basis, various habits of the individual, and/or nutritional intake of the individual 202 can also impact the recommendations determined by the health and fitness service provider 102 for the individual 202.

[0088] FIG. 3 illustrates an example process 300 to generate a model to determine the hormonal state of an individual. The process 300 can include, at 302, analyzing group hormone related information 304 and group physical health information 306 to determine one or more hormonal state indicators. The group hormone related information 304 can include information that can indicate hormone levels of a number of individuals. The group hormone related information 304 can include age of the individuals included in the group, whether or not individuals included in the group are pregnant, amount of time since individuals included in the group have given birth, whether individuals included in the group utilize hormone-based contraception, or combinations thereof. Additionally, the group physical health information 306 can include physical symptoms of individuals included in the group at various times, sleep information for individuals included in the group, heart information for individuals included in the group, medical record information for individuals included in the group, or combinations thereof. The group hormone related information 304 and the group physical health information 306 can comprise a corpus of data that can be analyzed to determine indicators of various hormonal states. In the illustrative example of FIG. 3, the one or more hormonal state indicators can include a first hormonal state indicator 308 to an Nth hormonal state indicator 310.

[0089] In particular implementations, an entity, such as the health and fitness service provider 102 of FIG. 1 and FIG. 2, can analyze the group hormone related information 304 and the group physical health information 306 to identify patterns and/or correlations between different characteristics of individuals and various hormonal states. In certain implementations, the health and fitness service provider 102 can perform one or more statistical analysis to determine correlations between characteristics of individuals and various hormonal states that have a minimum amount of statistical significance. Characteristics of individuals having at least a threshold significance with respect to a particular hormonal state can be identified as indicators of the particular hormonal state.

[0090] At 312, the process 300 includes determining an amount of impact of the one or more hormonal state indicators on at least one individual. In various implementations, an amount of impact of a hormonal state indicator for the at least one individual can be based at least partly on a significance of the hormonal state indicator with respect to the particular hormonal state. For example, the health and fitness service provider 102 can determine that age has a particular significance for a hormonal state of an individual and the significance of age can correspond to an impact of age on the hormonal state of an individual. After determining a significance of individual indicators of hormonal states, the process 300 can, at 314, determine at least one coefficient or a weighting factor for the one or more hormonal indicators. In the illustrative example of FIG. 3, the coefficients can include a first coefficient 316 associated with the first hormonal state indicator 308 to an Nth coefficient 318 associated with the Nth hormonal state indicator 310.

[0091] The hormonal state indicators and the coefficients can, at 320, be utilized to generate a hormonal state model 322 to determine the hormonal state of at least one individual. In certain implementations, the hormonal state model 322 can be utilized to determine hormonal states for a number of individuals. In additional implementations, the hormonal state model 322 can be utilized to determine hormonal states for a single individual. The model can include one or more terms related to hormonal state indicators and at least one coefficient for individual hormonal state indicators corresponding to a weight for the hormonal state indicator in determining the hormonal state of an individual. Hormone related information and physical health information for one or more individuals can be fed into the hormonal state model 322 to determine the hormonal state of one or more individuals. In the illustrative example of FIG. 3, individual hormone related information 326 and individual physical health information 328 can be utilized in conjunction with the hormonal state model 322 to, at 324, determine a hormonal state 330 of an individual.

[0092] FIG. 4 illustrates an example system 400 to determine recommendations for an individual based on the hormonal state of the individual. The system 400 can include one or more computing devices 402. The one or more computing devices 402 can be associated with the health and fitness service provider 102. In implementations, the one or more computing devices 402 can be included in a cloud computing architecture that operates the one or more computing devices 402 on behalf of the health and fitness service provider 102. In these scenarios, the cloud computing architecture can implement one or more virtual machine instances on behalf of the health and fitness service provider 102 on the one or more computing devices 402. The cloud computing architecture can be located remotely from the health and fitness service provider 102. In additional implementations, the one or more computing devices 402 can be under the direct control of the health and fitness service provider 102. For example, the health and fitness service provider 102 can maintain the one or more computing devices 402 to perform operations related to determining hormonal states of individuals and recommendations for the individual based at least partly on the hormonal states. In various implementations, the one or more computing devices 402 can include one or more server computers.

[0093] The one or more computing devices 402 can include one or more processors, such as processor 404. The one or more processors 404 can include at least one hardware processor, such as a microprocessor. In various implementations, the one or more processors 404 can include a central processing unit (CPU), a graphics processing unit (GPU), or both a CPU and GPU, or other processing units. Additionally, the one or more processors 404 can include a local memory that may store program modules, program data, and/or one or more operating systems.

[0094] In addition, the one or more computing devices 402 can include one or more computer- readable storage media, such as computer-readable storage media 406. The computer-readable storage media 406 can include volatile and nonvolatile memory and/or removable and nonremovable media implemented in any type of technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. Such computer- readable storage media 406 can include, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, solid state storage, magnetic disk storage, RAID storage systems, storage arrays, network attached storage, storage area networks, cloud storage, removable storage media, or any other medium that can be used to store the desired information and that can be accessed by a computing device. Depending on the configuration of the one or more computing devices 402, the computer-readable storage media 406 can be a type of tangible computer-readable storage media and can be a non-transitory storage media.

[0095] The one or more computing devices 402 can include one or network interfaces (not shown) to communicate with other computing devices via one or more networks 408. The one or more networks 408 can include one or more of the Internet, a cable network, a satellite network, a wide area wireless communication network, a wired local area network, a wireless local area network, or a public switched telephone network (PSTN). In various implementations, the one or more computing devices 402 can communicate with one or more hormone related information sources 410 via the one or more networks 408. The one or more hormone related information sources 410 can obtain and/or store information that can be utilized to determine hormone levels of individuals and/or information that is associated with various hormonal states. The one or more hormone related information sources 410 can include entities that obtain and/or store hormone related information, computing devices that obtain and/or store hormone related information, or combinations thereof. Additionally, the one or more computing devices 402 can communicate with one or more physical health information sources 412 via the one or more networks 408. The one or more physical health information sources 412 can, in particular implementations, include healthcare service providers, laboratory facilities, diagnostic facilities, healthcare facilities, or combinations thereof.

[0096] The computer-readable storage media 406 can be used to store any number of functional components that are executable by the one or more processors 404. In many implementations, these functional components comprise instructions or programs that are executable by the one or more processors 404 and that, when executed, implement operational logic for performing the operations attributed to the one or more computing devices 402. Functional components of the one or more computing devices 402 that can be executed on the one or more processors 404 for implementing the various functions and features related to determining hormonal states of individual and providing information to individuals related to the hormonal states, as described herein, include information collection and storage instructions 414, hormonal state indicator instructions 416, hormonal state determination instructions 418, hormonal state recommendation instructions 420, and user interface instructions 422.

[0097] Additionally, the one or more computing devices 402 can include one or more input/output devices (not shown). The one or more input/output devices can include a display device, keyboard, a remote controller, a mouse, a printer, audio input/output devices, a speaker, a microphone, a camera, and so forth

[0098] The one or more computing devices 402 can also include, or be coupled to, the data store 424 that can include, but is not limited to, RAM, ROM, EEPROM, flash memory, one or more hard disks, solid state drives, optical memory (e.g. CD, DVD), or other non-transient memory technologies. The data store 424 can maintain information that is utilized by the one or more computing devices 402 to perform operations related to determining hormonal states of individuals and providing information to individual corresponding to the hormonal states. For example, the data store 424 can store hormone related data 426, physical health data 428, and profile information 430. In particular implementations, the hormone related data 426 can include information that can indicate hormonal states of individuals and information associated with various hormonal states, such as physical activity information for individual hormonal states, nutritional information of individual hormonal states, and/or physiological information of individual hormonal states. The physical health data 428 can include information related to the physical health of individuals, such as information included in medical records of individuals, information related to health apps, information related to health oriented social media sites, and/or information obtained from diagnostic equipment or fitness tracking devices. The profile information 430 can include demographic information, preferences, access credentials, feedback, answers to questionnaires, and the like about individuals for which the health and fitness service provider 104 provides hormonal state information. In certain implementations, the profile information 430 can be utilized to determine hormonal states of individuals.

[0099] The information collection and storage instructions 414 can be executable by the one or more processors 404 to obtain at least portions of the hormone related data 426, at least portions of the physical health data 428, at least portions of the profile information 430, or combinations thereof, and store the information in the data store 424. The information collection and storage instructions 414 can query various databases and/or service providers to obtain at least portions of the hormone related data 426, at least portions of the physical health data 428, at least portions of the profile information 430, or combinations thereof. In particular implementations, the information collection and storage instructions 414 can utilize calls of one or more APIs to obtain information from various information sources, such as the hormone related information sources 410 and/or the physical health information sources 412. The information collection and storage instructions 414 can also utilize authentication information provided by individuals to access information of the individuals stored by the hormone related information sources 410 and/or the physical health information sources 412. In addition, the information collection and storage instructions 414 can obtain information from one or more user interfaces generated by the information collection and storage instructions 414.

[0100] Further, the information collection and storage instructions 414 can store at least portions of the hormone related data 426, at least portions of the physical health data 428, and/or at least portions of the profile information 430 in the data store 424 in accordance with particular data structures and/or in accordance with particular formats related to the storage of data. In illustrative implementations, the information collection and storage instructions 414 can store information in the data store 424 in association with one or more identifiers that can be utilized to retrieve the information. For example, the information collection and storage instructions 414 can store information related to different hormonal states in conjunction with different identifiers in the data store 424. In additional examples, the information collection and storage instructions 414 can store information associated with individuals and/or groups of individuals in association with various identifiers in the data store 424. In response to receiving requests for information that include one of more identifiers, the information collection and storage instructions 414 can query the data store 424 and obtain the particular information requested and stored in conjunction with the one or more identifiers.

[0101] The hormonal state indicator instructions 416 can be executable by the one or more processors 404 to analyze at least portions of the hormone related data 426 and/or portions of the physical health data 428 to determine indicators of hormonal states. The indicators of hormonal states can include characteristics of individuals that are markers for certain hormonal states. For example, hormonal state indicators can include age of individuals, levels of certain hormone levels, weight of individuals, physical symptoms of individuals, pregnancy status of individuals, use of hormone-based contraceptives, combinations thereof, and the like. The hormonal state indicator instructions 416 can analyze at least portions of the hormone related data 426 to determine indicators of hormonal states of individuals. In particular implementations, the hormonal state indicator instructions 416 can analyze portions of the hormone related data 426 to determine hormonal state indicators for a group of individuals having certain characteristics, such as individuals of a certain age and/or individuals having particular physical symptoms. The hormonal state indicator instructions 416 can also determine hormonal state indicators for a particular individual.

[0102] The hormonal state determination instructions 418 can be executable by the one or more processors 404 to determine hormonal states of individuals. In particular implementations, the hormonal state determination instructions 418 can determine values for one or more hormonal state indicators for one or more individuals and identify at least one hormonal state that has values for the one or more hormonal indicators that are the same or similar to the values of the one or more hormonal state indicators of the individuals. In various implementations, the hormonal state determination instructions 418 can determine that the values of hormonal state indicators for one or more individuals are within a threshold amount of values of the hormonal state indicators of at least one hormonal state. In certain implementations, the hormonal state determination instructions 418 can utilize one or more models to determine hormonal states of individuals.

[0103] The hormonal state recommendation instructions 420 can be executable by the one or more processors 404 to generate recommendations related to hormonal states of individuals. In particular implementations, the hormonal state recommendation instructions 420 can determine recommendations for one or more hormonal states with respect to physical activity and/or nutrition. In various implementations, the hormonal state recommendation instructions 420 can determine recommendations for individuals with respect to their hormonal states and with respect to goals of the individuals. For example, the hormonal state recommendation instructions 420 can determine recommendations for an individual that is perimenopausal and that has a goal to improve mental alertness at work. Thus, the hormonal state recommendation instructions 420 can generate personalized recommendations for individuals and their particular hormonal states. In certain implementations, the recommendations for individuals can change over time and the hormonal state recommendation instructions 420 can modify recommendations for individuals as their hormonal state changes, as their goals change, as physical health information of the individuals change, or combinations thereof.

[0104] The user interface instructions 422 can be executable by the one or more processors 404 to generate user interfaces that include recommendations for individuals based at least partly on their hormonal states. Additionally, the user interface instructions 422 can generate user interfaces that include information related to certain hormonal states, such as physical activity information, nutritional information, and/or physiological information associated with certain hormonal states. In additional implementations, the user interface instructions 422 can generate one or more user interfaces that include information about a group of individuals. In particular implementations, the hormonal states of members of the group can be included in one or more user interfaces. Further, information related to physical activity of the individuals included in the group, information related to nutrition of individuals included in the group, and/or physiological information related to individuals included in the group can be included in the user interfaces generated by the user interface instructions 422.

[0105] A computing device 432 can be operated by an individual 434 and can include a mobile phone, a smart phone, a tablet computing device, a laptop computing device, a portable gaming device, a desktop computing device, a smart watch, combinations thereof, and the like. The computing device 432 can include one or more processors, such as processor 434, and memory 436. The one or more processors 434 can include at least one hardware processor, such as a microprocessor. In particular implementations, the one or more processors 434 may include a central processing unit (CPU), a graphics processing unit (GPU), or both a CPU and GPU, or other processing units. Additionally, the one or more processors 434 can include a local memory that may store program modules, program data, and/or one or more operating systems.

[0106] The memory 436 can include volatile and nonvolatile memory and/or removable and nonremovable media implemented in any type of technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. The computing device 432 can also include one or network interfaces (not shown) to communicate with other computing devices via the one or more networks 408. Additionally, the computing device 432 can include one or more input/output devices (not shown).

[0107] The memory 436 can be used to store any number of functional components that are executable by the one or more processors 434. In many implementations, these functional components comprise instructions or programs that are executable by the one or more processors 434 and that, when executed, implement operational logic for performing the operations attributed to the computing device 432. Functional components of the computing device 432 that can be executed on the one or more processors 434 for implementing the various functions and features related to determining hormonal states of individuals and providing information about the hormonal states, as described herein, can include a health and fitness app 438. The health and fitness app 438 can provide one or more user interfaces that include information regarding hormonal states of the individual 434 and information, including various recommendations, related to the hormonal states of the individual 434. In various implementations, the health and fitness app 438 can obtain portions of the hormone related data 426 of the individual 434 and/or portions of the physical health data 428 of the individual 434 and send this information to the health and fitness service provider 102.

[0108] FIG. 5. illustrates a flow diagram of a first example process 500 to determine a hormonal state of an individual. At 502, the process 500 includes obtaining hormone related information and physical health information for a plurality of individuals. The hormone related information can include at least one of age of the individual, pregnancy status of the individual, amount of time elapsed since the individual gave birth, amount of time elapsed since last menses of the individual, use of hormone-based contraception by the individual, dates of previous menses, or combinations thereof. The physical health information can include at least one of physical symptoms of the individual, sleep information of the individual, heart information of the individual, or medical record information of the individual

[0109] At 504, the process 500 includes analyzing the hormone related information and the physical health information to determine one or more indicators for at least one hormonal state. In addition, at 506, the process 500 includes determining a value of an indicator of the one or more indicators of the hormonal state for an individual. Further, at 508, the process 500 includes determining, based at least partly on the value of the indicator, that a hormonal state of the at least one hormonal state corresponds to the individual.

[0110] At 510, the process 500 includes generating one or more user interfaces that include at least one of physical activity information related to the hormonal state, nutritional information related to the hormonal state, or physiological information related to the hormonal state. In particular implementations, the one or more user interfaces can include a user interface that includes at least one of hormone-related information or physical health information about a plurality of individuals included on a team. Additionally, at least one user interface of the one or more user interfaces can indicate progress of the individual toward one or more goals.

[0111] FIG. 6 illustrates a flow diagram of a second example process 600 to determine recommendations for an individual in accordance with a phase of a menstrual cycle of the individual. At 602, the process 600 includes determining a phase of a menstrual cycle of an individual. In illustrative examples, the menstrual cycle of the individual can include a number phases, such as four phases. The phases of the menstrual cycle of the individual can have a same duration or different durations. In certain implementations, the phases of the menstrual cycle of the individual can have a duration of about one week. In additional implementations, the phases of the menstrual cycle of the individual can have from 1 day to 4 days, from 1 day to 5 days, from 1 day to 6 days, from 1 day to 7 days, from 1 day to 8 days, from 1 day to 9 days, from 1 day to 10 days, from 1 day to 11 days, or from 1 day to 12 days.

[0112] In implementations, determining the phase of the menstrual cycle of the individual can include determining a level of a hormone with respect to the individual and determining that the level of the hormone is within a predetermined range of levels for hormone with respect to the phase of the menstrual cycle. In addition, determining the phase of the menstrual cycle of the individual can include determining a number of indicators for each phase of the menstrual cycle of the individual. Determining the number of indicators of a particular phase of the menstrual cycle of the individual can include analyzing hormone related information of a number of individuals and physical health information of a number of individuals to determine that an indicator of the number of indicators has at least a threshold amount of significance in relation to the phase of the menstrual cycle. In particular implementations, different phases of the menstrual cycle of the individual can have different indicators. In various implementations, the indicator can have less than a threshold significance in relation to an additional phase of the menstrual cycle of the individual. Further, indicators of phases of menstrual cycles of different individuals can have different indicators. In certain implementations, the indicator can have less than a threshold significance in relation to an additional individual for the phase of the menstrual cycle of the additional individual. In additional implementations, determining the phase of the menstrual cycle of the individual can include determining a model to identify one or more phases of the menstrual cycle of the individual.

[0113] At 604, the process 600 includes determining one or more first recommendations for physical activity corresponding to the phase of the menstrual cycle. In particular implementations, determining the one or more first recommendations can include at least one of identifying exercises that are beneficial to the individual during the hormonal phase or identifying a susceptibility to injury to the individual with respect to one or more exercises during the hormonal phase.

[0114] At 606, the process 600 includes determining one or more second recommendations for nutritional information corresponding to the phase of the menstrual cycle. In various implementations, the one or more second recommendations can indicate one or more recipes and/or restaurants that relate to the nutritional information. In additional implementations, the one or more second recommendations can indicate a list of foods that can provide particular nutrients related to the phase of the menstrual cycle. In illustrative examples, the one or more second recommendations can include links selectable to order foods or meals at restaurants and/or grocery stores that provide nutrients related to the phase of the menstrual cycle.

[0115] In particular implementations, the one or more first recommendations and/or the one or more second recommendations can be based at least partly on an occupation of the individual or an average amount of physical activity of the individual over a period of time. At 608, the process 600 includes generating one or more user interfaces that include at least one of the one or more first recommendations or the one or more second recommendations. In certain implementations, the one or more user interfaces can indicate progress of the individual with respect to at least one of a goal of the individual or with respect to an aspect of physical health of the individual. The goal of the individual can be related to at least one of physical activity of the individual, physical health of the individual, or mental improvement of the individual.

[0116] FIG. 7 illustrates a first example user interface 700 that includes physical activity information for a hormonal state of an individual. The user interface 700 can be displayed by a computing device 702 that is operated by an individual 704. The user interface 700 can be displayed in conjunction with a mobile device app that is executed by the computing device 702.

[0117] The user interface 700 can include a first portion 706 that includes a first option 708 that is selectable to view settings of the mobile device app and a second option 710 that is selectable to view a calendar of the mobile device app. The calendar can be utilized to track activity of the individual 704. In particular implementations, the individual 704 can utilize the calendar to track days of a menstrual cycle of the individual 704. The user interface 700 can also include a second portion 712 that includes links that are selectable to view articles that include information related to the mobile device app. In the illustrative example of FIG. 7, the second portion 712 includes a first link 714 selectable to access a first article, a second link 716 selectable to access a second article, and a third link 718 selectable to access a third article.

[0118] In addition, the user interface 700 can include a third portion 720 that indicates a phase of a menstrual cycle of the individual 704 and dates associated with the phase. Further, the user interface 700 includes a fourth portion 722 that includes physical activity information associated with the phase of the menstrual cycle of the individual 704 indicated in the third portion 720. The fourth portion 722 can include an option 724 that is selectable to view additional physical activity information associated with the phase of the menstrual cycle of the individual 704 indicated in the third portion 720. The user interface 700 can also include a fifth portion 726 that indicates a number of pages associated with physical activity corresponding to the phase of the menstrual cycle of the individual 704 indicated in the third portion 720 and a current page that is being viewed.

[0119] FIG. 8 illustrates a second example user interface 800 that includes nutrition information for a hormonal state of an individual. The user interface 800 can be displayed by the computing device 702 that is operated by the individual 704. The user interface 800 can be displayed in conjunction with a mobile device app that is executed by the computing device 702. Although not shown in FIG. 7, the user interface 700 can include an option that is selectable to navigate from the user interface 700 to the user interface 800.

[0120] The user interface 800 can include the first portion 706 that corresponds to the user interface 700 and includes the first option 708 that is selectable to view settings of the mobile device app and the second option 710 that is selectable to view a calendar of the mobile device app. In addition, the user interface 800 can include a second portion 802 that indicates the user interface 800 provides nutritional information for the individual 704. The user interface 800 also includes a third portion 804 that includes nutritional information for a phase of the menstrual cycle of the individual 704 The third portion 804 can also include an option 806 that is selectable to view additional nutritional information associated with the phase of the menstrual cycle of the individual 704. Further, the user interface 800 can include a fourth portion 808 that indicates a number of pages associated with nutritional information corresponding to the phase of the menstrual cycle of the individual 704 indicated in the third portion 720 of the user interface 700 and a current page that is being viewed. Additionally, the fourth portion 808 includes an option 810 that is selectable to view recipes associated with the phase of the menstrual cycle of the individual 704. In particular implementations, the recipes can be provided by a health and fitness service provider that developed the mobile device app. In additional implementations, the recipes can be provided by the individual 704 and/or other users of the mobile device app.

[0121] FIG. 9 illustrates a third example user interface 900 that includes physiological information for a hormonal state of an individual. The user interface 900 can be displayed by the computing device 702 that is operated by the individual 704. The user interface 900 can be displayed in conjunction with a mobile device app that is executed by the computing device 702. Although not shown in FIG. 7 or FIG. 8, the user interface 700 and/or the user interface 800 can include an option that is selectable to navigate from the user interface 700 and/or the user interface 800 to the user interface 900.

[0122] The user interface 900 can include the first portion 706 that corresponds to the user interface 700 and includes the first option 708 that is selectable to view settings of the mobile device app and the second option 710 that is selectable to view a calendar of the mobile device app. In addition, the user interface 900 can include a second portion 902 that indicates the user interface 900 provides physiological information for the individual 704. The user interface 900 also includes a third portion 904 that includes physiological information for a phase of the menstrual cycle of the individual 704 The third portion 904 can also include an option 906 that is selectable to view additional physiological information associated with the phase of the menstrual cycle of the individual 704. Further, the user interface 900 can include a fourth portion 908 that indicates a number of pages associated with physiological information corresponding to the phase of the menstrual cycle of the individual 704 indicated in the third portion 720 of the user interface 700 and a current page that is being viewed.

[0123] FIG. 10 illustrates a fourth example user interface 1000 that includes options to log physical activity information of an individual. The user interface 1000 can be displayed by the computing device 702 that is operated by the individual 704. The user interface 1000 can be displayed in conjunction with a mobile device app that is executed by the computing device 702. The user interface 1000 includes a first portion 1002 that indicates a date and option selectable to navigate to other dates before and after the date. The user interface 1000 also includes a second portion 1004 that indicates a type of information that can be logged using the user interface 1000. In the illustrative example of FIG. 10, the second portion 1004 indicates that physical activity information can be logged via the user interface 1000. Additionally, the user interface 1000 includes a third portion 1006 that includes links that are selectable to log physical activity of the individual 704. For example, the third portion 1006 includes a first link 1008 selectable to log physical activity information related to a first training option, a second link 1010 selectable to log physical activity information related to a second training option, and a third link 1012 that is selectable to log physical activity information related to a third training option.

[0124] FIG. 1 1 illustrates a fifth example user interface 1 100 that includes options to record physical health information of an individual. The user interface 1 100 can be displayed by the computing device 702 that is operated by the individual 704. The user interface 1 100 can be displayed in conjunction with a mobile device app that is executed by the computing device 702. The user interface 1100 can include a first portion 1002 that indicates a date and option selectable to navigate to other dates before and after the current date. The user interface 1 100 also includes a second portion 1004 that indicates a type of information that can be logged using the user interface 1000. In the illustrative example of FIG. 11 , the second portion 1004 indicates that physical symptoms information of the individual 704 can be logged via the user interface 1100. Additionally, the user interface 1 100 includes a third portion 1 102 that includes links, such as representative link 1104, that are selectable to indicate a level of blood flow on the date shown in the first portion 1002 during a menstrual cycle of the individual 704. The user interface 1100 can also include a fourth portion 1 106 that includes links, such as representative link 1 108, that are selectable to indicate physical symptoms on the date shown in the first portion 1002 during a menstrual cycle of the individual 704.

[0125] FIG. 12 illustrates a sixth example user interface 1200 that includes a calendar to record days and log information of a menstrual cycle of an individual. The user interface 1200 can be displayed by the computing device 702 that is operated by the individual 704. The user interface 1200 can be displayed in conjunction with a mobile device app that is executed by the computing device 702. The user interface 1200 includes a first portion 1202 that indicates the user interface 1200 includes a calendar and also an option that is selectable to navigate to another page of the mobile device app. The user interface 1200 also includes a second portion 1204 that includes days of one or more months. The second portion 1204 can also include days of other months with the days of other months having light gray shading. Additionally, the second portion 1204 can indicate a current date with a line pattern shading. Further, the user interface 1200 can include a third portion 1206 that includes a first option 1208 that is selectable to mark days of a menstrual cycle of the individual 704 on the calendar included in the second portion 1204. In the illustrative example of FIG. 12, the option 1208 has been selected to indicate that the date shown by indicator 1210 was a day of the menstrual cycle of the individual 704. The second portions 1204 can also indicate possible future days of the menstrual cycle of the individual 704 as shown by the indicator 1212. The third portion 1206 also includes a second option 1214 that is selectable to log information about one or more days included in the calendar of the second portion 1204. In particular implementations, selection of the log 1214 can cause an additional user interface to be displayed that can accept alphanumeric input provided by via the computing device 702.

[0126] FIG. 13 illustrates a seventh example user interface 1300 that includes information about a plurality of individuals based on the hormonal states of the individuals. The user interface 1300 can be displayed by the computing device 702 that is operated by the individual 704. In particular implementations, the individual 704 can be a member of a group that is sharing information via the mobile device app. In additional implementations, the individual 704 can be a coach that is viewing information corresponding to members of the coach's team.

[0127] The user interface 1300 can include a first portion 1302 indicating a name of the mobile device app. The user interface 1300 can also include a second portion 1304 indicating that the user interface 1300 provides a view of information for a group and a number of options that are selectable to perform one or more actions related to the group. In the illustrative example of FIG. 13, the second portion 1304 includes a first option selectable to launch messaging between one or more members of the group, a second option to add a member to the group, and a third option to remove a member from the group. The user interface 1300 can also include a third portion 1306 that includes information about a first individual in the group, a fourth portion 1308 that includes information about a second individual in the group, and a fifth portion 1310 that includes information about a third individual in the group. In the illustrative example of FIG. 13, the third portion 1306, the fourth portion 1308, and the fifth portion 1310 can indicate an identifier of the respective individuals, a phase of the menstrual cycle of the respective individuals, training information for the respective individuals, nutrition information for the respective individuals, and injury risk information for the respective individuals. Further, the third portion 1306, the fourth portion 1308, and the fifth portion 1310 can include links that are selectable to shown workouts for the respective individuals on various days.

[0128] Exemplary Implementations.

1. A method of providing a training, nutrition and/or wellness recommendation based on hormone level information from a subject including:

obtaining hormone level information from the subject; and

providing a training, nutrition and/or wellness recommendation based on the obtained hormone level information.

2. A method of implementation 1 wherein the hormone level information indicates a day of the menstrual cycle.

3. A method of implementation 1 or 2 wherein the recommendation is based on day of the menstrual cycle.

4. A method of any of implementations 1-3 wherein the recommendation is to perform, reduce, increase, or avoid an exercise type.

5. A method of any of implementations 1-4 wherein the recommendation is to ingest, reduce, increase, or avoid a food type.

6. A method of any of implementations 1-5 wherein the recommendation is to increase fluid intake.

7. A method of any of implementations 1-6 wherein the recommendation includes a recipe.

8. A method of any of implementations 1-7 wherein performance of the recommendation alleviates a symptom.

9. A method of any of implementations 1-8 wherein the hormone is estrogen, progesterone, testosterone, or Cortisol.

10. A method of any of implementations 1-9 wherein the hormone level information is self-reported by the subject.

11. A method of implementation 10 wherein the self-reported hormone level information includes beginning and/or end date of last menses.

12. A method of any of implementations 1-11 wherein the hormone level information is derived from a biological sample.

13. A method of any of implementations 1-12 further including obtaining contextual data from the subject and providing a training, nutrition and/or wellness recommendation based on the hormone level information and the contextual data.

14. Use of an analyzer to detect a hormone level in a subject in order to provide a training, nutrition and/or wellness recommendation including

obtaining a sample from the subject;

assaying the sample for one or more hormone level values;

comparing the one or more hormone level values to a range;

providing a training, nutrition and/or wellness recommendation based on the comparing.

15. A use of implementation 14 wherein the range is individualized for the subject.

16. A use of implementation 14 or 15 wherein the hormone is estrogen, progesterone, testosterone, or Cortisol.

17. A use of any of implementations 14-16 wherein the hormone level information indicates a day of the menstrual cycle.

18. A use of any of implementation 14-17 wherein the recommendation is based on day of the menstrual cycle.

19. A use of any of implementation 14-18 wherein the recommendation is to perform, reduce, increase, or avoid an exercise type.

20. A use of any of implementation 14-19 wherein the recommendation is to ingest, reduce, increase, or avoid a food type.

21. A use of any of implementation 14-20 wherein the recommendation is to increase fluid intake.

22. A use of any of implementation 14-21 wherein the recommendation includes a recipe.

23. A use of any of implementation 14-22 wherein performance of the recommendation alleviates a symptom.

24. A use of any of implementation 14-23 further including obtaining contextual data from the subject and providing a training, nutrition and/or wellness recommendation based on the hormone level information and the contextual data.

25. A computer readable storage media storing instructions that, when executed by one or more processors, cause the one or more processors to perform acts including: retrieving, from a database, first data indicative of hormone ranges, defined at least in part by a maximum threshold for the hormone and a minimum threshold for the hormone; receiving, hormone level information from a subject; determining whether the hormone level information is within or outside the maximum threshold and the minimum threshold range; determining a training, nutrition and/or wellness recommendation for the subject based on the determining.

26. The computer readable storage media of implementation 25 wherein the hormone level information from the subject include values for estrogen, progesterone, testosterone, or Cortisol.

27. The computer readable storage media of implementation 25 or 26 wherein the hormone level information is self-reported by the subject.

28. The computer readable storage media of any of implementations 25-27 wherein the self- reported hormone level information includes beginning and/or end date of last menses.

29. The computer readable storage media of any of implementations 25-28 wherein the hormone level information is derived from a biological sample.

30. The computer readable storage media of any of implementations 25-29 wherein the maximum threshold for the hormone and the minimum threshold for the hormone are derived from a population.

31. The computer readable storage media of any of implementations 25-30 wherein the maximum threshold for the hormone and the minimum threshold for the hormone are individualized for the subject.

32. A system, including a computing device having: one or more processors; memory coupled to the one or more processors, the memory storing instructions that, when executed, cause the one or more processors to: receive hormone level information derived from a subject, retrieve, from a database, values associated with hormone level ranges; determine, based upon comparing the hormone level information with the hormone level range a training, nutrition and/or wellness recommendation for the subject; and display the recommendation on a device associated with the subject.

33. The system of implementation 32 wherein the recommendation includes modifying one or more of a diet, an exercise regimen, an exercise intensity, or a sleep pattern of the subject, or any appropriate action or lifestyle element that the subject may take.

34. The system of implementation 32 or 33 wherein the instructions further cause the one or more processors to receive contextual data associated with the subject, the contextual data indicating one or more of dietary habits, rest habits, current mood, energy levels, or injury status of the subject, or any appropriate action or lifestyle element that the subject may take.

35. The system of any of implementations 32-34 wherein the hormone level information indicates a day of the menstrual cycle.

36. The system of any of implementations 32-35 wherein the recommendation is based on day of the menstrual cycle.

37. The system any of implementations 32-36 wherein the recommendation is to perform, reduce, increase, or avoid an exercise type.

38. The system of any of implementations 32-37 wherein the recommendation is to ingest, reduce, increase, or avoid a food type.

39. The system any of implementations 32-38 wherein the recommendation is to increase fluid intake.

40. The system of any of implementations 32-39 wherein the recommendation includes a recipe.

41. The system of any of implementations 32-40 wherein performance of the recommendation alleviates a symptom.

42. The system of any of implementations 32-41 wherein the hormone is estrogen, progesterone, testosterone, or Cortisol.

43. The system of any of implementations 32-42 wherein the hormone level information is self- reported by the subject.

44. The system of implementation 43 wherein the self-reported hormone level information includes beginning and/or end date of last menses.

45. The system any of implementations 32-44 wherein the hormone level information is derived from a biological sample.

46. A method comprising:

obtaining hormone related information and physical health information for a plurality of individuals; analyzing the hormone related information and the physical health information to determine one or more indicators for at least one hormonal state;

determining a value of an indicator of the one or more indicators for an individual;

determining, based at least partly on the value of the indicator, that a hormonal state of the at least one hormonal state corresponds to the individual; and

generating one or more user interfaces that include at least one of physical activity information related to the hormonal state, nutritional information related to the hormonal state, or physiological information related to the hormonal state.

47. The method of implementation 46, wherein the hormone related information includes at least one of age of the individual, pregnancy status of the individual, amount of time elapsed since the individual gave birth, amount of time elapsed since last menses of the individual, use of hormone- based contraception by the individual, or combinations thereof.

48. The method of implementation 46 or 47, wherein the physical health information includes at least one of physical symptoms of the individual, sleep information of the individual, heart information of the individual, or medical record information of the individual.

49. The method of any one of claims 46-48, further comprising determining a level of a hormone of the individual based at least partly on hormone related information of the individual and physical health information of the individual.

50. The method of any one of implementations 46-49, wherein the nutritional information includes at least one of vitamins, minerals, or types of food for the individual to consume during the hormonal state.

51. The method of any one of implementations 46-50, wherein the hormone related information and the physical health information for the plurality of individuals are obtained via one or more calls of an application programming interface (API) to a fitness tracking device of the individual, one or more calls an additional API to a fitness app, or one or more calls of an API of a third party service provider that stores at least a portion of the hormone related information, at least a portion of the physical health information, or both.

52. The method of any one of implementations 46-51 , wherein the one or more user interfaces include a user interface that includes at least one of hormone-related information or physical health information about a plurality of individuals included on a team.

53. The method of any one of implementations 46-52, wherein at least one user interface of the one or more user interfaces indicates progress of the individual toward one or more goals.

54. The method of any one of implementations 46-53, further comprising determining one or more recommendations for the individual based at least partly on the hormonal state of the individual.

55. The method of implementation 54, wherein the one or more recommendations are determined based at least partly on one or more goals of the individual, the one or more goals being related to at least one of physical activity goals of the individual, physical health goals of the individual, improvement of mental abilities of the individual, or improvement of a mood of the individual.

56. The method of implementation 54 or 55, wherein the one or more recommendations are determined based at least partly on an occupation of the individual or an average amount of physical activity of the individual over a period of time.

57. The method of any one of implementations 46-56, wherein the hormonal state of the individual includes first trimester of pregnancy, second trimester of pregnancy, third trimester of pregnancy, first phase of menstrual cycle, second phase of menstrual cycle, third phase of menstrual cycle, fourth phase of menstrual cycle, menopausal, postpartum, utilizing hormone-based contraception, premenopausal, or postmenopausal.

58. The method of any one of implementations 46-57, wherein determining the value of the indicator of the one or more indicators for the individual includes performing an assay to determine a value of a hormone of the individual.

59. The method of any one of implementations 46-58, further comprising analyzing data indicating one or more physical symptoms of the individual to determine the hormonal state of the individual.

60. A method comprising:

determining a phase of a menstrual cycle of an individual;

determining one or more first recommendations for physical activity corresponding to the phase of the menstrual cycle;

determining one or more second recommendations for nutritional information corresponding to the phase of the menstrual cycle; and

generating one or more user interfaces that include at least one of the one or more first recommendations or the one or more second recommendations.

61. The method of implementation 60, wherein determining the phase of the menstrual cycle of the individual includes determining a number of indicators for each phase of the menstrual cycle of the individual.

62. The method of implementation 61 , wherein determining the number of indicators of a phase of the menstrual cycle of the individual includes analyzing hormone related information of a number of individuals and physical health information of a number of individuals to determine that an indicator of the number of indicators has at least a threshold amount of significance in relation to the phase of the menstrual cycle of the individual.

63. The method of implementation 62, wherein the indicator has less than a threshold significance in relation to an additional phase of the menstrual cycle of the individual.

64. The method of implementation 62, wherein the indicator has less than a threshold significance in relation to an additional individual for the phase of the menstrual cycle of the additional individual.

65. The method of implementation 60, wherein determining the phase of the menstrual cycle of the individual includes determining a model to identify one or more phases of the menstrual cycle of the individual.

66. The method of any one of implementations 60-65, wherein determining the one or more first recommendations includes at least one of identifying at least one exercise that is beneficial to the individual during the hormonal phase or identifying a susceptibility to injury to the individual with respect to one or more exercises during the hormonal phase.

67. The method of any one of implementations 60-66, wherein determining the phase of the menstrual cycle of the individual includes determining a level of a hormone with respect to the individual and determining that the level of the hormone is within a predetermined range of levels for the hormone with respect to the phase of the menstrual cycle.

68. The method of any one of implementations 60-67, wherein the one or more user interfaces indicate progress of the individual with respect to at least one of a goal of the individual or with respect to an aspect of physical health of the individual.

69. A system comprising:

one or more processors;

memory coupled to the one or more processors, the memory storing instructions that, when executed, cause the one or more processors to:

obtain hormone related information and physical health information for a plurality of individuals; analyze the hormone related information and the physical health information to determine one or more indicators for at least one hormonal state;

determine a value of an indicator of the one or more indicators for an individual;

determine, based at least partly on the value of the indicator, that a hormonal state of the at least one hormonal state corresponds to the individual; and

generate one or more user interfaces that include at least one of physical activity information related to the hormonal state, nutritional information related to the hormonal state, or physiological information related to the hormonal state.

70. The system of implementation 69, wherein the hormonal state is a phase of a menstrual cycle of the individual, and the memory stores additional instructions that, when executed, cause the one or more processors to analyze at least one of physical symptoms of the individual and a time elapsed since last menses of the individual to determine the phase of the menstrual cycle of the individual.

71. The system of implementation 69 or 70, wherein the memory stores additional instructions that, when executed, cause the one or more processors to: analyze results from an assay to determine a level of a hormone of the individual; and wherein the hormonal state of the individual is based at least partly on the level of the hormone of the individual.

72. The system of implementation 71 , wherein the memory stores additional instructions that, when executed, cause the one or more processors to: determine a recommendation corresponding to at least one of training, nutrition, or wellness of the individual based on the level of the hormone of the individual.

73. The system of implementation 72, wherein the recommendation indicates at least one of: to perform, reduce, increase, or avoid an exercise type;

to ingest, reduce, increase, or avoid a food type;

to increase fluid intake; or

a recipe.

74. The system of implementation 72 or 73, wherein performance of the recommendation alleviates a symptom.

75. The system of implementation 71 , wherein the memory stores additional instructions that, when executed, cause the one or more processors to:

determine a level of a hormone of an individual based at least partly on a biological sample obtained from the individual; and

compare the level of the hormone to a range of levels for the hormone.

76. The system of implementation 75, wherein the memory stores further instructions that, when executed, cause the one or more processors to: generate, based at least partly on the level of the hormone being within the range of levels for the hormone, one or more additional user interfaces including a recommendation corresponding to at least one of training, nutrition, or wellness.

77. The system of implementation 75, wherein the memory stores further instructions that, when executed, cause the one or more processors to: generate, based at least partly on the level of the hormone being outside of the range of levels for the hormone, one or more additional user interfaces including a recommendation corresponding to at least one of training, nutrition, or wellness.

78. The system of implementation 77, wherein the range of levels for the hormone is individualized for the individual.

79. The system of implementation 77 or 78, wherein the hormone is estrogen, progesterone, testosterone, or Cortisol.

80. The system of any one of implementations 77-79, wherein the range of levels for the hormone is defined at least in part by a maximum threshold for the hormone and a minimum threshold for the hormone.

81. The system of implementation 80, wherein the maximum threshold for the hormone and the minimum threshold for the hormone are derived from a population.

82. The system of any one of implementations 71-80, wherein the recommendation includes modifying one or more of a diet, an exercise regimen, an exercise intensity, or a sleep pattern of the individual.

[0129] As will be understood by one of ordinary skill in the art, each implementation disclosed herein can comprise, consist essentially of or consist of its particular stated element, step, ingredient or component. Thus, the terms "include" or "including" should be interpreted to recite: "comprise, consist of, or consist essentially of." The transition term "comprise" or "comprises" means includes, but is not limited to, and allows for the inclusion of unspecified elements, steps, ingredients, or components, even in major amounts. The transitional phrase "consisting of excludes any element, step, ingredient or component not specified. The transition phrase "consisting essentially of" limits the scope of the implementation to the specified elements, steps, ingredients or components and to those that do not materially affect the implementation.

[0130] Unless otherwise indicated, all numbers expressing quantities of ingredients, properties such as molecular weight, reaction conditions, and so forth used in the specification and claims are to be understood as being modified in all instances by the term "about." Accordingly, unless indicated to the contrary, the numerical parameters set forth in the specification and attached claims are approximations that may vary depending upon the desired properties sought to be obtained by the present invention. At the very least, and not as an attempt to limit the application of the doctrine of equivalents to the scope of the claims, each numerical parameter should at least be construed in light of the number of reported significant digits and by applying ordinary rounding techniques. When further clarity is required, the term "about" has the meaning reasonably ascribed to it by a person skilled in the art when used in conjunction with a stated numerical value or range, i.e. denoting somewhat more or somewhat less than the stated value or range, to within a range of ±20% of the stated value; ±19% of the stated value; ±18% of the stated value; ±17% of the stated value; ±16% of the stated value; ±15% of the stated value; ±14% of the stated value; ±13% of the stated value; ±12% of the stated value; ±1 1 % of the stated value; ±10% of the stated value; ±9% of the stated value; ±8% of the stated value; ±7% of the stated value; ±6% of the stated value; ±5% of the stated value; ±4% of the stated value; ±3% of the stated value; ±2% of the stated value; or ±1 % of the stated value.

[0131] Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the invention are approximations, the numerical values set forth in the specific examples are reported as precisely as possible. Any numerical value, however, inherently contains certain errors necessarily resulting from the standard deviation found in their respective testing measurements.

[0132] The terms "a," "an," "the" and similar referents used in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. Recitation of ranges of values herein is merely intended to serve as a shorthand method of referring individually to each separate value falling within the range. Unless otherwise indicated herein, each individual value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., "such as") provided herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.

[0133] Groupings of alternative elements or implementations of the invention disclosed herein are not to be construed as limitations. Each group member may be referred to and claimed individually or in any combination with other members of the group or other elements found herein. It is anticipated that one or more members of a group may be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is deemed to contain the group as modified thus fulfilling the written description of all Markush groups used in the appended claims.

[0134] Certain implementations of this invention are described herein, including the best mode known to the inventors for carrying out the invention. Of course, variations on these described implementations will become apparent to those of ordinary skill in the art upon reading the foregoing description. The inventor expects skilled artisans to employ such variations as appropriate, and the inventors intend for the invention to be practiced otherwise than specifically described herein. Accordingly, this invention includes all modifications and equivalents of the subject matter recited in the claims appended hereto as permitted by applicable law. Moreover, any combination of the above-described elements in all possible variations thereof is encompassed by the invention unless otherwise indicated herein or otherwise clearly contradicted by context.

[0135] In closing, it is to be understood that the implementations of the invention disclosed herein are illustrative of the principles of the present invention. Other modifications that may be employed are within the scope of the invention. Thus, by way of example, but not of limitation, alternative configurations of the present invention may be utilized in accordance with the teachings herein. Accordingly, the present invention is not limited to that precisely as shown and described.

[0136] The particulars shown herein are by way of example and for purposes of illustrative discussion of the preferred implementations of the present invention only and are presented in the cause of providing what is believed to be the most useful and readily understood description of the principles and conceptual aspects of various implementations of the invention. In this regard, no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the invention, the description taken with the drawings and/or examples making apparent to those skilled in the art how the several forms of the invention may be embodied in practice.

[0137] Definitions and explanations used in the present disclosure are meant and intended to be controlling in any future construction unless clearly and unambiguously modified in the following examples or when application of the meaning renders any construction meaningless or essentially meaningless. In cases where the construction of the term would render it meaningless or essentially meaningless, the definition should be taken from Webster's Dictionary, 3rd Edition or a dictionary known to those of ordinary skill in the art, such as the Oxford Dictionary of Biochemistry and Molecular Biology (Ed. Anthony Smith, Oxford University Press, Oxford, 2004).

Claims

CLAIMS What is claimed is:

1. A method comprising:

2. The method of claim 1 , wherein the hormone related information includes at least one of age of the individual, pregnancy status of the individual, amount of time elapsed since the individual gave birth, amount of time elapsed since last menses of the individual, use of hormone-based contraception by the individual, or combinations thereof.

3. The method of claim 1 or 2, wherein the physical health information includes at least one of physical symptoms of the individual, sleep information of the individual, heart information of the individual, or medical record information of the individual.

4. The method of any one of claims 1-3, further comprising determining a level of a hormone of the individual based at least partly on hormone related information of the individual and physical health information of the individual.

5. The method of any one of claims 1-4, wherein the nutritional information includes at least one of vitamins, minerals, or types of food for the individual to consume during the hormonal state.

6. The method of any one of claims 1-5, wherein the hormone related information and the physical health information for the plurality of individuals are obtained via one or more calls of an application programming interface (API) to a fitness tracking device of the individual, one or more calls of an additional API to a fitness app, or one or more calls of an API of a third party service provider that stores at least a portion of the hormone related information, at least a portion of the physical health information, or both.

7. The method of any one of claims 1-6, wherein the one or more user interfaces include a user interface that includes at least one of hormone-related information or physical health information about a plurality of individuals included on a team.

8. The method of any one of claims 1-7, wherein at least one user interface of the one or more user interfaces indicates progress of the individual toward one or more goals.

9. The method of any one of claims 1-8, further comprising determining one or more recommendations for the individual based at least partly on the hormonal state of the individual.

10. The method of claim 9, wherein the one or more recommendations are determined based at least partly on one or more goals of the individual, the one or more goals being related to at least one of physical activity goals of the individual, physical health goals of the individual, improvement of mental abilities of the individual, or improvement of a mood of the individual.

11. The method of claim 9 or 10, wherein the one or more recommendations are determined based at least partly on an occupation of the individual or an average amount of physical activity of the individual over a period of time.

12. The method of any one of claims 1-11 , wherein the hormonal state of the individual includes first trimester of pregnancy, second trimester of pregnancy, third trimester of pregnancy, first phase of menstrual cycle, second phase of menstrual cycle, third phase of menstrual cycle, fourth phase of menstrual cycle, menopausal, postpartum, utilizing hormone-based contraception, premenopausal, or postmenopausal.

13. The method of any one of claims 1-12, wherein determining the value of the indicator of the one or more indicators for the individual includes performing an assay to determine a value of a hormone of the individual.

14. The method of any one of claims 1-13, further comprising analyzing data indicating one or more physical symptoms of the individual to determine the hormonal state of the individual.

15. A method comprising:

determining a phase of a menstrual cycle of an individual;

16. The method of claim 15, wherein determining the phase of the menstrual cycle of the individual includes determining a number of indicators for each phase of the menstrual cycle of the individual.

17. The method of claim 16, wherein determining the number of indicators of a phase of the menstrual cycle of the individual includes analyzing hormone related information of a number of individuals and physical health information of a number of individuals to determine that an indicator of the number of indicators has at least a threshold amount of significance in relation to the phase of the menstrual cycle of the individual.

18. The method of claim 17, wherein the indicator has less than a threshold significance in relation to an additional phase of the menstrual cycle of the individual.

19. The method of claim 17, wherein the indicator has less than a threshold significance in relation to an additional individual for the phase of the menstrual cycle of the additional individual.

20. The method of claim 15, wherein determining the phase of the menstrual cycle of the individual includes determining a model to identify one or more phases of the menstrual cycle of the individual.

21. The method of any one of claims 15-20, wherein determining the one or more first recommendations includes at least one of identifying at least one exercise that is beneficial to the individual during the hormonal phase or identifying a susceptibility to injury to the individual with respect to one or more exercises during the hormonal phase.

22. The method of any one of claims 15-21 , wherein determining the phase of the menstrual cycle of the individual includes determining a level of a hormone with respect to the individual and determining that the level of the hormone is within a predetermined range of levels for the hormone with respect to the phase of the menstrual cycle.

23. The method of any one of claims 15-22, wherein the one or more user interfaces indicate progress of the individual with respect to at least one of a goal of the individual or with respect to an aspect of physical health of the individual.

24. A system comprising:

one or more processors;

25. The system of claim 24, wherein the hormonal state is a phase of a menstrual cycle of the individual, and the memory stores additional instructions that, when executed, cause the one or more processors to analyze at least one of physical symptoms of the individual and a time elapsed since last menses of the individual to determine the phase of the menstrual cycle of the individual.

26. The system of claim 24 or 25, wherein the memory stores additional instructions that, when executed, cause the one or more processors to: analyze results from an assay to determine a level of a hormone of the individual; and wherein the hormonal state of the individual is based at least partly on the level of the hormone of the individual.

27. The system of claim 26, wherein the memory stores additional instructions that, when executed, cause the one or more processors to: determine a recommendation corresponding to at least one of training, nutrition, or wellness of the individual based on the level of the hormone of the individual.

28. The system of claim 27, wherein the recommendation indicates at least one of:

to perform, reduce, increase, or avoid an exercise type;

to ingest, reduce, increase, or avoid a food type;

to increase fluid intake; or

a recipe.

29. The system of claim 27 or 28, wherein performance of the recommendation alleviates a symptom.

30. The system of claim 26, wherein the memory stores additional instructions that, when executed, cause the one or more processors to:

compare the level of the hormone to a range of levels for the hormone.

31. The system of claim 30, wherein the memory stores further instructions that, when executed, cause the one or more processors to: generate, based at least partly on the level of the hormone being within the range of levels for the hormone, one or more additional user interfaces including a recommendation corresponding to at least one of training, nutrition, or wellness.

32. The system of claim 30, wherein the memory stores further instructions that, when executed, cause the one or more processors to: generate, based at least partly on the level of the hormone being outside of the range of levels for the hormone, one or more additional user interfaces including a recommendation corresponding to at least one of training, nutrition, or wellness.

33. The system of claim 32, wherein the range of levels for the hormone is individualized for the individual.

34. The system of claim 32 or 33, wherein the hormone is estrogen, progesterone, testosterone, or Cortisol.

35. The system of any one of claims 32-34, wherein the range of levels for the hormone is defined at least in part by a maximum threshold for the hormone and a minimum threshold for the hormone.

36. The system of claim 35, wherein the maximum threshold for the hormone and the minimum threshold for the hormone are derived from a population.

37. The system of any one of claims 27-36, wherein the recommendation includes modifying one or more of a diet, an exercise regimen, an exercise intensity, or a sleep pattern of the individual.