CN113724871A - Exercise health management method - Google Patents
Exercise health management method Download PDFInfo
- Publication number
- CN113724871A CN113724871A CN202110960910.4A CN202110960910A CN113724871A CN 113724871 A CN113724871 A CN 113724871A CN 202110960910 A CN202110960910 A CN 202110960910A CN 113724871 A CN113724871 A CN 113724871A
- Authority
- CN
- China
- Prior art keywords
- exercise
- health management
- information
- health
- management method
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 title claims abstract description 37
- 238000011156 evaluation Methods 0.000 claims abstract description 26
- 238000012216 screening Methods 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 11
- 230000000694 effects Effects 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000012360 testing method Methods 0.000 claims description 20
- 238000005259 measurement Methods 0.000 claims description 8
- 208000024172 Cardiovascular disease Diseases 0.000 claims description 5
- 201000010099 disease Diseases 0.000 claims description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 4
- 230000002526 effect on cardiovascular system Effects 0.000 claims description 4
- 208000017169 kidney disease Diseases 0.000 claims description 3
- 208000030159 metabolic disease Diseases 0.000 claims description 3
- 208000024891 symptom Diseases 0.000 claims description 3
- 208000016097 disease of metabolism Diseases 0.000 claims description 2
- 210000004072 lung Anatomy 0.000 claims description 2
- 210000003205 muscle Anatomy 0.000 claims description 2
- 230000000284 resting effect Effects 0.000 claims description 2
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000012549 training Methods 0.000 description 3
- 230000007211 cardiovascular event Effects 0.000 description 2
- 230000037081 physical activity Effects 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 208000031662 Noncommunicable disease Diseases 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000001684 chronic effect Effects 0.000 description 1
- 230000005802 health problem Effects 0.000 description 1
- 208000019622 heart disease Diseases 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 230000003387 muscular Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000002685 pulmonary effect Effects 0.000 description 1
- 230000000276 sedentary effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Landscapes
- Medical Informatics (AREA)
- Engineering & Computer Science (AREA)
- Public Health (AREA)
- Health & Medical Sciences (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
An exercise health management method comprising the steps of: s1: collecting user data; s2: processing the collected user data, and performing pre-exercise health screening, pre-exercise evaluation and health related fitness evaluation; s3: forming index information according to the pre-exercise health screening result, the pre-exercise evaluation result and the health related fitness evaluation result, and transmitting the index information to an exercise health management platform; s4: the exercise health management platform takes the index information as reference and pushes an exercise prescription to the user in a targeted manner; s5: periodically monitoring the effect of the exercise prescription, and feeding monitoring information back to the exercise health management platform; s6: the exercise health management platform updates the index information and repeats the step S4. Therefore, before the user exercises, the user data are collected and analyzed to provide a targeted exercise suggestion, and the exercise is beneficial to health.
Description
Technical Field
The invention relates to the technical field of health management, in particular to a sports health management method.
Background
Statistically, the population of China who meets the health definition of the world health organization accounts for only 15% of the population, while 15% of people are in a disease state and the remaining 70% are in a sub-health state. Scientific studies have shown that lack of exercise is one of the main causes of sub-health of the body, and active physical activity and scientific exercise are effective strategies to reduce the cost of chronic non-infectious diseases, playing an important role in preventing, delaying, reversing and treating chronic diseases.
Physical inactivity and sitting and moving are common life styles at present, and people in all fields pay attention to health problems caused by the physical inactivity.
Under the environment of advocating sports fitness, the exercise is not negligible, the exercise lacks guidance and planning, certain exercise risks are often caused by blindly performing the exercise and adopting wrong exercise modes, and certain exercise risks are also caused by performing high-intensity exercise on part of people (such as heart disease people) who are not suitable for exercise. In the situation that improper sports category and improper sports amount may have certain negative impact on human body, how to do scientific and effective sports becomes a very important issue.
Disclosure of Invention
The invention aims to provide a sports health management method and a sports health management system.
In a first aspect, an exercise health management method includes the steps of: s1: collecting user data; s2: processing the collected user data, and performing pre-exercise health screening, pre-exercise evaluation and health related fitness evaluation; s3: forming index information according to the pre-exercise health screening result, the pre-exercise evaluation result and the health related fitness evaluation result, and transmitting the index information to an exercise health management platform; s4: the exercise health management platform takes the index information as reference and pushes an exercise prescription to the user in a targeted manner; s5: periodically monitoring the effect of the exercise prescription, and feeding monitoring information back to the exercise health management platform; s6: the exercise health management platform updates the index information and repeats the step S4. Therefore, before the user exercises, the user data are collected and analyzed, a targeted exercise suggestion is provided, the exercise can be adjusted according to the actual exercise condition, the exercise recommendation more suitable for the self condition can be obtained by the user, and the health is facilitated.
With reference to the first aspect, in a first possible embodiment of the first aspect, in step S4, according to the evaluation result, before some users push the exercise prescription, an exercise test is performed, and then the exercise prescription is pushed specifically according to the exercise test result. In this embodiment, some users, such as new users, users who do not exercise for a long time, users whose body state changes significantly, or users who lack knowledge of their own body, often cannot obtain some information in the initial information collection process, and at this time, exercise testing is performed first to obtain user data, which may be more beneficial to recommending scientific exercise prescriptions.
With reference to the first aspect, in a second possible embodiment of the first aspect, the performing information feedback according to the monitoring result specifically includes tracking a motion situation of the user and providing a personalized motion course. In the embodiment, the movement condition of the user is monitored, and the movement of the user can be adjusted in time.
In a third possible embodiment of the first aspect in combination with the first aspect, the pre-exercise health screening is evaluated based on the current exercise level of the individual, the certainty of cardiovascular or metabolic diseases or renal diseases and whether the individual possesses symptoms or signs of these diseases, the expected exercise intensity. In the embodiment, three aspects of the pre-exercise health screening comprehensive evaluation of important risk factors of cardiovascular events related to exercise can screen users who are likely to have cardiovascular events in time, so that the risk of exercise is reduced.
With reference to the third embodiment of the first aspect, in a fourth possible embodiment of the first aspect, the pre-exercise assessment is based on medical history information, cardiovascular disease risk factor information, self-assessment information. In this embodiment, pre-exercise health screening and pre-exercise assessment are combined to screen most of the population that is temporarily not suitable for exercise, and the collected medical history information provides a basis for exercise prescriptions.
With reference to the first aspect, in a fifth possible embodiment of the first aspect, the health-related fitness evaluation is evaluated according to the index measurement information and the body composition information in a resting state. In this embodiment, data such as measurement information of the individual indexes and body composition information in a quiet state can be compared as indexes before and after the middle period of exercise training, and the feedback system adjusts the training plan.
With reference to the fifth embodiment of the first aspect, in a sixth possible embodiment of the first aspect, the measurement information of each index and the body composition information in a quiet state are obtained by measuring through the internet of things technology. In the embodiment, the information can be timely and accurately acquired through the internet of things technology, and recording loss of a user due to forgetting recording and the like is prevented.
With reference to the first embodiment of the first aspect, in a seventh possible embodiment of the first aspect, the exercise test comprises a lung endurance test, a muscle endurance test, a pliability test. In this embodiment, through the exercise test, different levels of fitness of the user can be obtained, and basis is provided for exercise training content.
With reference to the first aspect, in an eighth possible embodiment of the first aspect, the exercise prescription includes an exercise intensity plan, and the exercise intensity plan is generated according to the acquired user information. In the embodiment, the exercise intensity is planned through the user information, and an exercise intensity reference is provided for solving a plurality of adverse factors generated by living modes of sedentary, little movement and insufficient physical activity.
Drawings
Fig. 1 is a flowchart of an exercise health management method.
Detailed Description
Specific embodiments will now be described in detail with reference to the accompanying drawings.
Fig. 1 illustrates a flow chart of an exercise health management method.
The exercise health management method shown in fig. 1 includes the steps of:
s1: collecting user data;
s2: processing the collected user data, and performing pre-exercise health screening, pre-exercise evaluation and health related fitness evaluation;
s3: forming index information according to the pre-exercise health screening result, the pre-exercise evaluation result and the health related fitness evaluation result, and transmitting the index information to an exercise health management platform; pre-exercise health screening is evaluated based on the current exercise level of the individual, the certainty of cardiovascular or metabolic disease or renal disease and whether the individual possesses symptoms or signs of the disease, the expected exercise intensity; the assessment before exercise is carried out according to the medical history information, the cardiovascular disease risk factor information and the self-evaluation information; the health related fitness evaluation is carried out according to the measurement information of each index and the body composition information in a quiet state; and measuring the measurement information of each index and the body composition information in a quiet state by using the Internet of things technology.
S4: the exercise health management platform takes the index information as reference and pushes an exercise prescription to the user in a targeted manner; according to the evaluation result, part of users need to perform exercise test before pushing the exercise prescription, and then push the exercise prescription in a targeted manner according to the exercise test result; exercise tests include the pulmonary endurance test, the muscular endurance test, the flexibility test. The exercise prescription includes an exercise intensity plan, which is generated based on the collected user information.
S5: periodically monitoring the effect of the exercise prescription, and feeding monitoring information back to the exercise health management platform; the information feedback according to the monitoring result specifically means tracking the motion condition of the user and providing a personalized motion course.
S6: the exercise health management platform updates the index information and repeats the step S4.
In the embodiment, the pre-exercise health screening result, the pre-exercise evaluation result and the health related fitness evaluation are all designed according to medical foundation and clinical experience, have certain scientificity, and have more systematicness and scientificity compared with the past simple individual experience control. Meanwhile, the exercise health management method has personalized exercise feedback intervention at the later stage, and can adjust the exercise according to the exercise condition of the user.
Claims (9)
1. An exercise health management method, characterized by comprising the steps of:
s1: collecting user data;
s2: processing the collected user data, and performing pre-exercise health screening, pre-exercise evaluation and health related fitness evaluation;
s3: forming index information according to the pre-exercise health screening result, the pre-exercise evaluation result and the health related fitness evaluation result, and transmitting the index information to an exercise health management platform;
s4: the exercise health management platform takes the index information as reference and pushes an exercise prescription to the user in a targeted manner;
s5: periodically monitoring the effect of the exercise prescription, and feeding monitoring information back to the exercise health management platform;
s6: the exercise health management platform updates the index information and repeats the step S4.
2. The exercise health management method of claim 1, wherein in step S4, based on the evaluation result, some users need to perform exercise tests before pushing the exercise prescription, and based on the result of the exercise tests, the exercise prescription is then pushed specifically.
3. The exercise health management method according to claim 1, wherein the information feedback according to the monitoring result specifically means tracking the exercise situation of the user and providing a personalized exercise course.
4. The exercise health management method of claim 1, wherein the pre-exercise health screening is evaluated based on the current exercise level of the individual, the certainty of cardiovascular or metabolic disease or renal disease and whether the individual has symptoms or signs of such disease, the expected exercise intensity.
5. The exercise health management method of claim 4, wherein the pre-exercise assessment is based on medical history information, cardiovascular risk factor information, self-assessment information.
6. The exercise health management method according to claim 1, wherein the health-related fitness evaluation is evaluated based on each index measurement information and body composition information in a resting state.
7. The exercise health management method according to claim 6, wherein the individual index measurement information and the body composition information in a quiet state are obtained by measurement using internet of things technology.
8. The exercise health management method of claim 2, wherein the exercise test comprises a lung endurance test, a muscle endurance test, a pliability test.
9. The exercise health management method of claim 1, wherein the exercise prescription includes an exercise intensity plan, the exercise intensity plan generated based on the collected user information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110960910.4A CN113724871A (en) | 2021-08-20 | 2021-08-20 | Exercise health management method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110960910.4A CN113724871A (en) | 2021-08-20 | 2021-08-20 | Exercise health management method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113724871A true CN113724871A (en) | 2021-11-30 |
Family
ID=78677123
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110960910.4A Pending CN113724871A (en) | 2021-08-20 | 2021-08-20 | Exercise health management method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113724871A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202548844U (en) * | 2011-06-15 | 2012-11-21 | 奥美之路(北京)技术顾问有限公司 | Exercise health management intelligent terminal system |
| CN104091080A (en) * | 2014-07-14 | 2014-10-08 | 中国科学院合肥物质科学研究院 | Intelligent bodybuilding guidance system and closed-loop guidance method thereof |
| CN104657816A (en) * | 2015-01-26 | 2015-05-27 | 合肥博谐电子科技有限公司 | Intelligent human health evaluation and promotion service management system |
| CN107680674A (en) * | 2016-08-02 | 2018-02-09 | 蓝天方舟健康科技（北京）有限公司 | A kind of healthy platform of internet of things and its management method based on healthy big data |
| CN107767955A (en) * | 2017-10-18 | 2018-03-06 | 北京大学第三医院 | A kind of Personalized motion target heart rate design system and its application method |
| CN111403038A (en) * | 2020-03-13 | 2020-07-10 | 上海洛书医药科技有限公司 | AI-based constitution evaluation and health management system |
-
2021
- 2021-08-20 CN CN202110960910.4A patent/CN113724871A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202548844U (en) * | 2011-06-15 | 2012-11-21 | 奥美之路(北京)技术顾问有限公司 | Exercise health management intelligent terminal system |
| CN104091080A (en) * | 2014-07-14 | 2014-10-08 | 中国科学院合肥物质科学研究院 | Intelligent bodybuilding guidance system and closed-loop guidance method thereof |
| CN104657816A (en) * | 2015-01-26 | 2015-05-27 | 合肥博谐电子科技有限公司 | Intelligent human health evaluation and promotion service management system |
| CN107680674A (en) * | 2016-08-02 | 2018-02-09 | 蓝天方舟健康科技（北京）有限公司 | A kind of healthy platform of internet of things and its management method based on healthy big data |
| CN107767955A (en) * | 2017-10-18 | 2018-03-06 | 北京大学第三医院 | A kind of Personalized motion target heart rate design system and its application method |
| CN111403038A (en) * | 2020-03-13 | 2020-07-10 | 上海洛书医药科技有限公司 | AI-based constitution evaluation and health management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hurley et al. | Practices, perceived benefits, and barriers to resistance training among women enrolled in college | |
| Angevaren et al. | Physical activity and enhanced fitness to improve cognitive function in older people without known cognitive impairment | |
| Rooney et al. | Is knowing enough? Increasing physical activity by wearing a pedometer | |
| Minor et al. | Exercise maintenance of persons with arthritis after participation in a class experience | |
| van der Leeden et al. | Tailoring exercise interventions to comorbidities and treatment-induced adverse effects in patients with early stage breast cancer undergoing chemotherapy: a framework to support clinical decisions | |
| Solberg et al. | Effects of different types of exercise on muscle mass, strength, function and well-being in elderly | |
| Irwin et al. | Physical activity interventions following cancer diagnosis: methodologic challenges to delivery and assessment | |
| Verschuren et al. | Identification of a core set of exercise tests for children and adolescents with cerebral palsy: a Delphi survey of researchers and clinicians | |
| Welk et al. | Physical activity assessments in physical education: A practical review of instruments and their use in the curriculum | |
| Annesi et al. | Psychological factors discriminating between successful and unsuccessful weight loss in a behavioral exercise and nutrition education treatment | |
| Giné-Garriga et al. | The SITLESS project: exercise referral schemes enhanced by self-management strategies to battle sedentary behaviour in older adults: study protocol for a randomised controlled trial | |
| Greene et al. | Evaluation of a Laughter-based Exercise Program on Health and Self-efficacy for Exercise | |
| Crouch et al. | Relationship between pre-training wellness scores and internal and external training loads in a Division I women’s lacrosse team | |
| Casey et al. | Objective physical activity measurement in people with multiple sclerosis: a review of the literature | |
| Pothirat et al. | Long-term efficacy of intensive cycle ergometer exercise training program for advanced COPD patients | |
| Koontz et al. | Feasibility, acceptability, and preliminary efficacy of a handcycling high-intensity interval training program for individuals with spinal cord injury | |
| Holtz et al. | Comparison of Veteran experiences of low-cost, home-based diet and exercise interventions. | |
| Sacko et al. | New insight for activity intensity relativity, metabolic expenditure during object projection skill performance | |
| Jansson et al. | Integrating smartphone technology, social support and the outdoor built environment to promote community-based aerobic and resistance-based physical activity: Rationale and study protocol for the ‘ecofit’randomized controlled trial | |
| Calleja-González et al. | The Spanish “Century XXI” academy for developing elite level basketballers: design, monitoring and training methodologies | |
| Temprado et al. | Cognitive functioning enhancement in older adults: is there an advantage of multicomponent training over Nordic walking? | |
| Coote et al. | Energy expenditure during everyday activities–a study comparing people with varying mobility limitations due to multiple sclerosis and healthy controls | |
| Kaur et al. | Feasibility and potential benefits of a structured exercise program on cognitive performance in HIV | |
| McLaughlin et al. | Project GYM: A randomized feasibility study investigating effect on motivation of personal trainer‐led exercise in young men with hemophilia | |
| CN113724871A (en) | Exercise health management method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |