JP2011164670A - System, method and program for supporting improvement of lifestyle habit - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a lifestyle habit improvement support system for providing information useful to improve a participation rate in a lifestyle habit improvement program and a continuance rate. <P>SOLUTION: Basic information, constitution information, living information, and history information of a first participant who has participated in health guidance are stored in advance in a storage part of a computer. Basic information, constitution information, and living information of a second participant is received. A basic retrieval condition is generated from the basic information. The constitution information is set as a retrieval condition for constitution. The living information is set as a retrieval condition for living. A first participant corresponding to the basic retrieval condition is extracted from the basic information of the first participants stored in the storage part. Similarity between the constitution information of the extracted first participant and the retrieval condition of the constitution is calculated as a first similarity index. Similarity between the living information of the first participant and the retrieval condition for living is calculated as a second similarity index. The first similarity index and the second similarity index with the second participant fort the extracted first participant are output. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a lifestyle improvement support system that supports maintenance and improvement of living behavior for health management, health promotion, prevention or treatment of lifestyle-related diseases, and the like.

  It is important that a lifestyle improvement program, which is a method for maintaining and improving lifestyle behavior (hereinafter referred to as lifestyle improvement), participate as many people as possible and continue to work on it. For example, in the case of a lifestyle improvement program that focuses on weight as a result goal of lifestyle improvement and tackles weight loss, in the past, in order to understand the necessity of a lifestyle improvement program, the life of each individual by increasing body weight Methods and systems for quantitatively calculating and presenting the risk of developing habitual diseases have been developed (for example, Patent Documents 1 and 2).

  The lifestyle improvement program will change existing lifestyle behavior to a better one, and will require some effort. For this reason, in order for more people to participate and continue, it is important not only to understand the necessity but also to have the “confidence” that enables them to make this effort. To acquire this confidence, “Social Cognitive Theory”, one of the behavioral transformation models, states that “human behavior is determined by the interaction of individual factors and the environment”. It is said that "observing and learning the behavior of the child and the results produced by it (observation learning)" are related.

JP 2003-167959 A JP 2005-049960 A

In the background art mentioned above, it is important to observe what other participants' behaviors are specifically for the participants in the lifestyle improvement program to gain “confidence”, or how to realize them. It was not considered. Specifically, there are the following problems.
(1) When other people's behavior is too far away, the influence on the participant's behavior is limited. In particular, in the case of lifestyle improvement, there are various factors that affect the behavior of participants in addition to the lifestyle habits that are of interest, such as abnormalities in body type and examination values at the time of medical examination.
(2) In general, many people participate in the lifestyle improvement program, and many participants 'cases can be collected, but there is a way to select cases that lead to the participants' confidence from these many cases. Not clear.
(3) Information and examples to be presented at the stage prior to the implementation of the lifestyle improvement program (when encouraging participation, setting the goal of the first lifestyle action) and during the stage of implementation (when reviewing the target during the course) It is necessary to cope with different selection methods (the latter needs to take into account the status of health management efforts).

  These problems have not been taken into account at all in the above-described conventional technology.

  Therefore, the present invention has been made in view of the above problems, and it is an object of the present invention to provide a lifestyle improvement support method and system for providing information useful for improving a participation rate and a continuation rate in a lifestyle improvement program. In particular, it is to provide a lifestyle improvement support method and system that presents lifestyle improvement examples of past participants whose health conditions and lifestyles are similar to those of the lifestyle improvement program participants.

  In order to solve the above problems, a lifestyle habit improvement support system of the present invention comprises a computer having a processor that performs arithmetic processing, a storage unit that can be read and written by the processor, and an interface connected to the processor, Basic information including age and gender of the first participant who participated in the health guidance in the storage unit, constitution information on the constitution of the first participant, and life on the living environment and lifestyle of the first participant In a lifestyle improvement support system that stores information and history information of the first participant in advance to support health guidance of the second participant, the calculator includes the age and gender of the second participant Accept basic information, constitution information about the constitution of the second participant, and living information about the living environment and lifestyle of the second participant, Basic search conditions are generated, the constitution information is set as a constitution search condition, the life information is set as a life search condition, and the basic information of the first participant stored in the storage unit Extracting the first participant corresponding to the basic search condition, calculating the constitution information of the extracted first participant and the similarity of the constitution search condition as a first similarity index, The extracted life information of the first participant and the similarity of the search condition of the life are calculated as a second similarity index, and the extracted first participant is compared with the second participant. The first similarity index and the second similarity index are output to the interface.

  Therefore, according to the present invention, it becomes possible to easily and accurately refer to the history information of other participants based on the similarity of life information that is an item that can be changed by health management efforts. Can you present cases of past and present participants' health care in terms of

It is a block diagram which shows embodiment of this invention and shows the structure of a lifestyle improvement assistance system. It is a flowchart which shows embodiment of this invention and shows the outline | summary of the process by a lifestyle improvement assistance system. It is a flowchart which shows embodiment of this invention and shows an example of the process of the similar case presentation process F30. It is a figure which shows embodiment of this invention and demonstrates an example of the data structure of participation candidate management database D5. FIG. 4 is a screen image showing an example of a screen output to a display device such as a leader terminal device 200 in the constitution information search condition input step 1 and the life information search condition input step 2 of FIG. 3 according to the embodiment of the present invention. . It is a flowchart which shows embodiment of this invention and shows an example of the similar case search process step 3. FIG. The embodiment of the present invention is shown, a graph showing an example of conversion from a test value to an abnormal index is shown, (a) shows an example of conversion from a test value of TG (triglyceride: neutral fat) to an abnormal index, ( b) shows an example of conversion from a test value of HbA1c (hemoglobin AI) to an abnormal index 207, (c) shows an example of conversion from male HDL to an abnormal index, and (d) shows an abnormality from female HDL to abnormal An example of conversion to an index is shown. It is an example of the data structure of the information of the participant which shows embodiment of this invention and is stored in participant management database D1. It is an example of the data structure of the weight loss example of the participant which shows embodiment of this invention and is stored in the weight loss result database D4. It is an example of the life information of the participant which shows embodiment of this invention and is stored in progress information database D2. The embodiment of this invention is shown, the graph which converts the difference of a body type into a mismatch degree is shown, (a) shows the example which converts the difference of a participant's and participant's clothes (or weight) into a mismatch degree. , (B) shows an example of converting the difference between the BMI of the participating candidate and the participant into the degree of inconsistency, and (c) converting the difference in the clothes (or weight) between the participating candidate and the participant into the degree of inconsistency. Another example is shown, and (d) shows another example in which the difference between the BMIs of the participation candidate and the participant is converted into the mismatch degree. It is an example of the screen which showed embodiment of this invention and was implement | achieved by search result display step 4 of FIG. 3, and was displayed with personal computers, such as leader terminal device 200. FIG. FIG. 13 shows an embodiment of the present invention and is an example of a screen that displays details of a weight loss example that is displayed when “display” of a button 409 in FIG. 12 is pressed. It is an example of the screen which shows embodiment of this invention and displays all the weight reduction examples displayed when the button 412 shown in FIG. 12 is pressed down with a graph. It is a graph showing an embodiment of the present invention, showing a modified example of conversion from a test value to an abnormal index, (a) shows another example of conversion from a test value of TG (triglyceride) to an abnormal index, (B) shows another example of conversion from a test value of HbA1c (hemoglobin AI) to an abnormal index, (c) shows another example of conversion from male HDL to an abnormal index, (d) Shows another example of conversion from female HDL to an abnormal index. It is a screen image which shows embodiment of this invention and shows the concrete content of the weight loss menu of a participant and the life event which were shown in FIG. Embodiment of this invention is shown and the modification of the detailed display of a weight loss example is shown. Embodiment of this invention is shown and the modification of the graph display of a weight loss example is shown. It is a flowchart which shows embodiment of this invention and shows an example of the process performed by the similar case presentation process F3 of FIG. FIG. 20 shows the embodiment of the present invention, and is a screen image showing an example of search case conditions input in step 5 of FIG. 19. FIG. 20 is a screen image showing an example of the screen by the search result display in step 4 of FIG. 19 according to the embodiment of the present invention. It is an example of the screen which shows embodiment of this invention and displays the similar example containing a failure example with a graph. It is an example of a screen image which shows an embodiment of the present invention and shows the concrete contents of a weight loss menu of a participant of a failure example and a participant of a success example. It is a flowchart which shows embodiment of this invention and shows the other example of the process performed by the similar case presentation process F80 of FIG. It is a flowchart which shows embodiment of this invention and shows the detailed process which the server 400 performs by the improved lifestyle search condition input step 6. FIG. FIG. 26 is a flowchart illustrating an example of a subroutine of a weight reduction pattern calculation process performed in steps 321 and 323 in FIG. 25 according to the embodiment of this invention. It is explanatory drawing of the weight loss pattern which shows embodiment of this invention and shows the successful example of a weight loss example. It is explanatory drawing which shows embodiment of this invention and is a weight reduction pattern of the participant of guidance object. It is explanatory drawing of the weight loss pattern which shows embodiment of this invention and shows the failure example of a weight loss example. It is explanatory drawing of the weight loss pattern which shows embodiment of this invention, shows an example of a weight loss example, and cannot become a candidate of the guidance subject participant. It is an example of the information stored in the individual program database D3 of the embodiment of the present invention. It is explanatory drawing which shows the structure of the meal calorie database D6 of embodiment of this invention. It is explanatory drawing which shows the structure of the exercise calorie database D7 of embodiment of this invention. It is explanatory drawing which shows the structure of the regular event database D8 of embodiment of this invention.

  Hereinafter, an embodiment of the present invention will be described with reference to the accompanying drawings.

  In the present embodiment, in order to explain the embodiment in an easy-to-understand manner, an embodiment when applied to a lifestyle improvement program for the purpose of weight reduction will be described.

  FIG. 1 is a block diagram showing a configuration of a lifestyle improvement support system according to an embodiment of the present invention.

  The lifestyle improvement support system according to the embodiment of the present invention includes an administrator terminal device 100, a leader terminal device 200, a participant terminal device 300, and a server 400. In order to explain the administrator terminal, a form when applied to a lifestyle improvement support system that provides a lifestyle improvement program for weight loss as an example of health guidance will be described. In addition, in this embodiment, the person who is going to work on the lifestyle improvement program is a candidate for participation, the person who is working on the lifestyle improvement program is the participant, the person who recommends participation to the participation candidate, or the participant A person who gives guidance is called a leader. It should be noted that potential participants change their names by participating and working on lifestyle improvement programs.

  The lifestyle improvement program exemplified in the present embodiment is a program for reducing the weight in 90 days with 5% of the body weight as a target body weight. The action goal for changing lifestyle for weight loss is performed by selecting a card (weight loss menu = lifestyle improvement information) that specifically describes an action that leads to weight loss. This card describes actions such as exercise equivalent to 100 kcal and meals (such as refraining from eating or changing to other foods with low calories). Hereinafter, this card is referred to as a 100 kcal card. Specifically, the 100 kcal card describes actions such as “reduce rice by 1/3 cup”, “refrain 100 ml of orange juice”, and “walk for 20 minutes”. The participant selects a 100 kcal card that can be executed by himself / herself in advance. At this time, a plurality of cards of the same type can be selected. For example, when jogging is performed for about 20 minutes, two 100 kcal cards of “jogging 10 minutes” (the jogging depends on the body weight but corresponds to the consumption of 100 kcal in about 10 minutes) are selected. An action target is to set a target number of cards to be executed every day according to the amount of weight reduction up to the target weight, and to execute the target number of cards from the 100 kcal card selected in advance.

  After the start of the lifestyle improvement program, participants will be able to determine their weight in the morning (after getting up and going to the toilet) and night (after having dinner), the type and number of all 100 kcal cards that have been implemented, Record drinking parties, snacks, business trips, unselected exercises, late-night meals, poor physical condition, night shift), and your own comments on changing your lifestyle (reflecting, excuses, self-praise, etc.). Here, the unselected exercise is recorded when an exercise other than the exercise preselected at 100 kcal is performed. Also, check points are provided every 10 days, such as the 10th, 20th, and 30th days from the start of weight loss, and a target weight (hereinafter, target weight for every 10 days) is set. The target weight for every 10 days is the target weight in the middle of the weight reduction by dividing the weight loss from the starting weight to the target weight 90 days later by nine. On the day of this checkpoint, if the morning weight on that day is less than or equal to the target weight for every 10 days, the weight loss at this checkpoint has been achieved. Finally, if the body weight in the morning on the 90th day from the start of weight loss is less than or equal to the target weight, the server determines that the weight loss was successful.

In the present invention, weight loss cases of a plurality of participants of a lifestyle improvement program are stored in a case database (DB), and lifestyle improvement cases in which “can be confident” can be obtained from participating cases and participants from this case DB Present.
The device 100, the leader terminal device 200, the participant terminal device 300, and the server 400 are connected via a network 500.

  The administrator terminal device 100, the leader terminal device 200, and the participant terminal device 300 are computers each including a processor, a memory, a communication interface, and a user interface. Note that these terminal devices may be portable terminal devices such as a PDA or a mobile phone on which an application program (for example, a web browser) operates.

  The server 400 is a computer including a processor, a memory, a storage device, and a communication interface. The server 400 includes participation preparation processing means M1, participant data input / browsing processing means M2, intervention guidance processing means M3, event processing means M4, and similar case presentation means M5. Each of these functions is provided by a program stored in the memory.

  The storage device D of the server 400 includes a participant management database D1, a progress information database D2, an individual program database D3, a weight loss recording database D4, a candidate candidate management database D5, a meal calorie database D6, an exercise calorie database D7, and a regular event. A database D8 and a guidance record database D9 are stored. The participant management database D1, the progress information database D2, the individual program database D3, and the weight loss recording database D4 constitute the case database D100. The records of the participants in the case database D100 include all of the participants who have completed the past participants (weight reduction period) and those who are currently implementing the lifestyle improvement program (weight reduction).

<Database configuration>
The configuration of each database (DB) will be described below. First, a participant management database D1 for managing information on participants who participate in the lifestyle improvement program is configured as shown in FIG.

  Moreover, the participation candidate management database D5 which manages the information of the recommendation person or participation candidate for a lifestyle improvement program is comprised as shown in FIG.

  FIG. 4 is a diagram for explaining an example of the data structure of the participation candidate management database D5 of the present embodiment. In FIG. 4, the basic information 101 stores the participation candidate (or participation recommended person, the same applies hereinafter) gender and age, and 102 indicates information indicating the body type, such as the waist circumference, BMI (Body Mass Index), The body weight is stored, and 103 stores the blood sugar, lipid, blood pressure, and presence / absence of taking medicine as information indicating the test value. Even when there is no abnormality, blood sugar, lipid, and blood pressure can be stored. As the details of the test value 103, HbA1c of blood glucose indicates hemoglobin A1C, and FBS indicates a fasting blood glucose level. In addition, HDL of lipid indicates HDL cholesterol, and TG indicates triglyceride (neutral fat). The blood pressure (upper) is systolic blood pressure (maximum blood pressure), and the blood pressure (lower) is diastolic blood pressure (minimum blood pressure).

  The basic information 101, the body type 102, and the examination value 103 are constitutional information of the participating candidates.

  104 is life information of the participation recommender, and stores information on smoking, lifestyle, work style, and job type. These have the possibility of being able to be changed by the behavior of the participating candidates.

  Reference numeral 121 denotes an expression format of each data item. The gender of the basic information 101 is represented by binary values of 0 for male and 1 for female. In the case of taking a medicine having a test value 103, 0 is not taken and 1 is represented by 2 values in taking medicine. Specifically, in the test value 103, “while taking a blood sugar medicine” indicates whether or not a medicine that affects blood sugar is being taken, with 0 being no medication and 1 being medication. The same applies to lipids and blood pressure.

  In the life information 104, the smoking item is expressed as 0 not smoking and 1 smoking. For items having a large snack between lifestyle items, 0 indicates that there is not much snack, and 1 indicates that there is much snack. The same applies to other lifestyle items such as heavy drinking, frequent business trips, regular exercise, and lack of sleep time. Of the life information 104, the item of work style represents that 0 is not an irregular work and 1 is an irregular work. The item of job type is expressed with 0 being less office work and 1 being more office work. In addition, items (age, abdominal circumference, etc.) described as numerical values among the data items 121 are items expressed by numerical values obtained by examination or measurement.

  As input to the candidate management database D5, as will be described later, the basic information 101, the body type 102, and the examination value 103 are input in the constitution information retrieval condition input in step 1 shown in FIG. In the life information search condition input in step 2, the life information 104 is input.

  FIG. 8 shows an example of the data structure of the participant information stored in the participant management database D1 constituting the case database D100. The participant management database D1 has the same configuration as the participation candidate management database D5 described with reference to FIG. 4. The basic information 141, the body type 142, the test value 143, and the life information 144, which are data structure items, are shown in FIG. The items are the same as the items 101 to 104 in the participation candidate management database D5.

  The values stored in these items are newly measured by the participants of the lifestyle improvement program identified by the participant ID 140 as a result of the most recent health check when starting weight reduction or at the start of weight reduction. The result is stored. The participant ID 140 is a unique identifier in the case database D100, and is given by the server 400 at the time of registration in the lifestyle improvement program. The input to the participant management database D1 will be described later.

  FIG. 9 shows an example of the data structure of the participant weight loss case stored in the weight loss result database D4 constituting the case database D100. The weight loss result database D4 stores the weight loss results of the participants.

  The weight loss result database D4 is a participant ID 151 for identifying a participant on the lifestyle improvement support system, a start date 152 that is a date when the lifestyle improvement program is started, and a date when the lifestyle improvement program is ended. An end date 153, a start weight 154 for storing the weight at the start of the lifestyle improvement program, a start abdominal circumference 156 for storing the disclosed waist circumference, a start BMI 158 for storing the start BMI, End weight 156 for storing the weight at the end of the habit improvement program, end abdominal circumference 157 for storing the abdominal circumference at the end time, end BMI 159 for storing the BMI at the end time, and the weight set at the start of weight loss A program for storing a target weight 155 for storing the target value and a flag indicating whether or not the lifestyle improvement program has ended A completion flag 160, weight loss success flag 161 one of the participants Results for storing a flag indicating whether or not reached the target weight is stored when the program terminates. If the participant has not finished the lifestyle improvement program, the end date 153 stores the scheduled end date, and the weight loss success flag has achieved the most recent weight loss target (set every 10 days in this example). Is stored.

  FIG. 10 is an example of the participant's life information stored in the progress information database D2 constituting the case database D100. The progress information database D2 stores the daily lifestyle improvement records of the participants.

  The progress information database D2 includes a participant ID 131 for identifying a participant on the lifestyle improvement support system, an elapsed day number 132 for storing the elapsed days since the start of weight loss, and vital information (health information) at the time of the elapsed days As 133, for example, morning weight and night weight are stored, a record of actions performed by the participant is stored in the action record 134, and the elapsed days 132 are stored in the target management 135 as checkpoints every 10 days. Is stored, the target value of weight reduction in the elapsed days is stored.

  In the action record 134, the number of steps of the participant, the total number of types of 100 kcal cards executed, the ID of the executed 100 kcal cards (stored with an identifier assigned in advance to specify the type of 100 kcal cards executed), Number of 100kcal cards implemented (number of identical 100kcal cards identified by implementation card ID), presence / absence of a drinking party, presence / absence of snacks, presence / absence of business trips, exercises not selected The presence / absence, presence / absence of late-night meals, presence / absence of poor physical condition, presence / absence of night shift, and comments are stored. Here, a plurality of execution card IDs and execution card numbers are stored in accordance with the total number of types of 100 kcal cards that have been executed.

  The target management 135 stores a target weight for every 10 days and a weight reduction achievement flag for every 10 days indicating whether or not the target weight has been achieved. Moreover, the progress information database D2 which stores a participant's daily lifestyle improvement record is produced for every elapsed days (Day + 1, Day + 2).

  FIG. 31 shows an example of information stored in the individual program database D3 constituting the case database D100.

  The individual program database D3 is a database in which a weight reduction menu set by a participant in health guidance by the lifestyle improvement support system of the present embodiment is registered. The individual-specific program database D3 includes a participant ID 301 for storing the identifier of the participant, a program registration date D302 for storing the registration date of the weight reduction menu, a serial number D303, a food menu identifier D304 for life improvement items, and a life improvement. One record is configured including the item exercise menu identifier D305.

  The identifier of the participant who set the lifestyle improvement target is registered in the identifier ID 301 of the participant, the participant ID 140 of the participant management database D1, the participant ID 151 of the weight loss result database D4, and the participant of the progress information database D2. An identifier common to the ID 131 is used. In the program registration date D302, the date on which this improvement item is registered is registered.

  The serial number D303 stores a serial number for each participant in the weight reduction menu selected by the participant. The weight reduction menu selected by the participant is managed by the serial number D303. For example, when the same weight reduction menu is selected by the same participant, the number of the same weight reduction menu selected is assigned.

  In the improvement item meal menu identifier D304, an identifier for uniquely identifying the meal weight reduction menu selected by the participant is registered, and an identifier common to the identifier D601 of the meal calorie database D6 is used.

  In the exercise item identifier D305 of the improvement item, an identifier for uniquely identifying the exercise weight loss menu selected by the participant is registered, and an identifier common to the identifier D701 of the exercise calorie database D7 is used.

  The participation candidate management database D1, the progress information database D2, the individual program database D3, and the weight loss result database D4 constitute a case database D100 indicating the lifestyle improvement status of the participants who have implemented the lifestyle improvement support system. That is, the case database D100 can refer to the body type, the test value, or the life information, the implementation status of the lifestyle improvement program, and the implemented result based on the participant ID.

  FIG. 32 is an explanatory diagram showing a configuration of the meal calorie database D6 of the present embodiment.

  The meal calorie database D6 is a database in which a meal menu presented as a weight reduction menu to participants is registered. As described above, in the meal menu stored in the meal calorie database D6, the type of meal and the amount of meal (amount to reduce meals) are set for each predetermined calorie (for example, 100 kcal).

  The meal calorie database D6 stores a meal menu identifier D601, a meal menu category D602, a meal priority order D604, a meal menu name D603, a meal menu unit D605, and a meal menu unit calorie D606.

  An identifier for uniquely identifying the type of meal whose amount is to be reduced is registered in the meal menu identifier D601. In the meal menu category D602, the type of meal whose amount is to be reduced is registered. For example, “1” if the meal type is staple food, “2” if the meal type is liquor, “3” if the meal type is snack, and “9” if the meal type is not related to meals. "Is registered in the category D602. In the meal menu name D603, the type and amount of meal to be reduced in this meal menu are registered. The meal priority order D604 stores a priority order for presenting a meal menu to the participant. This priority order is set in process M17 described later, and the smaller the value, the higher the priority order. The meal menu unit D605 stores a unit to be ingested with respect to the contents of the meal menu name D603. For example, the weight “g” and the number of meals to be ingested are stored. The meal menu unit calorie D606 stores the amount of heat of the meal set in the meal menu name D605. In this embodiment, 100 kcal is set in the meal menu unit calorie D606.

  FIG. 33 is an explanatory diagram showing the configuration of the exercise calorie database D7 of the present embodiment.

  The exercise calorie database D7 is a database in which an exercise menu presented as a weight reduction menu to the participants is registered. As described above, in the exercise menu stored in the exercise calorie database D7, an exercise amount is set for each predetermined calorie (for example, 100 kcal).

  The exercise calorie database D7 includes an exercise menu identifier D701, exercise menu category D702, exercise priority D704, exercise menu name D703, exercise menu unit D705, exercise menu base weight (male) D706, 100 kcal consumption time (male), exercise menu 100kcal consumption time (male) D707, exercise menu base weight (female) D708 and 100kcal consumption time (female) D709.

  In the exercise menu identifier D701, an identifier for uniquely identifying the exercise to be performed by the participant is registered. In the exercise menu category D702, the type of exercise to be performed by the participant is registered. For example, “1” is registered in the category D702 if the exercise is walking or running, “2” if the exercise is sport, and “9” if it is not related to the exercise.

  The exercise priority order D704 stores a priority order for presenting an exercise menu to the participant. This priority order is set in process M17 described later, and the smaller the value, the higher the priority order.

In the exercise menu name D703, the type of exercise to be performed in this exercise menu is registered. In the exercise menu base weight (male) D706, the weight (in kg) of a man serving as a reference for the exercise time registered in the exercise menu 100 kcal consumption time (male) D707 is registered. The exercise menu 100 kcal consumption time (male) D707 includes the exercise menu base weight (male) D706, which is the standard weight of a man, and when the exercise menu D name 1003 is performed, the time required to consume 100 kcal (in minutes) ) Is registered. This is because the calorie consumption varies depending on the weight of the participant even in the same exercise, and the exercise menu base weight (male) D706 is used to calculate an appropriate amount of exercise based on the weight of the participant. Specifically, in order for a person with a weight of Wkg to consume 100 kcal,
Exercise time = standard time x standard weight / W
The motion of time calculated by is required.

  For example, if an exercise with a weight of 80 kg requires an exercise of 30 minutes to consume 100 kcal, an exercise of 60 minutes is necessary for a 40 kg participant to consume 100 kcal. It takes 24 minutes of exercise to consume.

  The exercise menu base weight (female) D708 and the exercise menu 100 kcal consumption time (female) D709 are the above-mentioned male reference weight and the exercise time of the exercise menu base weight (male) D706 and the exercise menu 100 kcal consumption time (male) D707. Similarly, a value in which a female reference weight and a reference exercise time are set for the exercise menu name D703 is stored.

  FIG. 34 is an explanatory diagram showing the configuration of the regular event database D8 of the present embodiment.

  The regular event database D8 is a database that stores events that are determined to be instructed from the state of the participant (the implementation status of the weight loss menu, the change in weight, the response status of the participant, etc.). The regular event database D8 includes an event identifier D801, a timing D802, a condition D803, an event content D804, a participant mail word identifier D805, and a leader word identifier D806.

  In the event identifier D801, an identifier for uniquely identifying an event is registered. In the timing D802, a time condition determined to be an event is registered. In the case of an event that does not define a temporal condition (an event that occurs any time if the condition D803 is satisfied), “as needed” is registered in the timing D802.

  In the condition D803, a condition for issuing an event (other than a time condition) is registered. “Intervention determination OK” in the condition D803 indicates an event that is executed when “intervention determination OK” is output in the intervention determination processing means M48 and the flowchart of FIG.

  In the event content D804, an action to be performed for this event is registered. That is, when the conditions registered in the timing D802 and the condition D803 are satisfied, the guidance registered in the event content D804 is performed.

  In the participant mail wording identifier D805, the wording identifier used as the text of the mail transmitted to the participant is registered among the words registered in advance in the text of the standard wording database (not shown). . In the instructor wording identifier D806, among the wording registered in the text of the standard wording database (not shown), the wording identifier used when displaying the result of the event check for the instructor is registered. The

Among the conditions registered in the condition D803, the X-day target is the weight that should be reached on the X-day to achieve the target at the end of the weight loss period, and is 10 of the goal management 135 of the progress information database D2. It is the target weight for each day, and is calculated by the following formula.
Start weight-((start weight-target weight) x X / weight loss period)
For example, the 10th day target weight of a participant who has the goal of losing 80 kg weight at the start to 3.5 kg in 90 days is:
80-((80-76.5) × 10/90) = 79.611 [kg]
The target weight on the 20th day is
80-((80-76.5) × 20/90) = 79.222 [kg]
It becomes.

  In the regular event database D8, the implementation rate of the weight reduction menu can be set in the condition D803. As a result, the system determines whether or not the weight reduction menu selected by the participant has been implemented, so that it is possible to propose a change in the weight reduction menu if it has not been implemented. Accordingly, it is possible to provide appropriate and uniform guidance according to the weight loss process of the participant while suppressing variation in judgment by the leader.

  The guidance record database D9 stores information on the history of health guidance by the lifestyle improvement support system of the present embodiment. For example, the instruction record database D9 stores the identifier, weight, and measurement date and time of the participant.

  FIG. 2 is a flowchart showing an outline of processing by the lifestyle habit improvement support system according to the embodiment of the present invention.

  First, input of own information by a participant or a candidate for health guidance by the lifestyle improvement support system of the present embodiment is accepted. The entered participant information (basic information 141, body type 142, test value 143) is registered in the participant management database D1. In addition, information on the participation candidates (basic information 101, body type 102, examination value 103) is registered in the participation candidate management database D5. Further, the server 400 assigns a participant ID 140 to the participant and registers it in the participant management database D1 (F1).

  Next, when the instructor conducts an inquiry regarding the living information to the participant or the candidate for participation, the server 400 displays the inquiry result as the living information 144 in the participant management database D1 or the living information in the candidate management database D5. It is stored in 104 (F2).

  Next, the server 400 shows, from the case database D100, lifestyle improvement examples of past participants whose health condition and lifestyle are similar to those of the participants or candidates who participate in the lifestyle improvement program, which is a feature of the present invention. Extract and present (F3, F30).

  Here, I don't know if I will participate in a lifestyle improvement program, but if I want to see a case similar to myself, I will show a success case of a past participant similar to the candidate. The similar case presentation process F30 is performed.

  On the other hand, for a participant who participates in the lifestyle improvement program, similar case presentation processing F3 for presenting success cases and failure cases of past participants similar to the participant is performed. These similar case presentation processes F3 and F30 will be described in detail later. In addition, the process with respect to a participating candidate is complete | finished by the similar case presentation process F30.

  Next, the server 400 refers to the information presented in the similar case presentation process F3, the participant information registered in the participant management database D1, and the answer to the interview registered in the interview result database D7. Then, a meal menu suitable for the participant is selected from the meal calorie database D6, an exercise menu suitable for the participant is selected from the exercise calorie database D7, and the selected meal menu and exercise menu are recommended menus as the participant terminal device 300. Send to.

  In the meal menu stored in the meal calorie database D6 and the exercise menu stored in the exercise calorie database D7, the amount of exercise and the amount of meal (amount to reduce meals) are set for each predetermined calorie (for example, 100 kcal). Has been. In addition, even in the same exercise, since the calorie consumption changes depending on the physical characteristics of the participant, for example, the weight, the exercise amount for each predetermined calorie consumption is calculated with reference to the participant information registered in the participant management database D1. Is done.

  The participant terminal device 300 presents the transmitted meal menu and exercise menu to the participant as a weight reduction menu. Participant terminal device 300 receives an input of a target weight from the participant. Further, the participant terminal device 300 accepts selection of a meal menu and an exercise menu by the participant. These input target weights, selected meal menus and selected exercise menus determine the participant's weight loss program. These input target weights are registered in the target weight 155 of the weight loss result database D4, and the selected meal menu and exercise menu are registered in the individual program database D3 (F4).

  Next, the participant terminal device 300 accepts input of the participant's daily data (weight, weight loss menu execution state and life information (behavior information)). The input data is registered in the progress information database D2 (F5).

  Next, the server 400 determines whether the data registered in the progress information database D2 matches the event registered in the periodic event database D8 at a predetermined timing (for example, repeatedly every predetermined period). (F6). The data determination result is registered in the weight loss result database D4, the progress information database D2, and the instruction record database D6.

  The events registered in the regular event database D8 are set in advance when the lifestyle habit improvement support system of the present embodiment is started up. As an event, for example, every time the number of days elapsed since the start of the lifestyle improvement program of the participant reaches a predetermined number of days (for example, every 10 days), the target weight for every 10 days was achieved by referring to the progress information database D2 Events that determine whether or not, or events that determine success or failure of weight loss when the number of days elapsed since the start of the participant's lifestyle improvement program reaches a predetermined expiration date, are set in the regular event database D8 in advance. The

  As a result of the event check process F6, when the target weight for every 10 days is achieved, the server 400 sets the weight loss success flag for every 10 days of the target management 135 of the progress information database D2 to “1” and sets the target weight to If it has exceeded, the successful weight reduction flag every 10 days of the target management 135 of the progress information database D2 is set to “0”.

  As a result of the event check process F6, the server 400 refers to the last data in the progress information database D2 for the participants whose elapsed days from the start of the lifestyle improvement program have reached the end date 153, and the weight is the target. If the weight is less than or equal to the weight, the weight loss success flag in the weight loss result database D4 is set to 1, otherwise the weight loss success flag is set to 0, the program end flag is set to 1, and the last information in the progress information database D2 Set weight to end weight 156.

  Next, the server 400 transmits the result of the event check process for the data in the progress information database D2 input by the participant to the instructor terminal device 200. The leader terminal device 200 displays the received determination result (F7).

  Next, the instructor performs instruction determined to be given to the participant based on the displayed determination result (F8). The execution of this guidance can also be performed by means such as e-mail using the lifestyle improvement support system of the present embodiment, and the leader does not use the lifestyle improvement support system of the present embodiment. In addition, it can be made by means such as telephone.

  At the time of this guidance, lifestyle improvement examples of past participants whose health condition and lifestyle are similar to those of the lifestyle improvement program participants, which is a feature of the present invention, are extracted from the case database D100 and presented ( F80). By extracting the lifestyle improvement status of other participants similar to the participant from the case database D100, the weight loss menu can be reconsidered.

  And the leader terminal device 200 receives the instruction | indication of the instruction | indication of the instruction | indication which the instruction | indication which the instructor determined to perform, and produces | generates the record of instruction | indication from the instruction | indication of execution of instruction input. Moreover, the leader terminal device 200 receives an input of a record of guidance given by the leader. These generated and input instruction records are registered in the instruction record database D9 (F9).

  As a result of the above processing, the constitutional information and life information 104 of the participant who participated in the lifestyle improvement program are registered in the case database D100 of the server 400. The progress information database D2 storing the action record is accumulated, the weight reduction menu selected by the participant is accumulated in the individual program database D3, and the weight loss success flag 161 of the weight loss result database D4 is determined when the weight loss period expires. . Thus, the implementation status of the lifestyle habit improvement program for all the participants is accumulated as the case database D100 by the processes F1 to F9.

<Similar case presentation process F30>
Next, details of the similar case presentation process F30 performed on the participation candidate in FIG. 2 will be described below. The similar case presentation process F30 of the present embodiment is an example in the case of providing a participant example of a lifestyle improvement program to a participating candidate at the stage before the implementation of the lifestyle improvement program, particularly when encouraging participation in the program. Show.

  FIG. 3 is a flowchart illustrating an example of a similar case presentation process F30 according to this embodiment. In FIG. 3, step 1 is a constitutional information search condition input step. Information that cannot be changed immediately by participating candidates such as basic information 101 of the participating candidates, body type 102, and examination value 103 (hereinafter referred to as constitutional information). ) To the participation candidate management database D5 of the server 400 from the leader terminal device 200 or the like.

  In step 2, information that can be changed by the participation candidate's actions such as the current lifestyle and surrounding environment of the participation candidate (hereinafter referred to as life information 104) is sent from the leader terminal device 200 or the like to the participation candidate of the server 400. It is an input process of the life information search condition input to the person management database D5.

  In the constitution information search condition input step 1 and the life information search condition input step 2, for example, an instruction or a numerical value is input on a screen displayed on a display device such as a leader terminal device 200 configured by a personal computer or the like. It is realized by.

  Step 3 is a similar case search processing step. Based on the information on the participation candidates input to the participation candidate management database D5 in the constitution information search condition input step 1 and the living information search condition input step 2, the case database A case suitable for obtaining a “confidence that can be done” for improvement of lifestyle is searched from past lifestyle improvement cases of a plurality of participants stored in advance in D100. This step 3 is processed as will be described later, for example, by the instructor terminal device 200 constituted by a personal computer or the like.

  Next, step 4 is a search result display step, in which the processing result of the similar case search processing step 3 is displayed on a display device such as the instructor terminal device 200, so that the participation candidate and the instructor can visually confirm. It is displayed in the form. This step 4 is realized by, for example, drawing the processing result as a numerical value or a graph on a display device such as the leader terminal device 200 configured by a personal computer.

  Through the above processing, for example, among the past participants who participated in the lifestyle improvement program, what lifestyle improvement is possible for participants who have succeeded in lifestyle improvement and whose constitutional information and lifestyle information are similar to the candidate candidates Can indicate to participants if they have practiced the program.

  Candidates can choose what programs they want to participate in lifestyle improvement programs by referring to past lifestyle success stories of past participants who are close to their constitution and lifestyle information. You will know if you can succeed, and you will gain confidence in participating in lifestyle improvement programs.

  FIG. 5 is a screen image showing an example of a screen output to the display device such as the leader terminal device 200 in the constitution information search condition input step 1 and the life information search condition input step 2.

  In FIG. 5, a screen 901 displays basic information 903, body type 902, test value information 905, medication use status (denoted as medication status in the figure) 909, and lifestyles performed in the constitution information search condition input step 1 described above. An input area for the information 907 is set, and the participation candidate or the leader can input the respective information from the leader terminal device 200 or the like to the participation candidate management database D5.

  Basic information 903 includes input items for age and gender, body type 902 includes input items for chest circumference, BMI, and weight, and test value information 905 includes HbA1c (hemoglobin A1 sea), FBS (fasting blood glucose level). ), HDL (HDL cholesterol), TG (triglyceride), blood pressure H (maximum blood pressure), blood pressure L (minimum blood pressure), and the medication status 909 includes diabetes, dyslipidemia, and blood pressure status. Consists of check boxes.

  The gender as the basic information 903 can be input from the pull-down menu 904 for male or female. The input area of the life information 907 performed in the life information search condition input step 2 is also set on the same screen 901, and the participation candidate or the leader can input the respective information in the same manner. The life information 907 includes check boxes corresponding to smoking, lifestyle, work style, and occupation in the life information 104 of the participation candidate management database D5, and the checked items are those of the life information 104 of the participation candidate management database D5. The value is input as “1”, and the value of the life information 104 is input as “0” for an item that is not checked.

  After completing the input of each item of basic information 903, body type 902, test value information 905, medication use status 909, and life information 907, the search button 908 is pressed to perform the similar case search processing step 3 as the next processing step. Is activated.

  The basic information 903, the body type 902, the test value information 905, the medication use status 909, and the life information 907 are stored in the basic information 101, the body type 102, the test value 103, and the life information 104 of the participation candidate management database D5, respectively. The

  FIG. 6 is a flowchart showing an example of the similar case search processing step 3 of the present embodiment. This flowchart is executed by the similar case presenting means M5 of the server 400.

  In FIG. 6, first, the search range of age and gender is determined (1300). This is a weight loss example of a participant who actually implemented a lifestyle improvement program based on the basic information 101 (age, gender) included in the constitution information of the candidate candidates entered in the constitution information search condition input step 1 Is searched from the participant management database D1. This search range is, for example, a gender match (for example, search for only males if the participation candidate is male), and a search condition (basic search condition) for a predetermined range from the age in the participation candidate management database D5. For example, it is determined from 5 years old to 5 years old (for example, when a candidate for participation is 43 years old, search for weight loss cases of participants from 37 years old to 48 years old).

  Next, the examination value 103 included in the constitution information of the participating candidates input in the constitution information search condition input step 1 is converted into an abnormality index (1301). The test value 103 has a normal range (reference value) including many healthy people. The abnormality index is 1 when increasing (high value) and -1 when decreasing (low value) than the reference value of the inspection value, and the value of the inspection result and the content of presence / absence of abnormality in the range of −1 to 1 ( (High value, low value) and an index indicating the degree. That is, if the value (inspection value) of each item of the inspection value 103 as the inspection result is within a preset normal range, the abnormality index is set to 0, and if the inspection value is lower than the preset normal range, the abnormality index is − If the inspection value is higher than a preset normal range, the abnormality index is set to 1.

  FIG. 7A shows an example of conversion from a test value of TG (triglyceride: neutral fat) to an abnormal index. The horizontal axis 201 is the value of TG, and the vertical axis 202 is the value of the abnormality index 202. Since the reference value (normal range) of TG is 30 to 149, the abnormality index 202 is 0 in the reference value range (244), the abnormality index is −1 if it is less than 30 (243), and abnormal if it is 150 or more (245). The index is set to 1, and the TG inspection value of the inspection value 103 is converted into the abnormality index 202.

  FIG. 7B shows an example of conversion from the test value of HbA1c (hemoglobin AI) to the abnormal index 207. The horizontal axis 206 is the value of HbA1c, and the vertical axis is the value of the abnormality index 207. Since the standard value of HbA1c is 4.3 to 5.8, the abnormal index is 0 in the standard value range (249), and the abnormal index exceeds −1, 5.8 if it is less than 4.3 (248). In (250), the abnormality index 207 is converted as 1.

  FIG. 7C shows an example of conversion from male HDL to an abnormal index. FIG. 7D is an example of conversion from female HDL to an abnormal index. 7C and 7D, the horizontal axes 211 and 216 are HDL values, and the vertical axis 212 is an abnormal index value. The standard value of HDL differs between men and women. For this reason, different conversions are performed according to sex. In addition, HDL cholesterol has a function of returning cholesterol that causes arteriosclerosis to the liver, and a lower value is a problem. For this reason, when the value of HDL is low, the abnormality index is set to 1. In the case of males (FIG. 7C), the reference value of HDL is 41 to 80, so that the abnormality index is 0 in the reference value range (254), and the abnormality index 212 is 1, 80 in less than 41 (255). When exceeding (253), the abnormality index is converted as -1. In the case of a woman (FIG. 7 (d)), the reference value of HDL is 41 to 90. Therefore, the abnormality index is 0 in the reference value range (259), and the abnormality index is 1, 90 in less than 41 (260). If it exceeds (258), the abnormality index is converted as -1. The determination as to which conversion of FIG. 7C or FIG. 7D is applied is automatically performed using the gender value of the basic information 101. Although not shown, other test values (FBS, blood pressure (upper), blood pressure (lower)) are similarly converted into abnormal indices.

  Next, returning to FIG. 6, the participant's weight loss case is read from the case database D100 (1302). The case database D100 stores the weight loss cases of the participants of the lifestyle improvement support program as described above. In addition to the constitution management information and lifestyle information participant management database D1 shown in FIG. It is a progress information database D2 storing daily action records (weight, number of steps, meal and exercise status, lifestyle, work style, etc.) during participation, and a weight loss result database D4 storing results of lifestyle improvement programs. In the present embodiment, in order to calculate the similarity between the participant stored in the case database D100 and the participation candidate who is currently the target of presentation of the similar case, the processing from step 1303 to step 1307 described later is performed. A weight loss case is read from the case database D100 shown in FIGS.

  The weight loss example read in step 1302 is a weight loss example included in the age and gender search range determined in step 1301. This process is based on the basic information 141 stored in the participant management database D1 of the case database D100, and the participant ID 140 whose gender matches the participant candidate and whose age is within a predetermined range from the participant candidate's age. Extraction is performed, and data in the decrease information database D2 and the quantity result database D4 corresponding to the participant ID 140 are read.

  Next, in step 1303, the value of the weight reduction success flag 161 stored in the weight loss result database D4 of the case database D100 read out in step 1302 is confirmed. The subsequent processing (step 304 to step 307) is performed.

  As a result, only successful candidates are extracted from participants who have completed the lifestyle improvement program, and loss of “confidence” can be prevented beforehand by inadvertently displaying failed cases of weight loss to participating candidates. Will be able to.

  Next, the examination value 143 included in the constitution information of the participant management database D1 read out in step 1302 is converted into an abnormal index (1304). In this process, the same process as described in Step 1301 is read in Step 1302, and the value of the case database D100 extracted in Step 1303 (the examination value 143 of the participant management database D1 that has succeeded in weight reduction) is used. Do. Specifically, HbA1c, FBS, HDL, TG, blood pressure (upper), and blood pressure (lower) stored in the test value 143 are converted into the abnormal indices shown in FIGS.

  Next, the degree of inconsistency and the degree of absolute disagreement between the search condition (the constitution information of the candidate candidate inputted in the constitution information retrieval condition input step 1) and the constitution information of the weight loss case read from the case database D100 are calculated (1305). .

  First, the degree of inconsistency between the candidate information and the participant information is calculated. This calculation is based on the process of obtaining the disagreement between the body type 102 of the participant candidate and the body type 142 of the participant who succeeded in the weight loss, the test value 103 of the participant candidate, and the test value 143 of the participant who succeeded in the weight loss. It is divided into processing to obtain the degree. In the following description, the participant who succeeded in the weight reduction extracted in step 1303 is defined as a weight reduction example.

In the process of obtaining the body type mismatch degree, first, a difference (abdominal circumference difference) of the abdominal circumference of the weight loss case with respect to the abdominal circumference of the participating candidate is calculated as a ratio (%). For example, if the candidate's waist circumference is A (K) and the weight loss case's waist circumference is A (S),
(A (K) -A (S)) / 100
Is calculated for each weight loss case as the abdominal circumference difference (ratio). This value is converted to the abdominal circumference inconsistency. This conversion is performed using, for example, a conversion graph shown in FIG.

  In FIG. 11A, the horizontal axis represents the calculated abdominal circumference difference, and the vertical axis represents the degree of mismatch. When the abdominal circumference difference is -5% or more and 5% or less, the degree of inconsistency is 0, when the abdominal circumference difference is greater than 5% and less than 10%, the degree of inconsistency is 0.5, and when the abdominal circumference difference is greater than 10%, the degree of inconsistency = 1, the degree of disagreement is −0.5 when the abdominal circumference difference is −10% or more and less than −5%, and the degree of disagreement is −1 when the abdominal circumference difference is less than −10. Assume that the abdominal girth inconsistency obtained in FIG.

As for the weight, the degree of inconsistency between the participating candidate and the weight loss case is calculated in the same manner as the waist circumference. For example, if the weight of the participating candidate is B (K) and the weight of the weight loss case is B (S),
(B (K) -B (S)) / 100
Is calculated as the weight mismatch degree, and the weight mismatch degree B is calculated using the conversion graph of FIG.

As for BMI, the degree of disagreement between the participation candidate and the weight loss case is calculated in the same manner as the waist circumference and weight. However, in the case of BMI, a conversion graph different from the waist circumference and weight is used. If the candidate candidate's BMI is C (K) and the weight loss case BMI is C (S),
(C (K) -C (S)) / 100
Is calculated as the BMI mismatch degree, and the BMI mismatch degree C is calculated using the conversion graph of FIG. When the same conversion graph as the weight in FIG. 11A is used to calculate the BMI mismatch C, the weight and height are used to calculate the BMI, so that the BMI mismatch is underestimated compared to the weight. Problems arise. Therefore, the calculation of the BMI mismatch degree C has an effect of reducing the above-described influence by using a conversion graph as shown in FIG. 11B different from the graph for obtaining the weight mismatch degree. In addition, as a graph for obtaining conversion from the difference between the values of the participation candidate and the participant's body shape into the degree of inconsistency, as shown in FIG. A graph in which the difference in BMI and the degree of inconsistency change continuously as shown in FIG.

  Next, the degree of inconsistency between the participation candidate and the test value of the weight loss case is calculated. The degree of disagreement between the test values is the abnormal index of each of the candidate candidates HbA1c, FBS, HDL, TG, blood pressure (upper), blood pressure (lower) obtained in step 1301 and the weight loss example obtained in step 1304. For each abnormal index, the inconsistency degree of each test value is calculated by subtracting the abnormal index of the weight loss example calculated in step 1303 from the abnormal index of the participant candidate calculated in step 1301.

Assuming that the abnormal index of HbA1c of the participation candidate is D (K) and the abnormal index of HbA1c of the weight loss example is D (S),
D = (D (K) -D (S)) / 2
Is calculated as the mismatch degree D of HbA1c. Here, the reason why the difference between the abnormal index of the participating candidate and the weight loss case is divided by 2 is to normalize the degree of inconsistency in the range of −1 to +1. This process has the effect of making it possible to match the weights with other calculated indices. Similarly, the abnormal index of FBS participation candidates is E (K), and the abnormal index of weight loss cases is E (S).
E = (E (K) -E (S)) / 2
Is calculated as FBS mismatch E.

Furthermore, the HDL abnormality index of the participating candidate is F (K), the HDL abnormality index of the weight loss case is F (S),
F = (F (K) −F (S)) / 2
Is calculated as the HDL mismatch E.

Also, G (K) is the TG abnormality index of the participating candidates, and G (S) is the TG abnormality index of the weight loss case.
G = (G (K) -G (S)) / 2
Is calculated as the TG mismatch degree G.

In addition, the abnormal indicator of the blood pressure (upper) of the participation candidate is H (K), the abnormal indicator of the blood pressure (upper) of the weight loss example is H (S),
H = H ((K) -H (S)) / 2
Is calculated as the discrepancy degree H of blood pressure (upper).

In addition, the abnormal indicator of the blood pressure (lower) of the participating candidate is I (K), the abnormal indicator of the blood pressure (lower) of the weight loss case is I (S),
I = I ((K) -I (S)) / 2
Is calculated as the discrepancy degree I of blood pressure (lower).

  Finally, the sum of the disagreements of all constitutions and test values calculated from the above, A + B + C + D + E + F + G + H + I is calculated. The calculated value is set as the disagreement degree X of the constitution information. As the disagreement degree X of the constitution information becomes a positive value, the health state of the participant (weight loss case) read from the case database D100 is better (a state where the risk of developing the disease is lower). In other words, the more negative the value, the higher the health of the participant (weight loss case) read from the case database D100 than the candidate for participation (the risk of disease development is higher). State). In this way, by giving the discrepancy degree X a positive value and a negative value, whether the health status of the weight loss case is good or bad with respect to the participating candidates themselves, not just the degree of discrepancy It will be possible to grasp including.

  Next, | A | + | B | + | C | + | D | + | E | + | F | + | G | + | H | + |, which is the sum of absolute values of the disagreement levels of each constitution information I | is calculated, and the calculated value is set as the absolute disagreement XX (first similarity index) of the constitution information. The absolute disagreement degree XX of the constitution information takes a value from 0 to 5, and is set to 5 when the value is 5 or more.

  Next, the degree of inconsistency and the degree of absolute inconsistency between the search condition (participant's life information 104 input in the constitution information search condition input step 2) and the weight loss case life information 144 read from the case database D100 are calculated ( 1306). First, the degree of disagreement between the participation candidate and the life information of the weight loss example is calculated.

  This is because there are many smoking, daily snacks, a lot of drinking, many business trips, not regularly exercising, lack of sleep time, many irregular work, many office work. For the item, the value of the life information 144 in the participant management database D1 of the weight loss case is subtracted from the value of the life information 104 written in the participation candidate management database D5, which is the value of the participation candidate. Here, the value of each item of the life information 104 of the participation candidate management database D5 and the life information 144 of the participant management database D1 stores 0 or 1.

If the value of the smoking item of the participation candidate is L (K) and the value of the smoking item of the weight loss example is L (S),
L = (L (K) −L (S))
Is calculated as the inconsistency L of smoking. Similarly, M (K) is the value for items with a large snack between participating candidates, and M (S) is the value for items with a large snack between weight loss cases.
M = (M (K) -M (S))
Is the discrepancy degree M of items with a lot of snacks.

Also, let N (K) be the value of the item with a lot of drinking by participating candidates, and N (S) be the value of the item with heavy drinking in the weight loss case.
N = (N (K) -N (S))
Is the discrepancy degree N of items with a lot of drinking.

In addition, the value of an item with many business trips of participating candidates is O (K), the value of an item with many business trips of weight loss cases is O (S),
O = (O (K) -O (S))
Is the discrepancy degree O of items with many business trips.

In addition, the value of the item of the candidate who is not exercising regularly is P (K), the value of the item of the weight loss example that is not exercising regularly is P (S),
P = (P (K) -P (S))
Is the inconsistency P of items that are not regularly exercising.

In addition, the value of the item for which the sleeping time of the participating candidate is insufficient is Q (K), the value of the item for which the sleeping time of the weight loss example is insufficient is Q (S),
Q = (L (K) -Q (S))
Is a discrepancy degree Q of items for which sleep time is insufficient.

Also, R (K) is the value of the item that has a lot of irregular work for the candidate, and R (S) is the value of the item that has a lot of irregular work in the weight loss case.
R = (R (K) -R (S))
Is the discrepancy degree R of items with a lot of irregular work.

Also, let T (K) be the value of an item with a lot of clerical work for participating candidates, and T (S) be the value of an item with a lot of clerical work in a weight loss case
T = (T (K) -T (S))
Is a discrepancy degree T of items with a lot of office work.

  Finally, the sum of the inconsistencies of all items of life information calculated above, L + M + N + O + P + Q + R + T, is calculated. This calculated value is defined as the disagreement degree Y of life information. The discrepancy degree Y indicates that the more positive the value is, the better the living situation of the weight loss example is (the more difficult it is to lead to abnormalities in body shape and test values), and the negative value becomes negative. The more it becomes, the more conversely, the life situation of the weight loss case should be more careful than the participation candidate (a state that tends to lead to an abnormality in the body type and the test value). In this way, by giving positive and negative values to the disagreement degree Y of the life information, not only the degree of disagreement but also the life situation of the weight loss case is good or bad based on the participation candidate himself / herself It becomes possible to grasp including the state.

  Next, | L | + | M | + | N | + | O | + | P | + | Q | + | R | + | T |, which is the sum of absolute values of the disagreement levels of each life information, is calculated. The calculated value is set as the absolute mismatch degree YY (second similarity index) of the life information. The absolute disagreement degree YY of the life information takes a value from 0 to 8, and is set to 5 when the value is 5 or more.

  Next, in step 1307, the total mismatch Z is calculated using the absolute mismatch XX of the constitution information calculated in step 1305 and the absolute mismatch YY of the life information calculated in step 1306 (1307). . The total mismatch Z is expressed by adding the absolute mismatch XX of the constitution information and the absolute mismatch YY of the life information. Therefore, the value of the total mismatch degree Z takes a value from 0 to 10.

  It is determined whether or not the processing in steps 1303 to 1307 has been performed for all the case databases D100 of the weight reduction cases (participants who have succeeded in weight reduction) (step 1308). If not, the processing returns to step 1302. Steps 1303 to 1307 are repeated.

  After performing the above steps 1303 to 1307, the constitutional information inconsistency degree X and the life information inconsistency degree Y, the constitutional information absolute inconsistency degree XX, the living information absolute disagreement degree YY, and the total inconsistency degree Z are calculated. The weight loss case becomes a search result of similar cases of the candidate candidates to be processed.

  FIG. 12 is an example of a screen displayed on a personal computer such as the instructor terminal device 200 realized in the search result display step 4 of FIG. In FIG. 12, 401 is a similar case search result screen, 407 is a similar case search result display area, and 402 to 406 and 411 are buttons for changing the search result display method. In this display example, only the five cases having the maximum integrated coincidence (the conversion value of the integrated inconsistency Z) among the weight loss cases retrieved in step 3 are displayed. In other words, information on the participants who are similar to the participants or the candidate candidates and who have succeeded in the lifestyle improvement program are displayed in the order of similar indices (integrated matching degrees).

  The “matching degree” in the display area 407 is a value of the total matching degree obtained by converting the integrated mismatching degree Z shown in 1307 of FIG. 6, and the total matching degree = 10−the total mismatching degree Z.

  The “weight / health state” in the display area 407 is the absolute coincidence degree of the constitutional information obtained by converting the absolute disparity degree XX of the constitutional information, and indicates the absolute disparity degree XX of the constitutional information. “Environment” is an absolute coincidence degree of life information obtained by converting an absolute disagreement degree YY of life information, and indicates 5-an absolute disagreement degree YY of life information, “age”, “sex”, “weight at start”, “end” The “time weight” is a value in the participant management database D1 and the weight loss result database D4, and the “decrease amount” is a difference obtained by subtracting the “weight at the end” from the “weight at the start”.

  Which case is displayed in the display area 407 is determined by buttons (403, 405, 411, etc.) for changing the display method. Thereby, even when the size of the display area is limited, only the necessary weight loss examples can be displayed from many search results.

  408 is an example of the search result, the degree of coincidence obtained by converting the total inconsistency Z of the weight loss case calculated in Step 3, the body type / health state obtained by converting the absolute disagreement XX of the constitution information, and the absolute disagreement YY of the life information The lifestyle, surrounding environment, age, gender, start weight, end weight, and amount of decrease are displayed.

  Here, the reason why the “coincidence”, “weight / health state”, and “lifestyle / environment” in the search result 408 are values obtained by converting the inconsistencies are as follows.

  Each of the inconsistencies Z obtained in FIG. 6 is a value indicating that the smaller the value is, the more consistent (a weight reduction case that is more similar to the candidate for participation, a desirable case). Different from human senses. Therefore, each inconsistency is displayed after conversion as described above. By this conversion, it becomes possible to display the search results in a form suitable for the feeling of the participation candidate or the instructor.

  The button 402 “all matching orders” is a button for displaying the top five weight loss cases in descending order of the integrated matching degree. All the weight loss cases obtained in step 3 are rearranged in the order of overall matching degree (or order of total mismatching degree), and five are selected from the upper (or lower) levels and displayed.

  The button 403 “order of matching of body shape / health state” is a button for displaying the top five weight loss cases in descending order of the absolute matching degree of the constitution information. All weight loss cases obtained in step 3 are rearranged in the order of absolute coincidence (or order of absolute disagreement) in the constitutional information, and five are selected from the upper (or lower) orders for display.

  The button 404 “order of matching of lifestyle habits and surrounding environment” is a button for displaying the top five weight loss cases in descending order of the degree of absolute matching of life information. This is realized by rearranging all weight loss cases obtained in step 3 in the order of absolute coincidence (or order of absolute disagreement) of life information, and selecting and displaying five from the upper (or lower) order.

  The button 405 “Display only people better than yourself” is a button that displays only weight loss cases that are better in health and lifestyle than the participating candidates. Of all the weight loss cases obtained in step 3, only the weight loss cases in which the disagreement degree X of the constitutional information and the disagreement degree Y of the life information are both 0 or more are displayed.

  On the other hand, the “display only people worse than yourself” button 405 is a button for displaying only weight loss cases that are considered to be worse in health and lifestyle than the participating candidates. Of all the weight loss cases obtained in Step 3, only the weight loss cases where the disagreement degree X of the constitutional information and the disagreement degree Y of the life information are both 0 or less are displayed.

  The button 411 “in order of increasing weight loss” is a button for displaying the cases of weight loss in order of decreasing amount. This is achieved by rearranging the weight reduction examples displayed in the display area 407 by rearranging them in the order of the reduction amount.

  The “display” button 409 is a button for displaying details of the weight loss example of the search result 408 as described later.

  FIG. 13 is an example of a screen that displays details of a weight reduction example (participant who has performed weight reduction) displayed when the “display” button 409 in FIG. 12 is pressed. FIG. 13 displays a specific progress of the lifestyle improvement program in a graph for the participant selected from the display area 407 of FIG.

  In FIG. 13, the detailed display screen 601 of the weight loss example displays a graph 602 of morning weight, night weight, and the number of steps recorded daily, an implementation status of a 100 kcal card, and a life event 603. The graph 602 displays the weight 604 as a line graph and the number of steps as a bar graph.

  In the figure, 606 is the target weight on the 10th day from the start of weight loss, 607 is the morning weight, 608 is the night weight, 609 is the number of steps, and 610 is the target weight on the 20th day. Here, the check point on the 10th day is that the morning weight 607 is higher than the target weight 606 and the target is not achieved, and the check point on the 20th day is that the morning weight is lower than the target weight 610 and the target is achieved. Is shown. For these pieces of information, the participant ID selected by the button 409 is acquired from the participant management database D1, and the server 400 reads the vital 133 of the progress information database D2 with the same participant ID every lapsed days 132. indicate.

  611 is an area for displaying the degree of implementation of the 100 kcal card, which was actually implemented for the target number (or number of registrations) of the 100 Kcal card (meal menu or exercise menu) that is carried out daily in the individual program database D3. The ratio (implementation ratio) of the total number of cards is obtained, and this ratio is displayed with three types of icons. 619 is an implementation rate of less than 30%, 620 is an implementation rate of 30% to less than 70%, and 621 is an icon indicating an implementation rate of 70% or more. Reference numerals 612 to 618 indicate areas for displaying drinking events, snacks, business trips, unselected exercises, late-night meals, poor physical condition, and night shift life events. When the events are recorded, an icon 624 is displayed as progress information. It is displayed at a position corresponding to the elapsed days 132 of the database D2. In FIG. 13, the implementation rate of the 100 kcal card on the 10th day is 70% or more (icon 622), indicating that the exercise (623) outside the selection was performed.

  In this way, the weight loss cases of other people who have similar constitutions (health state at present) and lifestyle habits are displayed in detail as actual examples, so you can learn by observing other people's actions and the resulting results (observation) Learning). With this observational learning, the candidate can acquire “confidence” that can make efforts to improve his / her lifestyle.

  In FIG. 12, a button 412 “graph display” is a button for displaying all the weight loss examples displayed in the display area 407 as a graph.

  FIG. 14 is an example of a screen that displays all weight reduction cases displayed as a graph when the button 412 shown in FIG. 12 is pressed. A weight reduction example is displayed as a scatter diagram 502 on the graph display screen 501 of all weight loss examples.

  The center 503 of the graph is an area of 5 where the absolute coincidence degree of the constitutional information and the absolute coincidence degree of the life information are both the maximum values. In other words, the absolute disagreement degree XX of the constitutional information and the absolute disagreement degree YY of the life information are 0. In this area, the constitution information and life information of the participating candidates match. Therefore, it can be easily understood that the black circle icons 508, 510, etc. near the center 503 are examples of the participants close to the current candidate candidates.

  The horizontal axis (506, 507) is the absolute coincidence (5-absolute disagreement YY of life information) of the life information (indicated as lifestyle habits and surrounding environment in the figure), and the vertical axis (504, 505) is the constitution This represents the absolute coincidence (5-absolute disagreement XX of constitution information) of information (denoted body type / health state in the figure). However, when the disagreement degree Y of the life information is 0 or more, it is plotted in the direction of the horizontal axis 506, and when it is 0 or less, it is plotted in the direction of the horizontal axis 507. Similarly, regarding the disagreement degree of the constitutional information, when the disagreement degree X of the constitutional information is 0 or more, it is in the direction of the vertical axis 504, and when the disagreement degree X of the constitutional information is 0 or less (negative value), it is the direction of the vertical axis 505. Plot to. Thus, weight loss cases with better health compared to the participating candidates are plotted in the direction of the vertical axis 504 (upper part of the graph), and weight loss cases in a state of caution are plotted in the direction of the vertical axis 505 (lower part of the graph). Is done. In addition, weight loss cases with better living conditions compared to participating candidates are plotted in the direction of the horizontal axis 506 (right side of the graph), and weight loss cases in a state of caution are plotted in the direction of the horizontal axis 507 (left side of the graph). The

  Specifically, in the weight loss example shown at 408 in FIG. 12, the absolute coincidence degree of the constitution information is 5 and the absolute coincidence degree of the life information is 4. Although not illustrated in this participant's case, it is a weight loss case where the disagreement degree of life information is 1. In this case, since the disagreement degree of the life information is 0 or more, it is plotted as a black circle icon 508 in the direction of the horizontal axis 506 on FIG. In the figure, 509 is a display of the weight loss (5.1 kg) of the weight loss example of the black circle icon. As another example, the weight loss example indicated by 410 in FIG. 12 has an absolute coincidence degree of 4 constitutional information and an absolute coincidence degree of life information of 4. Although not shown, it is a weight loss example in which the disagreement degree of the constitutional information is -1 and the disagreement degree of the life information is 1. In this case, since the disagreement degree of the constitutional information is 0 or less and the disagreement degree of the life information is 0 or more, a black circle icon 510 is plotted in the direction of the vertical axis 505 and the horizontal axis 506 on FIG. The amount of decrease (5.5 kg) is displayed.

  Next, a series of procedures for searching for and displaying similar cases in the present embodiment will be described.

  First, in the constitution information search condition input step 1 in FIG. 3, the server 400 takes in constitution information including information on the participant's body shape and examination values from the leader terminal device 200 or the like. Specifically, the participation candidate himself (or a leader who confirmed the situation of the participation candidate) displays the basic information 903 and the body type 602 on the input screen 901 shown in FIG. 5 based on the current situation of the participation candidate. The test value information 905 and the medication status 909 are input. The input contents are stored in the participation candidate management database D5 shown in FIG.

  Next, in the living condition search condition input step 2 in FIG. 3, living information including information on the lifestyle and surrounding environment of the participating candidates is captured. Specifically, the participation candidate himself (or a leader who confirmed the situation of the participation candidate) inputs the living information 907 on the input screen 901 shown in FIG. 5 based on the current situation of the participation candidate. . The input contents are stored in a data storage area in which the data structure shown in FIG. 4 prepared in advance can be stored.

  Next, when the search button 908 on the input screen 901 shown in FIG. 5 is pressed after the above input is completed, the similar case search processing step 3 in FIG. 3 is started, and the constitution information search condition input step 1 and the life situation search are performed. In the condition input step 2, the case database D100 is searched for weight loss cases similar to the constitution information and life information of the participation candidates taken into the participation candidate management database D5, and each index indicating similarity is calculated. Specifically, according to the processing procedure shown in FIG. 6, gender participates from a plurality of other participant weight loss cases stored in the participant management database D1 of the case database D100 having the data structure shown in FIG. Consistency information inconsistency X and absolute disagreement for cases (participants) that match the candidate, have an age range from 5 to 5 years old, and have succeeded in weight loss XX, life information mismatch Y, absolute mismatch YY, and overall mismatch Z are calculated.

  Finally, the weight loss cases for which the search and index calculation are performed in the similar case search processing step 3 in FIG. 3 are displayed in the search result display step 4. Specifically, it is displayed in the form shown in FIGS. 12, 13, and 14 as described above.

  FIG. 15 shows a modification example of converting the test value shown in FIG. 7 into an abnormal index, (a) shows a conversion example from the test value of TG (triglyceride) to the abnormal index 202, and (b) shows HbA1c ( (C) shows a conversion example from male HDL to abnormal index 212, and (d) shows conversion from female HDL to abnormal index 217. An example of conversion is shown.

  When the lifestyle improvement program targets weight loss, the test values of participants who are targeted for weight loss often exceed the standard range. Therefore, in the modification of FIG. 15, when the inspection value is out of the reference range as shown in FIG. 7, instead of 1 or −1, the inspection value is continuously set from the preset lower limit value to the upper limit value. Changed the relationship between abnormal indicators.

  For example, the conversion from the test value of TG (triglyceride) in FIG. 15A to the abnormality index 202 is performed so that the value of TG is proportional to between 30 and 400 and the abnormality index is proportional to between −1 and 1. A graph is set. The example of FIG. 7A shows a conversion graph in which the TG value is 30 or less, the abnormality index is -1, the TG value is 150 or more, and the abnormality index is 1. On the other hand, in FIG. 15A, since the abnormality index changes to 1 while the TG value is up to 400, the abnormality index is fine among participants or participation candidates with a TG value of 150 or more. Comparison is possible, and it can be determined whether the abnormality index is relatively high or low.

  Similarly, in FIG. 15 (b), the test value of HbA1c (hemoglobin AI) is set so as to continuously change between −1 and 1 while the test value is 4.0 to 8.0. In 15 (c), the male HDL is set between 30 and 100 so that the abnormal index continuously changes between 1 and -1, and in FIG. 15 (d), the female HDL is between 30 and 110. The abnormality index is set so as to continuously change between 1 and -1. By continuously converting the test value to the abnormal index, it is possible to make a detailed comparison of participants (or participating candidates) based on the abnormal index.

  FIG. 16 is a bar graph showing what weight reduction menu the participant shown in FIG. 13 performs and what kind of life event has occurred for each item of the weight reduction menu and the life event. It is displayed. The server 400 causes the instructor terminal device 200 or the like to display the screen 701 in FIG. 16 by a predetermined key input (for example, a function key) from the screen in FIG.

  The screen 701 in FIG. 16 includes an area 702 indicating the implementation status of the 100 kcal card selected by the participant in FIG. 13, an area 704 indicating the type and implementation status of the 100 kcal card selected by the participant, and the occurrence of a life event. An area 706 indicating the frequency is set.

  In an area 702, the number of executed 100Kcal cards 703 selected by the participant during the lifestyle improvement program period (weight loss period) is displayed as a bar graph. As for the number of cards executed 703, the server 400 adds up the “number of executed cards” in the action record 134 of the progress information database D2 from the selected participant ID for all the weight reduction periods, and displays the totaled value as a bar graph. .

  In the area 704, items 709 to 718 of the 100 Kcal card selected by the participant and the number of implemented items are displayed in a bar graph. The server 400 acquires the IDs (D304, D305) of the 100 Kcal card (meal menu, exercise menu) of the participant registered in the individual program database D3 for the items 709 to 718 of the 100 Kcal card selected by the participant. The menu names (D603, D703) are acquired from the meal calorie database D6 or the exercise calorie database D7 and displayed in the items 709 to 718. And the server 400 acquires implementation card ID among the action records 134 from the said participant's progress information database D2, totals appearance frequency for every implementation card ID in a weight reduction period, and respond | corresponds the total value for every ID. It displays as a bar graph of items 709-718.

  In a region 706, items 719 to 725 of life events that occurred in the participants during the weight loss period and the occurrence frequency of each item are displayed in a bar graph. The server 400 totals items in which the life event in the action record 134 of the progress information database D2 is YES from the selected participant ID, and displays the total value as a bar graph for each item 719 to 725.

  Candidates can know what kind of 100Kcal card the participant who succeeded in weight loss has selected and implemented, and also know what situation the life event of the selected participant was be able to. That is, for the participants who have determined that the server 400 determines that their constitution information and lifestyle are similar to each other from the screen of FIG. 16, the participant candidates select a specific weight loss menu (100 Kcal card) and the status of the life event. And gain confidence in participating in lifestyle improvement programs.

  FIG. 17 shows a modification of the detailed display of the weight loss example of FIG. In the detailed display of the weight loss example in FIG. 13, the presence / absence of each life event is displayed with an icon 624 for each day of the weight loss period for the life event of the participant who succeeded in weight reduction. For this reason, among the life events, there is a possibility that an individual is specified from the occurrence pattern of business trip 614, night shift 618, and the like. Therefore, in the detailed display of the weight loss example shown in FIG. 17, regarding the occurrence status of the life event, the elapsed date of the weight loss period is divided in units of 10 days, and the occurrence frequency of the life event for 10 days is indicated by the shading of the graph. While it is difficult to identify individuals, it suggests the occurrence of life events to participating candidates.

  In FIG. 17, for example, in the frequency of occurrence of a drinking party 612 among the life events, when there is a drinking party for 5 days or more in 10 days, the pattern 632 is displayed and the drinking party is held for 1 day or more in 10 days. When there is, display is performed with the pattern of the graph 634. Similarly, for other life events, a pattern to be displayed according to the number of days of occurrence is set in advance, and the action records 134 are totaled from the progress information database D2 of the selected participant, so that every 10 days of life events Display the pattern. Note that the pattern to be displayed may be appropriately changed according to a preset threshold value.

  As described above, the life event as shown in FIG. 17 displays the frequency of occurrence within a predetermined period (for example, 10 days), while suppressing the identification of participants in the lifestyle improvement program. , It is possible to present the status of occurrence of life events of successful examples of lifestyle improvement programs to participating candidates.

  FIG. 18 shows a modification of the graph display of the weight loss example of FIG. The weight loss example graph of FIG. 18 is obtained by adding the integrated coincidence pie charts 521 and 522 to the graph of FIG. 14 and replacing the memories of the axes 504 and 506 with the unified coincidence, and the other configurations are the same as FIG. It is.

  In FIG. 18, the pie charts 521 and 522 can easily identify an example of a participant who is close to the constitution information and life information icon 503 of the candidate candidate who is the search target of the similar example.

<Similar case presentation process F3>
FIG. 19 is a flowchart illustrating an example of similar case presentation processing for a participant performed in F3 of FIG. In the similar case presentation process F3 in FIG. 2, a participant who starts a lifestyle improvement program from now on succeeds from past weight loss cases, such as when performing initial setting (F4) for selecting a weight loss menu, or immediately before the initial setting. Make it possible to refer to both cases and failed cases, and promote the selection of weight loss menus that are more suitable for participants.

  In the similar case presentation process F3, the search target of the similar case presentation process F30 for the participation candidate in FIG. 3 includes a failure case in addition to a past participant's success case, and the constitution information search condition input (step 1) The difference is that the participant information is used in the life information search condition input (step 2).

  Note that failure cases of past participants are failure cases where the program end flag 160 of the weight reduction result database D4 is “1” (end) and the weight loss success flag is “0” (unsuccessful). .

  The process of FIG. 19 adds the search case condition input of step 5 to the similar case presentation process performed in F80 of FIG. 2 shown in FIG. 3, and a participant who newly becomes an instruction target including the search case condition. 3 is different from FIG. 3 in that the server 400 extracts similar cases from the case database 100, and in step 1 and step 2, the constitution information of the participants to be instructed is replaced with the participation candidates in FIG. The point of inputting life information is different, and the rest is the same configuration.

  FIG. 20 is a screen image showing an example of the search case condition input in step 5 of FIG. FIG. 20 is obtained by adding a search range 910 as a search case condition to the input screen 901 of the constitution information search condition input (step 1) and the life information search condition input (step 2) shown in FIG.

  A search range 910 in FIG. 20 is a check box for whether or not to include a case (failure case) of a participant who failed in a similar case, and search for a failure case in addition to the success case by clicking the input field. Add.

  Other configurations are the same as those in FIG. In the present embodiment, an example in which an input field for search case conditions is provided on the input screen 901 of the constitution information search condition input (step 1) and the life information search condition input (step 2) is shown. You may comprise with a screen.

  In FIG. 20, after inputting the constitutional information and life information of the participant to be instructed in the same manner as in FIG. 5, whether or not to add the failure example to the similar example is set in the search range 910, and the search button 908 By clicking, a similar example search is performed in the same manner as in FIG. As described above, when a failure case is set in the search range 910, the server 400 searches the case database 100 for similar cases from both successful and unsuccessful weight loss, and the failure case will be described later. To identify.

  FIG. 21 is a screen image showing an example of the screen by the search result display in step 4 of FIG. FIG. 21 has the same configuration as that of the screen image of FIG. 12 except that a failed participant case 414 is included in addition to the successful case.

  The failure case 414 in FIG. 21 is data in which the program end flag 160 is “1” (end) and the weight loss success flag is “0” as described above, and is displayed in a background or color different from the success case. The In the failure example of FIG. 21, the degree of coincidence with respect to the participants to be instructed is 9.0, the degree of coincidence of constitutional information = 4, the degree of coincidence of life information = 4, and the weight loss is 4.0. When the graph display button 412 is clicked for a similar example including the failure case 414, the server 400 outputs the graph shown in FIG. 22 to the instructor terminal device 200 or the like.

  FIG. 22 is a graph of the example of FIG. 21 showing similar examples of the top five matching degrees with the same configuration as FIG.

  In FIG. 22, the failure case corresponds to a black square icon 520, and the success case is displayed with black circle icons 510, 509, and the like. The configuration of the vertical axis 504 and the horizontal axis 506 is the same as that in FIG.

  The failure case 414 in FIG. 21 is data that is displayed by the icon 520 in FIG. 22 and whose constitutional information coincidence degree = 4, life information coincidence degree = 4, and the weight loss is 4.0. By displaying the success case and failure case icons in different shapes and colors, the success case and failure case can be clearly identified.

  FIG. 23 is a graph of the example of FIG. 21 showing similar examples of the top five matching degrees with the same configuration as FIG. In this screen, the server 400 causes the instructor terminal device 200 to display the screen 701 in FIG. 23 by selecting the failure case 414 from the screen in FIG. 21 and inputting a predetermined key (for example, a function key).

  The server 400 displays the details of the weight reduction menu selected by the participant of the selected failure case 414 in the area 730, and displays the details of the weight reduction menu selected by the participant of the successful case displayed in FIG. To do. Note that the success case compared with the failure case 414 may be set so that the server 400 selects a success case set in advance, such as a success case having a degree of coincidence close to the failure case 414.

  The weight loss menu area 731 selected by the success case participant is the same as in FIG. 16, and the bar graph 703 showing the implementation status of the 100 kcal card selected by the success case participant in FIG. An area 704 indicating the type and implementation status of the selected 100 kcal card is set.

  On the other hand, for the failure case weight reduction menu area 732, a bar graph 741 indicating the implementation status of the 100 kcal card selected by the participant of the failure example 414, and a bar graph indicating the type and implementation status of the 100 kcal card selected by the participant of the success example An area 733 indicated by is set. It should be noted that the bar graph in the region 733 can indicate which of the weight reduction menus is difficult to implement by displaying the weight reduction menus in the descending order of the number of executions. Moreover, in the success example area 704, it is possible to suggest which weight reduction menu is easy to implement by displaying the weight reduction menus in the order of the number of executions in order.

  Thus, the weight reduction menu can be obtained by presenting the success case and failure case 414 of the past participant similar to the participant among the cases of the past lifestyle improvement program to the participant who is newly instructed. It can be used for selection. That is, the instructor and the new participant can use the weight loss menu selected by the past successful case participants whose constitution information and life information are similar among the past participants whose basic information 141 is similar to the participant. By choosing, new participants can be confident that their lifestyle improvement program will succeed. In addition, by presenting failure cases of past participants similar to the participant, it becomes possible to understand what kind of weight loss menu is difficult to execute, and suppress failure in lifestyle improvement programs be able to.

<Similar case presentation process F80>
In F8 of FIG. 2, the instructor provides guidance to the participant at a predetermined cycle (for example, every 10 days, but the first time is 11). In the guidance of this predetermined cycle, the lifestyle improvement examples of past participants whose health condition and lifestyle are similar to the participants of the lifestyle improvement program are extracted from the case database D100 and presented (F80).

  In the similar example presentation process F80, unlike the similar case presentation processes F3 and F30, not only participants who have completed the lifestyle improvement program but also participants who are implementing the lifestyle improvement program are searched for similar cases. To do.

  Thereby, the weight reduction menu can be reconsidered by extracting from the case database D100 the lifestyle improvement status of all participants whose constitution information and life information are similar to the participant to be instructed.

  In the similar case presentation processes F3 and F30, the lifestyle improvement program is presented to the participant or the candidate candidate by presenting the successful case (or failure example) of the lifestyle improvement program to the new participant or candidate. It is suggested that can be completed. On the other hand, the similar case presentation process F80 is not limited to presenting successful participant cases to participants who are carrying out lifestyle improvement programs, and examples of cases where lifestyle improvement programs have failed or lifestyle improvement programs. The purpose of this program is to suggest a reconsideration of the weight loss menu for participants who are instructed to make a lifestyle improvement program successful.

  FIG. 24 is a flowchart illustrating an example of similar case presentation processing performed in F80 of FIG. The similar case presentation process F80 of FIG. 24 is started by the server 400 in response to a command from the leader terminal device 200 or the participant terminal device 300, and a search result is transmitted to the terminal.

  24, in the similar case presentation process F3 of FIG. 19, an improved lifestyle that sets a weight loss pattern (improvement pattern of a lifestyle improvement program) of participants to be instructed and a weight loss pattern of other participants in the case database D100. A search condition input step 6 is added, and in the similar example search process of step 3, similar examples are extracted from the case where the weight loss patterns obtained in step 6 match as in the first embodiment. Other configurations are the same as those of the similar case presentation process F3 of FIG.

  In step 6, it is also possible to display the match or mismatch of the weight reduction pattern on the search result display screen of FIG.

  FIG. 25 is a flowchart showing detailed processing executed by the server 400 in the improved lifestyle search condition input step 6.

  In step 321, the server 400 receives the participant ID to be instructed and the instruction target date (every 10 days) from the instructor terminal device 200 or the participant terminal device 300. Then, the server 400 extracts the progress information database D2 constituting the case database D100 from the participant ID and the guidance target date, and the target management is performed with the data of the elapsed days 132 that match the participant ID 131 and the guidance target date. With reference to 135, a reduction achievement flag every 10 days, a reduction pattern I is set by the process of FIG.

  Next, for the other participants, the progress information database D2 constituting the case database D100 is read (step 322), and the data of which the elapsed days 132 coincide with the guidance target date for each participant is set to 10 in the goal management 135. With reference to the daily reduction achievement flag, the reduction pattern J is set by the processing of FIG. 26 described later (step 323).

  In step 324, it is determined whether or not the weight loss pattern J of the other participant obtained in step 323 matches the weight loss pattern I of the participant to be instructed. If the weight loss pattern J matches the weight loss pattern I of the participant to be instructed, the process proceeds to step 325 and is temporarily stored as a candidate for a similar example. The similar example candidates may be stored in the storage device of the server 400. On the other hand, if the weight loss pattern J does not match the weight loss pattern I of the participant to be instructed, the weight loss pattern J is discarded.

  Next, in step 326, it is determined whether or not the calculation of the weight loss pattern J has been completed for all participants in the progress information database D2 of the case database D100. If not completed, the process returns to step 322 and the above processing is repeated. On the other hand, when the calculation of the weight loss pattern J is completed for all the participants, the process of step 6 is completed, and the process proceeds to the next similar example search process (step 3).

  FIG. 26 is a flowchart showing an example of a subroutine for calculating the reduction pattern performed in steps 321 and 323 of FIG.

  First, in step 351, the data of elapsed days 132 that coincide with the guidance target date is searched from the progress information database D2 for the participant who is paying attention. Then, with respect to the data of the retrieved progress information database D2, it is determined whether or not the weight reduction achievement flag every 10 days of the target management 135 is “1” (achieved). If “1”, the process proceeds to step 352 and proceeds to 357.

  In step 352 in the case of “0”, a target achievement rate is obtained by adding up the weight reduction achievement flags of past data rather than the data on the Nth day (guidance target date) of the currently read participant, and the target achievement rate is 30. If it is less than or equal to%, the process proceeds to step 353, and if the target achievement rate exceeds 30%, the process proceeds to step 354. For example, when the information on the 40th day is read with the instruction target date N = 40, the data on the 10th day, the 20th day, and the 30th day of the same participant is read to obtain the target achievement rate.

  In step 353, since the target is not achieved on the Nth day and the target achievement rate before the Nth day is 30% or less, the reduction pattern = 0 is set.

  In step 354, it is determined whether the target achievement rate of the past data from the Nth day is 70% or more. If the target achievement rate is 70% or more, the reduction pattern = 2 is set, and if the target achievement rate is less than 70% and more than 30%, the reduction pattern = 1 is set.

  In the step 357 in the case of “1” in the determination of the above step 351, the target achievement rate is obtained by adding the reduction achievement flags of the past data rather than the N-th day data of the currently read participant to obtain the target achievement rate. If it is 30% or less, the process proceeds to step 359, and if the target achievement rate exceeds 30%, the process proceeds to step 358.

  In step 358, since the goal is achieved on the Nth day and the goal achievement rate before the Nth day is 30% or less, the reduction pattern = 3 is set.

  In step 359, it is determined whether the target achievement rate of the past data from the Nth day is 70% or more. If the target achievement rate is 70% or more, the reduction pattern is set to 5. If the target achievement rate is less than 70% and more than 30%, the reduction pattern is set to 4.

  By the above processing, the weight loss pattern is classified into 0 to 5, and the larger the weight loss pattern value, the better the goal achievement rate and the past goal achievement rate on the Nth day, and the better the progress of the lifestyle improvement program. ing.

  For example, it is assumed that the participant to be instructed is in a weight reduction situation as shown in FIG. In this case, the target has not been reached on the Nth day, and the past target achievement rate exceeds 30%, so the reduction pattern I = 2 from FIG.

  Next, as another example of the participant, since the participant in FIG. 27 has not reached the 40th day and the target achievement rate in the past (10th to 30th) is 70% or more, the weight loss pattern J = 2 And accumulated as candidates for similar cases of participants to be instructed.

  In addition, as another example of the participant, the participant in FIG. 29 has not reached the 40th day and the target achievement rate in the past (10th to 30th) is 70% or more, so the weight loss pattern J = 2 Thus, this participant case is also accumulated as a candidate for a similar case of the participant to be instructed.

  Furthermore, as another example of the participant, the participant in FIG. 30 achieves the 40th day and the target achievement rate in the past (10th to 30th) is 30% to 70%, so the weight loss pattern J = 4 Thus, the participant's case is excluded from the similar case candidates of the target participant.

  In this way, in step 6 of FIG. 24, the participant of the weight reduction pattern in the case database D100 that matches the weight reduction pattern of the guidance target participant on the guidance target date is extracted as a case candidate.

  Then, in step 3, among the similar cases retrieved in the same manner as in step 3 of FIG. 19, the participant who is a candidate for the case in step 6 is output as a similar case.

  In the search result of Step 4, a weight loss example in which the weight reduction pattern on the Nth day coincides with the participant to be instructed. The similar cases with the same weight loss pattern include a case where the 40th day was not reached, as in the case of a participant (case) in FIG. Is not achieved, and after that, it has not been achieved and the weight loss has been included. About these data, the occurrence pattern of the life event and the details of the weight loss menu shown in FIG. 16 are displayed from the graph of FIG. It is possible to give specific attention to the above.

  As described above, according to the present invention, for the participation candidates prior to the implementation of the lifestyle improvement program, what can be succeeded in improving the lifestyle by executing the lifestyle improvement program, By presenting from the success case where the constitution information of the candidate for participation and the lifestyle are similar, the confidence to participate in the lifestyle improvement program can be given to the candidate for participation.

  In addition, for new participants who start a lifestyle improvement program, what kind of weight loss menu should be selected and what should be taken into account in order to succeed in improving the lifestyle through the lifestyle improvement program It is possible to know from past cases where the constitution information and life information are similar to you, and in the past cases where the constitution information and life information are similar to you, in what life event or weight loss menu It is possible to know whether it has failed, and it is possible to suggest the correct selection of the weight loss menu and the caution points for life events.

  In addition, for participants who are implementing a lifestyle improvement program, present success cases and failure cases from cases where the constitutional information and lifestyle are similar to each other and the weight loss pattern on the Nth day is the same. Thus, in order to succeed in improving lifestyle with the lifestyle improvement program, it is possible to present with high accuracy what kind of weight loss menu to change and what should be taken into account in the lifestyle event.

  With the above configuration, the lifestyle improvement support system and lifestyle improvement method of the present invention that provides a lifestyle improvement program can perform processing based on the similarity of lifestyle information, which can be changed by health management efforts. , There is an effect that it becomes possible to present the weight management cases of past participants in terms of “whether they can make the same improvement” to the participating candidates. Appropriate depending on the stage before starting weight loss (F30 when recommending participation, F3 and F4 when setting the first action target) and the stage after starting weight reduction (F80 when reviewing the action target halfway) It is possible to search and display various health management cases.

  In the above embodiment, an example of application to a lifestyle improvement program for managing body weight as a lifestyle improvement support system has been shown, but the lifestyle improvement program is not limited to this, and blood pressure and blood sugar levels are not limited to this. It can be applied to a lifestyle improvement support system that is managed. In this case, BMI, waist circumference, and weight increase / decrease may be set as appropriate according to the items to be managed.

  In the similar case search process (step 3), the presence or absence of medication may be added to the calculation of the inconsistency. Alternatively, in the similar case search process of the participant or participating candidate who is taking medicine, the test value may be ignored and the participant who is taking the same kind may be searched as a candidate of similar case. In this case, when there is no participant who is taking the same kind of medicine, the above-described similar case search process may be performed with the abnormal index related to the medicine taken as the maximum value.

  In addition, in the similar case search process (step 3), only participants whose accurate information is recorded in the progress information database D2 may be targeted, and participants whose daily data or participant management database is missing are included. By excluding, it is possible to improve the accuracy of the search process for similar cases.

  Further, the degree of inconsistency may be calculated separately when the weight loss example has a better value than the participation candidate, and may be displayed only when the degree of inconsistency is 0.

  The absolute disagreement XX may be calculated by calculating A * A + B * B + C * C + D * D + E * E + F * F + G * G + H * H + I * I to obtain the square similarity XX.

  Further, the absolute mismatch degree YY may be calculated as L × L + M × M + N × N + O × O + P × P + Q × Q + R × R + T × T to obtain the square similarity YY.

  Further, as the similarity index (inconsistency X) related to the test value, an abnormal index of the test value obtained by weighting each test value according to the onset risk may be used.

  As described above, the present invention can be applied to a lifestyle improvement support system and method for performing health management by improving lifestyle.

200 leader terminal device 300 participant terminal device 400 server D100 case database D1 participant management database D2 progress information database D3 individual program database D4 weight loss result database M2 participant data input / view processing means M5 similar case presentation means

Claims (12)

An age and gender of a first participant who participated in health guidance in the storage unit, comprising a computer having a processor for performing arithmetic processing, a storage unit readable and writable by the processor, and an interface connected to the processor The basic information including the constitution information on the constitution of the first participant, the life information on the living environment and lifestyle of the first participant, and the history information of the first participant are stored in advance. In the lifestyle improvement support system that supports the health guidance of 2 participants,
The calculator is
Accept basic information including age and sex of the second participant, constitution information about the constitution of the second participant, and living information about the living environment and lifestyle of the second participant,
Basic search conditions are generated from the basic information, the constitution information is set as a constitution search condition, the life information is set as a life search condition,
Extracting the first participant corresponding to the basic search condition from the basic information of the first participant stored in the storage unit;
Calculating the extracted first participant constitution information and the similarity of the constitution retrieval condition as a first similarity index;
Calculating the degree of similarity between the extracted life information of the first participant and the search condition of the life as a second similarity index;
The lifestyle improvement support system, wherein the first similarity index and the second similarity index of the extracted first participant and the second participant are output to the interface. The lifestyle improvement support system according to claim 1,
The history information includes information indicating whether or not the first participant's health guidance has been completed, and information indicating whether or not the first participant has succeeded in health guidance,
When extracting the first participant corresponding to the basic search condition from the basic information of the first participant stored in the storage unit, refer to the history information of the first participant A lifestyle improvement support system, wherein the first participant who has completed the health guidance and succeeded in the health guidance is extracted. The lifestyle improvement support system according to claim 1,
The history information includes information indicating whether or not the first participant's health guidance has been completed, and information indicating whether or not the first participant has succeeded in health guidance,
When extracting the first participant corresponding to the basic search condition from the basic information of the first participant stored in the storage unit, refer to the history information of the first participant , Extract the first participant who completed the health guidance,
When the extracted first participant is output the first similarity index and the second similarity index with the second participant to the interface, the first health instruction was not successful. A lifestyle improvement support system characterized by assigning a predetermined identifier to a participant. The lifestyle improvement support system according to claim 1,
The history information holds a history of changes in constitution information of the first participant and the second participant,
When extracting the first participant corresponding to the basic search condition from the basic information of the first participant stored in the storage unit,
A pattern of change in the constitution information of the second participant is calculated from the history information, a pattern of change in the constitution information of the first participant is calculated from the history information,
Of the basic information of the first participant, the basic search condition is met, and the change pattern of the constitution information of the first participant is the change pattern of the constitution information of the second participant. A lifestyle improvement support system characterized by extracting matching first participants. The lifestyle improvement support system according to claim 2,
The lifestyle improvement support system, wherein the second participant is a candidate who has not participated in the health guidance. The lifestyle improvement support system according to claim 1,
A search condition for the constitution of the second participant when the first similarity index and the second similarity index with the second participant are output to the interface for the extracted first participant. And a lifestyle improvement support system that outputs a relative positional relationship between a life search condition and the first similarity index and the second similarity index to the interface. The lifestyle improvement support system according to claim 1,
The history of the extracted first participant when outputting the first similarity index and the second similarity index with the second participant for the extracted first participant to the interface A lifestyle habit improvement support system characterized in that information is acquired from the storage unit and the history information is output to the interface. The lifestyle improvement support system according to claim 1,
The first similarity index includes a disagreement between the second participant constitution constitution search condition and the extracted first participant constitution information,
The lifestyle improvement support system, wherein the second similarity index includes a degree of inconsistency between the search condition for the life of the second participant and the extracted life information of the first participant. The lifestyle improvement support system according to claim 1,
The constitution information of the first participant includes a test value of the first participant,
The constitution information of the second participant includes a test value of the second participant,
When calculating the constitutional information of the extracted first participant and the similarity between the constitutional search conditions as a first similarity index,
The first participant's test value is converted into a first abnormality index according to a preset criterion, the second participant's test value is converted into a second abnormality index according to a preset criterion, and the first A lifestyle improvement support system characterized in that a result of comparing one abnormality index and a second abnormality index with a preset criterion is calculated as the first similarity index. The lifestyle improvement support system according to claim 1,
The constitution information on the constitution of the first participant includes a first medication status of the first participant,
The constitution information on the constitution of the second participant includes a second medication situation of the second participant,
When extracting the first participant corresponding to the basic search condition from the basic information of the first participant stored in the storage unit,
A lifestyle improvement support system, wherein a first participant having the first medication status that matches the second medication status of the second participant is extracted. A processor that performs arithmetic processing, a storage unit that is readable and writable by the processor, and an interface connected to the processor, the storage unit including the age and gender of the first participant who participated in health guidance A computer in which basic information, constitution information about the constitution of the first participant, life information about the living environment and lifestyle of the first participant, and history information of the first participant are stored in advance A lifestyle improvement support method for supporting health guidance of a second participant in a lifestyle improvement support system,
The computer receives basic information including the age and sex of the second participant, constitution information about the constitution of the second participant, and living information about the living environment and lifestyle of the second participant Steps,
The computer generates a basic search condition from the basic information, sets the constitution information as a constitution retrieval condition, and sets the life information as a life retrieval condition;
The computer extracting a first participant corresponding to the basic search condition from the basic information of the first participant stored in the storage unit;
The calculator calculates the constitution information of the extracted first participant and the similarity of the constitution search condition as a first similarity index;
The computer calculates the extracted life information of the first participant and the similarity of the search condition of the life as a second similarity index;
The computer outputting the first similarity index and the second similarity index with the second participant for the extracted first participant to the interface;
A lifestyle improvement support method characterized by including: A processor that performs arithmetic processing, a storage unit that is readable and writable by the processor, and an interface connected to the processor, the storage unit including the age and gender of the first participant who participated in health guidance Control a computer in which basic information, constitution information relating to the constitution of the first participant, living information relating to the living environment and lifestyle of the first participant, and history information of the first participant are stored in advance. A program,
Receiving basic information including age and sex of the second participant, constitution information about the constitution of the second participant, and living information about the living environment and lifestyle of the second participant;
Generating basic search conditions from the basic information, setting the constitution information as a constitution search condition, and setting the life information as a life search condition;
A procedure for extracting the first participant corresponding to the basic search condition from the basic information of the first participant stored in the storage unit;
Calculating the constitution information of the extracted first participant and the similarity of the constitution condition search condition as a first similarity index;
A procedure for calculating the extracted life information of the first participant and the similarity of the search condition of the life as a second similarity index;
Outputting the first similarity index and the second similarity index of the extracted first participant with the second participant to the interface;
Is executed by the computer.

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