JP2011128851A - Device, method and program for supporting lifestyle habit improvement - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a lifestyle habit improvement support device, etc., for comprehensively evaluating efforts for lifestyle habit improvement. <P>SOLUTION: The lifestyle habit improvement support device 1 includes storing parts 21 and 22 for storing target values of a plurality of evaluation items, a determination value and comment corresponding to a difference between real data actually obtained about the plurality of evaluation items and the target values, and control parts 11 and 21 for calculating a difference between the target values and the obtained real data in each evaluation item, and obtaining a determination value and comment corresponding to the calculated difference in each evaluation item each day. Further, the control parts 11 and 21 reflect weight in each evaluation item to the difference, and obtain a determination value and comment for integrating the plurality of evaluation items. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a lifestyle improvement support device, a lifestyle improvement support method, and a lifestyle improvement support program.

For the purpose of disease prevention and treatment, health guidance is provided by public health nurses to improve the lifestyle habits of the subjects such as eating habits and exercise habits. A system that proposes specific lifestyle improvement menus and evaluates the effect of improvement in order to support health guidance and allow the instructor to voluntarily improve their lifestyle, including systems on the Web Has been proposed.
For example, the invention of Patent Document 1 not only simply evaluates the weight loss effect, but also evaluates how much the lifestyle habits have actually been improved. Then, by indexing the weight loss effect, it is judged whether it is not possible to reduce the weight even though the lifestyle is improved, or it is impossible to reduce the weight because the lifestyle has been improved, and this is reflected in the weight loss guidance.

JP 2008-33909 A (paragraph 0009)

  However, the improvement effect of weight and other biological indicators that determine disease prevention, such as cholesterol levels, are greatly affected by the physical structure of the instructor, and even if the lifestyle is continuously improved, There is a big difference between those who are not effective and those who are effective in the short term. Therefore, in the invention of Patent Document 1, there has been a problem in that efforts to improve lifestyle habits cannot always be evaluated according to the actual situation.

  SUMMARY OF THE INVENTION An object of the present invention is to provide a lifestyle improvement support apparatus that evaluates lifestyle improvement efforts in a complex manner.

  The lifestyle improvement support apparatus of the present invention stores a target value of a plurality of evaluation items and a determination value and a comment corresponding to a difference between the actual data actually acquired for the plurality of evaluation items and the target value. And a control unit that calculates a difference between the target value for the acquired actual data for each evaluation item and acquires a determination value and a comment corresponding to the calculated difference for each evaluation item and for each day. And Further, the control unit is characterized in that a weight for each evaluation item is reflected on the difference, and a determination value and a comment that integrate a plurality of evaluation items are acquired.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to provide the lifestyle improvement assistance apparatus etc. which evaluate the effort of lifestyle improvement compositely.

It is a block diagram of the lifestyle improvement assistance apparatus which concerns on this embodiment. It is a block diagram of the input terminal device and portable terminal device which concern on this embodiment. It is a figure which shows an example of the external appearance of the input terminal device which concerns on this embodiment. (A) is a figure which shows an example of the portable terminal device data management database which concerns on this embodiment. (B) is a figure which shows an example of the authentication information database which concerns on this embodiment. (C) is a figure which shows an example of the target information database in this embodiment. (A) is a figure which shows an example of the weighting information database which concerns on this embodiment. (B) is a figure which shows an example of the real data database which concerns on this embodiment. (A) is a figure which shows an example of the time determination reference | standard database which concerns on this embodiment. (B) is a figure which shows an example of the triple meal intake criteria database which concerns on this embodiment. (C) is a figure which shows an example of the content determination criteria database of the dinner which concerns on this embodiment. (A) is a figure which shows an example of the quantity determination reference | standard database of the dinner which concerns on this embodiment. (B) is a figure which shows an example of the momentum determination reference | standard database which concerns on this embodiment. (C) is a figure which shows an example of the conscious exercise | movement determination reference | standard database which concerns on this embodiment. It is a figure which shows an example of the daily data management database which concerns on this embodiment. (A) is a figure which shows an example of the daily data totalization database which concerns on this embodiment. (B) is a figure which shows an example of the score calculation reference | standard database which concerns on this embodiment. (A) is a figure which shows an example of the score determination and comment production | generation reference | standard database concerning this embodiment. (B) is a figure which shows an example of the weekly data management database which concerns on this embodiment. (C) is a figure which shows an example of the dispersion | variation management database which concerns on this embodiment. (A) is a figure which shows an example of the continuous days comment database which concerns on this embodiment. (B) is a figure which shows an example of the dispersion | variation determination / comment generation reference | standard database of the total score which concerns on this embodiment. (C) is a figure which shows an example of the dispersion | variation determination / comment generation reference | standard database of the difference in the previous day which concerns on this embodiment. It is a figure which shows an example of the monthly data management database which concerns on this embodiment. It is a flowchart of the authentication and actual data registration processing procedure according to the present embodiment. It is a flowchart of the daily data registration process procedure which concerns on this embodiment. It is a flowchart of the daily result display processing procedure which concerns on this embodiment. It is a flowchart of the daily comment display processing procedure which concerns on this embodiment. It is a flowchart of a weekly result and comment display processing procedure concerning this embodiment. It is a flowchart of the monthly result and comment display processing procedure which concerns on this embodiment. It is a figure which shows an example of the authentication screen and message which concern on this embodiment. It is a figure which shows an example of the input screen which concerns on this embodiment. It is a figure which shows an example of the daily result display screen which concerns on this embodiment. It is a figure which shows an example of the daily comment display screen which concerns on this embodiment. It is a figure which shows an example of the weekly result and comment display screen which concern on this embodiment. It is a figure which shows an example of the monthly result and comment display screen which concern on this embodiment. It is a figure which shows an example of the important target item registration screen which concerns on this embodiment.

  Hereinafter, a mode for carrying out the present invention (referred to as “the present embodiment”) will be described in detail with reference to the drawings.

(Lifestyle improvement support device)
The lifestyle improvement assistance apparatus 1 is demonstrated along FIG.
The lifestyle improvement support device 1 can be connected to the input terminal device 2 via the network 4. The mobile terminal device 3 can be connected to the input terminal device 2.
The lifestyle improvement support apparatus 1 includes a Web / AP (application) server 5 and a DB (database) server 6.
The Web / AP server 5 is a general computer and includes a main storage device 11, an auxiliary storage device 12, an input device 13, an output device 14, a central control device 15, and a communication device 16. These are connected to each other by a bus.

  The web management unit 51, the user authentication unit 52, the data acquisition unit 53, the determination unit 54, the data registration unit 55, and the result display unit 56 are programs. Thereafter, when the subject is described as “XX section”, the central controller 15 reads out each program from the auxiliary storage device 12 and loads it into the main storage device 11, and then the function of each program (detailed later). Shall be realized.

  The DB server 6 is also a general computer, and includes a main storage device 21, an auxiliary storage device 22, an input device 23, an output device 24, a central control device 25, and a communication device 26. These are connected to each other by a bus.

  The auxiliary storage device 22 includes an authentication information database 71, a target information database 72, a weighting information database 73, an actual data database 74, a time determination criterion database 75, a three meal intake determination criterion database 76, a dinner content determination criterion database 77, a dinner Amount determination reference database 78, exercise amount determination reference database 79, conscious exercise determination reference database 80, daily data management database 81, daily data aggregation database 82, score calculation reference database 83, score determination / comment generation reference database 84, week Next data management database 85, variation management database 86, continuous day comment database 87, total point variation determination / comment generation reference database 88, previous day difference variation determination / comment generation reference database Scan 89 and monthly data management database 90 stores (details below). In FIG. 1, these are collectively described as “various databases 71 to 90”.

  The DB management unit 57 is a program. In the following description, when the “data acquisition unit 53” or “data registration unit 55” of the Web / AP server 5 describes that the various databases 71 to 90 of the DB server 6 are acquired or registered, In response, the central control device 25 of the DB server 6 reads out the DB management unit 57 from the auxiliary storage device 22, loads it into the main storage device 21, and acquires or registers the data of the various databases 71 to 90. .

The lifestyle improvement support device 1 accepts that the health instructor performs presetting of various databases through the input device 13, and the instructor inputs the wake-up time and the like through the input terminal device 2. And provide health guidance to the instructor (details below). The health leader is typically a health insurance association employee, a doctor, a dietitian, or the like.
In FIG. 1, the lifestyle improvement support device 1 is configured by being divided into a Web / AP server 5 and a DB server 6. However, both may be one server. Further, the Web / AP server 5 and the DB server 6 are connected via the network 4, but it is only necessary to ensure communication between the two, for example, directly on a dedicated line (not shown). It may be connected.

(Input terminal device, portable terminal device)
The input terminal device 2 and the mobile terminal device 3 will be described with reference to FIGS.
The input terminal device 2 is a terminal device operated by a trainee who receives health guidance, and there are one or more input terminal devices. The mobile terminal device 3 is a terminal device that can be easily carried by the trainee, and there are one or more mobile terminal devices. The instructor inputs the wake-up time and the like to the mobile terminal device 3 on a daily basis, connects the mobile terminal device 3 to the input terminal device 2, and transmits the data such as the wake-up time to the lifestyle improvement device 1. To do. Further, the trainee receives health guidance via the input terminal device 2.

The input terminal device 2 is also a general computer and includes a main storage device 31, an auxiliary storage device 32, an input device 33, an output device 34, a central control device 35, a communication device 36, and a portable terminal interface (IF) 37. . These are connected to each other by a bus.
The web browser 58 is a program for viewing a screen or the like transmitted from the web / AP server 5.
The portable terminal interface (IF) 37 is paired with an input terminal interface (IF) 46 of the portable terminal device 3 to be described later, and ensures communication between the input terminal device 2 and the portable terminal device 3. For example, both are connected by a USB (universal serial bus) system.

The portable terminal device 3 is also a general portable computer, and includes a main storage device 41, an auxiliary storage device 42, an input device 43, an output device 44, a central control device 45, and an input terminal interface (IF) 46. These are connected to each other by a bus.
The auxiliary storage device 42 stores a mobile terminal device data management database 91 (detailed later).
The clock function 59 is a part of the main storage device 41 and generates the current time (year / month / day / hour / minute / second). The exercise amount management function 60 is also a part of the main memory device 41. While the instructor wears the portable terminal device 3, the exercise amount management function 60 detects the instructor's periodic exercise by a known technique, and the exercise is performed. (For example, it becomes a “pedometer (registered trademark)” that acquires the cumulative number of steps per day). The time management unit 61 is a program, and acquires from the clock function 59 the time when the instructed person performs a predetermined operation on the mobile terminal device 3.

  FIG. 3 is a diagram illustrating an appearance of the mobile terminal device 3. The mobile terminal device 3 has a display (output device 44) in the upper front portion. The display displays the current time (monthly date and time) and the cumulative number of steps of the instructor on that day. The portable terminal device 3 includes an input device 43 having a plurality of buttons at the lower front portion. The plurality of buttons include a wake-up button 92, a bedtime button 93, a breakfast button 94, and a dinner button 95. For example, when the instructor depresses the wake-up button when waking up, the time management unit 61 acquires the current time (hours and minutes) from the clock function 59, and the mobile terminal device data management database 91 (FIG. 4A) displays “ It is stored in association with “wake-up time”. The same applies to the bedtime button 93, the breakfast button 94, and the dinner button 95. The breakfast button 94 and the dinner button 95 are pressed when the instructor starts breakfast and dinner, respectively.

(Mobile terminal device data management database)
The portable terminal device data management database 91 will be described with reference to FIG.
In the mobile terminal device data management database 91, the time is stored in the time column 102 in association with the evaluation item stored in the item column 101. In FIG. 4A, the same “XX: XX” is described in each row, but it does not mean that the same numerical value is stored, and each has a different numerical value (FIG. 4C and FIG. 4). The same applies to FIG. 5B).
The evaluation items in the item column 101 are a plurality of themes (evaluation items) on which the instructor is evaluated. Here, “wake-up time”, “sleeping time”, “breakfast time”, and “dinner time” are stored. These correspond to the wake-up button 92, the bedtime button 93, the breakfast button 94, and the dinner button 95 of FIG.
The time in the time column 102 is the hour and minute when the corresponding button is pressed.

(Authentication information database)
The authentication information database 71 will be described with reference to FIG.
In the authentication information database 71, a password is stored in the password column 112 in association with the user ID stored in the user ID column 111.
The user ID in the user ID column 111 is an identifier that uniquely identifies the instructor.
The password in the password field 112 is a character, number, symbol, or a combination thereof for personal authentication set by the instructor.

(Target information database)
The target information database 72 will be described with reference to FIG.
In the target information database 72, a target is stored in the target column 122 in association with the evaluation item stored in the item column 121.

The evaluation items in the item column 121 are the same as the evaluation items in FIG. Here, in addition to the evaluation items in FIG. 4A, “sleep time” and “time from dinner to bedtime” are stored. The “sleep time” is a time obtained by subtracting the time obtained by subtracting the wake-up time from the bedtime of the day from 24:00. Of course, the elapsed time from the bedtime of the previous day to the wake-up time of the day may be “sleep time”. In this case, it is assumed that the mobile terminal device 3 stores the bedtime of the previous day.
“Time from dinner to bedtime” is a time obtained by subtracting dinner time from bedtime.
The target in the target column 122 is the time or time (hour and minute) that should be the target. The targets corresponding to the evaluation items “wake-up time”, “sleeping time”, “breakfast time”, and “dinner time” among the targets are normally set after consultation with the instructor by the health instructor. The “sleep time” and “time from dinner to bedtime” are calculated by the DB management unit 57.

(Weighting information database)
The weighting information database 73 will be described with reference to FIG.
In the weighting information database 73, an evaluation item is stored in the item column 132 and a weight is stored in the weight column 133 in association with the category stored in the category column 131.
The category of the category column 131 is a superordinate concept of the evaluation items, and a plurality of evaluation items belong to one category. Here, there are three categories: “wake up / sleep”, “meal” and “exercise”.
The evaluation items in the item column 132 are the same as the evaluation items in FIG. Here, in addition to the evaluation items shown in FIG. 4 (c), “regular intake of three meals”, “content of dinner”, “amount of dinner”, “amount of exercise”, and “presence / absence of conscious exercise” are stored. Yes (details below).
The weight column 133 weight is a number to be multiplied to a raw point (detailed later). “3” means that “3” is multiplied by the prime point. In the example of FIG. 5A, the sum of all weights is “20”. This is because the sum of the products of the maximum value “5” of the prime points and the weight is set to be “100”, and of course, other setting examples may be used.

(Actual data database)
The actual data database 74 will be described with reference to FIG.
In the actual data database 74, in association with the categories stored in the category column 141, the item column 142 contains evaluation items, the columns 143, 144,. It is remembered.
The section column 141 and the item column 142 are as described in the description of FIG.
In the daily actual data in the columns 143, 144,..., One record (column) corresponds to data for one day. In the rows corresponding to the evaluation items “wake-up time”, “sleeping time”, “sleeping time”, “breakfast time”, “dinner time”, “time from dinner to bedtime” and “exercise amount”, the mobile terminal device 3 The data (time, number of steps) transmitted from and the data (time) calculated based on the data are stored. In the rows corresponding to the evaluation items “regular intake of three meals”, “content of dinner”, “amount of dinner” and “presence / absence of conscious exercise”, the instructor uses the input device 33 of the input terminal device 2. The character string selected and input is stored (details will be described later).

(Time criteria database)
The time determination reference database 75 will be described with reference to FIG.
In the time determination reference database 75, a raw score is stored in the raw score column 152 in association with the difference stored in the actual difference column 151.

The difference in the actual difference column 151 is the time of the daily actual data (columns 143, 144,... In FIG. 5B) from the time (or time) of the target (column 122 in FIG. 4C). It shows the range in which the absolute value of the value obtained by subtracting (or time) is included step by step. The difference is acquired for each of the evaluation items “wake-up time”, “sleeping time”, “sleeping time”, “breakfast time”, “dinner time”, and “time from dinner to bedtime”.
The raw score in the raw score column 152 is a numerical value indicating the evaluation of the instructor's efforts, and the higher the raw score value, the higher the evaluation. Here, the smaller the difference is (the closer the result is to the target), the larger the raw point. The health leader can arbitrarily set the difference and the raw point.

(3 food intake criteria database)
The triple meal intake criteria database 76 will be described with reference to FIG.
In the triple meal intake criteria database 76, raw points are stored in the raw score column 162 in association with the triple meal intake status stored in the triple meal intake status column 161.
The three meal intake status in the three meal intake status column 161 is a character string that briefly describes the meal pattern of the instructor for the day.
Character strings of “no breakfast, late dinner”, “no breakfast, other appropriate time”,..., “Appropriate time for all three meals” are displayed on the output device 34 of the input terminal device 2 and are instructed. The person looks back on the day and selects and inputs the character string closest to the meal pattern of the day with the input device 33 such as a mouse.
The raw points in the raw point column 162 are the same as the raw points in FIG. Here, the raw point is smaller as the pattern is closer to the pattern of omitting breakfast and taking dinner at a later time. The health instructor can arbitrarily set the intake of three meals and the raw score.

(Dinner content criteria database)
The dinner determination criteria database 77 will be described with reference to FIG.
In the dinner content determination reference database 77, the raw score is stored in the raw score column 172 in association with the content of the dinner stored in the dinner content column 171.
The content of dinner in the dinner content column 171 is a character string describing a typical meal menu.
Character strings “Yakiniku”, “Ramen”,..., “Salad center” are displayed on the output device 34 of the input terminal device 2, and the instructor mouses the character string closest to the dinner menu of the day. The input device 33 is used for selection input.
The raw points in the raw point column 172 are the same as the raw points in FIG. Here, the raw point is smaller as the menu is generally said to have higher cholesterol levels. The health leader can arbitrarily set the contents and raw points of the dinner.

(Dinner quantity criteria database)
The dinner quantity criterion database 78 will be described with reference to FIG.
In the dinner amount determination criterion database 78, raw points are stored in the raw point column 182 in association with the amount of dinner stored in the dinner amount column 181.
The amount of dinner in the dinner amount column 181 is a character string describing the amount of meals in stages.
Character strings of “large”, “more”,..., “Less” are displayed on the output device 34 of the input terminal device 2, and the instructor mouses the character string closest to the amount of dinner on that day. The input device 33 is used for selection input.
The raw points in the raw point column 182 are the same as the raw points in FIG. Here, the higher the amount of meal, the smaller the raw score. The health leader can arbitrarily set the amount and raw score of the dinner.

(Momentum criteria database)
The exercise amount determination reference database 79 will be described with reference to FIG.
In the exercise amount determination reference database 79, raw points are stored in the raw point column 192 in association with the number of steps stored in the exercise amount (step number) column 191.
The number of steps in the amount of exercise (number of steps) column 191 indicates stepwise the range of the number of steps including the daily accumulated number of steps acquired by the exercise amount management function 60 of the mobile terminal device 3.
The raw points in the raw point column 182 are the same as the raw points in FIG. Here, the larger the number of steps, the larger the raw point. The health leader can arbitrarily set the number of steps and the raw score.

(Conscious Exercise Judgment Criteria Database)
The conscious movement determination criterion database 80 will be described with reference to FIG.
In the conscious movement determination criterion database 80, raw points are stored in the raw point column 202 in association with the conscious movements stored in the conscious movement column 201.
The conscious exercise in the conscious exercise column 201 is a character string describing a typical exercise example other than simply walking (including “none” describing that there is no such exercise).
The character strings “None”, “Do not sit on the train, do not use the backrest”,..., “Go to the gym, jogging, etc.” are displayed on the output device 34 of the input terminal device 2. The character string closest to the exercise other than walking on that day is selected and input by the input device 33 such as a mouse.
The raw points in the raw point column 202 are the same as the raw points in FIG. Here, the higher the conscious movement that seems to consume more calories, the greater the raw score. The health leader can arbitrarily set conscious movement and raw points.

(Daily data management database)
The daily data management database 81 will be described with reference to FIG.
In the daily data management database 81, in relation to the category stored in the category column 211, the item field 212 contains evaluation items, and the columns 213, 214,. Data is stored.
The classification column 211 and the item column 212 are as described in the description of FIG.
In the daily raw score data in the columns 213, 214,..., One record (column) corresponds to one day's worth of data. The value of each line is obtained from each determination criterion database 75 to 75 acquired based on data (time, time, number of steps, or character string) in daily actual data (columns 143, 144,... In FIG. 5B). There are 80 prime points.

(Daily data aggregation database)
The daily data total database 82 will be described with reference to FIG.
In the daily data totaling database 82, the evaluation items are stored in the item column 222, the perfect score in the full score field 223, and the weighted score in the weighted score field 224 in association with the category stored in the category field 221. Is remembered.
The section column 221 is as described in the description of FIG.
The item column 222 is also generally as described in the description of FIG. 5A, but here, for each category, a row for storing the sum (subtotal) of the values of evaluation items belonging to the category “Wake up / sleep” Subtotals, “subtotals for meals” and “subtotals for exercise” and a row “total” for storing the sum of all these subtotals are added.
The perfect score in the perfect score column 223 is a product obtained by multiplying the maximum value of the prime points in each of the judgment reference databases 75 to 80 by the weight of the weighting information database 73 (FIG. 5A).
The weighted raw score in the weighted raw score column 224 is a product obtained by multiplying the raw score (columns 213, 214,... In FIG. 8) by the weight of the weighting information database 73 (FIG. 5A). is there.

For example, when focusing on the first line in FIG. 9A, “15” is stored in the full score column 223. This “15” is a product obtained by multiplying the prime point “5” in the fifth row in FIG. 6A by “3” in the first row in FIG. Also, “12” is stored in the post-weighting raw score column 224. This “12” is a product obtained by multiplying “4” in the first row in FIG. 8 by “3” in the first row in FIG.
Further, when attention is paid to the third line from the bottom in FIG. 9A, “10” is stored in the full score column 223. This “10” is a product obtained by multiplying the prime point “5” in the fifth row in FIG. 7C by “2” in the first row from the bottom in FIG. Further, “10” is stored in the post-weighting raw score column 224. This “10” is a product obtained by multiplying “5” in the first row from the bottom of FIG. 8 by “2” in the first row from the bottom of FIG.

(Score calculation database)
The score calculation reference database 83 will be described with reference to FIG.
In the score calculation reference database 83, scores are stored in the score column 232 in association with the weighted score / full score stored in the weighted score / full score column 231.
The weighted raw score / full score in the weighted raw score / full score field 231 includes a numerical value (%) obtained by dividing the weighted raw score in FIG. 9A by the perfect score in FIG. 9A and multiplying by 100. This is a step-by-step illustration.
The score in the score column 232 is a numerical value indicating the evaluation for the weighted raw score / full score. Here, the higher the numerical value (%) obtained by dividing the weighted raw score by the perfect score and multiplying by 100, the larger the score. The health instructor can arbitrarily set the raw / full score and the score after weighting.

(Scoring / comment generation database)
The score determination / comment generation reference database 84 will be described with reference to FIG.
In the score determination / comment generation reference database 84, a determination is stored in the determination column 242 and a comment is stored in the comment column 243 in association with the score stored in the score column 241.
The score in the score column 241 indicates the range including the score in FIG. 9B in a stepwise manner.
The determination in the determination column 242 is a character indicating the determination result for the score, and here is “A” to “E”. The determinations “A”, “B”, “C”,... Correspond in descending order.
The comment in the comment field 243 is a message addressed to the instructor. The health instructor can arbitrarily set the score, judgment and comment.

(Weekly data management database)
The weekly data management database 85 will be described with reference to FIG.
In the weekly data management database 85, the daily score data with the month and day as headlines is stored in the columns 252 to 255 in association with the weekly evaluation items stored in the item column 251.
The weekly evaluation items “wake-up / sleep”, “meal”, and “exercise” in rows 551 to 553 correspond to the categories in FIG. In rows 551 to 553, scores are stored. The score is calculated by dividing the weighted raw score by the full score and multiplying by 100 for each “subtotal” row of the daily data totaling database 82 (FIG. 9A), and the score calculation reference database 83 The score obtained by applying (FIG. 9B).

In the row 554 of the weekly evaluation item “total score”, a total score obtained by summing the scores in the rows 551 to 553 is stored.
In the row 555 of the weekly evaluation item “previous day difference”, the previous day difference obtained by subtracting the previous day's total point from the total day's total point is stored. When the day is “Monday”, “0” is stored. However, the total score for the day of the previous week may be stored, and the difference of the previous day obtained by subtracting the total score for the day of the previous week from the total score for the day of the month may be stored.

A score is stored in a row 556 of the weekly evaluation item “overall”. The score is obtained by dividing the weighted raw score by the full score and multiplying by 100 for the “total” row of the daily data totaling database 82 (FIG. 9A), and the score calculation reference database 83 ( The score obtained by applying to FIG.
A raw score is stored in the row 557 of the weekly evaluation item “priority target”. The raw score is stored in a row having items (hereinafter, sometimes referred to as “important target items”) registered in advance by the instructor every month among the evaluation items of the daily data management database 81 (FIG. 8). It is a prime point.

  In the row 558 of the weekly evaluation item “continuous days”, the continuous days are stored. The number of consecutive days is the number of days in which the raw score in the row 557 is maintained above a predetermined level. For example, the raw points in the row 557 are “(Mon) 3”, “(Tue) 3”, “(Wed) 0”, “(Thu) 2”, “(Fri) 3”, “(Sat) 2”. And “(day) 4”, and the predetermined level is “3”. In this case, the row 558 includes “(Month) 1”, “(Tue) 2”, “(Wed) 0”, “(Thu) 0”, “(Fri) 1”, “(Sat) 0”, and “(Day) 1” is stored. That is, if the prime point of the “priority target” falls below a predetermined level, “continuous days” is reset to “0”, and if it returns to a predetermined level or higher again, it starts counting again as “1”. In addition, here, for simplification, an example of completing within a certain week has been described. However, in practice, it is desirable that the “continuous number of days” be carried over even if the week and month change (it is not reset to “0” because it is Monday or one day).

(Variation management database)
The variation management database 86 will be described with reference to FIG.
In the variation management database 86, in association with the week name stored in the week column 261, the total point variation column 262 stores the total point variation, and the previous day difference variation column 263 stores the previous day difference variation. ing.
The week name in the week column 261 is a combination of letters and numbers specifying the week. For example, “January 1st week” means the first group in January in the daily score data of the weekly data management database 85 where the heading day starts with “Month” and ends with “Day”. is doing. When the month changes in the middle of the week, the month including the “Monday” day is used as a reference. For example, the week name of the week starting from January 31 (Monday) and ending on February 6 (Sunday) is “January 5th week” and not “February 1st week”.

The total score variation in the total score variation column 262 is a statistic indicating the variation of the total score (row 554 in FIG. 10B) for a certain week. As the statistic, for example, standard deviation, variance, and the like can be used (the same applies to the variation of the day difference described later).
The variation of the previous day difference in the previous day difference variation column 263 is a statistic indicating the variation of the previous day difference (row 555 in FIG. 10B) of a certain week.
For example, the variation “2.5” of the total points in the first row in FIG. 10C is “9”, “8”, “13”,..., “10” in the row 554 in FIG. ”Indicates that the standard deviation is“ 2.5 ”. The variation of the previous day difference “5.7” in the first row in FIG. 10C is “0”, “−1”, “5”,..., “−3” in the row 555 in FIG. The standard deviation of “” is “5.7”.

(Continuous days comment database)
The continuous day comment database 87 will be described with reference to FIG.
In the continuous day comment database 87, comments are stored in the comment column 272 in association with the continuous days stored in the continuous day column 271.
The continuous days in the continuous days column 271 is the type of the continuous days in FIG. 10B, and here, “0” indicating that the continuous days are “0” and the number of continuous days other than “0”. “1 or more” indicating that
The comment in the comment column 272 is a message addressed to the instructor. The health leader can arbitrarily set the continuous days and comments.

(Total score variation / comment generation standard database)
The total point variation determination / comment generation reference database 88 will be described with reference to FIG.
In the total point variation determination / comment generation reference database 88, a determination is stored in the determination column 282 and a comment is stored in the comment column 283 in association with the total point variation stored in the total point variation column 281. ing.
The total point variation in the total point variation column 281 indicates the range including the total point variation in FIG. 10C step by step.
The determination in the determination column 282 is a character indicating a determination result with respect to the variation of the total score, and is “A” to “E” here. The determinations “A”, “B”, “C”,... Correspond in ascending order of total point variation.
The comment in the comment field 283 is a message addressed to the instructor. The health instructor can arbitrarily set the total score variation, determination, and comment.

(Judgment of variation of previous day difference / comment generation standard database)
The previous day difference variation determination / comment generation reference database 89 will be described with reference to FIG.
In the previous day difference variation / comment generation reference database 89, the determination column 292 stores a determination and the comment column 293 stores a comment in association with the previous day difference variation stored in the previous day difference variation column 291. ing.
The variation of the previous day difference in the variation column 291 of the previous day shows the range including the variation of the previous day difference in FIG. 10C step by step.
The determination in the determination column 292 is a character indicating a determination result for the variation in the previous day difference, and is “A” to “E” here. The determinations “A”, “B”, “C”,... Correspond in ascending order of variation in the previous day difference.
The comment in the comment column 293 is a message addressed to the instructor. The health instructor can arbitrarily set the variation, judgment, and comment on the previous day.

(Monthly data management database)
The monthly data management database 90 will be described with reference to FIG.
In the monthly data management database 90, in association with the monthly evaluation items stored in the item column 301, in the columns 302,.
In the row 561 of the monthly evaluation item “priority target item”, the above-mentioned priority target item is stored.
A raw score is stored in a row 562 of the monthly evaluation item “priority target”. The raw point is an average value of the raw points of the month among the raw points in the row 557 of the weekly data management database 85 (FIG. 10B).

A score is stored in the row 563 of the monthly evaluation item “wake-up / sleep”. The said score is an average value of the score of the said month among the scores of the line 551 of the weekly data management database 85 (FIG.10 (b)).
The score is stored in the row 564 of the monthly evaluation item “meal”. The said score is an average value of the score of the said month among the scores of the line 552 of the weekly data management database 85 (FIG.10 (b)).
A score is stored in the row 565 of the monthly evaluation item “exercise”. The said score is an average value of the score of the said month among the scores of the line 553 of the weekly data management database 85 (FIG.10 (b)).
A score 5 is stored in a row 566 of the monthly evaluation item “overall”. The said score is an average value of the score of the said month among the scores of the line 556 of the weekly data management database 85 (FIG.10 (b)).

(User ID)
Among various databases, the target information database 72, the weighting information database 73, the actual data database 74, the daily data management database 81, the daily data aggregation database 82, the weekly data management database 85, the variation management database 86, and the monthly data management. Each of the databases 90 (first group) is stored in the auxiliary storage device 22 after being assigned a user ID for each person to be instructed.

  In addition, the time determination reference database 75, the three meal intake determination reference database 76, the dinner content determination reference database 77, the dinner amount determination reference database 78, the exercise amount determination reference database 79, the conscious exercise determination reference database 80, and the score calculation reference database. 83, the score determination / comment generation reference database 84, the continuous day comment database 87, the total point variation determination / comment generation reference database 88 and the total point variation determination / comment generation reference database 89 (second group) What is different for each instructor is preferably stored in the auxiliary storage device 22 after being given a user ID. However, a database of “models” (not shown) stored in the auxiliary storage device 22 may be used until individual specific guidance for the trainee is established.

  In the following description, it is assumed that the database of the first group and the second database are stored in the auxiliary storage device 22 after being assigned a user ID for each instructor. Further, in the following description, the Web / AP server 5 or the like can naturally acquire the various databases, even if there is no description such as “using the user ID received from the instructor as a search key” when acquiring, searching, and matching. In addition, a database unique to the instructor is acquired based on the user ID.

(Processing procedure)
The processing procedure includes (1) authentication and actual data registration processing procedure, (2) daily data registration processing procedure, (3) daily result display processing procedure, (4) daily comment display processing procedure, and (5) week. There are next result and comment display processing procedures and (6) monthly result and comment display processing procedures.
These processing procedures are executed every day in the order of (1) → (2) → (3) → (4).
(1), (2), (3), and (4) are usually executed immediately after the instructed person goes to bed after the instructed person presses the bedtime button 93.
After (4) is completed, (5) or (6) is executed by the selection of the instructor. The execution of (5) or (6) is based on the premise that at least one week of data or one month of data has been acquired.

  Prior to the execution of (1), the authentication information database 71, the target information database 72, the weighting database 73, the time determination criterion database 75, the three meal intake determination criterion database 76, the dinner content determination criterion database 77, and the amount of dinner. Judgment reference database 78, exercise amount determination reference database 79, conscious exercise determination reference database 80, score calculation reference database 83, score determination / comment generation reference database 84, continuous days comment database 87, total score variation determination / comment generation reference database 88 and the previous day difference variation determination / comment generation reference database 89 is completed.

Regarding the daily data totaling database 82, it is assumed that only the weighted raw score column 224 is blank prior to the execution of (1).
Further, prior to the execution of (1), the Web / AP server 5 creates an important target item registration screen (FIG. 25) and displays it on the output device 34 of the input terminal device 2. Then, by accepting that the instructor selects any one of the buttons 383 to 393 and presses the “Register” button 394, the “priority target item” is stored in the auxiliary storage device 12. .

(Authentication and actual data registration procedure)
The authentication and actual data registration processing procedure will be described with reference to FIG.
In step S401, the web management unit 51 of the web / AP server 5 accepts a connection request.
Specifically, when the web browser 58 of the input terminal device 2 accepts that the URL of the web / AP server 5 is specified and makes a connection request, the web management unit 51 performs a connection process.

In step S <b> 402, the user authentication unit 52 of the Web / AP server 5 transmits an authentication screen 311.
Specifically, the user authentication unit 52 first generates an authentication screen 311 (FIG. 19) and transmits it to the input terminal device 2. The web browser 58 of the input terminal device 2 displays the received authentication screen 311 on the output device 34.
Second, the user authentication unit 52 receives the user ID and password when the instructor inputs the user ID and password on the authentication screen 311 and presses the authentication button 314.

In step S <b> 403, the data acquisition unit 53 of the Web / AP server 5 searches the authentication information database 71.
Specifically, the data acquisition unit 53 first searches the authentication information database 71 (FIG. 4B) using the user ID accepted in step S402 as a search key, and acquires the corresponding record.

In step S404, the user authentication unit 52 determines whether or not the authentication is successful.
Specifically, the user authentication unit 52 proceeds to step S405 when the password of the record acquired in step S403 matches the password accepted in step S402 (step S404 “YES”). In other cases (step S404 “NO”), the process returns to step S402.
In step S402 after passing through “NO” in step S404, a message 312 (FIG. 19) urging re-input of the user ID and password is transmitted to the input terminal device 2, and the web browser 58 of the input terminal device 2 The message 312 is displayed on the output device 34.

In step S405, the data acquisition unit 53 transmits the input screen 321.
Specifically, the data acquisition unit 53 first generates an input screen 321 (FIG. 20) and transmits it to the input terminal device 2. The web browser 58 of the input terminal device 2 displays the input screen 321 on the output device 34.
The input screen 321 includes a title 335 including a user ID and the current month and date, input fields 322 to 332 for each evaluation item, a “data acquisition” button 333 and a “registration” button 334.
At this stage, the input fields 322 to 332 are blank.

In step S406, the data acquisition unit 53 receives an actual data acquisition request.
Specifically, the data acquisition unit 53 accepts that the instructor presses the “data acquisition” button 333 on the input screen 321.

In step S407, the data acquisition unit 53 determines whether or not the mobile terminal device 3 is connected.
Specifically, the data acquisition unit 53 confirms the connection between the input terminal device 2 and the mobile terminal device 3, and if connected (step S407 “YES”), the process proceeds to step S408. In other cases (step S407 “NO”), the process proceeds to step S409.

In step S408, the data acquisition unit 53 acquires data such as a wake-up time.
Specifically, the data acquisition unit 53 holds all combinations of evaluation items and times stored in the mobile terminal device data management database 91 (FIG. 4A) and the mobile terminal device 3. The amount of exercise (number of steps) is acquired and temporarily stored in the main storage device 11.

In step S409, the data acquisition unit 53 transmits a connection request.
Specifically, the data acquisition unit 53 transmits a message (not shown) that prompts a connection between the input terminal device 2 and the mobile terminal device 3 to the input terminal device 2. Thereafter, the process returns to step S407.

In step S410, the data acquisition unit 53 displays the acquired data.
Specifically, the data acquisition unit 53 first displays all combinations of the evaluation item and time acquired in step S <b> 408 in each input field of the input screen 321.
At this stage, in the columns 322 to 325 and 328 of the input screen 321, the data such as the wake-up time and the amount of exercise (number of steps) acquired in step S408 are displayed.
Secondly, the sleep time is calculated based on the bedtime and the wake-up time acquired in step S <b> 408 and displayed in the column 326 of the input screen 321.
Third, the time from dinner to bedtime is calculated based on the dinner time and bedtime acquired in step S408 and displayed in the column 327 of the input screen 321.
At this stage, the input screen 321 is in a state where only the columns 329 to 332 are blank, and these columns 329 to 332 are highlighted to prompt the instructor to input.

In step S411, the data acquisition unit 53 additionally acquires data.
Specifically, the data acquisition unit 53 first displays an option when the instructor selects any of the columns 329 to 332 with the input device 33 such as a mouse. For example, when the column 330 about the contents of dinner is selected, another window is opened, and the contents of the dinner “judging meat”, “ramen”, “soba,” in the dinner content determination standard database 77 (FIG. 6C) are opened. Display "snack", "fish" and "salad center".
Second, it accepts that the instructor selects one of the options, and displays the selected option in the selected field.
The “first” and “second” processes are performed for all of the columns 329 to 332.
Thirdly, it may be accepted that the instructor manually overwrites and corrects the data displayed in any of the columns 322 to 332.
Fourth, it accepts that the instructor presses the “Register” button 334.

In step S412, the data registration unit 55 of the Web / AP server 5 confirms data consistency.
Specifically, the data registration unit 55 confirms that data has been input to all the fields 322 to 332 of the input screen 321 and that the values cannot be processed as input values. When a certain column is blank or a value that is not actually possible (for example, a corrected input value “25:70” for time) is input, the column is highlighted to prompt re-input.

In step S 413, the data registration unit 55 registers in the actual data database 74.
Specifically, the data registration unit 55 creates a new column of the actual data database 74 (FIG. 5B), stores the current date in the column header, and fields 322 to 323 of the input screen 321. Is stored in the corresponding row of the newly created column.
Thereafter, the authentication and actual data registration processing procedure ends.

(Daily data registration process)
The daily data registration processing procedure will be described with reference to FIG.
In step S421, the data acquisition unit 53 of the Web / AP server 5 accepts a daily data registration request.
At the same time when the final step of the authentication and actual data registration processing procedure is completed, the data registration unit 55 of the Web / AP server 5 generates a daily data registration request, and the data acquisition unit 53 accepts the request. The daily data registration processing procedure is started. Therefore, it seems to the instructor that the authentication and actual data registration processing procedure and the daily data registration processing procedure are continuously executed. However, the request for starting the daily data registration processing procedure may be received from the input terminal device 2.

In step S422, the data acquisition unit 53 acquires a record of the actual data database 74.
Specifically, the data acquisition unit 53 searches the actual data database 74 (FIG. 5B) using the current date as a search key, and acquires the corresponding record (column).

In step S423, the determination unit 54 of the Web / AP server 5 acquires a raw score of a time-related evaluation item.
The evaluation items related to time are “wake-up time”, “sleeping time”, “sleeping time”, “breakfast time”, “dinner time”, and “time from dinner to bedtime”.
Specifically, the determination unit 54 first acquires the data value stored in the “wake-up time” row of the column acquired in step S422.
Second, a target corresponding to the evaluation item “wake-up time” in the target information database 72 (FIG. 4C) is acquired.
Third, an absolute value of a value obtained by subtracting the data value acquired in “first” from the target acquired in “second” is calculated.
Fourth, the difference between the time determination reference database 75 (FIG. 6A) and the absolute value calculated in “third” are matched to obtain a corresponding raw point.
The process of step S423 is repeated for all remaining time-related evaluation items.

In step S424, the determination unit 54 acquires raw points of other evaluation items.
Other evaluation items are “regular intake of three meals”, “contents of dinner”, “amount of dinner”, “exercise amount”, and “presence of conscious exercise”.
Specifically, the determination unit 54 first acquires the data stored in the “regular three meal intake” row of the column acquired in step S422.
Second, the three meal intake status database 76 (FIG. 6B) matches the three meal intake status with the data acquired in “first”, and the corresponding raw points are acquired.
The process of step S424 is repeated for all remaining evaluation items. However, the database that should be matched when acquiring the raw score differs depending on the evaluation item. The “dinner content” is the dinner content determination standard database 77 (FIG. 6C), and the “dinner amount” is the dinner. The amount determination criterion database 78 (FIG. 7A), the “exercise amount” is the exercise amount determination criterion database 79 (FIG. 7B), and the “presence / absence of conscious exercise” is the conscious exercise determination criterion. This is the database 80 (FIG. 7C).

In step S 425, the data registration unit 55 of the Web / AP server 5 registers a raw point in the daily data management database 81.
Specifically, the data registration unit 55 first creates a new record (column) in the daily data management database 81 (FIG. 8).
Secondly, the raw points acquired in step S423 and step S424 are stored in a row having a corresponding evaluation item in the created row.
Thereafter, the daily data registration processing procedure is terminated.

(Daily result display processing procedure)
The daily result display processing procedure will be described with reference to FIG.
In step S431, the data acquisition unit 53 of the Web / AP server 5 accepts a daily result display request.
At the same time as the final step of the daily data registration processing procedure is completed, the data registration unit 55 of the Web / AP server 5 generates a daily result display request, and the data acquisition unit 53 receives the request. The daily result display processing procedure is started. Therefore, it seems to the instructor that the daily data registration processing procedure and the daily result display processing procedure are continuously executed. However, the request to start the daily result display recording process procedure may be received from the input terminal device 2.

In step S <b> 432, the data acquisition unit 53 acquires a record of the daily data management database 81.
Specifically, the data acquisition unit 53 searches the daily data management database 81 (FIG. 8) using the current date as a search key, and acquires the corresponding record (column).

In step S433, the data acquisition unit 53 acquires a weight.
Specifically, the data acquisition unit 53 acquires all the weights of the weighting information database 73 (FIG. 5A).

In step S434, the data acquisition unit 53 calculates a weighted raw score.
Specifically, for each evaluation item, the data acquisition unit 53 calculates the post-weighting raw point by multiplying the raw point of the column acquired in step S432 by the weight acquired in step S433.

In step S435, the data acquisition unit 53 completes the daily data tabulation database 82.
Specifically, first, the data acquisition unit 53 acquires the daily data totaling database 82 (FIG. 9A, which is created in advance as described above) in which the weighted raw score field 224 is blank. To do.
Secondly, the weighted raw score calculated in step S434 is stored in the row of the corresponding evaluation item in the weighted raw score column 224.
Thirdly, the weighted raw score is calculated and stored for the lines of “wake-up / sleep subtotal”, “meal subtotal”, “motion subtotal”, and “total” in the post-weighted raw score column 224.

In step S436, the data acquisition unit 53 acquires a score.
Specifically, the data acquisition unit 53 first calculates a value obtained by dividing the weighted raw score of the daily data totalization database 82 (FIG. 9A) by 100 and multiplying by 100.
Secondly, the calculated value is matched with the weighted raw score / full score of the score calculation reference database 83 (FIG. 9B), and the corresponding score is acquired.
The process of step S436 is repeated for the rows of “wake-up / sleep subtotal”, “meal subtotal”, “exercise subtotal”, and “total” in the daily data tabulation database 82. Therefore, when the process of step S436 is completed, scores corresponding to the evaluation items “wake-up / sleep subtotal”, “meal subtotal”, “motor subtotal”, and “total” in the item column 222 of FIG. 9A are acquired. Will be.

In step S437, the data registration unit 55 of the Web / AP server 5 registers in the weekly data management database 85.
Specifically, the data registration unit 55 first creates a new record (column) in the weekly data management database 85 (FIG. 10B).
Second, the current date and day of the week are stored in the created column heading.
Thirdly, corresponding to “wake / sleep subtotal”, “meal subtotal”, “exercise subtotal” and “total” acquired in step 436 in rows 551, 552, 553 and 556 of the created columns The score to be memorized is memorized.

Fourth, the total score of rows 551 to 553 is stored as a total score in row 554 of the created column.
Fifth, a value obtained by subtracting the previous day's total score from the current day's total score is stored as the previous day's difference in row 555 of the created column.
Sixth, the raw points of items registered as priority target items among the raw points of the current day column of the daily data management database 81 (FIG. 8A) are stored in the row 557 of the created column. To do.
Seventh, if the raw score of the row 557 stored in the “sixth” is greater than or equal to the predetermined value, the number obtained by adding “1” to the number of consecutive days stored in the row 558 of the previous day column is Is stored in row 558 of the column. When the raw point of the row 557 stored in “sixth” is less than the predetermined value, “0” is stored in the row 558 of the column of the current day.

In step S438, the result display unit 56 of the Web / AP server 5 creates a daily result display screen 341.
Specifically, first, the result display unit 56 uses the evaluation items (excluding subtotals and totals) in the daily data aggregation database 82 (FIG. 9A) as the horizontal axis, and displays the corresponding weighted raw score. Create a line graph with a vertical axis.
Second, a bar graph with the horizontal axis representing the category (except for the total) of the daily data summary database 82 and the vertical axis representing the average value of the weighted raw points corresponding to the evaluation items belonging to the category (excluding the subtotal) create.
Thirdly, the scores of the rows 551, 552, and 553 are acquired in the current day column of the weekly data management database 85 (FIG. 10B). Then, the acquired score is matched with the score of the score determination / comment generation reference database 84 (FIG. 10A), and the corresponding determination is acquired.

Fourth, a daily result display screen 341 (FIG. 21) is created. The screen includes a line graph 343 created in “first”, a bar graph 345 created in “second”, a determination 344 (in the vicinity of the top side of the bar graph) obtained in “third”, a user ID and the current day It has a title 342 indicating the month and day, and a “to comment display screen” button 346 (detailed later).
Fourth, the daily result display screen 341 is transmitted to the input terminal device 2.
The web browser 58 of the input terminal device 2 displays a daily result display screen 341 on the output device 34.
Thereafter, the daily result display processing procedure is terminated.

(Daily comment display processing procedure)
The daily comment display processing procedure will be described with reference to FIG.
In step S441, the data acquisition unit 53 of the Web / AP server 5 accepts a daily comment display request.
Specifically, the data acquisition unit 53 accepts that the instructor presses the “go to comment display screen” button 346 on the daily result display screen 341.

In step S442, the data acquisition unit 53 acquires the score of the day.
Specifically, the data acquisition unit 53 determines the score of the row 551, the row 552, the row 553, and the row 556, the raw score of the row 557, in the column of the current day of the weekly data management database 85 (FIG. 10B). And the number of consecutive days in row 558 is obtained.

In step S443, the determination unit 54 of the Web / AP server 5 acquires a determination and a comment.
Specifically, the determination unit 54 first matches the score acquired in step S442 with the score of the score determination / comment generation reference database 84 (FIG. 10A), and acquires the corresponding determination and comment. To do.
Second, the raw score acquired in step S442 is matched with the score of the score determination / comment generation reference database 84 (FIG. 10A), and the corresponding determination is acquired.
Thirdly, the continuous days acquired in step S442 and the continuous days in the continuous day comment database 87 (FIG. 11A) are matched, and the corresponding comment is acquired. If the acquired comment is “Consecutive X days including today ...” (second line in FIG. 11B), the portion “X” is acquired in step S442. Replace with consecutive days.

In step S444, the determination unit 54 acquires an evaluation item having the highest weighted raw score.
Specifically, the determination unit 54 first acquires the weighted raw score having the largest value in the weighted raw score column 224 of the daily data totaling database 82 (FIG. 9A). At this time, the weighted raw points corresponding to “subtotal” and “total” are ignored.
Second, an evaluation item corresponding to the acquired weighted raw score is acquired.

In step S445, the determination unit 54 acquires a raw score of an evaluation item having the highest weighted raw score.
Specifically, the determination unit 54 acquires a raw point corresponding to the item acquired in “second” in step S444 in the current day column of the daily data management database 81 (FIG. 8).

In step S446, the determination unit 54 acquires the determination and comment of the evaluation item having the highest weighted raw score.
Specifically, the determination unit 54 matches the raw score acquired in step S445 with the score of the score determination / comment generation reference database 84 (FIG. 10A), and acquires the corresponding determination and comment. Then, at the beginning of the acquired comment, the evaluation item acquired in “second” in step S444 is added as “about XXX”.

In step S447, the result display unit 56 of the Web / AP server 5 creates a daily comment display screen 351 (FIG. 22).
Specifically, the result display unit 56 firstly includes columns 353 to 356, a “to weekly determination” button 357, a “to monthly determination” button 358, an end button 359, and a title indicating the user ID and date. A daily comment display screen 351 having 352 is created.
Secondly, in the column 353 and the column 354, the determination and the comment acquired in “first” in step S443 are described for each evaluation item. The determination and comment in the column 353 correspond to the row 556 (“total”) of the weekly data management database 85. The determinations and comments in the column 354 correspond to the rows 551 to 553 (“wake / sleep”, “meal”, and “exercise”) of the weekly data management database 85.
Thirdly, the column 355 describes the determination acquired in “second” in step S443 and the comment acquired in “third” in step S443. The determinations and comments in the column 355 correspond to the row 557 (“priority target”) and the row 558 (“continuous days”) of the weekly data management database 85.
Fourth, the determination and comment acquired in step S446 are described in a column 356.
Fifth, the daily comment display screen 351 is transmitted to the input terminal device 2.
The web browser 58 of the input terminal device 2 displays a daily comment display screen 351 on the output device 34.
Thereafter, the daily comment display processing procedure is terminated.

(Weekly results and comment display processing procedure)
A weekly result and comment display processing procedure will be described with reference to FIG.
In step S451, the data acquisition unit 53 of the Web / AP server 5 receives a weekly result and a comment display request.
Specifically, the data acquisition unit 53 accepts that the instructor presses the “to weekly determination” button 357 on the daily comment display screen 351.

In step S452, the data acquisition unit 53 acquires the total score and the previous day difference.
Specifically, the data acquisition unit 53 acquires the total score of the row 554 and the previous day difference of the row 555 in the column from Monday to Sunday of the previous week in the weekly data management database 85 (FIG. 10B). The total score in row 554 and the previous day difference in row 555 are each a set of seven numerical values.

In step S453, the determination unit 54 of the Web / AP server 5 calculates the total score and the variation of the previous day difference.
Specifically, the determination unit 54 calculates a standard deviation for each of the set of total points and the set of previous day differences acquired in step S452.

In step S454, the determination unit 54 stores the variation.
Specifically, the determination unit 54 creates a new record (row) of the variation management database 86 (FIG. 10C), and stores it in the week column 261, the total score variation column 262, and the previous day difference variation column 263. , Each of which stores a week name identifying the previous week, a standard deviation for the set of total points, and a standard deviation for the set of previous day differences.

In step S455, the determination unit 54 acquires a determination and comment on the variation.
Specifically, the determination unit 54 first calculates the standard deviation for the set of total points calculated in step S453 as the total of the total point variation determination / comment generation reference database 88 (FIG. 11B). Recognize the variation of the points and obtain the corresponding judgment and comment.
Secondly, the standard deviation for the set of previous day differences calculated in step S453 is matched with the fluctuation of the total points in the previous day difference variation determination / comment generation reference database 89 (FIG. 11C), and the corresponding determination and Get a comment.

In step S456, the result display unit 56 of the Web / AP server 5 creates a weekly result and comment display screen 361 (FIG. 23).
Specifically, first, the result display unit 56 uses the week name (limited to the week of the current month) of the variation management database 86 (FIG. 10C) as the horizontal axis and the variation of the corresponding total score as the vertical axis. Create a line graph.
Second, a line graph is created in which the horizontal axis is the week name (limited to the week of the current month) of the variation management database 86 (FIG. 10C) and the vertical axis is the corresponding variation in the previous day's difference.
Thirdly, a weekly result and comment display screen 361 having columns 363 and 364, an “end” button 367 and a title 362 indicating the user ID and date is created.
Fourth, in the column 363 and the column 364 of the weekly result and comment display screen 361, the determination and comment acquired in “first” in step S455, and the determination acquired in “second” in step S455, respectively. Write a comment.

Fifth, in the margin under the column 364 of the weekly result and comment display screen 361, the line graph 366 created in the “first” of the step and the line graph 365 created in the “second” of the step. Is described.
Sixth, the weekly result and comment display screen 361 is transmitted to the input terminal device 2.
The web browser 58 of the input terminal device 2 displays a weekly result and comment display screen 361 on the output device 34.
Thereafter, the weekly result and comment display processing procedure is terminated.

(Monthly result and comment display processing procedure)
The monthly comment display processing procedure will be described with reference to FIG.
In step S461, the data acquisition unit 53 of the Web / AP server 5 receives a monthly result and a comment display request.
Specifically, the data acquisition unit 53 accepts that the instructor presses the “go to monthly judgment” button 358 on the daily comment display screen 351.

In step S <b> 462, the data acquisition unit 53 registers in the monthly data management database 90.
Specifically, the data acquisition unit 53 first acquires columns from the first day of the current month to the last day of the weekly data management database 85 (FIG. 10B), and stores the rows 551, 552, 553, 553, For each of the rows 556 and 557, the average value of scores or raw points is calculated.
Second, a new record (column) is created in the monthly data management database 90 (FIG. 12).
Third, the rows 563, 564, 565, 566, and 562 of the created columns are respectively added to the rows 551, 552, 553, and 553 of FIG. The average value of scores or raw points for the rows 556 and 557 is stored.
4thly, the preset important target item is memorize | stored in the row 561 of the produced | generated column.

In step S463, the determination unit 54 of the Web / AP server 5 acquires the determination and the comment.
Specifically, the determination unit 54 first matches the average value of the score of the row 556 calculated in step S462 with the score of the score determination / comment generation reference database 84 (FIG. 10A), and corresponds. Get judgments and comments.
Secondly, the average value of the raw points in the row 557 calculated in step S462 is matched with the score in the score determination / comment generation reference database 84 (FIG. 10A) to obtain a corresponding determination.

In step S464, the data acquisition unit 53 acquires the number of consecutive days of the priority target item.
Specifically, the data acquisition unit 53 selects “continuous days” in the column from the first day to the last day of the current month in the weekly data management database 85 (FIG. 10B) acquired in “first” in step S462. The maximum value of the row 558 is obtained.

In step S465, the result display unit 56 of the Web / AP server 5 creates a monthly result and comment display screen 371 (FIG. 24).
Specifically, first, the result display unit 56 uses the month (limited to the month of the current year) of the monthly data management database 90 (FIG. 12) as the horizontal axis, and calculates the average value of the corresponding points in the row 562. Create a line graph with a vertical axis.
Second, a bar graph is created with the month (limited to the month of the current year) in the monthly data management database 90 (FIG. 12) as the horizontal axis and the average value of the score of the corresponding row 563 as the vertical axis. Similarly, a bar graph in which the horizontal axis is the month (limited to the month of the current year) of the monthly data management database 90 (FIG. 12), and the vertical axis is the average value of the corresponding row 564, and the monthly data management database A bar graph is created with the month of 90 (FIG. 12) (limited to the month of the current year) as the horizontal axis and the average value of the scores in the corresponding row 565 as the vertical axis.
Third, a monthly result and comment display screen 371 (FIG. 24) having columns 373 and 374, a “reset priority item” button 380 and a title 372 indicating the user ID and month is created.
Fourth, the determination and comment acquired in “first” of step S463 are described in the column 373 of the monthly result and comment display screen 371.
Fifth, in the column 374 of the monthly result and comment display screen 371, the determination obtained in “second” of step S463 and “Y” for “continuous good for Y days continuously” The comment overwriting the maximum value acquired in step S464 is written in the part.

Sixth, in the margin under the column 374 of the monthly result and comment display screen 371, the line graph 376 created in the “first” of the step and the three types created in the “second” of the step Bar graphs 377, 378, 379 are described. The height of each of the three types of bar graphs indicates the average value of the scores for “wake up / sleeping”, “meal”, and “exercise”. As shown in FIG. 24, these bar graphs are listed one above the other.
Seventh, in the monthly data management database 90 (FIG. 12), the average value of the score of the row 566 is acquired for all the columns of the current month, and the average value of the acquired score is used as the score determination / comment generation reference database 84. Match the score of (FIG. 10 (a)) and obtain the corresponding determination. Then, the acquired determination is described in the vicinity of the upper side of the corresponding month bar graph (reference numeral 375 in FIG. 24).
Eighth, the monthly result and comment display screen 371 is transmitted to the input terminal device 2.
The web browser 58 of the input terminal device 2 displays a monthly result and comment display screen 371 on the output device 34.
Thereafter, the monthly result and comment display processing procedure is terminated.

(Modification)
In the above-described embodiment, the value stored in the row 557 of the weekly data management database 85 (FIG. 10B) is not a score but a raw score. This is to make it easier to evaluate the raw points and continuity of the priority target item regardless of the weight of a certain evaluation item. However, the value stored in the row 557 of the weekly data management database 85 (FIG. 10B) can also be used as a score reflecting the weight.

  In the example described above, weekly and monthly processing is performed as processing other than daily. However, these are only examples, and for example, the processing may be performed at the beginning, middle, and end of a certain month, spring, summer, autumn, winter, etc. of a certain year. Also, in the weekly and monthly processing, it is not always necessary to use the week starting from Monday and the month starting from one day as a unit.

(Effect of this embodiment)
According to the lifestyle improvement support device 1 of the present embodiment, target values, weights, raw points, scores, determinations, and comments are set for each instructor and for each evaluation item, and target values such as sleep time or The instructor's efforts to get close to the preferred meal contents, etc. are displayed daily, weekly and monthly, with easy-to-understand judgments, comments, graphs and the like. Therefore, even if there are restrictions that the instructor cannot manage such as “it is difficult to lose weight”, health guidance can be continued while maintaining the motivation of the instructor.

  The present invention is not limited to the above-described embodiment, and can be modified without departing from the gist of the present invention.

DESCRIPTION OF SYMBOLS 1 Lifestyle improvement support apparatus 2 Input terminal device 3 Portable terminal device 4 Network 5 Web / AP server 6 DB server 11, 21, 31, 41 Main storage device (storage part)
12, 22, 32, 42 Auxiliary storage device (storage unit)
13, 23, 33, 43 Input device 14, 24, 34, 44 Output device 15, 25, 35, 45 Central controller (control unit)
16, 26, 36 Communication device 37 Mobile terminal interface (IF)
46 Input terminal interface (IF)
51 Web Management Unit 52 User Authentication Unit 53 Data Acquisition Unit 54 Determination Unit 55 Data Registration Unit 56 Result Display Unit 57 DB Management Unit 58 Web Browser 59 Clock Function 60 Momentum Management Function 61 Time Management Unit 71 Authentication Information Database 72 Target Information Database 73 Weighting information database 74 Actual data database 75 Time criterion database 76 Three meal intake criterion database 77 Dinner content criterion database 78 Dinner amount criterion database 79 Exercise amount criterion database 80 Conscious exercise criterion database 81 Daily data management Database 82 Daily data summary database 83 Score calculation standard database 84 Score judgment / comment generation standard database 85 Weekly data management database 86 Variation Physical Database 87 Consecutive Days Comment Database 88 Total Point Variation Judgment / Comment Generation Criteria Database 89 Previous Day Difference Variation Judgment / Comment Generation Criteria Database 90 Monthly Data Management Database 91 Mobile Terminal Device Data Management Database 311 Authentication Screen 321 Input Screen 341 Days Next result display screen 351 Daily comment display screen 361 Weekly result and comment display screen 371 Monthly result and comment display screen 381 Priority target item registration screen

Claims (15)

A lifestyle improvement support device that evaluates an instructor's efforts on multiple evaluation items related to lifestyle,
A storage unit storing a target value of the plurality of evaluation items, a determination value and a comment corresponding to a difference between the actual data actually acquired for the plurality of evaluation items and the target value;
A difference with the target value for the acquired actual data is calculated for each evaluation item,
A control unit that acquires the determination value and the comment corresponding to the calculated difference for each evaluation item and for each day;
Providing
A lifestyle improvement support device characterized by The storage unit
The weight for each evaluation item is stored,
The controller is
Reflecting a weight for each evaluation item with respect to the difference, and obtaining a determination value and a comment that combine the plurality of evaluation items;
The lifestyle improvement support device according to claim 1, wherein: The controller is
Obtaining a statistic indicating variation of the determination value in a predetermined period for each predetermined period;
The lifestyle improvement support device according to claim 1, wherein: The plurality of evaluation items are:
Including evaluation items related to sleep, evaluation items related to meals and evaluation items related to exercise,
The lifestyle improvement support device according to claim 1, wherein: The controller is
Obtaining the number of consecutive days for which the determination value of the predetermined evaluation item is maintained at a predetermined level or more for each predetermined period;
The lifestyle improvement support device according to claim 1, wherein: A lifestyle improvement support method using a lifestyle improvement support device that evaluates the instructor's efforts on multiple evaluation items related to lifestyle,
The storage unit of the lifestyle improvement support device,
Storing the target value of the plurality of evaluation items, the determination value and the comment corresponding to the difference between the actual data actually obtained for the plurality of evaluation items and the target value,
The control unit of the lifestyle improvement support device,
A difference with the target value for the acquired actual data is calculated for each evaluation item,
Obtaining the judgment value and comment corresponding to the calculated difference for each evaluation item and for each day;
A lifestyle improvement support method characterized by The storage unit
The weight for each evaluation item is stored,
The controller is
Reflecting a weight for each evaluation item with respect to the difference, and obtaining a determination value and a comment that combine the plurality of evaluation items;
The lifestyle improvement support method according to claim 6, wherein: The controller is
Obtaining a statistic indicating variation of the determination value in a predetermined period for each predetermined period;
The lifestyle improvement support method according to claim 6, wherein: The plurality of evaluation items are:
Including evaluation items related to sleep, evaluation items related to meals and evaluation items related to exercise,
The lifestyle improvement support method according to claim 6, wherein: The controller is
Obtaining the number of consecutive days for which the determination value of the predetermined evaluation item is maintained at a predetermined level or more for each predetermined period;
The lifestyle improvement support method according to claim 6, wherein: Evaluate the instructor's efforts on multiple assessment items related to lifestyle,
Lifestyle improvement support provided with a storage unit for storing target values of the plurality of evaluation items, and judgment values and comments corresponding to differences between the actual data actually obtained for the plurality of evaluation items and the target values A lifestyle improvement support program that makes the device function,
For the control unit of the lifestyle improvement support device,
A difference with the target value for the acquired actual data is calculated for each evaluation item,
Causing the determination value and the comment corresponding to the calculated difference to be acquired for each evaluation item and for each day;
A lifestyle improvement support program characterized by The storage unit
The weight for each evaluation item is stored,
For the control unit,
Reflecting the weight for each evaluation item with respect to the difference, and executing a process of obtaining a determination value and a comment for combining the plurality of evaluation items;
The lifestyle improvement support program according to claim 11, wherein: For the control unit,
Executing a process of obtaining a statistic indicating a variation of the determination value in a predetermined period for each predetermined period;
The lifestyle improvement support program according to claim 11, wherein: The plurality of evaluation items are:
Including evaluation items related to sleep, evaluation items related to meals and evaluation items related to exercise,
The lifestyle improvement support program according to claim 11, wherein: For the control unit,
Executing a process of acquiring, for each predetermined period, the number of consecutive days in which the determination value of a predetermined evaluation item is maintained at a predetermined level or higher;
The lifestyle improvement support program according to claim 11, wherein:

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