JP7689360B2 - Mild illness score estimated value calculation system, mild illness score estimated value calculation method, program, server, subject information input system or subject information input form, and recording medium - Google Patents

Description

The present invention relates to a mild illness score estimate calculation system, a mild illness score estimate calculation method, a program, a server, a subject information input system or subject information input form, and a recording medium.

In recent years, sleep debt, excessive stress, and other mental and physical disorders have led to reduced labor productivity during work (presenteeism) and economic losses, which have become a problem. On the other hand, it has become clear that workers who are free of mental and physical disorders and have a high level of happiness are more productive and creative. In order to increase individual productivity and reduce economic losses, it has become an urgent task to improve mental and physical disorders and create a vibrant, healthy, and long-lived society.

Many mild mental and physical disorders that individuals subjectively experience (hereinafter also referred to as "mild disorders") are difficult to measure with general objective indicators such as blood tests and diagnostic imaging, and are often evaluated using questionnaires based on the subjective responses of the subjects regarding their mental and physical disorders. To date, various questionnaires have been developed according to the type of mental and physical disorder being targeted and the type of subjects, for example, the Simple Occupational Stress Questionnaire (Non-Patent Document 1).

Simple Occupational Stress Questionnaire (https://www.mhlw.go.jp/file/05-Shingikai-11201000-Roudoukijunkyoku-Soumuka/0000050920.pdf)

However, questionnaire methods based on subjective responses regarding physical and mental illnesses have the problem that respondents may intentionally make their illness seem more severe or less severe than it actually is, often making it difficult to accurately assess the illness.

The present invention aims to provide a simple system, method, program, server, subject information input system or subject information input form, and recording medium that can objectively estimate mild disorders, as an alternative to the conventional questionnaire method based on subjective responses regarding mental and physical disorders.

The inventors have discovered that the food that everyone eats as part of their daily routine can correlate with mild illness, and further discovered that it is possible to use the dietary information of a subject to calculate a mild illness score estimate for the subject, which estimates the subject's mild illness score, which indicates the degree of mild physical and mental illness (hereinafter also referred to as mild illness) that a person subjectively feels, and have thus completed the present invention. More specifically, the present invention provides the following.

[1] A mild illness score estimation value calculation system for calculating a mild illness score estimation value obtained by estimating a mild illness score indicating a degree of mild illness subjectively felt by a human, comprising:
a mild illness score estimated value calculation means for calculating a mild illness score estimated value of the subject from the dietary information and attribute information of the subject using a regression analysis result of dietary information, attribute information, and mild illness score previously obtained from a plurality of persons;
The dietary information of the mild illness score estimate calculation system includes at least one selected from the group consisting of an evaluation value related to food preferences and an evaluation value related to eating habits.

[2] The mild illness score estimate calculation system according to [1], wherein the evaluation value relating to the food preference includes an evaluation value relating to at least one selected from the group consisting of the following (i) to (vi):
(i) Vegetable lovers (ii) Fruit lovers (iii) Alcohol and raw food lovers (iv) Dairy products and sweets lovers (v) Meat lovers and oil lovers (vi) Pickles and salt lovers

[3] The mild illness score estimation calculation system described in [1] or [2] above, in which the evaluation value related to the food preference includes a score value for at least one factor selected from the group consisting of a "vegetable lover" factor, a "fruit lover" factor, a "alcohol and raw food lover" factor, a "dairy product and sweets lover" factor, a "meat lover and oil lover" factor, and a "pickled food and salt lover" factor, which are extracted by factor analysis of answers to questions about food intake frequency.

[4] The mild illness score estimation calculation system according to any one of [1] to [3] above, wherein the evaluation values related to the eating habits include a score obtained by calculating answers to questions about at least one selected from the group consisting of frequency of drinking alcohol, daily rice intake, daily miso soup intake, frequency of eating breakfast, frequency of eating out, frequency of eating instant foods, frequency of eating fried foods using oil, frequency of eating fried foods using oil, amount of fatty meat eaten, amount of ramen/udon/soba soup drunk, habit of sprinkling salt on food at the dinner table, habit of pouring soy sauce on food at the dinner table, frequency of bowel movements, whether or not one tends to be constipated, eating speed, difficulty in eating hard foods, frequency of choking on tea or soup, dry mouth, whether or not one bites with the left and right molars, whether or not one has problems with eating habits or diet, whether or not one regularly takes health foods, and whether or not one lives with a roommate.

[5] The mild illness score and the mild illness score estimate include a calculated value for at least one selected from the group consisting of vitality, irritability, fatigue, anxiety, depression, and physical complaints. The mild illness score estimate calculation system according to any one of [1] to [4].
[6] The mild illness score estimate calculation system according to any one of [1] to [5] above, wherein the mild illness score estimate is a calculated value for at least three selected from the group consisting of vitality, irritability, fatigue, anxiety, depression, and physical complaints, and is represented in a radar chart.

[7] The mild illness score is a score obtained by converting a mental and physical reaction caused by stress into a score.
[8] The mild illness score is a value calculated by expressing answers to a plurality of questions regarding mental and physical reactions caused by stress as a score according to the degree of the mental and physical reactions, classifying the plurality of questions into at least one category selected from the group consisting of vitality, irritability, fatigue, anxiety, depression, and physical complaints, and aggregating the scores for the above categories. The mild illness score estimation system according to any one of [1] to [7] above.
[9] The mild illness score estimate calculation system according to [8], wherein the plurality of questions regarding mental and physical reactions caused by stress includes at least one of the questions in a simple occupational stress questionnaire.

[10] The mild illness score estimate calculation system described in any one of [1] to [9] above, wherein the attribute information obtained from the plurality of people and the attribute information of the subject include gender and age.

[11] The mild illness score estimate calculation means calculates the mild illness score estimate of the subject by inputting the subject's dietary information and attribute information into a regression equation in which the dietary information and attribute information previously obtained from the plurality of people are used as explanatory variables and the mild illness score previously obtained from the plurality of people is used as a target variable. The mild illness score estimate calculation system described in any one of [1] to [10] above.

[12] The mild illness score estimated value calculation system according to any one of [1] to [11] above, further comprising a means for providing at least one selected from the group consisting of an explanation regarding the subject's mild illness and advice for preventing or improving the subject's mild illness based on the mild illness score estimated value.

[13] The mild illness score estimated value calculation system according to any one of [1] to [12] above, further comprising a subject information input means for inputting or selecting dietary information and attribute information of the subject.
[14] The mild illness score estimated value calculation system according to any one of [1] to [13] above, further comprising an output means for outputting the mild illness score estimated value.

[15] In a system in which a user terminal and a server are connected via a network to transmit and receive data,
A) The user terminal is:
A subject information input means for inputting or selecting the subject's dietary information and attribute information;
A means for transmitting the dietary information and attribute information of the subject to a server;
means for receiving the mild illness score estimate from a server;
means for outputting the received mild illness score estimate;
Equipped with
B) The server:
A means for receiving dietary information and attribute information of the subject from the user terminal;
The mild illness score estimated value calculation means;
means for transmitting said mild illness score estimate to said user terminal;
The mild illness score estimate calculation system according to any one of [1] to [14] above, comprising:

[16] In a system in which a first user terminal, a server, and a second user terminal are connected via a network to transmit and receive data,
A) The first user terminal is
A subject information input means for inputting or selecting the subject's dietary information and attribute information;
A means for transmitting the dietary information and attribute information of the subject to a server;
Equipped with
B) The server:
A means for receiving dietary information and attribute information of the subject from the first user terminal;
The mild illness score estimated value calculation means;
means for transmitting said mild illness score estimate to said second user terminal;
Equipped with
C) The second user terminal,
means for receiving the mild illness score estimate from a server;
means for outputting the received mild illness score estimate;
Equipped with
The mild illness score estimate calculation system according to any one of claims [1] to [14], wherein the first user terminal is one or more, and the second user terminal is one or more.

[17] A method for calculating a mild illness score estimate using the mild illness score estimate calculation system described in any one of [1] to [16] above.
[18] A program for causing a computer to function as the means in the mild illness score estimated value calculation system according to any one of [1] to [16] above.

[19] A server for calculating a mild illness score estimate by estimating a mild illness score indicating a degree of mild illness for a subject, comprising:
A server that is connected to a user terminal via a network.
A means for receiving, from the user terminal, the dietary information and attribute information of the subject transmitted from the user terminal;
A storage means for storing the dietary information and attribute information of the subject;
A mild illness score estimate calculation means for calculating a mild illness score estimate of the subject from the dietary information and attribute information of the subject using a regression analysis result of dietary information, attribute information, and mild illness score previously obtained from a plurality of people;
means for transmitting said mild illness score estimate to said user terminal;
A server comprising:

[20] A subject information input system having a subject information input means for inputting or selecting dietary information and attribute information of the subject in the mild illness score estimate calculation system described in any one of [1] to [16] above, or a subject information input form for inputting or selecting dietary information and attribute information of the subject.

[21] A user terminal,
a) a subject information input means for inputting or selecting dietary information and attribute information of the subject in the mild illness score estimated value calculation system according to any one of [1] to [16] above;
A means for transmitting the dietary information and attribute information of the subject to a server;
A means for receiving the mild illness score estimate calculated by the mild illness score estimate calculation system from a server;
a program for causing the device to function as a means for outputting the received mild illness score estimate;
b) a subject information input means for inputting or selecting the subject's dietary information and attribute information;
A means for transmitting the dietary information and attribute information of the subject to a server;
or
c) a means for receiving the mild illness score estimate calculated by the mild illness score estimate calculation system from a server;
A program for functioning as a means for outputting the received mild illness score estimate.

[22] A computer-readable recording medium having the program described in [18] or [21] recorded thereon.

The present invention provides a simple system, method, program, server, subject information input system or subject information input form, and recording medium that can objectively estimate mild disorders, replacing the conventional questionnaire method based on subjective responses regarding mental and physical disorders.

FIG. 2 is a schematic diagram showing an example of an embodiment including an example of a radar chart in Example 1. FIG. 13 is a diagram showing a multiple regression equation created in Example 2.

The following describes an embodiment of the present invention, but the present invention is not limited to this.

In one aspect, the mild illness score estimate calculation system according to this embodiment is a system in which a user terminal and a server are connected via a network to transmit and receive data, and includes a server (server device) that calculates a mild illness score estimate for a subject from the subject's dietary information and attribute information using the results of a regression analysis of dietary information, attribute information, and mild illness scores previously obtained from multiple people, a first user terminal that inputs or accepts the subject's dietary information and attribute information (in this specification, such subject information is also referred to as "subject information") and transmits the subject information to the server, and a second user terminal that receives the mild illness score estimate calculated by the server from the server and outputs the received mild illness score estimate by displaying it on a screen or by voice, etc.

Specifically, such an embodiment is a system in which a first user terminal, a server, and a second user terminal are connected via a network to transmit and receive data,
A) The first user terminal is
A subject information input means for inputting or selecting dietary information and attribute information of a subject;
A means for transmitting the subject's dietary information and attribute information to a server (also referred to as a "subject information transmitting means");
At least
B) The server:
A means for receiving dietary information and attribute information of a subject from a first user terminal (also referred to as a "subject information receiving means");
A mild illness score estimate calculation means;
A means for transmitting a mild illness score estimate to a second user terminal (also referred to as a "mild illness score estimate transmitting means");
At least
C) The second user terminal:
A means for receiving a minor illness score estimate from a server (also referred to as a "minor illness score estimate receiving means");
A means for outputting the received mild illness score estimate (also referred to as a "mild illness score estimate output means");
At least
Preferably, the first user terminal is one or more, and the second user terminal is one or more.

The dietary information, attribute information, and mild illness scores obtained in advance from multiple people, as well as the results of the regression analysis of these, may be stored in the memory of the server, or in an external database accessible from the server. In addition, the subject information and/or the estimated mild illness scores may be stored in the memory of the server and/or in an external database accessible from the server.

As the server, a general computer device such as a server device equipped with an arithmetic device such as a CPU, a main storage device such as a RAM (Random Access Memory), an auxiliary storage device such as a HDD (Hard Disk Drive), an SSD (Solid State Drive), or a flash memory, and various input/output devices including a means for connecting to a network can be used. More specifically, a program for making the server function or operate as each means in the mild illness score estimated value calculation system is stored in the auxiliary storage device in advance or by copying from a recording medium, and the computer can be used as a server in the mild illness score estimated value calculation system of the present invention by expanding the program on the main storage device to perform calculations by the arithmetic device and controlling the input/output means. The server may be realized by a single computer, or may be realized by a plurality of computers, such as by realizing each means provided by the server and the storage unit by separate computers.

As a user terminal, a general computer equipped with a calculation unit, a main memory device, an auxiliary memory device, a means for connecting to a network, and various input/output devices including input means and/or output means can be used, and for example, a communication-enabled terminal such as a smartphone, a computer (personal computer), an Internet terminal, or a wearable device may be used. The input means may be configured to be capable of accepting input by text and/or voice or other input, and the output means may be configured to be capable of outputting in any manner, such as voice output, display output, or a combination of these.

There may be one (single) first user terminal per subject, or there may be multiple. In the former case, it is assumed that the subject himself or a representative enters the subject information. In the latter case, it is assumed that there are multiple first user terminals, for example, the subject himself enters his attribute information and another person enters the dietary information, or the subject himself enters the dietary information and another person enters the subject information. When there are multiple subjects, there may be one or multiple first user terminals for each subject, as described above.

There may be one second user terminal per subject (single), or there may be multiple. In the former case, it is assumed that the subject himself/herself or another person such as a representative will know the estimated mild illness score through a screen display or audio output, etc. In the latter case, it is assumed that the subject himself/herself and/or another person will know the estimated mild illness score through a screen display or audio output, etc. There is no particular limitation on the other person, and possible examples include the subject's family (parent, guardian, child, etc.), the subject's workplace associates, health check-related institutions, etc.

Examples of a mode in which output is performed on a user terminal different from the user terminal used for input include a case in which the subject himself/herself inputs the data, and the subject himself/herself and/or another person knows the estimated mild illness score; for example, a parent (or child) may input the data as the subject, and a child (or parent) who is in a remote location or does not live with the subject knows the estimated value as the other person (such as a monitoring service, as described below); or a case in which an employee inputs the data as the subject, and a health examination institution, company, or other workplace associate knows the estimated mild illness score as the other person.

The first user terminal, the server, and the second user terminal may be the same terminal. Such a case may be, for example, a case where the person who inputs the subject information and the person who knows the calculated mild illness score estimate are the same person. Specific examples of such a case include:
A) The user terminal is
A subject information input means for inputting or selecting dietary information and attribute information of a subject;
A means for transmitting dietary information and attribute information of the subject to a server;
means for receiving a mild illness score estimate from a server;
means for outputting the received mild illness score estimate;
At least
B) The server:
A means for receiving the subject's dietary information and attribute information from a user terminal;
A mild illness score estimate calculation means;
means for transmitting a mild illness score estimate to said user terminal;
It is preferable to have at least

In addition, the mild illness score estimate calculation system of the present invention may be operated using a single computer and its terminal (user terminal) without going through a network. In this embodiment, for example, a program for causing the computer to function or operate as each means in the mild illness score estimate calculation system is stored in the auxiliary storage device of the computer in advance or by copying from a recording medium, and the program is deployed on the main storage device to perform calculations by the arithmetic device and control the input/output means, thereby allowing a single computer to be used as a server in the mild illness score estimate calculation system of the present invention.

A first aspect of the present invention is a mild illness score estimate calculation system for calculating a mild illness score estimate value obtained by estimating a mild illness score indicating the degree of mild illness for a subject,
a mild illness score estimated value calculation means for calculating a mild illness score estimated value of the subject from the dietary information and attribute information of the subject using a regression analysis result of dietary information, attribute information, and mild illness score previously obtained from a plurality of persons;
The dietary information includes at least one selected from the group consisting of an evaluation value related to food preferences and an evaluation value related to eating habits.

The mild disorder score estimate calculation means can preferably be constructed and made to function according to the following procedure.
(1) Attribute information, dietary information, and mild illness score of each person are collected in advance from multiple people.
(2) Obtain the results of a regression analysis between the collected information and the minor illness score. Specifically, create a regression equation.
(3) Collect demographic information and dietary information from the subjects.
(4) Using the regression analysis results or regression equation, an estimated mild illness score is calculated from the information collected from the subjects.
The mild illness score estimate calculation means is described in detail below.

The attribute information and dietary information obtained in advance from multiple people and the attribute information and dietary information obtained from the subject are preferably information on the same items, in that the calculation value of the subject's mild illness score is obtained from the information of the latter subject using the results of a regression analysis of the information of the former multiple people.

As described above, it is preferable that the attribute information obtained from multiple people and the subject's attribute information are the same items of information obtained in advance from multiple people and the subject's information, and it is preferable that both include at least gender and age.

When using an evaluation value related to food preferences, it is preferable that the evaluation value related to food preferences includes an evaluation value related to at least one selected from the group consisting of (i) to (vi) below, and it is more preferable that the evaluation value related to food preferences includes all of the evaluation values (i) to (vi) below in terms of increasing the accuracy of the mild illness score estimate.
(i) Vegetable lovers (ii) Fruit lovers (iii) Alcohol and raw food lovers (iv) Dairy products and sweets lovers (v) Meat lovers and oil lovers (vi) Pickles and salt lovers

Evaluation values related to food preferences may be extracted, for example, by factor analysis of answers to questions about food intake frequency. The questions are not particularly limited, and for example, the "Food Intake Frequency Survey" questionnaire (https://www.kyoikusw.co.jp/food-frequency-method/#FFQ-3) or other known questionnaires can be used. Evaluation of mild illness using a questionnaire or questionnaire has the advantages of not requiring special equipment, being able to be completed in a relatively short time, and being simple. In addition, values estimated from food photographs using known technology (see, for example, Patent No. 6745962) can also be used.

The evaluation value related to food preference may include a score value for each of the corresponding factors, specifically, at least one factor selected from the group consisting of the "vegetable lover" factor, the "fruit lover" factor, the "alcohol and raw food lover" factor, the "dairy product and sweets lover" factor, the "meat and oil lover" factor, and the "pickled food and salt lover" factor, depending on which of the above (i) to (vi) is selected. For example, when using the above-mentioned "food intake frequency survey" questionnaire, these factors can be classified and scored based on the answers to the questionnaire, as in Example 1 described below.

When an assessment value related to eating habits is used, the assessment value related to eating habits preferably includes a score obtained by answering at least one of the following questions selected from the group consisting of frequency of drinking alcohol, daily intake of cooked rice, daily intake of miso soup, frequency of eating breakfast, frequency of eating out, frequency of eating instant foods, frequency of eating stir-fried foods, frequency of eating fried foods, amount of fatty meat eaten, amount of ramen/udon/soba soup drunk, habit of sprinkling salt on food at the dinner table, habit of pouring soy sauce on food at the dinner table, frequency of bowel movements, whether or not one tends to be constipated, eating speed, difficulty in eating hard foods, frequency of choking on tea or soup, dry mouth, whether or not one bites with the left and right molars, whether or not one has problems with eating habits or diet, whether or not one regularly takes health foods, and whether or not one lives with a roommate; and more preferably includes a score obtained by answering all of these questions in order to improve the accuracy of the mild illness score estimate. For example, when using the above-mentioned questionnaire "Food Intake Frequency Survey," each of these frequencies and intake amounts can be scored based on the responses to the questionnaire, as in Example 1 described below.

As described above, in this specification, mild physical and mental discomfort that a person subjectively feels is referred to as "mild discomfort." In addition, in this specification, "mild discomfort score" refers to a rating or score indicating the degree of mild discomfort, for example, a score obtained by converting the score into a number as in Example 1 described below. In addition, in this specification, an estimate of the mild discomfort score for a subject is referred to as a "mild discomfort score estimate," and specifically, it can be calculated from the subject's dietary information and attribute information using the regression analysis results or the mild discomfort score estimate calculation means described above.

The mild illness score and the mild illness score estimate preferably include a calculated value for at least one selected from the group consisting of vigor, irritability, fatigue, anxiety, depression, and physical complaints, and in terms of increasing the accuracy of the mild illness score estimate, it is more preferable to include calculated values for at least three selected from the group consisting of vigor, irritability, fatigue, anxiety, depression, and physical complaints, and it is even more preferable to include calculated values for all of these, and may also include calculated values for drowsiness and/or insomnia in addition to at least one selected from the group consisting of vigor, irritability, fatigue, anxiety, depression, and physical complaints, as in Example 2 described below.

In collecting the mild illness score, for example, a known questionnaire can be used.
The mild illness score is preferably a score obtained by converting the mental and physical reactions caused by stress into a score. In this case, specifically, it is preferable that answers to a number of questions regarding the mental and physical reactions caused by stress are expressed as a score according to the degree of the mental and physical reactions, and the number of questions are classified into at least one item selected from the group consisting of vigor, irritability, fatigue, anxiety, depression, and physical complaints, and the score for the item is totaled.

The multiple questions regarding the mental and physical reactions caused by the above stress can be, for example, a known questionnaire, but it is preferable to include at least one question in the "Simple Occupational Stress Questionnaire" (Non-Patent Document 1 mentioned above). For example, when using the "Simple Occupational Stress Questionnaire," a score can be calculated based on the answers to the questionnaire, as in Example 1 described below.

As described above, the mild illness score estimate calculation means uses the results of a regression analysis of dietary information, attribute information, and mild illness scores obtained in advance from a plurality of people, but more specifically, it is preferable that the means calculates the subject's mild illness score estimate by inputting the subject's dietary information and attribute information into a regression equation in which the dietary information and attribute information obtained in advance from a plurality of people are used as explanatory variables and the mild illness scores obtained in advance from a plurality of people are used as objective variables.

The mild illness score estimate calculation system may further include a means for providing at least one selected from the group consisting of an explanation regarding the subject's mild illness and advice for preventing or improving the subject's mild illness based on the mild illness score estimate.

The mild illness score estimate calculation system may further include a subject information input means for inputting or selecting the subject's dietary information and attribute information, and may further include an output means for outputting the mild illness score estimate.

The output of the mild illness score estimate may be represented, for example, on a radar chart. Specifically, the mild illness score estimate may be represented on a radar chart as calculated values for at least three items selected from the group consisting of vigor, irritability, fatigue, anxiety, depression, and physical complaints, and more preferably, as calculated values for six items, vigor, irritability, fatigue, anxiety, depression, and physical complaints. Such output of the mild illness score estimate is applicable to both cases where the server has the output means and cases where the user terminal has the output means.

A second aspect of the present invention is a method for calculating a mild illness score estimate using the above-mentioned mild illness score estimate calculation system. By using the above-mentioned mild illness score estimate calculation system, this calculation method can easily and objectively estimate a subject's mild illness without using a conventional questionnaire based on subjective responses regarding physical and mental illness.

A third aspect of the present invention is a program for causing a computer to function as the above-mentioned means in the above-mentioned mild illness score estimate calculation system. The above-mentioned means to be operated by the program preferably includes at least the above-mentioned mild illness score estimate calculation means, and may further include at least one selected from the group consisting of the above-mentioned subject information input means, subject information transmission means, subject information reception means, storage means, mild illness score estimate transmission means, mild illness score estimate reception means, and mild illness score estimate output means. Also, for example, as in the above-mentioned aspect, the program may be for causing a user terminal to function as at least one of these means, and such a program may specifically be the program of the sixth aspect of the present invention described below.

A fourth aspect of the present invention is a server for calculating a mild illness score estimate value obtained by estimating a mild illness score indicating a degree of mild physical and mental illness (mild illness) subjectively felt by a human, comprising:
A server that is connected to a user terminal via a network.
A means for receiving, from a user terminal, the dietary information and attribute information of the subject transmitted from the user terminal;
A storage means for storing dietary information and attribute information of a subject;
A mild illness score estimate calculation means for calculating a mild illness score estimate of a subject from the dietary information and attribute information of the subject using a regression analysis result of dietary information, attribute information, and mild illness score previously obtained from a plurality of people;
means for transmitting the mild illness score estimate to a user terminal;
As the server, for example, the above-mentioned server is suitable.

The fifth aspect of the present invention is a subject information input system having a subject information input means for inputting or selecting dietary information and attribute information of a subject in the above-mentioned mild illness score estimate calculation system, or a subject information input form for inputting or selecting dietary information and attribute information of a subject. The subject information input system may be, for example, in a user terminal, or in an aspect in which a single computer and its terminal (user terminal) are used without a network, it may be in the terminal of the computer. The subject information input form may be, for example, the above-mentioned questionnaire, specifically, for example, the above-mentioned questionnaire "Food Intake Frequency Survey" or other known questionnaires. The evaluation of mild illness using a questionnaire or a questionnaire has advantages such as not requiring special equipment, being able to be carried out in a relatively short time, and being simple.

A sixth aspect of the present invention provides a user terminal comprising:
a) a subject information input means for inputting or selecting dietary information and attribute information of a subject in the mild illness score estimate calculation system;
A means for transmitting dietary information and attribute information of the subject to a server;
A means for receiving a mild illness score estimate calculated by the mild illness score estimate calculation system from a server;
a program for causing the device to function as a means for outputting the received mild illness score estimate;
b) a subject information input means for inputting or selecting the subject's dietary information and attribute information;
A means for transmitting the dietary information and attribute information of the subject to a server;
or
c) a means for receiving the mild illness score estimate calculated by the mild illness score estimate calculation system from a server;
The program is for causing the computer to function as a means for outputting the received mild illness score estimate.

The above program a) is suitable for an embodiment in which the first user terminal, the server, and the second user terminal are the same terminal. The above programs b) and c) are suitable for an embodiment in which the first user terminal, the server, and the second user terminal are different terminals, and specifically, b) is suitable for the first user terminal, and c) is suitable for the second user terminal. The above programs a) to c) may be programs for operating an application (app) used in a user terminal such as a smartphone or a wearable device, for example.

A seventh aspect of the present invention is a computer-readable recording medium having the above-mentioned program recorded thereon.

Unlike conventional questionnaire methods based on the subjective responses of subjects regarding minor ailments (mental and physical ailments), the present invention is able to estimate a minor ailment score using subject attribute information and dietary information, which is information that is not easy to intentionally manipulate while considering the impact on the evaluation value obtained by the subject (respondent), and has the advantage of not requiring the subject to self-evaluate their minor ailments (mental and physical ailments).

The present invention is generally applicable to cases where it is expected that a correct evaluation of mild illness based on self-assessment of mild illness is performed, but by using the present invention, a mild illness score estimate that does not include any intentional manipulation by the subject can be obtained, and in this respect, it is particularly useful in cases where a correct evaluation of mild illness based on self-assessment of mild illness is difficult, for example, in an environment that is generally prone to intentional manipulation by the subject, so that the subject's mild illness state can be appropriately grasped.

Examples of environments that may easily lead to intentional manipulation by the subject include cases where there is a third party who knows the subject's evaluation value. In particular, cases where the subject does not properly communicate his or her physical or mental discomfort out of consideration for those around him or her (third parties), cases where the third party is a stressor for the subject, cases where the subject's evaluation value is shown to those around him or her (third parties), and cases where the subject's evaluation value is shown to those around him or her (third parties) and the subject does not want those around him or her to know about his or her true state of mild discomfort are anticipated.

In addition, since the present invention is a method for estimating a mild illness score from only information about meals that everyone engages in as part of their daily activities and attribute information that everyone possesses, anyone can respond, and there is also the advantage that the burden on the subject of collecting information is small. Therefore, the present invention can be easily used by a wide range of subjects, and is also suitable for conducting mild illness evaluations multiple times. Predicting mild illness as simply as possible also leads to a solution to the above-mentioned problem of presenteeism.

Industrial applications include, for example, services to monitor minor illnesses of family members who live far away (monitoring services). Other examples include cases in which minor illness evaluations are performed on many people, or cases in which minor illness evaluations are performed on many people multiple times, such as services for universities, companies, etc. to grasp the state of minor illnesses of employees, and services for universities, companies, etc. to track the state of minor illnesses of employees over time or frequently.

The present invention will be described in more detail below with reference to examples, but the present invention is not limited to these examples.

Example 1 Calculation of estimated mild illness score 1
A regression analysis was performed on the dietary information, attribute information, and mild illness score of 591 healthy subjects as follows. The subjects may have mild illnesses. The results of this regression analysis were then used to calculate the subjects' mild illness score estimates for six items: vitality, irritability, fatigue, anxiety, depression, and physical complaints.

1. Collection of demographic information of subjects Age and gender were collected as demographic information of subjects.

2. Collection of dietary information 2.1 Collection of ratings related to food preferences Factor analysis was performed on the subjects' responses to the "Food Frequency Survey"(https://www.kyoikusw.co.jp/food-frequency-method/#FFQ-3) questionnaire, and the following factors were extracted: "vegetable lover,""fruitlover,""alcoholic and raw food lover,""dairy and sweets lover,""meat and oil lover," and "pickles and salt lover." The "vegetable lover" factor score (hereinafter, FA1), "fruit lover" factor score (hereinafter, FA2), "alcoholic and raw food lover" factor score (hereinafter, FA3), "dairy and sweets lover" factor score (hereinafter, FA4), "meat lover and oil lover" factor score (hereinafter, FA5), and "pickles and salt lover" factor score (hereinafter, FA6) were collected as ratings related to food preferences (food intake).

2.2 Collection of evaluation values related to eating habits Among the responses of the subjects to the questionnaire "Food Frequency Survey"(https://www.kyoikusw.co.jp/food-frequency-method/#FFQ-3),
FFQ_002: Frequency of drinking alcohol (0: no answer, 1: less than once a month, 2: 1-3 days a month, 3: 1-2 days a week, 4: 3-4 days a week, 5: 5-6 days a week, 6: daily)
FFQ_009: Amount of rice eaten per day, including breakfast, lunch, and dinner (0: no answer, 1: less than 1 cup, 2: 1 cup, 3: 2 cups, 4: 3 cups, 5: 4 cups, 6: 5 cups, 7: 6 cups, 8: 7-9 cups, 9: 10 cups or more)
FFQ_011: Amount of miso soup consumed per day, including breakfast, lunch, and dinner (0: no answer, 1: less than 1 cup, 2: 1 cup, 3: 2 cups, 4: 3 cups, 5: 4 cups, 6: 5 cups, 7: 6 cups, 8: 7-9 cups, 9: 10 cups or more)
FFQ_324: Frequency of eating breakfast (0: not filled in, 1: less than once a month, 2: 1-3 times a month, 3: 1-2 times a week, 4: 3-4 times a week, 5: 5-6 times a week, 6: every day)
FFQ_325: Frequency of eating out (0: not filled in, 1: less than once a month, 2: 1-3 times a month, 3: 1-2 times a week, 4: 3-4 times a week, 5: 5-6 times a week, 6: every day)
FFQ_326: Frequency of eating instant foods (0: not filled in, 1: less than once a month, 2: 1-3 times a month, 3: 1-2 times a week, 4: 3-4 times a week, 5: 5-6 times a week, 6: daily)
FFQ_327: Frequency of eating fried food with oil (0: no answer, 1: less than once a month, 2: 1-3 times a month, 3: 1-2 times a week, 4: 3-4 times a week, 5: 5-6 times a week, 6: daily)
FFQ_328: Frequency of eating fried foods (0: no answer, 1: less than once a month, 2: 1-3 times a month, 3: 1-2 times a week, 4: 3-4 times a week, 5: 5-6 times a week, 6: daily)
FFQ_329: Amount of fatty meat eaten (0: no answer, 1: almost never, 2: one-third, 3: half, 4: two-thirds, 5: almost always)
FFQ_330: Amount of ramen, udon, or soba soup you drink (0: no answer, 1: almost never, 2: one-third, 3: half, 4: two-thirds, 5: almost always)
FFQ_331: Habit of sprinkling salt on food at the table (0: no answer, 1: never, 2: rarely, 3: sometimes, 4: usually, 5: always)
FFQ_332: Habit of putting soy sauce on food at the table (0: no answer, 1: never, 2: rarely, 3: sometimes, 4: usually, 5: always)

and the following questions:
Q_441: Bowel movements in the past month (0: Less than twice a week, 1: 3-4 times a week, 2: 5-6 times a week, 3: Once a day, 4: Twice a day)
Q_444: Have you had constipation in the past month? (0: No, 1: Yes)
Q_404: Eating speed (0: slow, 1: normal, 2: fast)
Q_405: It has become difficult to eat hard foods (0: No, 1: Yes)
Q_406: I choke on tea, soup, etc. (0: No, 1: Yes)
Q_407: Do you have dry mouth? (0: No, 1: Yes)
Q_408: Can you bite down with your molars? (0: No, 1: Yes)
Q_409: Do you have any problems with eating habits or food? (0: no, 1: yes)
Q_410: Regular intake of health foods (0: no, 1: yes)
Q_007: Living together (living alone) (0: no, 1: yes)
The responses to these questions were collected as an assessment of eating habits (eating behavior).

3. Collection of mild ailment scores Among the questionnaire "Simple Occupational Stress Questionnaire" (https://www.mhlw.go.jp/file/05-Shingikai-11201000-Roudoukijunkyoku-Soumuka/0000050920.pdf), 29 items related to stress reactions (No.1; I feel energized, No.2; I feel full of energy, No.3; I feel lively, No.4; I feel angry, No.5; I feel resentful inside, No.6; I feel irritated, No.7; I feel very tired, No.8; I feel exhausted, No.9; I feel dull, No.10; I feel tense, No.11; I feel anxious, No.12; I feel restless, No.13; I feel depressed, No.14; I feel like it's too much trouble to do anything, No.15; I can't concentrate on things, No.16; The subjects' responses to the following questions were tallied and scored as seldom (1 point), sometimes (2 points), often (3 points), or almost always (4 points). The following values were calculated using the results:

・Stress-induced physical and mental reactions score_vitality (hereafter, mild ill-health score_vitality) = No.1 score + No.2 score + No.3 score ・Stress-induced physical and mental reactions score_irritability (hereafter, mild ill-health score_irritability) = No.4 score + No.5 score + No.6 score ・Stress-induced physical and mental reactions score_fatigue (hereafter, mild ill-health score_fatigue) = No.7 score + No.8 score + No.9 score ・Stress-induced physical and mental reactions score_anxiety (hereafter, mild ill-health score_anxiety) = No.10 score + No. Score No.11 + Score No.12 Score Score of mental and physical reactions caused by stress - Depression (hereinafter, "Mild ill health score - Depression") = Score No.13 + Score No.14 + Score No.15 + Score No.16 + Score No.17 + Score No.18 Score Score of mental and physical reactions caused by stress - Physical complaints (hereinafter, "Mild ill health score - Physical complaints") = Score No.19 + Score No.20 + Score No.21 + Score No.22 + Score No.23 + Score No.24 + Score No.25 + Score No.26 + Score No.27 + Score No.28 + Score No.29

4. Creation of a regression equation for mild illness scores using dietary information A multiple regression equation was created using age, sex, and dietary information for each of mild illness score_vigor, mild illness score_irritability, mild illness score_fatigue, mild illness score_anxiety, mild illness score_depression, and mild illness score_physical complaints. As a result, the following equation including a constant term was obtained.

・Mild illness score _ Vitality
= 0.4 × Q404 - 0.33 × FFQ326 + 0.15 × FFQ002 + 0.21 × FFQ324 + 5.75 (adjusted coefficient of determination ^R2 = 0.04)
・Mild illness score - Irritability
=-0.04×Age-0.64×Q407+0.54×gender-0.18×FFQ_FA2+7.72 (adjusted coefficient of determination ^R2 =0.09)
・Mild illness score - Fatigue
=-0.05×Age+0.85×gender+0.30×FFQ326+0.88×Q405+0.19×FFQ_FA5+7.5 (adjusted coefficient of determination ^R2 =0.15)
・Mild illness score - anxiety
=0.23×FFQ_FA5+1.0×Q405-0.03×Age+0.58×Q407+0.15×FFQ330+0.17×FFQ_FA3+6.4 (adjusted coefficient of determination ^R2 =0.09)
Mild illness score - Depression
=-0.06×Age+0.48×FFQ326-1.17×Q405+0.99×gender+0.35×FFQ330+0.85×Q407+0.26×FFQ_FA3+10.2 (adjusted coefficient of determination ^R2 =0.11)
・Mild ailment score - physical complaints
= 2.6 × Q444 + 2.35 × gender + 0.57 × FFQ325 + 1.09 × Q409 + 1.63 × Q405 + 0.49 × FFQ326 + 12.9 (adjusted coefficient of determination ^R2 = 0.14)

5. Calculation of subject's mild illness score estimate Gender and age were obtained as attribute information from the subject, and the same questionnaire used for the above subjects was used to obtain evaluation values related to food preferences and evaluation values related to eating habits as dietary information. From the subject's dietary information and attribute information (gender and age), the mild illness score regression equation obtained in 4. above was used as the regression analysis result of the mild illness score to calculate the subject's mild illness score estimate. The mild illness score estimate can be represented, for example, as a radar chart in FIG. 1.

Example 2 Calculation of estimated mild illness score 2
The responses to the questionnaire "Occupational Stress Short Questionnaire" of 591 subjects collected in Example 1 were compiled and scored in the same manner as in Example 1, and using these, a multiple regression equation was created as shown below for the mild illness score_vigor, mild illness score_irritability, mild illness score_fatigue, mild illness score_anxiety, mild illness score_depression, and mild illness score_physical complaints in Example 1, as well as the mild illness score_drowsiness, which is a score on the questionnaire "JESS" below, and the mild illness score_insomnia, which is a score on the questionnaire "PSQIG" below, using the age, sex, and dietary information of the subjects collected in Example 1.
・Mild illness score - dozing off
=0.67×FFQ_FA5-0.06×gender-0.62×Q444+0.34×FFQ_FA4+10.9
・Mild illness score - insomnia
=0.84×Q407+0.21×FFQ330-0.23×FFQ324+0.24×FFQ_FA3+0.21×FFQ327+0.53×Q406+5.4

・Questionnaire "JESS":
Takegami M, Suzukamo Y, Wakita T, Noguchi H, Chin K, Kadotani H, Inoue Y, Oka Y, Nakamura T, Green J, Johns MW, Fukuhara S. Development of a Japanese version of the Epworth Sleepiness Scale (JESS) based on Item Response Theory. Sleep medicine 2009; 10: 556-65.
・Questionnaire "PSQIG":
Y.Doi et al. Psychometric assessment of subjective sleep quality using the Japanese version of the Pittsburgh Sleep Quality Index (PSQI-J) in psychiatric disordered and control subjects. Psychiatry Research 2000; 97(2-3): 165-172.
Yuriko Doi, Masumi Minowa, Masako Okawa, Makoto Uchiyama: Creation of a Japanese version of the Pittsburgh Sleep Quality Index, Journal of Psychiatry and Therapy 1988; 13(6); 755-769. Pittsburgh Sleep Quality Index

The multiple regression equation created is shown in Figure 2 together with the multiple regression equation created in Example 1. In Figure 2, the assessment values related to the above-mentioned eating habits beginning with FFQ or Q in the multiple regression equation are expressed by their contents. Using the results of this regression analysis, the subject's estimated mild ailment score can be calculated for eight items: vigor, irritability, fatigue, anxiety, depression, physical complaints, drowsiness, and insomnia.

Claims (20)

A mild illness score estimation value calculation system that calculates a mild illness score estimation value that estimates a mild illness score indicating the degree of mild physical and mental illness (hereinafter referred to as mild illness) that a person subjectively feels for a subject,
a mild illness score estimated value calculation means for calculating a mild illness score estimated value of the subject from the dietary information and attribute information of the subject using a regression analysis result of dietary information, attribute information, and mild illness score previously obtained from a plurality of persons;
The dietary information includes at least one selected from the group consisting of an evaluation value related to food preferences and an evaluation value related to eating habits. The mild illness score estimate calculation system according to claim 1, wherein the evaluation value related to food preference includes an evaluation value related to at least one selected from the group consisting of (i) to (vi) below.
(i) Vegetable lovers (ii) Fruit lovers (iii) Alcohol and raw food lovers (iv) Dairy products and sweets lovers (v) Meat lovers and oil lovers (vi) Pickles and salt lovers The mild illness score estimation calculation system according to claim 1 or 2, wherein the evaluation value relating to food preference includes a score value for at least one factor selected from the group consisting of a "vegetable lover" factor, a "fruit lover" factor, a "liquor and raw food lover" factor, a "dairy product and sweets lover" factor, a "meat and oil lover" factor, and a "pickled food and salt lover" factor, which are extracted by factor analysis of answers to questions about food intake frequency. The mild illness score estimation calculation system according to any one of claims 1 to 3, wherein the evaluation value related to the eating habits includes a score value obtained by calculating answers to at least one question selected from the group consisting of frequency of drinking alcohol, daily rice intake, daily miso soup intake, frequency of eating breakfast, frequency of eating out, frequency of eating instant foods, frequency of eating fried foods using oil, frequency of eating fried foods using oil, amount of fatty meat eaten, amount of ramen/udon/soba soup drunk, habit of sprinkling salt on food at the dinner table, habit of pouring soy sauce on food at the dinner table, frequency of bowel movements, whether or not one tends to be constipated, eating speed, difficulty in eating hard foods, frequency of choking on tea or soup, dry mouth, whether or not one bites with the left and right molars, whether or not one has problems with eating habits or diet, whether or not one regularly takes health foods, and whether or not one lives with a roommate. The mild illness score and the mild illness score estimate according to any one of claims 1 to 4, wherein the mild illness score and the mild illness score estimate include a calculated value for at least one selected from the group consisting of vigor, irritability, fatigue, anxiety, depression, and physical complaints. The mild illness score estimate calculation system according to any one of claims 1 to 5, wherein the mild illness score estimate is calculated values for at least three selected from the group consisting of vitality, irritability, fatigue, anxiety, depression, and physical complaints, and is displayed on a radar chart. The mild illness score estimation calculation system according to any one of claims 1 to 6, wherein the mild illness score is a score obtained by calculating a mental and physical reaction caused by stress. The mild illness score is a value calculated by expressing answers to a plurality of questions regarding mental and physical reactions caused by stress as a score according to the degree of the mental and physical reactions, classifying the plurality of questions into at least one category selected from the group consisting of vitality, irritability, fatigue, anxiety, depression, and physical complaints, and tallying up the scores for the categories. The mild illness score estimation system according to any one of claims 1 to 7. The mild illness score estimate calculation system according to claim 8, wherein the plurality of questions regarding mental and physical reactions caused by stress includes at least one question in a simple occupational stress questionnaire. The mild illness score estimate calculation system according to any one of claims 1 to 9, wherein the attribute information obtained from the plurality of people and the attribute information of the subject include gender and age. The mild illness score estimate calculation system according to any one of claims 1 to 10, wherein the mild illness score estimate calculation means calculates the mild illness score estimate of the subject by inputting the subject's dietary information and attribute information into a regression equation in which the dietary information and attribute information previously obtained from the plurality of people are explanatory variables and the mild illness score previously obtained from the plurality of people is a response variable. The mild illness score estimate calculation system according to any one of claims 1 to 11, further comprising a means for providing at least one selected from the group consisting of an explanation regarding the subject's mild illness and advice for preventing or improving the subject's mild illness based on the mild illness score estimate. The mild illness score estimate calculation system according to any one of claims 1 to 12, further comprising a subject information input means for inputting or selecting the subject's dietary information and attribute information. The mild illness score estimated value calculation system according to any one of claims 1 to 13, further comprising an output means for outputting the mild illness score estimated value. In a system in which a user terminal and a server are connected via a network to transmit and receive data,
A) The user terminal is
A subject information input means for inputting or selecting the subject's dietary information and attribute information;
A means for transmitting the dietary information and attribute information of the subject to a server;
means for receiving the mild illness score estimate from a server;
means for outputting the received mild illness score estimate;
Equipped with
B) The server
A means for receiving dietary information and attribute information of the subject from the user terminal;
The mild illness score estimated value calculation means;
means for transmitting said mild illness score estimate to said user terminal;
The mild illness score estimate calculation system according to any one of claims 1 to 14, comprising: In a system in which a first user terminal, a server, and a second user terminal are connected via a network to transmit and receive data,
A) The first user terminal,
A subject information input means for inputting or selecting dietary information and attribute information of the subject;
A means for transmitting the dietary information and attribute information of the subject to a server;
Equipped with
B) The server
means for receiving dietary information and attribute information of the subject from the first user terminal;
The mild illness score estimated value calculation means;
means for transmitting the mild illness score estimate to the second user terminal;
Equipped with
C) The second user terminal:
means for receiving the mild illness score estimate from a server;
means for outputting the received mild illness score estimate;
Equipped with
The mild illness score estimate calculation system according to any one of claims 1 to 14, wherein the first user terminal is one or more, and the second user terminal is one or more. A method for calculating a mild illness score estimate using the mild illness score estimate calculation system described in any one of claims 1 to 16. A program for causing a computer to function as the mild illness score estimated value calculation means in the mild illness score estimated value calculation system according to any one of claims 1 to 16. A server for calculating a mild illness score estimate by estimating a mild illness score indicating a degree of mild illness for a subject,
A server that is connected to a user terminal via a network.
A means for receiving, from the user terminal, the dietary information and attribute information of the subject transmitted from the user terminal;
A storage means for storing dietary information and attribute information of the subject;
A mild illness score estimate calculation means for calculating a mild illness score estimate of the subject from the dietary information and attribute information of the subject using a regression analysis result of dietary information, attribute information, and mild illness score previously obtained from a plurality of people;
means for transmitting said mild illness score estimate to said user terminal;
A server comprising: A computer-readable recording medium having the program according to claim 18 recorded thereon .