JP2008052511A - Life-style related disease check program based on ebm, computer readable storage medium storing life-style related disease check program based on ebm, and life-style related disease check system based on ebm - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To effectively utilize EBM data whose absolute number is small. <P>SOLUTION: A questionnaire concerned with risk class is performed on a client's computer 2 and response data of the questionnaire are transmitted to a server. A server computer 1 collates respondent's life styles, the contents of meals, sex, age which are written in the questionnaire with EBM paper data, extracts the EBM paper data which can be applied to determination and displays the classes and risk values of diseases shown in the data on the client's computer 2 as the diseases which may be induced in the questionnaire respondent and the determination results of the risks. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a lifestyle-related disease check system that performs a questionnaire using a computer and determines the risk (risk level) of lifestyle-related diseases for respondents of the questionnaire based on the collected response data of the questionnaire.

  Conventionally, in order to know the health status of a medical examinee, various examinations have been carried out by a medical checkup or periodic medical examination, and quantitative results and qualitative data are collected from the examination, and the examination is performed by analyzing the obtained data. It was common to judge the health status of people. However, our health and illness are not suddenly visited on a certain day, but are mostly caused by long-term lifestyles (lifestyles). As important, various proposals have been made as methods for maintaining health.

  For example, the Ministry of Health, Labor and Welfare and the Ministry of Agriculture, Forestry and Fisheries have a “Meal Balance Guide” (http://www3.gov-online.go.jp/gov), which is a guideline for meals that tell you what to eat and how much to eat. /tsushin_flash/200509/f_food_guide_s.swf). This system divides food into five groups: staple foods, side dishes, main dishes, milk / dairy products, and fruits. Depending on how much of these five groups of foods are consumed during breakfast, lunch, and dinner, Warnings and cautions are displayed as comments according to the intake.

  In addition, without using face-to-face guidance from specialists such as doctors and nurses, we collect questionnaires about the lifestyle of the examinees, analyze the collected questionnaire response data on a computer, and use the results to analyze lifestyle-related diseases. Several systems have been devised.

  For example, Patent Document 1 proposes a lifestyle-related disease guidance system that enables sick people to continuously improve lifestyle habits over a long period of time, even if specialists such as doctors and nurses do not provide face-to-face guidance. is doing.

  It also relates to fitness. Basic physical data of members including medical check questionnaires, medical science test result data, body component analysis result data by measuring instruments, and result data by counseling with doctors, registered dietitians, and trainers The physical risk is determined from the above, the exercise program according to the physical condition is prescribed to the member, and the exercise program according to the physical condition is based on the quantitative effect analysis result including the exercise memory data of the training based on the exercise program. Discloses a system for improving physical risk while re-prescribing.

  However, all of the above systems are systems in which doctors, dietitians, or instructors, etc., provide guidance on improving lifestyle-related diseases based on medical judgments based on the objective data obtained based on medical knowledge and experience. Therefore, empirical judgment and objective facts are mixed.

  In terms of scientific evidence, the concept of EBM (Evidence Based Medicine) was introduced to Japan from North America by some clinical epidemiologists since the mid-1990s. EBM is translated as “evidence-based medicine” and means “use the best treatment using information with the most reliable evidence”. With regard to EBM, many research results and papers have been published or published so far, and the results of the research have undergone experiments and investigations, so they are demonstrable.

However, it is hard to say that EBM is currently rooted in Japan. One reason for this is that EBM cannot expect to obtain accurate data unless various conditions are determined and the research is designed, but if the conditions are set strictly, the response data collected from the subjects of the questionnaire will not be obtained. There is a problem that the data of EBM research cannot be applied because it does not conform to the conditions of research data (for example, mismatch of survey age or lack of gender data). In other words, in order to use it as system data, all age groups or gender data is required, but all the data is not available, so-called data stapling occurs, or EBM data exists. There is a problem that there are few scenes in which data can be used as it is because most of the data is from foreigners. The disadvantage of EBM is that it is a statistical fact but the application conditions are too strict.
Patent Publication 2004-326328 Patent Publication 2004-355617

  In the conventional system based on the empirical judgment of doctors, dietitians, instructors, etc., when trying to use EBM data as it is as a medical basis, all age groups and gender data are collected due to strict experimental conditions. There was no problem.

  The system of the present invention is based on the data backed up by EBM research papers, makes a decision using the means presented this time, and in a format different from the judgment result based on the conventional data created based on the empirical judgment. By displaying, the greatest feature is that the system can mutually complement the advantages of empirical judgment and empirical judgment by EBM.

  According to the system of the present invention, it is possible to make a determination based on empirical judgment based on data backed up by an EBM paper, particularly “prospective study”. Therefore, it can be used as a material for the best judgment by combining with a conventional nutritional guidance system that provides guidance based on limited knowledge and personal experience of doctors, dietitians or instructors.

  The present invention performs a questionnaire on risk types such as daily lifestyle habits and meals on a computer (personal computer), determines a disease caused by the risk type for each answer data of the questionnaire, and determines the disease caused and its risk as a determination result. Is a lifestyle-related disease check system based on EBM that determines the lifestyle-related disease by outputting the value of the above by screen display and printing.

The determination of a disease and a risk value is performed based on EBM article data. EBM paper data was obtained from epidemiological papers for Japanese whose causal relationship between risk type and disease is clear. The questionnaire is composed of questions related to daily life habits and meals for extracting EBM paper data.
The system of the present invention compares EBM paper data with the respondent's lifestyle, meal content, gender, and age shown in the questionnaire, extracts EBM paper data applicable to the determination, and displays the EBM paper data in the EBM paper data. The type of disease and risk value are output as judgment results of the disease caused by the questionnaire respondent and its risk. In the present invention, the risk value means a ratio such as a mortality rate or an incidence rate between a group exposed to some factor and a control group that is not.

  The risk value is displayed as a weather mark with illustrations such as “Sunday”, “Cloudy”, “Rain”, and “Thunder”. The EBM paper data is selected from among about 1,000 articles of specialized epidemiological research papers, and papers detected by a plurality of keywords related to lifestyle-related diseases. In addition, the screen is displayed with the weather mark and related information (EBM reference display), together with the judgment result of the conventional nutritional guidance program made based on empirical values such as dietitians on the same system Can browse.

a. System configuration Fig. 1 shows the system configuration. The system of the present invention performs a questionnaire on risk types such as daily life habits and meals using a computer, determines a disease caused by the risk type for each answer data of the questionnaire, and as a determination result, the caused disease and its risk It is a system that outputs the value of and determines lifestyle-related diseases. In the following embodiment, in the relationship between a computer network server and a client, a server computer 1 as a system provider and a client computer 2 as a contractor of a medical institution such as a hospital are connected to an Internet connection line or LAN. However, it is also possible to construct a system by incorporating a storage medium into the client computer 2 as a stand-alone without using a computer network.

  The storage device 3 of the server computer 1 uses EBM question storage means 3a, 3b, question related storage means 3c, EBM answer storage means 3d, EBM paper data storage means 3e and nutrition guidance program as data storage means. In addition to the nutrition question storage means 4a, the nutrition answer storage means 4b, and the evaluation storage means 4c, it has a past questionnaire result storage means 5a in which the determination results are recorded. In the case of a stand-alone system, each storage means 3a-3e, 4a-4c, 5a of the storage device 3 and its data, and a lifestyle-related disease check program based on the EBM of the present invention are stored in a storage medium such as a CD, This is installed in the computer 2 to execute processing.

  The EBM paper data storage unit 3e stores data serving as a reference for determining a risk value.

  The present invention is a system that improves the reliability of nutritional guidance by presenting data backed by an EBM paper as a reference. As a necessary work for that purpose, the procedure for collecting data will be described with reference to the flowchart of FIG. 2 in terms of how to select a material as a basis and convert it into data.

  In FIG. 2, first, lifestyle and meals, places where the research was conducted, keywords related to the research method (alcohol, meals, beverages, nutrition, supplements, eating habits, unbalanced diets, exercise, vacation, physical activity, Select obesity, cholesterol, blood pressure, stress, health habits, health promotion, lifestyle habits, risk-reducing behavior, Japan, intervention research, cohort research, meta-analysis, multicenter (step r1). Next, the keyword is translated into English and the search condition key added is recorded as a search expression (step r2). A search expression is input on a medical paper database, for example, PubMed, and a paper including keywords related to lifestyle and meals, the place where the research was conducted, and the research method is extracted (step r3).

  From the extracted papers, further selection criteria are set and papers that meet the selection criteria are selected. The criteria for adoption are as follows.

1. Are you targeting Japanese people?
The degree of influence of eating habits on lifestyle varies depending on race.
2. Is it a prospective survey?
Prospective survey is an epidemiological survey method for examining causal relationships, and it is statistically determined whether or not the desired results were obtained by tracking multiple populations in a time series under certain conditions. The reason for the adoption of this study is that it is the most reliable survey method in epidemiological statistics.

3. Are you tracking more than 5000 person-years of adults who are not sick?
If the number of people is small, there will be a dropout in the middle of the survey, so there will be a statistical bias, and there may be no significant difference. A sufficient number of people is necessary for this purpose, but if there are too many people, a statistically significant difference is likely to occur. About 5,000 people are considered appropriate. ("There is a significant difference" is a term used in statistics, which means that a hypothesis can be adopted if the probability that the correct hypothesis is judged to be wrong is low enough).

4). Are you dealing with lifestyle that can be improved?
This is because there is no point in conducting an epidemiological survey if the lifestyle cannot be improved, and if the lifestyle-related diseases are improved, the mortality / incidence rate is reduced accordingly.
5. Is there a risk of total mortality or risk of developing or dying of lifestyle-related diseases?
It refers to “death risk from all causes” such as death from cancer or lifestyle-related diseases.
6). Are risk confidence limits shown?
Although there is a risk, statistically, confidence limits can be calculated. If there are many subjects, this range becomes narrower. In other words, it approaches the true value. As an example: 0.5 <risk <0.8.

  Is there a clear difference in the presence or absence of exposure from the papers extracted as described above? Are the compared populations similar except for exposure? , Is there a source, inclusion standard, and exclusion standard for the target person? Is there a time relationship that there is an outcome after exposure? Is there a dose-response relationship between exposure and risk? Narrow down the papers to be adopted under the above conditions.

  For each article, the purpose (the purpose of the survey (eg, the effect of alcohol consumption + hypertension on the onset of stroke)), follow-up (when the survey was conducted), and the situation (where the survey was conducted) ), Participants (number of subjects, gender, age, etc.), indicators (disease names and themes (eg, onset of cerebral infarction and cerebral hemorrhage)), results (survey results), conclusions (obtained from the survey) (Conclusion) in the form of text data (step r4), and from the summarized data, as shown in FIG. 3A, the data item I1 "EBM code", "risk type", "disease type", “Gender”, “Lower age”, “Upper age”, “Risk 1”, “Risk 1”, “Risk 2”, “Risk 2”, “Risk 3”, “Risk 3” Extract numerical data or text data according to the format The respective data is stored in EBM paper data storage means 3e for each data item (step r5).

  In the data item I1, “EBM code” is a number (code) assigned to each record of the paper data stored in the EBM paper data storage means 3e. “Risk type” refers to an item composed of the contents of questionnaire questions related to daily lifestyle habits and meals, specifically “elements causing disease”. As elements of risk type, in this embodiment, BMI, exercise, staple food, meat, fish, soybean, milk, green and yellow vegetables, fruit, salt, green tea, drinking, smoking, liver, processed meat, seaweed, isoflavone, tofu, 29 types such as miso soup, yogurt, carrot, tomato, light vegetable, orange, fruit juice, soup, pickles, coffee, tea are taken up (see FIG. 7 and FIG. 8).

  “Disease type” is an actual disease name. In this example, for women, diabetes, stomach cancer, liver cancer, colon cancer, colon cancer, rectal cancer, esophageal cancer, lung cancer, gallbladder cancer, breast cancer, bladder cancer, pancreatic cancer, cerebral hemorrhage, cerebral infarction, cardiovascular disease, Seventeen types of hypertension and hyperlipidemia are items to be determined (see FIG. 8). However, for men, 16 types excluding breast cancer are items to be determined (see FIG. 7). This is because the incidence of men with breast cancer is as low as 1/100 of that of women.

  “Gender” is the gender of the participant. It is classified into three types: male, female, and male and female. Those surveyed without gender distinction are classified as “male and female”. “Lower age” is the lower limit of the age of the participant, and “upper age” is the upper limit of the age of the participant.

  “Risk category” is a category for determining the level of risk. As a method of determining the values used in “Risk Category”, BMI values, smoking, drinking and other conditions are taken up. That is, based on the BMI value, smoking is based on the year x number of cigarettes per day, alcohol consumption is based on the amount converted to ethanol, and other times based on the number of times per week. As described above, it is divided into several stages (risks 1, 2 and 3). “Risk” is a risk value, and “risk” is recorded according to “risk classification”.

b. Procedure FIG. 4 is a flowchart of processing executed by the system of the present invention.

1). Step S1 (means for inputting questionnaire responses)
The client is a contractor such as a hospital. The client accesses the home page of the server from the client computer 2, inputs a user name (alphanumeric characters) and a password (alphanumeric characters), and moves to the screen of FIG. The hospital, which is the client, clicks on the “execute questionnaire” button b1 to enter the response data of the patient who is the subject of the questionnaire, and moves to the questionnaire question screen of FIG.

  The screen on the first page of FIG. 2. Gender (male or female), date of birth (from January 1, 1900), There are items f1 for height (120 cm to 199 cm or more), 4 weight (30 kg to 149 kg or more), and after entering all the answers to the questions on the screen, move to the next page with the “Next” button b3, Enter the answer for another question. Question items of the questionnaire include (1) questions related to profile above, (2) illness (history, family history), (3) daily life habits, (4) luxury goods, (5) daily eating habits, (6) Food intake status, (7) Fish intake status, (8) Meat intake status, (9) Soy product intake status, (10) Dairy product intake status, (11) Vegetable intake status, ( 12) Fruit intake status, (13) Salt intake status, (14) Other 14 categories.

  The EBM question storage means 3a registers information in the question column of the questionnaire related to the risk type as a table. In the example of FIG. 6, in the EBM question storage means 3a, the question item “3. Height” is recorded in the “Item” column. Category code (in this example, “1” is recorded because it is a question related to the first profile), question number, question code (in this example, “3” is recorded because it is the third question), screen The question content code (in this example, text data “Height” is recorded because it is a height question), the answer type code (the answer method is “1. Gender”) Or a select box type for selecting a numerical value such as “3. Height”, but in this example, the select box type is recorded as a response type code “1”). That.

  The EBM question storage means 3b registers information in the answer column, which is an option in the question column of the questionnaire related to the risk type, as a table. In the EBM question storage means 3b, for the question “3. Height”, in the “Item” column, the category code of the main question in the answer column (in this example, “1 ”Is recorded), the question code in which the number of the main question in the answer column is recorded (in this example,“ 3 ”is recorded because it is the third question), and the number of the answer column in the question Option code ("1" is recorded because it is the first answer field in this example. Depending on the contents of the question, a plurality of answer fields may be provided), Information such as an option (in this example, text data “cm” is recorded) indicating what unit the numerical value is in is stored.

  Further, the EBM answer storage means 3d registers questionnaire answer information as a table. In the example of FIG. 6, the question “3. Height” is displayed in the “Item” column. Answer code that stores the number in the answer field ("103" is recorded in this example), question code that records the question number (in this example, "3" is recorded because it is the third question), question The option code ("1" is recorded because it is the first answer field in this example. The system user ID of the client ("55" is recorded in this example). ), Input date of answer data (in this example, “2006.03.02”), registration date of answer data (in this example, “2006.03.02 16:10:01”), and the like are stored. Indicates state Regarding the items in the table of the EBM question storage means 3a, 3b and the EBM answer storage means 3d, the configuration of the table items has been described in the present embodiment, but the configuration of the table items is not limited to this. Absent.

  In this embodiment, the question continues, but since the screens for the second and subsequent pages are the same as those for the first page, the screens for the second and subsequent pages are not shown. Subsequent questions are accounted for by 29 types of risk types described in paragraph 0025. The system of the present invention makes a determination for each risk type.

  For example, in the case of questions related to the risk type “drinking”, the question regarding “risk type” is “how much type of alcohol do you drink per serving? Japanese sake (180ml) (0-10 or higher), shochu (180ml) ) (0-10 or more) degree, Chuhai (0-10 or more) cup, beer inside bottle (500ml) (0-10 or more) bottles, beer can (350ml) (0-10 or more) bottles, whiskey "Double (60ml) (0-10 or more) cups, Brandy Double (60ml) (0-10 or more) cups, glass wine (120ml) (0-10 or more) cups" Multiple answers may be put in the list, but most of the questions have one answer in one question. Eat many times, drink or "," breakfast, lunch, eat many times for dinner, drink or ", eat many times to" 1 week, or drink ", the distinction, such as.

When the answer data is sent after answering all the questionnaire questions, it is registered in the EBM answer storage means 3d of the computer 1 of the server.
In this embodiment, the subject of the questionnaire will be described assuming that the gender is male, the age is 38, and the BMI is 22.0. Further, the processing from step S2 to step S8 described below will be described as processing for the risk type “BMI” and the disease type “diabetes” for “height” of question 3 and “weight” of question 4. .

2). Step S2 (means for extracting records from the EBM paper data storage means, (risk type selection (BMI, exercise, staple food, tobacco)))
For each question of the questionnaire, an EBM code (1, 2, 3, etc.) is stored for each record in the EBM paper data storage means 3e. The question relation storage means 3c stores data associating each question of the questionnaire with which record of the EBM paper data storage means 3e. For example, if the paper is related to “BMI”, “3” is assigned to the question code.

In the example of FIG. 6, the paper “1” related to “BMI” stored in the EBM paper data storage unit 3e is assigned to the “height” of the question 3 as the EBM code in the question related storage unit 3c. The code is assigned “3” which is the code of the questionnaire question.
It is assumed that the BMI value of the questionnaire target person has already been calculated from “Height” of Question 3 and “Weight” of Question 4.

  First, in step 2, after reading the EBM code of the question to be determined from the question related storage means 3c, the record having the same EBM code as this EBM code is read from the EBM paper data storage means 3e, and then read. A record that matches the risk type code of the record is extracted from the EBM paper data storage means 3e shown in FIG. FIG. 3B shows that the risk type code “BMI” is processed when answer data “1” of the “EBM code” of the question 3 and the risk type code “BMI” are processed from the state of FIG. In this example, records R1 to R4 including “are selected. For convenience of explanation, the risk type code is expressed as character data “BMI”, but the actual data is stored as integer data (“1”, “2”, etc.).

3). Step S3 (Means for extracting disease records to be judged (disease selection (stomach cancer, cerebral infarction, cardiovascular disease, etc.))
A record of a disease to be determined is extracted from the records extracted in step 2. FIG. 3C is an example in which records R1 to R3 including the disease type code “diabetes” are extracted from the state of FIG.

4). Step S4 (means for extracting records corresponding to the sex of the target person of the questionnaire)
From the records extracted in step 3, a record corresponding to the sex of the target person of the questionnaire is extracted. In the state of FIG. 3C, since the “sex” of the records R1 to R3 are all “male”, the records R1 to R3 are extracted as they are. If there is no record corresponding to the subject's gender, the opposite or the gender-specific gender record is extracted as applicable data.

  In this example, to extract the record of the opposite gender here, if the subject of the survey is a male, the “gender” column in item I1 is the female record of “female” To extract. In addition, extracting the records of all men and women is extracting the records in which the “sex” column of the item I1 is “male and female”.

5). Step S5 (means for extracting records corresponding to the age of the target person of the questionnaire)
A record corresponding to the age of the target person of the questionnaire is extracted from the records extracted in step 4. As shown in FIG. 3D, in the present male example, records R1 to R2 including the age of 38 are extracted as records including “diabetes”. If there is no record corresponding to the age of the target person, the record of the nearest age group is extracted as reference material.

6). Step S6 (means for selecting risk categories and risk values that fall within the range of response data)
With reference to the record extracted in step 5 and the response data, a risk category and a risk value that fall within the range of the response data are selected. In FIG. 3D, in the present male example, the BMI is 22.0, which falls within the range of the risk 3 category, the risk 3 value 0.72 of the record R1 and the risk 3 of the record R2 A numerical value of 0.63 is selected.

7). Step S7 (when multiple risk values are selected)
In addition, when there are a plurality of risk categories and risk values obtained by the risk value extraction process, the one with the lower risk value is selected. Depending on the EBM paper, the risk may be different under nearly the same conditions. In the present invention, in such a case, “the worse one is displayed” in order to call attention to life and be able to perform life guidance. In the present male example, a numerical value of 0.72 for risk 3 is selected as shown in FIG.

8). Step S8 (means for converting to "weather mark" and outputting, means for outputting in tabular list)
In the upper part of the screen of FIG. 7, there is a table T1 as “About EBM” with 28 risk types as a horizontal axis and 17 disease types as a vertical axis. The risk values selected in step 6 or step 7 are stored in the first weather mark display areas ea1, ea2... Ea29... Eo1. Among them, the risk type and the disease type for which the determination process is being performed are stored at the intersection. In this embodiment, since the risk type “BMI” and the disease type “diabetes” are processed, the risk value is stored in the area ea1. The stored risk value is converted into a weather mark of an illustration such as “Sunday”, “Cloudy”, “Rain”, “Thunder”, etc., and displayed for easy understanding as a risk level. As for the relationship between the risk value and the weather mark, “Sunday” has a risk value of less than 1.0, “Cloudy” has a risk value of 1.0 to less than 1.5, and “Rain” has a risk value of 1. 5 or less and less than 2.0, “Thunder” is treated as having a risk value of 2.0 or more. Risks include “risk of onset” and “death risk”, but when displayed, expressions such as “death” are not good impressions for life guidance software. "" Is not distinguished, and both "onset" and "death" are displayed as "risk".

Further, in the table of “About EBM” in FIG. 8, a sunday mark is displayed in the weather mark display area ea13 where “diabetes” intersects, but unlike the other weather mark display areas, the background of the mark is It is filled with a certain color. This is the case where there is no record that matches the same gender as the survey target person (for example, female), and the weather mark is used to refer to the risk value of the opposite gender (in this case, male). When displayed, the background is converted to a “blue” color.
In addition, if there is no record corresponding to the same age as the target person and the risk value of the record of the nearest age is referred (for example, a person of 70 years old refers to data of 40 << 50 years old), a background display is displayed. It is converted to “orange” color and shown.
In addition, if there is no record that matches the same gender as the target person, there is no record of the opposite gender and the same age, and the risk value of the record of the nearest age group is referenced, the background display is Shown converted to "green" color.

  Also, below the table T1, a table T2 composed of “EBM comments”, “survey item”, “condition closest to you”, and “RR level” (relative risk) is displayed. . The survey items include the risk type of the corresponding record, the gender and age of the record that is close to the condition that is closest to you, and the weather that is converted based on the risk level value for the RR level. The mark is stored in the second weather mark display area ep1, ep2, ep3, and the stored value is displayed.

9). Steps S9 and S10 (repeat processing)
The process from step S2 to step 8 is first repeated by the number of risk types for one disease type (step S9). In the table of “About EBM” in FIG. 7, since the first disease type is diabetes, processing is performed in the order of (BMI, diabetes) and (exercise, diabetes). Next, the number of risk types is repeated for the next disease type. Since the next disease type is stomach cancer, processing is performed in the order of (BMI, stomach cancer) and (exercise, stomach cancer). In this way, all the disease types are processed (step S10), and the final determination result is displayed on the client monitor.

  In the present invention, the server computer collates the respondent's lifestyle, meal content, gender, and age shown in the questionnaire with the EBM paper data, extracts EBM paper data applicable to the determination, and extracts the paper data. The disease type and risk value shown in the above are displayed on the client's computer as the judgment result of the disease and risk caused by the questionnaire respondent, and the displayed judgment result is based on the EBM paper data with the basis High reliability. In addition, the materials used for the judgment are not only the sex of the respondent of the questionnaire, the disease and its risk that match the current age, but also the material that is older than the gender and age, Furthermore, even if there is a difference between men and women as judgment material at the time of aging, since it can be actively used as reference material, it is possible to effectively use a small amount of EBM data.

c. Cooperation with Nutrition Guidance Program The processing contents of the system of the present invention have been described above. By viewing the weather mark display results as the same system together with the judgment results of nutritional guidance programs made based on empirical values of conventional dietitians, etc., it is possible to give clearer guidance to the examinee It becomes. Although FIG. 10 shows an example of the determination result screen of the nutritional guidance program, the example of the screen is not limited to this in the present invention.

(C-1). Example of Nutrition Guidance Program Screen Configuration FIG. 10 is an example of a lifestyle-related disease guidance table. The lifestyle-related disease guidance table is a profile table T3 composed of 5 items of consultation number, name, gender, date of birth, date of consultation, and body table T4 composed of 4 items of height, weight, BMI and ideal weight. And the graph (number), the disease name, the evaluation point for the patient's eight lifestyle-related diseases (diabetes, cancer, cerebral hemorrhage, cerebral infarction, cardiovascular disease, obesity, hypertension, hyperlipidemia) Comprehensive evaluation table T5 in the format, comprehensive evaluation chart T6 for expressing the results of the comprehensive evaluation table T5 as a comprehensive evaluation chart with a laser chart, and a nutrition comment table T7 composed of two items of related disease names and nutrition comments A configured example is shown.

(C-2). When the button b4 in FIG. 7 is clicked, the human body diagram screen in FIG. 9 is displayed, and more detailed information can be obtained from FIG. In the example of the human body diagram of FIG. 9, the state of each part of the body of the brain, esophagus, lung, heart, liver, gallbladder, pancreas, stomach, large intestine, colon, rectum, and bladder is displayed as a weather mark. The display of the weather mark here corresponds to the risk value obtained by the lifestyle-related disease check program based on the EBM of the present invention.

(C-3). Display of Questions Relating to Nutrition Guidance Program Since the present invention is a program that reinforces the conventional nutrition guidance program, the details of the processing of the nutrition guidance program are omitted, but the system of the present invention Then, as shown in FIG. 1, the nutrition question storage means 4a that stores the question contents about nutrition guidance, the nutrition answer storage means 4b that stores the answer to the question, and the evaluation storage means 4c that stores the evaluation points and nutrition comments. It is stored in the device 3.

  The tables used in the nutritional question storage unit 4a and the nutritional answer storage unit 4b have almost the same configuration as the EBM question storage unit 3a and the EBM answer storage unit 3d. Therefore, when conducting a questionnaire, the EBM question storage is performed as necessary. The contents of the question can be read out from the means 3a or the nutrition question storage means 4a, and the question can be displayed on the same screen. The subject of the questionnaire is a lifestyle nutrition disease check program based on the conventional nutrition instruction program and the EBM of the present invention. There is no separate awareness. The answers to the questionnaire are stored in the EBM answer storage means 3d on the lifestyle-related disease check program side based on the EBM of the present invention or the nutrition answer storage means 4b on the nutrition guidance program side in accordance with the read question contents.

d. Past questionnaire result storage means Response data of questionnaires conducted in the past and questionnaire determination results are recorded in the past questionnaire result storage means 5b. When it is desired to refer to the result, the button b2 in FIG. 5 is clicked to access the past execution history screen of the questionnaire in FIG. By clicking the browse button b5 on the implementation date that you want to refer to, you can browse EBM comments, nutrition comments, and human body diagrams. As described above, in the embodiment, it can be used as a stand-alone system of one computer without going through a computer network.

  The EBM has a problem that due to the rigorous nature of the experimental design, the range in which the experimental results can be applied is narrow, and the field of utilizing the experimental results obtained is limited. Like the system, in the field of health guidance, that is, guidance and determination of lifestyle-related diseases, EBM paper data can be applied after clearly indicating the adaptation conditions. It can be used as a system that cooperates with conventional nutrition guidance and exercise guidance systems that provide guidance based on the personal knowledge and experience of a dietitian or instructor, etc. Also, the method of using the EBM as in the present invention is provided. By doing so, the use of EBM data can be expected to become generalized and spread.

It is a figure which shows the structure of this invention. It is a flowchart which shows the process of paper extraction. (A) is a figure which shows the structure of an EBM paper data storage means, (b)-(e) is a figure which shows the example from which a record is selected by the system of this invention. It is a flowchart which shows the process of the system of this invention. It is a figure which shows the example of the initial screen of a system. It is a figure which shows the image by which the answer of a questionnaire is recorded on an EBM answer storage means and a nutrition guidance program answer storage means. It is a figure which shows the example which displayed the determination result of the man on the screen. It is a figure which shows the example which displayed the determination result of the woman on the screen. It is a figure which shows the example of a human body figure screen. It is a figure which shows the example of the screen of the determination result of a nutrition guidance program. It is a figure which shows the example of the screen of the past implementation history of a questionnaire.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Server computer 2 Client computer 3 Storage device 3a, 3b EBM question storage means 3c Question related storage means 3d EBM answer storage means 3e EBM paper data storage means 4a Nutrition question storage means 4b Nutritional answer storage means 4c Evaluation storage means 5a Past Questionnaire result storage means

Claims (10)

Conduct a questionnaire on risk types such as daily lifestyle and meals, determine the disease caused by the risk type for each answer data of the questionnaire, and output the value of the caused disease and its risk as a result of the determination. To make a decision,
EBM question storage means for storing the question contents of the questionnaire related to the risk type in advance,
A way to enter survey responses,
EBM answer storage means for storing answers to questionnaires,
EBM paper data storage means for storing data for preliminarily determining a disease caused by a risk type and its risk value;
Question-related storage means for storing a question code in which the order of questionnaire questions is registered in advance, and an EBM code that associates with which record of the article data storage means the questionnaire question is related,
After reading the EBM code of the question to be determined from the question-related storage means, a record having the same EBM code as this EBM code is read from the EBM paper data storage means, and a record that matches the risk type code of the read record Means for extracting from the EBM article data storage means;
Means for extracting a record of a disease to be determined from the records extracted from the EBM paper data storage means;
Means for extracting records corresponding to the sex of the target person of the questionnaire from the extracted records of diseases to be judged,
A means for extracting records corresponding to the age of the target audience of the survey from the records corresponding to the sex of the target audience of the extracted questionnaire,
Means for referring to the record corresponding to the age of the extracted questionnaire target person and the questionnaire response data recorded in the EBM answer recording means, and selecting a risk category and risk value that fall within the range of the answer data;
The selected risk value is stored in the first weather mark display area of the table with the risk type item on the horizontal axis and the disease type item on the vertical axis, and the stored risk value is used as the risk level. ”,“ Cloudy ”,“ Rain ”,“ Thunder ”, etc.
Means for storing the risk type and gender, age and risk level values of the selected record in the second weather mark display area, and outputting the stored values in a tabular list;
Past questionnaire result storage means for storing the output judgment result of the questionnaire,
A lifestyle-related disease check program based on EBM. Conduct a questionnaire on risk types such as daily lifestyle and meals, determine the disease caused by the risk type for each answer data of the questionnaire, and output the value of the caused disease and its risk as a result of the determination. To make a decision,
EBM question storage means for storing the question contents of the questionnaire related to the risk type in advance,
A way to enter survey responses,
EBM answer storage means for storing answers to questionnaires,
EBM paper data storage means for storing data for preliminarily determining a disease caused by a risk type and its risk value;
Question-related storage means for storing a question code in which the order of questionnaire questions is registered in advance, and an EBM code that associates with which record of the article data storage means the questionnaire question is related,
After reading the EBM code of the question to be determined from the question-related storage means, a record having the same EBM code as this EBM code is read from the EBM paper data storage means, and a record that matches the risk type code of the read record Means for extracting from the EBM article data storage means;
Means for extracting a record of a disease to be determined from the records extracted from the EBM paper data storage means;
Means for extracting records corresponding to the sex of the target person of the questionnaire from the extracted records of diseases to be judged,
A means for extracting records corresponding to the age of the target audience of the survey from the records corresponding to the sex of the target audience of the extracted questionnaire,
Means for referring to the record corresponding to the age of the extracted questionnaire target person and the questionnaire response data recorded in the EBM answer recording means, and selecting a risk category and risk value that fall within the range of the answer data;
The selected risk value is stored in the first weather mark display area of the table with the risk type item on the horizontal axis and the disease type item on the vertical axis, and the stored risk value is used as the risk level. ”,“ Cloudy ”,“ Rain ”,“ Thunder ”, etc.
Means for storing the risk type and gender, age and risk level values of the selected record in the second weather mark display area, and outputting the stored values in a tabular list;
Past questionnaire result storage means for storing the output judgment result of the questionnaire,
A computer-readable storage medium storing a lifestyle-related disease check program based on EBM for functioning as a computer. Conduct a questionnaire on risk types such as daily lifestyle and meals, determine the disease caused by the risk type for each answer data of the questionnaire, and output the value of the caused disease and its risk as a result of the determination. A system for determining
EBM question storage means for storing the question contents of the questionnaire related to the risk type in advance,
A way to enter survey responses,
EBM answer storage means for storing answers to questionnaires,
EBM paper data storage means for storing data for preliminarily determining a disease caused by a risk type and its risk value;
Question-related storage means for storing a question code in which the order of questionnaire questions is registered in advance, and an EBM code that associates with which record of the article data storage means the questionnaire question is related,
After reading the EBM code of the question to be determined from the question-related storage means, a record having the same EBM code as this EBM code is read from the EBM paper data storage means, and a record that matches the risk type code of the read record Means for extracting from the EBM article data storage means;
Means for extracting a record of a disease to be determined from the records extracted from the EBM paper data storage means;
Means for extracting records corresponding to the sex of the target person of the questionnaire from the extracted records of diseases to be judged,
A means for extracting records corresponding to the age of the target audience of the survey from the records corresponding to the sex of the target audience of the extracted questionnaire,
Means for referring to the record corresponding to the age of the extracted questionnaire target person and the questionnaire response data recorded in the EBM answer recording means, and selecting a risk category and risk value that fall within the range of the answer data;
The selected risk value is stored in the first weather mark display area of the table with the risk type item on the horizontal axis and the disease type item on the vertical axis, and the stored risk value is used as the risk level. ”,“ Cloudy ”,“ Rain ”,“ Thunder ”, etc.
Means for storing the risk type and gender, age and risk level values of the selected record in the second weather mark display area, and outputting the stored values in a tabular list;
Past questionnaire result storage means for storing the output judgment result of the questionnaire,
A lifestyle-related disease check system based on EBM. Means for extracting records corresponding to the sex of the target person of the questionnaire,
If there is no record that matches the gender of the survey audience, a means to select the opposite or gender-specific gender record applicable to the decision,
Means for designating the background of the first weather mark display area and the second weather mark display area to be displayed in blue;
A lifestyle-related disease check system based on the EBM according to claim 3. Means for extracting records corresponding to the age of the target person of the questionnaire,
If there is no record corresponding to the age of the survey target person, a means to extract the record of the closest age applicable to the determination,
Means for designating the background of the first weather mark display area and the second weather mark display area to be displayed in orange;
A lifestyle-related disease check system based on the EBM according to claim 3. Means for selecting a risk category and a risk value that fall within the range of the response data,
4. A lifestyle disease check based on EBM according to claim 3, further comprising means for selecting a risk value having a worse risk value as a determination result value when there are a plurality of risk categories and risk values. system. The means for storing the data of the EBM paper data storage means is:
A way to select keywords related to lifestyle-related diseases,
A means to create a search expression to search for articles from keywords,
A means to search for articles from the article database based on the search formula,
4. Based on the EBM according to claim 3, including means for extracting a numerical value from the paper and coding each of the risk type, disease type, sex, age, risk classification, and risk value and storing them in the EBM paper data storage means Lifestyle-related disease check system. The determination of the disease and risk value is performed based on EBM article data,
The EBM paper data is a research paper on EBM that has a clear causal relationship between the risk type and the disease, and is a numerical result.
4. The lifestyle-related disease check system based on EBM according to claim 3, wherein the questionnaire is composed of questions about daily lifestyle and meals for extracting the EBM paper data.   The computer compares the respondent's lifestyle, meal content, gender, and age with the EBM paper data, extracts EBM paper data applicable to the determination, and the type of disease indicated in the paper data The lifestyle-related disease check system based on the EBM according to claim 3, wherein the risk value is output as a determination result of a disease caused by a questionnaire respondent and a risk thereof. Conduct a questionnaire on risk types such as daily lifestyle and meals, determine the disease caused by the risk type for each answer data of the questionnaire, and output the value of the caused disease and its risk as a result of the determination. A system for determining
The client computer
Means for inputting answers to the questionnaire;
Means for transmitting questionnaire response data to a server via an Internet connection line or LAN;
Means for outputting the weather mark,
The server computer
The EBM question storage means, the EBM answer storage means, the EBM paper data storage means, the question related storage means, the past questionnaire result storage means, the means for extracting each record, and the determination result as an Internet connection line or LAN. The lifestyle disease check system based on the EBM according to any one of claims 3, 4, 5, and 6, further comprising means for transmitting to a client computer via the EBM.