JP2010250489A - Metabolic syndrome improvement information arithmetic system, program for the system, and recording medium with the program recorded thereon - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a metabolic syndrome improvement information arithmetic system for calculating/displaying individual metabolic syndrome improvement information from medical checkup information. <P>SOLUTION: The metabolic syndrome improvement information arithmetic system is provided with: a database storing metabolic-syndrome improvement knowledge having an improvement rate that shows the rate of improvement from a metabolic syndrome patient/patient-to-be for each metabolic syndrome patient/patient-to-be, weight reduction, and change in lifestyle; a medical checkup determination part for determining a metabolic-syndrome level showing whether a user is a metabolic syndrome patient or is a patient-to-be, and determining lifestyle improvement items as the bad lifestyle of the user from the medical checkup result of the user; a lifestyle item sort part for acquiring the improvement rate for each lifestyle improvement item corresponding to the metabolic-syndrome level and target weight reduction from the metabolic-syndrome improvement knowledge, and for sorting the lifestyle improvement items in the descending order of the improvement rate for each lifestyle item; an improvement rate selection part for acquiring the improvement rate corresponding to the metabolic-syndrome level, the target weight reduction and the lifestyle improvement target from the metabolic-syndrome improvement knowledge; and an output part for outputting the lifestyle improvement items and the improvement rate. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a metabolic syndrome improvement information calculation system that calculates and displays guidance information for improving metabolic syndrome from analysis results of medical examination information.

  There is a system that supports health guidance by analyzing health checkup information accumulated in health checkup facilities and presenting the risk of occurrence of abnormal test values such as hypertension based on the results. For example, in Patent Document 1, risk knowledge is calculated by calculating a risk of occurrence of an abnormal test value for each test value rank, age class, lifestyle pattern, and family history. And the system which calculates | requires and calculates | requires the test value abnormality occurrence risk applicable to the medical checkup result of the guidance subject from the risk knowledge is introduced.

JP 2002-183647 A

In addition to visceral fat obesity, hyperglycemia, dyslipidemia, and hypertension are known as metabolic syndrome, which is known to have a high risk of developing diseases such as ischemic heart disease and cerebrovascular disease. . According to a survey by the Ministry of Health, Labor and Welfare's Work-related Diseases Comprehensive Countermeasure Research Group, there are two risk factors for obesity, hyperglycemia, dyslipidemia, and hypertension. They are all reported to be about 6 times and 36 times higher than normal (no risk factor), respectively. For this reason, the Ministry of Health, Labor and Welfare has been subject to metabolic syndrome (visceral fat-type obesity, hyperglycemia, dyslipidaemia, hypertension (at least 3 risk factors)) and its spare group (visceral fat-type obesity, and , High blood sugar, lipid abnormalities, hypertension (one risk item (2 risk factors)) has been started, and health checkup and health guidance measures have been started. It is important to provide guidance and provide effective information for improvement.
However, the above-mentioned conventional technology is a system that calculates and displays the risk (deterioration risk) of abnormal test values such as hypertension for people whose test values are normal but whose habits are not normal, such as those with poor test values. However, there is a problem that it is difficult to perform guidance by calculating and displaying effective guidance information for improving metabolic syndrome for those who are already in the metabolic syndrome and who have a test value abnormality.
Therefore, the present invention provides a metabolic syndrome improvement information calculation system that calculates and displays effective guidance information for improving metabolic syndrome based on the results of analyzing the medical examination information of persons / preliminary groups of metabolic syndrome. For the purpose.

  In order to achieve the above object, the present invention is a metabolic syndrome improvement information calculation system that presents information for improving individual metabolic syndrome, and includes a user's health check result, target weight loss, lifestyle From the input section to input the improvement target and the medical examination information for the two years of the above-mentioned medical examination results for multiple people, metabolic syndrome applicable, by reserve group, by weight loss, by lifestyle change, applicable by metabolic syndrome An improvement rate, which is a rate of improvement from the reserve group, is calculated, and the metabolite that corresponds to the metabolic syndrome or the reserve group is calculated from the database in which the created metabolic syndrome improvement knowledge is stored and the user's medical examination result input to the input unit. A health check result determination unit that determines a level and a lifestyle improvement item that is a bad lifestyle of the user; From the knowledge, obtain the improvement rate for each lifestyle improvement item according to the metabolic level and the target weight loss input to the input unit, the lifestyle improvement order from the highest improvement rate for each lifestyle item Improvement item sorting unit for sorting improvement items, and improvement rate for acquiring the improvement rate corresponding to the metabolic rate, the target weight loss input to the input unit, and the lifestyle improvement target, from the metabo improvement knowledge A selection unit; and an output unit that outputs the lifestyle improvement items sorted by the improvement item sorting unit and the improvement rate acquired by the improvement rate selection unit.

  Further, the present invention further extracts, as a configuration for creating the metabolic improvement knowledge, medical examination information for two years of the metabolic syndrome corresponding / preliminary group from the medical examination information, and after one year, the metabolic Based on the metabolite / preliminary group extraction unit that determines whether there has been an improvement from the metabolic syndrome / preliminary group, whether it has improved from the corresponding / syndrome group, and the two years of medical examination information for the metabolic syndrome / preliminary group The weight loss amount calculation unit for calculating the weight loss amount of the metabolic syndrome subject person / preliminary group, and the metabolic syndrome relevant / preliminary group lifestyle change from the medical syndrome information of the metabolic syndrome relevant / preliminary group for two years Statistically analyze the relationship between the lifestyle change calculation unit to calculate, the lifestyle change and the presence / absence of improvement from the metabolic group / preliminary group. A contribution calculation unit that calculates a contribution to improvement from the metabo corresponding / preliminary group of lifestyle changes, a knowledge item selection unit that selects a lifestyle change knowledge item that is a lifestyle change with a high contribution, and For each metabolic syndrome relevant / preliminary group, the improvement ratio indicating the ratio of the weight loss and the lifestyle change knowledge item value and the ratio of the number of improvers from the metabolic syndrome relevant / preliminary group to the combination is calculated. It has a metabo improvement rule creation part.

  Further, the present invention is further characterized in that the database includes, in addition to the metabolic improvement knowledge, an average change in each test value by metabolic syndrome corresponding / preliminary group, weight loss, and lifestyle change from the medical examination information. The test value improvement knowledge created is calculated and stored, the metabo level acquired from the test value improvement knowledge, the target weight loss input to the input unit, the lifestyle improvement target An estimated test value calculation unit that calculates each estimated test value from the corresponding average change amount of each test value and each current test value input to the input unit, and the output unit improves the lifestyle habits In addition to the items and the improvement ratio, each estimated inspection value calculated by the estimated inspection value calculating unit is output.

  Further, the present invention is further configured as a configuration for creating the test value improvement knowledge, the amount of test value change of the metabolic syndrome subject person / preliminary group from the medical examination information of the metabolic syndrome relevant / preliminary group for two years The test value change amount calculating unit for calculating the average value of the test value change amount for the combination of the weight loss amount and the lifestyle change knowledge item for each of the metabolic syndrome corresponding / preliminary groups It has a test value improvement rule creation unit for calculating.

  In the present invention, the user's health check result input to the input unit includes gender, waist circumference, fasting blood glucose, neutral fat, HDL cholesterol, systolic blood pressure, diastolic blood pressure, meal amount, periodic The presence or absence of strong exercise habits, the presence or absence of strong exercise habits, the amount of drinking, and the number of days off.

  The metabolic syndrome improvement information calculation system of the present invention is connected to a health checkup system that performs reservation and management of health checkup, health information management, etc., and acquires a checkup result from the checkup system. is there.

  In addition, the metabolic syndrome improvement information calculation system of the present invention is connected to a health guidance system that performs reservation and management of health guidance, management of action targets of health guidance subjects, etc., and target weight loss, lifestyle improvement The target item is provided as action target information to the health guidance system.

  Furthermore, the present invention relates to a program for causing a computer to function as each of the above-described means, or a computer-readable recording medium on which these programs are recorded.

  According to the present invention, to create improvement knowledge that is the result of analyzing the medical examination information of the metabolic syndrome subject person / reserve group, based on this improvement knowledge, by metabolic syndrome subject person / reserve group, by weight loss, Since the improvement rate (improvement rate from metabolic syndrome / preliminary group) is calculated and displayed when lifestyle habits are improved, weight loss and lifestyle improvement items with a high improvement rate are classified by metabolic syndrome subject / preliminary group. Can present. Therefore, according to the present invention, it is possible to calculate and display effective instruction information for improving metabolic syndrome.

1 is a diagram illustrating a configuration example of a metabolic syndrome improvement information calculation system according to a first embodiment of the present invention. The figure which shows an example of the test | inspection information in the medical examination information which the medical examination information management part in Example 1 manages. The figure which shows an example of the lifestyle information in the medical examination information which the medical examination information management part in Example 1 manages. The figure which shows an example of the weight change and lifestyle change information which the medical examination information management part in Example 1 manages. FIG. 6 is a diagram illustrating an example of contribution degree information managed by a contribution degree information management unit according to the first embodiment. 6 is a diagram illustrating an example of metabolic syndrome improvement knowledge managed by an improvement knowledge management unit in Embodiment 1. FIG. 3 is a flowchart illustrating an example of a flow of processing for creating improvement knowledge from medical examination information according to the first embodiment. FIG. 6 is a diagram illustrating an example of a medical examination result input screen displayed on the output unit according to the first embodiment and illustrates a state before input. FIG. 6 is a diagram illustrating an example of a medical examination result input screen displayed on the output unit of the first embodiment, and illustrates an example of a case where a medical examination result of a person corresponding to Metabo is input. FIG. 6 is a diagram illustrating an example of an improvement information display screen displayed on the output unit according to the first embodiment, and illustrates an example of a screen that is displayed first after inputting a medical examination result of a person who is affected by Metabo. FIG. 10 is a diagram illustrating an example of an improvement information display screen displayed on the output unit according to the first embodiment, and illustrates an example of a screen displayed after inputting a target weight loss amount of 1 to 2 kg of a person who is affected by Metabo. FIG. 10 is a diagram illustrating an example of an improvement information display screen displayed on the output unit according to the first embodiment, and illustrates an example of a screen displayed after inputting a target weight loss amount of 3 kg or more for a metabo subject person. FIG. 10 is a diagram illustrating an example of an improvement information display screen displayed on the output unit according to the first embodiment, and illustrates an example of a screen displayed after inputting a target weight loss amount and lifestyle improvement target items of a person who corresponds to Metabo. FIG. 6 is a diagram illustrating an example of a medical examination result input screen displayed on the output unit of the first embodiment, and illustrates an example when a medical examination result of the metabo preliminary group is input. FIG. 6 is a diagram illustrating an example of an improvement information display screen displayed on the output unit according to the first embodiment, and illustrates an example of a screen that is first displayed after inputting a medical examination result of the metabo preliminary group. FIG. 10 is a diagram illustrating an example of an improvement information display screen displayed on the output unit according to the first embodiment, and illustrates an example of a screen displayed after a target weight reduction amount of 3 kg or more in the metabo reserve group is input. FIG. 10 is a diagram illustrating an example of an improvement information display screen displayed on the output unit according to the first embodiment, and illustrates an example of a screen displayed after inputting a target weight loss amount and a lifestyle improvement target item of the metabo reserve group. 5 is a flowchart illustrating an example of a flow of processing for displaying improvement information from a medical examination result input of a guidance target person according to the first embodiment. FIG. 3 is a sequence diagram illustrating an example of exchange between a metabolic syndrome improvement information calculation terminal and a database in the first embodiment. The figure which shows the example of 1 structure of the metabolic syndrome improvement information calculation system of Example 2 of this invention. FIG. 10 is a diagram illustrating an example of test value change information managed by a medical examination information management unit according to the second embodiment. FIG. 10 is a diagram illustrating an example of improved knowledge managed by an improved knowledge management unit according to the second embodiment. 9 is a flowchart illustrating an example of a flow of processing for creating improvement knowledge from medical examination information according to the second embodiment. FIG. 10 is a diagram illustrating an example of an improvement information display screen displayed on the output unit according to the second embodiment, and is a diagram illustrating an example of a screen that is first displayed after inputting a medical examination result of a person concerned with Metabo. FIG. 10 is a diagram illustrating an example of an improvement information display screen displayed on the output unit according to the second embodiment, and a diagram illustrating an example of a screen displayed after inputting a target weight loss amount of 3 kg or more for a metabo subject person. FIG. 10 is a diagram illustrating an example of an improvement information display screen displayed on an output unit according to the second embodiment, and is a diagram illustrating an example of a screen displayed after inputting a target weight loss amount and lifestyle improvement target items of a person who is affected by metabolite. 9 is a flowchart showing an example of a flow of processing for displaying improvement information from a medical examination result input of a guidance subject in Example 2. The figure which shows the example of 1 structure of the metabolic syndrome improvement information calculation system of Example 3 of this invention. The figure which shows an example of the action target information which the health guidance system manages in Example 3.

  An embodiment of a metabolic syndrome improvement information calculation system to which the present invention is applied will be described.

Example 1 of the present invention will be described in detail with reference to the drawings. In the following description, it is assumed that information for improving metabolic syndrome is presented to the metabolic syndrome subject person / preliminary group to support health guidance.
The metabolic syndrome improvement information calculation system according to the first embodiment of the present invention includes a CPU, a memory, and a storage medium. The storage medium is, for example, a nonvolatile storage medium, and includes a magnetic disk, a nonvolatile memory, or the like, and stores a program that realizes the metabolic syndrome improvement information calculation system, a result calculated by the metabolic syndrome improvement information calculation system, and the like. The memory expands a program stored in the storage medium. The CPU executes a program expanded in the memory. Processing and operations described below are executed by the CPU.

  FIG. 1 is a diagram illustrating a configuration example of the metabolic syndrome improvement information calculation system according to the first embodiment of the present invention. The metabolic syndrome improvement information calculation system includes a metabolic syndrome improvement information calculation terminal 101 and a database 106. The metabolic syndrome improvement information calculation terminal 101 includes an input unit 102, an improvement information creation unit 103, an output unit 104, and an improvement knowledge creation unit 105. The input unit 102 is a mouse and a keyboard. The output unit 104 is a display that outputs the result calculated by the metabolic syndrome improvement information calculation terminal 101.

The improvement knowledge creation unit 105 includes a metabo hit / preliminary group extraction unit 112, a weight loss calculation unit 113, a lifestyle change calculation unit 114, a contribution calculation unit 115, a knowledge item selection unit 116, and a metabo improvement rule creation unit 117. .
Metabolite / preliminary group extraction unit 112 corresponds to metabolic syndrome (hereinafter referred to as `` metabo '') in the first year from the health examination information (examination information, lifestyle habit information, etc.) for two years entered by the input unit 102 The health checkup information of the person who has been or who was in the metabo preliminary group is extracted, and further, whether or not the metabolite / preliminary group has improved in the second year is determined individually.
The weight loss amount calculation unit 113 obtains the weight of the first year and the weight of the second year from the medical examination information of the subject subject to metabolic syndrome and the preliminary group, and the value obtained by subtracting the weight of the second year from the weight of the first year The amount of weight loss is calculated for each individual.
The lifestyle change calculation unit 114 obtains interview results (for 2 years) of dietary habits such as meal amount and exercise from the health checkup information of persons with metabo and the reserve group, and changes in the amount of meal (improvement: more in the first year) → not much in the second year, unimproved: more than the first year → more than the second year), exercise habits change (improvement: no first year → second year, unimproved: no first year → second year) The change of each lifestyle habit is calculated for each individual.
The contribution degree calculation unit 115 statistically analyzes the relationship between each lifestyle change and the improvement from the metabo corresponding / preliminary group, and calculates the contribution degree and the reliability of each lifestyle change to the improvement of the metabolic syndrome.
The knowledge item selection unit 116 selects a lifestyle change item that significantly contributes to the improvement of the metabolic rate from the contribution degree and the reliability of each lifestyle change.
The metabo improvement rule creation unit 117 determines whether the value of the selected lifestyle change item (e.g., change in dietary amount, change in exercise habits), the combination of the subject of the metabolic syndrome or the reserve group, and the combination pattern of the weight loss amount from the metabo corresponding / preliminary group. Comprehensively calculate the improvement ratio (number of improvers / applicable people). Then, improvement knowledge having a plurality of metabo improvement rules including the values of the metabo corresponding person / preliminary group, the weight loss amount, the lifestyle change item and the improvement ratio from the metabo corresponding / preliminary group is created.

The improvement information creation unit 103 includes a medical examination result determination unit 107, an improvement item sorting unit 108, and an improvement ratio selection unit 109.
The health check result determination unit 107 determines the metabo corresponding person or the preliminary group (metabo level) from the health check result of the person to be trained input by the input unit 102, and further, the lifestyle that is a bad lifestyle of the person Determine improvement items.
The improvement item sorting unit 108 is an improvement based on the knowledge of improvement, the combination of the target body weight loss input by the input unit 102 and the target body weight loss input from the instructor's metabo level (metabo subject or preliminary group) The ratio (the improvement ratio from the metabo / preliminary group) is acquired, and the lifestyle improvement items are rearranged in descending order of the improvement ratio and displayed on the output unit 104.
From the improvement knowledge, the improvement rate selection unit 109 determines the improvement rate corresponding to the target subject's metabolic rate, the target body weight loss input as an action target in the input unit 102 and the lifestyle improvement target item (from the metabo corresponding / preliminary group) The improvement ratio) is acquired and displayed on the output unit 104.

The database 106 includes a medical examination information management unit 119, a contribution information management unit 120, and an improved knowledge management unit 122.
The health examination information management unit 119 manages the health examination information input by the input unit 102, the weight loss calculated by the weight loss calculation unit 113, the lifestyle change information calculated by the lifestyle change calculation unit 114, and the like. To do. The contribution degree information management unit 120 manages the contribution degree and the significance of each lifestyle change calculated by the contribution degree calculation unit 115 with respect to the metabolic syndrome improvement. The improvement knowledge management unit 122 manages the improvement knowledge created by the metabo improvement rule creation unit 117.

  FIG. 2 is a diagram illustrating an example of examination information in the medical examination information managed by the medical examination information management unit 119. Manages examination information for 2 years of multiple people, health check ID 201 for specifying health check information, personal ID 202 for specifying individual, checkup date 203, gender 204 as basic items, at checkup Managing age 205 and so on. In addition, information such as height 209, weight 210, abdominal circumference 211, fasting blood glucose level 212, systolic blood pressure 213, diastolic blood pressure 214, neutral fat 215, HDL cholesterol (HDL-C) 216 are managed as examination items. ing.

  FIG. 3 is a diagram illustrating an example of lifestyle information in the medical examination information managed by the medical examination information management unit 119. We manage the results of life-style interviews for 2 years of multiple people, health checkup ID 201 to identify health checkup information, meal size 220, meal speed 221, meal balance 222, smoking 223, alcohol consumption / 224, It manages information such as regular exercise 225, strong exercise 226, holiday days / month 227, hobby 228 and so on. Based on the medical examination information in FIGS. 2 and 3, it is possible to calculate the annual weight loss, lifestyle changes, changes in test values, etc. of persons with metabolic syndrome / preliminary group.

  FIG. 4 is a diagram illustrating an example of weight change and lifestyle change information managed by the medical examination information management unit 119. It manages the annual weight loss, changes in lifestyle habits, and whether or not it improved from the metabo subject / preparatory group after one year. In this example, individual ID 202, metabo level (metabo corresponding or reserve group) 301, weight loss 302, meal change 303, meal speed change 304, meal balance change 305, smoking presence change 306, alcohol consumption / Day change 307, Regular exercise habit change 308, Strong exercise habit change 309, Holiday days / month change 310, Hobbies presence / absence, Metabo applicable / Presence group improvement / non-improvement 312 ) Etc. are managed. With regard to the value of lifestyle change, “Improved” is a bad lifestyle in the first year and a good lifestyle in the second year, “Unimproved” is a bad lifestyle in both the first and second years. In both the first year and the second year, good lifestyle habits are “continue good habits”, and in the first year, good habits and second year bad habits are “lifestyle deterioration”. For example, for a person with personal ID 202 of K0004, the metabo level 301 is the metabo reserve group, the weight loss 302 is 2 kg, the dietary change 303 is “improved (more → less)”, and the meal speed change 304 is “good” Habit continuation (not early → not early) ”, dietary balance change 305 is“ unimproved (bad → bad) ”, smoking change 306 is“ good habit (none → none) ”, alcohol consumption / day change 307 is “improved (more than 1 go → less than 1 go)”, regular exercise habit change 308 and stronger exercise habit change 309 are “unimproved (none → none)”, holiday days / month change 310 Indicates that “good habits continued (6 days or more → 6 days or more)” and the change 311 in hobbies was “unimproved (none → none)”, and it improved from the metabo-relevant / preliminary group one year later. With this information, it is possible to calculate how much the improvement of each lifestyle habit contributes to the improvement from the metabo hit / preliminary group.

  FIG. 5 is a diagram illustrating an example of contribution information managed by the contribution information management unit 120. It manages the item 401, the odds ratio indicating the contribution 402 to the metabolic improvement (improvement from the corresponding / preliminary group) when each lifestyle is improved, and the 95% confidence interval 403 indicating the reliability. For example, in the case of the change in the amount of meal 303, 1.5 of the contribution 402 indicates the odds ratio of “improvement (large → not much)” to the meal amount “unimproved (large → large)”. It shows that the improvement rate when “Improved” (the improvement rate from the Metabo / Preliminary group) is 1.5 times higher than the case of “Not improved”. Further, 1.1-2.1 of 95% confidence interval 403 indicates a 95% confidence interval indicating the reliability of the odds ratio, and indicates that the lower limit value of the 95% confidence interval is 1.1 and the upper limit value is 2.1. . When the lower limit of the 95% confidence interval is greater than 1, it indicates that the improvement of lifestyle habits contributes significantly to the improvement of metabolic syndrome (improvement from the corresponding / preliminary group). That is, it is shown that the improvement rate when the lifestyle is “improved” (the improvement rate from the metabo / preliminary group) is significantly higher than the case of “not improved”. In addition, when the lower limit value is 1 or less of the 95% confidence interval, it indicates that the improvement of the lifestyle does not contribute significantly to the metabolic syndrome improvement (improvement from the corresponding / preliminary group). This information makes it possible to select a lifestyle change item that contributes significantly to improvement of metabolism (improvement from the relevant / preliminary group) from lifestyle changes.

  FIG. 6 is a diagram illustrating an example of improvement knowledge (metabobo improvement rules) managed by the improvement knowledge management unit 122. The improvement knowledge includes a rule ID 601 that identifies a rule, a combination of multiple conditions: Metabo level 301, weight loss 302, lifestyle change items (e.g., change in diet 303, regular exercise change 308, etc.) Rules 610 to 632 indicating the improvement ratio 602 (the improvement ratio from the metabo hit / preliminary group) are managed. Here, the improvement ratio 602 is the number of improvers in the group (number of applicable persons) that meet the same conditions for metabolic level, weight loss, and lifestyle change (number of persons who improved from the metabo / preliminary group). Divided by the number (number of improvers / number of applicable people). For example, rule 632 applies to metabolic syndrome, weight loss of 3 kg or more, good eating habits (not many → not many), regular exercise habits and strong exercise habits (none → yes), drinking In the case of improvement (more than 1 go → 1 go or less) and a good holiday (6 days or more → 6 days or more), the improvement rate (the improvement rate from the metabo / preliminary group) should be 80% Show. With this information, it is possible to display the target body weight loss amount of the instructed person input as a target and the improvement ratio corresponding to the lifestyle improvement target item (the improvement ratio from the metabo corresponding / preliminary group) for each metabo corresponding / preliminary group.

  Next, the operation will be described in detail with reference to a flowchart and a sequence diagram. First, an example of a procedure for creating improvement knowledge from medical examination information will be described with reference to the flowchart in FIG. 7 and the sequence diagram in FIG. 19 showing the exchange between the metabolic syndrome improvement information calculation terminal 101 and the database 106.

  When creation of improvement knowledge is started (701), first, a metabo corresponding / preliminary group extraction step 702 is performed. Here, the metabo hit / preliminary group extraction unit 112 acquires the medical examination information for two or more people of two years in FIGS. 2 and 3 managed by the medical examination information management unit 119. Next, the metabo applicable / preliminary group extraction unit 112 extracts the medical checkup information of the person who was in the metabolite / preliminary group in the first year from the acquired medical checkup information, and in the second year -Judge by individual whether or not the improvement was made from the reserve group. As mentioned above, metabolic syndrome applies to visceral fat obesity (abdominal circumference: 85 cm or more for men, 90 cm or more for women), and hyperglycemia (fasting blood glucose 110 mg / dl or more), lipid abnormalities (neutral fat 150 mg / dl or more, or HDL-C less than 40 mg / dl), hypertension (systolic blood pressure of 130 mmHg or higher, or diastolic blood pressure of 85 mmHg or higher). In addition, the metabo reserve group extracts persons who have visceral fat type obesity and one of the following items: hyperglycemia, dyslipidemia, and hypertension. In the second year, whether or not it has improved from the metabo-reserved / preliminary group will be unimproved if it meets the above criteria in the second year, and will be improved if it is no longer met. In the examples of FIGS. 2 and 3, the person with personal ID 202 of K0001 and K0003 is extracted as a metabo, the person with K0004 is extracted as a metabo reserve group, and the person with K0002 is not applicable and is not extracted. In addition, the K0001 and K0004 persons no longer met the above criteria in the second year, so it was determined that the improvement was from the metabo / preliminary group, and the K0003 person met the above standards in the second year. Judged as unimproved from the relevant / preliminary group. The metabo corresponding or preliminary group (metabo level 301) and the presence / absence of improvement 312 from the determined metabo corresponding / preliminary group are recorded in the database 106 in the format of FIG. 4 and managed by the medical examination information management unit 119.

  In the weight loss calculation step 703, the weight loss calculation unit 113 first obtains the weight for two years from the medical examination information of the metabolic target / preliminary group extracted by the metabolic target / preliminary group extraction unit 112. Next, the weight loss amount calculation unit 113 calculates a weight loss amount that is a value obtained by subtracting the weight of the second year from the weight of the first year for each individual. As a result, it is possible to calculate the weight loss that has a high contribution to the metabolic syndrome improvement (improvement from the metabolic syndrome / improvement from the reserve group). The calculated weight loss is recorded in the database 106 in the format of FIG. 4 and is managed by the medical examination information management unit 119.

  In the lifestyle change calculation step 704, the lifestyle change calculation unit 114 first obtains the results of lifestyle interviews for two years from the medical examination information of the corresponding metabolic group / preliminary group extracted by the metabolic group / preliminary group extracting unit 112. get. Next, the lifestyle change calculation unit 114 calculates changes in each lifestyle according to individuals. Specifically, bad lifestyles in the first year and good lifestyles in the second year are “improved”, bad lifestyles in both the first and second years are “unimproved”, one year Good lifestyle habits in both the first and second years are “good habits”, and good lifestyle habits in the first year and bad lifestyles in the second year are “life habits worse”. For example, if the amount of meal is larger in the first year → not larger in the second year, the amount of meal is improved, and if it is larger in the first year → larger in the second year, the amount of meal is not improved. Each calculated lifestyle change is recorded in the database 106 in the format of FIG. 4 and managed by the medical examination information management unit 119.

  In the sequence diagram of FIG. 19, the metabolic syndrome improvement information calculation terminal 101 acquires 1903 medical examination information from the database 106. Then, the metabolic syndrome improvement information calculation terminal 101 is the metabolic rate determined by the metabolic relevant / preliminary group extraction unit 112 and the presence / absence of improvement from the metabolic relevant / preliminary group, the weight loss calculated by the weight loss calculating unit 113, Weight change / lifestyle change information such as changes in each lifestyle calculated by the lifestyle change calculating unit 114 is registered 1904 in the database 106. As a result, it is possible to calculate how much the improvement of each lifestyle habit contributes to the improvement from the metabo hit / preliminary group.

In the contribution calculation step 705, first, the contribution calculation unit 115 acquires the weight change / lifestyle change information of FIG. 4 managed by the medical examination information management unit 119. Next, the contribution calculation unit 115 statistically analyzes the relationship between each lifestyle change and the improvement from the metabo hit / preliminary group, and calculates the contribution and reliability of each lifestyle change to the metabolic syndrome improvement. To do. Specifically, the relationship between each lifestyle change and the improvement of Metabo (improvement from Metabo or Preliminary group) is statistically analyzed using a logistic regression model, etc. Calculate a 95% confidence interval that represents the odds ratio and its confidence. Here, the odds ratio of the improvement of Metabo (improvement from Metabo / preliminary group) is the odds of improving the Metabo / Preparation group in the case of unimproved lifestyle (both 1 and 2 years) (Metabo does not improve) The ratio of odds to improve from the metabo-applicable / preliminary group in the improvement group (bad in the first year, good in the second year) in the lifestyle group to the probability 1-p (ratio of the probability p that the metabolic syndrome improves) It shows the high degree of metabo improvement in the improvement group relative to the improvement group. For example, if the odds ratio of the meal quantity improvement group to the meal quantity improvement group is 1.5, it means that the degree of improvement in the metabolic rate of the meal quantity improvement group is 1.5 times higher than the meal quantity improvement group. When the improvement rate of the lifestyle habits unimproved group and the improved group (improvement rate from the metabo / preliminary group) is p ₀ and p ₁ , respectively, the following formulas are used.

  In addition, the confidence interval indicates an interval in which a true odds ratio is considered to exist and its reliability. For example, when the 95% confidence interval of a certain odds ratio is 1.1 to 2.1, the true odds ratio is considered to be in the interval of 1.1 to 2.1, which means that the reliability is 95%. A reliability of 95% is often used. In other words, if a 95% confidence interval for the metabolic syndrome odds ratio of a certain lifestyle improvement is found and the lower limit is a value greater than 1, the lifestyle improvement will be a metabolic syndrome improvement (improvement from the metabolic group / preliminary group). It shows that a statistically significant association is seen. This allows selection of lifestyle changes that are significantly related to (contribute to) improvement from the metabo hit / preliminary group. For example, the lower limit of the 95% confidence interval 403 (Fig. 5) of the change in drinking amount 307 is 1.1, so improvement in drinking amount (more than 1 go → 1 go or less) improves metabolic rate (applicable / preliminary group) It is shown that there is a significant association with (improvement from). On the other hand, the 95% confidence interval 403 (Fig. 5) of the meal speed change 304 has a lower limit of 0.6, so improvement in meal speed (early → early) is improved by metabolic (improvement from the relevant / preliminary group). ) Is not significant (does not contribute). The calculated contribution information is recorded in the database 106 in the format of FIG. 5 and managed by the contribution information management unit 120.

  In the sequence diagram of FIG. 19, the metabolic syndrome improvement information calculation terminal 101 acquires 1905 weight change / lifestyle change information from the database 106. Then, the metabolic syndrome improvement information calculation terminal 101 registers 1906 the contribution degree information calculated by the contribution degree calculation unit 115 in the database 106.

  In the knowledge item selection step 706, first, the knowledge item selection unit 116 acquires the contribution information of FIG. 5 managed by the contribution information management unit 120. Next, the knowledge item selection unit 116 selects lifestyle change items that are significantly related to metabo improvement (improvement from the relevant / preliminary group) from the contribution information. Specifically, lifestyle changes where the lower limit of the 95% confidence interval is greater than 1 are selected. From the contribution information in Fig. 5, changes in meal amount 303, changes in alcohol consumption 307, changes in regular exercise habits 308, changes in strong exercise habits 309, changes in days off on holidays 310 improved metabo (from the relevant / preliminary group) Selected as an item significantly related to (improvement). The selected lifestyle change items are items that were significantly related to the improvement of Metabo (improvement from the Preliminary / Preliminary group) as a result of analyzing the actual medical examination information of the Metabo applicable / preliminary group.

  In the metabo improvement rule creation step 707, first, the metabo improvement rule creation unit 117, from the weight change and lifestyle change information of FIG. 4 managed by the medical examination information management unit 119, metabo level 301 (metabo corresponding or preliminary group), Weight loss 302, lifestyle change items selected by knowledge item selection unit 116 (meal change 303, drinking change 307, regular exercise habit change 308, stronger exercise habit change 309, holiday days change 310), information on the presence / absence of improvement 312 from the metabo corresponding / preliminary group is acquired. Next, the metabo improvement rule creation unit 117 combines the metabo level, the weight loss, and the value of each lifestyle change item (improvement or unimproved or good habit continuation), and the improvement rate by combination (from the metabo improvement / preliminary group) Comprehensive improvement ratio). Specifically, using the information on the presence or absence of improvement 312 from the metabo-relevant / preliminary group, the number of improvers in the group (relevant number) with the same metabo level, weight loss, and lifestyle change items (relevant to metabo)・ Calculate the number of people who improved from the reserve group) and divide it by the number of applicable people (Improvement ratio = number of improvers / number of applicable people). Then, the improvement knowledge having a plurality of metabo improvement rules composed of the metabo level, the weight loss amount, the value of the lifestyle change item and the improvement ratio from the metabo corresponding / preliminary group is created. As shown in Figure 6, the improvement knowledge created is Metabo level 301 (corresponding or preliminary group), weight loss 302 (0, 1-2 kg, 3 kg or more), each lifestyle change item (meal change 303, drinking) It has a condition part that combines quantity change 307, regular exercise habit change 308, strong exercise habit change 309, holiday days change 310) value (improved, unimproved, good habit continuation) and its condition part This is data in which a plurality of human improvement ratios 602 are recorded. Here, since the weight loss amount is 3 kg or more and the above-mentioned metabo improvement odds ratio becomes large, improvement knowledge is created by dividing into 0 kg, 1-2 kg, 3 kg or more. For example, rule 618 is a metabolic prep group with weight loss of 3 kg or more, improved diet (more → less), regular exercise habits and stronger exercise habits (none → none), alcohol consumption In the case of improvement (more than 1 go → 1 go or less) and a good holiday (6 days or more → 6 days or more), the improvement rate (improvement rate from Metabo / preliminary group) should be 85% Show. When the improvement knowledge is created, it is recorded in the database 106 in the format of FIG. 6, and is managed by the improvement knowledge management unit 122. Then, the creation of improvement knowledge is finished (708). Thereby, the target body weight reduction amount of the instructed person input as a target and the improvement rate corresponding to the lifestyle improvement target item (the improvement rate from the metabolic target / preliminary group) can be displayed for each metabo corresponding / preliminary group.

  In the sequence diagram of FIG. 19, the metabolic syndrome improvement information calculation terminal 101 acquires 1907 weight change / lifestyle change information and contribution information from the database 106. Then, the metabolic syndrome improvement information calculation terminal 101 creates improvement knowledge using the lifestyle change items selected using the metabolic level, the weight change amount, and the contribution degree information, and registers 1908 in the database 106.

  Next, an example of the flow of processing from the medical examination result input of the instructed person to the display of improvement information will be described with reference to the flowchart of FIG. 18 and the sequence diagrams of FIGS. This process is a process in a case where a leader such as a doctor or a public health nurse presents and guides information for improving the metabolic syndrome to the metabolic syndrome appropriate person / preliminary group (instructive target person).

  8, 9, and 14 are diagrams illustrating an example of a medical examination result input screen 801 that the improvement information creation unit 103 displays on the output unit 104. FIG. 8 is a diagram showing a state before inputting a medical examination result of a person to be instructed, and FIG. 9 is a diagram after the instructor inputs a current medical examination result of a person corresponding to Metabo (a person to be instructed). It is a figure which shows a state. FIG. 14 is a diagram illustrating a state after the instructor inputs the current medical examination result of the metabo preliminary group (the instructing target person). This screen is a column for entering the values of lifestyle change items that contribute to the metabo improvement (improvement from metabo hit / preliminary group) selected by the knowledge item selection unit 116, the inspection items that determine the metabo hit person / preliminary group Is provided. Specifically, gender input field 804, abdominal circumference input field 805, fasting blood glucose input field 806, systolic blood pressure input field 807, diastolic blood pressure input field 808, neutral fat input field 809, HDL cholesterol input field 810, meal At least a quantity input field 811, a regular exercise input field 812, a strong exercise input field 813, a drinking amount input field 814, and a holiday days input field 815 are provided. Also, buttons 836 to 837 for selecting gender, buttons 838 to 839 for selecting the amount of meal, buttons 840 to 841 for selecting whether or not to exercise regularly, buttons 842 to 843 for selecting the presence or absence of strong exercise, and the amount of drinking / day Buttons 844 to 845 for selecting, buttons 846 to 847 and 802 for selecting days / months for holidays indicate execution buttons.

  When the processing of the flowchart of FIG. 18 is started (1801), first, a medical examination result input step 1802 is performed. In the medical examination result input step 1802, the improvement information creating unit 103 causes the instructor to input the medical examination result of the instructed person through the input unit 102. First, the medical examination result input screen 801 shown in FIG. 8 is displayed on the output unit 104, and the input of the medical examination result of the person being instructed is awaited. Then, the instructor is caused to input the health check result of the instructor by operating the input unit 102, and when the input is completed, the execution button 802 is pressed. Here, as shown in FIG. 9, as a result of the health checkup of the guidance subject, male, waist circumference 85 cm, fasting blood glucose 120 mg / dl, systolic blood pressure 140 mmHg, diastolic blood pressure 90 mmHg, neutral fat 160 mg / dl, HDL cholesterol Suppose you have entered 35mg / dl, a large amount of meals, no regular exercise, no strong exercise, more than one daily drinking, and no more than 5 days of holidays on the month.

  In the health check result determination step 1803, the health check result determination unit 107 is bad from the health check result of the guidance target person input in the health check result input step 1802 to the metabo level (metabo corresponding or preliminary group) of the guidance target person. Determine lifestyle improvement items that are lifestyle. In the case of the input example in FIG. 9, visceral fat type obesity (abdominal circumference: 85 cm or more for men, 90 cm or more for women), hyperglycemia (fasting blood glucose 110 mg / dl or more), lipid abnormalities (neutral fat) Meets two or more of 150 mg / dl or less, or less than HDL-C 40 mg / dl), hypertension (systolic blood pressure 130 mmHg or more, or diastolic blood pressure 85 mmHg or more), and becomes a metabolic subject. Also, since all lifestyle habits are entered, lifestyle habit improvement items are determined as meal amount, regular exercise habits, stronger exercise habits, drinking / day, and days off. Here, the item input that the lifestyle is good is not determined as the lifestyle improvement item.

  In the lifestyle improvement item sorting step 1804, the improvement item sorting unit 108 determines from the improvement knowledge the metabo level of the instructed person determined by the medical examination result judging unit 107, the weight loss 0 kg (the target weight loss of the instructed person). The improvement ratio (the improvement ratio from the metabo corresponding / preliminary group) is acquired when the combination of “default state before input” and “improvement” of each lifestyle improvement item determined by the medical examination result determination unit 107 is acquired. The lifestyle improvement items are rearranged in the descending order of improvement rate and displayed on the output unit 104. In this case, the lifestyle improvement items (bad lifestyle of the person being instructed) determined by the medical examination result determination unit 107 are the amount of meals, regular exercise habits, strong exercise habits, alcohol consumption / day, days of holidays Therefore, these are rearranged and displayed in descending order of improvement rate.

  As shown in the improvement knowledge in Fig. 6, when the medical examination information of a large number of persons with metabolic syndrome / preliminary group is analyzed, the improvement rate (metabolomic-related / preliminary group) depends on the metabolic level (metabolists or preliminary group) and weight loss. There is a different relationship between lifestyle improvement items that have a high improvement rate. For example, 80% of the dietary improvement is the highest improvement rate in the Metabo preparatory group and the weight loss of 3 kg or more, and 70% of the regular exercise habit improvement is the highest improvement in the case of Metabo and weight loss of 3 kg or more In proportion, metabolic rate, and weight loss of 1-2kg, 35% of alcohol consumption improvement is the highest improvement rate. That is, there is a relationship in which the degree of influence of each lifestyle improvement item on metabo improvement (improvement from metabo / preliminary group) varies depending on the metabo level and the weight loss. As described above, the improvement item sorting unit 108 displays each lifestyle improvement item sorted in descending order of the improvement rate in consideration of this relationship, so that the metabolic rate improvement and the target weight loss amount of the target person are improved. The items for improving lifestyle habits can be displayed in an effective order.

  In the current improvement rate selection / display step 1805, the improvement rate selection unit 109 uses the improvement knowledge as the current improvement rate (improvement rate from the metabo / preliminary group), the subject's metabo level, weight loss 0 kg. The improvement ratio corresponding to is acquired and displayed on the output unit 104. In this case, since the person to be instructed is a person who is a metabo, the rule 619 is acquired from the improvement knowledge shown in FIG. Thereby, the present improvement rate corresponding to the subject person's metabo level can be displayed.

  FIG. 10 is an example of an improvement information display screen 1001 in which the improvement information creation unit 103 displays the results of the above-described lifestyle improvement item sorting step 1804 and the current improvement rate selection / display step 1805 on the output unit 104. Yes, it is a screen that is displayed after the health check result of the person being instructed is input on the health check result input screen and the execution button is pressed. Metabo level display field 1002, weight loss input bar 1010, lifestyle improvement item display field 1004, lifestyle improvement item selection buttons 1011 to 1015, current improvement rate acquired by improvement rate selection unit 109 (metabobo corresponding / preliminary group The rate of improvement from 100) is displayed. The metabo level display field 1002 displays the metabo level determined by the medical examination result determination unit 107. The weight loss input bar 1010 displays, by default, a state in which a weight loss of 0 kg is input. By moving this bar, the target weight loss of the person to be instructed is input. In the lifestyle improvement item display field 1004, selection buttons for lifestyle improvement items (only bad lifestyles of the person to be instructed) determined by the medical examination result determination unit 107 are arranged in descending order of improvement rate by the improvement item sorting unit 108. Change to display. Good lifestyle items that are not judged as bad lifestyles by the medical examination result judgment unit 107 are not displayed. When the displayed lifestyle improvement item selection button is pressed, the lifestyle improvement target item of the guidance target person is input. In this example, the instructing subject is a subject of Metabo, so “You are a subject of Metabo” is displayed in the Metabo level display field 1002. In addition, in the lifestyle improvement item display column 1004, the lifestyle improvement items are displayed in the order of the improvement rate in the case of metabolic syndrome / weight loss 0 kg, the meal amount improvement button 1011, the holiday days improvement button 1012, the drinking amount improvement button 1013, a regular exercise habit improvement button 1014, and a stronger exercise habit improvement button 1015 are displayed. The current improvement rate is displayed as 5% even though there is no improvement in weight loss or lifestyle (exercise, food consumption, alcohol consumption, days off) Statistically, there is a 5% chance that there will be a 5% chance that the subject will be in the metabolic group / preliminary group due to minor fluctuations in metabolic test values (blood glucose, lipids, blood pressure) due to dietary consumption, alcohol consumption, lifestyle other than holidays It shows that it is improved.

  In the sequence diagram of FIG. 19, the metabolic syndrome improvement information calculation terminal 101 inputs 1909 the health checkup result of the instructed person, and based on the improvement knowledge in the database 106, the current improvement rate corresponding to the result of the health checkup of the instructed person Then, the lifestyle improvement item influence degree indicated by the improvement ratio when each lifestyle improvement item is improved 1910 is acquired.

Returning to the description of the flowchart of FIG.
In the weight loss input step 1806, the improvement information creation unit 103 causes the instructor to input the target weight loss of the instructor using the input unit 102. The target weight loss amount is input using the input unit 102 by moving the weight loss amount input bar 1010 on the improvement information display screen 1001.

  In the lifestyle improvement item sorting step 1804, the improvement item sorting unit 108 determines from the improvement knowledge the target subject weight loss input in the metabo level of the instructed person, the weight loss input step 1806, and the health check result determination unit 107. Acquire the improvement rate (improvement rate from the metabo / preliminary group) when combining the “improvement” of each determined lifestyle habit improvement item. Then, the lifestyle improvement items (bad lifestyle of the person being instructed) are rearranged in descending order of improvement rate and displayed on the output unit 104. If the target weight loss of 1-2 kg is entered for Metabo, the improvement rate for each lifestyle improvement item is 10% for dietary improvement, 30% for regular exercise habit improvement, Because it is 20% stronger exercise habit improvement, 35% alcohol consumption improvement, and 15% holiday days improvement, it is displayed in the order of alcohol consumption, regular exercise, stronger exercise, holiday days, meal amount from the top. . In addition, if the target weight loss of 3kg or more is entered for Metabo, the improvement rate for each lifestyle improvement item is 45% for dietary improvement, 70% for regular exercise habit improvement, and 60% for stronger exercise habit improvement. Since the drinking amount improvement is 50% and the holiday days improvement is 55%, the regular exercise, the strong exercise, the holiday days, the drinking amount, and the meal amount are displayed in order from the top. As described above, because there is a relationship in which lifestyle improvement items with a high improvement rate differ depending on the metabolic level and weight loss, the improvement item sorting unit 108 considers this relationship and determines the improvement rate for each lifestyle improvement item. By sorting and displaying in descending order, the lifestyle improvement items can be displayed in the order effective for improving the metabolic rate (improvement from the metabolic group / preliminary group) according to the target subject's metabolic rate and target weight loss. it can.

  In the improvement ratio selection / display step 1808 after weight reduction, the improvement ratio selection unit 109 uses the improvement knowledge as the improvement ratio after weight reduction (the improvement ratio from the metabo / preliminary group), the subject's metabo level, weight loss The improvement ratio corresponding to the target weight loss input in the amount input step 1806 is acquired and displayed on the output unit 104. In this case, since the target person to be instructed is a metabolic subject, if the target weight loss of 1-2 kg is entered, the rule 620 is obtained from the improvement knowledge in FIG. 6 and the improvement rate after reduction is 10%. Display as. When the target weight loss of 3 kg or more is input, the rule 626 is acquired from the improvement knowledge, and the improvement rate 45% is displayed as the improvement rate after the weight reduction. Thereby, the improvement rate corresponding to the metabo level and the target weight loss amount of the target person can be displayed.

  11 and 12, the improvement information creation unit 103 outputs the results of the processing of the lifestyle improvement item sorting step 1804 after inputting the target weight loss amount and the improvement rate selection / display step 1808 after the weight loss described above to the output unit 104. 3 is an example of an improvement information display screen 1001 displayed on the screen.

  FIG. 11 is an example of a screen when the target weight loss amount of the person to be instructed (metabo subject person) is input as 1 to 2 kg in the weight loss input bar 1010, and the improvement rate selection / display step 1808 after weight loss The improvement rate after weight loss of 1-2 kg obtained in (1) is shown. In this example, the improvement rate of rule 620 is 10%. In the lifestyle improvement item display field 1004, the lifestyle improvement items are displayed in the order rearranged in the lifestyle improvement item sorting step 1804 after the target weight loss input. Here, from the top, the drinking amount improvement button 1013, the regular exercise habit improvement button 1014, the stronger exercise habit improvement button 1015, the holiday days improvement button 1012, and the meal amount improvement button 1011 are displayed in this order.

  FIG. 12 is an example of a screen when the target weight loss amount of the person to be instructed (the person who corresponds to Metabo) is input as 3 kg or more in the weight loss input bar 1010, and in the improvement ratio selection / display step 1808 after weight loss. The percentage of improvement after weight loss of 3 kg or more acquired (applicable to metabo, percentage of improvement from the reserve group) 1204 is displayed. In this example, the improvement rate of rule 626 is 45%. In addition, in the lifestyle improvement item display field 1004, the lifestyle improvement item sorting step 1804 after inputting the target weight loss amount described above, from the top, the periodic exercise habit improvement button 1014, the stronger exercise habit improvement button 1015, the holiday The days improvement button 1012, the drinking amount improvement button 1013, and the meal amount improvement button 1011 are displayed in this order.

  In the sequence diagram of FIG. 19, the metabolic syndrome improvement information calculation terminal 101 inputs the target weight loss amount 1911 of the instructor, and after the weight reduction corresponding to the target weight loss amount of the instructor from the improvement knowledge in the database 106. 1912 is acquired 1912, and the lifestyle improvement item influence degree indicated by the improvement rate when each lifestyle improvement item is improved.

Returning to the description of the flowchart of FIG.
In the weight loss determination step 1809, the metabolic syndrome improvement information calculation terminal 101 causes the instructor to determine whether the target weight loss for the instructor has been determined. The leader looks at the improvement rate on the improvement information display screen and makes a decision while consulting with the instructor. If determined, the process proceeds to lifestyle improvement item input step 1810. If not determined, the process returns to the weight loss input step 1806, and the target weight loss is changed and repeated. Here, the following steps will be described assuming that the target weight loss is determined to be 3 kg or more.

  In the lifestyle improvement item input step 1810, the improvement information creation unit 103 causes the instructor to input the lifestyle improvement target item of the instructed person through the input unit 102. The lifestyle improvement target item is input by pressing the lifestyle improvement item selection buttons 1011 to 1015 displayed in the lifestyle improvement item display field 1004 of the improvement information display screen 1001 with the input unit 102. Here, it is assumed that the regular exercise habit improvement button 1014 is pressed on the improvement information display screen of FIG. 12, and the regular exercise is input as a lifestyle improvement target item.

  In the selection / display step 1811 of the improvement rate after weight loss / lifestyle improvement, the improvement rate selection unit 109 gives guidance as the improvement rate after weight loss / lifestyle improvement (improvement rate from the metabolite / preliminary group) from the improvement knowledge. The subject's metabolic rate, the target weight loss determined in the weight loss determination step 1809, and the improvement rate corresponding to the lifestyle improvement target item input in the lifestyle improvement item input step 1810 are acquired and output to the output unit 104. indicate. In this example, metabolite, target weight loss of 3 kg or more, and regular exercise habit improvement are entered. From the improvement knowledge in Fig. 6, rule 628 is obtained, and the improvement rate of 70% is weight loss / lifestyle Displayed as the improvement rate after improvement. In addition, when a plurality of lifestyle improvement target items are input, an improvement ratio when a plurality of lifestyles are improved is acquired from the improvement knowledge and displayed. Thereby, the improvement rate corresponding to the subject person's metabolic rate, target weight loss, and lifestyle improvement target items can be displayed.

  In the lifestyle improvement item determination step 1812, the metabolic syndrome improvement information calculation terminal 101 causes the instructor to determine whether the lifestyle improvement target item of the instructor is determined. The leader looks at the improvement rate on the improvement information display screen and makes a decision while consulting with the instructor. If it is decided, the improvement information display processing is terminated (1813). If not determined, the process returns to the lifestyle improvement item input step 1810, and the lifestyle improvement target item is changed / added and repeated.

  FIG. 13 shows an example of an improvement information display screen 1001 in which the improvement information creation unit 103 displays the result of the processing of the improvement ratio selection / display step 1811 after weight loss / lifestyle improvement on the output unit 104. This example is a screen example when the target weight loss amount of the person to be instructed (metabo subject person) is 3 kg or more and the lifestyle improvement target item is input as regular exercise, and is acquired by the improvement ratio selection unit 109. 1304 shows the improvement ratio after weight loss / lifestyle improvement (applicable to metabo and improvement ratio from the preparatory group). Here, the improvement rate of rule 628 is displayed as 70%.

  In the sequence diagram of FIG. 19, the metabolic syndrome improvement information calculation terminal 101 inputs the target weight loss amount and lifestyle improvement target items of the target person 1913, and based on the improvement knowledge in the database 106, the target body weight reduction of the target person Acquire the rate of improvement after weight loss / lifestyle improvement corresponding to the quantity and lifestyle improvement target items 1914.

  Next, the flow when the instructor provides instruction to the metabo preliminary group using the improvement information display screen will be described with reference to FIGS.

  FIG. 14 is a diagram illustrating an example of the medical examination result input screen 801 as described above, and shows a state after the instructor inputs the current medical examination result of the metabo preliminary group (the person to be instructed). FIG. In Figure 14, male, waist circumference 85cm, fasting blood glucose 100mg / dl, systolic blood pressure 120mmHg, diastolic blood pressure 80mmHg, triglyceride 160mg / dl, HDL cholesterol 35mg / dl, high diet, no regular exercise, stronger No exercise, more than 1 drink per day, less than 5 days of holidays per month entered. This is visceral fat obesity (abdominal circumference: 85cm or more for men, 90cm or more for women), hyperglycemia (fasting blood glucose 110mg / dl or more), lipid abnormalities (neutral fat 150mg / dl or more, Or, because it satisfies 1 item of HDL-C less than 40 mg / dl) and hypertension (systolic blood pressure of 130 mmHg or more, or diastolic blood pressure of 85 mmHg or more), it becomes the metabo preliminary group. In addition, since all lifestyle habits are entered, lifestyle improvement items are meal amount, regular exercise habits, stronger exercise habits, alcohol consumption / day, and holidays.

  Next, when the execution button 802 is pressed on the medical examination result input screen of FIG. 14, an improvement information display screen 1001 of FIG. 15 is displayed. The weight loss input bar 1010 displays a state in which a weight loss of 0 kg is input. In the lifestyle improvement item display column 1004, each lifestyle improvement item is displayed in the descending order of the improvement rate in the case of the metabo preliminary group / weight loss 0 kg (the improvement rate from the metabo / preparatory group) A meal amount improvement button 1011, a strong exercise habit improvement button 1015, a regular exercise habit improvement button 1014, and a holiday days improvement button 1012 are displayed. The metabo level display field 1002 displays “You are a metabo reserve group”. In addition, the improvement ratio corresponding to the metabo preliminary group and the weight loss of 0 kg is acquired from the improvement knowledge and displayed as the current improvement ratio 1003. Here, the improvement rate 20% of the rule 610 is displayed.

  Next, on the improvement information display screen 1001 of FIG. 15, when the target weight loss amount of the instructor (metabo reserve group) is input as 3 kg or more, the improvement information display screen 1001 is displayed as shown in the screen of FIG. The Based on the improvement knowledge shown in Fig. 6, the improvement rate when the lifestyle improvement items were improved with the pre-metabo group / weight loss of 3 kg or more was 80% meal improvement, 65% regular exercise habit improvement, and stronger exercise habits. 70% improvement, 55% improvement in drinking, and 50% improvement in days off, so in the lifestyle improvement item display field 1004, the diet improvement button 1011, the stronger exercise habit improvement button 1015, the regular exercise habit improvement button 1014 The drinking amount improvement button 1013 and the holiday days improvement button 1012 are displayed in this order. In addition, the improvement ratio corresponding to the metabolic syndrome preliminary group and the weight loss of 3 kg or more is acquired from the improvement knowledge and displayed as the improvement ratio 1204 after the weight loss. Here, the improvement rate 50% of the rule 612 is displayed.

  Next, on the improvement information display screen 1001 in FIG. 16, when the lifestyle improvement target item of the instructor (metabo preliminary group) is input as dietary quantity improvement, the improvement information display screen 1001 is as shown in the screen of FIG. Is displayed. From the improvement knowledge, obtain the Metabo preliminary group, weight loss 3kg or more, improvement rate corresponding to dietary improvement, and display it as improvement rate 1304 after weight loss / lifestyle improvement. Here, the improvement rate 80% of the rule 613 is displayed.

As described above, in the metabolic syndrome improvement information calculation system of the present invention, the improvement item sorting unit 108 sorts and displays the lifestyle improvement items in descending order of the improvement rate according to the metabolic level and the weight loss amount. Moreover, there is an effect that lifestyle improvement items that are effective for improving metabolic syndrome (improvement of metabolic syndrome / improvement from the preparatory group) can be displayed in an easy-to-understand manner for the trainee.
Further, the metabolic syndrome improvement information calculation system according to the first embodiment of the present invention is based on the improvement knowledge which is the result of the improvement rate selection unit 109 analyzing the medical examination information of the subject and the preliminary group of the metabo, and the metabo level of the person to be instructed. , Target weight loss, improvement rate corresponding to lifestyle improvement target items are acquired and displayed, so if the target person loses weight and improves lifestyle, There is an effect that the degree of improvement) can be quantitatively presented.
In addition, the metabolic syndrome improvement information calculation system according to the first embodiment of the present invention calculates and displays the improvement rate (the improvement rate from the metabolic syndrome / preliminary group) when lifestyle is improved according to the metabolic level and the weight loss. Therefore, weight loss and lifestyle improvement items with a high improvement rate can be presented for each metabolic level. Therefore, there is an effect that it is possible to calculate and display effective guidance information for improving the metabolic syndrome.
In Example 1 described above, an example in which the improvement information display screen is displayed on the display as the output unit 104 has been described. However, the target weight loss amount of the instructor and the lifestyle improvement target are determined in FIGS. 13 and 17. Such an improvement information display screen may be output as a report to a printer or the like and handed over to the instructor. By doing in this way, the person to be instructed can always see the metabolic improvement information and can raise health awareness.
Further, in the above Example 1, the example of creating the improvement knowledge by dividing the weight loss amount into 0 kg, 1-2 kg, 3 kg or more has been explained, but the weight is reduced by 1 kg, 2 kg, 3 kg, 4 kg, 5 kg, etc. If there is a lot of medical checkup information of the person who has done this, improvement knowledge may be created using continuous values without dividing the weight loss as described above. By doing this, it is possible to display the improvement rate when the weight loss is entered as a continuous value (1kg, 2kg, 3kg, 4kg, 5kg ...) Can give guidance.
In Example 1 described above, an example of creating improvement knowledge using the weight loss amount has been described, but using the weight loss rate (1%, 2%, 3%, 4%, 5%, ...). Improvement knowledge may be created. The weight loss rate can be calculated by calculating the weight loss (weight of the first year-weight of the second year) from the weight of the two years and dividing this by the weight of the first year. If there are many people with each value of weight loss rate, improvement knowledge is created using the continuous value (1%, 2%, 3%, 4%, 5% ...) as it is, and the number of people with each value If there is little, for example, it is divided into 0%, 1-4%, 5% or more. By creating improvement knowledge using the weight loss rate in this way, it is possible to calculate and display not only the weight loss amount but also the improvement rate considering the original weight.
Further, in Example 1 described above, an example of calculating and displaying the improvement ratio from the metabo corresponding / preliminary group has been described, but when the instructor is a metabo corresponding person, the improvement ratio from the metabo corresponding / preliminary group is In addition, the improvement ratio from the metabo corresponding may be calculated and displayed. This can be realized by performing the following processing. First, using the information on the weight change / lifestyle change of those who have met metabolic syndrome and the information on whether or not there has been improvement from the metabolic syndrome, the weight loss amount and the value of each lifestyle change are combined, and the improvement rate from the metabolic syndrome by combination (metabolism) Comprehensively calculate the improvement knowledge (improvement from Metabo) by comprehensively calculating the number of improvers from the corresponding number divided by the number of applicable people). And, from the improvement knowledge (improvement from metabolite), obtain the target weight loss amount of the input target person (metabolite person), the improvement rate from metabo corresponding to the lifestyle improvement goal item, and display it . In this way, when the target person is a Metabo applicable person, in addition to the improvement ratio from the Metabo applicable / preliminary group, the improvement ratio from the Metabo applicable is calculated and displayed. Next, it is possible to provide step-by-step instruction, such as improvement from the Metabo hit / preliminary group.

Example 2 of the present invention will be described in detail with reference to the drawings. In the following description, in addition to the display of the improvement ratio from the metabo hit / preliminary group described in the first embodiment, a method of displaying the improvement degree of the metabo related inspection value will be described.
The metabolic syndrome improvement information calculation system according to the second embodiment of the present invention includes a CPU, a memory, and a storage medium. The storage medium is, for example, a nonvolatile storage medium, and includes a magnetic disk, a nonvolatile memory, or the like, and stores a program that realizes the metabolic syndrome improvement information calculation system, a result calculated by the metabolic syndrome improvement information calculation system, and the like. The memory expands a program stored in the storage medium. The CPU executes a program expanded in the memory. Processing and operations described below are executed by the CPU.

  FIG. 20 is a diagram illustrating a configuration example of the metabolic syndrome improvement information calculation system according to the second embodiment of the present invention. The configuration example (FIG. 1) of the first embodiment includes a test value change amount calculation unit 2018, a test value, and the like. An improvement rule creation unit 2019 and an estimated inspection value calculation unit 2010 are added.

  The test value change amount calculation unit 2018 determines the first year test values (metabo related test values: fasting blood glucose, systolic blood pressure, diastolic blood pressure, triglycerides, HDL Cholesterol) and 2nd year test values are obtained, and the change in test value, which is the value obtained by subtracting the 1st year test value from the 2nd year test value, is calculated for each individual.

  The test value improvement rule creation unit 2019 is classified according to the combination pattern of the lifestyle change items (meal amount change, exercise habit change, etc.) selected by the knowledge item selection unit 116, the metabo subject or the preliminary group, the weight loss amount, Comprehensively calculate the average value of the inspection value variation. Then, improvement knowledge having a plurality of test value improvement rules composed of the metabo subject or preliminary group, the weight loss amount, the value of the lifestyle change item, and the average change amount of the test value is created.

  The estimated test value calculation unit 2010 obtains from the improvement knowledge the metabo level of the instructed person, the target weight loss input as an action target at the input unit 102, and the average change amount of the test value corresponding to the lifestyle improvement target item To do. Then, an estimated test value, which is a value obtained by adding the average change amount of the acquired test value to the current test value of the instructed person input at the input unit 102, is calculated for each test item and displayed on the output unit 104.

  The medical examination information management unit 119 of the database 106 includes the medical examination information input by the input unit 102, the weight loss calculated by the weight loss calculation unit 113, and the lifestyle change information calculated by the lifestyle change calculation unit 114. In addition, the inspection value change information calculated by the inspection value change amount calculation unit 2018 is managed. Further, the improvement knowledge management unit 122 manages the inspection value improvement rules created by the inspection value improvement rule creation unit 2019 in addition to the metabo improvement rules created by the metabo improvement rule creation unit 117.

  FIG. 21 is a diagram illustrating an example of test value change information managed by the medical examination information management unit 119. As illustrated in FIG. The amount of change in test values for the metabo subject / preliminary group for one year is managed individually. In this example, for each individual ID 202, information on fasting blood glucose change 2102, systolic blood pressure change 2103, diastolic blood pressure change 2104, triglyceride change 2105, and HDL cholesterol change 2106, which are metabo related test values Is managing. For example, a person with personal ID 202 of K0004 has a fasting blood glucose decrease of 2 mg / dl, systolic blood pressure decreased by 5 mmHg, diastolic blood pressure decreased by 2 mmHg, neutral fat decreased by 10 mg / dl, HDL cholesterol decreased by 2 mg / dl increased. By connecting this information with weight change / lifestyle change information by the personal ID 202, the amount of change in the test value due to weight loss / lifestyle improvement can be calculated.

  FIG. 22 is a diagram illustrating an example of improvement knowledge (inspection value improvement rules) managed by the improvement knowledge management unit 122. The improvement knowledge (test value improvement rule) includes rule ID 601 for linking with the metabo improvement rule of FIG. 6, metabo level 301, weight loss 302, lifestyle change items (meal change 303, periodic exercise habit change) The average fasting blood glucose change 2201, systolic blood pressure average change 2202, diastolic blood pressure average change 2203, triglyceride average change 2204, HDL cholesterol average change Rules 610 to 632 indicating 2205 are managed. For example, rule 632 applies to metabolic syndrome, weight loss of 3 kg or more, good eating habits (not many → not many), regular exercise habits and strong exercise habits (none → yes), drinking In the case of improvement (more than 1 go → 1 go or less), holiday habits (6 days or more → 6 days or more), fasting blood glucose is reduced by 15 mg / dl on average, systolic blood pressure is reduced by 12 mmHg on average, diastolic It shows that blood pressure is reduced by an average of 10 mmHg, neutral fat is reduced by an average of 40 mg / dl, and HDL cholesterol is increased by an average of 10 mg / dl. With this information, it is possible to display the target body weight loss amount of the instructed person input as the target and the average change amount of the test value corresponding to the lifestyle improvement target item for each metabo hit / preliminary group.

  Next, the operation will be described in detail with reference to a flowchart and a sequence diagram. First, an example of a procedure for creating improvement knowledge from medical examination information will be described using the flowchart of FIG. The flowchart in FIG. 23 is obtained by adding an inspection value change amount calculation step 2304 and an inspection value improvement rule creation step 2307 to the flowchart in FIG. 7 of the first embodiment.

  When creation of improvement knowledge is started (701), a metabo corresponding / preliminary group extraction step 702 and a weight loss calculation step 703 are performed. This processing is the same as that in the first embodiment of the metabolic syndrome / preliminary group extraction step 702 and the weight loss calculation step 703.

  In the test value change amount calculation step 2304, first, the test value change amount calculation unit 2018 performs the metabo related test values for two years from the medical examination information of the metabo corresponding / preliminary group extracted by the metabo corresponding / preliminary group extracting unit 112. (Fasting blood glucose, diastolic blood pressure, systolic blood pressure, neutral fat, HDL cholesterol). Next, the inspection value change amount calculation unit 2018 calculates the inspection value change amount, which is a value obtained by subtracting the inspection value of the first year from the inspection value of the second year, for each inspection item and for each individual. Thereby, the amount of change in the test value due to weight loss and lifestyle improvement can be calculated. The calculated test value change amount is recorded in the database 106 in the format of FIG. 21, and is managed by the medical examination information management unit 119.

  The processes of lifestyle change calculation step 704, contribution calculation step 705, knowledge item selection step 706, and metabo improvement rule creation step 707 are the same as those in the first embodiment.

  In the test value improvement rule creation step 2307, first, the test value improvement rule creation unit 2307, from the test value change information of FIG. 21 managed by the medical examination information management unit 119, and the weight change and lifestyle change information of FIG. Metabo level 301 (metabolite or preliminary group), weight loss 302, lifestyle change items selected by knowledge item selection unit 116 (meal change 303, drinking change 307, regular exercise habit change 308, stronger The information of the change of exercise habits 309 and the change of holidays days 310) is acquired. Next, the test value improvement rule creation unit 2307 combines the metabo level, the weight loss, and the value of each lifestyle change item (improvement or unimproved or good habit continuation), and calculates the average value of the test value change by combination. Comprehensively calculated for each inspection item. And the test value improvement which consists of the average change amount of metabolic rate, weight loss, lifestyle change items and test values (fasting blood glucose, systolic blood pressure, diastolic blood pressure, triglyceride, HDL cholesterol) Create improvement knowledge with multiple rules. As shown in FIG. 22, the improvement knowledge to be created (inspection value improvement rule) includes a rule ID 601 for connecting to the metabo improvement rule created in the metabo improvement rule creation step 707, and a metabo level 301 (corresponding or preliminary group). ), Weight loss 302 (0, 1-2 kg, 3 kg or more), each lifestyle change item (meal change 303, alcohol consumption change 307, regular exercise habit change 308, stronger exercise habit change 309, Average fasting blood glucose change 2201, systolic blood pressure average change 2202, diastolic blood pressure average change 2203, triglyceride average change 2204, HDL cholesterol average change This is data in which a plurality of quantities 2205 are recorded. For example, rule 618 is a metabolic prep group with weight loss of 3 kg or more, improved diet (more → less), regular exercise habits and stronger exercise habits (none → none), alcohol consumption In the case of improvement (more than 1 go → 1 go or less), holiday habits (6 days or more → 6 days or more), fasting blood glucose is reduced by an average of 10 mg / dl, systolic blood pressure is reduced by an average of 10 mmHg, diastolic It shows that blood pressure is reduced by an average of 10 mmHg, neutral fat is reduced by an average of 40 mg / dl, and HDL cholesterol is increased by an average of 10 mg / dl. When improvement knowledge (inspection value improvement rule) is created, it is recorded in the database 106 in the format of FIG. 22, and is managed by the improvement knowledge management unit 122. Then, the creation of improvement knowledge is finished (708). Thereby, the average change amount of the test value corresponding to the target weight loss amount and the lifestyle improvement target item of the guidance target person input as the target can be displayed for each metabo corresponding / preliminary group.

  Next, an example of the process flow from the medical examination result input to the improvement information display of the guidance target person using the flowchart of FIG. 27, the medical examination result input screen of FIG. 9, and the improvement information display screen 2401 of FIGS. explain. The flowchart of FIG. 27 is the same as the flowchart of FIG. 18 of the first embodiment, the current test value display step 2705, the estimated test value calculation / display step 2708 after weight reduction, the estimated test value calculation / display step after weight loss / lifestyle improvement 2711 is added. This process is a process in the case where a leader such as a doctor or a public health nurse presents and guides information for improving the metabolic syndrome to the appropriate subject / preliminary group (instructed target person).

  27 is started (1801), a health check result input step 1802, a health check result determination step 1803, a lifestyle improvement item sorting step 1804, and a current improvement rate selection / display step 1805 are performed. These processes are the same as those in the first embodiment. In the following explanation, in the medical examination result input step 1802, the medical examination result of the instructor is input as shown in the medical examination result input screen of FIG. Explain that the habit improvement items are determined as meals, regular exercise habits, strong exercise habits, drinking / day, and days off.

  In the current test value display step 2705, the improvement information creation unit 103 displays the current values of fasting blood glucose, systolic blood pressure, diastolic blood pressure, neutral fat, and HDL cholesterol input in the health check result input step 1802, and The test item reference values (fasting blood glucose 110 mg / dl, systolic blood pressure 130 mmHg, diastolic blood pressure 85 mmHg, neutral fat 150 mg / dl, HDL cholesterol 40 mg / dl) are displayed on the output unit 104.

  In the current improvement rate selection / display step 1805, the improvement rate selection unit 109 uses the improvement knowledge as the current improvement rate (improvement rate from the metabo / preliminary group), the subject's metabo level, weight loss 0 kg. The improvement ratio corresponding to is acquired and displayed on the output unit 104. In this case, since the person to be instructed is a person who is a metabo, the rule 619 is acquired from the improvement knowledge shown in FIG. Thereby, the present improvement rate corresponding to the subject person's metabo level can be displayed.

  FIG. 24 shows the improvement information that the improvement information creation unit 103 displays on the output unit 104 the results of the lifestyle improvement item sorting step 1804, the current improvement ratio selection / display step 1805, and the current test value display step 2705. This is an example of the display screen 2401 and is a screen that is displayed after the health check result of the instructed person is input on the health check result input screen and the execution button is pressed. In this example, the improvement information display screen 1001 in FIG. 10 (Metabo level display field 1002, Weight loss input bar 1010, Lifestyle improvement item display field 1004, Lifestyle improvement item selection buttons 1011 to 1015, Current improvement rate (Metabo In addition to 1003), the current test values (fasting blood glucose 2430, systolic blood pressure 2410, diastolic blood pressure 2420, triglyceride 2450, HDL cholesterol 2440) and each test item Reference values 2412, 2422, 2432, 2442 and 2452 are displayed. Here, the reference values of each test item (fasting blood glucose reference value 2432, systolic blood pressure reference value 2412, diastolic blood pressure reference value 2422, triglyceride reference value 2452, HDL cholesterol reference value 2442) are indicated by dotted lines. .

Returning to the flowchart of FIG.
In the weight loss input step 1806, the lifestyle improvement item sorting step 1804, and the improvement ratio selection / display step 1808 after weight loss, the same processing as that of the first embodiment is performed.

  In the estimated test value calculation / display step 2708 after the weight reduction, first, the estimated test value calculation unit 2010 uses the improvement knowledge (test value improvement rule) in FIG. The average change amounts 2201 to 2205 of the test values corresponding to the target weight loss input in the weight loss input step 1806 are acquired. Then, the estimated test value calculation unit 2010 calculates the estimated test value for each test item by adding the average change amount of the acquired test value to the current test value input in the medical examination result input step 1802, and outputs the output unit 104. To display. In this case, since the person to be instructed is a person who is a metabo, if the target weight loss 3 kg or more is input, the rule 626 is acquired from the improvement knowledge (test value improvement rule). Then, the average change amount 2201 to 2205 of each inspection value of the rule 626 is added to the current inspection value, and the estimated inspection value is calculated and displayed. Thereby, the improvement degree of each test value corresponding to the subject person's metabolic level and the target weight loss can be displayed.

  FIG. 25 shows the improvement information creation unit 103 processing of lifestyle improvement item sorting step 1804 after inputting the target weight loss amount, improvement ratio selection / display step 1808 after weight loss, and estimated test value calculation / display step 2708 after weight loss. This is an example of the improvement information display screen 2401 that displays the result of the above on the output unit 104. In addition to the information displayed on the improvement information display screen 1001 when the target weight loss of 3 kg or more in FIG. 12 is input, the estimated test value after weight loss calculated by the estimated test value calculation unit 2010 (estimated fasting blood glucose level) 2531, estimated systolic blood pressure 2511, estimated diastolic blood pressure 2521, estimated neutral fat 2551, and estimated HDL cholesterol 2541). In this example, an estimated inspection value calculated by adding the average change amount 2201 to 2205 of each inspection value of the rule 626 to the current inspection value is displayed.

Returning to the flowchart of FIG.
In the weight loss determination step 1809, the lifestyle improvement item input step 1810, and the improvement ratio selection / display step 1811 after weight loss / lifestyle improvement, the same processing as in the first embodiment is performed. In the following, in the weight loss determination step 1809, the target weight loss amount for the instructor (metabo subject) is determined to be 3 kg or more, and in the lifestyle improvement item input step 1810, regular exercise is performed as a lifestyle improvement target item. The description will be made assuming that is input.

  In the estimated test value calculation / display step 2711 after weight loss / lifestyle improvement, the estimated test value calculation unit 2010 first calculates the estimated test value after weight loss / lifestyle improvement from the improvement knowledge (test value improvement rules) in FIG. The average change amount of each inspection value corresponding to the lifestyle improvement target item entered in the lifestyle improvement item input step 1810 Obtain 2201 to 2205. Then, the estimated test value calculation unit 2010 calculates the estimated test value for each test item by adding the average change amount of the acquired test value to the current test value input in the medical examination result input step 1802, and outputs the output unit 104. To display. In this example, since the subject is a metabolic subject and the target weight loss amount is 3 kg or more and periodic exercise habit improvement is input, the rule 628 is acquired from the improvement knowledge (test value improvement rule) of FIG. Then, the average change amount 2201 to 2205 of each inspection value of the rule 628 is added to the current inspection value, and the estimated inspection value is calculated and displayed. Thereby, the improvement level of each test value corresponding to the subject person's metabolic level, target weight loss, and lifestyle improvement target items can be displayed.

  In the lifestyle improvement item determination step 1812, the same processing as that in the first embodiment is performed to determine the lifestyle improvement target item of the guidance target person.

  FIG. 26 shows that the improvement information creation unit 103 outputs the results of the processing of the improvement ratio selection / display step 1811 after weight loss / lifestyle improvement, the estimated test value calculation / display step 2711 after weight loss / lifestyle improvement, the output unit 104. This is an example of an improvement information display screen 2401 displayed on the screen. In addition to the information displayed on the improvement information display screen 1001 when the target weight loss amount in FIG. 13 is 3 kg or more and the lifestyle improvement target item is input as regular exercise, it is calculated by the estimated test value calculation unit 2010. The estimated test values after weight loss and lifestyle improvement (estimated fasting blood glucose 2631, estimated systolic blood pressure 2611, estimated diastolic blood pressure 2621, estimated triglyceride 2651, estimated HDL cholesterol 2641) are displayed. In this example, an estimated inspection value calculated by adding the average change amount 2201 to 2205 of each inspection value of the rule 628 to the current inspection value is displayed.

As described above, in the metabolic syndrome improvement information calculation system according to the second embodiment of the present invention, the estimated test value calculation unit 2010 has improved knowledge (examination information) obtained as a result of analyzing the medical examination information of the metabolic subject person / preliminary group. Value improvement rules), obtain the average change amount of each test value corresponding to the target subject's metabo level, target weight loss, and lifestyle improvement target items, and calculate the estimated test value after weight loss and lifestyle improvement -Since it displays, there exists an effect which can show quantitatively the improvement degree of each test value when a guidance object person loses weight and improves a lifestyle.
In the second embodiment, the example in which the improvement information display screen 2401 is displayed on the display that is the output unit 104 has been described. As shown in FIG. 26 after the target body weight loss amount and the lifestyle improvement target are determined. The improvement information display screen 2401 may be output as a report to a printer or the like and handed over to the instructor. By doing in this way, the person to be instructed can always see the metabolic improvement information and can raise health awareness.
Further, in Example 2 above, an example in which weight loss is divided into 0 kg, 1-2 kg, 3 kg or more to create improvement knowledge (test value improvement rule) has been described, but the weight is 1 kg, 2 kg, 3 kg, 4 kg. When there is a lot of medical checkup information of a person who has decreased by 5 kg, improvement knowledge (test value improvement rule) may be created using continuous values without dividing the weight loss amount as described above. By doing this, it is possible to display the average change amount of the test value when the weight loss amount is input as a continuous value (1 kg, 2 kg, 3 kg, 4 kg, 5 kg, etc.), and can provide detailed guidance. .
In Example 2 above, an example of creating improvement knowledge (test value improvement rule) using the weight loss amount has been described, but the weight loss rate (1%, 2%, 3%, 4%, 5%・ ・) May be used to create improvement knowledge (inspection value improvement rules). The weight loss rate can be calculated by calculating the weight loss (weight of the first year-weight of the second year) from the weight of the two years and dividing this by the weight of the first year. If there are many people with each value of weight loss rate, improvement knowledge is created using the continuous value (1%, 2%, 3%, 4%, 5% ...) as it is, and the number of people with each value If there is little, for example, it is divided into 0%, 1-4%, 5% or more. By creating improvement knowledge (test value improvement rule) using the weight loss rate in this way, it is possible to calculate and display the average change amount of the test value in consideration of not only the weight loss but also the original weight.
Also, in Example 2 above, the metabolic rate, weight loss, and lifestyle change values are combined, the average change amount of the test value for each combination is comprehensively calculated, and improvement knowledge (test value improvement rule) is created. Although the example has been described, improvement knowledge may be created by comprehensively calculating the average change rate (%) of the inspection value. This can be realized by the following processing. First, the amount of change in the inspection value (the inspection value in the second year-the inspection value in the first year) is calculated from the inspection values for two years of multiple people, and this is divided by the inspection value in the first year. Value change rate is calculated for each individual and each inspection item. Next, the metabolic value, weight loss amount, and lifestyle change values are combined, the average value of the test value change rate for each combination is comprehensively calculated, and improvement knowledge (test value improvement rule) is created. In this way, weight loss can be achieved by creating improvement knowledge (test value improvement rules) that has multiple combinations of metabolic rate, weight loss, lifestyle change values, and average change rate (%) of test values by combination.・ Accurately considering the current test value of the person being instructed, such as “estimated test value = current test value + average change rate of test value × current test value” It can be calculated.
In Example 2 above, on the improvement information display screen, the current test value (fasting blood glucose, systolic blood pressure, diastolic blood pressure, triglyceride, HDL cholesterol) and the test value after weight loss / lifestyle improvement, I explained how to display it together with the reference value, but when the current test value is higher than the reference value (abnormal test value) or when the test value after weight loss / lifestyle improvement is lower than the reference value, highlight it. Also good. For example, display only items whose current test value is greater than or equal to the reference value (test value abnormality) .If the current test value is greater than or equal to the reference value (abnormal test value), turn the bar graph red. If the inspection value falls below the reference value, the bar graph is turned blue, the item with the best inspection value among the five inspection items is enlarged, and the five inspection items are rearranged in order of increasing inspection value. . By highlighting in this way, it is possible to perform guidance while displaying it in an easy-to-understand manner for the guidance target person.

  Example 3 of the present invention will be described in detail with reference to the drawings. In the following explanation, the metabolic syndrome improvement information computing terminal has a health checkup system that performs reservation and management of health checkups, health checkup information management, etc., reservation and management of health guidance, management of action targets for health guidance subjects, etc. The case where it cooperates with the health guidance system which performs is explained.

FIG. 28 is a diagram illustrating a configuration example of a metabolic syndrome improvement information calculation system according to the third embodiment of the present invention. It comprises a metabolic syndrome improvement information calculation terminal 101, a database 106 exchanged by the metabolic syndrome improvement information calculation terminal 101, a health checkup system 2801, and a health guidance system 2802.
The metabolic syndrome improvement information calculation terminal 101 includes an input unit 102, an improvement information creation unit 103, and an output unit 104. The input unit 102 is a mouse and a keyboard. The output unit 104 is a display that outputs the result calculated by the metabolic syndrome improvement information calculation terminal 101.
The database 106 includes an improvement knowledge management unit 122 and manages improvement knowledge having a plurality of metabo improvement rules and inspection value improvement rules as shown in FIGS. 6 and 22 created by the processing of the first and second embodiments.
The improvement information creation unit 103 includes a medical examination result determination unit 107, an improvement item sorting unit 108, an improvement rate selection unit 109, and an estimated test value calculation unit 2010 described in the second embodiment.
The health checkup system 2801 is a system for scheduling and managing health checkups and managing health checkup information for checkup recipients, as described above. Result, lifestyle interview result).
As described above, the health guidance system 2802 is a system that performs reservation and management of health guidance, management of action targets of the health guidance target person, and the like, and has action target information 2811 of a plurality of health guidance target persons.

  FIG. 29 is a diagram illustrating an example of action target information of a health guidance target person managed by the health guidance system. It has an ID 2901 for specifying a health guidance subject, a metabolic level 301, a target weight loss 2903 for the health guidance subject, and lifestyle improvement goal items 2904-2906.

Next, a method for linking the metabolic syndrome improvement information calculation terminal 101, the medical examination system 2801, and the health guidance system 2802 will be described. An explanation will be given of a case in which the health check-up examinee is a metabo subject or a reserve group.
The medical checkup system 2801 first collects medical checkup results after the checkup of the checkup recipient. Then, the metabolic syndrome improvement information calculation terminal 101 is activated, and the health check result of the health check recipient is input, for example, a desired health check result is transmitted from the health check system 2801.
As described in the first and second embodiments, the metabolic syndrome improvement information calculation terminal 101 displays the improvement information display screen on the output unit 104, allows the input unit 102 to input weight loss and lifestyle improvement items, and determines the weight. Guidance is given by obtaining and displaying the improvement rate (improvement rate from the metabo subject / preliminary group) and the average change in the test value from the improvement knowledge when decreasing and improving lifestyle habits.
Next, when the target weight loss amount and lifestyle improvement target items of the health check-up examinee are determined, the metabolic syndrome improvement information computing terminal 101 uses the determined target weight loss amount and lifestyle improvement target items as health target information This is provided to the guidance system 2802 and registered as shown in FIG. Then, the health guidance system 2802 performs regular follow-up of the medical checkup recipient based on the action target information.

As described above, the metabolic syndrome improvement information calculation system according to the third embodiment of the present invention, the metabolic syndrome improvement information calculation terminal 101 acquires the medical checkup result of the target person managed by the medical checkup system. There is an effect that a person can save time and effort to manually input the health check result of the person to be instructed.
In addition, the metabolic syndrome improvement information calculation system of Example 3 of the invention is based on the improvement knowledge that is a result of analyzing the medical examination information of the metabolic subject person / preliminary group, the target weight loss amount of the instructor, lifestyle improvement Since the target can be determined, there is an effect that an action target effective for improving the metabolic syndrome can be determined.

101 ・ ・ ・ Metabolic syndrome improvement information calculation terminal
102 ... Input section
103 ・ ・ ・ Improvement information creation department
104 ... Output section
105 ・ ・ ・ Improvement knowledge creation department
106 ・ ・ ・ Database
107 ... health examination result judgment part
108 ・ ・ ・ Improvement item sort part
109 ・ ・ ・ Improvement rate selection section
112 ・ ・ ・ Applicable to Metabo / Preliminary group extraction unit
113 ・ ・ ・ Weight loss calculation part
114 ・ ・ ・ Lifestyle change calculator
115 ... Contribution calculation unit
116 ... Knowledge Item Selection Department
117 ・ ・ ・ Metabo improvement rule creation part
119 ... Health Checkup Information Management Department
120 ... Contribution Information Management Department
122 ・ ・ ・ Improvement Knowledge Management Department
201 ・ ・ ・ Checkup ID
202 ・ ・ ・ Personal ID
203 ... Date of consultation
204 ・ ・ ・ Gender
205 ・ ・ ・ Age
209 height
210 ... weight
211 ... Abdominal circumference
212 ・ ・ ・ Fasting blood glucose level
213 ・ ・ ・ systolic blood pressure
214 ・ ・ ・ diastolic blood pressure
215 ... neutral fat
216 ・ ・ ・ HDL-C
220 ... meal amount
221 ... meal speed
222 ・ ・ ・ Meal balance
223 ... smoking
224 ... Drinking amount / day
225: Regular exercise
226 ... Strong exercise
227 ・ ・ ・ Holidays / month
228 ... Hobby
301 ・ ・ ・ Metabo level
302 ・ ・ ・ weight loss
303 ・ ・ ・ Meal change
304 ・ ・ ・ Changes in meal speed
305 ・ ・ ・ Meal balance change
306 ・ ・ ・ Change in smoking
307 ... Change in drinking
308: Regular exercise changes
309 ・ ・ ・ Strong movement change
310 ・ ・ ・ Changes in days off
311 ・ ・ ・ Hobby change
312 ・ ・ ・ Applicable to Metabo / Improved from the preliminary group
401 ・ ・ ・ Lifestyle items
402 ... Contribution
403 ... 95% confidence interval
601 ... Rule ID
602 ・ ・ ・ Improvement rate
610-632 ... Rule
701 ... Start step
702 ... Metabo corresponding / preliminary group extraction step
703 ... Weight loss calculation step
704 ... Lifestyle change calculation step
705 ... Contribution calculation step
706 ・ ・ ・ Knowledge item selection step
707 ... Metabo improvement rule creation step
708 ・ ・ ・ End step
801 ・ ・ ・ Checkup result input screen
802 ... Execution button
804 ・ ・ ・ Gender input field
805 ・ ・ ・ Abdominal circumference input field
806 ・ ・ ・ Fasting blood glucose input field
807 ・ ・ ・ systolic blood pressure input field
808 ・ ・ ・ diastolic blood pressure input field
809 ... Neutral fat input field
810 ・ ・ ・ HDL-C input field
811 ・ ・ ・ Meal amount input field
812 ... Periodic exercise input field
813 ... Strong exercise input field
814 ・ ・ ・ Drinking amount input field
815 ... holiday days input field
836 ～ 847 ・ ・ ・ Checkup result input button
1001 ・ ・ ・ Improvement information display screen
1002 ・ ・ ・ Metabo level display column
1003 ・ ・ ・ Current improvement rate
1004 ... Lifestyle improvement item display field
1010 ... Weight loss input bar
1011 ・ ・ ・ Meal amount improvement button
1012 ... Holiday days improvement button
1013 ・ ・ ・ Drinking amount improvement button
1014 ... Exercise habit (regular) improvement button
1015 ... Exercise habit (stronger) improvement button
1104 ・ ・ ・ Improvement rate after 1-2kg weight loss
1204 ・ ・ ・ Improvement ratio after weight loss of 3kg or more
1304 ・ ・ ・ Improvement ratio after weight loss / lifestyle improvement
1801 ・ ・ ・ Starting step
1802 ・ ・ ・ Checkup result input step
1803 ・ ・ ・ Health check result judgment step
1804 ... Lifestyle improvement item sorting step
1805 ・ ・ ・ Current improvement ratio selection / display step
1806 ・ ・ ・ Weight loss input step
1808 ・ ・ ・ Selection and display step of improvement after weight loss
1809 ... Weight loss determination step
1810 ・ ・ ・ Lifestyle improvement item input step
1811 ・ ・ ・ Selection and display of improvement ratio after weight loss / lifestyle improvement
1812 ・ ・ ・ Lifestyle improvement item decision step
1813 ・ ・ ・ End step
1903 ・ ・ ・ Get medical examination information
1904 ・ ・ ・ Registration of weight change and lifestyle change information
1905 ・ ・ ・ Acquisition of weight change / lifestyle change information
1906 ・ ・ ・ Contribution information registration
1907 ・ ・ ・ Weight change, lifestyle change, contribution information acquisition
1908 ・ ・ ・ Improvement knowledge registration
1909 ・ ・ ・ Entering health check result
1910 ・ ・ ・ Acquisition level of lifestyle improvement items and current rate of improvement
1911 ・ ・ ・ Input weight loss
1912 ・ ・ ・ Acquisition of lifestyle improvement items ・ Acquire improvement ratio after weight loss
1913 ・ ・ ・ Enter target weight loss / lifestyle improvement items
1914 ・ ・ ・ Acquisition of improvement ratio after weight loss / lifestyle improvement
2010: Estimated test value calculation unit
2018 ・ ・ ・ Inspection value change calculation part
2019 ・ ・ ・ Test value improvement rule creation department
2102 ・ ・ ・ Fasting blood glucose change
2103 ・ ・ ・ Change in systolic blood pressure
2104 ・ ・ ・ diastolic blood pressure change
2105 ・ ・ ・ Change in neutral fat
2106 ・ ・ ・ HDL-C variation
2201 ・ ・ ・ Fasting blood glucose mean change
2202 ・ ・ ・ Average change in systolic blood pressure
2203 ・ ・ ・ Average change in diastolic blood pressure
2204 ・ ・ ・ Average change in neutral fat
2205 ・ ・ ・ HDL-C average variation
2304 ... Inspection value change calculation step
2307 ... Inspection value improvement rule creation step
2401 ・ ・ ・ Improvement information display screen
2410 ・ ・ ・ Current systolic blood pressure
2412 ... systolic blood pressure reference value
2420 ・ ・ ・ Current diastolic blood pressure
2422 ... Diastolic blood pressure reference value
2430: Current fasting blood sugar
2432 ・ ・ ・ Fasting blood glucose reference value
2440 ・ ・ ・ Current HDL-C
2442 ・ ・ ・ HDL-C reference value
2450 ・ ・ ・ Neutral fat
2452 ... Neutral fat reference value
2511 ・ ・ ・ Estimated systolic blood pressure after weight loss
2521 ・ ・ ・ Estimated diastolic blood pressure after weight loss
2531 ・ ・ ・ Estimated fasting blood glucose after weight loss
2541 ・ ・ ・ Estimated HDL-C after weight loss
2551 ・ ・ ・ Estimated neutral fat after weight loss
2611: Estimated systolic blood pressure after weight loss and lifestyle improvement
2621: Estimated diastolic blood pressure after weight loss and lifestyle improvement
2631 ・ ・ ・ Estimated fasting blood glucose after weight loss and lifestyle improvement
2641 ... Estimated HDL-C after weight loss and lifestyle improvement
2651 ・ ・ ・ Estimated neutral fat after weight loss and lifestyle improvement
2705 ・ ・ ・ Current inspection value display step
2708 ... Estimated test value calculation / display step after weight loss
2711 ... Estimated test value calculation / display step after weight loss / lifestyle improvement
2801 ・ ・ ・ Checkup system
2802 ・ ・ ・ Health guidance system
2810 ・ ・ ・ Health Checkup Information Management Department
2811 ・ ・ ・ Action Target Information Management Department
2903 ・ ・ ・ Target weight loss
2904-2906 ... Lifestyle improvement items.

Claims (13)

A metabolic syndrome improvement information calculation system that presents information for improving individual metabolic syndrome,
An input unit for inputting a user's medical checkup result, a target weight loss, a lifestyle improvement target;
Improvement that is the rate of improvement from the metabolic syndrome applicable / preliminary group according to metabolic syndrome applicable / preliminary group, weight loss amount, lifestyle change, based on the medical examination information of the two years above Calculate the ratio and create a database containing the metabo improvement knowledge created,
From the medical checkup result of the user input to the input unit, a determination of a metabolic level corresponding to the metabolic syndrome or a preliminary group, and a checkup result determination unit that determines a lifestyle improvement item that is a bad lifestyle of the user; ,
From the Metabo improvement knowledge, obtain the improvement rate for each lifestyle improvement item according to the target level weight loss input to the Metabo level and the input unit, and the improvement rate for each lifestyle item in descending order, An improvement item sorting section for sorting the lifestyle improvement items;
From the metabo improvement knowledge, the metabo level, the target weight loss input to the input unit, the improvement rate selection unit that acquires the improvement rate corresponding to the lifestyle improvement target,
A metabolic syndrome improvement information calculation system comprising: an output unit that outputs the lifestyle improvement items sorted by the improvement item sorting unit and the improvement rate acquired by the improvement rate selection unit. The metabolic syndrome improvement information calculation system according to claim 1,
Furthermore, as a configuration for creating the above-mentioned metabo improvement knowledge,
From the medical examination information, 2 years of medical examination information corresponding to the metabolic syndrome / preliminary group is extracted, and whether or not the metabolic syndrome corresponding / preliminary group has been improved after 1 year Metabo corresponding / preliminary group extraction unit to judge whether there is improvement,
A weight loss amount calculation unit for calculating a weight loss amount of the metabolic syndrome subject person / preliminary group from the medical examination information of the metabolic syndrome relevant / preliminary group for two years;
A lifestyle change calculating unit for calculating a change in lifestyle of the metabolic syndrome corresponding / preliminary group from medical examination information for two years of the metabolic syndrome corresponding / preliminary group;
A statistical analysis of the relationship between the lifestyle change and the presence or absence of improvement from the metabo corresponding / preliminary group, and a contribution degree calculating unit for calculating the contribution to the improvement from the metabo corresponding / preliminary group of lifestyle changes,
A knowledge item selection unit for selecting a lifestyle change knowledge item that is a lifestyle change with a high contribution, and
The said improvement ratio which shows the ratio of the number of the improvers from the said metabolic syndrome applicable and a preliminary | backup group with respect to the conditions which combined the said weight loss amount and the value of the said lifestyle change knowledge item according to the said metabolic syndrome applicable and a preliminary | backup group, and its combination A metabolic syndrome improvement information calculation system comprising a metabolic improvement rule creation unit for calculating. The metabolic syndrome improvement information calculation system according to claim 1,
The database calculates the average change amount of each test value for each metabolic syndrome corresponding / preliminary group, weight loss amount, and lifestyle change from the medical examination information in addition to the metabolic improvement knowledge, and the created test Value improvement knowledge is stored,
The metabo level acquired from the test value improvement knowledge, the target weight loss input to the input unit, the average change amount of each test value corresponding to the lifestyle improvement target, and the current input to the input unit From each test value of, having an estimated test value calculation unit that calculates each estimated test value,
The said output part outputs each estimated test value calculated in the said estimated test value calculation part in addition to the said lifestyle improvement item and the said improvement rate, The metabolic syndrome improvement information calculation system characterized by the above-mentioned. In the metabolic syndrome improvement information calculation system according to claim 3,
Furthermore, as a configuration for creating the inspection value improvement knowledge,
A test value change amount calculating unit that calculates a test value change amount of the metabolic syndrome corresponding person / preliminary group from the medical examination information of the metabolic syndrome corresponding / preliminary group for two years;
A test value improvement rule creation unit that calculates the average value of the test value change amount for the combination of the weight loss amount and the lifestyle change knowledge item value and the combination of the weight loss amount and the lifestyle change knowledge item value for each of the metabolic syndrome corresponding / preliminary groups. Metabolic syndrome improvement information calculation system characterized by The metabolic syndrome improvement information calculation system according to claim 1,
The health check result of the user input to the input unit includes gender, waist circumference, fasting blood glucose, neutral fat, HDL cholesterol, systolic blood pressure, diastolic blood pressure, dietary amount, presence or absence of regular exercise habits, Metabolic syndrome improvement information calculation system characterized by presence / absence of exercise habits, alcohol consumption, and days of holiday.   The metabolic syndrome improvement information calculation system according to claim 1 is connected to a medical examination system that performs reservation and management of medical examinations, health information management, and the like, and obtains medical examination results from the medical examination system. Metabolic syndrome improvement information calculation system.   The metabolic syndrome improvement information calculation system according to claim 1 is connected to a health guidance system that performs reservation and management of health guidance, management of action targets of health guidance subjects, and the like, target weight loss, lifestyle improvement target A metabolic syndrome improvement information calculation system characterized by providing items as action target information to the health guidance system. Computer
An input unit for inputting a user's health check result, target weight loss, lifestyle improvement target,
Improvement that is the rate of improvement from the metabolic syndrome applicable / preliminary group according to metabolic syndrome applicable / preliminary group, weight loss amount, lifestyle change, based on the medical examination information of the two years above A database that stores the metabo improvement knowledge created by calculating the ratio,
From the health checkup result of the user input to the input unit, the determination of the metabolic syndrome corresponding to the metabolic syndrome or the preliminary group, and the health check result determination unit that determines the lifestyle improvement items that are bad lifestyle of the user,
From the Metabo improvement knowledge, obtain the improvement rate for each lifestyle improvement item according to the target level weight loss input to the Metabo level and the input unit, and the improvement rate for each lifestyle item in descending order, An improvement item sorting section for sorting the lifestyle improvement items,
An improvement rate selection unit that acquires the improvement rate corresponding to the metabolic rate, the target weight loss input to the input unit, and the lifestyle improvement target from the metabo improvement knowledge,
Function as an output unit that outputs the lifestyle improvement items sorted by the improvement item sorting unit and the improvement rate acquired by the improvement rate selection unit;
A program for functioning as a metabolic syndrome improvement information calculation system that presents information for improvement of individual metabolic syndrome. In the program for functioning as the metabolic syndrome improvement information calculation system according to claim 8,
Further, as a configuration for creating the above-mentioned metabo improvement knowledge, a computer,
From the medical examination information, 2 years of medical examination information corresponding to the metabolic syndrome / preliminary group is extracted, and whether or not the metabolic syndrome corresponding / preliminary group has been improved after 1 year Metabo corresponding / preliminary group extraction unit to judge whether there is improvement,
A weight loss amount calculation unit for calculating a weight loss amount of the metabolic syndrome subject person / preliminary group from the medical examination information for two years of the metabolic syndrome relevant / preliminary group,
A lifestyle change calculating unit for calculating a change in lifestyle of the metabolic syndrome corresponding / preliminary group from medical examination information for two years of the metabolic syndrome corresponding / preliminary group,
Statistically analyzing the relationship between the lifestyle change and the presence or absence of improvement from the metabolic group, the contribution calculation unit to calculate the contribution to the improvement from the metabolic group corresponding to the metabolic group, reserve group,
A knowledge item selection unit for selecting a lifestyle change knowledge item that is a lifestyle change with a high degree of contribution,
For each of the metabolic syndrome relevant / preliminary groups, the improvement ratio indicating the ratio of the weight loss and the value of the lifestyle change knowledge item and the ratio of the number of improvers from the metabolic syndrome relevant / preliminary group for the combination It has a configuration that functions as a metabo improvement rule creation unit to calculate,
Program to function as a metabolic syndrome improvement information calculation system. The program for functioning as the metabolic syndrome improvement information calculation system according to claim 8, further comprising:
In the database, in addition to the metabolic improvement knowledge, from the medical examination information, calculate the average change amount of each test value by metabolic syndrome applicable / preliminary group, by weight loss, by lifestyle change, and created the test Function as a stored value improvement knowledge,
The computer inputs the metabo level acquired from the test value improvement knowledge, the target weight loss input to the input unit, the average change amount of each test value corresponding to the lifestyle improvement target, and the input unit From the current test values that have been made, it is configured to function as an estimated test value calculation unit that calculates each estimated test value,
In addition to the lifestyle improvement items and the improvement ratio, the output unit functions as one that outputs each estimated test value calculated by the estimated test value calculation unit,
Program to function as a metabolic syndrome improvement information calculation system. In the program for functioning as the metabolic syndrome improvement information calculation system according to claim 10,
Further, as a configuration for creating the inspection value improvement knowledge, a computer,
A test value change amount calculating unit for calculating a test value change amount of the metabolic syndrome corresponding person / preliminary group from the medical examination information for two years of the metabolic syndrome corresponding / preliminary group,
Functions as a test value improvement rule creation unit that calculates the average value of the test value change amount with respect to the condition that combines the weight loss amount and the value of the lifestyle change knowledge item for each metabolic syndrome corresponding / preliminary group Having the configuration,
Program to function as a metabolic syndrome improvement information calculation system. In the program for functioning as the metabolic syndrome improvement information calculation system according to claim 8,
The health check result of the user input to the input unit includes gender, waist circumference, fasting blood glucose, neutral fat, HDL cholesterol, systolic blood pressure, diastolic blood pressure, dietary amount, presence or absence of regular exercise habits, The presence or absence of exercise habits, the amount of drinking, the number of days off
Program to function as a metabolic syndrome improvement information calculation system.   A computer-readable recording medium on which the program according to any one of claims 8 to 12 is recorded.

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