Advice device, advice method, advice program, and advice system

Abstract

An advice apparatus (50) comprises a computation device (510) and a communication device (530) that is connected to the computation device (510) so as to be able to communicate therewith. The communication device (530) acquires a measurement value of an advanced glycation end product of a measurement subject, and a plurality of items of other data that relate to the measurement subject that are different from the measurement value of the advanced glycation end product. The computation device (510) generates advice information that relates to the life of the measurement subject on the basis of the measurement value of the advanced glycation end product acquired by the communication device (530), and at least one item of other data from among the plurality of items of other data acquired by the communication device (530).

Description

Technical Field

[0001] The present disclosure relates to an advice device, an advice method, an advice program, and an advice system that provide advice regarding life.

Background Art

[0002] As one of the substances that cause aging, advanced glycation end products (AGEs; hereinafter also referred to as "AGEs") are mentioned. Advanced glycation end products are a general term for a plurality of compounds, and are produced by the reaction of sugars and proteins through binding, oxidation, condensation, and dehydration. AGEs are thought to accumulate in the body due to disruptions in lifestyle habits such as eating habits, exercise habits, sleep habits, inflammation in response to fever or injury, and stress, and cause lifestyle-related diseases (e.g., diabetes, dementia, etc.) or age-related diseases.

[0003] Patent Document 1 discloses a sensor that receives fluorescence excited by light irradiated on the skin of a measurement subject and measures the degree of AGEs accumulation based on the intensity of the received fluorescence.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] Traditionally, when excessive accumulation of AGEs causes the AGEs measurement to fall below a certain threshold, the subject's supporter may offer advice to improve their lifestyle. However, if advice is based solely on AGEs measurements, the supporter may not be able to determine specifically which lifestyle changes should be made, potentially failing to provide the most appropriate advice for the subject. On the other hand, if the supporter provides comprehensive advice on all generally known lifestyle habits, it may inadvertently negate lifestyle habits that the subject is already trying to improve. In such cases, the subject's motivation to improve their lifestyle may decrease, and their receptiveness to advice may be significantly reduced.

[0006] This disclosure was made to solve the aforementioned problem, and its purpose is to provide technology that offers optimal advice on reviewing lifestyle habits. [Means for solving the problem]

[0007] An advisory device according to certain aspects of this disclosure is an advisory device that provides lifestyle advice. The advisory device comprises a computing device and a communication device that is communicably connected to the computing device. The communication device acquires a measured value of advanced glycation end products (AGEs) of a subject and several other data about the subject that are different from the AGEs measured value. The computing device generates lifestyle advice information for the subject based on the AGEs measured value acquired by the communication device and at least one of the other data acquired by the communication device.

[0008] An advice method according to another aspect of this disclosure is a method for providing lifestyle advice by a computing device. The advice method includes, as a process performed by the computing device, the steps of: obtaining a measured value of an advanced glycation end products (AGEs) of a person being measured and a plurality of other data about the person that are different from the AGEs measurement; and generating lifestyle advice information for the person being measured based on the AGEs measurement obtained by the acquisition step and at least one of the other data obtained by the acquisition step.

[0009] An advice program according to another aspect of this disclosure is a program that provides lifestyle advice. The advice program causes a computing device to perform the steps of: acquiring a measured value of an advanced glycation end products (AGEs) of a subject and several other data about the subject that are different from the AGEs measured value; and generating lifestyle advice information for the subject based on the AGEs measured value acquired in the acquisition step and at least one of the other data acquired in the acquisition step.

[0010] An advice system according to another aspect of this disclosure is a system that provides lifestyle advice. The advice system comprises a measuring device, an advice device, and a display device. The measuring device measures the advanced glycation end products (AGEs) of a person being measured. The advice device generates lifestyle advice information for the person being measured based on the AGEs measurement obtained from the measuring device and at least one other data from a plurality of other data about the person being measured that is different from the AGEs measurement. The display device displays the advice information obtained from the advice device. [Effects of the Invention]

[0011] According to this disclosure, in addition to the measured values ​​of the subject's advanced glycation end products (AGEs), advice information regarding the subject's lifestyle is provided based on at least one other piece of data from a group of different data points concerning the subject, which differs from the AGEs measured values. This makes it possible to provide the subject with optimal advice on reviewing their lifestyle habits. [Brief explanation of the drawing]

[0012] [Figure 1] This is a diagram showing the advice system according to an embodiment. [Figure 2] This figure shows an example of a measurement of skeletal muscle mass. [Figure 3] This figure shows an example of sleep data. [Figure 4] This figure shows an example of how blood glucose levels change over time. [Figure 5] This figure shows an example of log data related to meals. [Figure 6] This is a diagram to explain the AGEs evaluation ranking. [Figure 7] This diagram shows the configuration of the advice device according to the embodiment. [Figure 8] This is a diagram illustrating the user identification information table stored in the advice device according to the embodiment. [Figure 9] This is a diagram illustrating the browsing information table stored by the advice device according to the embodiment. [Figure 10] This figure shows an example of the relationship between AGEs and whether or not sleep has improved. [Figure 11] This figure shows an example of how AGEs scores improved after providing advice on sleep habits. [Figure 12] This figure shows an example of how AGEs scores improved after providing advice on sleep and eating habits. [Figure 13] This figure shows an example of the relationship between AGEs and skeletal muscle mass, specifically whether or not improvements have been made. [Figure 14] This figure shows an example of skeletal muscle mass prediction. [Figure 15] It is a diagram showing an example of the improvement status of the AGEs score when providing advice information regarding exercise habits based on the predicted skeletal muscle mass. [Figure 16] It is a diagram showing an example of the improvement status of the AGEs score when no advice information is provided. [Figure 17] It is a diagram showing an example of the improvement status of the AGEs score when providing advice information regarding exercise habits based on the predicted skeletal muscle mass. [Figure 18] It is a diagram showing an example of the display screen in the display device according to the embodiment. [Figure 19] It is a diagram showing an example of the display screen in the display device according to the embodiment. [Figure 20] It is a diagram showing an example of the display screen in the display device according to the embodiment. [Figure 21] It is a diagram showing an example of the display screen in the display device according to the embodiment. [Figure 22] It is a diagram showing an example of the display screen in the display device according to the embodiment. [Figure 23] It is a flowchart of the advice process executed by the advice device according to the embodiment.

Embodiments for Carrying Out the Invention

[0013] This embodiment will be described in detail while referring to the drawings. For the same or corresponding parts in the drawings, the same reference numerals are given, and the description thereof will not be repeated in principle.

[0014] [Configuration of the Advice System] The advice system 1 according to an embodiment will be described with reference to Figures 1 to 6. Figure 1 is a diagram showing the advice system 1 according to an embodiment. As shown in Figure 1, the advice system 1 comprises an AGEs measuring device 11 for measuring the AGEs of a person being measured, a plurality of other measuring devices for measuring multiple other data related to the person being measured that are different from the AGEs measurement values, a display device 30, and an advice device 50. The person being measured includes healthy individuals, individuals suspected of having lifestyle-related diseases or age-related diseases such as diabetes, individuals who have already developed lifestyle-related diseases or age-related diseases, and elderly people using nursing care facilities.

[0015] The AGEs measuring device 11 non-invasively measures the AGEs of a subject. Among the various compounds contained in AGEs, some have the property of emitting fluorescence when irradiated with specific light. The AGEs measuring device 11 measures the AGEs of a subject by utilizing the properties of such compounds. Specifically, the AGEs measuring device 11 receives the fluorescence excited by light irradiated onto the subject's skin using a photodetector (not shown), and measures the degree of AGEs accumulation based on the intensity of the received fluorescence.

[0016] Since AGEs can change over a period of one to several weeks, subjects measure their AGEs at a frequency of, for example, once every week or several weeks. The AGEs measurement results obtained by the AGEs measuring device 11 are transmitted to the advice device 50 as subject data. The AGEs measurement results obtained by the AGEs measuring device 11 include, for example, the intensity of the fluorescence received by the AGEs measuring device 11 and a value converted from the degree of AGEs accumulation to a score. The AGEs measurement results may also include a corrected value obtained by correcting the intensity of the fluorescence received by the AGEs measuring device 11 and the value converted from the degree of AGEs accumulation to a score.

[0017] The other measuring devices include a body composition analyzer 12, a blood pressure monitor 14, an activity monitor 16, a vegetable intake measuring device 17, a sleep sensor 18, a bone densitometer 19, and a continuous blood glucose monitor 20.

[0018] The body composition analyzer 12 measures data related to the subject's body composition, including skeletal muscle mass (SMI: Skeletal Muscle Mass Index, hereinafter also referred to as "SMI"), weight, body mass index (BMI: Body Mass Index), body fat percentage, visceral fat level, basal metabolic rate, and body age. In the advice system 1 according to the embodiment, an example is shown in which the body composition analyzer 12 measures the subject's SMI.

[0019] In diagnosing sarcopenia, a condition characterized by a decrease in overall muscle mass, leading to a decline in muscle strength and physical function, it is essential to measure the decrease in SMI, along with decreased walking speed and grip strength. While SMI declines with age or disease, the SMI of the quadriceps muscles, which develop through exercise, can be improved by improving lifestyle habits such as diet and exercise. SMI is expressed as the sum of the skeletal muscle mass of the limbs divided by the square of the height, and reference values ​​for sarcopenia have been established for both men and women.

[0020] For example, Figure 2 shows an example of skeletal muscle mass (SMI) measurements. In Figure 2, a graph is shown showing the fluctuation of SMI when the horizontal axis is the month of measurement and the vertical axis is SMI. As shown in Figure 2, for men, it is 7.0 kg / m². 2 For women, 5.7 kg / m 2 These values ​​are established as reference values. If the SMI measured by the body composition analyzer 12 is above these reference values, the subject is considered not to have sarcopenia, and if the SMI measured by the body composition analyzer 12 is below these reference values, the subject is considered to have sarcopenia.

[0021] SMI is difficult to measure even after improving lifestyle habits for several weeks, and only begins to be reflected in the measurement after several months of lifestyle improvements. For this reason, subjects measure their SMI at a frequency of, for example, once every few months. The SMI measurement results obtained by the body composition analyzer 12 are transmitted as subject data to the advice device 50 at the time of measurement (frequency of once every few months).

[0022] The blood pressure monitor 14 measures the blood pressure of the person being measured. Since blood pressure can constantly change, the person being measured measures their blood pressure at a fixed time each day, for example. The blood pressure measurement results obtained by the blood pressure monitor 14 are transmitted as person data to the advice device 50, for example, at the time of measurement (once a day).

[0023] The activity tracker 16 measures data related to the subject's exercise, such as exercise time, distance, steps, heart rate, and calories burned. The subject exercises while wearing the wearable activity tracker 16, and the measured values ​​may change depending on the level of activity. The exercise data obtained by the activity tracker 16 is transmitted as subject data to the advice device 50, for example, at the time of measurement (once a day).

[0024] The vegetable intake measuring device 17 measures the amount of vegetables consumed by the person being measured. Since vegetable intake can constantly change, the person being measured measures their vegetable intake at a fixed time each day, for example. The measurement results of vegetable intake obtained by the vegetable intake measuring device 17 are transmitted as person data to the advice device 50 at the time of measurement (once a day), for example.

[0025] The sleep sensor 18 measures data related to the subject's sleep. For example, Figure 3 shows an example of sleep data. As shown in Figure 3, the sleep sensor 18 measures sleep duration, time required to fall asleep, sleep efficiency (sleep duration / time spent in bed), time spent awake during the night, number of times the subject left bed, respiratory event index (REI), and periodic motion index. The subject sleeps daily using a futon equipped with the sleep sensor 18, and the measured values ​​may change depending on the quality of their sleep. The sleep data obtained by the sleep sensor 18 is transmitted as subject data to the advice device 50, for example, at the time of measurement (once a day).

[0026] The bone densitometer 19 measures the bone density of the subject. Bone density does not easily reflect improvements in lifestyle habits even after a few weeks, and it only begins to reflect improvements in lifestyle habits after several months. For this reason, the subject measures their bone density at a frequency of, for example, once every two or three months. The bone density measurement results obtained by the bone densitometer 19 are transmitted as subject data to the advice device 50 at the time of measurement (at a frequency of once every few months).

[0027] The continuous glucose monitoring device 20 performs continuous glucose monitoring (CGM) by inserting a measuring needle located in the sensor unit subcutaneously or elsewhere to continuously measure the blood glucose level of the person being monitored over a certain period (for example, two weeks). Continuous glucose monitoring (CGM) is known to be an effective method for checking for irregularities in lifestyle, particularly dietary habits. By performing continuous glucose monitoring, the person being monitored can check whether or not blood glucose spikes, where blood glucose levels rise and fall rapidly, are occurring, and if so, how often they occur (blood glucose spike frequency).

[0028] For example, Figure 4 shows an example of how blood glucose levels change over time. In Figure 4, a graph is shown that represents the fluctuation of blood glucose levels when time is plotted on the horizontal axis and blood glucose levels on the vertical axis. Generally, a postprandial blood glucose level of 140 mg / dL or less is considered normal, but a postprandial blood glucose level exceeding the standard value of 200 mg / dL is said to be the basis for diagnosing diabetes. As shown in Figure 4, in blood glucose data when a blood glucose spike occurs, the fasting blood glucose level is the same as that of a healthy person, but the postprandial blood glucose level rises sharply to the same value as that of a diabetic patient, exceeding 200 mg / dL, and then immediately drops sharply, resulting in a rapid fluctuation in blood glucose levels.

[0029] The person being measured measures their blood glucose level, for example, once a month. The blood glucose measurement results obtained by the continuous blood glucose monitor 20 are transmitted as person data to the advice device 50, for example, at the time of measurement (once a month).

[0030] In addition to the measurement results obtained from each of the above-mentioned AGEs measuring device 11, body composition analyzer 12, blood pressure monitor 14, activity monitor 16, vegetable intake measuring device 17, sleep sensor 18, bone density meter 19, and continuous blood glucose measuring device 20, the advice device 50 acquires subject data, including input data entered by the subject or their supporter, and log data related to the subject's diet.

[0031] The input data entered by the subject includes information about the subject reported by the subject or supporter in response to questionnaire 13, such as information about inflammation (e.g., colds or injuries), stress check information, smoking information, and drinking information. The input data may be written on the questionnaire form or entered using the display device 30 described later. Input data such as inflammation is transmitted to the advice device 50 as subject data, for example, at the time of input.

[0032] Log data regarding the subject's meals includes information such as the calories or components of meals provided from, for example, a cafeteria 15. For example, Figure 5 shows an example of meal log data. As shown in Figure 5, for example, in the case of a cafeteria at a company or school, the contents of the meal provided at lunchtime, such as calories, salt, and fat, are recorded, and this log data is transmitted to the advice device 50 as subject data.

[0033] In this way, the advice device 50 acquires various data for confirming the health status of the subject measured by each of multiple measuring devices such as the AGEs measuring device 11, body composition analyzer 12, blood pressure monitor 14, activity tracker 16, vegetable intake measuring device 17, sleep sensor 18, bone density meter 19, and continuous blood glucose monitor 20 as subject data, and also acquires input data entered by the subject and log data related to the subject's diet as subject data.

[0034] The display device 30 is owned or used by the user. The display device 30 is an information terminal that can communicate with the advice device 50 via a network, such as a desktop PC, laptop PC, smartphone, smartwatch, wearable device, and tablet PC. The user can obtain various types of information, such as the advice information described later, stored in the advice device 50, by directly or indirectly accessing the advice device 50 using the display device 30.

[0035] A user is a user of the services provided by Advice System 1 (hereinafter also referred to as the "Information Provision Service"). Specifically, a user may be the person being measured or a supporter. Alternatively, a user may be a family member, relative, or other person related to the person being measured (for example, an acquaintance) who has been granted permission to view the measurement results of the person being measured by the person being measured or their supporter.

[0036] Supporters are individuals who support the person being measured and include staff at care facilities, social workers at care facilities, doctors at hospitals or clinics, nurses at hospitals or clinics, and instructors or nutrition advisors at fitness gyms.

[0037] The advice device 50 is managed by a service provider that provides information services. The service provider may also be the manufacturer of the AGEs measuring device 11 that lends the AGEs measuring device 11 to users such as the person being measured or a supporter. The advice device 50 functions as a cloud computer and communicates with each of the AGEs measuring device 11, body composition analyzer 12, blood pressure monitor 14, activity tracker 16, vegetable intake measuring device 17, sleep sensor 18, bone densitometer 19, continuous blood glucose monitor 20, and display device 30.

[0038] Here, since the AGEs measurements among the subject data fluctuate depending on lifestyle habits such as dietary habits, exercise habits, sleep habits, inflammation, and stress, supporters who help subjects review their lifestyle habits may provide advice to subjects to improve their lifestyle based on the AGEs measurements.

[0039] For example, Figure 6 is a diagram illustrating the AGEs evaluation rank. In Figure 6, the evaluation criteria for AGEs are shown when the age of the subject is plotted on the horizontal axis and the AGEs score is plotted on the vertical axis. The AGEs score is a value obtained by converting the AGEs measurement value obtained by the AGEs measuring device 11 into a score between 0 and 1.0.

[0040] As shown in Figure 6, multiple baseline values ​​are established for the AGEs score, and based on a comparison of the AGEs score with these baseline values, it is possible to rank the AGEs measurement on a five-point scale from A to E. For example, the smaller the AGEs measurement, the closer the AGEs evaluation rank is to "A," and an AGEs evaluation rank of "A" indicates the best evaluation of the AGEs measurement. Conversely, the larger the AGEs measurement, the closer the AGEs evaluation rank is to "E," and an AGEs evaluation rank of "E" indicates the worst evaluation of the AGEs measurement.

[0041] Note that the reference values ​​for the AGEs evaluation rank shown in Figure 6 are just examples, and any value may be set as the reference value. Furthermore, the reference values ​​for the AGEs evaluation rank may differ not only depending on the age of the person being measured, but also depending on their gender.

[0042] The supporter can provide advice to the subject on improving their lifestyle by evaluating the subject's AGEs measurement value based on the AGEs measurement value obtained by the AGEs measuring device 11 and the reference values ​​shown in Figure 6.

[0043] However, since AGEs measurements fluctuate depending on various lifestyle factors such as diet, exercise, sleep, inflammation, and stress, providing advice based solely on AGEs measurements may prevent supporters from determining which specific lifestyle factors should be improved, potentially leading to an inability to provide optimal advice for the individual being measured.

[0044] For example, it is known that working-age workers have less exercise habits than older adults, so when the person being measured is a working-age worker, supporters often first advise them to make an effort to exercise regularly. After that, in order to provide advice that the person being measured will accept, supporters spend time counseling them to find out what lifestyle habits are hindering the improvement of the person's health. This kind of work is subjective, and supporters with poor counseling skills may not be able to provide appropriate advice to the person being measured. Furthermore, even supporters with good counseling skills may take a lot of time to provide appropriate advice.

[0045] On the other hand, if supporters provide comprehensive advice on all generally known lifestyle habits, there is a risk that they may end up negating lifestyle habits that the subject is already trying to improve. In such cases, it may decrease the motivation of the subject who is proactive in improving their lifestyle habits and significantly reduce their receptiveness to advice.

[0046] Therefore, in the advice system 1 according to the embodiment, the advice device 50 is configured to generate advice information regarding the subject's lifestyle based not only on AGEs measurement values ​​obtained by the AGEs measuring device 11, but also on at least one other subject data from a plurality of other subject data besides AGEs measurement values.

[0047] Specifically, when the advice device 50 acquires subject data, it stores the acquired subject data together with previously acquired subject data. Based on the AGEs measurement values ​​included in the subject data and at least one other subject data from among several other subject data included in the subject data other than the AGEs measurement values, the advice device 50 generates advice information regarding the subject's lifestyle. The advice device 50 also generates advice information based on a date correlated with the date the AGEs measurement values ​​were acquired, for example, at least one other subject data obtained on the date closest to the date the AGEs measurement values ​​were acquired.

[0048] The advice device 50 stores the subject data and the advice information generated based on the subject data as viewable information that can be viewed by users such as the subject, supporters, and viewers. The advice information includes advice on at least one of the subject's eating habits, exercise habits, sleep habits, and mental health.

[0049] When a user requests browsing information using the display device 30, the advice device 50 outputs the browsing information to the display device 30 in response to the request from the display device 30. The display device 30 then displays the browsing information obtained from the advice device 50.

[0050] As a result, the advice device 50 can generate advice information based on multiple other subject data besides AGEs measurements, in addition to AGEs measurements, and provide this advice to the subject or a supporter. Moreover, because the advice device 50 generates advice information based on other subject data selected from among multiple other subject data, it can provide the user with optimal advice on reviewing their lifestyle. Furthermore, even a supporter with low counseling skills can provide persuasive advice to the subject, thus avoiding a decrease in the subject's acceptance of the advice. In addition, even a supporter with high counseling skills can provide appropriate advice in a relatively short amount of time.

[0051] [Configuration of the advice device] The configuration of the advice device 50 will be described with reference to Figures 7 to 9. Figure 7 is a diagram showing the configuration of the advice device 50 according to an embodiment. As shown in Figure 7, the advice device 50 comprises a calculation unit 510, a storage device 520, and a communication device 530.

[0052] The arithmetic unit 510 is a computer (arithmetic entity) that performs various processes according to various programs. The arithmetic unit 510 is composed of a computer such as a processor. The processor includes, for example, at least one of the following: CPU (Central Processing Unit), FPGA (Field Programmable Gate Array), GPU (Graphics Processing Unit), and MPU (Multi Processing Unit). Furthermore, the arithmetic unit 510 may have a storage unit for storing program code or work memory when the processor executes various programs. The storage unit may be one or more non-transitory computer-readable media. The storage unit may include volatile memory such as DRAM (Dynamic Random Access Memory) and SRAM (Static Random Access Memory), and non-volatile memory such as ROM (Read Only Memory) and flash memory. Note that the arithmetic unit 510 (processor) is not limited to processors in the narrow sense that perform processing in a stored-program manner, such as CPUs or MPUs, but may also include hardwired circuits such as ASICs, GPUs, or FPGAs. The processor may consist of processing circuits whose processing is predefined by computer-readable code and / or hardwired circuits. The processor may consist of one chip or multiple chips. Furthermore, the processor and associated processing circuits may consist of multiple computers interconnected by wired or wireless connections, such as via a local area network or wireless network. The processor and associated processing circuits may also be configured as a cloud computer that remotely performs calculations based on input data and outputs the calculation results to other devices located at a distance.

[0053] The storage device 520 is one or more computer-readable storage media, including non-volatile memory such as HDDs (Hard Disk Drives) and SSDs (Solid State Drives). The storage device 520 stores various programs and data, such as advice programs 521 executed by the arithmetic unit 510, user identification information 522 referenced by the arithmetic unit 510, browsing information 523 viewable by the user using the display device 30, and pre-prepared advice information 524.

[0054] The storage device 520 may include volatile memory such as DRAM and SRAM, and non-volatile memory such as ROM and flash memory. Furthermore, the arithmetic unit 510 may be equipped with a media reader (not shown). The arithmetic unit 510 may receive one or more computer-readable storage media, which are removable disks, via the media reader, and acquire various programs and data from the removable disks, such as an advice program 521, user identification information 522, and advice information 524.

[0055] The advice program 521 defines various commands to be executed in order to generate advice information based on the subject data acquired via the communication device 530.

[0056] The user identification information 522 includes information about the user, such as the user ID, password, and username. The advice device 50 can identify the user using the user identification information 522.

[0057] The browsing information 523 includes subject information including information about the person being measured, AGEs information including information about the subject's AGEs measurement value obtained from the AGEs measuring device 11, SMI information including information about the subject's SMI obtained from the body composition analyzer 12, inflammation information including information about the subject's inflammation entered by the user, blood pressure information including information about the subject's blood pressure obtained from the blood pressure monitor 14, diet information including log data about the subject's meals, exercise information including data about the subject's exercise obtained from the activity tracker 16, vegetable intake information including information about the subject's vegetable intake obtained from the vegetable intake measuring device 17, sleep information including information about the subject's sleep obtained from the sleep sensor 18, bone density information including information about the subject's bone density obtained from the bone densitometer 19, blood glucose information including information about the subject's blood glucose level obtained from the continuous blood glucose monitor 20, and advice information generated based on the subject data.

[0058] The advice information 524 includes multiple types of advice regarding the subject's lifestyle and is stored in the storage device 520 in a selectable format according to the content of the subject's data. The computing unit 510 selects at least one piece of advice from the multiple types of advice included in the advice information 524 based on the subject's data and includes it in the browsing information 523. The advice regarding the subject's lifestyle includes, for example, advice regarding the subject's eating habits, exercise habits, sleep habits, and mental health.

[0059] The communication device 530 receives subject data from each of the following devices via wired or wireless communication: the AGEs measuring device 11, the body composition analyzer 12, the blood pressure monitor 14, the activity tracker 16, the vegetable intake measuring device 17, the sleep sensor 18, the bone densitometer 19, and the continuous blood glucose measuring device 20. The communication device 530 also receives input data, such as inflammation information entered by the user, and log data related to meals. Furthermore, the communication device 530 transmits browsing information to the display device via wired or wireless communication.

[0060] Figure 8 is a diagram illustrating the user identification information table stored by the advice device 50 according to the embodiment. The advice device 50 stores user identification information 522 using the user identification information table in Figure 8.

[0061] As shown in Figure 8, the user identification information table stores various information about the user, such as the user ID, password, and username, as user identification information 522. Each user who uses the information provision service is identified by user identification information 522. For example, the first user is assigned the user ID "U1", and the second user is assigned the user ID "U2".

[0062] Of the user identification information 522, the user ID, password, and username are entered by each user from the display device 30. The display device 30 outputs the entered user identification information 522 to the advice device 50. The advice device 50 stores the user identification information 522 obtained from the display device 30 in the storage device 520 by storing it in the user identification information table.

[0063] Figure 9 is a diagram illustrating the browsing information table stored by the advice device 50 according to the embodiment. The advice device 50 stores browsing information 523 using the browsing information table in Figure 9.

[0064] As shown in Figure 9, the browsing information table stores various types of information that users can view, such as subject information, AGEs information, SMI information, inflammation information, blood pressure information, diet information, exercise information, vegetable intake information, sleep information, bone density information, blood glucose level information, and advice information, associated with the user ID.

[0065] The advice device 50 evaluates each of the acquired subject data, including AGEs measurements, SMI, inflammation information, blood pressure, diet log data, exercise data, vegetable intake, sleep information, bone density, and blood glucose levels, and assigns a rank to each subject data based on the evaluation results. For example, the advice device 50 assigns a rank to each subject data using a five-level scale from A to E, as shown in Figure 6. The advice device 50 stores each subject data and its rank in a browsing information table (browsing information 523). The number of rank levels for each subject data may vary depending on the subject data.

[0066] [Example of advice] An example of advice given to a subject by Advice System 1 will be explained with reference to Figures 10 to 18. Figure 10 is a diagram showing an example of the relationship between AGEs and sleep improvement.

[0067] As shown in Figure 10, 44.4% of the total population saw an improvement in both their AGEs score and their sleep score. 22.2% of the population saw a deterioration in both their AGEs score and their sleep score. 7.4% of the population saw no change in either their AGEs score or their sleep score. The sum of these percentages is 74%, indicating a correlation between AGEs scores and sleep scores. In other words, advice on improving sleep habits is important for improving AGEs scores.

[0068] For example, Figure 11 shows an example of the improvement in AGEs scores when advice information regarding sleep habits is provided. As shown in Figure 11(A), for the user with user ID "U1", a D rank evaluation result is stored as the AGEs information of the subject, a D rank evaluation result is stored as the sleep information, and an A rank evaluation result is stored for the other subject data.

[0069] The advice device 50 determines that the AGEs evaluation is rank D, which is worse than rank A, indicating a normal health status. Therefore, it generates advice information to improve lifestyle habits in order to raise the AGEs evaluation back to rank A. At the same time, the advice device 50 determines that among several other subject data besides AGEs, the sleep evaluation is rank D, which is worse than rank A, indicating a normal health status. Therefore, it generates advice information to improve sleep habits in particular as a lifestyle habit and provides it to the subject.

[0070] When the subject improves their sleep habits according to the advice provided by the advice device 50, their sleep evaluation changes from rank D to rank A, as shown in Figure 11(B). Furthermore, the evaluation of AGEs also changes from rank D to rank A as a result of the improved sleep habits.

[0071] Returning to Figure 10, we can note that 7.4% of the total population experienced a worsening of their AGEs score despite an improvement in their sleep score.

[0072] For example, as shown in Figure 11(A), for the user with user ID "U2", a D-rank evaluation result is stored as the AGEs information of the person being measured, a D-rank evaluation result is stored as sleep information, a D-rank evaluation result is stored as diet information, and a D-rank evaluation result is stored as blood glucose information.

[0073] Similar to the user with user ID "U1," if the advice device 50 generates and provides advice information solely for improving sleep habits, the sleep evaluation will improve from rank D to rank A, as shown in Figure 11(B). However, the AGEs evaluation does not improve from rank D to rank A simply because sleep habits have improved. In other words, in this subject's case, not only sleep habits, but also dietary habits related to food content and blood glucose levels are contributing to the poor AGEs evaluation.

[0074] Therefore, the advice device 50 according to the embodiment generates advice information about eating habits in addition to sleep habits and provides it to the person being measured.

[0075] For example, Figure 12 shows an example of the improvement in the AGEs score when advice information regarding sleep habits and eating habits is provided. As shown in Figure 12(A), the advice device 50, for a user with user ID "U2", generates advice information to improve sleep habits as a lifestyle habit because the evaluation of sleep is ranked D among several other subject data other than AGEs, and also generates advice information to improve eating habits as a lifestyle habit because the evaluations of diet and blood glucose levels are both ranked D, and provides these to the subject.

[0076] Advice for improving eating habits includes practicing "vegetable first" eating, avoiding eating large amounts of carbohydrates like rice and ramen together, and not eating too quickly (in about 5 minutes).

[0077] When the subject improves their sleep and eating habits according to the advice information provided by the advice device 50, as shown in Figure 12(B), the sleep evaluation improves from rank D to rank A, the diet evaluation improves from rank D to rank A, and the blood glucose evaluation also improves from rank D to rank A. Furthermore, the AGEs evaluation improves from rank D to rank A as a result of the improvements in sleep and eating habits.

[0078] Thus, the advice device 50 generates advice information by comprehensively considering multiple pieces of subject data, including not just one piece of subject data such as sleep, but also sleep, meals, and blood glucose levels, based on each subject's data. This allows it to provide subjects with optimal advice on reviewing their lifestyle habits.

[0079] One case where the AGEs score changes rapidly is when an inflammatory response occurs, such as during a cold. It is easy to imagine that the inflammatory response itself promotes the production of AGEs, but the diet of a person experiencing inflammation is prone to excessive intake of high-fructose corn syrup and is often unable to engage in exercise that promotes metabolism. Even if this condition continues for several days, the AGEs score will gradually worsen. Furthermore, if the inflammatory response persists, the AGEs score will remain high. In other words, when inflammation occurs, the inflammation score worsens first, and then the AGEs score worsens as a result of the worsening of diet and exercise scores caused by the inflammatory response.

[0080] The advice device 50 can refer to not only the inflammation that has worsened in the measured data, but also dietary information, exercise information, and blood glucose level information, and if the evaluation has worsened, it can generate advice information on dietary habits and exercise habits and provide it to the measured person.

[0081] Figure 13 shows an example of the relationship between improvement in AGEs and skeletal muscle mass. As shown in Figure 13, 23.1% of the total population showed improvement in both their AGEs score and their SMI score. 25.0% of the population showed deterioration in both their AGEs score and their SMI score. 21.2% of the population showed no change in either their AGEs score or their SMI score. The sum of these percentages is 69.3%, indicating a correlation between AGEs score and SMI score. In other words, advice on improving exercise habits related to SMI is important for improving AGEs score.

[0082] Therefore, if the SMI evaluation among several other subject data besides AGEs is worse than rank A, the advice device 50 generates advice information to improve exercise habits as a lifestyle habit and provides it to the subject.

[0083] Here, it is noteworthy that 19.2% of participants showed improvement in their AGEs score despite no change in their SMI score. One possible reason for this is that AGEs generally change within a week to a few weeks, whereas SMI does not change as quickly as AGEs, and it may only begin to be reflected in the measurement after several months of lifestyle improvements.

[0084] Therefore, even if the advice device 50 generates advice information based on the SMI currently acquired, it may not be able to provide the subject with the most appropriate advice. For example, if the advice device 50 gives advice to improve exercise habits based on an SMI evaluation of rank D, it is possible that the subject is already making efforts to improve their exercise habits, but this has not yet been reflected in their SMI.

[0085] Therefore, the advice device 50 predicts SMI based on AGEs measurement values ​​and generates advice information based on the predicted SMI result. Specifically, the advice device 50 predicts SMI based on the time-series changes of AGEs measurement values ​​acquired and stored in the past, and SMI measurement values ​​acquired and stored in the past, and stores the predicted SMI value (hereinafter also referred to as the "predicted SMI value"). Even if the acquired SMI evaluation is poor, if the SMI prediction value evaluation is good, the advice device 50 provides the subject with advice information indicating that their exercise habits have improved.

[0086] Regardless of whether the subject is male or female, the smaller the AGEs measurement, the larger the SMI measurement, and the larger the AGEs measurement, the smaller the SMI measurement. Thus, there is a correlation between AGEs and SMI, and the advice device 50 uses this correlation between AGEs and SMI to predict SMI at a certain point in the future, based on the time-series changes in AGEs measurements and SMI measurements.

[0087] Figure 14 shows an example of skeletal muscle mass prediction. Figure 14 illustrates an example where the advice device 50 calculates a predicted SMI using the subject's AGEs measurements, acquired weekly from April 6th to June 22nd. Figure 14(A) shows a graph illustrating the time-series changes in the subject's AGEs measurements, with the horizontal axis representing the date and the vertical axis representing the AGEs measurement. 4 (B) shows a graph with the date on the horizontal axis and the SMI evaluation rank on the vertical axis, illustrating the time-series change in the subject's SMI evaluation rank.

[0088] As mentioned above, AGEs can change over approximately one to several weeks in response to improvements in lifestyle. Therefore, subjects typically measure their AGEs regularly every few weeks using the AGEs measuring device 11. For example, a subject measures their AGEs weekly from April 6 to June 22 using the AGEs measuring device 11. The advice device 50 acquires AGEs measurements from the AGEs measuring device 11 weekly from April 6 to June 22.

[0089] On the other hand, SMI, unlike AGEs, does not change easily in a few weeks, and it only begins to be reflected in the measurement after several months of lifestyle improvements. For this reason, subjects typically measure their SMI every few months using the body composition analyzer 12. For example, if a subject measures their SMI using the body composition analyzer 12 on April 6th, they will schedule their next SMI measurement for June 22nd, several months later. The advice device 50 will... body composition meter 12 Obtain SMI measurement values ​​as of April 6th.

[0090] The advice device 50 obtains the SMI measurement value as of April 6th, and then, at a subsequent predicted time point, calculates the subject's SMI on June 22nd, the next SMI measurement date, as a predicted SMI value. Furthermore, the advice device 50 calculates a predicted SMI value based on the time-series changes in AGEs measurement values ​​obtained over a predetermined period preceding the predicted time point.

[0091] For example, if the advice device 50 calculates the predicted SMI value for June 22 as of April 27, it reads the AGEs measurement values ​​for April 6, April 13, April 20, and April 27, acquired over the past week from April 27, from the storage device 520. Based on the time-series changes in the weekly AGEs measurement values ​​from April 6 to April 27 that were read, and the SMI measurement value acquired on April 6, the advice device 50 calculates the predicted SMI value for June 22. Then, the advice device 50 calculates the SMI evaluation rank by comparing the calculated predicted SMI value with the reference value.

[0092] When the advice device 50 calculates the predicted SMI value for June 22 as of May 18, it reads the AGEs measurement values ​​for April 27, May 4, May 11, and May 18, acquired in the past week from May 18, from the storage device 520. Based on the time-series changes in the weekly AGEs measurement values ​​from April 27 to May 18 that were read out, and the SMI measurement value acquired on April 6, the advice device 50 calculates the predicted SMI value for June 22. Then, the advice device 50 calculates the SMI evaluation rank by comparing the calculated predicted SMI value with the reference value.

[0093] When the advice device 50 calculates the predicted SMI value for June 22 as of June 8, it reads the AGEs measurement values ​​for May 18, May 25, June 1, and June 8, acquired over the past week from June 8, from the storage device 520. Based on the time-series changes in the AGEs measurement values ​​for each week from May 18 to June 8, which were read out, and the SMI measurement value acquired on April 6, the advice device 50 calculates the predicted SMI value for June 22. Then, the advice device 50 calculates the SMI evaluation rank by comparing the calculated predicted SMI value with the reference value.

[0094] In the example in Figure 14, the AGEs measurements obtained from April 6th to June 8th gradually decrease and improve, so the advisory device 50 predicts that the SMI evaluation rank at each prediction point in time on June 22nd will also gradually improve. The SMI prediction value and SMI evaluation rank obtained in this way are stored as SMI information in the browsing information table in Figure 9.

[0095] Figure 15 shows an example of the improvement in AGEs scores when advice on exercise habits was provided based on predicted skeletal muscle mass.

[0096] As shown in Figure 15(A), for the user with user ID "U1", a D-rank evaluation result is stored as the AGEs information of the person being measured, and a D-rank evaluation result is also stored as SMI information. The advice device 50 predicts SMI based on the AGEs measurement value and provides the person being measured with advice to improve their exercise habits as advice information based on the predicted SMI value.

[0097] When the subject improves their exercise habits according to the advice provided by the advice device 50, the AGEs evaluation changes from rank D to rank C, as shown in Figure 15(B). On the other hand, because lifestyle habits are reflected in the SMI measurement more slowly than AGEs, the SMI evaluation remains at rank D.

[0098] However, if the advice device 50 predicts SMI based on the AGEs measurement value and the predicted SMI value is larger and shows improvement, it provides the subject with advice information based on the predicted SMI value, such as an advising the subject that their exercise habits have improved and that their SMI is showing an improving trend.

[0099] If the subject continues to improve their exercise habits according to the advice information provided by the advice device 50, the AGEs evaluation will change from rank C to rank A, and the SMI evaluation will also change from rank D to rank A, as shown in Figure 15(C).

[0100] Thus, if the evaluation of AGEs measurements improves while the evaluation of SMI remains unchanged, the advice device 50 predicts SMI based on the acquired SMI measurements and the time-series changes in AGEs measurements, and generates advice information based on the acquired SMI prediction value.

[0101] Figure 16 shows an example of the improvement in AGEs scores when no advice information is provided. As shown in Figure 16(A), for the user with user ID "U1", an A rank evaluation result is stored as the AGEs information of the subject, and A rank evaluation results are also stored for the data of other subjects.

[0102] Next, let's consider the case where the AGEs evaluation drops from A rank to C rank, as shown in Figure 16(B). The reason for the deterioration in the AGEs evaluation is lack of exercise, but since lifestyle habits are reflected in the SMI measurement more slowly than in AGEs, the SMI evaluation remains at A rank. In this case, since the evaluation of other subject data besides AGEs is A rank, the advice device 50 does not provide advice information to the subject. In this case, it is assumed that the subject does not improve their lifestyle, and as shown in Figure 16(C), the AGEs evaluation further deteriorates from C rank to D rank, and the SMI evaluation also drops from A rank to D rank.

[0103] On the other hand, Figure 17 shows an example of the improvement in AGEs scores when advice information on exercise habits is provided based on predicted skeletal muscle mass. As shown in Figure 17(A), for the user with user ID "U1", an A rank evaluation result is stored as the AGEs information of the subject, and A rank evaluation results are also stored for the data of other subjects.

[0104] Next, as shown in Figure 17(B), we consider the case where the AGEs evaluation changes from rank A to rank C. In such a case, the advice device 50 predicts SMI based on the AGEs measurement value, and if the predicted SMI value has decreased and worsened, it provides the subject with advice to improve their exercise habits as advice information based on the predicted SMI value.

[0105] When the subject improves their exercise habits according to the advice information provided by the advice device 50, the AGEs evaluation changes from rank C to rank A, as shown in Figure 17(C).

[0106] Thus, if the evaluation of AGEs measurements decreases while the evaluation of SMI remains unchanged, the advice device 50 predicts SMI based on the acquired SMI measurements and the time-series changes in AGEs measurements, and generates advice information based on the acquired SMI prediction value.

[0107] Furthermore, after providing advice information to the person being measured, if the evaluation of the AGEs measurement value improves as a result of living according to the advice information, the advice device 50 may generate new advice, including the advice to continue living according to the advice information, and provide the new advice information to the person being measured via the display device 30.

[0108] On the other hand, if, after providing advice information to the person being measured, the evaluation of the AGEs measurement does not improve as a result of following the advice information, the advice information provided by the advice device 50 may be re-notified to the person being measured via the display device 30.

[0109] [Example of displaying browsing information] An example of how browsing information is displayed will be explained with reference to Figures 18 to 22. Figures 18 to 22 are diagrams showing an example of the display screen in the display device 30 according to the embodiment.

[0110] When a user runs an application program to use the information provision service using the display device 30, the display device 30 displays a login screen (not shown) on the display 390. When the user enters a user ID and password on the login screen, the display device 30 outputs the user ID and password to the advice device 50. When the advice device 50 authenticates the user based on the user ID and password, the display device 30 displays the home screen 31 on the display 390, as shown in Figure 18.

[0111] The home screen 31 includes images 311 for viewing AGEs information, 312 for viewing SMI information, 313 for viewing diet information, 314 for viewing sleep information, and 315 for viewing advice information. The home screen 31 may also include images for viewing other information, such as blood pressure information and blood glucose level information.

[0112] Image 311 shows, for example, the AGEs score corresponding to the most recently measured AGEs value and the result of ranking the AGEs score. In the example in Figure 18, Image 311 shows "0.51" as the AGEs score measured on 2022 / 5 / 18 and "B" as the AGEs rank. When the user selects Image 311 (for example, by touch operation), the display device 30 displays an AGEs viewing screen 32 for viewing AGEs information on the display 390, as shown in Figure 19.

[0113] The AGEs viewing screen 32 includes an image 321 showing the most recently measured AGEs value, an image 322 showing the time-series changes in past AGEs values, and an image 323 showing comments about the AGEs values. This allows the user to view the AGEs information of the person being measured using the display device 30.

[0114] Returning to Figure 18, Image 312 shows, for example, the most recently measured SMI value and the result of ranking the SMI value. In the example in Figure 18, Image 312 shows "7.6" as the SMI value measured on 2022 / 4 / 6, and "C" as the SMI rank. When the user selects Image 312, the display device 30 displays an SMI viewing screen 33 for viewing SMI information on the display 390, as shown in Figure 20.

[0115] The SMI viewing screen 33 includes an image 331 showing the most recently measured SMI measurement value, an image 332 showing the time-series changes in SMI measurement values ​​over the past (for example, the past six months), and an image 333 showing comments about the SMI measurement value. This allows the user to view the subject's SMI information using the display device 30.

[0116] Furthermore, the SMI viewing screen 33 includes an image 334 for viewing SMI predicted values. When the user selects the image 334, the display device 30 displays the SMI prediction screen 34 for viewing SMI predicted values ​​on the display 390, as shown in Figure 21.

[0117] The SMI prediction screen 34 includes image 341, which shows the predicted SMI value for the next SMI measurement date (June 22 in this example), calculated at the current time (May 18 in this example), and image 342, which shows advice on the subject's lifestyle based on the predicted SMI value. In this example, image 351 shows that, based on the SMI prediction on May 18, the SMI evaluation rank will improve from "C" to "B" on June 22. Furthermore, image 342 shows a comment indicating that AGEs and SMI are improving steadily as advice on lifestyle. This allows the user to view the subject's predicted SMI value, the SMI evaluation rank corresponding to the predicted SMI value, and lifestyle advice based on the SMI prediction using the display device 30.

[0118] Returning to Figure 18, Image 313 shows, for example, log data related to the subject's diet. In the example in Figure 18, Image 313 shows the current score out of 100 as an indicator of a well-balanced diet. When the user selects Image 313, the display device 30 displays log data such as calories, salt, and lipids related to the diet, as shown in Figure 5, on the display 390. This allows the user to view the subject's diet information using the display device 30.

[0119] Image 314 is, for example, an image used to view a report on the subject's sleep. When the user selects image 314, the display device 30 displays sleep-related data, such as sleep duration, on the display 390, as shown in Figure 3. This allows the user to view the subject's sleep information using the display device 30.

[0120] Image 315 is, for example, an image for viewing advice information. When the user selects image 315, the display device 30 displays a comprehensive analysis screen 35 for viewing the comprehensive analysis results on the display 390, as shown in Figure 22.

[0121] The overall analysis screen 35 includes an image 351 showing the score and evaluation rank corresponding to the overall analysis result, an image 352 showing advice on at least one of the following: eating habits, exercise habits, sleep habits, and mental health, and an image 353 showing the evaluation results for each subject's data. The advice device 50 calculates the score and evaluation rank corresponding to the overall analysis result shown in image 351 based on the evaluation results for each subject's data shown in image 353. At this time, the advice device 50 may assign a predetermined weight to each of the multiple subject's data when calculating the overall analysis result. This allows the user to view the advice information provided to the subject using the display device 30.

[0122] Note that the viewing information shown in Figures 18 to 22 is just an example and may be changed for each subject based on, for example, the subject's age, gender, and medical history. Furthermore, the weighting used when calculating the overall analysis results may also be changed for each subject based on their age, gender, and medical history.

[0123] [Processing by the advice device] The processing of the advice device 50 will be explained with reference to Figure 23. Figure 23 is a flowchart of the advice processing performed by the advice device 50 according to the embodiment. The processing steps shown in Figure 23 (hereinafter abbreviated as "S") are realized by the arithmetic unit 510 executing the advice program 521.

[0124] As shown in Figure 23, the advice device 50 acquires AGEs measurements from the AGEs measuring device 11 (S1). Based on the acquired AGEs measurements, the advice device 50 predicts SMI (S2).

[0125] The advice device 50 generates advice information based on the AGEs measurement value and at least one other subject data from a plurality of subject data, including the SMI prediction value (S3). The advice device 50 stores the advice information as browsing information 523 in the storage device 520 (S4). As a result, the advice device 50 can allow the user to view the advice information by outputting the advice information stored as browsing information 523 to the display device 30 in response to a request from the display device 30.

[0126] As described above, the advice device 50 according to the embodiment generates advice information based on multiple other subject data besides AGEs measurement values, in addition to AGEs measurement values, thus enabling the provision of optimal advice to the subject regarding lifestyle changes. Furthermore, since the advice device 50 generates advice information based on SMI predicted based on AGEs measurement values, even if SMI results are slower to appear than those related to lifestyle habits than AGEs, it can provide the subject with optimal advice based on its predicted value.

[0127] [Pattern] Those skilled in the art will understand that the above-described exemplary embodiments are specific examples of the following embodiments.

[0128] (Section 1) An advice device according to one embodiment comprises a computing device and a communication device connected to the computing device in a communicative manner. The communication device acquires the measured value of advanced glycation end products of a person being measured and a plurality of other data about the person being measured that are different from the measured value of advanced glycation end products. The computing device generates advice information about the person being measured based on the measured value of advanced glycation end products acquired by the communication device and at least one of the plurality of other data acquired by the communication device.

[0129] According to the advice device described in paragraph 1, advice information is generated based on multiple other subject data besides AGEs measurement values, in addition to AGEs measurement values, making it possible to provide the subject with optimal advice on reviewing their lifestyle habits.

[0130] (Section 2) In the advice device described in Section 1, the calculation device generates advice information based on at least one other piece of data obtained on a date correlated with the date on which the measurement value of advanced glycation end products obtained by the communication device was obtained.

[0131] According to the advice device described in paragraph 2, for example, advice information is generated based on at least one subject data obtained from among multiple subject data, on the date closest to the date on which the AGEs measurement value was obtained, thereby enabling the user to receive accurate advice on reviewing their lifestyle habits.

[0132] (3) In the advice device described in paragraph 1 or 2, the communication device periodically acquires measured values ​​of advanced glycation end products at a first interval, and periodically acquires specific data included in multiple other data at a second interval that is longer than the first interval. The calculation device predicts the specific data based on the specific data acquired by the communication device and the time-series changes in the measured values ​​of advanced glycation end products, and generates advice information based on the prediction results of the specific data.

[0133] According to the advice device described in Section 3, SMI is predicted based on SMI measurements, which have a longer acquisition interval than AGEs measurements, and the time-series changes in AGEs measurements. Based on the predicted SMI, advice information is generated. Therefore, even for SMI, which yields results tailored to lifestyle habits more slowly than AGEs, optimal advice can be provided to the user based on its predicted value.

[0134] (Clause 4) In the advice device described in Clause 3, if the evaluation of the measured value of advanced glycation end products increases, but the evaluation of specific data does not change, the calculation device generates advice information based on the prediction result of the specific data.

[0135] According to the advice device described in Section 4, for example, even if the evaluation of AGEs measurements improves while the evaluation of SMI remains unchanged, the device can generate advice information based on the SMI predicted based on the AGEs measurements, thereby providing the user with optimal advice.

[0136] (Clause 5) In the advice device described in paragraph 3, if the evaluation of the measured value of advanced glycation end products decreases, but the evaluation of specific data does not change, the calculation device generates advice information based on the prediction result of the specific data.

[0137] According to the advice device described in Section 5, for example, even if the evaluation of AGEs measurements decreases while the evaluation of SMI remains unchanged, the device can generate advice information based on the SMI predicted based on the AGEs measurements, thereby providing the user with optimal advice.

[0138] (Item 6) In the advice device described in any one of items 3 to 5, the specific data is the measured value of the subject's skeletal muscle mass.

[0139] According to the advice device described in Section 6, optimal advice can be provided to the user based on the predicted values ​​of SM.

[0140] (Section 7) In the advice device described in any one of Sections 1 to 6, the multiple other data include at least one of the following data: the subject's skeletal muscle mass, inflammation, blood pressure, diet, exercise, vegetable intake, sleep, bone density, blood glucose level, and stress.

[0141] According to the advice device described in Section 7, in addition to AGEs measurements, advice information is generated based on at least one of the following data points: the subject's skeletal muscle mass, inflammation, blood pressure, diet, exercise, vegetable intake, sleep, bone density, blood glucose level, and stress. This allows the device to provide the user with optimal advice on reviewing their lifestyle.

[0142] (Clause 8) In the advice device described in any one of paragraphs 1 to 7, the advice information includes advice on at least one of the following: the subject's eating habits, exercise habits, sleep habits, and mental health.

[0143] The advice device described in paragraph 8 can provide the user with advice regarding at least one of the following: the subject's eating habits, exercise habits, sleep habits, and mental health.

[0144] (Clause 9) In the advice device described in any one of paragraphs 1 to 8, the calculation device generates new advice, including continuing to live in accordance with the advice information, if the evaluation of the measured value of advanced glycation end products improves as a result of living in accordance with the advice information.

[0145] According to the advice device described in paragraph 9, subjects whose evaluation of AGEs measurements has improved by following the advice information can continue to improve their lifestyle habits.

[0146] (Clause 10) In the advice device described in any one of paragraphs 1 to 9, if the evaluation of the measured value of advanced glycation end products does not improve as a result of living in accordance with the advice information, the calculation device shall notify the person being measured again of the advice information.

[0147] According to the advice device described in paragraph 10, if a subject does not see an improvement in their AGEs measurement score by following the advice information, the same advice information can be provided again to help them improve their lifestyle.

[0148] (Clause 11) An advice method according to one embodiment includes, as a process performed by a computing device, the steps of acquiring a measured value of an advanced glycation end product (AGES) of a person being measured and a plurality of other data relating to the person that are different from the measured value of AGES; and generating advice information relating to the person being measured based on the measured value of AGES obtained by the acquisition step and at least one of the other data obtained by the acquisition step.

[0149] According to the advice method described in Section 11, advice information is generated based on multiple other subject data besides AGEs measurements, in addition to AGEs measurements, making it possible to provide subjects with optimal advice on reviewing their lifestyle habits.

[0150] (Clause 12) An advice program according to one embodiment causes a computing device to perform the steps of: acquiring a measured value of an advanced glycation end product (AGE) of a person being measured and a plurality of other data relating to the person being measured that are different from the measured value of AGE end products; and generating advice information relating to the person being measured based on the measured value of AGE end products acquired in the acquisition step and at least one of the other data from the plurality of other data acquired in the acquisition step.

[0151] According to the advice program described in Section 12, advice information is generated based on multiple other subject data besides AGEs measurements, in addition to AGEs measurements, making it possible to provide subjects with optimal advice on reviewing their lifestyle habits.

[0152] (Clause 13) An advice system according to one embodiment comprises a measuring device for measuring advanced glycation end products of a person being measured; an advice device that generates advice information about the person being measured based on the measured value of advanced glycation end products obtained from the measuring device and at least one other data from a plurality of other data about the person being measured that is different from the measured value of advanced glycation end products; and a display device that displays the advice information obtained from the advice device.

[0153] According to the advice system described in Section 13, advice information is generated based on multiple other subject data besides AGEs measurements, in addition to AGEs measurements, making it possible to provide subjects with optimal advice on reviewing their lifestyle habits. [Explanation of Symbols]

[0154] 1 Advice system, 11 AGEs measuring device, 12 Body composition analyzer, 13 Questionnaire, 14 Blood pressure monitor, 15 Cafeteria, 16 Activity tracker, 17 Vegetable intake measuring device, 18 Sleep sensor, 19 Bone densitometer, 20 Continuous blood glucose monitor, 30 Display device, 31 Home screen, 32 AGEs viewing screen, 33 SMI viewing screen, 34 SMI prediction screen, 35 Comprehensive analysis screen, 50 Advice device, 311, 312, 313, 314, 315, 321, 322, 323, 331, 332, 333, 334, 341, 342, 351, 352, 353 Images, 390 Display, 510 Processing unit, 520 Storage device, 521 Advice program, 522 User identification information, 523 Browsing information, 524 Advice information, 530 Communication device.

Claims

1. An advice device that provides advice on daily life, The computing unit and The system comprises a communication device that is communicatively connected to the aforementioned computing device, The aforementioned communication device is The measured values ​​of advanced glycation end products (AGEs) in the subject are taken periodically at the first interval. The skeletal muscle mass measurements of the subject are taken periodically at a second interval that is longer than the first interval. The aforementioned computing device is Based on the time-series changes in the measured values ​​of the advanced glycation end products obtained by the communication device and the measured values ​​of the skeletal muscle mass obtained by the communication device, the skeletal muscle mass is predicted. An advice device that generates advice information regarding the lifestyle of the person being measured, based on the predicted results of skeletal muscle mass.

2. The aforementioned computing device is The measured values ​​of the advanced glycation end products obtained by the communication device are evaluated. The measured values ​​of skeletal muscle mass obtained by the communication device are evaluated, The advice device according to claim 1, which generates the advice information based on the prediction result of skeletal muscle mass when the evaluation of the measured value of the advanced glycation end product increases, but the evaluation of the measured value of skeletal muscle mass does not change.

3. The aforementioned computing device is The measured values ​​of the advanced glycation end products obtained by the communication device are evaluated. The measured values ​​of skeletal muscle mass obtained by the communication device are evaluated, The advice device according to claim 1, which generates the advice information based on the prediction result of skeletal muscle mass when the evaluation of the measured value of the advanced glycation end product decreases, but the evaluation of the measured value of skeletal muscle mass does not change.

4. An advice device that provides advice on daily life, The computing unit and The system comprises a communication device that is communicatively connected to the aforementioned computing device, The communication device acquires the measured value of the subject's advanced glycation end products and other data relating to the subject that is different from the measured value of the advanced glycation end products. The aforementioned computing device is The measured values ​​of the aforementioned advanced glycation end products are evaluated, The aforementioned other data evaluates, Based on the evaluation results of the measured values ​​of the aforementioned advanced glycation end products and the evaluation results of the aforementioned other data, advice information regarding the lifestyle of the person being measured is generated. After providing the aforementioned advice information to the person being measured, the measurement value of the advanced glycation end product obtained by the communication device is evaluated again. An advice device that, when the evaluation of the measured value of the aforementioned advanced glycation end products increases, generates new advice information, including the advice to continue living in accordance with the aforementioned advice information.

5. An advice device that provides advice on daily life, The computing unit and The system comprises a communication device that is communicatively connected to the aforementioned computing device, The communication device acquires the measured value of the subject's advanced glycation end products and other data relating to the subject that is different from the measured value of the advanced glycation end products. The aforementioned computing device is The measured values ​​of the advanced glycation end products obtained by the communication device are evaluated. The other data acquired by the communication device is evaluated, Based on the evaluation results of the measured values ​​of the aforementioned advanced glycation end products and the evaluation results of the aforementioned other data, advice information regarding the lifestyle of the person being measured is generated. After providing the aforementioned advice information to the person being measured, the measurement value of the advanced glycation end product obtained by the communication device is evaluated again. An advice device that, if the evaluation of the measured value of the advanced glycation end product does not improve, notifies the person being measured of the advice information again.

6. The advice device according to claim 4 or 5, wherein the other data includes at least one of the following data: the subject's skeletal muscle mass, inflammation, blood pressure, diet, exercise, vegetable intake, sleep, bone density, blood glucose level, and stress.

7. The advice device according to claim 4 or 5, wherein the advice information includes advice regarding at least one of the subject's eating habits, exercise habits, sleep habits, and mental health.

8. An advice method that provides advice on daily life using a computing device, The processing to be performed by the aforementioned computing unit is as follows: The steps include: periodically acquiring measurement values ​​of the subject's advanced glycation end products at a first interval; The steps include: periodically acquiring measurements of the skeletal muscle mass of the subject at a second interval longer than the first interval; An advice method comprising the steps of predicting the skeletal muscle mass based on the time-series changes in the measured values ​​of the advanced glycation end products and the measured values ​​of the skeletal muscle mass, and generating advice information regarding the lifestyle of the person being measured based on the predicted results of the skeletal muscle mass.

9. An advice method that provides advice on daily life using a computing device, The processing to be performed by the aforementioned computing unit is as follows: A step of obtaining a measurement value of the subject's advanced glycation end products and other data about the subject that is different from the measurement value of the advanced glycation end products. A step of evaluating the measured value of the aforementioned advanced glycation end product, The step of evaluating the aforementioned other data, A step of generating advice information regarding the lifestyle of the person being measured, based on the evaluation results of the measured values ​​of the advanced glycation end products and the evaluation results of the other data, After providing the aforementioned advice information to the person being measured, the step of evaluating the measured value of the advanced glycation end product obtained again, An advice method comprising the step of generating new advice information, including continuing to live in accordance with the advice information, if the evaluation of the measured value of the advanced glycation end products has improved.

10. An advice method that provides advice on daily life using a computing device, The processing to be performed by the aforementioned computing unit is as follows: A step of obtaining a measurement value of the subject's advanced glycation end products and other data about the subject that is different from the measurement value of the advanced glycation end products. A step of evaluating the measured value of the aforementioned advanced glycation end product, The step of evaluating the aforementioned other data, A step of generating advice information regarding the lifestyle of the person being measured, based on the evaluation results of the measured values ​​of the advanced glycation end products and the evaluation results of the other data, After providing the aforementioned advice information to the person being measured, the step of evaluating the measured value of the advanced glycation end product obtained again, An advice method comprising the step of notifying the person being measured again of the advice information if the evaluation of the measured value of the advanced glycation end product has not improved.

11. An advice program that provides advice on daily life, In the computing unit, The steps include: periodically acquiring measurement values ​​of the subject's advanced glycation end products at a first interval; The steps include: periodically acquiring measurements of the skeletal muscle mass of the subject at a second interval longer than the first interval; An advice program that performs the steps of predicting the skeletal muscle mass based on the time-series changes in the measured values ​​of the advanced glycation end products and the measured values ​​of the skeletal muscle mass, and generating advice information regarding the lifestyle of the person being measured based on the predicted results of the skeletal muscle mass.

12. An advice program that provides advice on daily life, In the computing unit, A step of obtaining a measurement value of the subject's advanced glycation end products and other data about the subject that is different from the measurement value of the advanced glycation end products. A step of evaluating the measured value of the aforementioned advanced glycation end product, The step of evaluating the aforementioned other data, A step of generating advice information regarding the lifestyle of the person being measured, based on the evaluation results of the measured values ​​of the advanced glycation end products and the evaluation results of the other data, After providing the aforementioned advice information to the person being measured, the step of evaluating the measured value of the advanced glycation end product obtained again, An advice program that, if the evaluation of the measured value of the aforementioned advanced glycation end products increases, causes the program to perform the step of generating new advice information, including continuing to live in accordance with the aforementioned advice information.

13. An advice program that provides advice on daily life, In the computing unit, A step of obtaining a measurement value of the subject's advanced glycation end products and other data about the subject that is different from the measurement value of the advanced glycation end products. A step of evaluating the measured value of the aforementioned advanced glycation end product, The step of evaluating the aforementioned other data, A step of generating advice information regarding the lifestyle of the person being measured, based on the evaluation results of the measured values ​​of the advanced glycation end products and the evaluation results of the other data, After providing the aforementioned advice information to the person being measured, the step of evaluating the measured value of the advanced glycation end product obtained again, An advice program that, if the evaluation of the measured value of the advanced glycation end product does not improve, causes the program to perform the step of notifying the person being measured again of the advice information.

14. An advice system that provides advice on daily life, A measuring device for measuring advanced glycation end products in a subject, An advice device that generates advice information regarding the lifestyle of the subject based on the measured value of the advanced glycation end products obtained from the measuring device and the measured value of the subject's skeletal muscle mass, The system includes a display device that displays the advice information acquired from the advice device, The aforementioned advice device, The measured values ​​of the aforementioned advanced glycation end products are periodically acquired at a first interval. The skeletal muscle mass measurements are taken periodically at a second interval that is longer than the first interval. Based on the time-series changes in the measured values ​​of the aforementioned advanced glycation end products and the measured values ​​of the aforementioned skeletal muscle mass, the skeletal muscle mass is predicted. An advice system that generates the advice information based on the prediction results of skeletal muscle mass.

15. An advice system that provides advice on daily life, A measuring device for measuring advanced glycation end products in a subject, An advice device that generates advice information regarding the lifestyle of the subject based on the measured value of the advanced glycation end product obtained from the measuring device and other data concerning the subject that is different from the measured value of the advanced glycation end product, The system includes a display device that displays the advice information acquired from the advice device, The aforementioned advice device, The measured values ​​of the aforementioned advanced glycation end products are evaluated, The aforementioned other data evaluates, Based on the evaluation results of the measured values ​​of the aforementioned advanced glycation end products and the evaluation results of the aforementioned other data, the advice information is generated. After the advice information is provided to the person being measured by the display device, the measured value of the advanced glycation end product obtained again is evaluated. An advice system that, when the evaluation of the measured value of the aforementioned advanced glycation end products increases, generates new advice information, including the advice to continue living in accordance with the aforementioned advice information.

16. An advice system that provides advice on daily life, A measuring device for measuring advanced glycation end products in a subject, An advice device that generates advice information regarding the lifestyle of the subject based on the measured value of the advanced glycation end product obtained from the measuring device and other data concerning the subject that is different from the measured value of the advanced glycation end product, The system includes a display device that displays the advice information acquired from the advice device, The aforementioned advice device, The measured values ​​of the aforementioned advanced glycation end products are evaluated, The aforementioned other data evaluates, Based on the evaluation results of the measured values ​​of the aforementioned advanced glycation end products and the evaluation results of the aforementioned other data, the advice information is generated. After the advice information is provided to the person being measured by the display device, the measured value of the advanced glycation end product obtained again is evaluated. An advice system that, if the evaluation of the measured value of the advanced glycation end product does not improve, notifies the person being measured again of the advice information.

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