JP2021120626A - Health state determination support device, health state determination support program, and health state determination support system - Google Patents

Abstract

To easily provide standard information that can be used for determination of a state of a subject's health.SOLUTION: A health state determination support device has: a data acquisition unit that acquires first concentration data indicating concentration of a specific component included in body fluid that is collected from a subject at first timing and includes at least any one of urine, saliva, and snivel, and second concentration data indicating the concentration of the specific component included in the body fluid that is collected from the subject at second timing different from the first timing; a determination unit that, on the basis of the first concentration data and the second concentration data acquired by the data acquisition unit, outputs determination result data suggesting a state of the subject's health; a data management unit that stores, in a readable manner, the determination result data output from the determination unit; and a data output unit that outputs the determination result data stored in the data management unit.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to devices, programs, and systems that assist in determining a subject's health status.

There is known a technique for measuring the concentration of a specific component contained in urine collected from a subject and using the measurement result to support the determination of the health condition of the subject (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2002-207037

An object of the present disclosure is to provide a technique capable of easily providing reference information that can be used for determining a subject's health condition.

According to one aspect of the present disclosure
First concentration data indicating the concentration of a specific component contained in a body fluid containing at least one of urine, saliva, and runny nose collected from a subject at the first timing, and a first concentration data different from the first timing from the subject. A data acquisition unit that acquires second concentration data indicating the concentration of the specific component contained in the body fluid collected at the timing of 2.
A determination unit that outputs determination result data suggesting the health condition of the subject based on the first concentration data and the second concentration data acquired by the data acquisition unit.
A data management unit that readablely stores the determination result data output by the determination unit, and
A data output unit that outputs the determination result data stored in the data management unit, and a data output unit.
A health condition determination support device having the above is provided.

According to another aspect of the present disclosure.
First concentration data indicating the concentration of a specific component contained in a body fluid containing at least one of urine, saliva, and runny nose collected from a subject at the first timing, and a first concentration data different from the first timing from the subject. A data acquisition procedure for acquiring second concentration data indicating the concentration of the specific component contained in the body fluid collected at the timing of 2 and a data acquisition procedure, respectively.
A determination procedure for outputting determination result data suggesting the health condition of the subject based on the first concentration data and the second concentration data acquired in the data acquisition procedure, and a determination procedure.
A data management procedure for readable storage of the determination result data output in the determination procedure, and
A data output procedure for outputting the determination result data stored in the data management procedure, and a data output procedure.
Is provided with a program configured to cause the computer to run.

According to yet another aspect of the present disclosure.
A health condition determination support system including a computer terminal and a server connected to the computer terminal via a communication network.
The computer terminal includes first concentration data indicating the concentration of a specific component contained in a body fluid containing at least one of urine, saliva, and runny nose collected from the subject at the first timing, and the first concentration data from the subject. It is configured to transmit each of the second concentration data indicating the concentration of the specific component contained in the body fluid collected at the second timing different from the timing to the server.
Based on the first concentration data and the second concentration data received from the computer terminal, the server outputs determination result data suggesting the health condition of the subject and stores it in a readable manner, and stores the determination result data. Is provided to the health condition determination support system configured to transmit the data to the computer terminal.

According to the present disclosure, it is possible to easily obtain reference information that can be used for determining the health condition of a subject.

It is a schematic diagram which shows the structure of the health state determination support system 1 in one aspect of this disclosure. It is a block block diagram of the health state determination support device 20 in one aspect of this disclosure. It is a figure which illustrates the constitution example of the determination logic table (for the risk determination of a diabetic disease) in one aspect of this disclosure. It is a figure which illustrates the constitution example of the determination logic table (for gout disease risk determination) in another aspect of this disclosure. It is a figure which illustrates the operation flow (diabetes disease risk determination flow) of the health state determination support device 20 in one aspect of this disclosure. It is a figure which illustrates the operation flow (gout disease risk determination flow) of the health state determination support device 20 in another aspect of this disclosure. (A) is a figure illustrating the output mode (for diabetic disease risk determination) of the determination result data by the health condition determination support device 20 in one aspect of the present disclosure, and (b) is the health of the subject suggested by the determination result data. It is a figure which shows an example of the message which shows the state. (A) is a diagram illustrating an output mode (for gout disease risk determination) of the determination result data by the health condition determination support device 20 in another aspect of the present disclosure, and (b) is a diagram of a subject suggested by the determination result data. It is a figure which shows an example of the message which shows the health state. It is a schematic diagram which shows the structure of the health condition determination support system 1'in still another aspect of this disclosure. (A) is a block configuration diagram of the computer terminal 20'in still another aspect of the present disclosure, and (b) is a block configuration diagram of the server 30 in still another aspect of the present disclosure.

<One aspect of the present disclosure>
Hereinafter, one aspect of the present disclosure will be described mainly with reference to FIGS. 1 to 3, 5 and 7.

(1) System Configuration As shown in FIG. 1, the health condition determination support system (hereinafter, determination support system) 1 in this embodiment includes a sensor 10 and a health condition determination support device (hereinafter, determination support device) 20. I have.

The sensor 10 may perform a predetermined voltage sweep scan on, for example, a sensor sheet 10b including a plurality of electrodes (for example, reference, action, counter electrode) for causing a redox reaction, and the above-mentioned electrode group. It includes a measuring instrument 10c configured to be possible. On the surface of a specific electrode such as a working electrode, a predetermined surface decoration such as an enzyme-containing membrane or an ion exchange membrane is used as a functional membrane that allows only a specific component to be measured to permeate or reacts only with this specific component. A membrane may be provided. The sensor sheet 10b and the measuring device 10c drop body fluid such as urine collected from the subject at a predetermined timing onto the measurement window 10a provided on the sensor sheet 10b and bring it into contact with the above-mentioned electrode group, and the sensor sheet 10b and the measuring device 10c are brought into contact with the above-mentioned electrode group. By performing a predetermined voltage sweep scan from the measuring instrument 10c, specific components contained in body fluid (for example, urine sugar contained in urine) are electrolyzed under specific conditions, and an oxidation-reduction reaction occurs at that time. It is configured so that the concentration of a specific component can be measured from the size of. Further, the measuring device 10c is configured so that the concentration data indicating the concentration of the specific component obtained by the measurement can be transmitted to the determination support device 20 through the wireless communication means, the wired communication means, or the like. ..

As shown in FIG. 2, the determination support device 20 includes a CPU (Central Processing Unit) 21a, a RAM (Random Access Memory) 21b, a storage function 21c, an output function 21d configured as a display, a lamp, a buzzer, and the like, and wireless. Alternatively, it is configured as a computer (smartphone, tablet, PC, etc.) having a communication function 21e using a wire. The CPU 21a, the RAM 21b, the storage function 21c, the output function 21d, and the communication function 21e are configured so that data can be exchanged with each other via the internal bus 21f.

The storage function 21c is composed of a non-volatile memory device such as a flash memory and an HDD (Hard Disk Drive). In the storage function 21c, a control program for controlling the operation of the determination support device 20, a data file used for the operation, and the like are readablely stored. Hereinafter, control programs, data files, etc. are collectively referred to simply as programs. The RAM 21b is configured as a memory area (work area) in which programs, data, and the like read by the CPU 21a are temporarily held.

When the CPU 21a executes the control program read from the storage function 21c, the determination support device 20 has a group of functions such as a data acquisition unit 20a, a table storage unit 20b, a determination unit 20c, a data management unit 20d, and a data output unit 20e. Is realized. These functions are realized by a collaborative operation of the above-mentioned program and hardware resources such as a CPU 21a, a RAM 21b, a storage function 21c, an output function 21d, and a communication function 21e. Hereinafter, these functions realized in the determination support device 20 will be described in order.

(Data acquisition department)
The data acquisition unit 20a is a first concentration data D1 indicating the concentration of a specific component contained in a body fluid (here, urine as an example) containing at least one of urine, saliva, and nasal discharge collected from a subject at the first timing. Then, the second concentration data D2 showing the concentration of a specific component contained in the body fluid (also urine as an example) collected from this subject at a second timing different from the first timing is wirelessly or wired or the like. It is configured to be acquired from each of the sensors 10 via the communication means of the above. Examples of the specific component contained in urine include urine sugar, uric acid, sodium, potassium, nitrite, arginine, albumin, creatinine, etc. In this embodiment, the case where the specific component is urine sugar is an example. It will be explained by listing in.

As the first and second timings, for example, timings such that the above-mentioned concentration change of the specific component becomes large can be selected between these timings. For example, these timings are set at predetermined times before and after an event (meal, exercise, etc.) in which some load or impact is applied to the subject's body (various organs and muscle tissues). This makes it possible to increase the change in the concentration of the specific component between the first and second timings.

When urinary sugar or uric acid is selected as a specific component, the first timing is, for example, the timing at which the subject is likely to become hypoglycemic during the day, specifically, after waking up and before breakfast. It can be timing. Further, the first timing may be, for example, a timing before the subject performs a predetermined exercise action. The second timing is, for example, the timing at which the subject is likely to become hyperglycemic during the day, specifically, within the range of 1 to 3 hours after meals (for example, after breakfast, lunch, and dinner). It can be timing. Further, the second timing may be, for example, a timing within 1 to 3 hours after the subject performs the above-mentioned exercise action.

The second timing may be a timing after the first timing, for example, within 24 hours, preferably within 18 hours, and more preferably within 12 hours from the first timing. can. The data acquisition unit 20a is configured to acquire a set of the first density data D1 and the second density data D2, for example, on a daily basis.

(Table storage)
The table storage unit 20b stores the table format data (hereinafter, the determination logic table) configured so that the determination result data can be referred to so that it can be read. The determination result data is selectively selected according to the combination of the first concentration data D1 and the second concentration data D2, and is the data (reference data, reference data) suggesting the health condition of the subject. That is. The health condition of the subject suggested by the judgment result data will be described in detail later. The determination logic table can be prepared for each specific component contained in the body fluid, that is, for each type of specific component to be measured. The determination logic table shown in FIG. 3 exemplifies a table used for determining the risk of diabetic disease of a subject, with the subject's urine as the target body fluid and the urine sugar contained in the urine as a specific component. Further, the determination logic table shown in FIG. 4 is used in another embodiment described later, and the subject's urine is used as the target body fluid, and the uric acid contained in the urine is used as a specific component, and the subject's gout disease risk. This is an example of a table used for determining the above. The table storage unit 20b is configured to store the various determination logic tables illustrated in FIGS. 3 and 4 in the storage function 21c in advance in the form of a file or the like, respectively.

(Judgment unit)
The determination unit 20c is configured to output determination result data suggesting the health condition of the subject based on the values of the first density data D1 and the second density data D2 acquired by the data acquisition unit 20a. The operation will be described in detail later. The determination unit 20c is configured to output the determination result data every day (every time the first density data D1 and the second density data D2 are acquired), for example.

(Data management department)
The data management unit 20d is configured to readablely store the determination result data output by the determination unit 20c. Specifically, the data management unit 20d uses the determination result data and the set of the first density data D1 and the second density data D2 used for the output (selection) of the determination result data as the acquisition date and time of the density data D1 and D2. It is configured to be readable and stored in the storage function 21c together with the output date and time of the determination result data.

The data management unit 20d is configured to readablely store the determination result data output by the determination unit 20c on a daily basis for a predetermined data retention period. The data retention period can be set weekly, monthly, or yearly, and further, any period according to the subject's wishes, for example, from the previous regular medical examination to the next regular medical examination of the subject. It is configured so that the period and the like can be set.

In addition, the data management unit 20d provides data (load data) indicating the magnitude of the load applied to the subject's body (various organs and muscle tissues) between the first timing and the second timing described above. It is also configured to readablely store "meal data" indicating the contents of food and drink ingested by the subject during the timing of the above in the memory function 21c together with the determination result data. Dietary data includes, for example, the timing of meals (breakfast, lunch, dinner, and other snacks), the content and amount of meals, and various nutrients (sugars, proteins, lipids, vitamins, minerals, dietary fiber, and other purines) contained therein. Any information can be selected and included from various information such as the amount and balance of (substances such as), calorie intake, presence / absence of drinking and its intake, presence / absence of stimulant substances such as caffeine and their intake. ..

In addition, the data management unit 20d indicates the content of the exercise performed by the subject during these timings as the load data applied to the subject's body between the first timing and the second timing described above. The "data" is also configured to be readable and stored in the storage function 21c together with the determination result data. The exercise data can include, for example, arbitrary information selected from various information such as the type, frequency, execution timing, amount of exercise, and calories burned.

Further, the data management unit 20d is also configured to readablely store the health assistance data regarding the health condition of the subject together with the determination result data. The health support data includes, for example, various attribute information (blood type, age, gender, body type, race, genetic information, basal metabolic rate, residential area, etc.) indicating the subject's height, weight, and other physical characteristics, and the subject. Results of health examinations (basal vital data such as blood pressure, pulse, respiratory rate, body temperature, other vital data such as various components in blood and acidity of blood, presence / absence of disease and its severity, etc.), and various other advice Information indicating that can be included.

Meal data, exercise data, and health assistance data can be acquired by inputting a subject from an input device connected to the determination support device 20. The input device can be configured by displaying, for example, a GUI (Graphical User Interface) on the output function 21d configured as a display or the like.

(Data output section)
The data output unit 20e is configured to be able to output the determination result data stored in the data management unit 20d. Specifically, the data output unit 20e reads the determination result data stored in the data management unit 20d from the storage function 21c, and the determination result data itself or various contents (subject's) to be described later suggested by the determination result data. It is configured so that a predetermined message indicating a health condition) can be output and displayed toward the output function 21d configured as a display or the like (reference numeral in FIG. 7A). See 22a. Here, the case of message display is illustrated). The various messages indicating the health condition of the subject suggested by the judgment result data are defined to explain the contents of each type of judgment result data as illustrated in FIG. 7B, and the memory function 21c. It is assumed that it is stored in a readable state in advance. In the present specification, "outputting the judgment result data" means either the case of outputting the judgment result data itself or the case of outputting a message indicating the health condition of the subject suggested by the judgment result data. It shall include doing one or doing both. This point is the same in various aspects described later.

Further, the data output unit 20e selects determination result data for an arbitrary period from the plurality of determination result data stored in the data management unit 20d over the above-mentioned predetermined period, and these data or these data. It is also configured so that the above-mentioned messages corresponding to can be output in chronological order, for example. As the output target period, a weekly unit, a monthly unit, or a yearly unit can be selected in the same manner as the above-mentioned data retention period, and an arbitrary period according to the subject's wishes, for example, the previous subject's previous period. It is configured so that the period from the regular medical examination to the next regular medical examination can be selected.

The data output unit 20e outputs the above-mentioned determination result data or the above-mentioned message indicating the health condition of the subject suggested by this data together with the absolute values of the first density data D1 and the second density data D2. (See reference numeral 22b in FIG. 7A). At this time, the data output unit 20e selects a set of data for an arbitrary period from a plurality of sets of the first density data D1 and the second density data D2 stored by the data management unit 20d over the predetermined period. However, it is also configured so that those absolute values can be output in chronological order, for example.

Further, the data output unit 20e displays the above-mentioned determination result data or the above-mentioned message indicating the health condition of the subject suggested by this data together with the average value and the rate of change of the second concentration data D2 with respect to the first concentration data D1. It is also configured so that it can be output (see reference numeral 22c in FIG. 7A. Here, the case of displaying the rate of change is illustrated). At this time, the data output unit 20e selects data for an arbitrary period from the plurality of sets of the first density data D1 and the second density data D2 stored by the data management unit 20d over the predetermined period. It is also configured so that the average value and the rate of change can be output in chronological order, for example.

Further, the data output unit 20e displays the above-mentioned determination result data together with the meal data stored in the data management unit 20d, that is, information on the meal ingested by the subject between the first timing and the second timing. It is also configured so that it can be output (see reference numeral 22d in FIG. 7A). Further, at this time, the data output unit 20e is also configured to be able to output a predetermined meal advice message associated with the content of the determination result data, the above-mentioned rate of change, and the like (FIG. 7 (FIG. 7). Refer to reference numeral 22e in a)). Similar to the message illustrated in FIG. 7B, this meal advice message is also defined for each type of determination result data, the rate of change described above, etc., and is stored in the storage function 21c in advance so as to be readable. And.

Further, as will be described in another embodiment described later, the data output unit 20e uses the above-mentioned determination result data as motion data stored in the data management unit 20d, that is, the first timing and the second timing. It is also configured so that it can be output together with information on the exercise performed by the subject in the meantime (see reference numeral 23d in FIG. 8A). Further, at this time, the data output unit 20e is also configured to be able to output a predetermined exercise advice message associated with the content of the determination result data, the above-mentioned rate of change, and the like (FIG. 8 (FIG. 8). See reference numeral 23e in a). Similar to the message illustrated in FIG. 7 (b), this exercise advice message is also defined for each type of determination result data, the rate of change described above, etc. (see FIG. 8 (b)), and is previously stored in the memory function 21c. It is assumed that it is stored readable.

Further, the data output unit 20e is also configured so that the above-mentioned determination result data can be output together with the health assistance data (reference numeral 22f in FIG. 7A).

(2) Judgment support operation Next, the judgment support operation of the health condition of the subject (here, as an example, the risk of diabetic disease) will be described mainly with reference to FIG. The series of operations shown below are executed by the determination support system 1 described above.

(Data acquisition step)
First, the data acquisition unit 20a of the determination support device 20 indicates the concentration of urine sugar (urine sugar value) contained in the urine collected from the subject at the first timing from the sensor 10, and the first concentration data D1 and Second concentration data D2 showing the concentration (urine sugar value) of urine sugar contained in urine collected at a second timing different from the first timing is acquired from this subject. As described above, the first timing can be a timing such that the subject is after waking up and before breakfast, and the second timing is a timing within the range of 1 to 3 hours after eating. can do. Further, as described above, the first timing can be a timing such that the subject is before the exercise, and the second timing is the timing within the range of 1 to 3 hours after the subject is exercising. You can also do it.

First, when the first density data D1 is received at the first timing such as before breakfast or before exercise, the data acquisition unit 20a determines whether or not the value is within a predetermined range. Then, when the first density data D1 is within a predetermined range, the first density data D1 is stored so as to be readable in the storage function 21c together with the acquisition date and time. At this time, the data acquisition unit 20a operates the output function 21d so as to display a message indicating that "the storage of the first density data D1 was successful" and issue a notification sound.

If the density indicated by the first density data D1 is too small (outside the above range), the data acquisition unit 20a prompts the sensor 10 to remeasure or reacquire the first density data D1. The output function 21d or the like is operated so as to display or issue an alarm. Further, when the concentration indicated by the first concentration data D1 is excessive (outside the above range), the data acquisition unit 20a determines that the subject is likely to already have diabetes and is determined by the medical institution. The output function 21d or the like is operated so as to display a message or issue an alarm to encourage a medical examination or the like.

Further, when the second concentration data D2 is received at the second timing such as within 1 to 3 hours after eating or within 1 to 3 hours after exercising, the data acquisition unit 20a determines whether or not the value is within a predetermined range. , The determination is made in the same procedure as the processing at the first timing. Then, when the second density data D2 is within a predetermined range, the second density data D2 is stored so as to be readable in the storage function 21c together with the acquisition date and time. At this time, similarly to the processing at the first timing, the data acquisition unit 20a outputs a message indicating that "the storage of the second density data D2 was successful" and issues a notification sound. Operate function 21d.

When the density indicated by the second density data D2 is too small (outside the above range), the data acquisition unit 20a performs the second density data D2 by the sensor 10 as in the process at the first timing. The output function 21d or the like is operated so as to display a message prompting re-measurement or re-acquisition of the data and issue an alarm. Further, when the concentration indicated by the second concentration data D2 is excessive (outside the above range), the data acquisition unit 20a determines that the subject is likely to already have diabetes and is determined by the medical institution. The output function 21d or the like is operated so as to display a message prompting a medical examination or issue an alarm.

(Judgment step)
When the storage of the first density data D1 and the second density data D2 in the storage function 21c is completed, the determination unit 20c reads the first density data D1 and the second density data D2 from the storage function 21c, respectively, and stores the table. Refer to the determination logic table stored in the part 20b. Then, the determination unit 20c determines the risk of diabetes disease of the subject based on the combination of the first concentration data D1 and the second concentration data D2, at least four types of risks defined in advance in the determination logic table (here, as an example, it will be described later). Select from DR _max , DR _mid1 , DR _mid2 , DR _min ) to be selected, and output the data indicating this selection result as the judgment result data.

Specifically, when the concentration of urine sugar indicated by the first concentration data D1 and the second concentration data D2 is greater than or equal to the threshold value (each with urine sugar), the determination unit 20c determines that the determination result data is ". Data indicating that the subject's risk of diabetes is the highest among the four types of risks listed in the determination logic table, "high risk of diabetes (DR _max )" is output. Here, DR _max suggests that "the subject has a high risk of developing diabetes in the future" because the concentration of urine sugar indicated by the first concentration data D1 and the second concentration data D2 is equal to or higher than the threshold value, respectively. It can be interpreted as data.

When the urinary sugar concentration indicated by the first concentration data D1 and the second concentration data D2 is less than the threshold value (without urinary sugar, respectively), the determination unit 20c determines that the determination result data is "diabetes of the subject". Data indicating that the _{disease risk is "low risk of diabetes disease (DR min} )", which is the lowest among the four types of risks listed in the determination logic table, is output. Here, DR _min suggests that "the subject has a low risk of developing diabetes in the future" because the concentration of urine sugar indicated by the first concentration data D1 and the second concentration data D2 is less than the threshold value, respectively. It can be interpreted as data.

Further, when the concentration of urinary sugar indicated by the first concentration data D1 is greater than or equal to the threshold value (with urinary sugar) and the concentration of urinary sugar indicated by the second concentration data D2 is greater than or equal to the threshold value (urinary sugar). None), the determination unit 20c, as the determination result data, "the subject's diabetic disease risk is" one of the diabetic disease risks (DR _mid1 ) "with a _{magnitude between the above-mentioned DR max} and DR _min." Data indicating that effect is selected from the judgment logic table and output. With DR _mid1 , for example, although the risk that the subject has diabetes _{is lower than the above-mentioned DR max} , the concentration of urine sugar indicated by the first concentration data D1 is equal to or higher than the threshold value. It can be interpreted as data suggesting that "is." Furthermore, since the urinary sugar concentration decreased from the first timing to the second timing, "the influence of the load-bearing events (diet, exercise, etc.) applied to the subject's body during these timings". Data suggesting that the subject's risk of diabetes may have been reduced, that is, "to reduce the risk of diabetes, a meal similar to the meal the subject ingested between the first and second timings, or , It is desirable to continue the same exercise as the exercise performed between the first and second timings in the future. "

Further, when the concentration of urine sugar indicated by the first concentration data D1 is less than the threshold value (without urine sugar) and the concentration of urine sugar indicated by the second concentration data D2 is greater than or equal to the threshold value (urine sugar). Yes), the determination unit 20c, as the determination result data, "the subject's diabetic disease risk is" among the diabetic disease risk 2 (DR _mid2 ) "with a _{magnitude between the above-mentioned DR max} and DR _min." Data indicating that effect is selected from the judgment logic table and output. With DR _mid2 , for example, although the risk that the subject has diabetes _{is lower than the above-mentioned DR max} , the concentration of urine sugar indicated by the second concentration data D2 is equal to or higher than the threshold value. It can be interpreted as data suggesting that "is." Furthermore, since the urinary sugar concentration increased from the first timing to the second timing, "the influence of the load-bearing events (diet, exercise, etc.) applied to the subject's body during these timings". Data suggesting that the subject's risk of diabetes may have increased, that is, "to reduce the risk of diabetes, a diet similar to the diet the subject ingested between the first and second timings, or , The same exercise as the exercise performed between the first and second timings should not be continued in the future. "

(Data storage step)
The determination result data output by the determination unit 20c is readable and stored in the storage function 21c by the data management unit 20d. Further, the data management unit 20d sets the combination of the determination result data and the first density data D1 and the second density data D2 used for the output (judgment) of the determination result data, the acquisition date and time of the density data D1 and D2, and the determination result data. It is readable and stored in the storage function 21c together with the output date and time of.

Further, as described above, the data management unit 20d determines the determination result data output by the determination unit 20c on a daily basis, such as weekly, monthly, yearly, or the period from the previous regular medical examination to the next regular medical examination. It can be stored readable over the data retention period of.

In addition, the data management unit 20d stores, as load data, meal data indicating the contents of food and drink ingested by the subject between the first timing and the second timing described above, together with the determination result data, in the storage function 21c. Can be stored readable in.

Further, the data management unit 20d stores the exercise data indicating the content of the exercise performed by the subject between the above-mentioned first timing and the second timing as the load data in the storage function 21c together with the determination result data. It can be stored readable.

In addition, the data management unit 20d can also readablely store the health assistance data regarding the health condition of the subject together with the determination result data.

The meal data, the exercise data, and the health support data can be stored at any timing, not limited to the timing of storing the first concentration data D1, the second concentration data D2, and the determination result data.

(Data output step)
After the storage of the determination result data in the storage function 21c is completed, the data output unit 20e outputs the determination result data stored in the data management unit 20d at an arbitrary timing such as when the subject requests. .. For example, the data output unit 20e outputs this information, that is, a message indicating the health condition of the subject suggested by the above-mentioned determination result data or the message to the output function 21d configured as a display. Information suggesting the health condition of the subject is displayed on the display in a manner as illustrated by reference numeral 22a in FIG. 7 (a).

At this time, as described above, the data output unit 20e sends the above-mentioned determination result data or a message indicating the health condition of the subject suggested by this data as the absolute value of the first density data D1 and the second density data D2. At the same time, it is possible to output in the manner illustrated in reference numeral 22b of FIG. 7A. Further, the data output unit 20e displays the above-mentioned determination result data or a message indicating the health condition of the subject suggested by this data together with the rate of change of the second concentration data D2 with respect to the first concentration data D1 in FIG. 7 (a). ) Can be output in the manner illustrated in reference numeral 22c.

Further, the data output unit 20e sends the above-mentioned determination result data or a message indicating the health condition of the subject suggested by this data to the meal data stored in the data management unit 20d, that is, the first timing and the first. It is also possible to output in the manner illustrated by reference numeral 22d in FIG. 7A together with the information regarding the meal ingested by the subject during the timing of 2. Further, the data output unit 20e outputs a predetermined meal advice message associated with the content of the above-mentioned determination result data, the above-mentioned rate of change, and the like in a manner as illustrated by reference numeral 22e in FIG. 7A. You can also do it.

Further, as will be described in another embodiment described later, the data output unit 20e stores the above-mentioned determination result data or a message indicating the health condition of the subject suggested by the data in the data management unit 20d. It is also possible to output the data, that is, the information about the exercise performed by the subject between the first timing and the second timing, in the manner illustrated by reference numeral 23d in FIG. 8 (a). Further, the data output unit 20e may output a predetermined exercise advice message associated with the content of the determination result data, the above-mentioned rate of change, and the like in a manner as illustrated by reference numeral 23e in FIG. 8A. can.

Further, the data output unit 20e exemplifies the above-mentioned determination result data or a message indicating the health condition of the subject suggested by this data in reference numeral 22f in FIG. 7A and reference numeral 23f in FIG. 8A. In such an embodiment, it can be output together with the health assistance data.

(3) Effect According to this aspect, one or more of the following effects are exhibited.

(A) Judgment result data suggesting the health condition of the subject based on the first concentration data D1 and the second density data D2 acquired by the judgment support device 20 at different timings, or the health of the subject suggested by this data. Since the message indicating the condition is automatically output, the subject can easily grasp the reference information (in this embodiment, the risk that the subject develops diabetes) that can be used for determining his / her health condition. It becomes.

(B) The first timing is before meals (for example, after waking up and before breakfast) when the subject is likely to be in a hypoglycemic state during the day, and the second timing is when the subject is in a hyperglycemic state during the day. It is possible to accurately and sensitively reflect the health condition of the subject in the determination result data by setting the timing so that it is likely to occur (for example, within 1 to 3 hours after eating). As a result, the subject can more surely grasp the risk of developing diabetes. Even when the first timing is before the exercise and the second timing is after the exercise, substantially the same effect can be obtained.

(C) The data management unit 20d stores the determination result data readable over the above-mentioned predetermined period, and the data output unit 20e selects the determination result data for an arbitrary period from the plurality of determination result data, for example. By outputting the data side by side in a series, the subject can easily grasp the transition of his / her health condition and can easily predict future changes.

(D) The data output unit 20e outputs the determination result data together with the absolute values of the first density data D1 and the second density data D2, so that the subject can quantitatively grasp his / her health condition. It becomes.

(E) The data output unit 20e outputs the determination result data together with the rate of change of the second density data D2 with respect to the first density data D1, so that the subject can easily grasp his / her health condition. Become.

(F) The data management unit 20d readablely stores the meal data indicating the contents of the food and drink ingested by the subject between the first timing and the second timing together with the determination result data, and also, the data management unit. By outputting the determination result data together with the meal data by 20d, the subject can easily grasp the causal relationship between his / her health condition and the meal. As a result, the subject can easily determine what kind of meal should be ingested in order to improve the health condition, and make efforts for improvement.

(G) The data management unit 20d readablely stores the exercise data indicating the content of the exercise performed by the subject between the first timing and the second timing together with the determination result data, and the data management unit 20d. However, by outputting the determination result data together with the exercise data, the subject can easily grasp the causal relationship between his / her health condition and exercise. As a result, the subject can easily determine what kind of exercise should be performed in order to improve the health condition, and make efforts for improvement.

(H) The data management unit 20d readablely stores the health assistance data relating to the health condition of the subject together with the judgment result data, and the data output unit 20e outputs the judgment result data together with the health assistance data, so that the subject can receive the subject. , It becomes easy to comprehensively grasp one's own health condition. For example, it becomes possible to easily grasp the relationship between diabetes and the situation of other diseases.

<Other aspects of the present disclosure>
In the above aspect, an example in which urinary sugar is selected as a specific component contained in urine to support the determination of the risk of diabetic disease in a subject has been described, but the present disclosure is not limited to such an aspect. For example, uric acid may be selected as a specific component contained in urine to assist the subject in determining the risk of gout disease.

In this case, in the above-mentioned determination step, the determination unit 20c reads out the first concentration data D1 and the second concentration data D2 (both are uric acid concentrations, that is, uric acid values) from the storage function 21c, and stores them in the table storage unit 20b. Refer to the judgment logic table (for gout disease risk judgment) illustrated in FIG. 4 which is stored. Then, the determination unit 20c determines the risk of gout disease of the subject based on the combination of the first concentration data D1 and the second concentration data D2, and at least four kinds of risks defined in advance in the determination logic table (here, GR as an example). _It is selectively selected from max, GR _mid1 , GR _mid2 , GR _ex ), and the data indicating the selection result is output as the determination result data.

Specifically, as shown in FIG. 6, when the concentration of uric acid indicated by the first concentration data D1 and the second concentration data D2 is greater than or equal to the threshold value (each having a large amount of uric acid), the determination unit 20c determines. As the result data, data indicating that "the subject's gout disease risk is the highest" gout disease risk high (GR _max ) "among the four types of risks listed in the determination logic table" is output. Here, GR _max is data suggesting that "the subject has a high risk of developing gout in the future" because the concentration of uric acid indicated by the first concentration data D1 and the second concentration data D2 is equal to or higher than the threshold value, respectively. Can be interpreted as.

Further, when the concentration of uric acid indicated by the first concentration data D1 is greater than or equal to the threshold value (more uric acid) and the concentration of uric acid indicated by the second concentration data D2 is less than the threshold value (less uric acid), the determination is made. _{Part 20c selects} , as the determination result data, data indicating that "the subject's risk of gout disease is" risk 1 (GR _{mid1) "which is lower than the above-mentioned GR max} " from the determination logic table. Output. GR _mid1 means, for example, that the risk of the subject suffering from gout _{is lower than the above-mentioned GR max} , but the concentration of uric acid indicated by the first concentration data D1 is equal to or higher than the threshold value. It can be interpreted as data suggesting that there is. Furthermore, since the uric acid concentration decreased from the first timing to the second timing, "due to the influence of the load-bearing events (diet, exercise, etc.) applied to the subject's body during these timings. Data suggesting that the subject's risk of gout disease may have been reduced, that is, "to reduce the risk of gout disease, a meal similar to the meal the subject ingested between the first and second timings, or It can be interpreted as data suggesting that it is desirable to continue the same exercise as the exercise performed between the first and second timings. "

Further, when the concentration of uric acid indicated by the first concentration data D1 is less than the threshold value (less uric acid) and the concentration of uric acid indicated by the second concentration data D2 is greater than or equal to the threshold value (more uric acid), the determination is made. _{Part 20c selects} , as the determination result data, data indicating that "the subject's risk of gout disease is" risk medium 2 (GR _{mid2) "which is lower than the above-mentioned GR max} " from the determination logic table. Output. GR _mid2 means, for example, that the risk of the subject suffering from gout _{is lower than the above-mentioned GR max} , but the concentration of uric acid indicated by the second concentration data D2 is equal to or higher than the threshold value. It can be interpreted as data suggesting that there is. Furthermore, since the uric acid concentration increased from the first timing to the second timing, "due to the influence of the load-bearing events (diet, exercise, etc.) applied to the subject's body during these timings. Data suggesting that the subject's risk of gout disease may have increased, that is, "to reduce the risk of gout disease, the subject ate a meal similar to the meal taken between timings, or between timings. It can be interpreted as data suggesting that exercise similar to exercise should not be continued in the future. "

When the uric acid concentrations indicated by the first concentration data D1 and the second concentration data D2 are less than the threshold value (each having less uric acid), the determination unit 20c determines that the determination result data is "the subject excretes uric acid. It outputs data showing _{"exhaust disorder risk (GR ex} )" suggesting the possibility of being ill with the disorder. GR _ex is data suggesting that "the subject may not be ill with uric acid excretion disorder, but just in case, he / she should consult a medical institution once for uric acid excretion disorder". Can be interpreted as.

Other steps can be similar to those described above. Also in this aspect, substantially the same effect as the above-described aspect can be obtained. In addition, this aspect can be carried out in combination with the above-mentioned aspect in any form.

<Another aspect of the present disclosure>
In the above aspect, the function group such as the data acquisition unit 20a, the table storage unit 20b, the determination unit 20c, the data management unit 20d, and the data output unit 20e is mounted on the determination support device 20 configured as a computer terminal such as a smartphone. Although an example of realizing all of them has been described, the present disclosure is not limited to such an embodiment. For example, as shown in FIG. 9, a health condition determination support system 1'provided a computer terminal 20'and a server 30 as a computer connected to the computer terminal 20' via a communication network 40 such as the Internet. , The same function may be realized.

In this case, as shown in FIG. 10A, the computer terminal 20'may be provided with functional groups such as a data acquisition unit 20a and a data output unit 20e configured in the same manner as described above. Then, the computer terminal 20'is subjected to the first concentration data indicating the concentration of the specific component contained in the body fluid including at least one of urine, saliva, tears, sweat, and runny nose collected from the subject at the first timing, and Each of the second concentration data indicating the concentration of the specific component contained in the body fluid collected from the subject at the second timing different from the first timing may be transmitted to the server 30. The details of the operation described here can be the same as those described above.

Further, in this case, as shown in FIG. 10B, the server 30 has the same CPU 31a, RAM 31b, and storage function 31c as the CPU 21a, RAM 21b, storage function 21c, output function 21d, and communication function 21e described in the above-described embodiment. , Output function 31d, and communication function 31e. The CPU 31a, the RAM 31b, the storage function 31c, the output function 31d, and the communication function 31e are configured so that data can be exchanged with each other via the internal bus 31f. Further, in this case, the server 30 has the same function groups as the table storage unit 20b, the determination unit 20c, and the data management unit 20d described in the above-described embodiment, that is, the data reception unit 30a, the table storage unit 30b, the determination unit 30c, and the data. The function groups such as the management unit 30d and the data output unit 30e may be realized respectively. Then, the server 30 outputs and readablely stores the determination result data suggesting the health condition of the subject based on the first density data and the second density data received from the computer terminal 20', and also stores the determination result data. May be operated to be transmitted to the computer terminal 20'. The details of the operation described here can be the same as those described above.

In the above aspect, an example in which the body fluid collected from the subject is urine has been described, but the present disclosure is not limited to such an aspect. For example, the body fluid collected from the subject may be saliva, runny nose, sweat, tears and the like. Further, in the above-described embodiment, an example of measuring the concentration of urinary sugar or uric acid as a specific component contained in a body fluid has been described, but the present disclosure is not limited to such an embodiment. For example, the specific component contained in the body fluid may be a component such as sodium, potassium, nitrite, arginine, albumin, creatinine, etc. whose concentration in the body fluid changes with the passage of time, in addition to urinary sugar and uric acid. ..

Also in this aspect, substantially the same effect as the above-described aspect can be obtained. It should be noted that this aspect can be implemented in combination with the above-mentioned various aspects in any form.

<Preferable aspect of the present disclosure>
Hereinafter, preferred embodiments of the present disclosure will be described.

(Appendix 1)
According to one aspect of the present disclosure
First concentration data indicating the concentration of a specific component contained in a body fluid containing at least one of urine, saliva, and runny nose collected from a subject at the first timing, and a first concentration data different from the first timing from the subject. A data acquisition unit that acquires second concentration data indicating the concentration of the specific component contained in the body fluid collected at the timing of 2.
A determination unit that outputs determination result data suggesting the health condition of the subject based on the first concentration data and the second concentration data acquired by the data acquisition unit.
A data management unit that readablely stores the determination result data output by the determination unit, and
A data output unit that outputs the determination result data stored in the data management unit, and a data output unit.
A health condition determination support device having the above is provided.

(Appendix 2)
The device according to Appendix 1.
The specific component is urinary sugar,
Based on the combination of the first concentration data and the second concentration data, the determination unit selectively selects the risk of diabetes disease of the subject from at least four types of risks, and obtains data indicating the selection result. It is configured to be output as the determination result data.

(Appendix 3)
The device according to Appendix 2.
The determination unit
When the concentration of the specific component indicated by the first concentration data and the second concentration data is greater than or equal to the threshold value, the determination result data shows that the subject's risk of diabetes disease is the four types of risks. Outputs data indicating that the _{DR max} is the highest among them.
When the concentration of the specific component indicated by the first concentration data and the second concentration data is less than the threshold value, the determination result data shows that the subject has a risk of diabetic disease among the four types of risks. Outputs data indicating that it has the lowest DR _min,
When the concentration of the specific component indicated by the first concentration data is greater than or equal to the threshold value and the concentration of the specific component indicated by the second concentration data is less than the threshold value, and when the concentration of the specific component is less than the threshold value, and the first concentration data. When the concentration of the specific component indicated by is less than the threshold value and the concentration of the specific component indicated by the second concentration data is greater than or equal to the threshold value, the subject is used as the determination result data. It is configured to output data indicating that the risk of diabetic disease is _{between the DR max} and the DR _min.

(Appendix 4)
The device according to Appendix 1.
The specific component is uric acid,
The determination unit selectively selects the gout disease risk of the subject from at least four types of risks based on the combination of the first concentration data and the second concentration data, and obtains data indicating the selection result. It is configured to be output as the determination result data.

(Appendix 5)
The device according to Appendix 4.
The determination unit
When the concentration of the specific component indicated by the first concentration data and the second concentration data is greater than or equal to the threshold value, the determination result data shows that the subject's risk of gout disease is the four types of risks. Outputs data indicating that the _{GR max} is the highest among them.
When the concentration of the specific component indicated by the first concentration data is greater than or equal to the threshold value and the concentration of the specific component indicated by the second concentration data is less than the threshold value, and when the concentration of the specific component is less than the threshold value, and the first concentration data. When the concentration of the specific component indicated by is less than the threshold value and the concentration of the specific component indicated by the second concentration data is greater than or equal to the threshold value, the subject is used as the determination result data. Data indicating that the risk of gout disease _{is lower than the GR max is output.}
When the concentration of the specific component indicated by the first concentration data and the second concentration data is less than the threshold value, the determination result data shows the risk that the subject has a disorder of uric acid excretion. It is configured to output data suggesting the existence of.

(Appendix 6)
The device according to any one of Supplementary note 1 to 5.
The first timing is before the subject eats and drinks, and the second timing is after the subject eats and drinks.

(Appendix 7)
The device according to any one of Supplementary note 1 to 5.
The first timing is before the subject's exercise, and the second timing is after the subject's exercise.

(Appendix 8)
The device according to any one of Supplementary note 1 to 7.
The data management unit readablely stores the determination result data output by the determination unit over a predetermined data retention period.
The data output unit is configured to select and output determination result data for an arbitrary period from a plurality of determination result data stored by the data management unit over the predetermined period.

(Appendix 9)
The device according to any one of Supplementary notes 1 to 8.
The data output unit is configured to output the determination result data together with the absolute values of the first density data and the second density data.

(Appendix 10)
The device according to any one of Appendix 1 to 9.
The data output unit is configured to output the determination result data together with the rate of change of the second density data with respect to the first density data.

(Appendix 11)
The device according to any one of Supplementary note 1 to 10.
The data management unit readablely stores meal data indicating the contents of food and drink ingested by the subject between the first timing and the second timing together with the determination result data.
The data output unit is configured to output the determination result data together with the meal data.

(Appendix 12)
The device according to any one of Supplementary note 1 to 11.
The data management unit readablely stores exercise data indicating the content of the exercise performed by the subject between the first timing and the second timing together with the determination result data.
The data output unit is configured to output the determination result data together with the motion data.

(Appendix 13)
The device according to any one of Supplementary notes 1 to 12.
The data management unit readablely stores the health assistance data regarding the health condition of the subject together with the determination result data.
The data output unit is configured to output the determination result data together with the health assistance data.

(Appendix 14)
According to another aspect of the present disclosure.
First concentration data indicating the concentration of a specific component contained in body fluid including at least one of urine, saliva, and nasal discharge collected from the subject at the first timing, and a first concentration data different from the first timing from the subject. A data acquisition procedure for acquiring second concentration data indicating the concentration of the specific component contained in urine collected at the timing of 2 and a data acquisition procedure.
A determination procedure for outputting determination result data suggesting the health condition of the subject based on the first concentration data and the second concentration data acquired in the data acquisition procedure, and a determination procedure.
A data management procedure for readable storage of the determination result data output in the determination procedure, and
A data output procedure for outputting the determination result data stored in the data management procedure, and a data output procedure.
A program configured to cause a computer to execute the program, or a computer-readable recording medium on which the program is recorded is provided.

(Appendix 15)
According to yet another aspect of the present disclosure.
A health condition determination support system including a computer terminal and a server connected to the computer terminal via a communication network.
The computer terminal includes first concentration data indicating the concentration of a specific component contained in a body fluid containing at least one of urine, saliva, and runny nose collected from the subject at the first timing, and the first concentration data from the subject. It is configured to transmit each of the second concentration data indicating the concentration of the specific component contained in the body fluid collected at the second timing different from the timing to the server.
Based on the first concentration data and the second concentration data received from the computer terminal, the server outputs determination result data suggesting the health condition of the subject and stores it in a readable manner, and also stores the determination result in a readable manner. A health condition determination support system configured to transmit data to the computer terminal is provided.

10 Sensor 20 Health condition judgment support device 20a Data acquisition unit 20b Table storage unit 20c Judgment unit 20d Data management unit 20e Data output unit

Claims (15)

First concentration data indicating the concentration of a specific component contained in a body fluid containing at least one of urine, saliva, and runny nose collected from a subject at the first timing, and a first concentration data different from the first timing from the subject. A data acquisition unit that acquires second concentration data indicating the concentration of the specific component contained in the body fluid collected at the timing of 2.
A determination unit that outputs determination result data suggesting the health condition of the subject based on the first concentration data and the second concentration data acquired by the data acquisition unit.
A data management unit that readablely stores the determination result data output by the determination unit, and
A data output unit that outputs the determination result data stored in the data management unit, and a data output unit.
Health condition judgment support device having. The specific component is urinary sugar,
The determination unit selectively selects the risk of diabetes disease of the subject from at least four types of risks based on the combination of the first concentration data and the second concentration data, and obtains data indicating the selection result. The health condition determination support device according to claim 1, which is configured to output as the determination result data. The determination unit
When the concentration of the specific component indicated by the first concentration data and the second concentration data is greater than or equal to the threshold value, the determination result data shows that the subject's risk of diabetes disease is the four types of risks. Outputs data indicating that the _{DR max} is the highest among them.
When the concentration of the specific component indicated by the first concentration data and the second concentration data is less than the threshold value, the determination result data shows that the subject has a risk of diabetic disease among the four types of risks. Outputs data indicating that it has the lowest DR _min,
When the concentration of the specific component indicated by the first concentration data is greater than or equal to the threshold value and the concentration of the specific component indicated by the second concentration data is less than the threshold value, and when the concentration of the specific component is less than the threshold value, and the first concentration data. When the concentration of the specific component indicated by is less than the threshold value and the concentration of the specific component indicated by the second concentration data is greater than or equal to the threshold value, the subject is used as the determination result data. The health condition determination support device according to claim 2, which is configured to output data indicating that the risk of diabetic disease is _{between the DR max} and the DR _min. The specific component is uric acid,
The determination unit selectively selects the gout disease risk of the subject from at least four types of risks based on the combination of the first concentration data and the second concentration data, and obtains data indicating the selection result. The health condition determination support device according to claim 1, which is configured to output as the determination result data. The determination unit
When the concentration of the specific component indicated by the first concentration data and the second concentration data is greater than or equal to the threshold value, the determination result data shows that the subject's risk of gout disease is the four types of risks. Outputs data indicating that the _{GR max} is the highest among them.
When the concentration of the specific component indicated by the first concentration data is greater than or equal to the threshold value and the concentration of the specific component indicated by the second concentration data is less than the threshold value, and when the concentration of the specific component is less than the threshold value, and the first concentration data. When the concentration of the specific component indicated by is less than the threshold value and the concentration of the specific component indicated by the second concentration data is greater than or equal to the threshold value, the subject is used as the determination result data. Data indicating that the risk of gout disease _{is lower than the GR max is output.}
When the concentration of the specific component indicated by the first concentration data and the second concentration data is less than the threshold value, the determination result data shows the risk that the subject has a disease in uric acid excretion disorder. The health condition determination support device according to claim 3, which is configured to output data suggesting the existence of. The health condition determination support device according to any one of claims 1 to 5, wherein the first timing is before eating and drinking of the subject, and the second timing is after eating and drinking of the subject. The health condition determination support device according to any one of claims 1 to 5, wherein the first timing is before the exercise of the subject, and the second timing is after the exercise of the subject. The data management unit readablely stores the determination result data output by the determination unit over a predetermined data retention period.
Claims 1 to 7 are configured such that the data output unit selects and outputs determination result data for an arbitrary period from a plurality of determination result data stored in the data management unit over a predetermined period. The health condition determination support device according to any one of the above items. The health condition determination according to any one of claims 1 to 8, wherein the data output unit outputs the determination result data together with the absolute values of the first concentration data and the second concentration data. Support device. The health condition determination according to any one of claims 1 to 9, wherein the data output unit outputs the determination result data together with the rate of change of the second concentration data with respect to the first concentration data. Support device. The data management unit readablely stores meal data indicating the contents of food and drink ingested by the subject between the first timing and the second timing together with the determination result data.
The health condition determination support device according to any one of claims 1 to 10, wherein the data output unit is configured to output the determination result data together with the meal data. The data management unit readablely stores exercise data indicating the content of the exercise performed by the subject between the first timing and the second timing together with the determination result data.
The health condition determination support device according to any one of claims 1 to 11, wherein the data output unit is configured to output the determination result data together with the exercise data. The data management unit readablely stores the health assistance data regarding the health condition of the subject together with the determination result data.
The health condition determination support device according to any one of claims 1 to 12, wherein the data output unit is configured to output the determination result data together with the health assistance data. First concentration data indicating the concentration of a specific component contained in body fluid including at least one of urine, saliva, and nasal discharge collected from the subject at the first timing, and a first concentration data different from the first timing from the subject. A data acquisition procedure for acquiring second concentration data indicating the concentration of the specific component contained in urine collected at the timing of 2 and a data acquisition procedure.
A determination procedure for outputting determination result data suggesting the health condition of the subject based on the first concentration data and the second concentration data acquired in the data acquisition procedure, and a determination procedure.
A data management procedure for readable storage of the determination result data output in the determination procedure, and
A data output procedure for outputting the determination result data stored in the data management procedure, and a data output procedure.
A program that is configured to let your computer run. A health condition determination support system including a computer terminal and a server connected to the computer terminal via a communication network.
The computer terminal includes first concentration data indicating the concentration of a specific component contained in a body fluid containing at least one of urine, saliva, and runny nose collected from the subject at the first timing, and the first concentration data from the subject. It is configured to transmit each of the second concentration data indicating the concentration of the specific component contained in the body fluid collected at the second timing different from the timing to the server.
Based on the first concentration data and the second concentration data received from the computer terminal, the server outputs determination result data suggesting the health condition of the subject and stores it in a readable manner, and also stores the determination result in a readable manner. A health condition determination support system configured to transmit data to the computer terminal.

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