JP4795666B2 - Health care support device and health care support program - Google Patents

Description

  The present invention relates to a health management support apparatus and a health management support program for supporting the treatment and prevention of lifestyle-related diseases such as hyperlipidemia, hypertension, diabetes, obesity and the like.

  In order to effectively function diabetes management and obesity control and effectively improve the health of users, how to give incentives to users is important.

  Several systems and methods have been proposed for giving incentives. For example, systems disclosed in Patent Document 1 and Patent Document 2 are known as a risk simulation system.

  In patent document 1, in order to provide a computer system for simulating a future risk of developing cardiovascular disease and a risk when an arbitrary treatment target is achieved, a test value input value and a past history input value related to the subject are examined. An input display screen unit for inputting risk factor input values including a processing unit that receives data from the input display screen unit and performs a disease onset risk simulation process for the subject according to an equation derived from an epidemiological survey, and The disease treatment instruction computer system having an output display screen unit for outputting the result generated by the above is disclosed.

Further, in Patent Document 2, from a PC terminal via a network, for the purpose of providing a service for providing a return for efforts to reduce the insurance payment opportunity (insurance risk) of insurance subscribers. An insurance management server is disclosed that sets an effort goal for actions for an insurance subscriber to reduce insurance risk by notification. In particular, the PC terminal acquires action result data for the effort target data using a portable device, a walking pad, a body weight / body fat percentage meter, and notifies the insurance management server. On the other hand, the insurance management server discloses a system and method for setting the content of return for efforts based on the result data and notifying the PC terminal used by the insurance subscriber.
JP2002-24401 JP 2001-344424 A

  However, in order to make incentives for improving user consciousness work in the system as described above, it is necessary to set goals appropriately. However, it is difficult to uniquely determine an index value because an appropriate target varies in various ways depending on the constitution of the user and the progress of health management so far.

  The present invention has been made in consideration of such circumstances, and the object of the present invention is to provide a health management support apparatus capable of generating appropriate information for determining the state of change in health status over time, and To provide a health care support program.

Profile storage means storing a plurality of profile data indicating characteristics including weight and age of a plurality of humans, and an index of human health status, and among blood glucose level, uric acid level and lactic acid level A plurality of healthcare data including at least one kind is stored in association with each of the plurality of persons, and a healthcare storage unit stores information indicating the date and time when each of the plurality of healthcare data was acquired. A means for reading out the profile data stored in the profile storage means in association with a management target person included in the plurality of persons in an accessible health management support apparatus; and similar to the read profile data extraction means for extracting another said profile data from said profile storage means, the tube At least one of the blood glucose level, the uric acid level, and the lactic acid level among the health care data associated with the subject is read as first information from the health care storage unit, and the first information Of the health care data associated with the same person as that associated with the means for reading out the information indicating the date and time when the information is acquired from the health care storage means and the profile data extracted by the extraction means Reading the same kind of the first information as the second information from the healthcare storage means, and reading the information indicating the date and time when the second information was acquired from the healthcare storage means, A graph representing a change with time of the first information based on the first information and information indicating the date and time when the first information was acquired; Information and display means for displaying the presentation screen simultaneously presenting a graph showing the time course of the second information based on the information indicating the acquisition date and time.

Profile storage means storing a plurality of profile data indicating characteristics including weight and age of a plurality of humans, and an index of human health status, and among blood glucose level, uric acid level and lactic acid level A plurality of healthcare data including at least one kind is stored in association with each of the plurality of persons, and a healthcare storage unit stores information indicating the date and time when each of the plurality of healthcare data was acquired. A means for reading out the profile data stored in the profile storage means in association with a management target person included in the plurality of persons, and another computer similar to the read profile data; extracting means for extracting a profile data from the profile storage means, the management pairs At least one of the blood glucose level, the uric acid level, and the lactic acid level in the health care data associated with the person is read out as first information from the health care storage means, and the first information is Of the health care data associated with the same person as that associated with the means for reading out the information indicating the acquired date and time from the health care storage means and the profile data extracted by the extraction means Means for reading out the same kind of information as the first information from the healthcare storage means as second information, and reading out information indicating the date and time when the second information was acquired from the healthcare storage means; 1 and information indicating the date and time when the first information was acquired, a graph representing a change over time of the first information, and the second information And health management support so as to function as a display means for displaying a presentation screen for simultaneously presenting a graph representing a change over time of the second information based on information indicating the date and time when the second information was acquired Configured the program.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to generate | occur | produce suitable information for judging the mode of the time-dependent change of a health condition.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a block diagram showing a configuration of a health management support apparatus 1 according to this embodiment. The health management support apparatus 1 individually manages the health status of a large number of users U, and the health status of a certain user U (hereinafter referred to as a target user) is the health of another user (hereinafter referred to as a benchmark partner). Information indicating what state is in relation to the state is presented. Thereby, the health management support apparatus 1 gives an incentive to each user and supports the health management by each user.

  Note that the user U uses the health care terminal 2 and the user terminal 3 as necessary. The health care terminal 2 acquires health care data for managing the health state of the user U. The health care terminal 2 transfers the acquired health care data to the health management support apparatus 1 via the network 5. The health care data corresponds to, for example, the user's weight, blood pressure, heart rate, heart sound, electrocardiogram, blood glucose level, glucose, uric acid, and lactic acid. The user terminal 3 performs various processes for enabling the user U to use the services provided by the health management support apparatus 1 while communicating with the health management support apparatus 1 via the network 5.

  As shown in FIG. 1, the health management support apparatus 1 includes a communication unit 11, a user profile input unit 12, a profile table storage unit 13, a benchmark condition input unit 14, a partner search data extraction unit 15, a partner search table storage unit 16, A health care input unit 17, a health care table storage unit 18, a partner information extraction unit 19, a difference result determination unit 20, a person result determination unit 21, a point calculation unit 22, a point calculation table storage unit 23, and a presentation screen generation unit 24 are included. .

  The health management support device 1 can use, for example, a general-purpose server device or computer device as basic hardware. And user profile input unit 12, benchmark condition input unit 14, partner search data extraction unit 15, health care input unit 17, partner information extraction unit 19, difference result determination unit 20, identity result determination unit 21, point calculation unit 22, and The presentation screen generation unit 24 can be realized by causing a processor mounted on the server device or the computer device to execute a health management support program. At this time, the health management support device 1 may be realized by installing the above health management support program in the server device or the computer device in advance, or a magnetic disk (floppy (R) disk or the like), a magneto-optical disk, or the like. (Such as MO), optical disc (CD-ROM, DVD-ROM, etc.), recording on a removable recording medium such as a semiconductor memory (memory card, etc.), or the above health management support program is distributed via a network In addition, this health management support program may be implemented by appropriately installing it in a server device or a computer device. Note that part or all of the above-described units can be realized by hardware such as a logic circuit. Each of the above-described units can also be realized by combining hardware and software control. The profile table storage unit 13, the partner search table storage unit 16, the health care table storage unit 18, and the point calculation table storage unit 23 are a storage device such as a memory or a hard disk device built in the server device or computer device, Storage devices such as memory and hard disk devices externally attached to server devices and computer devices, magnetic disks (floppy (R) disks, etc.), magneto-optical disks (MO, etc.), optical disks (CD-RW, DVD-RW, etc.) ) And the like can be realized by appropriately using a removable recording medium.

  The communication unit 11 communicates with the health care terminal 2, the user terminal 3, or the medical facility terminal 4 via the network 5.

  The user profile input unit 12 inputs user profile data transmitted from the user terminal 3 or the medical facility terminal 4 via the communication unit 11. The user profile data is various information indicating the characteristics of the user U. For example, name, address, sex, genetic information, constitution (SNPs), weight, age, regionality (environmental factors), similarity of eating habits, exercise Information such as the similarity of habits, blood glucose level, uric acid level, lactic acid level, and the like corresponds. The user profile input unit 12 registers the input user profile data in the profile table storage unit 13. Specifically, this is performed, for example, by updating the profile table stored in the profile table storage unit 13 so as to include a data record describing the user profile data in association with the identification information of the user U.

  The profile table storage unit 13 stores a profile table. The profile table is a data table in which user profile data relating to each of a large number of users U is described.

  The benchmark condition input unit 14 inputs a benchmark condition transmitted from the user terminal 3 or the medical facility terminal 4. The benchmark condition indicates which data is used for the search for the benchmark partner in the user profile data.

  The partner search data extraction unit 15 selects data to be used for a benchmark partner search from various user profile data described in the profile table storage unit 13 in accordance with the benchmark conditions input by the benchmark condition input unit 14. Extract. The partner search data extraction unit 15 updates the partner search table stored in the partner search table storage unit 16 based on the extracted data.

  The partner search table storage unit 16 stores a partner search table. A partner search table corresponding to each of a large number of users U is stored in the partner search table storage unit 16. FIG. 2 is a diagram illustrating an example of the partner search table. As the parameter value, the information name specified for the partner search in the benchmark condition is described. As the small items, item names for classifying values that can be taken as individual user profile data are described. As Value, a value determined in consideration of the degree to which each of the small items affects the deterioration of the health condition is described. After “Value”, “0” or “1” is used to describe to which of the sub-items the value indicated in the user profile data of each user belongs in association with the identification information given to each user U. Yes.

  The healthcare input unit 17 inputs healthcare data transmitted from the healthcare terminal 2 or the medical facility terminal 4 via the communication unit 11. The healthcare input unit 17 updates the healthcare table stored in the healthcare table storage unit 18 so as to include the input healthcare data. The health care data corresponds to, for example, weight, blood pressure, heart rate, heart sound, electrocardiogram, blood glucose level, glucose, uric acid, lactic acid, and the like.

  The health care table storage unit 18 stores a health care table. A health care table corresponding to each of a large number of users U is stored in the health care table storage unit 18. The health care table stores the health care data input in the past for the corresponding user U. The health care table includes information indicating the date and time when each health care data is acquired.

  The partner information extraction unit 19 selects a benchmark partner based on the partner search table related to the target user stored in the partner search table storage unit 16. The partner information extraction unit 19 extracts the health care data regarding the selected benchmark partner from the health care table storage unit 18.

  The difference result determination unit 20 reads the health care data of the target user from the health care table storage unit 18. The difference result determination unit 20 calculates a difference value between the health care data of the target user and the benchmark partner's health care data extracted by the partner information extraction unit 19.

  The principal result determination unit 21 reads the health care data of the target user from the health care table storage unit 18. The principal result determination unit 21 calculates a degree of improvement over time of the health state of the target user and a degree of improvement with respect to the target value based on the health care data of the target user.

  The point calculation unit 22 is based on the difference value calculated by the difference result determination unit 20, the improvement degree calculated by the principal result determination unit 21, and the point calculation table stored in the point calculation table storage unit 23. Calculate evaluation points for changes in health status.

  The point calculation table storage unit 23 stores a point calculation table. The point calculation table is a data table in which difference values and correction values for improvement are described.

  The presentation screen generation unit 24 reads the health data of the target user from the health care table storage unit 18. The presentation screen generation unit 24 uses the target user's health care data, the partner partner's health care data extracted by the partner information extraction unit 19, and the evaluation points calculated by the point calculation unit 22, to Screen data (hereinafter referred to as presentation screen data) that indicates what state the state is relative to the health condition of the benchmark partner is generated. The presentation screen generation unit 24 transmits the generated presentation screen data to the user terminal 3 via the communication unit 11.

  Next, the operation of the health management support apparatus 1 configured as described above will be described. Here, an example is shown in which the health management support apparatus 1 is used to support user management related to diabetes.

  First, the user profile data of all users U who want to receive the service provided by the health management support apparatus 1 is registered in the profile table stored in the profile table storage unit 13. The user profile data may be input by the user U using the user terminal 3 or using the medical facility terminal 4 installed in a medical facility such as a hospital or clinic based on information such as a service contract. It may be entered by a medical staff such as a doctor or nurse. Alternatively, the health management support apparatus 1 may be provided with an input device such as a keyboard, and the operator of the health management support apparatus 1 may input user profile data based on information such as a service contract.

  On the other hand, the benchmark condition related to the user who intends to receive a new service is input by the benchmark condition input unit 14. The benchmark condition may be input by the user U using the user terminal 3 or using the medical facility terminal 4 installed in a medical facility such as a hospital or clinic based on information such as a service contract. It may be input by a medical staff such as a doctor or a nurse. Alternatively, the health management support apparatus 1 may include an input device such as a keyboard, and the operator of the health management support apparatus 1 may input benchmark conditions based on information such as a service contract. Also, the benchmark condition may be input when the benchmark condition regarding the user U who has already received the service should be changed.

  Note that which items are included as benchmark conditions may be arbitrary, but it is effective to use, for example, SNPs information in order to select a benchmark partner similar to one's own constitution. This is because if the comparison is made with similar constitution information, the effects of exercise management and nutrition management are reflected as they are, and it is easy to compare.

  When a benchmark condition related to an arbitrary user U is input by the benchmark condition input unit 14, the partner search data extraction unit 15 stores all information related to the item indicated by the benchmark condition from the profile table storage unit 13 to all users ( (Including past users). Then, the partner search data extraction unit 15 creates a partner search table having a form as shown in FIG. 2 and writes it in the partner search table storage unit 16 as corresponding to the arbitrary user U. If the partner search table corresponding to the arbitrary user is already stored in the partner search table storage unit 16, the old partner search table is overwritten with the newly created partner search table.

  Now, in order to observe the pathology of diabetes, it is important to monitor the blood glucose level. For this reason, it is conceivable to use a blood glucose level monitor that monitors the blood glucose level as needed as the health care terminal 2. In the blood glucose level monitor, glucose contained in blood is noninvasively measured. The blood glucose level monitor always transfers the measured information to the center. The user U always carries a blood glucose level monitor and transfers blood glucose level information to the health management support apparatus 1. Or you may make it measure a blood glucose level regularly in a medical facility and send the information to the health management assistance apparatus 1 from the user terminal 3 or the medical facility terminal 4. FIG.

  The blood glucose level fluctuates as shown in FIG. Since it is common to use a resting blood sugar level medically, an approximate line of a resting value is obtained and the value A is monitored. In addition, the value B obtained by tracing the peak value after meal may be used, or the median value C between the A value and the B value may be used.

  In the health management support apparatus 1, when the blood sugar level information is sent as described above, the health care input unit 17 inputs this blood sugar level information as the health care information via the communication unit 11. The health care information is added to the health care table stored in the health care table storage unit 18 by the health care input unit 17. In this way, blood glucose level information of a large number of users is collected.

  The user U can access the health management support apparatus 1 from the user terminal 3 and refer to his / her health condition. When the health management support apparatus 1 receives an access from the user terminal 3 and is requested to refer to a health condition, the health management support apparatus 1 executes a process shown in FIG. In the process shown in FIG. 4, the user U who has made the above request becomes the target user.

  First, the request is received by the communication unit 11 and notified to the partner information extraction unit 19. Then, in step Sa1, the partner information extraction unit 19 refers to a partner search table corresponding to the target user, and selects another user whose profile matches the target user as a benchmark partner. Specifically, the partner information extraction unit 19 compares the 0 and 1 patterns described for other users in the partner search table with the 0 and 1 patterns described for the target user, and this is completely If they match, select another user as the benchmark partner. Thereby, all the values of the respective items included in the benchmark condition are selected as other benchmark users who belong to the same small item as the target user. Thereby, the benchmark partner whose characteristic is similar to the target user is selected.

  However, the number of benchmark partners selected as described above may be small as the number of samples for statistical analysis. Therefore, in step Sa2, the partner information extraction unit 19 confirms whether or not the number of benchmark partners selected in step Sa1 is equal to or greater than the specified number. The prescribed number is predetermined as a number necessary as the number of samples for statistical analysis.

If the number of benchmark partners is less than the prescribed number, the partner information extraction unit 19 proceeds from step Sa2 to step Sa3. In step Sa3, the partner information extraction unit 19 additionally selects a benchmark partner as follows. First, the partner information extraction unit 19 selects another user who matches 70% of the 0 and 1 patterns in the partner search table as a candidate user. The partner information extraction unit 19 obtains the sum of the values defined for the item “1” in the partner search table for each candidate user. For example, in the case of the user whose user ID is “U001” in FIG. 2, 0.20 + 0.10 + 0.20 + 0.15 + 0.00 + 0.00 + 0.00 + 0.00 = 0.65. Next, the partner information extraction unit 19 classifies the sum of the values obtained for each candidate user according to the classification criteria determined as shown in FIG. 5, for example. If the sum of Value is 0.65 as described above, it is regarded as level A. Then, the partner information extraction unit 19 additionally selects a candidate user whose level is the same as that of the target user as a benchmark partner.
Note that the method of selecting a benchmark partner described here is an example, and the benchmark partner may be selected according to an arbitrarily defined rule.

  When the additional benchmark partner has been selected, the partner information extraction unit 19 proceeds from step Sa3 to step Sa4. If the number of benchmark partners selected in step Sa1 is equal to or greater than the specified number, the partner information extraction unit 19 proceeds from step Sa2 to step Sa4.

  In step Sa4, the partner information extraction unit 19 reads all the health care data of the benchmark partner from the health care table storage unit 18. Next, in step Sa5, the partner information extraction unit 19 averages the read health care data. Since the health care data is time-series data, the partner information extraction unit 19 obtains an average value between values at the same time point. As a result, the partner information extraction unit 19 calculates one piece of information representing a change in blood glucose level over time with respect to the benchmark partner as shown in FIG.

  In step Sa6, the difference result determination unit 20 reads the health data of the target user from the health care table storage unit 18, and calculates a difference value between the blood glucose level of the target user and the blood glucose level of the benchmark partner. Specifically, this difference value is calculated as a value Q as shown in FIG.

  In step Sa7, the person result determination unit 21 reads the health data of the target user from the health care table storage unit 18, and calculates the annual effort level and the target effort level based on the temporal change of the blood glucose level of the target user. Specifically, as shown in FIG. 6, the annual effort is calculated as a blood glucose level change value P in the last year. Specifically, as shown in FIG. 6, the target effort level is calculated as a difference value R with respect to the target value of the blood glucose level at the evaluation point. The period for calculating the annual effort can be arbitrarily changed, for example, from the service start time to the current time.

  In step Sa8, the point calculation unit 22 weights the difference value calculated by the difference result determination unit 20, the annual effort level and the target effort level calculated by the principal result determination unit 21, according to the age of the target user. To do. Specifically, for example, with reference to the point calculation table stored in the point calculation table storage unit 23, the weighted points corresponding to the difference value, the value of the annual effort and the target effort, and the age of the target user are determined. Is done. FIG. 7 is a diagram showing an example of the point calculation table. The point calculation unit 22 sets the difference value, the annual effort level, and the target effort level as the value X, and weights the values described in the point calculation table for the category to which the value X belongs and the category to which the age of the target user belongs. The later value. For example, when the difference value is “10”, the corrected difference value is “20” if the age of the target user is 60 years or older, “14” if the user is 40 to 59 years old, “ 12 ”. In other words, when the blood glucose level is “10” lower than the benchmark partner, 20 points for target users over 60 years old, 14 points for target users 40 to 59 years old, and for target users under 39 years old Earn 12 points each. In this way, the difference value, the annual effort level, and the target effort level are weighted according to the characteristics of the target user. This weighting considers that the improvement level of the blood glucose level is different in constitution, and gives a lower point to a user of an older age group for a younger user who can expect a higher improvement level It is doing so. Therefore, weighting can be performed on the basis of information related to the degree of improvement other than age.

  Next, in step Sa9, the point calculation unit 22 calculates an evaluation point for the target user as the sum of the weighted difference value, the annual effort level, and the target effort level.

  In step Sa10, the presentation screen generation unit 24 generates presentation screen data. The presentation screen data is data for causing the user terminal 3 to display a presentation screen as shown in FIG. The presentation screen generation unit 24 displays the evaluation points calculated by the point calculation unit 22 on the presentation screen as “points of the current month: 200 points”, for example. In addition, the presentation screen generation unit 24 reads out the target user's health care data from the health care table storage unit 18, acquires the benchmark partner's health care data averaged by the partner information extraction unit 19, and changes these over time. A graph comparing the two is displayed on the presentation screen.

  In step Sa <b> 11, the presentation screen generation unit 24 transmits the presentation screen data generated as described above to the user terminal 3 used by the target user. Then, the user terminal 3 displays the presentation screen based on the presentation screen data. For example, if the presentation screen data is described in HTML (HyperText Markup Language), the user terminal 3 can display the presentation screen based on the presentation screen data by a general-purpose web browser function.

  Thus, the user can recognize the improvement degree of his / her health condition by comparing with the other person by checking the presentation screen displayed by the user terminal 3. In particular, since numerical evaluation points are presented, even if the user has no medical knowledge, it is possible to intuitively grasp the degree of improvement. Moreover, since the change with time of the health condition can be recognized from the graph, the progress of the improvement can be specifically confirmed. For this reason, it is possible to easily notify the user of the degree of improvement of the health condition, and thus it is possible to give the user an incentive for improving the health.

  Evaluation points can also be used for services such as discounts on life insurance premiums, cashbacks, or gifts according to points. By providing such a service, it is possible to give the user further incentives.

This embodiment can be variously modified as follows.
The benchmark condition may be stored without creating the partner search table, and the partner information extraction unit 19 may select the benchmark partner by directly referring to the user profile data stored in the profile table storage unit 13.

  As a benchmark partner, you may select a specific individual who started the same service at the same time. In this case, the individual's healthcare data is used as it is as benchmark partner data, and no averaging is performed.

  The evaluation point may be calculated based only on the difference value. In addition to the difference value, an evaluation point may be calculated in consideration of an annual effort level or a target effort level. Alternatively, in addition to the difference value, the evaluation points may be calculated in consideration of values other than the annual effort level and the target effort level.

  Presentation screen data representing only a graph may be generated without calculating an evaluation point. Instead of the graph, presentation screen data representing a change in the health condition in another form such as a table may be generated. Conversely, presentation screen data representing an evaluation point may be generated without representing a graph or a table.

  The difference value, the annual effort level, and the target effort level need not be weighted.

  Note that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of components disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment.

1 is a block diagram showing a configuration of a health management support apparatus 1 according to an embodiment of the present invention. The figure which shows an example of the other party search table memorize | stored in the other party search table memory | storage part 16 in FIG. The figure which shows the mode of a fluctuation | variation of a blood glucose level. The flowchart which shows the process sequence in the health management assistance apparatus 1. FIG. The figure which shows an example of the division | segmentation criteria for dividing the sum total of Value. The figure which shows a difference value, an annual effort, and a target effort. The figure which shows an example of the point calculation table memorize | stored in the point calculation table memory | storage part 23 in FIG. The figure which shows an example of a presentation screen.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Health care support apparatus, 2 ... Health care terminal, 3 ... User terminal, 4 ... Medical facility terminal, 5 ... Network, 11 ... Communication part, 12 ... User profile input part, 13 ... Profile table storage part, 14 ... Benchmark Condition input unit, 15 ... partner search data extraction unit, 16 ... partner search table storage unit, 17 ... health care input unit, 18 ... health care table storage unit, 19 ... partner information extraction unit, 20 ... difference result determination unit, 21 ... Principal result determination unit, 22 ... Point calculation unit, 23 ... Point calculation table storage unit, 24 ... Presentation screen generation unit.

Claims (3)

Profile storage means storing a plurality of profile data indicating characteristics including weight and age of a plurality of humans, and an index of human health status, and among blood glucose level, uric acid level and lactic acid level A plurality of healthcare data including at least one kind is stored in association with each of the plurality of persons, and a healthcare storage unit stores information indicating the date and time when each of the plurality of healthcare data was acquired. In an accessible health care support device,
Means for reading out the profile data stored in the profile storage means in association with management targets included in the plurality of persons;
Extracting means for extracting another profile data similar to the read profile data from the profile storage means;
At least one of the blood glucose level, the uric acid level, and the lactic acid level in the health care data associated with the management subject is read from the health care storage unit as first information, and the first Means for reading out information indicating the date and time when the information was acquired from the healthcare storage means;
Of the health care data associated with the same person as the profile data extracted by the extraction means , the same kind of the first information as the second information is used as the second information. Means for reading from the health care storage means and reading out information indicating the date and time when the second information was acquired, while reading from the storage means;
Based on the first information and information indicating the date and time when the first information was acquired, a graph representing a change with time of the first information, and the second information and the second information are acquired. And a display means for displaying a presentation screen for simultaneously presenting a graph representing a change with time of the second information based on the information indicating the date and time.   Among the information shown in the profile data, the determination means includes genetic information, constitution (SNPs), weight, age, regionality (environmental factor), food habits, exercise habits, blood glucose levels, It is characterized in that it is determined whether or not the two profile data are similar based on a similarity indicating a degree of similarity between at least two kinds of information of uric acid value and lactic acid value. The health management support apparatus according to claim 1. Profile storage means storing a plurality of profile data indicating characteristics including weight and age of a plurality of humans, and an index of human health status, and among blood glucose level, uric acid level and lactic acid level A plurality of healthcare data including at least one kind is stored in association with each of the plurality of persons, and a healthcare storage unit stores information indicating the date and time when each of the plurality of healthcare data was acquired. An accessible computer
Means for reading out the profile data stored in the profile storage means in association with management targets included in the plurality of persons;
Extracting means for extracting another profile data similar to the read profile data from the profile storage means;
At least one of the blood glucose level, the uric acid level, and the lactic acid level in the health care data associated with the management subject is read from the health care storage unit as first information, and the first Means for reading out information indicating the date and time when the information was acquired from the healthcare storage means;
Of the health care data associated with the same person as the profile data extracted by the extraction means , the same kind of the first information as the second information is used as the second information. Means for reading from the health care storage means and reading out information indicating the date and time when the second information was acquired, while reading from the storage means;
Based on the first information and information indicating the date and time when the first information was acquired, a graph representing a change with time of the first information, and the second information and the second information are acquired. A health management support program that functions as a display unit that displays a presentation screen that simultaneously presents a graph that represents a change with time of the second information based on the information indicating the date and time that has been displayed.

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