Health management method

Abstract

To improve a health management method.SOLUTION: A health management method (100) includes: a first step in which a non-invasive blood glucose measurement device (1) generates blood glucose curve data (50) and transmits the data to a subject terminal device (2); a second step in which the subject terminal device (2) transmits subject information (6) including the blood glucose curve data (50) to an administrator computer (3); and a third step in which the administrator computer (3) generates advice information (5) and transmits the advice information (5) to the subject terminal device (2), the advice information (5) including a result of determination as to whether a blood glucose spike is present.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a health management method, and more particularly to a health management method for monitoring blood glucose levels and providing dietary advice using a communication terminal of a user. [Background technology]

[0002] Blood glucose level is one of the most common physical data related to health. In a typical health checkup, fasting blood glucose level is measured as blood glucose level. If fasting blood glucose level exceeds 100 mg / dL, some kind of action is required. If fasting blood glucose level is between 110 mg / dL and 125 mg / dL, the patient is diagnosed as pre-diabetic (borderline). If fasting blood glucose level is 126 mg / dL or higher, the patient is diagnosed as having diabetes.

[0003] However, in recent years, attention has been focused on the bodily function of suppressing postprandial blood glucose elevation. As described in Non-Patent Documents 1 and 2, when a person eats a meal, appetite changes dramatically from hunger to satiety and fullness approximately 30 minutes after starting the meal, and eating behavior is initiated. After a meal, blood glucose levels rise, and glucose transferred to the blood is absorbed and metabolized by various organs. The body has the ability to maintain blood glucose levels at approximately 100 mg / dL. Blood glucose levels peak at 120 mg / dL to 150 mg / dL approximately 30 minutes after a meal and return to their original level approximately two hours later. In healthy individuals, postprandial blood glucose levels are generally below 150 mg / dL and do not exceed 180 mg / dL.

[0004] The rise in blood glucose after a meal is due to the carbohydrates contained in the food ingested. The glycemic index (GI) is used as an index to evaluate the difference in the blood glucose-raising function of ingested carbohydrates. In addition, the glycemic load (GL) (the product of GI and the carbohydrate content of the meal) is used as an index to evaluate the difference in the blood glucose-raising function of the entire meal. Non-Patent Document 2 shows the relationship between changes in postprandial blood glucose levels and GI using a carbohydrate curve.

[0005] However, as described in Non-Patent Document 3, people with prediabetes, lack of exercise, or reduced muscle mass experience a blood glucose spike phenomenon in which blood glucose levels temporarily rise to a high level exceeding 150 mg / dL after a meal and then drop. Blood glucose spikes are known to accelerate vascular aging and increase the risk of arteriosclerosis, myocardial infarction, and cerebral infarction. Non-Patent Document 3 proposes a method for checking blood glucose spikes using commercially available urine test strips and various dietary improvements to avoid blood glucose spikes. The various dietary habits proposed in Non-Patent Document 3 all prioritize low GI foods or low GL diets.

[0006] Furthermore, some views have been published that view the phenomenon of postprandial peak blood glucose levels as problematic. Non-Patent Document 4 states that mini-spikes, in which blood glucose levels rise and fall within a short period of time after a meal, are considered to be the root cause of lifestyle-related diseases, and recommends a diet that avoids refined carbohydrates, such as a brown rice vegetarian diet. The mini-spikes in question here refer to any blood glucose change in which a prominent peak appears on the blood glucose curve after a meal, even if the postprandial peak blood glucose level does not reach 150 mg / dL. In this specification, the term "blood glucose spike" is used in the broad sense to refer to the appearance of a prominent peak on the blood glucose curve after a meal, including such mini-spikes.

[0007] From the descriptions in Non-Patent Documents 1, 2, and 3, it can be said that it has gradually become recognized that a diet that avoids blood sugar spikes is desirable not only to prevent the onset of diabetes but also to prevent aging. However, blood sugar spikes are overlooked because fasting blood sugar levels are measured in general health checkups (Non-Patent Document 3). The checking method described in Non-Patent Document 3 can determine whether or not there is a time period when blood sugar levels reach 180 mg / dL or higher, but it does not measure postprandial blood sugar peaks, and therefore cannot obtain data corresponding to actual changes in postprandial blood sugar levels (blood sugar curve).

[0008] Meanwhile, health management systems have been proposed that acquire and analyze a subject's physical data, such as blood glucose levels, via the Internet and provide appropriate advice. For example, in the health management system described in Patent Document 1, a computer at a medical site acquires and analyzes blood glucose levels measured by the subject via the Internet, and automatically sends the subject a warning or advice message if the blood glucose level exceeds a threshold value for a predetermined number of days. Furthermore, Patent Document 2, for example, describes a health management system that displays a user's health condition so that it can be intuitively grasped, and describes transmitting and receiving measurement data such as the user's blood pressure, blood glucose level, weight, and physical activity level. This health management system can increase the user's motivation to take measurements and improve their health.

[0009] However, Patent Document 1 only exemplifies blood glucose levels immediately after waking up, before meals, and two hours after meals, while Patent Document 2 exemplifies only fasting blood glucose levels and blood glucose levels two hours after meals. Neither of the health management systems described in Patent Documents 1 or 2 takes into account changes in blood glucose levels in the short period after meals and is therefore unable to detect blood glucose spikes. As a result, these health management services are unable to provide subjects with advice or guidance that takes blood glucose spikes into consideration. Furthermore, these health management services do not allow subjects who strive to maintain a low GI / low GL diet to avoid blood glucose spikes to confirm the effects of their moderation through changes in postprandial blood glucose levels. As a result, subjects are dissatisfied with the services and find it difficult to maintain their motivation to continue improving their diet. [Prior art documents] [Non-patent literature]

[0010] [Non-Patent Document 1] "Experimental Medicine Special Edition: Nutrition, Metabolite Signaling and Food Functions", Yodosha, May 1, 2022, ISBN978-4-7581-0402-9, pages 119-120 [Non-patent document 2] "Registered Dietitian Course: Fundamentals of Human Nutrition [2nd Edition]" Published May 15, 2012, ISBN978-4-7679-0458-0 C3047, pages 114-115 [Non-patent document 3] "Anshin" April 2017 issue, released on March 2, 2017, Makino Publishing Co., Ltd., pages 67 to 74 [Non-patent document 4] "Cutting out Staple Foods Will Improve Your Diabetes! 2 Practical Edition New Edition" by Koji Ebe, Toyo Keizai Inc., published March 27, 2014, ISBN978-4-492-04526-8, Chapter 2 [Patent documents]

[0011] [Patent Document 1] Japanese Patent Application Laid-Open No. 2005-198790 [Patent Document 2] JP 2016-27460 A Summary of the Invention [Problem to be solved by the invention]

[0012] There is still no easy way for anyone to continuously monitor and measure their blood glucose levels shortly after a meal. Naturally, there are also currently no services that allow people to quickly receive advice on diet and lifestyle habits to avoid blood glucose spikes without having to visit a public health center or hospital. With existing health management services, it is difficult for people who are trying to avoid blood glucose spikes to maintain their motivation to measure and moderate their intake. At present, the knowledge that preventing blood glucose spikes is desirable for disease prevention, anti-aging, and beauty benefits is not being fully utilized in real life. [Means for solving the problem]

[0013] The present inventor sought a convenient health management service that takes blood glucose spikes into consideration. As a result, the inventor developed a new health management method that utilizes the Internet, a blood glucose sensor, a user terminal, and an instructor terminal to observe changes in a subject's postprandial blood glucose level and quickly analyze, advise, and provide guidance. Specifically, the present invention is as follows.

[0014] (Invention 1) A health management method (100) using a non-blood sampling type blood glucose level measuring device (1), a subject terminal device (2), and an administrator computer (3), which executes the following steps 1, 2, and 3 in this order. Step 1: The non-blood sampling type blood glucose level measuring device (1) measures and records the blood glucose level of the subject (20) at a predetermined time including two hours after the subject's meal, generates blood glucose curve data (50) for the predetermined time, and transmits the generated blood glucose curve data (50) to the subject terminal device (2). Step 2: The subject terminal device (2) transmits to the administrator computer (3) the blood glucose curve data (50) received in step 1, the subject information (6) including physical information (60) of the subject (20) including one or more selected from the height, weight, and results of the genetic test, and information (70) on the dietary intake of the subject (20). Step 3: The administrator computer (3) generates advice information (5) for the subject (20) based on the subject information (6) received in step 2, and transmits at least a part of the advice information (5) to the subject terminal device (2). The advice information (5) includes the result of determining whether or not there is a blood glucose spike. (Invention 2) It consists of n stages (n is an integer of 2 or more), and steps 1, 2, and 3 are repeatedly executed in this order at each stage, In each of the n stages, dietary information (70) is set so that nutritional conditions regarding foods and / or meals to be ingested in two selected stages from the n stages are different. Invention 1 health management method (100). (Invention 3) A health management method (100) according to invention 1, wherein the non-blood sampling type blood glucose level measuring device (1) is a patch type blood glucose level measuring device or a non-invasive blood glucose level measuring device. (Invention 4) The health management method (100) of invention 1, wherein the subject terminal device (2) and / or the administrator computer (3) are selected from a smartphone, a PC, and a tablet terminal. (Invention 5) In step 3, the health management method (100) of invention 1 compares a preset blood glucose threshold condition with blood glucose curve data (50) included in the subject information (6), and determines whether or not a blood glucose spike has occurred based on the comparison result. [Effects of the Invention]

[0015] By using the health management method of the present invention, many people can receive appropriate advice and guidance to avoid blood sugar spikes with little effort. [Brief explanation of the drawings]

[0016] [Figure 1] An example of a blood glucose curve shown in Health Management Method (100). [Figure 2] Another example of a blood glucose curve shown in the example of health management method (100). DETAILED DESCRIPTION OF THE INVENTION

[0017] [Health management method (100)] The health management method (100) of the present invention is a health management method using a blood glucose level measuring device (1) without blood sampling, a subject terminal device (2), and an administrator computer (3). The health management method (100) repeatedly executes steps 1, 2, and 3 described below in this order.

[0018] [Non-blood sampling blood glucose measuring device (1)] Non-blood sampling blood glucose measuring devices (1) are gaining attention as a means of measuring blood glucose levels without the painful process of puncturing blood, and are becoming increasingly popular. Examples of non-blood sampling blood glucose measuring devices (1) include patch-type blood glucose measuring devices and non-invasive blood glucose measuring devices.

[0019] In patch-type blood glucose monitoring, a patch with an ultra-fine sensor needle is attached under the skin of the subject's upper arm or abdomen, and the sensor needle is inserted under the skin to measure blood glucose levels from body fluids that adhere to the sensor needle. This type of measurement allows the subject to continue monitoring while bathing or sleeping without feeling any pain. A typical patch-type blood glucose monitoring device consists of a patch (sensor) and a reading device. The reading device may be a device (reader) with dedicated communication capabilities. Alternatively, the reading device may also function as a subject terminal device (2), in which case, for example, a smartphone (2) running a dedicated application for the measuring device can be used. The subject attaches the patch to their skin and scans the patch with the reader at appropriate times to obtain and record blood glucose levels. Measurements obtained by the reader can be managed via the cloud, and some products are available that allow data to be downloaded to the user's smartphone or other device.

[0020] Non-invasive blood glucose measurement methods utilize the property of glucose molecules to absorb light of specific wavelengths. This method measures the amount of glucose per deciliter (dL) by detecting the degree of absorption by glucose from the reflected light when light of a specific wavelength is irradiated onto the blood vessels from a device. Using this method, wristwatch-type (wearable) blood glucose monitors and touch-sensitive blood glucose monitors have been developed. As for wristwatch-type (wearable) blood glucose monitors, products that have added blood glucose measurement functionality to so-called smartwatches have become popular.

[0021] The non-blood sampling type blood glucose level measuring device (1) has a communication function. The non-blood sampling type blood glucose level measuring device (1) can transmit the measured and recorded blood glucose level to a smartphone, PC, tablet terminal, etc., using a communication function via Bluetooth (registered trademark) or the Internet, for example.

[0022] [Subject terminal equipment (2)] The subject terminal device (2) is a terminal device directly used by a subject using the health management method (100). The subject terminal device (2) is a terminal device such as a smartphone, PC, or tablet device that can communicate with the non-blood sampling blood glucose level measuring device (1) and the administrator computer (3). The subject terminal device (2) generally communicates with the non-blood sampling blood glucose level measuring device (1) using a short-range communication method such as Bluetooth (registered trademark), and with the administrator computer (3) via the Internet.

[0023] A plurality of subject terminal devices 2 may be used. In this case, it is preferable that an application supporting the health management method 100 is executed on all of the subject terminal devices 2, so that the subject information 6 (described below) can be displayed on any of the subject terminal devices 2.

[0024] [Administrator Computer (3)] The administrator computer (3) is a terminal device directly used by a business that provides advice to the subject. The business that provides advice to the subject may be, for example, a provider or administrator of an application that supports the health management method (100), a specialist such as a nutritionist or doctor involved in the health management method (100), or a business that provides advice to the subject using the opinions of these specialists.

[0025] The administrator computer (3) is a terminal device such as a smartphone, PC, or tablet terminal that can communicate with the subject terminal device (2). The administrator computer (3) generally communicates with the subject terminal device (2) via the Internet. An application and database that support the health management method (100) may be stored on a cloud server located on the Internet, and the application may automatically transmit and receive data between the subject terminal device (2) and the administrator computer (3).

[0026] [Process 1] In step 1 of the health management method (100), a non-blood sampling type blood glucose level measuring device (1) measures and records the blood glucose level of the subject (20) at a predetermined time including two hours after the subject's meal, generates blood glucose curve data (50) for the predetermined time, and transmits the generated blood glucose curve data (50) to a subject terminal device (2).

[0027] When the subject 20 uses a patch-type blood glucose measuring device 1 as the non-blood sampling type blood glucose measuring device 1, the blood glucose measurement data is recorded at predetermined time intervals. The measurement data may be stored in the memory of the reading device or in a database on the Internet.

[0028] When a subject (20) uses a patch-type blood glucose level measuring device (1) as a non-blood sampling type blood glucose level measuring device (1), the reader scans the patch at predetermined time intervals and records the blood glucose level measurement data in the reader. For example, the reader generates blood glucose curve data (50) based on the scanned data and displays the blood glucose curve on the reader's display screen. After the subject (20) confirms that the blood glucose curve for the scheduled time period has been obtained, the reader transmits the blood glucose curve data (50) to the subject terminal device (2).

[0029] Alternatively, for example, the subject (20) can set the smartwatch-type blood glucose level measuring device (1) to measure blood glucose levels periodically, for example, every 30 minutes, and transmit the measurement values. In this case, the smartwatch-type blood glucose level measuring device (1) periodically transmits blood glucose curve data (50) to the subject's (20) smartphone (2), and the smartphone (2) can display a blood glucose curve from the accumulated blood glucose curve data (50). The subject (20) can check the blood glucose curve based on the blood glucose curve data (50) on the smartphone (2).

[0030] When the data acquired by the blood glucose measuring device (1) is uploaded to a database on a server on the Internet using the cloud system, the blood glucose curve data (50) is transmitted via the cloud to the subject terminal device (2). In this case, the subject (2) can download the blood glucose curve data (50) to the subject terminal device (2) at a predetermined timing.

[0031] Generally, the blood glucose curve data (50) is a group of blood glucose levels measured periodically over the past 24 hours, or data for displaying a blood glucose curve generated from the group of blood glucose levels, or image data of a blood glucose curve generated from the group of blood glucose levels, etc. Generally, the subject (20) eats three meals in the 24 hours: breakfast, lunch, and dinner, and the 24 hours include the time period from immediately before each meal to two hours after each meal.

[0032] The non-blood sampling type blood glucose measuring device 1 can create a transmission history of the blood glucose curve data 50. In this case, the subject 20 can check the transmission status by referring to the history of the non-blood sampling type blood glucose measuring device 1.

[0033] [Process 2] In the health management method (100), step 2 is performed after step 1. In step 2, the subject terminal device (2) transmits to the administrator computer (3) the blood glucose curve data (50) received in step 1, and subject information (6) including physical information (60) of the subject (20) including one or more selected from height, weight, and genetic test results, and information (70) on meals taken by the subject (20).

[0034] In step 2, the administrator computer (3) acquires blood glucose curve data (50) in the form of a group of blood glucose levels measured periodically over the past 24 hours, or data for displaying a blood glucose curve generated from the group of blood glucose levels, or image data of a blood glucose curve generated from the group of blood glucose levels.

[0035] The results of genetic testing that may be included in the physical information (60) include, for example, the degree of risk of various diseases, body shape trends, and body size trends determined from genetic information that contributes to obesity, body type, and physique.

[0036] The physical information 60 may include the subject's gender, age, physical activity level (low, normal, high), and stress level (high, low, very little, etc.). It may also include general health checkup results, including blood component measurements, and body fat percentage, body water content, and sleep time measured using a body composition analyzer. The physical information 60 may include personal information previously registered by the subject 20, or the personal information may be added to the physical information 60. The personal information may include the subject's name, identification number (account name), address, occupation or physical activity level, and payment information for services. In step 2, the subject 20 may also change their personal information. For example, the subject 20 may change their address and send the subject information 6, including new address information, from the subject terminal device 2. For example, the subject 20 may change their physical activity level and send it from the subject terminal device 2.

[0037] In addition, in order to change the previously registered personal information, the subject (20) can send the information to be updated from the subject terminal device (2) to the administrator computer (3) at any time, separate from steps 1 and 2 and step 3 described below. The meal information (70) includes information regarding the content and time of each meal. The meal information (70) is selected according to the subject and is not limited as long as it reflects or regulates the nutritional requirements of the food and / or diet consumed by the subject. The meal information (70) generally includes the start time of each meal, the name and weight of the ingredients consumed at each meal, the weight of each of the three major nutrients (protein, fat, and carbohydrate) contained in each meal, the amount of energy (calories) consumed at each meal, etc. The meal information (70) can also include the weight of vitamins and minerals contained in each meal, the dietary fiber content of each meal, etc.

[0038] For example, step 2 can be executed by having the administrator computer (3) download data acquired by the blood glucose measuring device (1) according to input from the subject information (6). In this case, the administrator (advisor) can extract the subject information (6) linked to the relevant test subject (20) from the various subject information (6) accumulated from time to time and display it on the display device of the administrator computer (3). The extraction can be performed using an identification code (number, account name, etc.) assigned to each piece of subject information (6).

[0039] Also, for example, the subject information (6) can be sent directly from the smartphone (2) of the test subject (20) to the smartphone (3) of the administrator (advisor).

[0040] In addition, an application that manages the reading, recording, updating, and display of measurement values ​​from the non-blood sampling blood glucose measuring device (1) can be executed to transmit and receive data between smartphone (2) and smartphone (3). In this case, a data center that manages and edits various information about the subject (20) can be placed on the cloud. In this case, smartphone (2) and smartphone (3) can each extract, download, upload, display, and transmit subject information (6) in an appropriate format.

[0041] [Process 3] In the health management method (100), step 3 is performed after step 2. In step 3, the administrator computer (3) generates advice information (5) for the subject (20) based on the subject information (6) received in step 2, and transmits at least a part of the advice information (5) to the subject terminal device (2). The advice information (5) includes the result of determining whether or not there is a blood glucose spike.

[0042] The presence or absence of a blood glucose spike can be determined by an application supporting the health management method (100) comparing a preset blood glucose threshold condition with the blood glucose curve data (50) included in the subject information (6). Alternatively, an expert participating in the health management method (100) can make the determination by comparing a preset blood glucose threshold with the blood glucose curve data (50) included in the subject information (6). In this case, the expert may directly input the determination result into the administrator computer (3), or the expert may transmit the determination result to the administrator computer (3) from a terminal device separate from the administrator computer (3).

[0043] A specific blood glucose level can be set as the blood glucose threshold condition. If the health management method (100) focuses on diabetes risk, the blood glucose threshold can be set to 150 mg / dL in step 3. For example, if a measurement value exceeding the threshold of 150 mg / dL is extracted from the blood glucose curve data (50) in step 3, it is determined that a blood glucose spike has occurred, and advice information (5) for reducing the risk of diabetes is generated. If no measurement value exceeding the threshold of 150 mg / dL is extracted from the blood glucose curve data (50) in step 3, it is determined that a blood glucose spike has not occurred, and advice information (5) is generated to inform the test subject (20) that their current dietary habits are contributing to reducing the risk of diabetes.

[0044] The blood glucose threshold condition can also be set to the difference between the pre-meal blood glucose level and the maximum post-meal blood glucose level during the measurement period. If the health management method (100) focuses on vascular aging or lifestyle-related diseases, the presence or absence of a mini-spike, which is proposed as a blood glucose spike in a broad sense, can be determined in step 3. In this case, the blood glucose threshold condition can be set in advance to a difference between the pre-meal blood glucose level and the maximum post-meal blood glucose level of 30 mg / dL.

[0045] In this case, in step 3, the preprandial blood glucose value during the measurement period (e.g., the blood glucose value measured immediately before the meal time included in the meal information (70)) and the postprandial peak blood glucose value during the measurement period (e.g., the blood glucose value measured closest to 45 minutes after the meal time included in the meal information (70)) are extracted from the blood glucose curve data (50), and the difference between the two is compared with the threshold value of 30 mg / dL. It is said that in the typical lifestyle of a healthy person, the postprandial blood glucose peak occurs 30 minutes to 1 hour after a meal. If the test subject (2) has a long mealtime, or if the test subject (20) has been instructed to extend mealtimes or eat in an appropriate order, there is a possibility that the postprandial peak blood glucose value will occur even longer after the start of the meal. The measurement interval is adjusted accordingly so that the postprandial peak blood glucose value can be reliably detected by the non-blood glucose meter (1) in step 1. The postprandial peak blood glucose value refers to the highest blood glucose value measured between one meal and the next.

[0046] If the difference between the measured values ​​(20) exceeds 30 mg / dL, it is determined in step 3 that there is a blood glucose spike (in the narrow sense), and advice information (5) for mitigating blood glucose fluctuations is generated. If the difference between the two is within 30 mg / dL, it is determined in step 3 that there is no blood glucose spike (in the narrow sense), and advice information (5) is generated that can inform the test subject (20) that their current dietary habits are contributing to reducing the risk of vascular aging.

[0047] Step 3 may include message information suggesting a more appropriate dietary lifestyle to the subject 20 by generally referring to the presence or absence of a blood glucose spike, the subject 20's physical information 60, and the subject 20's dietary information 70. For example, an application supporting the health management method 100 may quantify and sum up the contribution of each piece of information constituting the physical information 60 and dietary information 70 to the occurrence of a blood glucose spike, and extract more appropriate food and / or dietary patterns according to a predetermined algorithm. Furthermore, for example, if a blood glucose spike is determined to have occurred in step 3, the application supporting the health management method 100 may transmit the physical information 60 and dietary information 70 to a terminal device of a specialist such as a nutritionist or doctor, or to an internet site managed, operated, or authorized by the specialist, and have the specialist create an advice message for the subject 20.

[0048] Generally, if a blood glucose spike is determined to occur in step 3, the advisory information (5) includes a message recommending foods or meals with a low glycemic index (GI) and / or glycemic load (GL) to the subject (20). Generally, if a blood glucose spike is determined not to occur in step 3, the advisory information (5) includes a message informing the subject (20) that the meal they have just eaten is suitable for them.

[0049] The advice information (5) includes data for displaying the following message on the subject terminal device (2), for example:

[0050] "Blood sugar spike detected. Try vinegar and almonds before lunch." "The tendency for blood sugar spikes has eased. Let's continue like this tomorrow. cormorant."

[0051] By quickly performing step 3 following step 2, the subject can inquire about the advice information (5) on the subject terminal device (2) every day or after each meal. Each time the subject (20) inquires, he or she can accurately find out whether or not his or her current dietary habits will cause a blood sugar spike, and whether or not his or her current dietary habits are contributing to the avoidance of blood sugar spikes.

[0052] Such near-real-time blood glucose spike checks have not been provided in conventional health management systems. The subject (20) can check for blood glucose spikes simply by continuing to measure their blood glucose levels and improve their food and diet with the advice of an expert. In step 3, a system may be provided in which the subject (20) can provide feedback on questions regarding the advice information (5).

[0053] In step 3, the determination of the presence or absence of a blood glucose spike and the generation of advice information (5) can be performed by a program or by using an AI-based automatic text, voice, and image generation function. In this case, the subject information (6) is mechanically and automatically analyzed, and advice information (5) customized for the test subject (20) is generated based on the subject information (6) and the determination results.

[0054] In determining whether or not a blood sugar spike has occurred and generating advice information (5) in step 3, an advisor (human) involved in the health management method (100) can input the results of the determination and the advice content to the administrator computer (3) in the form of text, voice, image, etc. In this case, the administrator computer (3) generates advice information (5) in the form of text, voice, image, etc. based on the input data.

[0055] In step 3, the administrator computer (3) can update the pre-registered personal information of the test subject (20) based on the acquired test subject information (6). Apart from steps 1, 2, and 3, if new personal information is received from the test subject terminal device (2) at any time, the pre-registered personal information can be updated with the new personal information.

[0056] [N-step health management method (100)] In an actual health management method 100, it takes a relatively long time for the subject 20 to be able to implement a diet that helps avoid blood sugar spikes after starting blood sugar measurement. In many cases, the subject 20 needs to implement the health management method 100 for at least one week or more, and generally for several weeks, which can easily reduce motivation.

[0057] To maintain the motivation of the test subject (20), the health management method (100) is preferably performed in multiple stages. Specifically, the health management method (100) preferably comprises n stages (n is an integer greater than or equal to 2), with steps 1, 2, and 3 being repeatedly performed in this order at each stage. For each of the n stages, dietary information (70) is set so that the nutritional conditions for the foods and / or meals consumed in two selected stages from the n stages are different. In this case, the nutritional conditions are preset before the start of a certain stage (n), and the nutritional conditions are transmitted to the subject terminal device (2) as part of the dietary information (70) before the start of step 1 of that stage. Then, step 1 is performed for a period in accordance with the nutritional conditions. In the subsequent step 2, for example, dietary information (70) including the preset nutritional conditions as well as a record of the foods and meals actually consumed by the test subject (20) is transmitted from the subject terminal device (2) to the administrator computer (3).

[0058] The nutritional condition index is typically the daily energy intake (kcal). Alternatively, the daily energy intake (kcal) may be set to the same value for both stages, with the actual food intake or dietary restrictions varied. For example, the daily energy intake may be set to the same value for the (n-1)th stage and the nth stage, but the food and dietary options available may be different for the (n-1)th stage and the nth stage. In this case, for example, the daily energy intake may be set to the same value for the (n-1)th stage and the nth stage. In the (n-1)th stage, the subject (20) may select foods from a pre-specified food group within the energy intake range. In the nth stage, the subject (20) may be allowed to eat so-called snacks, junk food, fast food (foods with high fat and carbohydrate content), particularly favorite foods, or eat out, within the energy intake range. This reduces the stress of the subject (20) and maintains their motivation.

[0059] At each stage, the subject (20) ingests foods and / or meals according to the set dietary information (70) and measures their blood glucose level. Typically, at the (n-1)th stage, the subject (20) eats a meal using ingredients that match the set dietary information (70) every day. In this case, for example, in step 1, the reader of the patch-type blood glucose measuring device (1) transmits the subject's (20) blood glucose curve data (50) for the past 24 hours to a smartphone (2), and the subject (20) can check the blood glucose curve displayed on the smartphone (2) for the past 24 hours. In this case, in the next step 2, the smartphone (2) can transmit the blood glucose curve data (50), dietary information (70), and physical information (60) including height, weight, body fat percentage, etc. to the administrator computer (3). At this time, the dietary information (70) can be supplemented with the subject's (20) actual diet record for the past 24 hours. Then, in step 3, the administrator computer (3) generates advice information (5) including the results of determining whether or not there is a blood glucose spike, and can send it to the smartphone (2). The subject (20) can view and read the advice message on the smartphone (2). In the (n-1)th stage, steps 1, 2, and 3 are repeated periodically at each stage, for example, every day or every three days.

[0060] After the number of days allocated to the (n-1)th stage has passed, the subject (20) typically moves on to the next stage, n. In the nth stage, steps 1, 2, and 3 described above are repeated daily under different nutritional conditions than in the (n-1)th stage.

[0061] It is also possible to provide a preparatory stage prior to the first stage in which no blood glucose measurement is performed, or an intermediate stage in which the subject (20) can relatively freely select foods and meals.

[0062] By carrying out the health management method (100) in such n stages (n is an integer equal to or greater than 2), the subject (20) can repeatedly check for blood sugar spikes, receive advice, and improve their diet while consuming a variety of foods and meals.

[0063] Through this health management method (100) consisting of n steps (n is an integer greater than or equal to 2), it is possible to identify foods and their amounts that, for example, will cause a high probability of blood sugar spikes if included in a basic meal and consumed all at once, but that will reduce the tendency for blood sugar spikes if consumed in a controlled order. For example, it may be discovered that eating 20g of white rice planned for dinner early (e.g., 5 to 15 minutes before dinner, before starting a main meal) can reduce the tendency for blood sugar spikes after dinner. Also, alternating between high-carbohydrate and low-carbohydrate dishes when eating out can also reduce the tendency for postprandial blood sugar spikes. Such foods, which are consumed in a stepwise manner to reduce the tendency for postprandial blood sugar spikes, and the way in which they are consumed are sometimes called "step foods." The health management method (100) consisting of n steps (n is an integer greater than or equal to 2), has the advantage of making it easy to identify step foods.

[0064] [effect] The health management method 100 of the present invention allows the subject 20 to check the blood glucose curve obtained for each meal and quickly receive evaluation and advice regarding blood glucose spikes. The health management method 100 provides information that is intuitively easy to understand for the subject 20 who wants to avoid blood glucose spikes, thereby providing a service that is highly satisfying to the subject 20. [Example]

[0065] A five-stage health management method (100) was implemented for the subject (20). As shown in Table 1, before the start of each stage, the subject's daily energy intake (calorie value) and the foods they could consume (including those they could choose freely) were set as dietary information (70). The subject (20) used a smartphone (2) to send and receive data to the advisor's computer (3).

[0066] The food energy intake and duration (number of days) of each stage used in this example are based on the assumption that the test subjects (20) are Japanese. For test subjects of races with different glucose metabolism characteristics, such as insulin response, from Japanese people, such as Caucasians (Westerners), the conditions of each stage can be adjusted as needed.

[0067] The first stage was a preparation stage. In the second stage, subjects ate their normal meals, provided that their daily energy intake did not exceed the set daily calorie intake. From the second stage, blood glucose levels began to be measured using a patch-type blood glucose monitor. The second stage, where a strong spike in blood glucose levels was expected, was positioned as the control stage. Steps 1, 2, and 3 were performed once daily in this order. From the subject information (6) accumulated up to the second stage, 20 g of cooked rice (white rice) was selected as a candidate step food. In the third stage, subjects (20) ingested 20 g of cooked rice (white rice) as a step food when they felt hungry (before or during a regular meal). Steps 1, 2, and 3 were repeated every day in the third stage as well.

[0068] In the fourth stage, steps 1, 2, and 3 were repeated without the step meal, and changes in the tendency for blood sugar spikes were observed. In the fourth stage, the tendency for blood sugar spikes decreased. Therefore, in the fifth stage, the subjects ate freely as long as it did not exceed the set daily energy intake. The dietary information (70) was set to allow for general intake, including fast food and snacks. In the fifth stage, steps 1, 2, and 3 were repeated every day.

[0069] [Table 1]

[0070] Table 2 shows part of the subject information (6) sent from the smartphone (2) of the subject (20) to the administrator computer (3) for the first day of the second stage.

[0071] [Table 2]

[0072] The subject information (6) includes blood glucose curve data (50) shown in Figure 1. The dotted line in Figure 1 indicates the blood glucose level of 150 mg / dL. The arrow in Figure 1 indicates the start of the meal. The blood glucose curve in Figure 1 shows that a typical blood glucose spike occurred after lunch on the first day of the second phase.

[0073] In practice, in steps 1 and 2, both the information listed in Table 2 and the graph in Figure 1 are displayed on the smartphone (2). On the first day of the second stage, in step 3, the smartphone (2) of the subject (20) received an advice message saying, "Blood sugar spikes were detected after lunch and dinner. Please include vegetables from tomorrow onwards." The next day, the subject included spinach in his lunch and dinner meals.

[0074] After that, the subject (20) continued to check the messages based on the advice information (50) on his smartphone (2) every day and proceeded to the second, third, fourth and fifth stages while paying attention to his diet.

[0075] On the second day of the fifth stage, the subject (20) chose his favorite cheese as one of his energy sources for breakfast. In the evening, the subject (20) ate out at a yakiniku restaurant. The actual amount of energy consumed on the second day of the fifth stage did not exceed the preset value (1150 kcal).

[0076] Table 3 shows part of the subject information (6) sent from the subject's (20) smartphone (2) to the administrator's computer (3) for the second day of the fifth stage. The arrow in Figure 2 indicates the start of the meal. The subject information (6) includes the blood glucose curve data (50) shown in Figure 2. In practice, both the information listed in Table 3 and the graph in Figure 2 are displayed on the smartphone (2) during steps 1 and 2.

[0077] [Table 3]

[0078] A comparison of Figures 1 and 2 reveals that the tendency for blood sugar spikes was reduced at the fifth stage. The blood sugar curve shown in Figure 2 shows that there were almost no periods during which blood sugar levels exceeded 150 mg / dL. The postprandial blood sugar curve in Figure 1 exhibits a steep peak, whereas in Figure 2 it exhibits a relatively gradual change. In this example of health management method (100), it can be said that the subject (20) was able to incorporate his favorite foods and eat out into his diet, leading to a reduced tendency for blood sugar spikes.

[0079] In this example, the number of days for each stage is not so long, allowing the test subject (20) to complete each stage reliably and feel a sense of accomplishment when moving on to the next stage. Therefore, the test subject (20) in this example is highly satisfied. [Industrial Applicability]

[0080] The health management method 100 of the present invention makes it easy to check blood sugar spikes and continuously evaluate and improve lifestyle habits. Subjects who use the health management method 100 are less likely to lose motivation to measure blood sugar levels and to moderate their diet.

[0081] The present invention can provide highly convenient services to the beauty industry, health industry, and medical industry.

Claims

1. A health management method (100) using a blood-free blood glucose measuring device (1), a subject terminal device (2), and an administrator computer (3) to execute the following steps 1, 2, and 3 in this order. Step 1: A non-blood sampling type blood glucose level measuring device (1) measures and records the blood glucose level of the subject (20) at a predetermined time including two hours after the subject's meal, generates blood glucose curve data (50) for the predetermined time, and transmits the generated blood glucose curve data (50) to a subject terminal device (2). Step 2: The subject terminal device (2) transmits to the administrator computer (3) the blood glucose curve data (50) received in step 1, the subject information (6) including physical information (60) of the subject (20) including one or more selected from height, weight, and genetic test results, and information (70) on the meals taken by the subject (20). Step 3: The administrator computer (3) generates advice information (5) for the subject (20) based on the subject information (6) received in step 2, and transmits at least a part of the advice information (5) to the subject terminal device (2), where the advice information (5) includes the result of determining whether or not there is a blood glucose spike.

2. It consists of n stages (n is an integer of 2 or more), and steps 1, 2, and 3 are repeatedly executed in this order at each stage, In each of the n stages, dietary information (70) is set so that nutritional conditions related to foods and / or meals to be ingested in two selected stages from the n stages are different. The health management method (100) of claim 1.

3. 2. The health management method (100) according to claim 1, wherein the non-blood sampling type blood glucose level measuring device (1) is a patch type blood glucose level measuring device or a non-invasive blood glucose level measuring device.

4. The health management method (100) according to claim 1, wherein the subject terminal device (2) and / or the administrator computer (3) are selected from a smartphone, a PC, and a tablet terminal.

5. 2. The health management method (100) according to claim 1, wherein in step 3, a predetermined blood glucose threshold condition is compared with blood glucose curve data (50) included in the subject information (6), and the presence or absence of a blood glucose spike is determined based on the comparison result.

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