A method and system for diabetes health management

Abstract

The application relates to a method for testing food / movement blood sugar tolerance of individuals, belonging to the technical field of software management in the health management industry; in the prior art, guidance for dietary intervention of diabetes patients is relatively weak; the method provided by the application can enable diabetes patients to obtain individual food / movement tolerance values through testing, and better guide health management of diabetes.

Description

Technical Field

[0001] This invention belongs to the field of health management technology, specifically relating to a method and system for diabetes health management. Background Technology

[0002] Currently, the rationality of medication, diet, and exercise for blood glucose management can only be judged by the patient themselves. There is no AI data analysis or graphical display reference, and there are no specific safe intake amounts, so it is impossible to correct the user's wrong behavior.

[0003] Regarding the tolerance of diabetic patients to food glucose, only general GI (glycemic index) and GL (glycemic load) values ​​are available, ignoring the specificity of cooking methods and individual diet and exercise. Combined with the differences in individual pancreatic function and insulin sensitivity, the guidance for dietary and exercise interventions for diabetic patients is relatively weak. Summary of the Invention

[0004] In view of the problems existing in the prior art, the present invention proposes a method for diabetes health management, characterized in that the method includes the following steps:

[0005] The absorption test meal consists of a basic daily diet plus a certain food item. The test meals are taken at the same time every two days, but the amount of the certain food item varies.

[0006] By installing a dynamic blood glucose monitoring probe and an APP, blood glucose data points are automatically transmitted to the software backend in real time and a curve is plotted. The basic meal and a specific food can be selected through the APP.

[0007] The software automatically captures the blood glucose curve within 2 hours after a meal, calculates whether the difference between the peak blood glucose level within 2 hours after a meal and the pre-meal blood glucose level is less than 2.2 mmol / L, and whether the blood glucose level within 2 hours after a meal is less than 1.1 times the pre-meal fasting blood glucose level. It then uses a proprietary algorithm to measure the tolerance of the test food.

[0008] The proprietary algorithm is as follows: if both conclusions regarding food tolerance are greater than or equal to B, then the food tolerance is greater than or equal to B; if both conclusions regarding food tolerance are less than or equal to A, then the food tolerance is less than or equal to A; if the two conclusions regarding food tolerance contradict each other, an error is reported; if the calculated food tolerance is between A and B, the tolerance is calculated as ((Area of ​​B + Area of ​​A) * 0.5 / Area of ​​A - 1) * (A + B grams) + A grams.

[0009] Where A is the amount of a certain food in test meal A, B is the amount of a certain food in test meal B, and B is greater than A; the area of ​​A is the area between the blood glucose curve of the test subject after consuming test meal A and the time axis, and the area of ​​B is the area between the blood glucose curve of the test subject after consuming test meal B and the time axis.

[0010] Furthermore, the energy intake of the test meal was in the range of 800-3000 kcal.

[0011] Furthermore, the test meal includes one or more of the following: staple food, vegetables, fruits, and snacks.

[0012] Furthermore, in step S1, the calorie consumption is basically the same every two days, and the calorie consumption can be obtained through a fitness app.

[0013] This invention also discloses a method for diabetes health management, characterized in that the method includes the following steps:

[0014] Every two days, a fixed test meal is consumed, and exercise is performed at a fixed time after each meal. The exercise is as follows: the amount of exercise on the first day is A, and the amount of exercise on the second day is B.

[0015] By installing a dynamic blood glucose monitoring probe and an APP, blood glucose data points are automatically transmitted to the software backend in real time and a curve is plotted. The amount of exercise and exercise time are recorded through the APP.

[0016] The software automatically captures the blood glucose curve within 2 hours after a meal, calculates whether the difference between the peak blood glucose level within 2 hours after a meal and the pre-meal blood glucose level is less than 2.2 mmol / L, and whether the blood glucose level within 2 hours after a meal is less than 1.1 times the pre-meal fasting blood glucose level. The software obtains the above two judgment results and uses a proprietary algorithm to measure the tolerance of the test exercise.

[0017] The proprietary algorithm is as follows: if both results of exercise tolerance are greater than or equal to B, then the exercise tolerance is greater than or equal to B; if both results of exercise tolerance are less than or equal to A, then the exercise tolerance is less than or equal to A; if the two results of exercise tolerance are contradictory, an error is reported; for exercise tolerance calculated between A and B, the tolerance is ((Area of ​​B + Area of ​​A) * 0.5 / Area of ​​A - 1) * (Area of ​​B and Exercise Tolerance) + Exercise Tolerance of A.

[0018] Where A represents the first type of exercise intensity, B represents the second type of exercise intensity, and B is greater than A; the area of ​​A is the area between the blood glucose curve and the time axis after the test subject completes the first type of exercise intensity, and the area of ​​B is the area between the blood glucose curve and the time axis after the test subject completes the second type of exercise intensity.

[0019] Compared with existing technical solutions, the present invention has at least the following beneficial effects:

[0020] (1) This invention allows diabetic patients to obtain personalized food and exercise tolerance values, reduce blood sugar abnormalities caused by incorrect food intake, and reduce the harmful effects of inappropriate exercise on blood sugar; reduce complications; reduce medical burden; and extend healthy life expectancy.

[0021] (2) It helps to maintain a stronger sense of cycle when managing diabetic patients, forming a service loop of 15 days, which helps patients improve their health awareness and optimize their self-management ability. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating the diabetes health management method implemented according to the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0024] To achieve the above objectives, according to one aspect of the present invention, a method and system for diabetes health management are proposed. The present invention applies the principle of the influence of food on blood sugar, and obtains quantitative data on food tolerance by plotting blood sugar data and curves, and by comparing blood sugar curves and values ​​with different intakes of the same test food based on a set basic meal.

[0025] This invention first proposes a method for diabetes health management, such as... Figure 1 The diagram shows a flowchart for obtaining quantitative values ​​of personalized test food glycemic tolerance according to the method of this invention, which mainly includes the following steps:

[0026] Before and after consuming personalized test meal A and personalized test meal B, the difference between the peak blood glucose level 2 hours after the test meal and the fasting blood glucose level is compared to see if it is less than 2.2 mmol / L and whether the blood glucose level recovers to within 1.1 times the fasting blood glucose level 2 hours after the meal. Then, the personalized safe intake value is calculated according to the pre-set algorithm. The blood glucose data in this invention is obtained through a blood glucose collection device.

[0027] Example 1

[0028] This implementation method collects blood glucose data every 3 minutes for 15 consecutive days, performing 24-hour continuous blood glucose monitoring. The evaluation criteria are: whether the difference between the peak blood glucose level 2 hours after a meal and the fasting blood glucose level is less than 2.2 mmol / L, and whether the blood glucose level 2 hours after a meal recovers to within 1.1 times the fasting blood glucose level. Other influencing factors (medication, exercise, etc.) are fixed. Different amounts of test meals are consumed on the basis of the basic meal. Based on the difference in the height and area of ​​the postprandial blood glucose curve over 2 days, a proprietary algorithm is used to calculate the safe tolerance range of the test subject for the food.

[0029] The specific algorithm is as follows:

[0030] Assume that test meal A is a small quantity of a certain food, and test meal B is a large quantity of a certain food. First, determine the fluctuation range: whether the difference between the peak blood glucose level 2 hours after the meal and the pre-meal blood glucose level is less than 2.2 mmol / L. In this case, there are four possible scenarios X. Next, determine the recovery status: if the blood glucose level 2 hours after the meal is less than 1.1 times the pre-meal fasting blood glucose level, there are also four possible scenarios Y. The corresponding algorithm results are shown in Table 1 below. Among them, 16 combinations of the conditions in Table 1 are obtained, as shown in Table 2.

[0031] Table 1 shows the criteria for determining whether the fasting blood glucose results from the two test meals meet the judgment criteria.

[0032]

[0033] Table 2 shows the conclusions of obtaining tolerance quantification data by combining the four scenarios in Table 1 in pairs.

[0034]

[0035] According to the proprietary algorithm of this invention: for the specific value of the food tolerance between A and B, the algorithm is ((Area of ​​B + Area of ​​A) * 0.5 / Area of ​​A - 1) * (Ag of B) + Ag.

[0036] ERROR is based on the fact that, given the same quantity of other food types, the post-meal blood glucose rise in test A (small quantity) is greater than that in test B (large quantity), which is illogical and may be due to other interferences. Specific data cannot be provided.

[0037] The diabetes health management method implemented according to this invention allows diabetic patients to obtain their personalized food tolerance values ​​through testing, reducing blood sugar abnormalities caused by incorrect food intake; decreasing complications; reducing medical burden; and extending healthy life expectancy. It enables primary healthcare institutions to manage the diabetic population more thoroughly and continuously, forming a 15-day service loop that helps patients improve their health awareness and optimize their self-management abilities.

[0038] Testers can install a continuous glucose monitoring probe and an app to automatically transmit blood glucose data points every 3 minutes to the software backend and plot a curve. By entering a basic meal and a test meal into the app, the software automatically captures the blood glucose curve within 2 hours after the meal and uses a proprietary algorithm to calculate the tolerance of the test food.

[0039] The principle for arranging test meals is to select a specific food from the basic meals of daily diet for testing. The test meals are taken at the same time every two days, but the quantities are different.

[0040] The purpose of testing meal boxes is to discover individualized food tolerance and identify daily dietary risk factors.

[0041] Procedure: Recommended energy intake is within the range of 800-3000kcal, adjusted according to your usual dietary habits in terms of type and quantity. For two consecutive days, maintain the same food types and quantities, differing only in the quantity of a specific test food at one meal (set within the range of GL20 to ensure a safe glycemic load).

[0042] Participants select the foods they want to test (staple foods, side dishes, vegetables, etc.) from a food database (GL20 lookup table for common foods) and compare them with their own blood sugar fluctuations. The comparison is done over two days, with one test meal being changed (not exceeding the amount corresponding to GL20), while the types and quantities of other foods remain unchanged.

[0043] The quantity of food selected should not exceed the values ​​in Tables 3 and 4 below. Set the day with the smaller quantity as A grams and the day with the larger quantity as B grams, and enter them into the APP respectively.

[0044] To test tolerance to white rice, the same basic meal was consumed for two consecutive days. On the first day, 50 grams of cooked white rice were consumed, and on the second day, 100 grams of cooked white rice were consumed (not exceeding 100 grams as shown in the table below). Other foods were consumed similarly, and the recommended amounts should not be exceeded.

[0045] Table 3. Staple food selection options and gram amounts in the diabetes management method implemented according to the present invention.

[0046]

[0047] Table 4. Side dish options and gram values ​​in the diabetes management method implemented according to the present invention.

[0048]

[0049]

[0050] Corresponding to the above-mentioned diabetes management methods, this invention proposes a diabetes management system, which includes a continuous dynamic blood glucose monitoring system, an electronic recipe for personalized food test meals, and software for calculating food tolerance.

[0051] Example 2

[0052] In this embodiment, corresponding to Embodiment 1, meals A and B are adjusted to type A and type B exercise, respectively. The type is the exercise intensity, and the exercise tolerance test in health management is used. The algorithm remains the same as in Embodiment 1 to calculate exercise tolerance. The method involves fixing the diet for two days, starting exercise half an hour after each meal. The exercise intensity on the first day is A, and on the second day it is B. The appropriate exercise intensity is determined based on the decrease in blood glucose. The criteria are: whether the difference between the peak blood glucose level within 2 hours after the meal and the pre-meal blood glucose level is less than 2.2 mmol / L, and whether the blood glucose level within 2 hours after the meal is less than 1.1 times the pre-meal fasting blood glucose level. Exercise intensity is calculated in units of calories burned.

[0053] The preferred embodiments of the present invention have been described in detail above. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0054] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0055] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

[0056] The description in this specification is merely illustrative of the invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the content of this specification or exceed the scope defined in the claims, they should all fall within the protection scope of this invention.

Claims

1. A method for diabetes health management, characterized in that: The method includes the following steps: The absorption test meal consists of a basic daily meal plus a certain food for testing. The test meal is taken at the same time every two days. The energy intake of the test meal is in the range of 800-3000kcal. The amount of the certain food is different and is set within the range of less than 20 of its glycemic load. The calorie consumption is basically the same every two days. The calorie consumption can be obtained through a sports APP. By installing a dynamic blood glucose monitoring probe and an APP, blood glucose data points are automatically transmitted to the software backend in real time and a curve is plotted. The basic meal and a specific food can be selected through the APP. The software automatically captures the blood glucose curve within 2 hours after a meal, calculates whether the difference between the peak blood glucose level within 2 hours after a meal and the pre-meal blood glucose level is less than 2.2 mmol / L, and whether the blood glucose level within 2 hours after a meal is less than 1.1 times the pre-meal fasting blood glucose level. It then uses a proprietary algorithm to measure the tolerance of the test food. The proprietary algorithm is as follows: if both conclusions regarding food tolerance are greater than or equal to B, then the food tolerance is greater than or equal to B; if both conclusions regarding food tolerance are less than or equal to A, then the food tolerance is less than or equal to A; if the two conclusions regarding food tolerance contradict each other, an error is reported; if the calculated food tolerance is between A and B, the tolerance is calculated as ((Area of ​​B + Area of ​​A) * 0.5 / Area of ​​A - 1) * (A + B grams) + A grams. Where A is the amount of a certain food in test meal A, B is the amount of a certain food in test meal B, and B is greater than A; the area of ​​A is the area between the blood glucose curve of the test subject after consuming test meal A and the time axis, and the area of ​​B is the area between the blood glucose curve of the test subject after consuming test meal B and the time axis.

2. The method according to claim 1, characterized in that: The test meal included one or more of the following: staple food, vegetables, fruits, and snacks.

3. A method for diabetes health management, characterized in that, The method includes the following steps: Every two days, a fixed test meal is consumed, and exercise is performed at a fixed time after each meal. The exercise is as follows: the amount of exercise on the first day is A, and the amount of exercise on the second day is B. By installing a dynamic blood glucose monitoring probe and an APP, blood glucose data points are automatically transmitted to the software backend in real time and a curve is plotted. The amount of exercise and the duration of exercise are recorded through the APP, and the amount of exercise is calculated in units of calories burned. The software automatically captures the blood glucose curve within 2 hours after a meal, calculates whether the difference between the peak blood glucose level within 2 hours after a meal and the pre-meal blood glucose level is less than 2.2 mmol / L, and whether the blood glucose level within 2 hours after a meal is less than 1.1 times the pre-meal fasting blood glucose level. The software obtains the above two judgment results and uses a proprietary algorithm to measure the tolerance of the test exercise. The proprietary algorithm is as follows: if both results of exercise tolerance are greater than or equal to B, then the exercise tolerance is greater than or equal to B; if both results of exercise tolerance are less than or equal to A, then the exercise tolerance is less than or equal to A; if the two results of exercise tolerance are contradictory, an error is reported; for exercise tolerance calculated between A and B, the tolerance is ((Area of ​​B + Area of ​​A) * 0.5 / Area of ​​A - 1) * (Area of ​​B Exercise) + A Exercise. Where A represents the first type of exercise intensity, B represents the second type of exercise intensity, and B is greater than A; the area of ​​A is the area between the blood glucose curve and the time axis after the test subject has completed the first type of exercise intensity, and the area of ​​B is the area between the blood glucose curve and the time axis after the test subject has completed the second type of exercise intensity.

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