Iodine nutrition level evaluation method and system

Abstract

The invention discloses an iodine nutrition level evaluation method and system, and relates to the field of water component detection, and the system comprises a recording module which is used for recording iodized salt use scene information and iodine-containing food eating scene information of a user in real time through mobile computer equipment, and generating an iodine intake behavior data set with a scene label; the mapping module is used for collecting basic metabolic rate data and basic physiological parameters of the user, establishing an iodine metabolism state evaluation model and outputting a data set of physiological and metabolic mapping; the iodine salt use condition and the iodine-containing food eating condition are recorded in real time, basic metabolic rate data and basic physiological parameters of a user are collected at the same time, the environmental iodine exposure amount is calculated in combination with the water iodine concentration and the living time of a living area, and then the iodine nutrition supply and demand difference value is obtained so as to assist the user in mastering the own iodine nutrition condition in real time and adjusting diet habits in time; the iodine nutrition balance is effectively guaranteed.

Description

Technical Field

[0001] This invention relates to the field of water composition detection technology, specifically to a method and system for assessing iodine nutritional levels. Background Technology

[0002] Iodine is an essential trace element for the human body, and its core function is to participate in the synthesis of thyroid hormones. These hormones regulate the body's metabolism and are crucial for the brain development and physical growth of fetuses and infants. They also affect energy metabolism and organ function in adults. The human body cannot synthesize iodine on its own and must obtain it from external sources. Long-term deficiency can lead to problems such as goiter and cretinism.

[0003] Pregnant women, breastfeeding women, and infants are the core groups that need to focus on iodine supplementation and have their intake closely monitored. Iodine deficiency in pregnant and breastfeeding women can affect fetal and infant brain development, and infants, whose thyroid function is not yet fully developed, are prone to intellectual and physical developmental abnormalities due to iodine deficiency. In addition, people living in iodine-deficient areas where the iodine content in water is less than 40 micrograms per liter need to supplement their iodine intake through iodized salt and other means, and should pay attention to their intake to avoid iodine deficiency leading to thyroid diseases.

[0004] Therefore, we propose a method and system for assessing iodine nutrition levels. Summary of the Invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides a method and system for assessing iodine nutrition levels, which can effectively solve the problems of the prior art.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions; This invention discloses an iodine nutrition level assessment system, comprising: The system comprises the following modules: a recording module for real-time recording of user iodized salt and iodine-containing food consumption scenarios via mobile computing devices, generating a dataset of iodine intake behavior with scenario tags; a mapping module for collecting user basal metabolic rate data and, combined with user basic physiological parameters, establishing an iodine metabolism status assessment model and outputting a dataset mapping physiological and metabolic processes; an assessment module for collecting water iodine concentration data in the user's residential area and calculating the cumulative environmental iodine exposure value based on residence duration, forming an environmental iodine exposure assessment dataset; a calculation module for receiving the three datasets obtained from the recording, mapping, and assessment modules, and using them to calculate the user's real-time iodine nutrition supply-demand difference; a matching module for receiving the calculation results from the calculation module, comparing the results with preset iodine nutrition status thresholds, triggering dynamic warnings, and providing feedback on the corresponding iodine nutrition status level; and a monitoring module for real-time storage of the user's iodine nutrition status level, iodine nutrition supply-demand difference, and the three datasets, and generating real-time updated dynamic curves for the user's iodine nutrition status level and iodine nutrition supply-demand difference over time to characterize the user's real-time iodine nutrition level. The recording module is interconnected with a mapping module and an evaluation module via a wireless network. The evaluation module is interconnected with a calculation module via a wireless network. The calculation module is interconnected with a matching module via a wireless network. The matching module is interconnected with a monitoring module via a wireless network. Among them, the mobile computer device is held by the user, the dynamic warning is an audio and light warning, and the mobile computer device is the carrier. The audio warning content is a specified warning audio and the iodine nutrition status level broadcast in a loop.

[0007] Furthermore, the iodized salt usage scenario information recorded by the recording module includes the amount of iodized salt used, the time period of adding iodized salt, the cooking method and the number of people eating it; the iodine-containing food consumption scenario information includes the type of iodine-containing food, the amount consumed at one time, the frequency of consumption and the food processing method. The recording module is also used to calculate the user's dietary iodine intake in a single scenario based on the iodine content label of iodized salt and the iodine content database of iodine-containing foods, and to associate the dietary iodine intake with the corresponding scenario label and store it in the iodine intake behavior dataset.

[0008] Furthermore, when the mapping module establishes the iodine metabolism status assessment model, it follows the following: Basic physiological parameters of users are collected, including age, gender, and weight. Iodine metabolic rate is calculated based on the metabolic rate allometric growth relationship and age stratification correction coefficient, and is used to characterize iodine metabolic status. In the formula: Iodine metabolism rate, The normalization coefficient is... For the user's basal metabolic rate, This is a standard basal metabolic rate reference value. The power exponent of basal metabolic rate. For user weight, This is the standard weight reference value. The power-law exponent of allometric growth in body weight. This is the age stratification correction factor.

[0009] Furthermore, the cumulative environmental iodine exposure value in the assessment module is calculated using the following formula: In the formula: The concentration of iodine in the water in the user's residential area; This refers to the user's average daily water intake. The absorption coefficient of iodine in water by the human body; This represents the user's cumulative length of stay in the area.

[0010] Furthermore, the calculation logic for the real-time iodine supply and demand difference of the user in the calculation module is as follows: In the formula: Provide users with real-time iodine supply and demand differences; To record the total dietary iodine intake of users within a preset statistical period in the iodine intake behavior dataset generated by the recording module; This is the user's basic iodine requirement; This is a physiological state correction factor; This represents the iodine metabolism rate.

[0011] Furthermore, the preset iodine nutritional status thresholds in the matching module include an iodine deficiency threshold S1, an iodine adequate threshold range [S2,S3], and an iodine excess threshold S4, where S1 < S2 < S3 < S4. When the calculation module outputs When the value is <S1, it is determined to be iodine deficiency level; When S2≤ When the value is ≤S3, it is determined to be of iodine adequacy level; when When the value is greater than S4, it is determined to be an iodine excess level.

[0012] Furthermore, the dynamic curve generated by the monitoring module includes a first curve and a second curve; The first curve has time as the horizontal axis. The first curve uses time as the horizontal axis and iodine nutritional status as the vertical axis; The real-time update trigger conditions of the monitoring module include the user completing a record of iodized salt or iodine-containing food intake, the mapping module completing a physiological parameter collection, and the user's residential area environmental iodine data being updated. When any of these conditions are met, a dynamic curve update is performed.

[0013] On the other hand, a method for assessing iodine nutrition levels includes: Using users' mobile computing devices, real-time data on their iodized salt usage and iodine-containing food consumption scenarios is recorded to generate a scenario-tagged iodine intake behavior dataset. Simultaneously, dietary iodine intake for each scenario is calculated and stored in this dataset. Basal metabolic rate data is collected, and combined with basic physiological parameters such as age, gender, and weight, an iodine metabolic status assessment model is established based on the metabolic rate allometric growth relationship and age-stratified correction coefficients, outputting a dataset mapping physiological and metabolic processes. Water iodine concentration in users' residential areas is collected, and combined with users' average daily water intake and residence duration, the cumulative environmental iodine exposure value is calculated to constitute an environmental iodine exposure assessment dataset. The system collects iodine intake behavior datasets, physiological and metabolic mapping datasets, and environmental iodine exposure assessment datasets. Based on preset logic including basic iodine requirements, physiological state correction coefficients, and iodine metabolism rate, it calculates the real-time iodine nutrition supply-demand difference for users. The system compares the user's real-time iodine nutrition supply-demand difference with preset iodine deficiency, iodine adequacy, and iodine excess thresholds, triggering dynamic sound and light warnings via mobile computer devices and providing feedback on the corresponding iodine nutrition status level. The system stores the user's iodine nutrition status level, iodine nutrition supply-demand difference, and the aforementioned three datasets in real time, generating a dynamic curve representing the real-time iodine nutrition level along the time dimension, and updating the curve when preset update trigger conditions are met.

[0014] Compared with the known prior art, the technical solution provided by this invention has the following beneficial effects: This invention provides a method and system for assessing iodine nutrition levels. During execution, the method and system capture real-time scenarios of user iodized salt use and iodine-containing food consumption, combining data on the iodine content of iodized salt and iodine-containing foods with the influence of cooking and processing methods to accurately calculate dietary iodine intake. Simultaneously, it collects user basal metabolic rate data and basic physiological parameters to establish an iodine metabolism status assessment model. Furthermore, it combines the water iodine concentration in the residential area and the duration of residence to calculate the cumulative environmental iodine exposure value, comprehensively deriving the real-time iodine nutrition supply-demand difference. This difference is then compared with a preset threshold to trigger audible and visual warnings and provide feedback on the iodine nutrition status level. The system also stores relevant data in real-time and generates dynamic curves over time, achieving a precise and comprehensive assessment of iodine nutrition levels, timely reminding users to adjust, and facilitating users' independent tracking of long-term changes. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0016] Figure 1 A schematic diagram of a system for assessing iodine nutritional levels; Figure 2 This is a flowchart illustrating a method for assessing iodine nutrition levels. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0018] The present invention will be further described below with reference to embodiments.

[0019] Example 1: This embodiment provides an iodine nutrition level assessment system, such as... Figure 1 As shown, it includes: The recording module is used to record users' iodized salt usage scenarios and iodine-containing food consumption scenarios in real time via mobile computer devices, and generate iodine intake behavior datasets with scenario tags. The information recorded by the recording module regarding the use of iodized salt includes the amount of iodized salt used, the time period when iodized salt was added, the cooking method, and the number of people consuming it. The information regarding the consumption of iodized foods includes the types of iodized foods, the amount consumed at one time, the frequency of consumption, and the food processing method. The recording module is also used to calculate the user's dietary iodine intake in a single scenario based on the iodine content label of iodized salt and the iodine content database of iodine-containing foods, and to associate the dietary iodine intake with the corresponding scenario label and store it in the iodine intake behavior dataset. The formula for calculating a user's dietary iodine intake in a single scenario is: ; In the formula: This refers to the amount of iodized salt used in a single scenario; The iodine content labeled on iodized salt packaging; The cooking method has an impact coefficient. The number of people consuming the food in a single scenario; This refers to the amount of a certain type of iodine-containing food consumed in a single scenario; This refers to the iodine content of this type of iodine-containing food in the iodine content database; The influence coefficient of food processing method; The above formula breaks down the two major dietary iodine sources, iodized salt and iodine-containing foods, and uses the amount of iodized salt used, the labeled iodine content and the amount of iodine-containing foods consumed, and the iodine content in the database as the core calculation basis. At the same time, it incorporates the influence coefficients of cooking methods and food processing methods to accurately quantify the degree of iodine loss caused by heating time, temperature and processing such as washing and pickling. It also considers the factor of the number of people eating the food to ensure that it can accurately reflect the actual amount of dietary iodine ingested by users in a single scenario, thereby providing accurate dietary intake data support for subsequent iodine nutrition assessment. in, The value range is set to (0,1]. The larger the value is when using cooking methods with short heating time and low temperature, such as cold dishes and stir-fries, the smaller the value is when using cooking methods such as stewing and long-term high-temperature heating. The value range is set to (0,1]. The larger the value is when processing methods such as fresh consumption and light washing are used, the smaller the value is when processing methods such as pickling, freezing, and deep dehydration are used. The mapping module is used to collect users' basal metabolic rate data and combine it with users' basic physiological parameters, including users' age, gender, and weight, to establish an iodine metabolism status assessment model and output a dataset of physiological and metabolic mapping. When the mapping module establishes the iodine metabolism status assessment model, it follows the following rules: The user's basic physiological parameters were collected, and the iodine metabolic rate was calculated based on the metabolic rate allometric growth relationship and age stratification correction coefficient. The iodine metabolic rate was used to characterize the iodine metabolic status. In the formula: Iodine metabolism rate, which characterizes the user's iodine metabolism status, is expressed in relative metabolic units (RMU). The normalized term for basal metabolic rate, The normalization coefficient is... This refers to the user's basal metabolic rate, expressed in kcal / day. This is a reference value for standard basal metabolic rate; The power-law exponent of basal metabolic rate reflects the degree to which basal metabolic rate (BMR) affects iodine metabolism. Iodine is an essential trace element for the synthesis of thyroid hormones T3 and T4, which are core hormones regulating basal metabolic rate in the human body. When thyroid function is abnormal, such as hyperthyroidism where BMR can increase by 20%-80%, and hypothyroidism where BMR decreases significantly, this invention directly reflects thyroid function status by collecting users' measured BMR and comparing it with standard values. Clinical data shows that BMR and thyroid hormone levels have a non-linear correlation; the power-law form can more accurately capture this non-linear relationship, thus more precisely reflecting iodine metabolism status.

[0020] This is an allometric growth term. User's weight, in kg; This is the standard weight reference value. The allometric growth exponent for body weight reflects the non-linear effect of body weight on metabolic demand. This term is based on Kleiber's Law, which reveals that the metabolic rate in mammals is related to body weight by a power of 3 / 4 (i.e., metabolic rate ∝ body weight^0.75), a scale law that is universally applicable across species in biology. Iodine, as a core component of thyroid hormones, should have its requirement following the scale law of metabolism. This correction scientifically reflects the differences in iodine requirements among individuals of different body weights, avoiding biases caused by simplistic linear assumptions.

[0021] The age stratification correction factor indicates that there are significant differences in iodine nutritional requirements among different age groups. This is an age stratification correction factor. The rules for determining the value are as follows: When the user is an infant (0-3 years old), The value range is [0.4, 0.6], indicating a significant increase in iodine requirements during growth and development; when the user is a child (4-11 years old), The value range is [0.2, 0.4], indicating increased iodine requirements during the growth period; when the user is in puberty (12-18 years old), The value range is [0.3, 0.5], indicating a significant increase in iodine requirements during the rapid growth period; the upper limit is used for females. When the user is an adult (19-60 years old), The value range is [-0.1, 0.1], indicating relatively stable metabolism; when the user is elderly (over 60 years old), The value ranges from [-0.3, -0.1], indicating a decrease in metabolic rate.

[0022] By collecting easily accessible physiological parameters such as users' basal metabolic rate, weight, and age, and combining the allometric growth theory of metabolic physiology with the age-stratified iodine nutritional needs, a scientific and reasonable iodine metabolism status assessment model was constructed. This improved the reliability of the assessment results and provided a key basis for correcting individual metabolic differences in subsequent calculations of the iodine supply and demand gap.

[0023] The assessment module is used to collect data on water iodine concentration and air iodine deposition in the user's residential area, and calculate the cumulative value of environmental iodine exposure based on the length of residence to form an environmental iodine exposure assessment dataset. The cumulative value of environmental iodine exposure in the assessment module is calculated using the following formula: In the formula: The concentration of iodine in the water in the user's residential area; This refers to the user's average daily water intake. The absorption coefficient of iodine in water by the human body; This refers to the user's cumulative length of stay in the area. In non-industrially polluted areas or areas not affected by nuclear accidents, the primary source of environmental iodine exposure is drinking water. This formula, based on epidemiological studies of iodine nutrition, focuses on a precise assessment of drinking water as a key source of environmental iodine.

[0024] in, Determined by routine monitoring data of drinking water iodine content released by the user's local health or environmental monitoring department; Determined by daily water intake data manually recorded by the user through the system or automatically collected by smart drinking water devices; The above parameters are determined based on data from existing completed clinical iodine metabolism studies on the average absorption ratio of iodine in drinking water by the human body, and the above parameter values ​​are only one example. The calculation module is used to receive three datasets obtained from the recording module, mapping module and evaluation module, and to calculate the real-time iodine nutrition supply and demand difference of the user using the three datasets. The calculation logic for the real-time iodine supply and demand difference for users in the calculation module is as follows: In the formula: Provides users with real-time iodine supply and demand differences, when A value greater than 0 indicates that supply exceeds demand, and users' iodine nutrition status is either sufficient or even excessive. When ≈0, it indicates a balance between supply and demand, and the user's iodine nutritional status is appropriate. When the value is less than 0, it indicates that the supply is less than the demand, and the user's iodine nutrition status is biased towards deficiency. To record the total dietary iodine intake of users within a preset statistical period in the iodine intake behavior dataset generated by the recording module; This is the user's basic iodine requirement; This is a physiological state correction factor; Iodine metabolism rate; in, The values ​​are based on the baseline values ​​for recommended iodine intake determined according to the user's population category. According to the "Chinese Dietary Reference Intakes (2023 Edition)" published by the Chinese Nutrition Society, there are significant differences in recommended iodine intake among different population groups: infants and young children 90 μg / day, children and adolescents 90-120 μg / day, ordinary adults 120 μg / day, and pregnant and lactating women 230-240 μg / day. That is, the higher the values ​​for adolescents in their growth and development period and pregnant and lactating women, the lower the values ​​for infants, the elderly, and people with hyperthyroidism. The value range is set to 1~2. The higher the value is when the user is pregnant, breastfeeding, or has an iodine absorption disorder, the lower the value is when the user is healthy and in a non-special physiological state without iodine absorption problems.

[0025] The above formula uses the total dietary iodine intake within a preset statistical period as the core data on the supply side, and the basic iodine requirements for different populations such as infants, young children, ordinary adults, and pregnant and lactating women as the benchmark on the demand side. It also incorporates physiological state correction coefficients and iodine metabolism rate. This multi-level correction mechanism breaks through the traditional "one-size-fits-all" fixed requirement model in iodine nutrition assessment, achieving a leap from "population standard" to "individual precision." The introduction of iodine metabolism rate organically combines the iodine metabolism rate calculated by the mapping module with the supply-demand difference calculation by the calculation module, forming a complete closed-loop assessment system of "data collection - metabolic assessment - supply-demand calculation - state determination," enabling the assessment results to truly reflect the individual's dynamic iodine nutrition balance.

[0026] The matching module is used to receive the calculation results from the calculation module, compare the calculation results with the preset iodine nutrition status threshold, trigger dynamic warnings, and provide feedback on the corresponding iodine nutrition status level. The preset iodine nutritional status thresholds in the matching module include the iodine deficiency threshold S1, the iodine adequate threshold range [S2,S3], and the iodine excess threshold S4, and S1 < S2 < S3 < S4. When the calculation module outputs When the value is <S1, it is determined to be iodine deficiency level; When S2≤ When the value is ≤S3, it is determined to be of iodine adequacy level; when When the value is greater than S4, it is judged as an iodine excess level; The monitoring module is used to store the user's iodine nutrition status level, iodine supply and demand difference and three datasets in real time, and generate real-time updated dynamic curves of the user's iodine nutrition status level and iodine supply and demand difference in the time dimension to characterize the real-time status of the user's iodine nutrition level. The dynamic curves generated by the monitoring module include a first curve and a second curve; The first curve has time as the horizontal axis. The first curve uses time as the horizontal axis and iodine nutritional status level as the vertical axis; The real-time update trigger conditions of the monitoring module include the user completing a record of iodized salt or iodine-containing food intake, the mapping module completing a physiological parameter collection, and the user's residential area environmental iodine data being updated. When any of these conditions are met, a dynamic curve update is performed. Among them, the mobile computer device is held by the user, the dynamic warning is an audio and light warning, and the mobile computer device is the carrier. The audio warning content is a specified warning audio and a cyclically broadcast iodine nutrition status level. The user's mobile computer device establishes a communication connection with an external smart data collection device to receive data on iodized salt usage, iodine-containing food weight, and basal metabolic rate measurement transmitted by the external smart data collection device. The external smart data collection device includes a smart salt spoon, a smart food scale, and a smart health bracelet (with basal metabolic rate measurement function). The recording module is interconnected with the mapping module and the evaluation module via a wireless network. The evaluation module is interconnected with the calculation module via a wireless network. The calculation module is interconnected with the matching module via a wireless network. The matching module is interconnected with the monitoring module via a wireless network.

[0027] In this embodiment, the recording module records the user's iodized salt usage scenario information and iodine-containing food consumption scenario information in real time through a mobile computer device, generating an iodine intake behavior dataset with scenario tags. The mapping module collects the user's basal metabolic rate data and, combined with the user's basic physiological parameters, establishes an iodine metabolic status assessment model based on the metabolic rate allometric growth relationship and age stratification correction coefficient, outputting a physiological and metabolic mapping dataset. The assessment module then collects water iodine concentration data in the user's residential area and calculates the cumulative environmental iodine exposure value based on the length of residence to form an environmental iodine exposure assessment dataset. The calculation module further receives the three datasets obtained from the recording module, mapping module, and assessment module, and calculates the user's real-time iodine nutrition supply and demand difference using the three datasets. The matching module receives the calculation results from the calculation module, compares the calculation results with a preset iodine nutrition status threshold, triggers a dynamic warning, and provides feedback on the corresponding iodine nutrition status level. Finally, the monitoring module stores the user's iodine nutrition status level, iodine nutrition supply and demand difference, and the three datasets in real time, and generates a real-time updated dynamic curve for the user's iodine nutrition status level and iodine nutrition supply and demand difference according to the time dimension to characterize the real-time status of the user's iodine nutrition level.

[0028] In the system described in the above embodiments, in real-world scenarios, users can use handheld devices to record the use of iodized salt and consumption of iodine-containing foods in real time. Simultaneously, thyroid temperature and heart rate variability are collected to correlate with iodine metabolism status. Combined with the water iodine concentration, air iodine deposition, and duration of residence in the residential area, the environmental iodine exposure is calculated, thereby obtaining the iodine nutrition supply and demand difference. If the difference deviates from the appropriate range, the device will issue an audible and visual warning and indicate the status level. It can also generate a dynamic curve over time to help users monitor their own iodine nutrition status in real time, adjust their dietary habits in a timely manner, and effectively ensure a balanced iodine nutrition.

[0029] Example 2: At the implementation level, based on Example 1, this example refers to... Figure 2 A further detailed description of the iodine nutrition level assessment system in Example 1 is provided below: A method for assessing iodine nutritional levels, comprising: Using the user's mobile computer device, information on the usage scenarios of iodized salt and the consumption scenarios of iodized foods is recorded in real time to generate an iodine intake behavior dataset with scenario tags. At the same time, the dietary iodine intake in a single scenario is calculated and stored in the dataset. Collect users' basal metabolic rate data and combine it with basic physiological parameters such as age, gender, and weight. Based on the metabolic rate allometric growth relationship and age stratification correction coefficient, establish an iodine metabolism status assessment model and output a dataset mapping physiological and metabolic data. The concentration of iodine in the water in the user's residential area was collected, and the cumulative value of environmental iodine exposure was calculated by combining the user's average daily drinking water volume and length of residence, so as to form an environmental iodine exposure assessment dataset. It receives iodine intake behavior dataset, physiological and metabolic mapping dataset, and environmental iodine exposure assessment dataset, and calculates the real-time iodine nutrition supply and demand difference for users based on preset logic including basic iodine requirements, physiological state correction coefficient, and iodine metabolism rate. The system compares the user's real-time iodine nutrition supply and demand difference with preset iodine deficiency, iodine adequacy, and iodine excess thresholds, triggers dynamic sound and light warnings via mobile computer devices, and provides feedback on the corresponding iodine nutrition status level. The system stores the user's iodine nutrition status level, iodine supply and demand difference, and the aforementioned three datasets in real time. It generates a dynamic curve representing the real-time status of iodine nutrition level in terms of time dimension and performs curve updates when preset update trigger conditions are met.

[0030] In summary, the system and method in the above embodiments, during execution, accurately calculate dietary iodine intake by capturing the specific scenarios of users' use of iodized salt and consumption of iodized foods in real time, combining the iodine content data of iodized salt and iodized foods with the influence of cooking and processing methods. At the same time, it collects thyroid area temperature, heart rate variability, and basal metabolic rate to establish a correlation with iodine metabolism status. It can also combine the water iodine concentration, air iodine deposition, and residence time in the residential area to calculate the cumulative value of environmental iodine exposure, comprehensively derive the real-time iodine nutrition supply and demand difference, and then trigger sound and light warnings and provide feedback on the iodine nutrition status level after comparing it with the preset threshold. It also stores relevant data in real time and generates dynamic curves over time, realizing accurate and comprehensive assessment of iodine nutrition level, timely reminding users to adjust, and facilitating users to independently track long-term changes.

[0031] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An iodine nutrition level assessment system, characterized in that, include: The recording module is used to record users' iodized salt usage scenarios and iodine-containing food consumption scenarios in real time via mobile computer devices, and generate iodine intake behavior datasets with scenario tags. The mapping module is used to collect users' basal metabolic rate data and, in combination with users' basic physiological parameters, establish an iodine metabolism status assessment model and output a dataset of physiological and metabolic mapping. The assessment module is used to collect water iodine concentration data in the user's residential area, calculate the cumulative value of environmental iodine exposure based on the length of residence, and form an environmental iodine exposure assessment dataset. The calculation module is used to receive three datasets obtained from the recording module, mapping module and evaluation module, and to calculate the real-time iodine nutrition supply and demand difference of the user using the three datasets. The matching module is used to receive the calculation results from the calculation module, compare the calculation results with the preset iodine nutrition status threshold, trigger dynamic warnings, and provide feedback on the corresponding iodine nutrition status level. The monitoring module is used to store the user's iodine nutrition status level, iodine supply and demand difference and three datasets in real time, and generate real-time updated dynamic curves of the user's iodine nutrition status level and iodine supply and demand difference in the time dimension to characterize the real-time status of the user's iodine nutrition level. Among them, the mobile computer device is held by the user, the dynamic warning is an audio and light warning, and the mobile computer device is the carrier. The audio warning content is a specified warning audio and the iodine nutrition status level broadcast in a loop.

2. The iodine nutrition level assessment system according to claim 1, characterized in that, The iodized salt usage scenario information recorded by the recording module includes the amount of iodized salt used, the time period when iodized salt is added, the cooking method and the number of people eating it. The iodine-containing food consumption scenario information includes the type of iodine-containing food, the amount consumed at one time, the frequency of consumption and the food processing method. The recording module is also used to calculate the user's dietary iodine intake in a single scenario based on the iodine content label of iodized salt and the iodine content database of iodine-containing foods, and to associate the dietary iodine intake with the corresponding scenario label and store it in the iodine intake behavior dataset.

3. The iodine nutrition level assessment system according to claim 1, characterized in that, When the mapping module establishes the iodine metabolism status assessment model, it follows the following: Basic physiological parameters of users are collected, including age, gender, and weight. Iodine metabolic rate is calculated based on the metabolic rate allometric growth relationship and age stratification correction coefficient, and is used to characterize iodine metabolic status. In the formula: Iodine metabolism rate, The normalization coefficient is... For the user's basal metabolic rate, This is a standard basal metabolic rate reference value. The power exponent of basal metabolic rate. For user weight, This is the standard weight reference value. The power-law exponent of allometric growth in body weight. This is the age stratification correction factor.

4. The iodine nutrition level assessment system according to claim 1, characterized in that, The cumulative value of environmental iodine exposure in the assessment module is calculated using the following formula: In the formula: The concentration of iodine in the water in the user's residential area; This refers to the user's average daily water intake. The absorption coefficient of iodine in water by the human body; This represents the user's cumulative length of stay in the area.

5. The iodine nutrition level assessment system according to claim 1, characterized in that, The calculation logic for the real-time iodine nutrition supply-demand difference of users in the calculation module is as follows: In the formula: Provide users with real-time iodine supply and demand differences; To record the total dietary iodine intake of users within a preset statistical period in the iodine intake behavior dataset generated by the recording module; This is the user's basic iodine requirement; This is a physiological state correction factor; This represents the iodine metabolism rate.

6. The iodine nutrition level assessment system according to claim 1, characterized in that, The preset iodine nutritional status thresholds in the matching module include an iodine deficiency threshold S1, an iodine adequate threshold range [S2,S3], and an iodine excess threshold S4, where S1 < S2 < S3 < S4. When the calculation module outputs When the value is <S1, it is determined to be iodine deficiency level; When S2≤ When the value is ≤S3, it is determined to be of iodine adequacy level; when When the value is greater than S4, it is determined to be an iodine excess level.

7. The iodine nutrition level assessment system according to claim 1, characterized in that, The dynamic curves generated by the monitoring module include a first curve and a second curve; The first curve has time as the horizontal axis. The first curve uses time as the horizontal axis and iodine nutritional status as the vertical axis; The real-time update trigger conditions of the monitoring module include the user completing a record of iodized salt or iodine-containing food intake, the mapping module completing a physiological parameter collection, and the user's residential area environmental iodine data being updated. When any of these conditions are met, a dynamic curve update is performed.

8. The iodine nutrition level assessment system according to claim 1, characterized in that, The recording module is interconnected with a mapping module and an evaluation module via a wireless network. The evaluation module is interconnected with a calculation module via a wireless network. The calculation module is interconnected with a matching module via a wireless network. The matching module is interconnected with a monitoring module via a wireless network.

9. A method for assessing iodine nutrition levels, wherein the method is an implementation method of an iodine nutrition level assessment system as described in any one of claims 1-8, characterized in that, include: Using the user's mobile computer device, information on the usage scenarios of iodized salt and the consumption scenarios of iodized foods is recorded in real time to generate an iodine intake behavior dataset with scenario tags. At the same time, the dietary iodine intake in a single scenario is calculated and stored in the dataset. Collect users' basal metabolic rate data and combine it with users' basic physiological parameters to establish an iodine metabolism status assessment model based on the metabolic rate allometric growth relationship and age stratification correction coefficient, and output a dataset mapping physiological and metabolic functions. The concentration of iodine in the water in the user's residential area was collected, and the cumulative value of environmental iodine exposure was calculated by combining the user's average daily drinking water volume and length of residence, so as to form an environmental iodine exposure assessment dataset. It receives iodine intake behavior dataset, physiological and metabolic mapping dataset, and environmental iodine exposure assessment dataset, and calculates the real-time iodine nutrition supply and demand difference for users based on preset logic including basic iodine requirements, physiological state correction coefficient, and iodine metabolism rate. The system compares the user's real-time iodine nutrition supply and demand difference with preset iodine deficiency, iodine adequacy, and iodine excess thresholds, triggers dynamic sound and light warnings via mobile computer devices, and provides feedback on the corresponding iodine nutrition status level. The system stores the user's iodine nutrition status level, iodine supply and demand difference, and the aforementioned three datasets in real time. It generates a dynamic curve representing the real-time status of iodine nutrition level in terms of time dimension and performs curve updates when preset update trigger conditions are met.

Images