Intelligent dynamic monitoring and active nutrition intervention method for obese people

Abstract

The invention provides an intelligent dynamic monitoring and active nutrition intervention method for obese people. The method comprises the following steps: S1, performing primary screening and health risk assessment on overweight and obese people; S2, making an intervention scheme; S3, monitoring; S4, performing nutrition intervention; and S5, evaluating the intervention result. The invention provides an appropriate rehabilitation technology for intelligent dynamic monitoring and active nutrition intervention of obese people, effective weight management of obese patients, and help patients to recover healthy weights through means of real-time monitoring, nutrition intervention and the like of a big data platform and wearable equipment. Moreover, industrialization and large-scale popularization and application are realized, and more people are helped to lose weight.

Description

technical field [0001] The invention relates to the technical field of health management, in particular to an intelligent dynamic monitoring and active nutritional intervention method for obese people. Background technique [0002] The proportion of obese people in our country's adults, adolescents and children is gradually increasing, and obesity has long been included in the category of diseases. The latest research shows that China's obese population ranks first in the world, with 43.2 million obese men and 46.4 million obese women, accounting for 16.3% and 12.4% of the world's total respectively. With the increase of body mass index (BMI), there are metabolic disorders and obesity-related diseases, such as: pre-diabetes, type 2 diabetes (T2DM), hypertension, hyperlipidemia, non-alcoholic fatty liver disease (NAFLD), osteoarthritis , sleep apnea syndrome, hyperuricemia, obesity-related nephropathy, polycystic ovary syndrome and obesity-related tumors are also showing a r...

AI Technical Summary

Problems solved by technology

However, in clinical practice, most of the interventions for obese people are treated by a single department, which cannot provide holistic, precise, continuous and effective services for obese people

[0007] 3) In the process of weight loss, there is a lack of effective means to evaluate the predictability of dietary adjustments on the weight loss effect of obese people, and there is a lack of food with the concept of non-drug intervention as an obesity intervention tool

[0008] 4) Obese people are mostly people with poor self-control, poor compliance and lack of corresponding health knowledge

[0009] 5) At present, one-to-one individual management is mostly adopted for the management of obese patients. The labor cost in the intervention process is too high, and there is a lack of access to intelligent management systems and monitoring equipment, so that real-time monitoring of health status and timely feedback of relevant information cannot be achieved.

In the management of obese patients, if patients do not receive effective data and feedback on index improvement, it will be difficult for patients to persist, and companies will easily lose patients

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