About
Although body mass index (BMI) and waist circumference are commonly used in clinical practice to distinguish obesity or related diseases, these indicators cannot discriminate between lean muscle and fat mass. Therefore, the relationship between the above traditional indicators and health outcomes varies in different studies. Researches have revealed that fat content and distribution in obese people is related to cardiovascular disease and insulin resistance. While the loss of muscle content has been associated with poor prognosis of diabetes, trauma, sepsis, lung disease, renal failure and heart failure. So we put forward the following hypotheses: 1. In the whole population, muscle fat content and distribution is related to health outcomes, such as cardiovascular disease, metabolic disorder, cancer, hypertension, etc; 2. Among people with diabetes or obesity, muscle fat content and distribution is associated with particular disease outcomes, especially cardiovascular outcome, neurocognitive outcome and chronic !kidney disease; 3. Use deep learning methods to establish a correlation model between muscle fat content/distribution and disease devlopment!4. Investigate what the role of gene is in the the association of muscle fat content and fat distribution with the risk of disease occurrence.