Analysis of Quantitative Relationship between Dietary Characteristics and Health Indicators of Long-lived Population by Random Forest Regression Algorithm

To explore the potential quantitative relationship between dietary characteristics and physical health indicators of the long-lived population in Guangxi, the longevous in Guangxi (Fengshan County, Donglan County, Shanglin County, Dahua County, and Cenxi City) and some of their descendants were recruited from 2016 to 2018. A semi-quantitative food frequency questionnaire (FFQ) was used to investigate their diet, routine physical examination indicators and blood sample analysis data of the long-lived population were collected, and the weight of the corresponding indicators obtained was calculated by the entropy weight method. Health composite index (HCI) was further introduced to conduct a comprehensive evaluation of health indicators, and stochastic forest regression algorithm was used to model the relationship between volunteers' food and nutrient intake and HCI, to explore the quantitative relationship between each parameter. The results of the model were evaluated by ‘Accuracy’. The results showed that BMI, hemoglobin, triglyceride and C-reactive protein were significantly different in different age groups. There were significant differences in food component intake and nutrient intake among different age groups (P