Application of Linear Mixed Model Tree in Longitudinal Trajectory of Body Mass Index

VernacularTitle:基于线性混合模型树在体质指数纵向轨迹中的应用
Author: Yiteng ZANG ¹ ; Sizhen CHEN ; Beier LU
Author Information

1. 东南大学公共卫生学院流行病与卫生统计系(210009)
Keywords: Body mass index; Linear mixed model trees; Longitudinal data
From: Chinese Journal of Health Statistics 2024;41(1):41-44
CountryChina
Language:Chinese
Abstract: Objective To understand the trajectory and classification of adult body mass index(BMI)in Jiangsu Province.Methods Based on China Health and Nutrition Survey,this study used the linear mixed model tree to explore the trajectory and classification of BMI of people aged 18-65 in Jiangsu Province.Results The linear mixed model tree had 13 nodes and the depth was 6.The classification nodes were baseline BMI,average calorie intake and baseline age.Conclusion The linear mixed model tree can identify the trajectory of BMI and expand the research method of longitudinal data.