Dataset Information

Latent class analysis of obesity-related characteristics and associations with body mass index among young children.

ABSTRACT:

Objective

Identifying how obesity-related characteristics cluster in populations is important to understand disease risk. Objectives of this study were to identify classes of children based on obesity-related variables and to evaluate the associations between the identified classes and overweight and obesity.

Methods

A cross-sectional study was conducted among children 3-11 years of age (n = 5185) from the TARGet Kids! network (2008-2018). Latent class analysis was used to identify distinct classes of children based on 15 family, metabolic, health behaviours and school-related variables. Associations between the identified latent classes and overweight and obesity were estimated using multinomial logistic regression.