Associations of longitudinal BMI percentile classification patterns in early childhood with neighborhood-level social determinants of health.

ABSTRACT:

Background

Understanding social determinants of health (SDOH) that may be risk factors for childhood obesity is important to developing targeted interventions to prevent obesity. Prior studies have examined these risk factors, mostly examining obesity as a static outcome variable.

Objectives

This study aimed to identify distinct subpopulations based on BMI percentile classification or changes in BMI percentile classifications over time and explore these longitudinal associations with neighborhood-level SDOH factors in children from 0 to 7 years of age.

Methods

Using Latent Class Growth (Mixture) Modelling (LCGMM) we identify distinct BMI% classification groups in children from 0 to 7 years of age. We used multinomial logistic regression to study associations between S

SUBMITTER: Gupta M 

PROVIDER: S-EPMC10312866 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature