Latent class growth modelling for the evaluation of intervention outcomes: example from a physical activity intervention.

ABSTRACT: Intervention studies often assume that changes in an outcome are homogenous across the population, however this assumption might not always hold. This article describes how latent class growth modelling (LCGM) can be performed in intervention studies, using an empirical example, and discusses the challenges and potential implications of this method. The analysis included 110 young adults with mobility disability that had participated in a parallel randomized controlled trial and received either a mobile app program (n = 55) or a supervised health program (n = 55) for 12 weeks. The primary outcome was accelerometer measured moderate to vigorous physical activity (MVPA) levels in min/day assessed at baseline, 6 weeks, 12 weeks, and 1-year post intervention. The mean change of MVPA from basel

SUBMITTER: Lampousi AM 

PROVIDER: S-EPMC8484241 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature