Ontology highlight
ABSTRACT: Background
Despite the growing number of mobile health (mHealth) interventions targeting childhood obesity, few studies have characterized user typologies derived from individuals' patterns of interactions with specific app features (digital phenotypes).Objective
This study aims to identify digital phenotypes among 214 parent-child dyads who used the Aim2Be mHealth app as part of a randomized controlled trial conducted between 2019 and 2020, and explores whether participants' characteristics and health outcomes differed across phenotypes.Methods
Latent class analysis was used to identify distinct parent and child phenotypes based on their use of the app's behavioral, gamified, and social features over 3 months. Multinomial logistic regression models were used to ass
SUBMITTER: De-Jongh Gonzalez O
PROVIDER: S-EPMC9221987 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature