Unknown

Dataset Information

Sugar intake trajectories in adolescents: Evaluating behavioral change with group-based trajectory modeling.


ABSTRACT:

Background

Sugar intake through sugar-sweetened beverages (SSBs) remains a major public health concern among adolescents. Tailored dietary interventions have garnered interest for promoting sustainable behavior change, yet traditional pre-post designs often overlook the temporal complexity of individual adaptation. This study applied a trajectory-based approach to assess how adolescents' sugar intake trajectories evolved in response to an intake-based tailored intervention.

Methods

A secondary analysis was conducted on data from a 14-day chatbot intervention (CRIS, KCT0008114) aimed at reducing sugar intake among adolescents. Group-based trajectory modeling (GBTM) was used to identify distinct intake trajectories. A linear mixed-effects model examined the impact of tailored

SUBMITTER: Lee J 

PROVIDER: S-EPMC12483263 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature