Measuring the influence of depressive symptoms on engagement, adherence, and weight loss in an eHealth intervention.

ABSTRACT:

Background

Digital behavior change interventions (eHealth, mHealth) are known to be capable of promoting clinically significant weight loss among some participants. However, these programs can struggle with declining engagement and adherence over time, which can hamper their effectiveness. This analysis examines the extent that depression symptoms may negatively influence engagement, adherence, and 6 month weight change in an eHealth intervention.

Methods

Structural equation modeling is applied to test the effects of baseline depression symptoms on weight change outcomes, mediated through latent constructs of engagement and adherence, respectively. These constructs were highly correlated within this dataset and necessitated two separate models to be tested. Engagement was in

SUBMITTER: Hurley L 

PROVIDER: S-EPMC11936179 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature