Common and differential variables of anxiety and depression in adolescence: a nation-wide smartphone-based survey.

ABSTRACT:

Background

Mental health in adolescence is critical in its own right and a predictor of later symptoms of anxiety and depression. To address these mental health challenges, it is crucial to understand the variables linked to anxiety and depression in adolescence.

Methods

Here, we analyzed data of 278 adolescents that were collected in a nation-wide survey provided via a smartphone-based application during the COVID-19 pandemic. We used an elastic net regression machine-learning approach to classify individuals with clinically relevant self-reported symptoms of depression or anxiety. We then identified the most important variables with a combination of permutation feature importance calculation and sequential logistic regressions.

Results

40.30% of participants reporte

SUBMITTER: Weiß M 

PROVIDER: S-EPMC11330155 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature