ArticleNPJ digital medicine2026
A multilevel meta-analysis of passive smartphone sensing of adolescent mental health.
Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Authors and funding
9 authors.
Funding
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Abstract
Adolescence is a critical developmental stage in which the risk of mental health problems peaks. Passive smartphone sensing offers valuable opportunities for moment-to-moment assessment of such risk. The amount of research is growing steadily, but a quantitative synthesis of the literature is lacking. Therefore, this meta-analysis evaluated the association between passive smartphone data (e.g., GPS, call logs, and notifications) and adolescents' (12-24 years) mental health outcomes across 45 independent samples (N = 2939). Findings revealed a small but significant overall effect (r = 0.12). Most passive data correlated with mental health outcomes, except for the number of contacts, while linguistic markers showed a significant negative correlation. Associations were not moderated by study design features or type of outcome, but were significantly stronger in non-student than in student samples. These results highlight passive smartphone sensing as a promising tool for assessing precursors of adolescent mental health and provide guidance for future research.
Identifiers
42174124What Socratic holds
Registered trials
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