Predictors of depression outcomes among university students following brief smartphone-based interventions

Smartphone-delivered interventions offer a scalable solution for university students experiencing depression, yet outcomes remain inconsistent. This study examined predictors of depression remission and response in the AI-enhanced Vibe Up adaptive trial of brief smartphone-based interventions in 1282 Australian university students (mean age 23.52 years; 78.39% women) with elevated distress (Kessler-10 ≥ 20). After a two-week monitoring period, participants were randomised to two-week self-guided smartphone-based interventions targeting sleep hygiene, mindfulness, physical activity, or an ecological momentary assessment control intervention. Predictors of depression remission (DASS-21 in normal range) and response (≥50% reduction) were examined using hierarchical logistic regression. At post-intervention, 40.87% achieved remission and 29.88% showed response. Baseline depression severity, quality of life, general practitioner visits, and pre-intervention credibility predicted remission and/or response across all intervention arms. Higher baseline anxiety specifically predicted poorer remission in the sleep hygiene arm. Individual factors modestly predicted outcomes. Trajectory-based predictors may be needed to improve outcome prediction.

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Publication Details

Journal
npj Mental Health Research
Published
2026-04-17
DOI
https://doi.org/10.1038/s44184-026-00208-3
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00

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article

Predictors of depression outcomes among university students following brief smartphone-based interventions

Henry Cutler, Eileen Stech, Kit Huckvale, Stuart Cameron et al.
npj Mental Health Research
Digital Mental Health Interventions
article

Predictors of depression outcomes among university students following brief smartphone-based interventions

Henry Cutler, Eileen Stech, Kit Huckvale, Stuart Cameron, Akash Agarwal, Julian Berk, Rajesh Vasa, Joanne R. Beames, Jin Han, Leonard Hoon, Rena Logothetis, Kon Mouzakis, Svetha Venkatesh, Joost Funke Kupper, Joshua Asbury, Artur Shvetcov, Simon Rosenbaum, Manisha Senadeera, Aimy Slade, Xuanchen Liu, Helen Christensen, Jill Newby, Alexis E. Whitton, Omar Dabash, Aliza Werner-Seidler, Andrew Mackinnon, Stefanus Kurniawan, Sunil Gupta, WuYi Zheng
article en

Abstract

Smartphone-delivered interventions offer a scalable solution for university students experiencing depression, yet outcomes remain inconsistent. This study examined predictors of depression remission and response in the AI-enhanced Vibe Up adaptive trial of brief smartphone-based interventions in 1282 Australian university students (mean age 23.52 years; 78.39% women) with elevated distress (Kessler-10 ≥ 20). After a two-week monitoring period, participants were randomised to two-week self-guided smartphone-based interventions targeting sleep hygiene, mindfulness, physical activity, or an ecological momentary assessment control intervention. Predictors of depression remission (DASS-21 in normal range) and response (≥50% reduction) were examined using hierarchical logistic regression. At post-intervention, 40.87% achieved remission and 29.88% showed response. Baseline depression severity, quality of life, general practitioner visits, and pre-intervention credibility predicted remission and/or response across all intervention arms. Higher baseline anxiety specifically predicted poorer remission in the sleep hygiene arm. Individual factors modestly predicted outcomes. Trajectory-based predictors may be needed to improve outcome prediction.

npj Mental Health ResearchVol. 5(1)
The University of Sydney (AU), Deakin University (AU), The University of Melbourne (AU), Black Dog Institute (AU), New York University Shanghai (CN), UNSW Sydney (AU), Westmead Institute for Medical Research (AU), Macquarie University (AU), KU Leuven (BE)
National Health and Medical Research Council, Medical Research Future Fund
No poverty
Openalex Percentile: Top 19%
Digital Mental Health Interventions
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