Scholarlink

<p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月17日

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

摘要

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.