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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Jun 30, 2024
Date Accepted: Jul 21, 2025

The final, peer-reviewed published version of this preprint can be found here:

Effect of a Cognitive Behavioral Therapy–Based AI Chatbot on Depression and Loneliness in Chinese University Students: Randomized Controlled Trial With Financial Stress Moderation

Wang Y, Li X, Zhang Q, Yeung D, Wu Y

Effect of a Cognitive Behavioral Therapy–Based AI Chatbot on Depression and Loneliness in Chinese University Students: Randomized Controlled Trial With Financial Stress Moderation

JMIR Mhealth Uhealth 2025;13:e63806

DOI: 10.2196/63806

PMID: 40882177

PMCID: 12396778

Effect of a CBT-Based AI Chatbot on Depression and Loneliness in Chinese University Students: A Randomized Controlled Trial with Financial Stress Moderation

  • Yahui Wang; 
  • Xuhong Li; 
  • Qiaochu Zhang; 
  • Dannii Yeung; 
  • Yihan Wu

ABSTRACT

Background:

Mental health concerns, particularly depression, anxiety, and loneliness, are prevalent among university students, with financial stress further compounding these issues. This study investigates the efficacy of a CBT-based AI chatbot in improving the well-being of financially stressed university students.

Objective:

This study investigates the efficacy of a CBT-based AI chatbot in improving the well-being of financially stressed university students.

Methods:

In this randomized controlled trial, 100 university students aged 18-24 years were randomly allocated to an intervention (n=50) or waitlist control group (n=50). The intervention group interacted with a CBT-based AI chatbot for seven consecutive days, receiving personalized support and coping strategies to alleviate psychological distress. Anxiety, depression, and loneliness were assessed at baseline, Day 3, and Day 7 using the Generalized Anxiety Disorder 7-item (GAD-7), Centre for Epidemiologic Studies Depression (CES-D), and UCLA Loneliness Scale.

Results:

Compared to controls, the intervention group showed significant reductions in depression (F = 8.48, p < .001) and loneliness (F = 4.69, p = .011) at Day 7 relative to baseline. GAD-7 scores did not show significant changes. The chatbot's effectiveness was moderated by financial stress, with participants with high baseline financial stress (PIFS scores above the median) demonstrating greater improvements in CES-D (F = 11.56, p < .001) and UCLA Loneliness scores (F = 11.18, p < .001) compared to those with low financial stress.

Conclusions:

The CBT-based AI chatbot effectively reduced depression and loneliness in financially stressed university students. AI-driven interventions show promise in improving student mental health, especially for those facing financial hardship.


 Citation

Please cite as:

Wang Y, Li X, Zhang Q, Yeung D, Wu Y

Effect of a Cognitive Behavioral Therapy–Based AI Chatbot on Depression and Loneliness in Chinese University Students: Randomized Controlled Trial With Financial Stress Moderation

JMIR Mhealth Uhealth 2025;13:e63806

DOI: 10.2196/63806

PMID: 40882177

PMCID: 12396778

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