Chatbot-Based Mindfulness-Based Stress Reduction Program for University Students With Depressive Symptoms:
Yan Li1, Tsz Yu Chung2, Wenze Lu3
1Yan Li, PhD, The Hong Kong Polytechnic University, Hong Kong SAR, China.
A chatbot delivering Mindfulness-Based Stress Reduction (MBSR) is feasible and effective for reducing depression in university students. This digital mental health tool shows promise for accessible psychosocial support.
Area of Science:
- Digital mental health interventions
- Psychosocial support technologies
- Student wellness programs
Background:
- University student depression is a significant concern.
- Chatbots offer accessible, personalized mental health support.
- Mindfulness-Based Stress Reduction (MBSR) may alleviate depressive symptoms.
Purpose of the Study:
- Evaluate a chatbot-based MBSR intervention for feasibility, acceptability, safety, and preliminary efficacy.
- Assess the impact on depressive symptoms in university students.
- Gather participant feedback on the digital mental health tool.
Main Methods:
- A rule-based MBSR chatbot was developed.
- A single-group pretest-posttest study was conducted with 30 Hong Kong university students.
- An eight-week intervention with pre- and post-intervention assessments of depression and secondary outcomes.
Main Results:
- High recruitment, retention, and adherence rates were achieved.
- The intervention was safe, with no adverse events.
- Significant improvements in primary and secondary outcomes were observed, supported by positive participant feedback.
Conclusions:
- Chatbot-delivered MBSR is feasible, acceptable, safe, and shows preliminary efficacy in reducing student depression.
- Further evaluation in a randomized controlled trial is recommended.
- This highlights the potential of digital interventions for mental health promotion in higher education.
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