{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T16:21:46Z","timestamp":1792426906634,"version":"4.5.0"},"reference-count":69,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Mhealth Uhealth"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Mental health concerns are prevalent among university students, with financial stress further compounding these issues. While cognitive behavioral therapy (CBT) is effective for these conditions, its delivery through artificial intelligence (AI) chatbots represents a promising approach, especially in non-Western contexts.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study aims to investigate the efficacy of a culturally adapted, CBT-based AI chatbot for improving the well-being of Chinese university students and to examine whether financial stress moderates its effectiveness.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n In this randomized controlled trial, 100 university students (mean age 20.8, SD 2.2 years; 62\/100, 62% female) were allocated to either an intervention (n=50) or a waitlist control group (n=50). The intervention group interacted with a CBT-based AI chatbot for 7 consecutive days. Depression (Center for Epidemiologic Studies Depression Scale), anxiety (Generalized Anxiety Disorder-7 scale), and loneliness (UCLA Loneliness Scale) were assessed at baseline, day 3, and day 7. Financial stress was measured using the Psychological Inventory of Financial Scarcity.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Significant group\u00d7time interactions were found for depression (\n F<\/jats:italic>\n 2,196<\/jats:sub>\n =8.63;\n P<\/jats:italic>\n <.001;\n \u03b7<\/jats:italic>\n \u00b2\n p<\/jats:sub>\n =.08) and loneliness (\n F<\/jats:italic>\n 2,196<\/jats:sub>\n =5.57;\n P<\/jats:italic>\n =.004;\n \u03b7<\/jats:italic>\n \u00b2\n p<\/jats:sub>\n =.05), but not for anxiety (\n F<\/jats:italic>\n 2,196<\/jats:sub>\n =1.31;\n P<\/jats:italic>\n =.27;\n \u03b7<\/jats:italic>\n \u00b2\n p<\/jats:sub>\n =.01). Post hoc comparisons showed significant reductions in both depression (\n t<\/jats:italic>\n =3.85;\n P<\/jats:italic>\n <.001) and loneliness (\n t<\/jats:italic>\n =4.28;\n P<\/jats:italic>\n <.001) from baseline to postintervention in the intervention group, with corresponding effect sizes of Cohen\n d<\/jats:italic>\n =0.71 (95% CI 0.30\u20101.12) and Cohen\n d<\/jats:italic>\n =0.60 (95% CI 0.20\u20101.00), respectively. No significant changes were observed in the waitlist control group. Exploratory subgroup analyses revealed that participants with high financial stress demonstrated significantly greater improvements in depression (\n F<\/jats:italic>\n 2,52<\/jats:sub>\n =11.56;\n P<\/jats:italic>\n <.001;\n \u03b7<\/jats:italic>\n \u00b2\n p<\/jats:sub>\n =.31) and loneliness (\n F<\/jats:italic>\n 2,52<\/jats:sub>\n =11.18;\n P<\/jats:italic>\n <.001;\n \u03b7<\/jats:italic>\n \u00b2\n p<\/jats:sub>\n =.30) compared to those with low financial stress.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The culturally adapted, CBT-based AI chatbot effectively reduced depression and loneliness in Chinese university students, with stronger effects among those experiencing high financial stress. These findings highlight the potential of AI-driven interventions to provide accessible mental health support, particularly for financially stressed students.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/63806","type":"journal-article","created":{"date-parts":[[2025,7,21]],"date-time":"2025-07-21T22:50:09Z","timestamp":1753138209000},"page":"e63806-e63806","source":"Crossref","is-referenced-by-count":28,"title":["Effect of a Cognitive Behavioral Therapy\u2013Based AI Chatbot on Depression and Loneliness in Chinese University Students: Randomized Controlled Trial With Financial Stress 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