ArticleScientific reports2026
Mediation role of artificial intelligence exposure in adverse childhood experiences: related mental health risks among college students.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A bibliometric analysis of global research trends and emerging hotspots on suicide and depression among children and adolescents.Discover mental health · 2026Review
- Adverse childhood experiences and cyber aggression among college students: the mediating role of psychological resilience and the moderating role of physical exercise.Frontiers in psychiatry · 2026Article
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9 authors.
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Abstract
Adverse childhood experiences (ACEs) pose significant mental health risks, and the greater the number of ACEs one has, the more pronounced the subsequent mental health issues become. In today's world, the widespread application of artificial intelligence raises questions about its role in mediating the impact of ACEs on mental health, which remains unclear. Data were collected through questionnaire surveys from April to May 2025. Participants' psychosocial characteristics were assessed using validated scales measuring stress, anxiety, depression, ACEs status, loneliness, sleep quality, and suicidal ideation. Data analysis incorporated propensity score matching and causal mediation analysis. Among participants, 794 (29%) reported ACE exposure. ACEs significantly impact loneliness, stress, anxiety, suicidal ideation, and depressive symptoms, with mediation of AI usage. Specifically, the total effect on loneliness is 0.24 (95% CI 0.18-0.31; P < 0.001), with a mediating effect proportion of 5.2%; the total effect on stress is 0.71 (95% CI 0.56-0.88; P < 0.001), with a mediating effect proportion of 4.4%; the total effect on anxiety symptoms is 0.65 (95% CI 0.51-0.81; P < 0.001), with a mediating effect proportion of 4.9%; the total effect on suicidal ideation is 0.07 (95% CI 0.06-0.09; P < 0.001), with a mediating effect proportion of 2.6%; and the total effect on depressive symptoms is 0.60 (95% CI 0.46-0.76; P < 0.001), with a mediating effect proportion of 5.4%. Findings highlight the critical mediating role of social AI in mental health outcomes among ACE-affected individuals.
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