Albikawi Zainab, Abuadas Mohammad, Rayani Ahmad M
Faculty of Nursing, Yarmouk University, Irbid P.O. Box 566, Jordan.
Community and Psychiatric Mental Health Nursing Department, College of Nursing, King Saud University, Riyadh City P.O. Box 12372, Saudi Arabia.
Healthcare (Basel). 2025 May 7;13(9):1089. doi: 10.3390/healthcare13091089.
: The integration of artificial intelligence (AI) into mental health care is reshaping psychological support systems, particularly for digitally literate populations such as nursing students. Given the high prevalence of anxiety and depression in this group, understanding their perceptions of AI-driven mental health support is critical for effective implementation. : to evaluate nursing students' perceptions toward AI-driven mental health support and examine its relationship with anxiety, depression, and their attitudes to seeking professional psychological help. : A cross-sectional survey was conducted among 176 undergraduate nursing students in northern Jordan. : Students reported moderately positive perceptions toward AI-driven mental health support (mean score: 36.70 ± 4.80). Multiple linear regression revealed that prior use of AI tools (β = 0.44, < 0.0001), positive help-seeking attitudes (β = 0.41, < 0.0001), and higher levels of psychological distress encompassing both anxiety (β = 0.29, = 0.005) and depression (β = 0.24, = 0.007) significantly predicted more positive perceptions. Daily AI usage was not a significant predictor (β = 0.15, = 0.174). Logistic regression analysis further indicated that psychological distress, reflected by elevated anxiety (OR = 1.42, = 0.002) and depression scores (OR = 1.32, = 0.003), along with stronger help-seeking attitudes (OR = 1.35, = 0.011), significantly increased the likelihood of using AI-based mental health support. : AI-driven mental health tools hold promises as adjuncts to traditional counseling, particularly for nursing students experiencing psychological distress. Despite growing acceptance, concerns regarding data privacy, bias, and lack of human empathy remain. Ethical integration and blended care models are essential for effective mental health support.
将人工智能（AI）融入精神卫生保健正在重塑心理支持系统，尤其是对于像护理专业学生这样具备数字素养的人群。鉴于该群体中焦虑和抑郁的高患病率，了解他们对人工智能驱动的精神卫生支持的看法对于有效实施至关重要。：评估护理专业学生对人工智能驱动的精神卫生支持的看法，并研究其与焦虑、抑郁以及他们寻求专业心理帮助的态度之间的关系。：对约旦北部的176名本科护理专业学生进行了横断面调查。：学生们对人工智能驱动的精神卫生支持的看法较为积极（平均得分：36.70±4.80）。多元线性回归显示，先前使用人工智能工具（β = 0.44，<0.0001）、积极的求助态度（β = 0.41，<0.0001）以及包括焦虑（β = 0.29，= 0.005）和抑郁（β = 0.24，= 0.007）在内的更高水平的心理困扰显著预测了更积极的看法。每日使用人工智能并非显著预测因素（β = 0.15，= 0.174）。逻辑回归分析进一步表明，焦虑（OR = 1.42，= 0.002）和抑郁得分升高（OR = 1.32，= 0.003）所反映的心理困扰，以及更强的求助态度（OR = 1.35，= 0.011），显著增加了使用基于人工智能的精神卫生支持的可能性。：人工智能驱动的精神卫生工具有望成为传统咨询的辅助手段，尤其是对于经历心理困扰的护理专业学生。尽管接受度不断提高，但对数据隐私、偏见和缺乏人文关怀的担忧依然存在。道德整合和混合护理模式对于有效的精神卫生支持至关重要。
