Liu Xin-Qiao, Guo Yu-Xin, Xu Yi
School of Education, Tianjin University, Tianjin 300350, China.
World J Clin Cases. 2023 Mar 6;11(7):1442-1457. doi: 10.12998/wjcc.v11.i7.1442.
The worldwide prevalence of anxiety disorders among college students is high, which negatively affects countries, schools, families, and individual students to varying degrees. This paper reviews the relevant literature regarding risk factors and digital interventions for anxiety disorders among college students from the perspectives of different stakeholders. Risk factors at the national and societal levels include class differences and the coronavirus disease 2019 pandemic. College-level risk factors include the indoor environment design of the college environment, peer relationships, student satisfaction with college culture, and school functional levels. Family-level risk factors include parenting style, family relationship, and parental level of education. Individual-level risk factors include biological factors, lifestyle, and personality. Among the intervention options for college students' anxiety disorders, in addition to traditional cognitive behavioral therapy, mindfulness-based interventions, psychological counseling, and group counseling, digital mental health interventions are increasingly popular due to their low cost, positive effect, and convenient diagnostics and treatment. To better apply digital intervention to the prevention and treatment of college students' anxiety, this paper suggests that the different stakeholders form a synergy among themselves. The nation and society should provide necessary policy guarantees, financial support, and moral and ethical supervision for the prevention and treatment of college students' anxiety disorders. Colleges should actively participate in the screening and intervention of college students' anxiety disorders. Families should increase their awareness of college students' anxiety disorders and take the initiative to study and understand various digital intervention methods. College students with anxiety disorders should actively seek psychological assistance and actively accept and participate in digital intervention projects and services. We believe that in the future, the application of methods such as big data and artificial intelligence to improve digital interventions and provide individualized treatment plans will become the primary means of preventing and treating anxiety disorders among college students.
大学生焦虑症在全球范围内的患病率很高,这在不同程度上对国家、学校、家庭和学生个人产生负面影响。本文从不同利益相关者的角度回顾了有关大学生焦虑症风险因素和数字干预措施的相关文献。国家和社会层面的风险因素包括阶级差异和2019冠状病毒病疫情。大学层面的风险因素包括大学环境的室内环境设计、同伴关系、学生对大学文化的满意度以及学校功能水平。家庭层面的风险因素包括教养方式、家庭关系和父母教育水平。个人层面的风险因素包括生物因素、生活方式和性格。在大学生焦虑症的干预选项中,除了传统的认知行为疗法、正念干预、心理咨询和团体咨询外,数字心理健康干预因其成本低、效果好以及诊断和治疗方便而越来越受欢迎。为了更好地将数字干预应用于大学生焦虑症的预防和治疗,本文建议不同利益相关者之间形成协同效应。国家和社会应为大学生焦虑症的预防和治疗提供必要的政策保障、资金支持以及道德和伦理监督。大学应积极参与大学生焦虑症的筛查和干预。家庭应提高对大学生焦虑症的认识,并主动学习和了解各种数字干预方法。患有焦虑症的大学生应积极寻求心理帮助,并积极接受和参与数字干预项目和服务。我们相信,未来应用大数据和人工智能等方法来改进数字干预并提供个性化治疗方案将成为预防和治疗大学生焦虑症的主要手段。