摘要
随着高校学生心理健康问题的不断凸显,高校抑郁症的筛查和预警成为了一项紧迫的任务。本文旨在对高校抑郁症筛查及预警的相关研究进行综述,总结当前的研究进展并探讨未来的发展方向。首先,本文介绍了目前常用的高校抑郁症筛查工具。这些工具包括自评量表、问卷调查和面谈等,其中包括Beck抑郁自评量表、症状自评量表和抑郁症诊断访谈表等。这些工具能够有效地帮助高校对抑郁症进行筛查和评估,识别潜在的抑郁症患者。其次,本文探讨了高校抑郁症预警的方法和技术。近年来,借助大数据和人工智能技术,高校抑郁症的预警研究得到了长足的发展。基于学生的社交媒体活动、学习行为和心理健康数据等信息,研究者们提出了各种预警模型和算法。这些方法可以及早识别潜在的抑郁症学生,为他们及时提供干预和支持。最后,本文讨论了高校抑郁症筛查及预警研究面临的一些挑战和未来的发展方向。这些挑战包括数据隐私和伦理问题、预警模型的准确性和有效性等。未来的研究可以进一步改进筛查工具和预警算法,结合多种数据源及多种方法进行综合评估和干预。
With the growing prominence of mental health issues among college students,the screening and early warning of depression in universities have become an urgent task.This article aims to provide a review of relevant research on the screening and early warning of depression in universities,summarize the current research progress,and explore future directions.Firstly,this article introduces commonly used screening tools for depression in universities.These tools include self-assessment scales,questionnaires,and interviews,such as the Beck Depression Inventory,Symptom Checklist,and Depression Diagnosis Interview.These tools can effectively assist universities in screening and assessing depression,identifying potential depression sufferers.Secondly,this article discusses methods and technologies for the early warning of depression in universities.In recent years,with the aid of big data and artificial intelligence technologies,research on the early warning of depression in universities has made significant progress.Researchers have proposed various early warning models and algorithms based on students'social media activities,learning behaviors,and mental health data.These methods can identify potential depression students early on,providing timely intervention and support.Finally,this article discusses the challenges and future directions of research on the screening and early warning of depression in universities.These challenges include data privacy and ethical issues,as well as the accuracy and effectiveness of early warning models.Future research can further improve screen-ing tools and early warning algorithms,combining multiple data sources and methods for com-prehensive assessment and intervention.
作者
王佰川
吴霏
钟晓利
Wang Baichuan;Wu Fei;Zhong Xiaoli(Panzhihua University,Panzhihua,Sichuan,617000,China)
出处
《青岛医药卫生》
2024年第1期72-75,共4页
Qingdao Medical Journal
基金
王佰川-2023-基于“三全育人”理念的辅导员+班主任协同育人研究—以攀枝花学院为例2023SZYB014
钟晓利-2022-“体医融合”视域下城市社区老年健康护理服务研究YLKYYB2206[035001829]。
关键词
抑郁症
大学生
筛查
预警
Depression
college students
screening
early warning
