This paper aims to explore and construct an early warning and intervention mechanism for college students' mental health issues. With the popularization of higher education and increasing contemporary social pressures, college students face more and more mental health challenges, including anxiety disorders, depression, and adjustment disorders. In order to effectively address this issue, this study proposes a comprehensive warning system and targeted intervention measures through analysis. The warning system relies on real-time monitoring of multidimensional indicators such as emotional fluctuations, changes in social behavior, and academic performance, combined with data analysis technology, to achieve early identification of mental health risks. In the design of intervention measures, the paper emphasizes a tiered implementation strategy for primary, secondary, and tertiary interventions, and discusses in detail the specific content and implementation methods of each level of intervention measures. In addition, this study also establishes a set of evaluation and feedback mechanisms for intervention effects to ensure the effectiveness and continuous optimization of intervention measures. Through the implementation of this research, it is expected to provide college students with a more sound and effective psychological support system, promoting their psychological well-being and academic achievement.

Mali Quan. Construction of Early Warning and Intervention Mechanisms for College Students' Mental Health Issues. Academic Journal of Humanities & Social Sciences (2024) Vol. 7, Issue 5: 224-229. https://doi.org/10.25236/AJHSS.2024.070536.

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