This study used meta-analysis to systematically analyze the results of a survey on the mental health of Chinese college students since 2010. The research background emphasizes the importance of mental health issues for college students and the Chinese Ministry of Education's emphasis on mental health education. The research design includes literature search, screening, coding and processing, as well as calculation of effect values and heterogeneity testing. The literature search strategy is limited to the Web of Science database, and the screening criteria include using the SCL-90 questionnaire, conducting surveys after 2010, having complete data, and targeting Chinese college students. Finally, 30 articles were included for analysis. The research results show that there is significant heterogeneity among Chinese college students in multiple dimensions of the SCL-90 scale, indicating that the variation in research results may be caused by multiple factors. The publication bias test found that the dimensions of somatization (SOM) and anxiety (ANX) may be affected by publication bias, while other dimensions such as depression (DEP), hostility (HOS), and psychoticism (PSY) have less impact. The study discussed the reasons for heterogeneity, including differences in study design, sample characteristics, measurement tools, and possible bias in selective reporting. The limitations of the study include the limitations of literature search scope and the impact of publication bias. Future research should expand the scope of retrieval, construct meta-analysis databases, and conduct more empirical investigations for dynamic comparison and validation. The research results provide valuable reference information for the mental health education of Chinese college students and scientific basis for the development of new SCL-90 norms.

Xue Wu. Meta Analysis of the Psychological Health Survey Results of Chinese College Students Since 2010. Frontiers in Educational Research (2024) Vol. 7, Issue 11: 178-185. https://doi.org/10.25236/FER.2024.071128.

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