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Systematic review identifies predictors of well-being in 15,301 Chinese college studentsStudy finds social support and resilience linked to well-being among Chinese college students

AI-generated summary of the cited source, checked by automated accuracy review. How we work

Key Takeaway
Consider using identified predictors like social support to guide mental health interventions for Chinese college students.

This systematic review examines predictors of subjective well-being within a cohort of 15,301 Chinese college students. The scope of the analysis encompasses various factors influencing student mental health, though specific intervention details or comparators are not reported in the source material. The review aims to inform strategies for supporting student welfare in higher education settings.

The authors synthesize key findings by revealing six primary predictive clusters associated with subjective well-being. These clusters include social support, interpersonal dynamics, physical activity, and individual resilience. Additionally, the review highlights familial cohesion, leisure crafting, and adaptive coping strategies as sustained predictors of happiness during the post-pandemic recovery phase. No specific effect sizes, absolute numbers, or p-values are reported for these outcomes.

Safety data, including adverse events or tolerability, were not reported in the source. The authors note that the review provides an empirical framework to guide higher education administrators and policymakers in developing targeted mental health interventions tailored to evolving academic environments. Limitations regarding causality or specific study settings are not explicitly detailed in the provided text.

The practice relevance of this review lies in its ability to offer a structured approach for mental health support. It suggests that administrators can utilize these identified predictors to design interventions that address the specific needs of the student population. However, the absence of reported effect sizes or specific study settings limits the direct quantitative application of these findings to other contexts.

Researchers examined data from a large group of 15,301 Chinese college students to understand what influences their feelings of well-being. This systematic review looked for patterns across the collected information without testing specific interventions on the students themselves. The study was conducted to help higher education administrators and policymakers design better mental health support systems for students facing changing academic pressures.

The analysis revealed six main groups of factors that predict well-being. These include strong social support, positive interpersonal relationships, regular physical activity, and personal resilience. For maintaining happiness during the post-pandemic recovery phase, the study highlighted the importance of family cohesion, creative leisure activities, and flexible ways of handling stress. These findings suggest which areas might be most helpful to focus on when building support programs.

While the results offer a useful framework for developing targeted mental health interventions, readers should remember that this is a review of existing data. The study does not report safety concerns because it did not test a medical treatment or drug. It is important to note that this research describes associations rather than proving that one thing causes another. The findings are specific to this population and setting, so they may not apply to everyone.

What this means for you:
Social support and resilience are linked to well-being in Chinese college students, offering a framework for educators.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
BackgroundThe COVID-19 pandemic significantly affected the mental health of university populations, necessitating a systematic synthesis of the predictors of subjective well-being among Chinese college students.MethodsFollowing PRISMA 2020 guidelines, the researchers searched PubMed, Web of Science, and Scopus for peer-reviewed studies published between 2018 and 2024, completing the final search on December 30, 2024. Methodological quality was evaluated using design-specific JBI appraisal tools to accommodate the diverse longitudinal, quasi-experimental, qualitative, and cross-sectional methodologies within the sample. The analytic process utilized a two-stage thematic synthesis involving deductive data extraction followed by inductive theme generation to maintain methodological precision.ResultsThe final sample included 34 studies comprising 15,301 participants and revealed six primary predictive clusters for well-being, including social support, interpersonal dynamics, physical activity, and individual resilience. Longitudinal and quasi-experimental findings indicate that familial cohesion, leisure crafting, and adaptive coping strategies are sustained predictors of happiness during the post-pandemic recovery phase. Qualitative data further elucidate subjective challenges regarding digital temperance and the construction of self-identity in virtual environments.ConclusionThis study provides an empirical framework to guide higher education administrators and policymakers in developing targeted mental health interventions tailored to evolving academic environments.
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