Systematic Review of College Student Well-Being Predictors, 2018-2024

Chinese college students' subjective well-being is analyzed in a systematic review of 34 studies with 15,301 participants. The review, conducted by Jianmin He and following PRISMA 2020 guidelines, synthesizes evidence from peer-reviewed literature published between 2018 and 2024. It identifies six primary predictive clusters, including social support and individual resilience, to inform mental health interventions.

Use Cases

• Identify key predictors of student mental health based on the six primary predictive clusters mentioned.
• Analyze longitudinal trends in well-being based on findings from longitudinal and quasi-experimental studies.
• Inform intervention design based on qualitative data elucidating challenges like digital temperance.
• Benchmark institutional mental health strategies against the synthesized empirical framework.

Strengths

• Systematic methodology following PRISMA 2020 guidelines and using JBI appraisal tools.
• Synthesizes findings from 34 studies comprising 15,301 participants.
• Covers a defined time range of literature published between 2018 and 2024.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to the focus on Chinese college students.

Provenance

Source

Jianman He via figshare.

Collection Method

Systematic review of PubMed, Web of Science, and Scopus using thematic synthesis.

Time Range

Studies published between 2018 and 2024.

Freshness

Last updated 2026-04-16 04:20:25; freshness should be verified.

Geography

Focus on Chinese college students.