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

Chinese college students' subjective well-being predictors synthesized from 34 studies published between 2018 and 2024. The dataset contains findings from a systematic review following PRISMA 2020 guidelines, covering 15,301 participants. It was authored by Jianmin He and last updated on 2026-04 16.

Use Cases

• Identify key predictors of student well-being based on the six primary predictive clusters mentioned, such as social support and resilience.
• Analyze longitudinal trends in well-being predictors based on findings from longitudinal and quasi-experimental studies in the sample.
• Model the relationship between familial cohesion and student happiness based on the review's findings for the post-pandemic recovery phase.
• Explore qualitative themes regarding digital temperance and self-identity based on the qualitative data synthesized in the review.

Strengths

• Follows PRISMA 2020 systematic review guidelines for methodological rigor.
• Synthesizes data from 34 studies with a total of 15,301 participants.
• Covers a defined time range of studies published between 2018 and 2024.

Limitations

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

Provenance

Source

figshare, authored by Jianmin He.

Collection Method

Systematic review of PubMed, Web of Science, and Scopus using PRISMA 2020 guidelines.

Time Range

2018 to 2024

Freshness

Last updated 2026-04-16 04:20:26; freshness should be verified.

Geography

China (focus on Chinese college students)