Logistic Regression Results for Depression Factors Among Nursing Students in Eastern China

Multivariable binary logistic regression results identify factors associated with subthreshold depression among vocational nursing students in eastern China. The 13.5 KB XLS file was authored by Ruoying Cheng and last updated on April 20, 2026. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Identify risk factors for subthreshold depression based on the logistic regression results.
• Model the association between demographic or lifestyle variables and mental health outcomes among students.
• Benchmark or validate similar studies on vocational student populations in other regions.

Strengths

• Specific focus on subthreshold depression, a less-studied condition.
• Results from a multivariable binary logistic regression model.
• Clear attribution to author Ruoying Cheng with a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 13.5 KB size suggests a very limited scope, likely containing only summary statistics.

Provenance

Source

figshare, author Ruoying Cheng.

Collection Method

Likely results from a survey or observational study of vocational nursing students.

Time Range

null

Freshness

Last updated 2026-04-20 17:36:45; freshness should be verified.

Geography

Eastern China.