Direct Effect Models of Depressive Symptoms in Older U.S. Adults

Data from 2,240 adults aged 65 or older from Wave 3 of the National Social Life, Health, and Aging Project (NSHAP) were analyzed. The dataset contains results from a mediation analysis investigating perceived neighborhood danger, insomnia symptoms, and depressive symptoms. It was authored by Seo-Yun Choi and last updated on 2026-05-07.

Use Cases

• Replicate mediation analysis of neighborhood danger on depression via insomnia symptoms based on the described statistical model.
• Study associations between environmental stressors and mental health in older populations based on the described variables.
• Benchmark models predicting depressive symptoms using sociodemographic and health covariates mentioned in the description.

Strengths

• Includes data from 2,240 adults, providing a substantial sample size for analysis.
• Analysis controls for sociodemographic and health covariates, as stated in the description.
• Results include specific statistical outputs (B=.04, 95% CI) from a bootstrap mediation analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 5.5 KB file size suggests a very limited scope, likely containing summary statistics rather than raw survey data.

Provenance

Source

Wave 3 of the National Social Life, Health, and Aging Project (NSHAP).

Collection Method

Survey data analyzed via multivariate and bootstrap mediation analysis.

Time Range

Wave 3 of NSHAP (specific years not provided in input).

Freshness

Last updated 2026-05-07 17:27:33; freshness should be verified.

Geography

United States (inferred from NSHAP).