CHARLS 2015: Sleep Duration, Hemoglobin, and Sarcopenic Obesity in Chinese Adults

Raw data from a 2015 study examining the association between sleep duration and sarcopenic obesity in middle-aged and older Chinese adults, with hemoglobin level as a mediating factor. The dataset, 615.9 KB in size, was authored by Xiaojiang Zhao and last updated in April 2026. It originates from the China Health and Retirement Longitudinal Study (CHARLS).

Use Cases

• Train logistic regression models to predict sarcopenic obesity risk based on sleep duration and hemoglobin levels.
• Conduct mediation analysis to quantify hemoglobin's indirect effect on the sleep-obesity relationship.
• Perform subgroup analysis to examine heterogeneity in associations across different demographic groups.
• Explore nonlinear relationships and threshold effects between sleep duration and health outcomes using spline fitting.

Strengths

• Data is sourced from the authoritative China Health and Retirement Longitudinal Study (CHARLS).
• Specific effect sizes are reported, such as a 9% decrease in SO odds per unit increase in sleep duration.
• The dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single year (2015), limiting longitudinal analysis.

Provenance

Source

China Health and Retirement Longitudinal Study (CHARLS) 2015.

Collection Method

Survey data analyzed with multivariate logistic regression and mediation models.

Time Range

2015

Freshness

Last updated 2026-04-27 17:23:21; freshness should be verified.

Geography

China