NHANES and CHARLS: Sarcopenia and Mortality Across CKM Stages

Supplementary Material for a study investigating the relationship between sarcopenia and mortality risk among middle-aged and older adults across cardiovascular-kidney-metabolic syndrome stages. The analysis uses data from the US National Health and Nutrition Examination Survey (NHANES) 2011–2018 and the China Health and Retirement Longitudinal Study (CHARLS) 2011–2020. It includes multivariable Cox regression, restricted cubic spline analysis, and machine learning models for mortality prediction.

Use Cases

• Predicting all-cause mortality risk using machine learning models developed on NHANES data.
• Analyzing the nonlinear relationship between BMI-adjusted muscle mass (ASMI) and cardiovascular mortality.
• Validating associations between sarcopenia and mortality using a separate longitudinal cohort (CHARLS).
• Conducting subgroup analyses across stages of cardiovascular-kidney-metabolic syndrome.

Strengths

• Analysis validated across two major longitudinal cohorts: NHANES and CHARLS.
• Machine learning models demonstrated predictive performance, with random forest achieving an AUC of 0.766.
• Dataset is licensed under CC-BY-4.0, facilitating open reuse.

Limitations

• Specific column names and row counts are not provided in the metadata.
• The dataset appears to be supplementary material (DOCX format), which may limit direct computational analysis.
• The listed size (136888) is ambiguous and may refer to file size rather than data records.

Provenance

Source

National Health and Nutrition Examination Survey (NHANES) and China Health and Retirement Longitudinal Study (CHARLS).

Collection Method

Multivariable Cox regression, restricted cubic spline analysis, and machine learning modeling.

Time Range

NHANES 2011–2018 and CHARLS 2011–2020.

Freshness

Last updated on 2026-03-19.

Geography

United States (NHANES) and China (CHARLS).