<p>Threshold effect analysis.</p>

A cross-sectional study of 2,907 participants (556 with Severe Airflow Limitation) from the China Health and Retirement Longitudinal Study (CHARLS). It explores non-linear associations between lipid indices, frailty, and SAL, identifying thresholds and sociodemographic modifiers. The dataset was authored by Shuang Deng and last updated on 2026-04-29.

Use Cases

• Identify non-linear thresholds for lipid indices associated with Severe Airflow Limitation based on the described piecewise regression analysis.
• Examine effect modification by sociodemographic factors like education level based on the interaction analyses mentioned.
• Investigate the association between frailty phenotype and Severe Airflow Limitation based on the reported odds ratios.
• Compare disease prevalence between rural and urban populations based on the reported percentages.

Strengths

• Includes data from 2,907 participants, providing a substantial sample size for analysis.
• Contains 556 cases of Severe Airflow Limitation, enabling focused study of the condition.
• Analysis identifies specific quantitative thresholds, such as a residual cholesterol threshold of 0.329 mmol/L.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and demographic bias inherent to the CHARLS study sample.

Provenance

Source

China Health and Retirement Longitudinal Study (CHARLS)

Collection Method

Cross-sectional study using multivariate logistic regression, piecewise regression, and subgroup analysis.

Freshness

Last updated 2026-04-29 17:34:36; freshness should be verified.

Geography

China