ChinaHEART-Luohe Cohort: Body Roundness Index and WHO Cardiovascular Risk

Baseline data from 6,858 adults aged 35–75 years in the Luohe, Henan, China screening cohort from March 2021 to February 2022. The dataset was used to examine the association between the body roundness index (BRI) and World Health Organization-defined high cardiovascular disease risk. The study applied multivariable logistic regression and an explainable machine-learning workflow including LASSO, random forest, and SHAP.

Use Cases

• Evaluating the predictive value of body roundness index (BRI) for cardiovascular risk based on WHO risk charts.
• Training explainable machine learning models (e.g., random forest) for risk classification using features like BRI, sex, and cardiometabolic strata.
• Conducting subgroup analyses to investigate heterogeneity in risk associations by demographic factors mentioned in the description.

Strengths

• Includes data from 6,858 participants, with 1,489 (22%) classified as high cardiovascular risk.
• Data collection is documented as part of a defined community-based screening program (ChinaHEART cohort) over a one-year period.
• Analysis methods are detailed, including ROC analysis with bootstrap confidence intervals and an explainable ML workflow.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown for the underlying data table, which may limit suitability assessment.
• The dataset is very small (27.8 KB), indicating limited scope, likely containing summary or model results rather than raw participant data.

Provenance

Source

figshare, author Zhiwei Huang.

Collection Method

Cross-sectional study using baseline data from the Luohe branch of the ChinaHEART community-based health screening program.

Time Range

March 2021 to February 2022

Freshness

Last updated 2026-04-21 04:13:11; freshness should be verified.

Geography

Luohe, Henan, China