Cumulative Heat Exposure and Subclinical Cardiovascular Injury Biomarkers in 64,088 Adults

64,088 adults from Sichuan, China, participated in a retrospective cross-sectional study investigating the link between cumulative heat exposure and early cardiovascular injury. The dataset, authored by Tao Cheng and last updated in 2026, quantifies heat using a Cumulative Excess Heat Wave Index and measures subclinical injury via biomarkers like lipid remodeling markers, the Atherogenic Index of Plasma, and myocardial injury enzymes. It includes results from multivariable models and mediation analyses identifying key metabolic-inflammatory pathways.

Use Cases

• Modeling dose-response relationships between cumulative heat exposure and cardiovascular injury biomarkers.
• Conducting causal mediation analysis to identify metabolic-inflammatory pathways linking environmental stress to subclinical disease.
• Performing subgroup analyses to assess vulnerability factors like age and hypertension status.
• Developing early warning systems that integrate biomarker data, such as the Uric Acid-to-HDL Cholesterol Ratio, as a 'biological thermometer'.

Strengths

• Large sample size of 64,088 adult participants.
• Uses a novel, quantified heat exposure metric (Cumulative Excess Heat Wave Index).
• Analyzes a progressive cascade of multiple cardiovascular injury biomarkers.
• Includes results from advanced statistical methods like multivariable generalized linear models and causal mediation analysis.

Limitations

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

Provenance

Source

figshare

Collection Method

Large-scale, population-based retrospective cross-sectional study.

Freshness

Last updated 2026-05-07 05:42:45; freshness should be verified.

Geography

Sichuan, China