Cardiometabolic Risk and Inflammatory Markers in Rural Ecuadorian Adults

Irina Chis Ster's dataset contains raw data for a cross-sectional analysis of 931 adults from ten rural agricultural communities in coastal Ecuador. The data includes sociodemographics, anthropometric measurements, biochemical risk factors, and inflammatory markers (CRP and total IgE) to examine associations with cardiometabolic diseases. The dataset was last updated on June 1, 2026.

Use Cases

• Examining associations between elevated CRP levels and hypertension, type 2 diabetes, and metabolic syndrome based on the study results.
• Investigating the role of total IgE as a marker of type 2 inflammation in cardiometabolic outcomes.
• Analyzing the mediating role of adiposity in the relationship between systemic inflammation and disease risk.
• Studying the prevalence of cardiometabolic risk factors like insulin resistance and dyslipidemia in a specific rural population.

Strengths

• Data from 931 adults provides a substantial sample size for a focused rural population study.
• Includes multiple measured variables: sociodemographics, anthropometrics, biochemical risk factors, and two specific inflammatory markers (CRP and IgE).
• Analysis accounted for clustering at household and community levels, suggesting a structured sampling approach.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment and requires manual inspection after download.
• The cross-sectional design limits the ability to infer causal relationships from the associations described.

Provenance

Source

Irina Chis Ster via figshare.

Collection Method

Data collected via standardized questionnaires, anthropometric measurements, and fasting blood samples from ten rural agricultural communities.

Freshness

Last updated 2026-06-01 17:34:56; freshness should be verified.

Geography

Coastal Ecuador (rural agricultural communities).