Henan Rural Cohort: Food Preferences, Inflammation, and Metabolic Syndrome Risk

Quanping Yan published a research dataset on 2026-05-14 containing data from 33,728 participants in the Henan Rural Cohort Study. The dataset supports a cross-sectional study investigating the mediating role of systemic inflammation between sour/spicy food preferences and metabolic syndrome (MetS). It includes questionnaire data on food preferences and measured inflammatory biomarkers such as SII, SIRI, and PIV.

Use Cases

• Analyze associations between sour/spicy food preferences and metabolic syndrome risk based on questionnaire data.
• Investigate the role of systemic inflammatory indices (SII, SIRI, PIV) as mediators between diet and health outcomes.
• Perform statistical mediation analysis to quantify the proportion of association explained by inflammation.
• Examine joint effects of high inflammation levels and specific food preferences on disease prevalence.

Strengths

• Dataset is derived from a large cohort of 33,728 participants.
• Includes multiple quantified inflammatory biomarkers (SII, SIRI, PIV) with reported odds ratios for MetS risk.
• Results include a quantified mediation effect, with inflammation explaining 5.3% to 14.6% of the observed associations.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset's 381.4 KB size suggests it may contain summary or analysis results rather than raw individual-level data.
• Geographic coverage is limited to rural Henan, China, which may limit generalizability.

Provenance

Source

Henan Rural Cohort Study

Collection Method

Cross-sectional study using questionnaires and biomarker measurement.

Freshness

Last updated 2026-05-14 14:06:04.

Geography

Rural Henan, China