Key result
Blood triglycerides show the strongest link to hs-CRP levels, modified by regional environmental factors.
Why the study?
The role of the regional environment and its combined effects with individual factors on cardiovascular risk predictors remain unclear.
Cross-Sectional (n=10,308)
Yes
Individual and regional environmental factors, including air pollution and socioeconomic status, interact to significantly influence hs-CRP levels in middle-aged and older Chinese adults, with effects varying by geographic region.
Observed triglyceride-hs-CRP association warrants no practice change; hypothesis-generating for regional environmental modifiers in inflammation.
Background: Cardiovascular disease (CVD) remains the leading cause of death in China and worldwide. However, a large proportion of CVD can be prevented by regulating the levels of cardiovascular risk predictors. Despite the contribution of well-established factors to changes in cardiovascular risk predictors, the role of the regional environment and its combined effects with individual factors, which could affect health outcomes, remain unclear. Methods: We included 10 308 middle-aged and older Chinese adults from the 2015 China Health and Retirement Longitudinal Study. High-sensitivity C-reactive protein (hs-CRP) is a cardiovascular risk predictor. Related potential factors including individual characteristics, regional air pollution, and regional socioeconomic status characteristics were also collected. The geographical detector method was used to quantify the explanatory power of individual and regional factors separately and in pairs in the hs-CRP levels according to regions (southern vs. northern China). Results: Blood triglyceride had the highest explanatory power for hs-CRP levels. Regional environment factors, including air pollution and socioeconomic status, significantly affected hs-CRP levels, and the results differed by region. Indoor air pollution and regional industrial structure had a stronger effect on hs-CRP levels in the south, whereas outdoor air pollution and economic level had a greater effect in the north. The interactions between any two of the paired factors enhanced the effects. Conclusions: Spatial stratified heterogeneity of the leading risk factors for hs-CRP, a powerful cardiovascular risk predictor, was found. The combined effect of individual factors and regional environment enhanced the explanatory power of each risk factor. The results suggest that policymakers should choose different optimal approaches to regulate the cardiovascular risk predictor levels of middle-aged and older Chinese adults in different regions and the interaction effects between individual factors and the regional environment should be considered.
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Li et al. (2025) conducted a cross-sectional in Cardiovascular risk (elevated hs-CRP) (n=10,308). Individual and regional environment factors was evaluated on Explanatory power (q-statistic) of risk factors on hs-CRP levels. Blood triglyceride had the highest explanatory power for high-sensitivity C-reactive protein levels in middle-aged and older Chinese adults, with regional environmental factors significantly modifying these effects.
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