Exploring Metal Mixtures Exposure and Cardiovascular Risk Factors in Miami Dade.

Abstract

Objective: To assess the role of PM 2.5 speciation chemical mixtures in association with cardiovascular disease risk factors during pregnancy.

Methods: PM 2.5 chemical mixtures are identified using a novel statistical method. Logistic regression analyses were conducted to assess mixtures associated with cardiovascular disease risk factors after controlling for known risk factors.

Results: Direct association between a PM 2.5 chemical mixture and hyaline disease as well as association between some mixtures and preeclampsia, hyaline disease, and gestational diabetes through interaction with race and ethnicity have been identified. The results also emphasized the need for new statistical methods for environmental health study especially when dealing with spatial-temporal data.

Conclusion: The study highlights the importance of considering chemical mixtures in exposure assessment and the need for more refined methodologies in future environmental health investigations.