Lucia Calderon, Marcella Warner, Robert B Gunier, Stephen Rauch, Kimberly G Hazard, Katherine Kogut, Brenda Eskenazi, Jacqueline M Torres
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引用次数: 0
Abstract
Cardiovascular disease is a leading cause of death worldwide. There is limited evidence that exposure to current-use pesticides may contribute to cardiovascular disease risk. We examined the association between residential proximity to the application of agricultural pesticides and cardiovascular risk factors among 484 adult women in the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS) Study, a cohort based in an agricultural region of California. Outcome assessment was completed between 2010 and 2013. Using participant residential addresses and California's Pesticide Use Reporting database, we estimated agricultural pesticide use within 1 km of residences during the 2-year period preceding outcome assessment. We used Bayesian hierarchical modeling to evaluate associations between exposure to 14 agricultural pesticides and continuous measures of waist circumference, body mass index, and blood pressure. Each 10-fold increase in paraquat application around homes was associated with increased diastolic blood pressure (β = 2.60 mm Hg; 95% credible interval [CrI], 0.27-4.89) and each 10-fold increase in glyphosate application was associated with increased pulse pressure (β = 2.26 mm Hg; 95% CrI, 0.09-4.41). No meaningful associations were observed for the other pesticides examined. Our results suggest that paraquat and glyphosate pesticides may affect cardiovascular disease development in women with chronic environmental exposure. This article is part of a Special Collection on Environmental Epidemiology.
期刊介绍:
The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research.
It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.