Associations between arrhythmia episodes and temporally and spatially resolved black carbon and particulate matter in elderly patients

Antonella Zanobetti, Brent A. Coull, Alexandros Gryparis, Itai Kloog, David KloogSparrow, Pantel S. Vokonas, Robert O. Wright, Diane R. Gold, Joel GoldSchwartz

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives Ambient air pollution has been associated with sudden deaths, some of which are likely due to ventricular arrhythmias. Defibrillator discharge studies have examined the association of air pollution with arrhythmias in sensitive populations. No studies have assessed this association using residence-specific estimates of air pollution exposure. Methods In the Normative Aging Study, we investigated the association between temporally resolved and spatially resolved black carbon (BC) and PM2.5 and arrhythmia episodes (bigeminy, trigeminy or couplets episodes) measured as ventricular ectopy (VE) by 4 min ECG monitoring in repeated measures of 701 subjects, during the years 2000-2010. We used a binomial distribution (having or not a VE episode) in a mixed effect model with a random intercept for subject, controlling for seasonality, temperature, day of the week, medication use, smoking, having diabetes, body mass index and age. We also examined whether these associations were modified by genotype or phenotype. Results We found significant increases in VE with both pollutants and lags; for the estimated concentration averaged over the 3 days prior to the health assessment, we found increases in the odds of having VE with an OR of 1.52 (95% CI 1.19 to 1.94) for an IQR (0.30 μg/m3) increase in BC and an OR of 1.39 (95% CI 1.12 to 1.71) for an IQR (5.63 μg/m3) increase in PM2.5. We also found higher effects in subjects with the glutathione S-transferase theta-1 and glutathione S-transferase mu-1 variants and in obese ( p<0.05). Conclusions Increased levels of short-term trafficrelated pollutants may increase the risk of ventricular arrhythmia in elderly subjects.

Original languageAmerican English
Pages (from-to)201-207
Number of pages7
JournalOccupational and Environmental Medicine
Volume71
Issue number3
DOIs
StatePublished - 1 Mar 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health

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