Dataset Information

Time-series analysis of ambient PM2.5 and cardiorespiratory emergency room visits in Lima, Peru during 2010-2016.

ABSTRACT: INTRODUCTION:There have been no time-series studies of air pollution in Peru. Here we evaluate the effect of ambient PM2.5 on emergency room (ER) visits in Lima. METHODS:We estimated daily PM2.5 levels at a 1?km2 resolution during 2010-2016 using ground measurements, satellite data, and chemical transport model simulations. Population-weighted average daily PM2.5 levels were calculated for each district in Lima (n?=?40), and assigned to patients based on residence. ER visits for respiratory and circulatory diseases were gathered from nine large public hospitals. Poisson regression was used to estimate the rate ratio for daily ER visits with change in daily PM2.5, controlling for meteorology, time trends, and district. RESULTS:For each interquartile range (IQR) increase in PM2.5, respiratory disease ER visits increased 4% (95% CI: 0-5%), stroke visits 10% (3-18%), and ischemic heart disease visits (adults, 18-64 years) 11% (-1, 24%). Districts with higher poverty showed significantly stronger associations of PM2.5 and respiratory disease ER visits than districts with lower poverty. Effects were diminished 24-42% using Lima-wide instead of district-specific PM2.5 levels. CONCLUSIONS:Short-term exposure to ambient PM2.5 is associated with increases in ER visits in Lima for respiratory diseases and stroke, and among middle-aged adults, ischemic heart disease.

SUBMITTER: Tapia V

PROVIDER: S-EPMC7234897 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Time-series analysis of ambient PM<sub>2.5</sub> and cardiorespiratory emergency room visits in Lima, Peru during 2010-2016.

Tapia V V Steenland K K Sarnat S E SE Vu B B Liu Y Y Sánchez-Ccoyllo O O Vasquez V V Gonzales G F GF

Journal of exposure science & environmental epidemiology 20191119 4

<h4>Introduction</h4>There have been no time-series studies of air pollution in Peru. Here we evaluate the effect of ambient PM<sub>2.5</sub> on emergency room (ER) visits in Lima.<h4>Methods</h4>We estimated daily PM<sub>2.5</sub> levels at a 1 km<sup>2</sup> resolution during 2010-2016 using ground measurements, satellite data, and chemical transport model simulations. Population-weighted average daily PM<sub>2.5</sub> levels were calculated for each district in Lima (n = 40), and assigned to ...[more]

PMID: 31745179

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Project description:BackgroundAsthma affects millions of people worldwide. Lima, Peru is one of the most polluted cities in the Americas but has insufficient ground PM2.5 (particulate matter that are 2.5 μm or less in diameter) measurements to conduct epidemiologic studies regarding air pollution. PM2.5 estimates from a satellite-driven model have recently been made, enabling a study between asthma and PM2.5.ObjectiveWe conducted a daily time-series analysis to determine the association between asthma emergency department (ED) visits and estimated ambient PM2.5 levels in Lima, Peru from 2010 to 2016.MethodsWe used Poisson generalized linear models to regress aggregated counts of asthma on district-level population weighted PM2.5. Indicator variables for hospitals, districts, and day of week were included to account for spatial and temporal autocorrelation while assessing same day, previous day, day before previous and average across all 3-day exposures. We also included temperature and humidity to account for meteorology and used dichotomous percent poverty and gender variables to assess effect modification.ResultsThere were 103,974 cases of asthma ED visits during the study period across 39 districts in Lima. We found a 3.7% (95% CI: 1.7%-5.8%) increase in ED visits for every interquartile range (IQR, 6.02 μg/m3) increase in PM2.5 same day exposure with no age stratification. For the 0-18 years age group, we found a 4.5% (95% CI: 2.2%-6.8%) increase in ED visits for every IQR increase in PM2.5 same day exposure. For the 19-64 years age group, we found a 6.0% (95% CI: 1.0%-11.0%) increase in ED visits for every IQR in average 3-day exposure. For the 65 years and up age group, we found a 16.0% (95% CI: 7.0%-24.0%) decrease in ED visits for every IQR increase in PM2.5 average 3-day exposure, although the number of visits in this age group was low (4,488). We found no effect modification by SES or gender.DiscussionResults from this study provide additional literature on use of satellite-driven exposure estimates in time-series analyses and evidence for the association between PM2.5 and asthma in a low- and middle-income (LMIC) country.

Dataset Information

Time-series analysis of ambient PM2.5 and cardiorespiratory emergency room visits in Lima, Peru during 2010-2016.

Publications

Time-series analysis of ambient PM<sub>2.5</sub> and cardiorespiratory emergency room visits in Lima, Peru during 2010-2016.

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