Abstract

Short-term effects of air pollution on the number of hospital admissions in eight municipalities of the Metropolitan Area of Monterrey, Mexico, were assessed from 2016 to 2019 using a time-series approach. Air quality data were obtained from the Atmospheric Monitoring System of Nuevo Leon State (SIMA) which belongs to SINAICA (National System of Air Quality Information), providing validated data for this study. Epidemiological data were provided by SINAIS (National System of Health Information), considering admission by all causes and specific causes, gender and different age groups. Guadalupe had the highest mean concentrations for SO2, CO and O3; whereas Santa Catarina showed the highest NO2 concentrations. Escobedo and Garcia registered the highest levels for PM10. Only PM10 and O3 exceeded the permissible maximum values established in Mexican official standards. A basal Poisson model was constructed to assess the association between daily morbidity and air pollutants, from this, a second scenario in which daily mean concentrations of air pollutant criteria increase by 10% was considered. Most of pollutants and municipalities studied showed a great number of associations between an increase of 10% in their current concentrations and morbidity, especially for the age group between 5 and 59 years during cold months, excepting ozone which showed a strongest correlation during summer. Results were comparable to those reported by other authors around the world, however, in spite of relative risk index (RRI) values being low, they are of public concern. This study demonstrated that considering the nature of their activities, economically active population and students, they could be more vulnerable to air pollution effects. Results found in this study can be used by decision makers to develop public policies focused on protecting this specific group of the population in metropolitan areas in Mexico.

Highlights

  • Health effects of human exposure to air pollution can be either long or short-term, and different pollutants may have significantly different exposure-response characteristics [1,2]

  • In this study, we aimed to describe hospital admissions and meteorological and pollutant variables, to construct a basal Poisson model in order to assess the association between daily morbidity and air pollutants, and to determine which atmospheric variables or pollutants show the strongest short-term relationship with daily morbidity in eight municipalities of the Metropolitan Area of Monterrey (MAM) during 2016–2019, considering all age groups, all causes and causes of specific diseases

  • relative risk index (RRI) values found in MAM were comparable with those reported for Iran [38], lower than those values found in Thailand [40], comparable with the results reported for Korea [41,42,44], lower than those found in Seoul during 2017 [46]; and comparable with values reported in USA [47]

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Summary

Introduction

Health effects of human exposure to air pollution can be either long or short-term, and different pollutants may have significantly different exposure-response characteristics [1,2]. Individual atmospheric pollutants have their own specific toxic effects on human health, O3, NO2, PM10 and PM2.5 share the common property of being potential oxidants. Particulate matter penetrates into the airways causing harmful impacts to human health, and SO2 is a toxic gas which is related to respiratory and pulmonary diseases [3]. Lipfert [5] identified 417 long-term studies of air quality and health, and found that 54% of them reported a significant association with at least one pollutant, cardiovascular and respiratory causes being the most important. PM10 leads to cardiovascular diseases such as myocardial infarction, stroke, heart failure and venous thromboembolism

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