Literature DB >> 30586817

Air pollution and hospital admissions for cardiovascular diseases in Ahvaz, Iran.

Maryam Dastoorpoor1, Zohreh Sekhavatpour2, Kambiz Masoumi3, Mohammad Javad Mohammadi4, Hamidreza Aghababaeian5, Narges Khanjani6, Bayram Hashemzadeh7, Mostafa Vahedian8.   

Abstract

Cardiovascular disease is one of the main causes of death in Iran. The aim of this study was to determine the relation between air pollution and cardiovascular hospital admissions in Ahwaz, Iran. Daily information about cardiovascular hospital admissions (based on the ICD-10) and data on air pollutants during 2008-2018 were inquired. A quasi-Poisson regression combined with linear distributed lag models; adjusted for trend, seasonality, temperature, relative humidity, weekdays and holidays was used to assess the relation between hospital admission for cardiovascular diseases and the average daily air pollution. The results of this study showed a significant increase in cardiovascular hospital admissions in the total population and women's population in relation to O3. There was a significant increase in hospital admissions for cardiovascular diseases in the whole population as well as gender and age groups associated with NO2 and NO. A significant increase was found in hospital admissions for cardiovascular diseases in relation to CO in the 65-74-year-old population. Finally, the results of this study showed that there was a significant increase in hospital admissions for cardiovascular disease associated with SO2. The main results of the present study confirm the deleterious short term impact of air pollution on cardiovascular morbidity in Ahvaz city. This evidence empasizes the need to implement policies for reducing air pollution.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ahvaz; Air; Cardiovascular hospital admissions; Time-series regression

Mesh:

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Year:  2018        PMID: 30586817     DOI: 10.1016/j.scitotenv.2018.10.285

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  10 in total

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  10 in total

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