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

Maryam Dastoorpoor, Zohreh Sekhavatpour, Kambiz Masoumi, Mohammad Javad Mohammadi, Hamidreza Aghababaeian, Narges Khanjani, Bayram Hashemzadeh, Mostafa Vahedian

Research output: Contribution to journalArticleResearchpeer-review

34 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1318-1330
Number of pages13
JournalScience of the Total Environment
Volume652
DOIs
Publication statusPublished - 20 Feb 2019
Externally publishedYes

Keywords

  • Ahvaz
  • Air
  • Cardiovascular hospital admissions
  • Time-series regression

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