Air pollution and hospitalization due to angina pectoris in Tehran, Iran: A time-series study

Hosseinpoor, Ahmad Reza; Forouzanfar, Mohammad H.; Yunesian, Masud; Asghari, Fariba; Naieni, Koroush Holakouie; Farhood, Dariush

doi:10.1016/j.envres.2004.12.004

Cited by 105 publications

(64 citation statements)

References 31 publications

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“…Nevertheless, little information about the short-term effects of air pollution is available using a methodology that minimizes the personal characteristics of patients as confounders (case-crossover design). The harmful effects of particulate matter up to 10 μm in size (PM 10 ) and carbon monoxide (CO) concentrations have been shown in multiple studies of hospital admissions for respiratory and heart diseases [1][2][3][4][5]. These results suggest that air pollution is a risk factor for respiratory disease and acute cardiovascular events.…”

Section: Introductionmentioning

confidence: 62%

“…We used a case-crossover design to evaluate the association between 24-hour average concentrations of CO and PM 10 and risk of hospital admission for ACS. The study was conducted from 4 April to 10 September 2007.…”

Section: Methodsmentioning

confidence: 99%

“…This company has 7 fixed and 2 portable monitoring stations within the city. We computed local daily mean values of PM 10 and CO using an algorithm that accounted for the different monitor-specific means and variances [11]. PM 10 concentration was measured continuously with beta-ray atomic absorption and CO concentration was measured with a continuous non-dispersive infrared analyser.…”

Section: Data Collectionmentioning

confidence: 99%

“…In both conditions the coronary artery blood flow is impaired due to arteriosclerosis or thrombosis. In the Islamic Republic of Iran Hosseinpoor et al showed that hospital admissions for angina pectoris in Tehran increased with increasing CO but did not relate to PM 10 levels (using a time-series approach [10]). In the present study in Tehran we investigated the effect of air pollution (CO and PM 10 levels) in the 24 hours before the onset of ACS and whether the classic risk factors of ACS (age, sex, diabetes, hypertension and smoking status) acted as potential effect modifiers.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Effect of air pollution on onset of acute coronary syndrome in susceptible subgroups

Qorbani¹,

Yunesian²,

Fotouhi³

et al. 2012

East Mediterr Health J

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While long-term exposure to air pollutants is associated with an increase in heart diseases and mortality, little information is available about the short-term effects of air pollution. This case-crossover study assessed the relationship of particulate matter (PM 10 ) and carbon monoxide (CO) levels with hospital admission for acute coronary syndrome in Tehran, Islamic Republic of Iran. We interviewed 250 patients with a first episode of acute coronary syndrome and obtained data from hospital records and Tehran Air Quality Control Company. The risk of acute coronary syndrome was significantly associated with elevated concentrations of CO the day before the event (OR 1.18; 95% CI: 1.03-1.34) but not significantly with PM 10 (OR 1.00; 95% CI: 0.99-1.02). Stratification by age, sex, diabetes, hypertension and smoking status did not affect the results, but women were more susceptible than men to CO levels (OR for women/men 1.68; 95% CI: 1.25-2.26).

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Section: Introductionmentioning

confidence: 62%

Section: Methodsmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of air pollution on onset of acute coronary syndrome in susceptible subgroups

Qorbani¹,

Yunesian²,

Fotouhi³

et al. 2012

East Mediterr Health J

View full text Add to dashboard Cite

show abstract

“…Factors that influence a population's health conditions include climate changes 1,2 and atmospheric conditions 3,4 . In Brazil, research on this theme has grown in recent years 5,6,7 , and many studies have associated pollution and meteorological factors with respiratory diseases 8,9,10,11,12,13 .…”

Section: Introductionmentioning

confidence: 99%