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1.
Medical Journal of Tabriz University of Medical Sciences and Health Services. 2016; 38 (2): 62-71
in Persian | IMEMR | ID: emr-185222

ABSTRACT

Background and Objectives: Air pollution from particulate matters and dust storms is considered one of the most challenging of health problems in our country, nowadays. Most of the epidemiological studies have shown a relationship between health outcomes and airborne particles. The main aim of this study was the assessment of health impacts of PM10 in Tabriz


Materials and Methods: In this cross sectional study, PM10 levels were monitored in fixed stations of air monitoring and its adverse health effects were estimated for one year. We applied the approach proposed by the World Health Organization [WHO] using the AirQ2.2.3 software developed by the WHO European Center for Environment and Health on air pollutants in Tabriz


Results: The results showed that 5.94% [CI 95% 5.02%; 6.83%] of natural death, 6.39%[CI 95% 4.09%; 13.31%] of cardiovascular death, 9.28% [CI 95% 6.39%; 23.98%] of respiratory death, 7.13% [CI 95% 4.87%; 9.98%] of hospital admissions for cardiovascular disease and 6.39%[CI 95% 3.93%; 8.72%] of hospital admissions for respiratory disease can be attributed to PM10 concentrations over 10 microg/m3


Conclusion: Based on the output of this model, air pollution due to airborne particles is a serious problem that necessitates attention and preventive measures by authorities and decision-makers

2.
Journal of Research in Health Sciences [JRHS]. 2013; 13 (1): 24-31
in English | IMEMR | ID: emr-142687

ABSTRACT

In the past three decades, Tehran, capital of Iran, has experienced warmer summers so we need to determine heat-related mortality to establish appropriate public health activities during hot summers. The aim of this study was to detect heat waves during the last decades and then determine excess mortality in immediate and lagged times. An ecological study based on time-series model was conducted in Tehran for re-cent decade using generalized linear lagged model [GLLM] with Poisson regression in 2001-2011. Maximum daily temperature was heat exposure for death outcome on the same day [lag 0], 3 [lag 01] and also 7 [lag 02] day moving average. Relative risk with 95% confidence was reported to quantify for increasing of daily mortalities for 1[degree sign]C risen exposure. Air pollutants considered as confounders in final model. Total excess mortality during 17 heat waves was 1069 [8.9 deaths/Heat wave days]. All non-external cause of death increased significantly during heat waves [3%-9%] with [RR= 1.03, 95% CI: 1.01, 1.05 and RR=1.09, 95% CI: 1.07, 1.09] and after adjusting for ozone and PM10 raised. Cause-specific deaths [especially circulatory disease] and death among elderly increased during heat waves [especially in the hottest wave]. The largest positive lagged effect of hot temperature although seen during hottest waves for all mortalities. Three waves had the most harvest effect for all categories of mortalities. This study showed excess mortalities resulted from hot temperatures and exacerbated with air pollutants in Tehran in the context of climate change. Forward displacement mortality and lagged mortalities were seen, but our results were not conclusive about the displacement pattern of mortalities


Subject(s)
Humans , Male , Female , Mortality/trends , Air Pollution, Radioactive/adverse effects , Regression Analysis , Environmental Exposure , Climate , Weather
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