Temporal fluctuations of PM2.5 and PM10, population exposure, and their health impacts in Dezful city, Iran

Eskandari, Zahra; Maleki, Heidar; Neisi, Abdolkazem; Riahi, Atefeh; Hamid, Vafa

doi:10.1007/s40201-020-00498-5

Cited by 27 publications

(9 citation statements)

References 35 publications

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“…Intuitive analysis models for PM focus on linear probability models and discrete probability models. The former is mainly used to connect PM to health indicators 28 . The latter is adopted to calculate the probability of a specific event, among which Logit model and Probit model are representative models.…”

Section: Introductionmentioning

confidence: 99%

Health risk assessment of PM2.5 on walking trips

Zhu

Liu

et al. 2021

Sci Rep

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PM2.5 has an impact on residents' physical health during travelling, especially walking completely exposed to the environment. In order to obtain the specific impact of PM2.5 on walking, 368 healthy volunteers were selected and they were grouped according to gender and age. In the experiment, the heart rate change rate (HR%) is taken as test variable. According to receiver operating characteristic (ROC) curve, the travel is divided into two states: safety and risk. Based on this, a binary logit model considering Body Mass Index (BMI) is established to determine the contribution of PM2.5 concentration and body characteristics to travel risk. The experiment was conducted on Chang'an Middle Road in Xi'an City. The analysis results show that the threshold of HR% for safety and risk ranges from 31.1 to 40.1%, and that of PM2.5 concentration ranges from 81 to 168 μg/m3. The probability of risk rises 5.8% and 11.4%, respectively, for every unit increase in PM2.5 concentration and HR%. Under same conditions, the probability of risk for male is 76.8% of that for female. The probability of risk for youth is 67.5% of that for middle-aged people, and the probability of risk for people with BMI in healthy range is 72.1% of that for non-healthy range. The research evaluates risk characteristics of walking in particular polluted weather, which can improve residents’ health level and provide suggestions for travel decision while walking.

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Section: Introductionmentioning

confidence: 99%

Health risk assessment of PM2.5 on walking trips

Zhu

Liu

et al. 2021

Sci Rep

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“…In the last decades, Dezful has been exposed to environmental pollutants from desert dust. 35 , 40 The results of previous studies indicate that human health is affected by environmental pollutants caused by dust storms. Therefore, the effects of these 2 environmental pollutants (PM 10 and PM 2.5 ) were taken into consideration in this study.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, the effects of these 2 environmental pollutants (PM 10 and PM 2.5 ) were taken into consideration in this study. 40 , 41 …”

Section: Methodsmentioning

confidence: 99%

Mortality Risk Related to Heatwaves in Dezful City, Southwest of Iran

Aghababaeian

Ostadtaghizadeh

Ardalan

et al. 2023

Environ�Health�Insights

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Background: We aimed to evaluate the impact of heatwaves on daily deaths due to non-accidental, cardiovascular and respiratory causes in the city of Dezful in Iran from 2013 to 2019. Method: We collected daily ambient temperature and mortality and defined 2 types of heatwaves by combining daily temperature ⩾90th in each month of the study period or since 30 years with duration ⩾2 and 3 days. We used a distributed lag non-linear model to study the association between each type of heatwave definition, and deaths due to non-accidental, cardiovascular and respiratory causes with lags up to 13 days. Results: There was no discernible correlation in this area, despite the fact that heatwaves raised the risk of death from cardiovascular causes and lowered the risk from respiratory causes. On the other hand, the risk of total non-accidental mortality on days with the heatwaves is significantly higher than normal days. In main effects, the heatwaves have a significant relationship with the risk of total non-accidental mortality (in the first heatwave definition, Cumulative Excess Risk (CER) in lag0-2 was 10.4 and in second heatwave definition, CER values in lag0, 0-2, and 0-6 were 12.4, 29.2, and 38.8 respectively). Also, in added effects, heatwaves have a significant relationship with the risk of total non-accidental mortality (in the first heatwave definition, CER in lag0 and 0-2 were 1.79 and 4.11 and in the second heatwave definition, CER values in lag0, 0-2, and 0-6 were 7.76, 18.35 and 24.87 respectively). In addition, heatwaves appeared to contribute to a cumulative excess risk of non-accidental death among the male group as well as the older adults. Conclusion: However, the results showed that heatwaves could have detrimental effects on health, even in populations accustomed to the extreme heat. Therefore, early warning systems which monitor heatwaves should provide the necessary warnings to the population, especially the most vulnerable groups.

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“…The average annual rainfall is 400 mm and the minimum temperature is −3°C in winter and the maximum is 52°C in summer. [ 15 ] Figure 1 shows the geographical location of Dezful.…”

Section: Methodsmentioning

confidence: 99%

Effects of dust events and meteorological elements on stroke morbidity in northern Khuzestan, Iran

Sadeghimoghaddam

Khankeh

Norozi

et al. 2021

Journal of Education and Health Promotion

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BACKGROUND: In recent years, the prevalence of dust events has increased in the region and the world. According to the Meteorological Organization, the most frequent days with dust events are on stations located in Khuzestan province. Objective: Assessment of the effects of dust events and meteorological elements on stroke morbidity in health in Iran: a health promotion approach. MATERIALS AND METHODS: The present study was a retrospective cohort study 2020 and 2013 provided between based on ecological data-based on population. Information about patients with stroke was obtained from the hospital. Information on the dust events and meteorological elements was also from the data center of the Meteorological Organization of Iran. Using STATA the correlation between the diseases and the, 14 statistical software version occurrence of dust events and changes in meteorological elements was obtained and the statistical model (Spearman correlation coefficient) individually estigate the equation was used inv modified by Poisson regression simultaneous effect of variables. RESULTS: the results of adjusted statistical models show that increasing the severity of dust event increases the risk of stroke in males (lag 0–21 confidence interval [CI] 95% = 1.496–1.0067 relative risk [RR] = 1.03 P = 0.01). Increasing the average wind speed also increases the risk of stroke in males (lag 0–3 CI 95% = 1.0491–0.9996 RR = 1.02 P = 0.05). Increased rainfall and average relative humidity increase the risk of stroke in people under 60 years (lag 0–7 CI 95% = 1.0012–0.9058 RR = 1.95 P = 0.05). Increasing the average daily temperature reduces the risk of stroke in males (lag 0–3 CI 95% = 0.9874–0.9254 RR = 0.51 P < 0.001). CONCLUSION: Increasing the intensity of dust storms along with meteorological elements has increased the risk of stroke. However, increasing the average temperature has had a protective effect on the risk of stroke.

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Temporal fluctuations of PM2.5 and PM10, population exposure, and their health impacts in Dezful city, Iran

Cited by 27 publications

References 35 publications

Health risk assessment of PM2.5 on walking trips

Health risk assessment of PM2.5 on walking trips

Mortality Risk Related to Heatwaves in Dezful City, Southwest of Iran

Effects of dust events and meteorological elements on stroke morbidity in northern Khuzestan, Iran

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