Impact of temperature and air pollution on cardiovascular disease and death in Iran: A 15-year follow-up of Tehran Lipid and Glucose Study

In this, the first study to be conducted in the Middle East and North Africa (MENA) on the subject, we examined the impact of temperature and air pollution on cardiovascular disease (CVD) and all-cause mortality. The Tehran Lipid and Glucose Study followed 9731 participants, aged ≥30years (men=4409)...

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Published inThe Science of the total environment Vol. 661; pp. 243 - 250
Main Authors Khajavi, Alireza, Khalili, Davood, Azizi, Fereidoun, Hadaegh, Farzad
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 15.04.2019
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ISSN0048-9697
1879-1026
1879-1026
DOI10.1016/j.scitotenv.2019.01.182

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Abstract In this, the first study to be conducted in the Middle East and North Africa (MENA) on the subject, we examined the impact of temperature and air pollution on cardiovascular disease (CVD) and all-cause mortality. The Tehran Lipid and Glucose Study followed 9731 participants, aged ≥30years (men=4409), during the period 1999–2014, reporting 1350 CVDs (men=796) and 725 deaths (men=447). Air pollution level was measured using the air quality index (AQI). Data were analyzed using the distributed lag nonlinear model, with 30°C temperature and AQI=50 minimum risk values, as the relative risks' (RR) reference values. Although for the whole sample, no significant effect of air pollution was observed on CVD, for the under 60year olds, two significant peaks occurred in AQI=180 at lags 2 and 6days (RR=1.94, 95% CI: 1.02–3.67 and 2.06, 95% CI: 1.09–3.88, respectively). Temperature had no significant effect on CVD, yet the closest case to significance happened at 36°C and lag 5days (RR=1.43, 95% CI: 0.97–2.11), for ages ≥60y. The largest significant effects of air pollution on death, occurred in AQI=180 and lag 1day (RR=2.40, 95% CI: 1.0.-5.59 and 3.29, 95% CI: 1.15–9.36, for the whole sample and the <60year olds, respectively). Interestingly, for those aged over 60years, the peak belonged to AQI=180 and lag 7days (RR=2.16, 95% CI: 1.11–4.19). Regarding the effect of temperature on death among the whole sample, the highest risk was for 6°C and lag 0 (RR=3.91, 95% CI: 1.12–13.61). For the ≥60year olds, it occurred in 9+ and lag 0 (RR=6.81, 95% CI: 1.69–27.44), though notably, the peak went to −3°C and lag 3 (RR=5.69, 95% CI: 1.12–28.87), for those aged <60years. Overall, the effect of low temperature on death had the highest risk, for the over 60-year-olds, without any lag. Moreover, the <60-year-olds were the most vulnerable group to air pollution with a one day lag, in terms of mortality risk. [Display omitted] •MENA countries, including Iran, suffer from high CVD levels and air pollution.•Assessing temperature/air pollution effects on CVD/death, seeing age and gender•A nonlinear time series approach was used for data analysis.•Air pollution causes CVD, with the topmost risk for the <60years old.•Sudden effect of low temperature on death, with the highest risk for 60+ elders
AbstractList In this, the first study to be conducted in the Middle East and North Africa (MENA) on the subject, we examined the impact of temperature and air pollution on cardiovascular disease (CVD) and all-cause mortality. The Tehran Lipid and Glucose Study followed 9731 participants, aged ≥30years (men=4409), during the period 1999-2014, reporting 1350 CVDs (men=796) and 725 deaths (men=447). Air pollution level was measured using the air quality index (AQI). Data were analyzed using the distributed lag nonlinear model, with 30°C temperature and AQI=50 minimum risk values, as the relative risks' (RR) reference values. Although for the whole sample, no significant effect of air pollution was observed on CVD, for the under 60year olds, two significant peaks occurred in AQI=180 at lags 2 and 6days (RR=1.94, 95% CI: 1.02-3.67 and 2.06, 95% CI: 1.09-3.88, respectively). Temperature had no significant effect on CVD, yet the closest case to significance happened at 36°C and lag 5days (RR=1.43, 95% CI: 0.97-2.11), for ages ≥60y. The largest significant effects of air pollution on death, occurred in AQI=180 and lag 1day (RR=2.40, 95% CI: 1.0.-5.59 and 3.29, 95% CI: 1.15-9.36, for the whole sample and the <60year olds, respectively). Interestingly, for those aged over 60years, the peak belonged to AQI=180 and lag 7days (RR=2.16, 95% CI: 1.11-4.19). Regarding the effect of temperature on death among the whole sample, the highest risk was for 6°C and lag 0 (RR=3.91, 95% CI: 1.12-13.61). For the ≥60year olds, it occurred in 9+ and lag 0 (RR=6.81, 95% CI: 1.69-27.44), though notably, the peak went to -3°C and lag 3 (RR=5.69, 95% CI: 1.12-28.87), for those aged <60years. Overall, the effect of low temperature on death had the highest risk, for the over 60-year-olds, without any lag. Moreover, the <60-year-olds were the most vulnerable group to air pollution with a one day lag, in terms of mortality risk.In this, the first study to be conducted in the Middle East and North Africa (MENA) on the subject, we examined the impact of temperature and air pollution on cardiovascular disease (CVD) and all-cause mortality. The Tehran Lipid and Glucose Study followed 9731 participants, aged ≥30years (men=4409), during the period 1999-2014, reporting 1350 CVDs (men=796) and 725 deaths (men=447). Air pollution level was measured using the air quality index (AQI). Data were analyzed using the distributed lag nonlinear model, with 30°C temperature and AQI=50 minimum risk values, as the relative risks' (RR) reference values. Although for the whole sample, no significant effect of air pollution was observed on CVD, for the under 60year olds, two significant peaks occurred in AQI=180 at lags 2 and 6days (RR=1.94, 95% CI: 1.02-3.67 and 2.06, 95% CI: 1.09-3.88, respectively). Temperature had no significant effect on CVD, yet the closest case to significance happened at 36°C and lag 5days (RR=1.43, 95% CI: 0.97-2.11), for ages ≥60y. The largest significant effects of air pollution on death, occurred in AQI=180 and lag 1day (RR=2.40, 95% CI: 1.0.-5.59 and 3.29, 95% CI: 1.15-9.36, for the whole sample and the <60year olds, respectively). Interestingly, for those aged over 60years, the peak belonged to AQI=180 and lag 7days (RR=2.16, 95% CI: 1.11-4.19). Regarding the effect of temperature on death among the whole sample, the highest risk was for 6°C and lag 0 (RR=3.91, 95% CI: 1.12-13.61). For the ≥60year olds, it occurred in 9+ and lag 0 (RR=6.81, 95% CI: 1.69-27.44), though notably, the peak went to -3°C and lag 3 (RR=5.69, 95% CI: 1.12-28.87), for those aged <60years. Overall, the effect of low temperature on death had the highest risk, for the over 60-year-olds, without any lag. Moreover, the <60-year-olds were the most vulnerable group to air pollution with a one day lag, in terms of mortality risk.
In this, the first study to be conducted in the Middle East and North Africa (MENA) on the subject, we examined the impact of temperature and air pollution on cardiovascular disease (CVD) and all-cause mortality. The Tehran Lipid and Glucose Study followed 9731 participants, aged ≥30years (men=4409), during the period 1999-2014, reporting 1350 CVDs (men=796) and 725 deaths (men=447). Air pollution level was measured using the air quality index (AQI). Data were analyzed using the distributed lag nonlinear model, with 30°C temperature and AQI=50 minimum risk values, as the relative risks' (RR) reference values. Although for the whole sample, no significant effect of air pollution was observed on CVD, for the under 60year olds, two significant peaks occurred in AQI=180 at lags 2 and 6days (RR=1.94, 95% CI: 1.02-3.67 and 2.06, 95% CI: 1.09-3.88, respectively). Temperature had no significant effect on CVD, yet the closest case to significance happened at 36°C and lag 5days (RR=1.43, 95% CI: 0.97-2.11), for ages ≥60y. The largest significant effects of air pollution on death, occurred in AQI=180 and lag 1day (RR=2.40, 95% CI: 1.0.-5.59 and 3.29, 95% CI: 1.15-9.36, for the whole sample and the <60year olds, respectively). Interestingly, for those aged over 60years, the peak belonged to AQI=180 and lag 7days (RR=2.16, 95% CI: 1.11-4.19). Regarding the effect of temperature on death among the whole sample, the highest risk was for 6°C and lag 0 (RR=3.91, 95% CI: 1.12-13.61). For the ≥60year olds, it occurred in 9 and lag 0 (RR=6.81, 95% CI: 1.69-27.44), though notably, the peak went to -3°C and lag 3 (RR=5.69, 95% CI: 1.12-28.87), for those aged <60years. Overall, the effect of low temperature on death had the highest risk, for the over 60-year-olds, without any lag. Moreover, the <60-year-olds were the most vulnerable group to air pollution with a one day lag, in terms of mortality risk.
In this, the first study to be conducted in the Middle East and North Africa (MENA) on the subject, we examined the impact of temperature and air pollution on cardiovascular disease (CVD) and all-cause mortality. The Tehran Lipid and Glucose Study followed 9731 participants, aged ≥30years (men=4409), during the period 1999–2014, reporting 1350 CVDs (men=796) and 725 deaths (men=447). Air pollution level was measured using the air quality index (AQI). Data were analyzed using the distributed lag nonlinear model, with 30°C temperature and AQI=50 minimum risk values, as the relative risks' (RR) reference values. Although for the whole sample, no significant effect of air pollution was observed on CVD, for the under 60year olds, two significant peaks occurred in AQI=180 at lags 2 and 6days (RR=1.94, 95% CI: 1.02–3.67 and 2.06, 95% CI: 1.09–3.88, respectively). Temperature had no significant effect on CVD, yet the closest case to significance happened at 36°C and lag 5days (RR=1.43, 95% CI: 0.97–2.11), for ages ≥60y. The largest significant effects of air pollution on death, occurred in AQI=180 and lag 1day (RR=2.40, 95% CI: 1.0.-5.59 and 3.29, 95% CI: 1.15–9.36, for the whole sample and the <60year olds, respectively). Interestingly, for those aged over 60years, the peak belonged to AQI=180 and lag 7days (RR=2.16, 95% CI: 1.11–4.19). Regarding the effect of temperature on death among the whole sample, the highest risk was for 6°C and lag 0 (RR=3.91, 95% CI: 1.12–13.61). For the ≥60year olds, it occurred in 9+ and lag 0 (RR=6.81, 95% CI: 1.69–27.44), though notably, the peak went to −3°C and lag 3 (RR=5.69, 95% CI: 1.12–28.87), for those aged <60years. Overall, the effect of low temperature on death had the highest risk, for the over 60-year-olds, without any lag. Moreover, the <60-year-olds were the most vulnerable group to air pollution with a one day lag, in terms of mortality risk.
In this, the first study to be conducted in the Middle East and North Africa (MENA) on the subject, we examined the impact of temperature and air pollution on cardiovascular disease (CVD) and all-cause mortality. The Tehran Lipid and Glucose Study followed 9731 participants, aged ≥30years (men=4409), during the period 1999–2014, reporting 1350 CVDs (men=796) and 725 deaths (men=447). Air pollution level was measured using the air quality index (AQI). Data were analyzed using the distributed lag nonlinear model, with 30°C temperature and AQI=50 minimum risk values, as the relative risks' (RR) reference values. Although for the whole sample, no significant effect of air pollution was observed on CVD, for the under 60year olds, two significant peaks occurred in AQI=180 at lags 2 and 6days (RR=1.94, 95% CI: 1.02–3.67 and 2.06, 95% CI: 1.09–3.88, respectively). Temperature had no significant effect on CVD, yet the closest case to significance happened at 36°C and lag 5days (RR=1.43, 95% CI: 0.97–2.11), for ages ≥60y. The largest significant effects of air pollution on death, occurred in AQI=180 and lag 1day (RR=2.40, 95% CI: 1.0.-5.59 and 3.29, 95% CI: 1.15–9.36, for the whole sample and the <60year olds, respectively). Interestingly, for those aged over 60years, the peak belonged to AQI=180 and lag 7days (RR=2.16, 95% CI: 1.11–4.19). Regarding the effect of temperature on death among the whole sample, the highest risk was for 6°C and lag 0 (RR=3.91, 95% CI: 1.12–13.61). For the ≥60year olds, it occurred in 9+ and lag 0 (RR=6.81, 95% CI: 1.69–27.44), though notably, the peak went to −3°C and lag 3 (RR=5.69, 95% CI: 1.12–28.87), for those aged <60years. Overall, the effect of low temperature on death had the highest risk, for the over 60-year-olds, without any lag. Moreover, the <60-year-olds were the most vulnerable group to air pollution with a one day lag, in terms of mortality risk. [Display omitted] •MENA countries, including Iran, suffer from high CVD levels and air pollution.•Assessing temperature/air pollution effects on CVD/death, seeing age and gender•A nonlinear time series approach was used for data analysis.•Air pollution causes CVD, with the topmost risk for the <60years old.•Sudden effect of low temperature on death, with the highest risk for 60+ elders
Author Azizi, Fereidoun
Khalili, Davood
Hadaegh, Farzad
Khajavi, Alireza
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  surname: Hadaegh
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  organization: Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Keywords Cardiovascular disease
Air pollution
Distributed lag nonlinear model
Temperature
Iran
Mortality
Language English
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Snippet In this, the first study to be conducted in the Middle East and North Africa (MENA) on the subject, we examined the impact of temperature and air pollution on...
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SubjectTerms Adult
Aged
Aged, 80 and over
Air pollution
Air Pollution - adverse effects
air quality
Cardiovascular disease
cardiovascular diseases
Cardiovascular Diseases - chemically induced
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - mortality
Cold Temperature - adverse effects
data analysis
death
Distributed lag nonlinear model
Female
Follow-Up Studies
glucose
Hot Temperature - adverse effects
Humans
Iran
Iran - epidemiology
lipids
Male
men
Middle Aged
Middle East
Mortality
nonlinear models
normal values
Northern Africa
risk
Temperature
Title Impact of temperature and air pollution on cardiovascular disease and death in Iran: A 15-year follow-up of Tehran Lipid and Glucose Study
URI https://dx.doi.org/10.1016/j.scitotenv.2019.01.182
https://www.ncbi.nlm.nih.gov/pubmed/30677672
https://www.proquest.com/docview/2179440019
https://www.proquest.com/docview/2189523330
Volume 661
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