Multiple air pollutant exposure and lung cancer in Tehran, Iran
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Multiple air pollutant exposure and lung cancer in Tehran, Iran. / Khorrami, Zahra; Pourkhosravani, Mohsen; Rezapour, Maysam; Etemad, Koorosh; Taghavi-Shahri, Seyed Mahmood; Kuenzli, Nino; Amini, Heresh; Khanjani, Narges.
In: Scientific Reports, Vol. 11, No. 1, 9239, 2021.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Multiple air pollutant exposure and lung cancer in Tehran, Iran
AU - Khorrami, Zahra
AU - Pourkhosravani, Mohsen
AU - Rezapour, Maysam
AU - Etemad, Koorosh
AU - Taghavi-Shahri, Seyed Mahmood
AU - Kuenzli, Nino
AU - Amini, Heresh
AU - Khanjani, Narges
PY - 2021
Y1 - 2021
N2 - Lung cancer is the most rapidly increasing malignancy worldwide with an estimated 2.1 million cancer cases in the latest, 2018 World Health Organization (WHO) report. The objective of this study was to investigate the association of air pollution and lung cancer, in Tehran, Iran. Residential area information of the latest registered lung cancer cases that were diagnosed between 2014 and 2016 (N=1,850) were inquired from the population-based cancer registry of Tehran. Long-term average exposure to PM10, SO2, NO, NO2, NOX, benzene, toluene, ethylbenzene, m-xylene, p-xylene, o-xylene (BTEX), and BTEX in 22 districts of Tehran were estimated using land use regression models. Latent profile analysis (LPA) was used to generate multi-pollutant exposure profiles. Negative binomial regression analysis was used to examine the association between air pollutants and lung cancer incidence. The districts with higher concentrations for all pollutants were mostly in downtown and around the railway station. Districts with a higher concentration for NOx (IRR=1.05, for each 10 unit increase in air pollutant), benzene (IRR=3.86), toluene (IRR=1.50), ethylbenzene (IRR=5.16), p-xylene (IRR=9.41), o-xylene (IRR=7.93), m-xylene (IRR=2.63) and TBTEX (IRR=1.21) were significantly associated with higher lung cancer incidence. Districts with a higher multiple air-pollution profile were also associated with more lung cancer incidence (IRR=1.01). Our study shows a positive association between air pollution and lung cancer incidence. This association was stronger for, respectively, p-xylene, o-xylene, ethylbenzene, benzene, m-xylene and toluene.
AB - Lung cancer is the most rapidly increasing malignancy worldwide with an estimated 2.1 million cancer cases in the latest, 2018 World Health Organization (WHO) report. The objective of this study was to investigate the association of air pollution and lung cancer, in Tehran, Iran. Residential area information of the latest registered lung cancer cases that were diagnosed between 2014 and 2016 (N=1,850) were inquired from the population-based cancer registry of Tehran. Long-term average exposure to PM10, SO2, NO, NO2, NOX, benzene, toluene, ethylbenzene, m-xylene, p-xylene, o-xylene (BTEX), and BTEX in 22 districts of Tehran were estimated using land use regression models. Latent profile analysis (LPA) was used to generate multi-pollutant exposure profiles. Negative binomial regression analysis was used to examine the association between air pollutants and lung cancer incidence. The districts with higher concentrations for all pollutants were mostly in downtown and around the railway station. Districts with a higher concentration for NOx (IRR=1.05, for each 10 unit increase in air pollutant), benzene (IRR=3.86), toluene (IRR=1.50), ethylbenzene (IRR=5.16), p-xylene (IRR=9.41), o-xylene (IRR=7.93), m-xylene (IRR=2.63) and TBTEX (IRR=1.21) were significantly associated with higher lung cancer incidence. Districts with a higher multiple air-pollution profile were also associated with more lung cancer incidence (IRR=1.01). Our study shows a positive association between air pollution and lung cancer incidence. This association was stronger for, respectively, p-xylene, o-xylene, ethylbenzene, benzene, m-xylene and toluene.
KW - LONG-TERM EXPOSURE
KW - RESPIRATORY HOSPITAL ADMISSIONS
KW - EASTERN MEGACITY TEHRAN
KW - USE REGRESSION-MODELS
KW - AMBIENT AIR
KW - HEALTH
KW - MORTALITY
KW - DISEASE
KW - COHORT
KW - ASSOCIATIONS
U2 - 10.1038/s41598-021-88643-4
DO - 10.1038/s41598-021-88643-4
M3 - Journal article
C2 - 33927268
VL - 11
JO - Scientific Reports
JF - Scientific Reports
SN - 2045-2322
IS - 1
M1 - 9239
ER -
ID: 272399641