Exposure to ambient air pollution and blood lipids in adults: The 33 Communities Chinese Health Study

Bo Yi Yang, Michael S. Bloom, Iana Markevych, Zhengmin (Min) Qian, Michael G. Vaughn, Lenise A. Cummings-Vaughn, Shanshan Li, Gongbo Chen, Gayan Bowatte, Jennifer L. Perret, Shyamali C. Dharmage, Joachim Heinrich, Steve Hung Lam Yim, Shao Lin, Linwei Tian, Mo Yang, Kang Kang Liu, Xiao Wen Zeng, Li Wen Hu, Yuming GuoGuang Hui Dong

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Abstract

Background: Little information exists on the lipidemic effects of air pollution, particularly in developing countries. We aimed to investigate the associations of long-term exposure to ambient air pollutants with lipid levels and dyslipidemias in China. Methods: In 2009, a total of 15,477 participants aged 18–74 years were recruited from the 33 Communities Chinese Health Study conducted in three Northeastern China cities. Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured in participants’ blood specimens. Three year (2006–08) average air pollution concentrations were assessed using data from 33 communities (particles with diameters ≤1.0 μm (PM 1 ) and ≤2.5 μm (PM 2.5 ) were predicted using a spatial statistical model) or 11 air monitoring stations (particles with diameters ≤10 μm (PM 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), and ozone (O 3 )). Associations were evaluated by two-level logistic and generalized linear regression models. Results: We detected many significant associations between exposure to air pollutants (especially for PM 1 and PM 2.5 ) and blood lipid levels. Most of the associations suggested deleterious effects on blood lipid markers (e.g., a 10 μg/m 3 increase in PM 1 was associated with 1.6% (95% confidence interval (CI): 1.1, 2.0), 2.9% (95% CI: −3.3, 9.3), and 3.2% (95% CI: 2.6, 3.9) higher levels of TC, TG, and LDL-C, respectively, but 1.4% (95% CI: −1.8, −0.9) lower HDL-C levels), although beneficial associations were found for O 3 . In analysis with dyslipidemias, all the observed associations suggested deleterious lipidemic effects of air pollutants, and no significant beneficial association was observed for O 3 . Stratified analyses showed that the associations were stronger in overweight or obese participants; sex and age modified the associations, but the pattern of effects was mixed. Conclusions: Long-term ambient air pollution was associated with both altered lipid profiles and dyslipidemias, especially among overweight or obese participants.

Original languageEnglish
Pages (from-to)485-492
Number of pages8
JournalEnvironment International
Volume119
DOIs
Publication statusPublished - 2018 Oct

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ambient air
confidence interval
atmospheric pollution
blood
lipid
nitrogen dioxide
sulfur dioxide
logistics
developing world
ozone
health
effect
exposure
air
air pollutant
particle

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)

Cite this

Yang, Bo Yi ; Bloom, Michael S. ; Markevych, Iana ; Qian, Zhengmin (Min) ; Vaughn, Michael G. ; Cummings-Vaughn, Lenise A. ; Li, Shanshan ; Chen, Gongbo ; Bowatte, Gayan ; Perret, Jennifer L. ; Dharmage, Shyamali C. ; Heinrich, Joachim ; Yim, Steve Hung Lam ; Lin, Shao ; Tian, Linwei ; Yang, Mo ; Liu, Kang Kang ; Zeng, Xiao Wen ; Hu, Li Wen ; Guo, Yuming ; Dong, Guang Hui. / Exposure to ambient air pollution and blood lipids in adults : The 33 Communities Chinese Health Study. In: Environment International. 2018 ; Vol. 119. pp. 485-492.
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title = "Exposure to ambient air pollution and blood lipids in adults: The 33 Communities Chinese Health Study",
abstract = "Background: Little information exists on the lipidemic effects of air pollution, particularly in developing countries. We aimed to investigate the associations of long-term exposure to ambient air pollutants with lipid levels and dyslipidemias in China. Methods: In 2009, a total of 15,477 participants aged 18–74 years were recruited from the 33 Communities Chinese Health Study conducted in three Northeastern China cities. Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured in participants’ blood specimens. Three year (2006–08) average air pollution concentrations were assessed using data from 33 communities (particles with diameters ≤1.0 μm (PM 1 ) and ≤2.5 μm (PM 2.5 ) were predicted using a spatial statistical model) or 11 air monitoring stations (particles with diameters ≤10 μm (PM 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), and ozone (O 3 )). Associations were evaluated by two-level logistic and generalized linear regression models. Results: We detected many significant associations between exposure to air pollutants (especially for PM 1 and PM 2.5 ) and blood lipid levels. Most of the associations suggested deleterious effects on blood lipid markers (e.g., a 10 μg/m 3 increase in PM 1 was associated with 1.6{\%} (95{\%} confidence interval (CI): 1.1, 2.0), 2.9{\%} (95{\%} CI: −3.3, 9.3), and 3.2{\%} (95{\%} CI: 2.6, 3.9) higher levels of TC, TG, and LDL-C, respectively, but 1.4{\%} (95{\%} CI: −1.8, −0.9) lower HDL-C levels), although beneficial associations were found for O 3 . In analysis with dyslipidemias, all the observed associations suggested deleterious lipidemic effects of air pollutants, and no significant beneficial association was observed for O 3 . Stratified analyses showed that the associations were stronger in overweight or obese participants; sex and age modified the associations, but the pattern of effects was mixed. Conclusions: Long-term ambient air pollution was associated with both altered lipid profiles and dyslipidemias, especially among overweight or obese participants.",
author = "Yang, {Bo Yi} and Bloom, {Michael S.} and Iana Markevych and Qian, {Zhengmin (Min)} and Vaughn, {Michael G.} and Cummings-Vaughn, {Lenise A.} and Shanshan Li and Gongbo Chen and Gayan Bowatte and Perret, {Jennifer L.} and Dharmage, {Shyamali C.} and Joachim Heinrich and Yim, {Steve Hung Lam} and Shao Lin and Linwei Tian and Mo Yang and Liu, {Kang Kang} and Zeng, {Xiao Wen} and Hu, {Li Wen} and Yuming Guo and Dong, {Guang Hui}",
year = "2018",
month = "10",
doi = "10.1016/j.envint.2018.07.016",
language = "English",
volume = "119",
pages = "485--492",
journal = "Environmental International",
issn = "0160-4120",
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Yang, BY, Bloom, MS, Markevych, I, Qian, ZM, Vaughn, MG, Cummings-Vaughn, LA, Li, S, Chen, G, Bowatte, G, Perret, JL, Dharmage, SC, Heinrich, J, Yim, SHL, Lin, S, Tian, L, Yang, M, Liu, KK, Zeng, XW, Hu, LW, Guo, Y & Dong, GH 2018, 'Exposure to ambient air pollution and blood lipids in adults: The 33 Communities Chinese Health Study', Environment International, vol. 119, pp. 485-492. https://doi.org/10.1016/j.envint.2018.07.016

Exposure to ambient air pollution and blood lipids in adults : The 33 Communities Chinese Health Study. / Yang, Bo Yi; Bloom, Michael S.; Markevych, Iana; Qian, Zhengmin (Min); Vaughn, Michael G.; Cummings-Vaughn, Lenise A.; Li, Shanshan; Chen, Gongbo; Bowatte, Gayan; Perret, Jennifer L.; Dharmage, Shyamali C.; Heinrich, Joachim; Yim, Steve Hung Lam; Lin, Shao; Tian, Linwei; Yang, Mo; Liu, Kang Kang; Zeng, Xiao Wen; Hu, Li Wen; Guo, Yuming; Dong, Guang Hui.

In: Environment International, Vol. 119, 10.2018, p. 485-492.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Exposure to ambient air pollution and blood lipids in adults

T2 - The 33 Communities Chinese Health Study

AU - Yang, Bo Yi

AU - Bloom, Michael S.

AU - Markevych, Iana

AU - Qian, Zhengmin (Min)

AU - Vaughn, Michael G.

AU - Cummings-Vaughn, Lenise A.

AU - Li, Shanshan

AU - Chen, Gongbo

AU - Bowatte, Gayan

AU - Perret, Jennifer L.

AU - Dharmage, Shyamali C.

AU - Heinrich, Joachim

AU - Yim, Steve Hung Lam

AU - Lin, Shao

AU - Tian, Linwei

AU - Yang, Mo

AU - Liu, Kang Kang

AU - Zeng, Xiao Wen

AU - Hu, Li Wen

AU - Guo, Yuming

AU - Dong, Guang Hui

PY - 2018/10

Y1 - 2018/10

N2 - Background: Little information exists on the lipidemic effects of air pollution, particularly in developing countries. We aimed to investigate the associations of long-term exposure to ambient air pollutants with lipid levels and dyslipidemias in China. Methods: In 2009, a total of 15,477 participants aged 18–74 years were recruited from the 33 Communities Chinese Health Study conducted in three Northeastern China cities. Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured in participants’ blood specimens. Three year (2006–08) average air pollution concentrations were assessed using data from 33 communities (particles with diameters ≤1.0 μm (PM 1 ) and ≤2.5 μm (PM 2.5 ) were predicted using a spatial statistical model) or 11 air monitoring stations (particles with diameters ≤10 μm (PM 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), and ozone (O 3 )). Associations were evaluated by two-level logistic and generalized linear regression models. Results: We detected many significant associations between exposure to air pollutants (especially for PM 1 and PM 2.5 ) and blood lipid levels. Most of the associations suggested deleterious effects on blood lipid markers (e.g., a 10 μg/m 3 increase in PM 1 was associated with 1.6% (95% confidence interval (CI): 1.1, 2.0), 2.9% (95% CI: −3.3, 9.3), and 3.2% (95% CI: 2.6, 3.9) higher levels of TC, TG, and LDL-C, respectively, but 1.4% (95% CI: −1.8, −0.9) lower HDL-C levels), although beneficial associations were found for O 3 . In analysis with dyslipidemias, all the observed associations suggested deleterious lipidemic effects of air pollutants, and no significant beneficial association was observed for O 3 . Stratified analyses showed that the associations were stronger in overweight or obese participants; sex and age modified the associations, but the pattern of effects was mixed. Conclusions: Long-term ambient air pollution was associated with both altered lipid profiles and dyslipidemias, especially among overweight or obese participants.

AB - Background: Little information exists on the lipidemic effects of air pollution, particularly in developing countries. We aimed to investigate the associations of long-term exposure to ambient air pollutants with lipid levels and dyslipidemias in China. Methods: In 2009, a total of 15,477 participants aged 18–74 years were recruited from the 33 Communities Chinese Health Study conducted in three Northeastern China cities. Total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured in participants’ blood specimens. Three year (2006–08) average air pollution concentrations were assessed using data from 33 communities (particles with diameters ≤1.0 μm (PM 1 ) and ≤2.5 μm (PM 2.5 ) were predicted using a spatial statistical model) or 11 air monitoring stations (particles with diameters ≤10 μm (PM 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), and ozone (O 3 )). Associations were evaluated by two-level logistic and generalized linear regression models. Results: We detected many significant associations between exposure to air pollutants (especially for PM 1 and PM 2.5 ) and blood lipid levels. Most of the associations suggested deleterious effects on blood lipid markers (e.g., a 10 μg/m 3 increase in PM 1 was associated with 1.6% (95% confidence interval (CI): 1.1, 2.0), 2.9% (95% CI: −3.3, 9.3), and 3.2% (95% CI: 2.6, 3.9) higher levels of TC, TG, and LDL-C, respectively, but 1.4% (95% CI: −1.8, −0.9) lower HDL-C levels), although beneficial associations were found for O 3 . In analysis with dyslipidemias, all the observed associations suggested deleterious lipidemic effects of air pollutants, and no significant beneficial association was observed for O 3 . Stratified analyses showed that the associations were stronger in overweight or obese participants; sex and age modified the associations, but the pattern of effects was mixed. Conclusions: Long-term ambient air pollution was associated with both altered lipid profiles and dyslipidemias, especially among overweight or obese participants.

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