Long-term exposure to ambient air pollution (including PM 1 ) and metabolic syndrome: The 33 Communities Chinese Health Study (33CCHS)

Bo Yi Yang, Zhengmin Qian, Shanshan Li, Shujun Fan, Gongbo Chen, Kevin M. Syberg, Hong Xian, Si Quan Wang, Huimin Ma, Duo Hong Chen, Mo Yang, Kang Kang Liu, Xiao Wen Zeng, Li Wen Hu, Yuming Guo, Guang Hui Dong

Research output: Contribution to journalArticle

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Abstract

Little evidence exists about the effects of long-term exposure to ambient air pollution on metabolic syndrome (MetS). This study aimed to determine the association between long-term ambient air pollution and MetS in China. A total of 15,477 adults who participated in the 33 Communities Chinese Health Study (33CCHS) in 2009 were evaluated. MetS was defined based on the recommendation by the Joint Interim Societies. Exposure to air pollutants was assessed using data from monitoring stations and a spatial statistical model (including particles with diameters ≤ 1.0 µm (PM 1 ), ≤ 2.5 µm (PM 2.5 ), and ≤ 10 µm (PM 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), and ozone (O 3 )). Two-level logistic regression analyses were utilized to assess the associations between air pollutants and MetS. The prevalence of MetS was 30.37%. The adjusted odds ratio of MetS per 10 µg/m 3 increase in PM 1 , PM 2.5 , PM 10 , SO 2 , NO 2 , and O 3 were 1.12 (95% CI = 1.00–1.24), 1.09 (95% CI = 1.00–1.18), 1.13 (95% CI = 1.08–1.19), 1.10 (95% CI = 1.02–1.18), 1.33 (95% CI = 1.12–1.57), and 1.10 (95% CI = 1.01–1.18), respectively. Stratified analyses indicated that the above associations were stronger in participants with the demographic variables of males, < 50 years of age, and higher income, as well as with the behavioral characteristics of smoking, drinking, and consuming sugar-sweetened soft drinks frequently. This study indicates that long-term exposure to ambient air pollutants may increase the risk of MetS, especially among males, the young to middle aged, those of low income, and those with unhealthy lifestyles.

Original languageEnglish (US)
Pages (from-to)204-211
Number of pages8
JournalEnvironmental Research
Volume164
DOIs
StatePublished - Jul 1 2018

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Air Pollutants
Air Pollution
Air pollution
ambient air
atmospheric pollution
Health
income
Nitrogen Dioxide
Sulfur Dioxide
Ozone
nitrogen dioxide
drinking
smoking
lifestyle
sulfur dioxide
Sugars
Logistics
logistics
sugar
ozone

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Environmental Science(all)

Cite this

Yang, Bo Yi ; Qian, Zhengmin ; Li, Shanshan ; Fan, Shujun ; Chen, Gongbo ; Syberg, Kevin M. ; Xian, Hong ; Wang, Si Quan ; Ma, Huimin ; Chen, Duo Hong ; Yang, Mo ; Liu, Kang Kang ; Zeng, Xiao Wen ; Hu, Li Wen ; Guo, Yuming ; Dong, Guang Hui. / Long-term exposure to ambient air pollution (including PM 1 ) and metabolic syndrome : The 33 Communities Chinese Health Study (33CCHS). In: Environmental Research. 2018 ; Vol. 164. pp. 204-211.
@article{8b1ece3ddbe44ed981c553fd5cf2d5bf,
title = "Long-term exposure to ambient air pollution (including PM 1 ) and metabolic syndrome: The 33 Communities Chinese Health Study (33CCHS)",
abstract = "Little evidence exists about the effects of long-term exposure to ambient air pollution on metabolic syndrome (MetS). This study aimed to determine the association between long-term ambient air pollution and MetS in China. A total of 15,477 adults who participated in the 33 Communities Chinese Health Study (33CCHS) in 2009 were evaluated. MetS was defined based on the recommendation by the Joint Interim Societies. Exposure to air pollutants was assessed using data from monitoring stations and a spatial statistical model (including particles with diameters ≤ 1.0 µm (PM 1 ), ≤ 2.5 µm (PM 2.5 ), and ≤ 10 µm (PM 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), and ozone (O 3 )). Two-level logistic regression analyses were utilized to assess the associations between air pollutants and MetS. The prevalence of MetS was 30.37{\%}. The adjusted odds ratio of MetS per 10 µg/m 3 increase in PM 1 , PM 2.5 , PM 10 , SO 2 , NO 2 , and O 3 were 1.12 (95{\%} CI = 1.00–1.24), 1.09 (95{\%} CI = 1.00–1.18), 1.13 (95{\%} CI = 1.08–1.19), 1.10 (95{\%} CI = 1.02–1.18), 1.33 (95{\%} CI = 1.12–1.57), and 1.10 (95{\%} CI = 1.01–1.18), respectively. Stratified analyses indicated that the above associations were stronger in participants with the demographic variables of males, < 50 years of age, and higher income, as well as with the behavioral characteristics of smoking, drinking, and consuming sugar-sweetened soft drinks frequently. This study indicates that long-term exposure to ambient air pollutants may increase the risk of MetS, especially among males, the young to middle aged, those of low income, and those with unhealthy lifestyles.",
author = "Yang, {Bo Yi} and Zhengmin Qian and Shanshan Li and Shujun Fan and Gongbo Chen and Syberg, {Kevin M.} and Hong Xian and Wang, {Si Quan} and Huimin Ma and Chen, {Duo Hong} 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 = "7",
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doi = "10.1016/j.envres.2018.02.029",
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Yang, BY, Qian, Z, Li, S, Fan, S, Chen, G, Syberg, KM, Xian, H, Wang, SQ, Ma, H, Chen, DH, Yang, M, Liu, KK, Zeng, XW, Hu, LW, Guo, Y & Dong, GH 2018, 'Long-term exposure to ambient air pollution (including PM 1 ) and metabolic syndrome: The 33 Communities Chinese Health Study (33CCHS)', Environmental Research, vol. 164, pp. 204-211. https://doi.org/10.1016/j.envres.2018.02.029

Long-term exposure to ambient air pollution (including PM 1 ) and metabolic syndrome : The 33 Communities Chinese Health Study (33CCHS). / Yang, Bo Yi; Qian, Zhengmin; Li, Shanshan; Fan, Shujun; Chen, Gongbo; Syberg, Kevin M.; Xian, Hong; Wang, Si Quan; Ma, Huimin; Chen, Duo Hong; Yang, Mo; Liu, Kang Kang; Zeng, Xiao Wen; Hu, Li Wen; Guo, Yuming; Dong, Guang Hui.

In: Environmental Research, Vol. 164, 01.07.2018, p. 204-211.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Long-term exposure to ambient air pollution (including PM 1 ) and metabolic syndrome

T2 - The 33 Communities Chinese Health Study (33CCHS)

AU - Yang, Bo Yi

AU - Qian, Zhengmin

AU - Li, Shanshan

AU - Fan, Shujun

AU - Chen, Gongbo

AU - Syberg, Kevin M.

AU - Xian, Hong

AU - Wang, Si Quan

AU - Ma, Huimin

AU - Chen, Duo Hong

AU - Yang, Mo

AU - Liu, Kang Kang

AU - Zeng, Xiao Wen

AU - Hu, Li Wen

AU - Guo, Yuming

AU - Dong, Guang Hui

PY - 2018/7/1

Y1 - 2018/7/1

N2 - Little evidence exists about the effects of long-term exposure to ambient air pollution on metabolic syndrome (MetS). This study aimed to determine the association between long-term ambient air pollution and MetS in China. A total of 15,477 adults who participated in the 33 Communities Chinese Health Study (33CCHS) in 2009 were evaluated. MetS was defined based on the recommendation by the Joint Interim Societies. Exposure to air pollutants was assessed using data from monitoring stations and a spatial statistical model (including particles with diameters ≤ 1.0 µm (PM 1 ), ≤ 2.5 µm (PM 2.5 ), and ≤ 10 µm (PM 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), and ozone (O 3 )). Two-level logistic regression analyses were utilized to assess the associations between air pollutants and MetS. The prevalence of MetS was 30.37%. The adjusted odds ratio of MetS per 10 µg/m 3 increase in PM 1 , PM 2.5 , PM 10 , SO 2 , NO 2 , and O 3 were 1.12 (95% CI = 1.00–1.24), 1.09 (95% CI = 1.00–1.18), 1.13 (95% CI = 1.08–1.19), 1.10 (95% CI = 1.02–1.18), 1.33 (95% CI = 1.12–1.57), and 1.10 (95% CI = 1.01–1.18), respectively. Stratified analyses indicated that the above associations were stronger in participants with the demographic variables of males, < 50 years of age, and higher income, as well as with the behavioral characteristics of smoking, drinking, and consuming sugar-sweetened soft drinks frequently. This study indicates that long-term exposure to ambient air pollutants may increase the risk of MetS, especially among males, the young to middle aged, those of low income, and those with unhealthy lifestyles.

AB - Little evidence exists about the effects of long-term exposure to ambient air pollution on metabolic syndrome (MetS). This study aimed to determine the association between long-term ambient air pollution and MetS in China. A total of 15,477 adults who participated in the 33 Communities Chinese Health Study (33CCHS) in 2009 were evaluated. MetS was defined based on the recommendation by the Joint Interim Societies. Exposure to air pollutants was assessed using data from monitoring stations and a spatial statistical model (including particles with diameters ≤ 1.0 µm (PM 1 ), ≤ 2.5 µm (PM 2.5 ), and ≤ 10 µm (PM 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), and ozone (O 3 )). Two-level logistic regression analyses were utilized to assess the associations between air pollutants and MetS. The prevalence of MetS was 30.37%. The adjusted odds ratio of MetS per 10 µg/m 3 increase in PM 1 , PM 2.5 , PM 10 , SO 2 , NO 2 , and O 3 were 1.12 (95% CI = 1.00–1.24), 1.09 (95% CI = 1.00–1.18), 1.13 (95% CI = 1.08–1.19), 1.10 (95% CI = 1.02–1.18), 1.33 (95% CI = 1.12–1.57), and 1.10 (95% CI = 1.01–1.18), respectively. Stratified analyses indicated that the above associations were stronger in participants with the demographic variables of males, < 50 years of age, and higher income, as well as with the behavioral characteristics of smoking, drinking, and consuming sugar-sweetened soft drinks frequently. This study indicates that long-term exposure to ambient air pollutants may increase the risk of MetS, especially among males, the young to middle aged, those of low income, and those with unhealthy lifestyles.

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