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Effects of long-term PM(2.5) exposure on metabolic syndrome among adults and elderly in Guangdong, China
BACKGROUND: We aimed to explore the association between long-term exposure to particulate matter ≤ 2.5 µm (PM(2.5)) and metabolic syndrome (MetS) and its components including fasting blood glucose (FBG), blood pressure, triglyceride (TG), high-density lipoprotein cholesterol (HDL-c) and waist circum...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464395/ https://www.ncbi.nlm.nih.gov/pubmed/36088422 http://dx.doi.org/10.1186/s12940-022-00888-2 |
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author | Zheng, Xue-yan Tang, Si-li Liu, Tao Wang, Ye Xu, Xiao-jun Xiao, Ni Li, Chuan Xu, Yan-jun He, Zhao-xuan Ma, Shu-li Chen, Yu-liang Meng, Rui-lin Lin, Li-feng |
author_facet | Zheng, Xue-yan Tang, Si-li Liu, Tao Wang, Ye Xu, Xiao-jun Xiao, Ni Li, Chuan Xu, Yan-jun He, Zhao-xuan Ma, Shu-li Chen, Yu-liang Meng, Rui-lin Lin, Li-feng |
author_sort | Zheng, Xue-yan |
collection | PubMed |
description | BACKGROUND: We aimed to explore the association between long-term exposure to particulate matter ≤ 2.5 µm (PM(2.5)) and metabolic syndrome (MetS) and its components including fasting blood glucose (FBG), blood pressure, triglyceride (TG), high-density lipoprotein cholesterol (HDL-c) and waist circumference among adults and elderly in south China. METHODS: We surveyed 6628 participants in the chronic disease and risk factors surveillance conducted in 14 districts of Guangdong province in 2015. MetS was defined based on the recommendation by the Joint Interim Societies’ criteria. We used the spatiotemporal land-use regression (LUR) model to estimate the two-year average exposure of ambient air pollutants (PM(2.5), PM(10), SO(2), NO(2), and O(3)) at individual levels. We recorded other covariates by using a structured questionnaire. Generalized linear mixed model was used for analysis. RESULTS: A 10-μg/m(3) increase in the two-year mean PM(2.5) exposure was associated with a higher risk of developing MetS [odd ratio (OR): 1.17, 95% confidence interval (CI): 1.01, 1.35], increased risk of fasting blood glucose level. (OR: 1.18, 95% CI: 1.02, 1.36), and hypertriglyceridemia (OR: 1.36, 95% CI: 1.18, 1.58) in the adjusted/unadjusted models (all P < 0.05). We found significant interaction between PM(2.5) and the region, exercise on the high TG levels, and an interaction with the region, age, exercise and grain consumption on FBG (P (interaction) < 0.05). CONCLUSIONS: Long-term exposure to PM(2.5) was associated with MetS, dyslipidemia and FBG impairment. Efforts should be made for environment improvement to reduce the burden of MetS-associated non-communicable disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-022-00888-2. |
format | Online Article Text |
id | pubmed-9464395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94643952022-09-12 Effects of long-term PM(2.5) exposure on metabolic syndrome among adults and elderly in Guangdong, China Zheng, Xue-yan Tang, Si-li Liu, Tao Wang, Ye Xu, Xiao-jun Xiao, Ni Li, Chuan Xu, Yan-jun He, Zhao-xuan Ma, Shu-li Chen, Yu-liang Meng, Rui-lin Lin, Li-feng Environ Health Research BACKGROUND: We aimed to explore the association between long-term exposure to particulate matter ≤ 2.5 µm (PM(2.5)) and metabolic syndrome (MetS) and its components including fasting blood glucose (FBG), blood pressure, triglyceride (TG), high-density lipoprotein cholesterol (HDL-c) and waist circumference among adults and elderly in south China. METHODS: We surveyed 6628 participants in the chronic disease and risk factors surveillance conducted in 14 districts of Guangdong province in 2015. MetS was defined based on the recommendation by the Joint Interim Societies’ criteria. We used the spatiotemporal land-use regression (LUR) model to estimate the two-year average exposure of ambient air pollutants (PM(2.5), PM(10), SO(2), NO(2), and O(3)) at individual levels. We recorded other covariates by using a structured questionnaire. Generalized linear mixed model was used for analysis. RESULTS: A 10-μg/m(3) increase in the two-year mean PM(2.5) exposure was associated with a higher risk of developing MetS [odd ratio (OR): 1.17, 95% confidence interval (CI): 1.01, 1.35], increased risk of fasting blood glucose level. (OR: 1.18, 95% CI: 1.02, 1.36), and hypertriglyceridemia (OR: 1.36, 95% CI: 1.18, 1.58) in the adjusted/unadjusted models (all P < 0.05). We found significant interaction between PM(2.5) and the region, exercise on the high TG levels, and an interaction with the region, age, exercise and grain consumption on FBG (P (interaction) < 0.05). CONCLUSIONS: Long-term exposure to PM(2.5) was associated with MetS, dyslipidemia and FBG impairment. Efforts should be made for environment improvement to reduce the burden of MetS-associated non-communicable disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-022-00888-2. BioMed Central 2022-09-10 /pmc/articles/PMC9464395/ /pubmed/36088422 http://dx.doi.org/10.1186/s12940-022-00888-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zheng, Xue-yan Tang, Si-li Liu, Tao Wang, Ye Xu, Xiao-jun Xiao, Ni Li, Chuan Xu, Yan-jun He, Zhao-xuan Ma, Shu-li Chen, Yu-liang Meng, Rui-lin Lin, Li-feng Effects of long-term PM(2.5) exposure on metabolic syndrome among adults and elderly in Guangdong, China |
title | Effects of long-term PM(2.5) exposure on metabolic syndrome among adults and elderly in Guangdong, China |
title_full | Effects of long-term PM(2.5) exposure on metabolic syndrome among adults and elderly in Guangdong, China |
title_fullStr | Effects of long-term PM(2.5) exposure on metabolic syndrome among adults and elderly in Guangdong, China |
title_full_unstemmed | Effects of long-term PM(2.5) exposure on metabolic syndrome among adults and elderly in Guangdong, China |
title_short | Effects of long-term PM(2.5) exposure on metabolic syndrome among adults and elderly in Guangdong, China |
title_sort | effects of long-term pm(2.5) exposure on metabolic syndrome among adults and elderly in guangdong, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464395/ https://www.ncbi.nlm.nih.gov/pubmed/36088422 http://dx.doi.org/10.1186/s12940-022-00888-2 |
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