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Association of PM(2.5) and Its Chemical Compositions with Metabolic Syndrome: A Nationwide Study in Middle-Aged and Older Chinese Adults

Studies on the association of PM(2.5) and its compositions with metabolic syndrome (MetS) were limited, and it was unclear which was the most hazardous composition. In this study, we aimed to investigate the association between PM(2.5) and its compositions with MetS and identified the most hazardous...

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Autores principales: Guo, Qian, Zhao, Yuchen, Xue, Tao, Zhang, Junfeng, Duan, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690751/
https://www.ncbi.nlm.nih.gov/pubmed/36429390
http://dx.doi.org/10.3390/ijerph192214671
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author Guo, Qian
Zhao, Yuchen
Xue, Tao
Zhang, Junfeng
Duan, Xiaoli
author_facet Guo, Qian
Zhao, Yuchen
Xue, Tao
Zhang, Junfeng
Duan, Xiaoli
author_sort Guo, Qian
collection PubMed
description Studies on the association of PM(2.5) and its compositions with metabolic syndrome (MetS) were limited, and it was unclear which was the most hazardous composition. In this study, we aimed to investigate the association between PM(2.5) and its compositions with MetS and identified the most hazardous composition. In this study, we included 13,418 adults over 45 years across 446 communities from 150 counties of 28 provinces in nationwide China in 2015. MetS was defined based on the five indicators of the Joint Interim Societies, including: blood pressure (SBP (systolic blood pressure) and DBP (diastolic blood pressure)); fasting blood glucose (FBG); fasting triglyceride (FTG); high density lipoprotein cholesterol (HDL-C); and waist circumference (WC). We used chemical transport models to estimate the concentration of PM(2.5) and its compositions, including black carbon, ammonium, nitrate, organic matter, and sulfate. We used a generalized linear regression model to examine the association of PM(2.5) and its compositions with MetS. In this study, we observed that the average age was 61.40 (standard deviation (SD): 9.59). Each IQR (29.76 μg/m(3)) increase in PM(2.5) was associated with a 1.27 (95% CI: 1.17, 1.37) increase in the odds for MetS. We indicated that black carbon showed stronger associations than other compositions. The higher associations were observed among women, participants aged less than 60 years, who lived in urban areas and in the Northeast, smokers, drinkers, and the obese populations. In conclusion, our findings identified the most harmful composition and sensitive populations and regions that required attention, which would be helpful for policymakers.
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spelling pubmed-96907512022-11-25 Association of PM(2.5) and Its Chemical Compositions with Metabolic Syndrome: A Nationwide Study in Middle-Aged and Older Chinese Adults Guo, Qian Zhao, Yuchen Xue, Tao Zhang, Junfeng Duan, Xiaoli Int J Environ Res Public Health Article Studies on the association of PM(2.5) and its compositions with metabolic syndrome (MetS) were limited, and it was unclear which was the most hazardous composition. In this study, we aimed to investigate the association between PM(2.5) and its compositions with MetS and identified the most hazardous composition. In this study, we included 13,418 adults over 45 years across 446 communities from 150 counties of 28 provinces in nationwide China in 2015. MetS was defined based on the five indicators of the Joint Interim Societies, including: blood pressure (SBP (systolic blood pressure) and DBP (diastolic blood pressure)); fasting blood glucose (FBG); fasting triglyceride (FTG); high density lipoprotein cholesterol (HDL-C); and waist circumference (WC). We used chemical transport models to estimate the concentration of PM(2.5) and its compositions, including black carbon, ammonium, nitrate, organic matter, and sulfate. We used a generalized linear regression model to examine the association of PM(2.5) and its compositions with MetS. In this study, we observed that the average age was 61.40 (standard deviation (SD): 9.59). Each IQR (29.76 μg/m(3)) increase in PM(2.5) was associated with a 1.27 (95% CI: 1.17, 1.37) increase in the odds for MetS. We indicated that black carbon showed stronger associations than other compositions. The higher associations were observed among women, participants aged less than 60 years, who lived in urban areas and in the Northeast, smokers, drinkers, and the obese populations. In conclusion, our findings identified the most harmful composition and sensitive populations and regions that required attention, which would be helpful for policymakers. MDPI 2022-11-08 /pmc/articles/PMC9690751/ /pubmed/36429390 http://dx.doi.org/10.3390/ijerph192214671 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guo, Qian
Zhao, Yuchen
Xue, Tao
Zhang, Junfeng
Duan, Xiaoli
Association of PM(2.5) and Its Chemical Compositions with Metabolic Syndrome: A Nationwide Study in Middle-Aged and Older Chinese Adults
title Association of PM(2.5) and Its Chemical Compositions with Metabolic Syndrome: A Nationwide Study in Middle-Aged and Older Chinese Adults
title_full Association of PM(2.5) and Its Chemical Compositions with Metabolic Syndrome: A Nationwide Study in Middle-Aged and Older Chinese Adults
title_fullStr Association of PM(2.5) and Its Chemical Compositions with Metabolic Syndrome: A Nationwide Study in Middle-Aged and Older Chinese Adults
title_full_unstemmed Association of PM(2.5) and Its Chemical Compositions with Metabolic Syndrome: A Nationwide Study in Middle-Aged and Older Chinese Adults
title_short Association of PM(2.5) and Its Chemical Compositions with Metabolic Syndrome: A Nationwide Study in Middle-Aged and Older Chinese Adults
title_sort association of pm(2.5) and its chemical compositions with metabolic syndrome: a nationwide study in middle-aged and older chinese adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690751/
https://www.ncbi.nlm.nih.gov/pubmed/36429390
http://dx.doi.org/10.3390/ijerph192214671
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