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Effects of short-term PM(2.5) exposure on blood lipids among 197,957 people in eastern China

Globally, air pollution is amongst the most significant causes of premature death. Nevertheless, studies on the relationship between fine particulate matter (PM(2.5)) exposure and blood lipids have typically not been population-based. In a large, community-based sample of residents in Yixing city, w...

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Autores principales: Liu, Qiao, Wang, Zhan, Lu, Junjie, Li, Zhongqi, Martinez, Leonardo, Tao, Bilin, Wang, Chunlai, Zhu, Limei, Lu, Wei, Zhu, Baoli, Pei, Xiaohua, Mao, Xuhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024762/
https://www.ncbi.nlm.nih.gov/pubmed/36934119
http://dx.doi.org/10.1038/s41598-023-31513-y
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author Liu, Qiao
Wang, Zhan
Lu, Junjie
Li, Zhongqi
Martinez, Leonardo
Tao, Bilin
Wang, Chunlai
Zhu, Limei
Lu, Wei
Zhu, Baoli
Pei, Xiaohua
Mao, Xuhua
author_facet Liu, Qiao
Wang, Zhan
Lu, Junjie
Li, Zhongqi
Martinez, Leonardo
Tao, Bilin
Wang, Chunlai
Zhu, Limei
Lu, Wei
Zhu, Baoli
Pei, Xiaohua
Mao, Xuhua
author_sort Liu, Qiao
collection PubMed
description Globally, air pollution is amongst the most significant causes of premature death. Nevertheless, studies on the relationship between fine particulate matter (PM(2.5)) exposure and blood lipids have typically not been population-based. In a large, community-based sample of residents in Yixing city, we assessed the relationship between short-term outdoor PM(2.5) exposure and blood lipid concentrations. Participants who attended the physical examination were enrolled from Yixing People’s hospital from 2015 to 2020. We collected general characteristics of participants, including gender and age, as well as test results of indicators of blood lipids. Data on daily meteorological factors were collected from the National Meteorological Data Sharing Center (http://data.cma.cn/) and air pollutant concentrations were collected from the China Air Quality Online Monitoring and Analysis Platform (https://www.aqistudy.cn/) during this period. We applied generalized additive models to estimate short-term effects of ambient PM(2.5) exposure on each measured blood lipid-related indicators and converted these indicators into dichotomous variables (non- hyperlipidemia and hyperlipidemia) to calculate risks of hyperlipidemia associated with PM(2.5) exposure. A total of 197,957 participants were included in the analysis with mean age 47.90 years (± SD, 14.28). The increase in PM(2.5) was significantly associated with hyperlipidemia (odds ratio (OR) 1.003, 95% CI 1.001–1.004), and it was still significant in subgroups of males and age < 60 years. For every 10 μg/m(3) increase in PM(2.5), triglyceride levels decreased by 0.5447% (95% CI − 0.7873, − 0.3015), the low-density lipoprotein cholesterol concentration increased by 0.0127 mmol/L (95% CI 0.0099, 0.0156), the total cholesterol concentration increased by 0.0095 mmol/L (95% CI 0.0053, 0.0136), and no significant association was observed between PM(2.5) and the high-density lipoprotein cholesterol concentration. After excluding people with abnormal blood lipid concentrations, the associations remained significant except for the high-density lipoprotein cholesterol concentration. PM(2.5) was positively correlated with low-density lipoprotein cholesterol and total cholesterol, and negatively correlated with triglyceride, indicating PM(2.5) can potentially affect health through blood lipid levels.
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spelling pubmed-100247622023-03-20 Effects of short-term PM(2.5) exposure on blood lipids among 197,957 people in eastern China Liu, Qiao Wang, Zhan Lu, Junjie Li, Zhongqi Martinez, Leonardo Tao, Bilin Wang, Chunlai Zhu, Limei Lu, Wei Zhu, Baoli Pei, Xiaohua Mao, Xuhua Sci Rep Article Globally, air pollution is amongst the most significant causes of premature death. Nevertheless, studies on the relationship between fine particulate matter (PM(2.5)) exposure and blood lipids have typically not been population-based. In a large, community-based sample of residents in Yixing city, we assessed the relationship between short-term outdoor PM(2.5) exposure and blood lipid concentrations. Participants who attended the physical examination were enrolled from Yixing People’s hospital from 2015 to 2020. We collected general characteristics of participants, including gender and age, as well as test results of indicators of blood lipids. Data on daily meteorological factors were collected from the National Meteorological Data Sharing Center (http://data.cma.cn/) and air pollutant concentrations were collected from the China Air Quality Online Monitoring and Analysis Platform (https://www.aqistudy.cn/) during this period. We applied generalized additive models to estimate short-term effects of ambient PM(2.5) exposure on each measured blood lipid-related indicators and converted these indicators into dichotomous variables (non- hyperlipidemia and hyperlipidemia) to calculate risks of hyperlipidemia associated with PM(2.5) exposure. A total of 197,957 participants were included in the analysis with mean age 47.90 years (± SD, 14.28). The increase in PM(2.5) was significantly associated with hyperlipidemia (odds ratio (OR) 1.003, 95% CI 1.001–1.004), and it was still significant in subgroups of males and age < 60 years. For every 10 μg/m(3) increase in PM(2.5), triglyceride levels decreased by 0.5447% (95% CI − 0.7873, − 0.3015), the low-density lipoprotein cholesterol concentration increased by 0.0127 mmol/L (95% CI 0.0099, 0.0156), the total cholesterol concentration increased by 0.0095 mmol/L (95% CI 0.0053, 0.0136), and no significant association was observed between PM(2.5) and the high-density lipoprotein cholesterol concentration. After excluding people with abnormal blood lipid concentrations, the associations remained significant except for the high-density lipoprotein cholesterol concentration. PM(2.5) was positively correlated with low-density lipoprotein cholesterol and total cholesterol, and negatively correlated with triglyceride, indicating PM(2.5) can potentially affect health through blood lipid levels. Nature Publishing Group UK 2023-03-18 /pmc/articles/PMC10024762/ /pubmed/36934119 http://dx.doi.org/10.1038/s41598-023-31513-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Liu, Qiao
Wang, Zhan
Lu, Junjie
Li, Zhongqi
Martinez, Leonardo
Tao, Bilin
Wang, Chunlai
Zhu, Limei
Lu, Wei
Zhu, Baoli
Pei, Xiaohua
Mao, Xuhua
Effects of short-term PM(2.5) exposure on blood lipids among 197,957 people in eastern China
title Effects of short-term PM(2.5) exposure on blood lipids among 197,957 people in eastern China
title_full Effects of short-term PM(2.5) exposure on blood lipids among 197,957 people in eastern China
title_fullStr Effects of short-term PM(2.5) exposure on blood lipids among 197,957 people in eastern China
title_full_unstemmed Effects of short-term PM(2.5) exposure on blood lipids among 197,957 people in eastern China
title_short Effects of short-term PM(2.5) exposure on blood lipids among 197,957 people in eastern China
title_sort effects of short-term pm(2.5) exposure on blood lipids among 197,957 people in eastern china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024762/
https://www.ncbi.nlm.nih.gov/pubmed/36934119
http://dx.doi.org/10.1038/s41598-023-31513-y
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