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Anemia is associated with long-term exposure to PM(2.5) and its components: a large population-based study in Southwest China

BACKGROUND: Anemia is linked to PM(2.5) (particulate matter with aerodynamic diameters of ⩽2.5 μm) exposure, which can increase the risk of various negative health outcomes. It remains unclear which PM(2.5) components are associated with anemia and the respective contribution of each component to th...

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Autores principales: He, Congyuan, Xie, Linshen, Gu, Lingxi, Yan, Hongyu, Feng, Shiyu, Zeng, Chunmei, Danzhen, Wangjiu, Zhang, Xuehui, Han, Mingming, Li, Zhifeng, Duoji, Zhuoma, Guo, Bing, Zhang, Juying, Hong, Feng, Zhao, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10467225/
https://www.ncbi.nlm.nih.gov/pubmed/37654523
http://dx.doi.org/10.1177/20406207231189922
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author He, Congyuan
Xie, Linshen
Gu, Lingxi
Yan, Hongyu
Feng, Shiyu
Zeng, Chunmei
Danzhen, Wangjiu
Zhang, Xuehui
Han, Mingming
Li, Zhifeng
Duoji, Zhuoma
Guo, Bing
Zhang, Juying
Hong, Feng
Zhao, Xing
author_facet He, Congyuan
Xie, Linshen
Gu, Lingxi
Yan, Hongyu
Feng, Shiyu
Zeng, Chunmei
Danzhen, Wangjiu
Zhang, Xuehui
Han, Mingming
Li, Zhifeng
Duoji, Zhuoma
Guo, Bing
Zhang, Juying
Hong, Feng
Zhao, Xing
author_sort He, Congyuan
collection PubMed
description BACKGROUND: Anemia is linked to PM(2.5) (particulate matter with aerodynamic diameters of ⩽2.5 μm) exposure, which can increase the risk of various negative health outcomes. It remains unclear which PM(2.5) components are associated with anemia and the respective contribution of each component to this association. OBJECTIVE: This study aimed at investigating the association between PM(2.5) and anemia in the general population and to identify the most critical PM(2.5) toxic components in this association. DESIGN: Cross-sectional study. METHODS: Our study involved a large cohort of 73,511 individuals aged 30–79 from China’s multi-ethnic population. We employed satellite observations and the chemical transport model (GEOS-Chem)to estimate the long-term exposure to PM(2.5) and its components. Anemia was defined, according to WHO guidelines, as Hb levels below 130 g/L for men and below 120 g/L for women. Through logistic regression, we investigated the association between PM(2.5) components and anemia. By utilizing weighted quantile sum (WQS) analysis, we identified key components and gained insights into their combined impact on anemia. Overall, our study sheds light on the relationship between PM(2.5) exposure, its constituents, and the risk of anemia in a large cohort. RESULTS: PM(2.5) and three components, nitrate (NIT), organic matter (OM), and soil particles (SOIL), were associated with anemia. Per-standard deviation increase in the 3-year average concentrations of PM(2.5) [odds ratio (OR): 1.14, 95% confidence interval (CI): 1.01, 1.28], NIT (1.20, 1.06, 1.35), OM (1.17, 1.04, 1.32), and SOIL (1.22, 1.11, 1.33) were associated with higher odds of anemia. In WQS regression analysis, the WQS index was associated with anemia (OR: 1.29, 95% CI: 1.13, 1.47). SOIL has the highest weight among all PM(2.5) components. CONCLUSIONS: Long-term exposure to PM(2.5) and its constituents is associated with anemia. Moreover, SOIL might be the most critical component of the relationship between PM(2.5) and anemia. Our research increases the evidence of the association between PM(2.5) and anemia in the general population, and targeted emission control measures should be taken into consideration to mitigate the adverse effects of PM(2.5)-related anemia.
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spelling pubmed-104672252023-08-31 Anemia is associated with long-term exposure to PM(2.5) and its components: a large population-based study in Southwest China He, Congyuan Xie, Linshen Gu, Lingxi Yan, Hongyu Feng, Shiyu Zeng, Chunmei Danzhen, Wangjiu Zhang, Xuehui Han, Mingming Li, Zhifeng Duoji, Zhuoma Guo, Bing Zhang, Juying Hong, Feng Zhao, Xing Ther Adv Hematol Original Research BACKGROUND: Anemia is linked to PM(2.5) (particulate matter with aerodynamic diameters of ⩽2.5 μm) exposure, which can increase the risk of various negative health outcomes. It remains unclear which PM(2.5) components are associated with anemia and the respective contribution of each component to this association. OBJECTIVE: This study aimed at investigating the association between PM(2.5) and anemia in the general population and to identify the most critical PM(2.5) toxic components in this association. DESIGN: Cross-sectional study. METHODS: Our study involved a large cohort of 73,511 individuals aged 30–79 from China’s multi-ethnic population. We employed satellite observations and the chemical transport model (GEOS-Chem)to estimate the long-term exposure to PM(2.5) and its components. Anemia was defined, according to WHO guidelines, as Hb levels below 130 g/L for men and below 120 g/L for women. Through logistic regression, we investigated the association between PM(2.5) components and anemia. By utilizing weighted quantile sum (WQS) analysis, we identified key components and gained insights into their combined impact on anemia. Overall, our study sheds light on the relationship between PM(2.5) exposure, its constituents, and the risk of anemia in a large cohort. RESULTS: PM(2.5) and three components, nitrate (NIT), organic matter (OM), and soil particles (SOIL), were associated with anemia. Per-standard deviation increase in the 3-year average concentrations of PM(2.5) [odds ratio (OR): 1.14, 95% confidence interval (CI): 1.01, 1.28], NIT (1.20, 1.06, 1.35), OM (1.17, 1.04, 1.32), and SOIL (1.22, 1.11, 1.33) were associated with higher odds of anemia. In WQS regression analysis, the WQS index was associated with anemia (OR: 1.29, 95% CI: 1.13, 1.47). SOIL has the highest weight among all PM(2.5) components. CONCLUSIONS: Long-term exposure to PM(2.5) and its constituents is associated with anemia. Moreover, SOIL might be the most critical component of the relationship between PM(2.5) and anemia. Our research increases the evidence of the association between PM(2.5) and anemia in the general population, and targeted emission control measures should be taken into consideration to mitigate the adverse effects of PM(2.5)-related anemia. SAGE Publications 2023-08-28 /pmc/articles/PMC10467225/ /pubmed/37654523 http://dx.doi.org/10.1177/20406207231189922 Text en © The Author(s), 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
He, Congyuan
Xie, Linshen
Gu, Lingxi
Yan, Hongyu
Feng, Shiyu
Zeng, Chunmei
Danzhen, Wangjiu
Zhang, Xuehui
Han, Mingming
Li, Zhifeng
Duoji, Zhuoma
Guo, Bing
Zhang, Juying
Hong, Feng
Zhao, Xing
Anemia is associated with long-term exposure to PM(2.5) and its components: a large population-based study in Southwest China
title Anemia is associated with long-term exposure to PM(2.5) and its components: a large population-based study in Southwest China
title_full Anemia is associated with long-term exposure to PM(2.5) and its components: a large population-based study in Southwest China
title_fullStr Anemia is associated with long-term exposure to PM(2.5) and its components: a large population-based study in Southwest China
title_full_unstemmed Anemia is associated with long-term exposure to PM(2.5) and its components: a large population-based study in Southwest China
title_short Anemia is associated with long-term exposure to PM(2.5) and its components: a large population-based study in Southwest China
title_sort anemia is associated with long-term exposure to pm(2.5) and its components: a large population-based study in southwest china
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10467225/
https://www.ncbi.nlm.nih.gov/pubmed/37654523
http://dx.doi.org/10.1177/20406207231189922
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