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Association of per- and polyfluoroalkyl substance exposure with metabolic syndrome and its components in adults and adolescents

Per- and polyfluoroalkyl substances (PFAS) are widespread contaminants, but few studies have explored the relationship between PFAS and levels of metabolic syndrome (MetS) in the population. The available evidence of an association is also conflicting. We selected adults and adolescents with complet...

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Autores principales: Zheng, Huizhen, Yin, Ziwei, Luo, Xi, Zhou, Yingli, Zhang, Fei, Guo, Zhihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643431/
https://www.ncbi.nlm.nih.gov/pubmed/37845597
http://dx.doi.org/10.1007/s11356-023-30317-x
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author Zheng, Huizhen
Yin, Ziwei
Luo, Xi
Zhou, Yingli
Zhang, Fei
Guo, Zhihua
author_facet Zheng, Huizhen
Yin, Ziwei
Luo, Xi
Zhou, Yingli
Zhang, Fei
Guo, Zhihua
author_sort Zheng, Huizhen
collection PubMed
description Per- and polyfluoroalkyl substances (PFAS) are widespread contaminants, but few studies have explored the relationship between PFAS and levels of metabolic syndrome (MetS) in the population. The available evidence of an association is also conflicting. We selected adults and adolescents with complete PFAS data from the National Health and Nutrition Examination Survey conducted between 2003 and 2018. We analyzed the association between PFAS and MetS using multivariate logistic regression models and evaluated potential nonlinear relationships with restricted cubic spline models. Additionally, we employed weighted quantile sum (WQS) regressions to uncover the multiple exposure effects and relative weights of each PFAS. Finally, we conducted a series of sensitivity analyses to test the robustness of our findings. In this population-based study, we analyzed data from a total of 4,973 adults, aged 20–85 years, and 1,381 adolescents, aged 12–19 years. Using fully adjusted multivariate logistic regression models, we found that serum levels of perfluorodecanoate (PFDA) [0.65 (0.50, 0.85)] and total PFAS [0.92 (0.85, 0.99)] were negatively associated with the prevalence of MetS in adults. Similarly, in adolescents, we observed negative correlations between the prevalence of MetS and levels of PFDA [0.55 (0.38, 0.80)], perfluorooctanoic acid (PFOA) [0.62 (0.39, 1.00)], perfluorooctane sulfonic acid (PFOS) [0.59 (0.36, 0.96)], and total PFAS [0.61 (0.37, 0.99)]. Additionally, our study identified statistically significant negative associations between serum levels of PFAS and certain components of MetS, primarily elevated fasting glucose and lower high-density lipoprotein cholesterol. Our study found that PFAS was associated with a lower prevalence of MetS in both adults and adolescents, offering new insights into the relationship between PFAS and metabolic health. Interestingly, however, we observed conflicting findings across the components of MetS. Specifically, we observed that PFAS had a negative correlation with some metrics and a positive correlation with others. These conflicting results point to a complex interplay between PFAS and various metrics of metabolic health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-30317-x.
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spelling pubmed-106434312023-11-14 Association of per- and polyfluoroalkyl substance exposure with metabolic syndrome and its components in adults and adolescents Zheng, Huizhen Yin, Ziwei Luo, Xi Zhou, Yingli Zhang, Fei Guo, Zhihua Environ Sci Pollut Res Int Research Article Per- and polyfluoroalkyl substances (PFAS) are widespread contaminants, but few studies have explored the relationship between PFAS and levels of metabolic syndrome (MetS) in the population. The available evidence of an association is also conflicting. We selected adults and adolescents with complete PFAS data from the National Health and Nutrition Examination Survey conducted between 2003 and 2018. We analyzed the association between PFAS and MetS using multivariate logistic regression models and evaluated potential nonlinear relationships with restricted cubic spline models. Additionally, we employed weighted quantile sum (WQS) regressions to uncover the multiple exposure effects and relative weights of each PFAS. Finally, we conducted a series of sensitivity analyses to test the robustness of our findings. In this population-based study, we analyzed data from a total of 4,973 adults, aged 20–85 years, and 1,381 adolescents, aged 12–19 years. Using fully adjusted multivariate logistic regression models, we found that serum levels of perfluorodecanoate (PFDA) [0.65 (0.50, 0.85)] and total PFAS [0.92 (0.85, 0.99)] were negatively associated with the prevalence of MetS in adults. Similarly, in adolescents, we observed negative correlations between the prevalence of MetS and levels of PFDA [0.55 (0.38, 0.80)], perfluorooctanoic acid (PFOA) [0.62 (0.39, 1.00)], perfluorooctane sulfonic acid (PFOS) [0.59 (0.36, 0.96)], and total PFAS [0.61 (0.37, 0.99)]. Additionally, our study identified statistically significant negative associations between serum levels of PFAS and certain components of MetS, primarily elevated fasting glucose and lower high-density lipoprotein cholesterol. Our study found that PFAS was associated with a lower prevalence of MetS in both adults and adolescents, offering new insights into the relationship between PFAS and metabolic health. Interestingly, however, we observed conflicting findings across the components of MetS. Specifically, we observed that PFAS had a negative correlation with some metrics and a positive correlation with others. These conflicting results point to a complex interplay between PFAS and various metrics of metabolic health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-30317-x. Springer Berlin Heidelberg 2023-10-16 2023 /pmc/articles/PMC10643431/ /pubmed/37845597 http://dx.doi.org/10.1007/s11356-023-30317-x 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 Research Article
Zheng, Huizhen
Yin, Ziwei
Luo, Xi
Zhou, Yingli
Zhang, Fei
Guo, Zhihua
Association of per- and polyfluoroalkyl substance exposure with metabolic syndrome and its components in adults and adolescents
title Association of per- and polyfluoroalkyl substance exposure with metabolic syndrome and its components in adults and adolescents
title_full Association of per- and polyfluoroalkyl substance exposure with metabolic syndrome and its components in adults and adolescents
title_fullStr Association of per- and polyfluoroalkyl substance exposure with metabolic syndrome and its components in adults and adolescents
title_full_unstemmed Association of per- and polyfluoroalkyl substance exposure with metabolic syndrome and its components in adults and adolescents
title_short Association of per- and polyfluoroalkyl substance exposure with metabolic syndrome and its components in adults and adolescents
title_sort association of per- and polyfluoroalkyl substance exposure with metabolic syndrome and its components in adults and adolescents
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643431/
https://www.ncbi.nlm.nih.gov/pubmed/37845597
http://dx.doi.org/10.1007/s11356-023-30317-x
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