The Association of Combined Per- and Polyfluoroalkyl Substances and Metals with Allostatic Load Using Bayesian Kernel Machine Regression.
The Association of Combined Per- and Polyfluoroalkyl Substances and Metals with Allostatic Load Using Bayesian Kernel Machine Regression.
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DOI:
10.3390/diseases11010052
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发表时间:
2023-03-22
期刊:
影响因子:
3.7
通讯作者:
Obeng-Gyasi, Emmanuel
中科院分区:
文献类型:
--
作者:
Bashir, Tahir;Obeng-Gyasi, Emmanuel
Background/Objective: This study aimed to investigate the effect of exposure to per- and polyfluoroalkyl substances (PFAS), a class of organic compounds utilized in commercial and industrial applications, on allostatic load (AL), a measure of chronic stress. PFAS, such as perfluorodecanoic acid (PFDE), perfluorononanoic acid (PFNA), perfluorooctane sulfonic acid (PFOS), perfluoroundecanoic acid (PFUA), perfluorooctanoic acid (PFOA), and perfluorohexane sulfonic acid (PFHS), and metals, such as mercury (Hg), barium (Ba), cadmium (Cd), cobalt (Co), cesium (Cs), molybdenum (Mo), lead (Pb), antimony (Sb), thallium (TI), tungsten (W), and uranium (U) were investigated. This research was performed to explore the effects of combined exposure to PFAS and metals on AL, which may be a disease mediator. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2014 were used to conduct this study on persons aged 20 years and older. A cumulative index of 10 biomarkers from the cardiovascular, inflammatory, and metabolic systems was used to calculate AL out of 10. If the overall index was ≥ 3, an individual was considered to be chronically stressed (in a state of AL). In order to assess the dose-response connections between mixtures and outcomes and to limit the effects of multicollinearity and other potential interaction effects between exposures, Bayesian kernel machine regression (BKMR) was used. Results: The most significant positive trend between mixed PFAS and metal exposure and AL was revealed by combined exposure to cesium, molybdenum, PFHS, PFNA, and mercury (posterior inclusion probabilities, PIP = 1, 1, 0.854, 0.824, and 0.807, respectively). Conclusions: Combined exposure to metals and PFAS increases the likelihood of being in a state of AL.
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影响因子:
1.1
作者:
Sakshaug, Joseph W.;Wisniowski, Arkadiusz;Blom, Annelies G.
通讯作者:
Blom, Annelies G.
DOI:
10.3390/ijerph19095455
发表时间:
2022-04-29
影响因子:
--
作者:
Bashir, Tahir;Obeng-Gyasi, Emmanuel
通讯作者:
Obeng-Gyasi, Emmanuel
DOI:
10.1016/j.ssmph.2016.05.003
发表时间:
2016-12
期刊:
SSM - population health
影响因子:
--
作者:
Salazar CR;Strizich G;Seeman TE;Isasi CR;Gallo LC;Avilés-Santa ML;Cai J;Penedo FJ;Arguelles W;Sanders AE;Lipton RB;Kaplan RC
通讯作者:
Kaplan RC
影响因子:
3.9
作者:
Crimmins, EM;Johnston, M;Seeman, T
通讯作者:
Seeman, T
影响因子:
2.5
作者:
Mottaleb, M. Abdul;Petriello, Michael C.;Morris, Andrew J.
通讯作者:
Morris, Andrew J.