Is the cholesterol-perfluoroalkyl substance association confounded by dietary fiber intake?: a Bayesian analysis of NHANES data with adjustment for measurement error in fiber intake
Background Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a rec...
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Published in | Environmental health Vol. 21; no. 1; pp. 114 - 7 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BioMed Central
22.11.2022
BioMed Central Ltd BMC |
Subjects | |
Online Access | Get full text |
ISSN | 1476-069X 1476-069X |
DOI | 10.1186/s12940-022-00923-2 |
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Abstract | Background
Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a recent report based on National Health and Nutrition Examination Survey (NHANES) showed that PFAS and fiber are inversely associated. We hypothesized that confounding by dietary fiber may account for some of the association between cholesterol and PFAS.
Methods
We implemented a Bayesian correction for measurement error in estimated intake of dietary fiber to evaluate whether fiber confounds the cholesterol-PFAS association. The NHANES measure of diet, two 24-h recalls, allowed calculation of an estimate of the “true” long-term fiber intake for each subject. We fit models to the NHANES data on serum cholesterol and serum concentration of perfluorooctanoic acid (PFOA) and two other PFAS for 7,242 participants in NHANES.
Results
The Bayesian model, after adjustment for soluble fiber intake, suggested a decrease in the size of the coefficient for PFOA by 6.4% compared with the fiber-unadjusted model.
Conclusions
The results indicated that the association of serum cholesterol with PFAS was not substantially confounded by fiber intake. |
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AbstractList | Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a recent report based on National Health and Nutrition Examination Survey (NHANES) showed that PFAS and fiber are inversely associated. We hypothesized that confounding by dietary fiber may account for some of the association between cholesterol and PFAS.BACKGROUNDSerum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a recent report based on National Health and Nutrition Examination Survey (NHANES) showed that PFAS and fiber are inversely associated. We hypothesized that confounding by dietary fiber may account for some of the association between cholesterol and PFAS.We implemented a Bayesian correction for measurement error in estimated intake of dietary fiber to evaluate whether fiber confounds the cholesterol-PFAS association. The NHANES measure of diet, two 24-h recalls, allowed calculation of an estimate of the "true" long-term fiber intake for each subject. We fit models to the NHANES data on serum cholesterol and serum concentration of perfluorooctanoic acid (PFOA) and two other PFAS for 7,242 participants in NHANES.METHODSWe implemented a Bayesian correction for measurement error in estimated intake of dietary fiber to evaluate whether fiber confounds the cholesterol-PFAS association. The NHANES measure of diet, two 24-h recalls, allowed calculation of an estimate of the "true" long-term fiber intake for each subject. We fit models to the NHANES data on serum cholesterol and serum concentration of perfluorooctanoic acid (PFOA) and two other PFAS for 7,242 participants in NHANES.The Bayesian model, after adjustment for soluble fiber intake, suggested a decrease in the size of the coefficient for PFOA by 6.4% compared with the fiber-unadjusted model.RESULTSThe Bayesian model, after adjustment for soluble fiber intake, suggested a decrease in the size of the coefficient for PFOA by 6.4% compared with the fiber-unadjusted model.The results indicated that the association of serum cholesterol with PFAS was not substantially confounded by fiber intake.CONCLUSIONSThe results indicated that the association of serum cholesterol with PFAS was not substantially confounded by fiber intake. Background Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a recent report based on National Health and Nutrition Examination Survey (NHANES) showed that PFAS and fiber are inversely associated. We hypothesized that confounding by dietary fiber may account for some of the association between cholesterol and PFAS. Methods We implemented a Bayesian correction for measurement error in estimated intake of dietary fiber to evaluate whether fiber confounds the cholesterol-PFAS association. The NHANES measure of diet, two 24-h recalls, allowed calculation of an estimate of the "true" long-term fiber intake for each subject. We fit models to the NHANES data on serum cholesterol and serum concentration of perfluorooctanoic acid (PFOA) and two other PFAS for 7,242 participants in NHANES. Results The Bayesian model, after adjustment for soluble fiber intake, suggested a decrease in the size of the coefficient for PFOA by 6.4% compared with the fiber-unadjusted model. Conclusions The results indicated that the association of serum cholesterol with PFAS was not substantially confounded by fiber intake. Keywords: Serum cholesterol, PFAS, Confounding, Dietary fiber, Bayesian models, Measurement error correction Background Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a recent report based on National Health and Nutrition Examination Survey (NHANES) showed that PFAS and fiber are inversely associated. We hypothesized that confounding by dietary fiber may account for some of the association between cholesterol and PFAS. Methods We implemented a Bayesian correction for measurement error in estimated intake of dietary fiber to evaluate whether fiber confounds the cholesterol-PFAS association. The NHANES measure of diet, two 24-h recalls, allowed calculation of an estimate of the “true” long-term fiber intake for each subject. We fit models to the NHANES data on serum cholesterol and serum concentration of perfluorooctanoic acid (PFOA) and two other PFAS for 7,242 participants in NHANES. Results The Bayesian model, after adjustment for soluble fiber intake, suggested a decrease in the size of the coefficient for PFOA by 6.4% compared with the fiber-unadjusted model. Conclusions The results indicated that the association of serum cholesterol with PFAS was not substantially confounded by fiber intake. Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a recent report based on National Health and Nutrition Examination Survey (NHANES) showed that PFAS and fiber are inversely associated. We hypothesized that confounding by dietary fiber may account for some of the association between cholesterol and PFAS. We implemented a Bayesian correction for measurement error in estimated intake of dietary fiber to evaluate whether fiber confounds the cholesterol-PFAS association. The NHANES measure of diet, two 24-h recalls, allowed calculation of an estimate of the "true" long-term fiber intake for each subject. We fit models to the NHANES data on serum cholesterol and serum concentration of perfluorooctanoic acid (PFOA) and two other PFAS for 7,242 participants in NHANES. The Bayesian model, after adjustment for soluble fiber intake, suggested a decrease in the size of the coefficient for PFOA by 6.4% compared with the fiber-unadjusted model. The results indicated that the association of serum cholesterol with PFAS was not substantially confounded by fiber intake. Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a recent report based on National Health and Nutrition Examination Survey (NHANES) showed that PFAS and fiber are inversely associated. We hypothesized that confounding by dietary fiber may account for some of the association between cholesterol and PFAS. We implemented a Bayesian correction for measurement error in estimated intake of dietary fiber to evaluate whether fiber confounds the cholesterol-PFAS association. The NHANES measure of diet, two 24-h recalls, allowed calculation of an estimate of the "true" long-term fiber intake for each subject. We fit models to the NHANES data on serum cholesterol and serum concentration of perfluorooctanoic acid (PFOA) and two other PFAS for 7,242 participants in NHANES. The Bayesian model, after adjustment for soluble fiber intake, suggested a decrease in the size of the coefficient for PFOA by 6.4% compared with the fiber-unadjusted model. The results indicated that the association of serum cholesterol with PFAS was not substantially confounded by fiber intake. Abstract Background Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a recent report based on National Health and Nutrition Examination Survey (NHANES) showed that PFAS and fiber are inversely associated. We hypothesized that confounding by dietary fiber may account for some of the association between cholesterol and PFAS. Methods We implemented a Bayesian correction for measurement error in estimated intake of dietary fiber to evaluate whether fiber confounds the cholesterol-PFAS association. The NHANES measure of diet, two 24-h recalls, allowed calculation of an estimate of the “true” long-term fiber intake for each subject. We fit models to the NHANES data on serum cholesterol and serum concentration of perfluorooctanoic acid (PFOA) and two other PFAS for 7,242 participants in NHANES. Results The Bayesian model, after adjustment for soluble fiber intake, suggested a decrease in the size of the coefficient for PFOA by 6.4% compared with the fiber-unadjusted model. Conclusions The results indicated that the association of serum cholesterol with PFAS was not substantially confounded by fiber intake. Background Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances (PFAS) in humans, even among those with only background-level exposure to PFAS. Fiber is known to decrease serum cholesterol and a recent report based on National Health and Nutrition Examination Survey (NHANES) showed that PFAS and fiber are inversely associated. We hypothesized that confounding by dietary fiber may account for some of the association between cholesterol and PFAS. Methods We implemented a Bayesian correction for measurement error in estimated intake of dietary fiber to evaluate whether fiber confounds the cholesterol-PFAS association. The NHANES measure of diet, two 24-h recalls, allowed calculation of an estimate of the “true” long-term fiber intake for each subject. We fit models to the NHANES data on serum cholesterol and serum concentration of perfluorooctanoic acid (PFOA) and two other PFAS for 7,242 participants in NHANES. Results The Bayesian model, after adjustment for soluble fiber intake, suggested a decrease in the size of the coefficient for PFOA by 6.4% compared with the fiber-unadjusted model. Conclusions The results indicated that the association of serum cholesterol with PFAS was not substantially confounded by fiber intake. |
ArticleNumber | 114 |
Audience | Academic |
Author | Allen, Bruce C Gustafson, Paul Keast, Debra R Van Landingham, Cynthia Linakis, Matthew W Bachand, Annette M Longnecker, Matthew P |
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CitedBy_id | crossref_primary_10_1016_j_envres_2024_118434 |
Cites_doi | 10.1093/ije/dyh057 10.1016/j.tox.2021.152845 10.1016/j.ecoenv.2019.02.061 10.1016/0272-0590(84)90235-5 10.1081/DCT-100101973 10.1289/EHP6785 10.1097/EDE.0b013e31829443ee 10.2217/clp.12.66 10.1021/es401905e 10.1201/9780203502761 10.1093/toxsci/69.1.244 10.1136/oemed-2017-104651 10.1177/0962280216667764 10.1002/sim.8531 10.1073/pnas.84.17.6259 10.1021/acs.estlett.0c00410 10.1093/ajcn/69.1.30 10.1016/j.puhe.2010.03.002 10.1201/b18308 10.1016/j.chemosphere.2013.10.005 10.1093/toxsci/kfy035 10.1093/ajcn/65.4.1220S 10.1016/S0002-8223(21)03818-9 10.1080/10408444.2021.1888073 10.1289/ehp.1307943 10.1093/aje/kwp279 10.2105/AJPH.81.9.1166 10.1016/j.envint.2020.106292 10.1038/s41370-018-0094-1 10.1289/ehp.10009 10.1093/oxfordjournals.aje.a116875 10.1002/ieam.258 10.1002/sim.8532 |
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Keywords | Bayesian models Confounding Serum cholesterol Dietary fiber PFAS Measurement error correction |
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References | J Johnson (923_CR21) 1984; 4 SJ Genuis (923_CR20) 2010; 124 EL Korn (923_CR37) 1991; 81 Y Li (923_CR38) 2018; 75 K Steenland (923_CR36) 2009; 170 N Fitz-Simon (923_CR13) 2013; 24 P Gustafson (923_CR23) 2015 RH Keogh (923_CR29) 2020; 39 DM Hegsted (923_CR41) 1987; 84 S Fragki (923_CR16) 2021; 51 GW Olsen (923_CR11) 2000; 23 ME Andersen (923_CR5) 2021; 459 GW Olsen (923_CR12) 2007; 115 M Convertino (923_CR15) 2018; 163 923_CR10 923_CR32 S Richardson (923_CR30) 1993; 138 A Gelman (923_CR33) 2014 SD Geiger (923_CR34) 2014; 98 JW Nelson (923_CR35) 2010; 118 EM Sunderland (923_CR3) 2019; 29 MW Dzierlenga (923_CR18) 2021; 146 HK Knutsen (923_CR8) 2018; 16 MJ Sorrentino (923_CR19) 2012; 7 MA Pereira (923_CR42) 2004; 33 PA Shaw (923_CR31) 2020; 39 Z Dong (923_CR4) 2019; 173 923_CR26 923_CR28 Y Zhang (923_CR40) 2013; 47 S Chang (923_CR7) 2017; 156 L Brown (923_CR17) 1999; 69 Y Xu (923_CR39) 2020; 128 J Butenhoff (923_CR6) 2002; 69 A Winquist (923_CR14) 2014; 122 G Zipf (923_CR25) 2013; 1 RC Buck (923_CR1) 2011; 7 WC Willett (923_CR27) 1997; 65 923_CR9 JW Bartlett (923_CR24) 2018; 27 RL Karvetti (923_CR43) 1985; 85 P Gustafson (923_CR22) 2003 GF Peaslee (923_CR2) 2020; 7 |
References_xml | – volume: 33 start-page: 534 year: 2004 ident: 923_CR42 publication-title: Int J Epidemiol doi: 10.1093/ije/dyh057 – volume: 156 start-page: 387 year: 2017 ident: 923_CR7 publication-title: Toxicol Sci – volume: 459 start-page: 152845 year: 2021 ident: 923_CR5 publication-title: Toxicology doi: 10.1016/j.tox.2021.152845 – volume-title: Bayesian data analysis year: 2014 ident: 923_CR33 – volume: 173 start-page: 461 year: 2019 ident: 923_CR4 publication-title: Ecotoxicol Environ Saf doi: 10.1016/j.ecoenv.2019.02.061 – volume: 4 start-page: 972 year: 1984 ident: 923_CR21 publication-title: Fundam Appl Toxicol doi: 10.1016/0272-0590(84)90235-5 – volume: 23 start-page: 603 year: 2000 ident: 923_CR11 publication-title: Drug Chem Toxicol doi: 10.1081/DCT-100101973 – volume: 1 start-page: 1 year: 2013 ident: 923_CR25 publication-title: Vital Health Stat – volume: 128 start-page: 77004 year: 2020 ident: 923_CR39 publication-title: Environ Health Perspect doi: 10.1289/EHP6785 – ident: 923_CR32 – volume: 24 start-page: 569 year: 2013 ident: 923_CR13 publication-title: Epidemiol doi: 10.1097/EDE.0b013e31829443ee – volume: 7 start-page: 721 year: 2012 ident: 923_CR19 publication-title: Clin Lipidol doi: 10.2217/clp.12.66 – ident: 923_CR28 – volume: 47 start-page: 10619 year: 2013 ident: 923_CR40 publication-title: Environ Sci Technol doi: 10.1021/es401905e – volume-title: Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments year: 2003 ident: 923_CR22 doi: 10.1201/9780203502761 – volume: 69 start-page: 244 year: 2002 ident: 923_CR6 publication-title: Toxicol Sci doi: 10.1093/toxsci/69.1.244 – ident: 923_CR26 – volume: 75 start-page: 46 year: 2018 ident: 923_CR38 publication-title: Occup Environ Med doi: 10.1136/oemed-2017-104651 – volume: 27 start-page: 1695 year: 2018 ident: 923_CR24 publication-title: Stat Methods Med Res doi: 10.1177/0962280216667764 – volume: 39 start-page: 2232 year: 2020 ident: 923_CR31 publication-title: Stat Med doi: 10.1002/sim.8531 – volume: 118 start-page: 197 year: 2010 ident: 923_CR35 publication-title: National Inst Environ Health Sciences – volume: 84 start-page: 6259 year: 1987 ident: 923_CR41 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.84.17.6259 – volume: 7 start-page: 594 year: 2020 ident: 923_CR2 publication-title: Environ Sci Technol Lett. American Chemical Society doi: 10.1021/acs.estlett.0c00410 – volume: 69 start-page: 30 year: 1999 ident: 923_CR17 publication-title: Am J Clin Nutr doi: 10.1093/ajcn/69.1.30 – volume: 124 start-page: 367 year: 2010 ident: 923_CR20 publication-title: Public Health doi: 10.1016/j.puhe.2010.03.002 – volume-title: Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data year: 2015 ident: 923_CR23 doi: 10.1201/b18308 – volume: 98 start-page: 78 year: 2014 ident: 923_CR34 publication-title: Chemosphere Elsevier doi: 10.1016/j.chemosphere.2013.10.005 – ident: 923_CR9 – volume: 163 start-page: 293 year: 2018 ident: 923_CR15 publication-title: Toxicol Sci doi: 10.1093/toxsci/kfy035 – volume: 65 start-page: 1220S year: 1997 ident: 923_CR27 publication-title: Am J Clin Nutr doi: 10.1093/ajcn/65.4.1220S – ident: 923_CR10 – volume: 85 start-page: 1437 year: 1985 ident: 923_CR43 publication-title: J Am Diet Assoc doi: 10.1016/S0002-8223(21)03818-9 – volume: 16 start-page: e05194 year: 2018 ident: 923_CR8 publication-title: EFSA J – volume: 51 start-page: 141 year: 2021 ident: 923_CR16 publication-title: Crit Rev Toxicol doi: 10.1080/10408444.2021.1888073 – volume: 122 start-page: 1299 year: 2014 ident: 923_CR14 publication-title: Environ Health Perspect doi: 10.1289/ehp.1307943 – volume: 170 start-page: 1268 year: 2009 ident: 923_CR36 publication-title: Am J Epidemiol doi: 10.1093/aje/kwp279 – volume: 81 start-page: 1166 year: 1991 ident: 923_CR37 publication-title: Am J Public Health doi: 10.2105/AJPH.81.9.1166 – volume: 146 start-page: 106292 year: 2021 ident: 923_CR18 publication-title: Environ Int doi: 10.1016/j.envint.2020.106292 – volume: 29 start-page: 131 year: 2019 ident: 923_CR3 publication-title: J Expo Sci Environ Epidemiol doi: 10.1038/s41370-018-0094-1 – volume: 115 start-page: 1298 year: 2007 ident: 923_CR12 publication-title: Environ Health Perspect doi: 10.1289/ehp.10009 – volume: 138 start-page: 430 year: 1993 ident: 923_CR30 publication-title: Am J Epidemiol doi: 10.1093/oxfordjournals.aje.a116875 – volume: 7 start-page: 513 year: 2011 ident: 923_CR1 publication-title: Integr Environ Assess Manag doi: 10.1002/ieam.258 – volume: 39 start-page: 2197 year: 2020 ident: 923_CR29 publication-title: Stat Med doi: 10.1002/sim.8532 |
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Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl... Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl substances... Background Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and polyfluoroalkyl... Abstract Background Serum concentrations of total cholesterol and related lipid measures have been associated with serum concentrations of per- and... |
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SubjectTerms | Acids Bayes Theorem Bayesian analysis Bayesian models Bile Blood cholesterol Cholesterol Confounding Confounding (Statistics) Dietary Fiber Dietary intake Earth and Environmental Science Energy Environment Environmental Health Error correction Fiber in human nutrition Fluorocarbons Food contamination & poisoning Food intake Health aspects Humans Lipids Mathematical models Measurement Measurement error correction Metabolism Nutrition research Nutrition Surveys Occupational Medicine/Industrial Medicine Perfluoroalkyl & polyfluoroalkyl substances Perfluorooctanoic acid PFAS Public Health Serum cholesterol Variables |
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Title | Is the cholesterol-perfluoroalkyl substance association confounded by dietary fiber intake?: a Bayesian analysis of NHANES data with adjustment for measurement error in fiber intake |
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