Polychlorinated biphenyls, polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans, pesticides, and diabetes in the Anniston Community Health Survey follow-up (ACHS II): single exposure and mixture analysis approaches

Pavuk, M.; Rosenbaum, P. F.; Lewin, M. D.; Serio, T. C.; Rago, P.; Cave, M. C.; Birnbaum, L. S.

doi:10.1016/j.scitotenv.2023.162920

Polychlorinated biphenyls, polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans, pesticides, and diabetes in the Anniston Community Health Survey follow-up (ACHS II): single exposure and mixture analysis approaches

Journal Article · Fri Mar 17 00:00:00 EDT 2023 · Science of the Total Environment

DOI:https://doi.org/10.1016/j.scitotenv.2023.162920· OSTI ID:2425763

Pavuk, M. ^[1]; Rosenbaum, P. F. ^[2]; Lewin, M. D. ^[1]; Serio, T. C. ^[3]; Rago, P. ^[4]; Cave, M. C. ^[5]; Birnbaum, L. S. ^[6]

Centers for Disease Control and Prevention (CDC), Atlanta, GA (United States)
SUNY Upstate Medical University, Syracuse, NY (United States)
Centers for Disease Control and Prevention (CDC), Atlanta, GA (United States); ATSDR/CDC, Atlanta, GA (United States)
ATSDR/CDC, Atlanta, GA (United States)
University of Louisville, KY (United States)
NIEHS, Research Triangle Park, NC (United States)

Dioxins and dioxin-like compounds measurements were added to polychlorinated biphenyls (PCBs) and organochlorine pesticides to expand the exposure profile in a follow-up to the Anniston Community Health Survey (ACHS II, 2014) and to study diabetes associations. Participants of ACHS I (2005–2007) still living within the study area were eligible to participate in ACHS II. Diabetes status (type-2) was determined by a doctor's diagnosis, fasting glucose ≥125 mg/dL, or being on any glycemic control medication. Incident diabetes cases were identified in ACHS II among those who did not have diabetes in ACHS I, using the same criteria. Thirty-five ortho-substituted PCBs, 6 pesticides, 7 polychlorinated dibenzo-p-dioxins (PCDD), 10 furans (PCDF), and 3 non-ortho PCBs were measured in 338 ACHS II participants. Dioxin toxic equivalents (TEQs) were calculated for all dioxin-like compounds. Main analyses used logistic regression models to calculate odds ratios (OR) and 95 % confidence intervals (CI). In models adjusted for age, race, sex, BMI, total lipids, family history of diabetes, and taking lipid lowering medication, the highest ORs for diabetes were observed for PCDD TEQ: 3.61 (95 % CI: 1.04, 12.46), dichloro-diphenyl dichloroethylene (p,p’-DDE): 2.07 (95 % CI 1.08, 3.97), and trans-Nonachlor: 2.55 (95 % CI 0.93, 7.02). The OR for sum 35 PCBs was 1.22 (95 % CI: 0.58–2.57). To complement the main analyses, we used BKMR and g-computation models to evaluate 12 mixture components including 4 TEQs, 2 PCB subsets and 6 pesticides; suggestive positive associations for the joint effect of the mixture analyses resulted in ORs of 1.40 (95% CI: -1.13, 3.93) for BKMR and 1.32 (95% CI: -1.12, 3.76) for g-computation. Furthermore, the mixture analyses provide further support to previously observed associations of trans-Nonachlor, p,p’- DDE, PCDD TEQ and some PCB groups with diabetes.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)

Sponsoring Organization:: ATSDR; USDOE Office of Science (SC)

Grant/Contract Number:: SC0014664

OSTI ID:: 2425763

Journal Information:: Science of the Total Environment, Journal Name: Science of the Total Environment Journal Issue: C Vol. 877; ISSN 0048-9697

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Mode of action and dose–response framework analysis for receptor-mediated toxicity: The aryl hydrocarbon receptor as a case study Budinsky, R. A.; Schrenk, D.; Simon, T. Critical Reviews in Toxicology, Vol. 44, Issue 1 https://doi.org/10.3109/10408444.2013.835787	journal	November 2013
Metabolism-Disrupting Chemicals and the Constitutive Androstane Receptor CAR Küblbeck, Jenni; Niskanen, Jonna; Honkakoski, Paavo Cells, Vol. 9, Issue 10 https://doi.org/10.3390/cells9102306	journal	October 2020
The Relationship between Persistent Organic Pollutants Exposure and Type 2 Diabetes among First Nations in Ontario and Manitoba, Canada: A Difference in Difference Analysis Marushka, Lesya; Hu, Xuefeng; Batal, Malek International Journal of Environmental Research and Public Health, Vol. 15, Issue 3 https://doi.org/10.3390/ijerph15030539	journal	March 2018
Persistent Organic Pollutant-Mediated Insulin Resistance Kim, Yeon A.; Park, Joon Beom; Woo, Min Seok International Journal of Environmental Research and Public Health, Vol. 16, Issue 3 https://doi.org/10.3390/ijerph16030448	journal	February 2019
Mixture Effects of Polychlorinated Biphenyls (PCBs) and Three Organochlorine Pesticides on Cognitive Function in Mohawk Adults at Akwesasne Sasaki, Nozomi; Jones, Laura; Morse, Gayle International Journal of Environmental Research and Public Health, Vol. 20, Issue 2 https://doi.org/10.3390/ijerph20021148	journal	January 2023

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