Polychlorinated Biphenyl (PCB) Exposure and Diabetes: Results from the Anniston Community Health Survey.
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| Title: | Polychlorinated Biphenyl (PCB) Exposure and Diabetes: Results from the Anniston Community Health Survey. |
|---|---|
| Authors: | Silverstone, Allen E.1 silversa@upstate.edu, Rosenbaum, Paula F.1, Weinstock, Ruth S.1,2, Bartell, Scott M.3, Foushee, Herman R.4, Shelton, Christie5, Pavuk, Marian6 |
| Source: | Environmental Health Perspectives. May2012, Vol. 120 Issue 5, p727-732. 6p. 5 Charts, 1 Graph. |
| Subject Terms: | *Pollutants, *Epidemiology, *Polychlorinated biphenyls, Diagnosis of diabetes, Diabetes risk factors, Risk factors of environmental exposure, Analysis of variance, Blood testing, Chi-squared test, Confidence intervals, Statistical correlation, Diabetes, Lipids, Multivariate analysis, Questionnaires, Regression analysis, Research funding, Statistical sampling, Statistics, Surveys, T-test (Statistics), Logistic regression analysis, Data analysis, Disease prevalence, Cross-sectional method, Data analysis software, Descriptive statistics, History |
| Geographic Terms: | Alabama |
| Abstract: | Background: Polychlorinated biphenyls (PCBs) manufactured in Anniston, Alabama, from 1929 to 1971 caused significant environmental contamination. The Anniston population remains one of the most highly exposed in the world. Objectives: Reports of increased diabetes in PCB-exposed populations led us to examine possible associations in Anniston residents. Methods: Volunteers (n = 774) from a cross-sectional study of randomly selected households and adults who completed the Anniston Community Health Survey also underwent measurements of height, weight, fasting glucose, lipid, and PCB congener levels and verification of medications. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the relationships between PCBs and diabetes, adjusting for diabetes risk factors. Participants with prediabetes were excluded from the logistic regression analyses. Results: Participants were 47% African American, 70% female, with a mean age of 54.8 years. The prevalence of diabetes was 27% in the study population, corresponding to an estimated prevalence of 16% for Anniston overall; the PCB body burden of 35 major congeners ranged from 0.11 to 170.42 ppb, wet weight. The adjusted OR comparing the prevalence of diabetes in the fifth versus first quintile of serum PCB was 2.78 (95% CI: 1.00, 7.73), with similar associations estimated for second through fourth quintiles. In participants < 55 years of age, the adjusted OR for diabetes for the highest versus lowest quintile was 4.78 (95% CI: 1.11, 20.6), whereas in those ≥ 55 years of age, we observed no significant associations with PCBs. Elevated diabetes prevalence was observed with a 1 SD increase in log PCB levels in women (OR = 1.52; 95% CI: 1.01, 2.28); a decreased prevalence was observed in men (OR = 0.68; 95% CI: 0.33, 1.41). Conclusions: We observed significant associations between elevated PCB levels and diabetes mostly due to associations in women and in individuals < 55 years of age. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 75165045 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Polychlorinated Biphenyl (PCB) Exposure and Diabetes: Results from the Anniston Community Health Survey. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Silverstone%2C+Allen+E%2E%22">Silverstone, Allen E.</searchLink><relatesTo>1</relatesTo><i> silversa@upstate.edu</i><br /><searchLink fieldCode="AR" term="%22Rosenbaum%2C+Paula+F%2E%22">Rosenbaum, Paula F.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Weinstock%2C+Ruth+S%2E%22">Weinstock, Ruth S.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Bartell%2C+Scott+M%2E%22">Bartell, Scott M.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Foushee%2C+Herman+R%2E%22">Foushee, Herman R.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Shelton%2C+Christie%22">Shelton, Christie</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Pavuk%2C+Marian%22">Pavuk, Marian</searchLink><relatesTo>6</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. May2012, Vol. 120 Issue 5, p727-732. 6p. 5 Charts, 1 Graph. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Pollutants%22">Pollutants</searchLink><br />*<searchLink fieldCode="DE" term="%22Epidemiology%22">Epidemiology</searchLink><br />*<searchLink fieldCode="DE" term="%22Polychlorinated+biphenyls%22">Polychlorinated biphenyls</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis+of+diabetes%22">Diagnosis of diabetes</searchLink><br /><searchLink fieldCode="DE" term="%22Diabetes+risk+factors%22">Diabetes risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+factors+of+environmental+exposure%22">Risk factors of environmental exposure</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+testing%22">Blood testing</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Diabetes%22">Diabetes</searchLink><br /><searchLink fieldCode="DE" term="%22Lipids%22">Lipids</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+prevalence%22">Disease prevalence</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22History%22">History</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Alabama%22">Alabama</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Polychlorinated biphenyls (PCBs) manufactured in Anniston, Alabama, from 1929 to 1971 caused significant environmental contamination. The Anniston population remains one of the most highly exposed in the world. Objectives: Reports of increased diabetes in PCB-exposed populations led us to examine possible associations in Anniston residents. Methods: Volunteers (n = 774) from a cross-sectional study of randomly selected households and adults who completed the Anniston Community Health Survey also underwent measurements of height, weight, fasting glucose, lipid, and PCB congener levels and verification of medications. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the relationships between PCBs and diabetes, adjusting for diabetes risk factors. Participants with prediabetes were excluded from the logistic regression analyses. Results: Participants were 47% African American, 70% female, with a mean age of 54.8 years. The prevalence of diabetes was 27% in the study population, corresponding to an estimated prevalence of 16% for Anniston overall; the PCB body burden of 35 major congeners ranged from 0.11 to 170.42 ppb, wet weight. The adjusted OR comparing the prevalence of diabetes in the fifth versus first quintile of serum PCB was 2.78 (95% CI: 1.00, 7.73), with similar associations estimated for second through fourth quintiles. In participants < 55 years of age, the adjusted OR for diabetes for the highest versus lowest quintile was 4.78 (95% CI: 1.11, 20.6), whereas in those ≥ 55 years of age, we observed no significant associations with PCBs. Elevated diabetes prevalence was observed with a 1 SD increase in log PCB levels in women (OR = 1.52; 95% CI: 1.01, 2.28); a decreased prevalence was observed in men (OR = 0.68; 95% CI: 0.33, 1.41). Conclusions: We observed significant associations between elevated PCB levels and diabetes mostly due to associations in women and in individuals < 55 years of age. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1289/ehp.1104247 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 727 Subjects: – SubjectFull: Pollutants Type: general – SubjectFull: Epidemiology Type: general – SubjectFull: Polychlorinated biphenyls Type: general – SubjectFull: Diagnosis of diabetes Type: general – SubjectFull: Diabetes risk factors Type: general – SubjectFull: Risk factors of environmental exposure Type: general – SubjectFull: Analysis of variance Type: general – SubjectFull: Blood testing Type: general – SubjectFull: Chi-squared test Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Statistical correlation Type: general – SubjectFull: Diabetes Type: general – SubjectFull: Lipids Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Research funding Type: general – SubjectFull: Statistical sampling Type: general – SubjectFull: Statistics Type: general – SubjectFull: Surveys Type: general – SubjectFull: T-test (Statistics) Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Disease prevalence Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: History Type: general – SubjectFull: Alabama Type: general Titles: – TitleFull: Polychlorinated Biphenyl (PCB) Exposure and Diabetes: Results from the Anniston Community Health Survey. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Silverstone, Allen E. – PersonEntity: Name: NameFull: Rosenbaum, Paula F. – PersonEntity: Name: NameFull: Weinstock, Ruth S. – PersonEntity: Name: NameFull: Bartell, Scott M. – PersonEntity: Name: NameFull: Foushee, Herman R. – PersonEntity: Name: NameFull: Shelton, Christie – PersonEntity: Name: NameFull: Pavuk, Marian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 00916765 Numbering: – Type: volume Value: 120 – Type: issue Value: 5 Titles: – TitleFull: Environmental Health Perspectives Type: main |
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