Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Analysis of NHANES measured blood PCBs in the general US population and application of SHEDS model to identify key exposure factors

Abstract

Studies have shown that the US population continues to be exposed to polychlorinated biphenyls (PCBs), despite their ban more than three decades ago, but the reasons are not fully understood. The objectives of this paper are to characterize patterns of PCBs in blood by age, gender, and ethnicity, and identify major exposure factors. EPA’s Stochastic Human Exposure and Dose Simulation (SHEDS)-dietary exposure model was applied, combining fish tissue PCB levels from a NYC Asian Market survey with National Health and Nutrition Examination Survey (NHANES) dietary consumption data, and then linked with blood biomarkers for the same NHANES study subjects. Results reveal that the mean concentration of total PCBs in blood was higher with increasing age; however, for the same age, gender, and ethnicity, the blood PCB concentrations measured in the later NHANES survey were significantly lower than those in the earlier one. The decrease within an age group between the two survey periods lessened with increasing age. Blood PCBs among different ethnicities ranked differently between the older and the younger age groups within each survey. Non-Hispanic Blacks had significantly higher blood PCBs for the >30 year age group. For the 12 to ≤30 year age group, the “Asian, Pacific Islander, Native American or multiracial” group had the highest values, with patterns fairly consistent with fish consumption and modeled PCB exposure patterns. We conclude that for younger people, patterns correspond to reduced environmental contamination over time, and are strongly associated with fish consumption and dietary exposures. Higher PCB concentrations in blood of the older population may partially reflect past exposures to higher environmental PCB concentrations, particularly before the ban.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5

Similar content being viewed by others

Abbreviations

A/P/N/M:

Asian/Pacific Islander/Native American/Other Multiracial

EPA:

U.S. Environmental Protection Agency

FCID:

EPA’s Food Consumption Intake Database

GLM:

general linear model

GM:

geometric mean

NHANES:

National Health and Nutrition Examination Survey

ORD:

Office of Research and Development

PCBs:

polychlorinated biphenyls

RAC:

raw agricultural commodity

SHEDS:

Stochastic Human Exposure and Dose Simulation (model)

References

  1. Risebrough RW, Rieche P, Peakall DB, Herman SG, Kirven MN . Polychlorinated biphenyls in the global ecosystem. Nature 1968; 220: 1098–1102.

    Article  CAS  Google Scholar 

  2. Picer M, Picer N . Levels and long-term trends of polychlorinated biphenyls and DDTs in mussels collected from the middle adriatic coastal waters. Chemosphere 1994; 29: 465–475.

    Article  CAS  Google Scholar 

  3. Roose P, Cooreman K, Vyncke W . PCBs in cod (Gadus morhua), flounder (Platichthys flesus), blue mussel (Mytilus edulis) and brown shrimp (Crangon crangon) from the Belgian continental shelf: relation to biological parameters and trend analysis. Chemosphere 1998; 37: 2199–2210.

    Article  CAS  Google Scholar 

  4. Pichirallo J . PCB’s: leaks of toxic substances raises issue of effects, regulation. Science 1971; 173: 899–902.

    Article  CAS  Google Scholar 

  5. Tanabe S, Kannan N, Subramanian A, Watanabe S, Tatsukawa R . Highly toxic coplanar PCBs: occurrence, source, persistency and toxic implications to wildlife and humans. Environ Pollut 1987; 47: 147–163.

    Article  CAS  Google Scholar 

  6. Kimbrough RD . Polychlorinated biphenyls (PCBs) and human health: an update. Cri Rev Toxicol 1995; 25: 133–163.

    Article  CAS  Google Scholar 

  7. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans. Overall Evaluations of Carcinogenicity. An Updating of IARC Monographs vol. 1–42. Supplement 7 1998.

  8. U.S.EPA Integrated risk information system: polychlorinated biphenyls (PCBs) (CASRN 1336-36-3) 1997.

  9. Needham LL, Barr DB, Caudill SP, Pirkle JL, Turner WE, Osterloh J et al. Concentrations of environmental chemicals associated with neurodevelopmental effects in U.S. population. Neurotoxicology 2005; 26: 531–545.

    Article  CAS  Google Scholar 

  10. Schantz SL, Widholm JJ, Rice DC . Effects of PCB exposure on neuropsychological function in children. Environ Health Perspect 2003; 111: 357–576.

    Article  CAS  Google Scholar 

  11. Stewart PW, Lonky E, Reihman J, Pagano J, Gump BB, Darvill T . The relationship between prenatal PCB exposure and intelligence (IQ) in 9-year-old children. Environ Health Perspect 2008; 116: 1416–1422.

    Article  CAS  Google Scholar 

  12. Lee DH, Lee IK, Porta M, Steffes M, Jacobs DR, Jr. . Relationship between serum concentrations of persistent organic pollutants and the prevalence of metabolic syndrome among non-diabetic adults: results from the National Health and Nutrition Examination Survey 1999-2002. Diabetologia 2007; 50: 1841–1851.

    Article  CAS  Google Scholar 

  13. Lee DH, Lee IK, Jin SH, Steffes M, Jacobs DR, Jr. . Association between serum concentrations of persistent organic pollutants and insulin resistance among nondiabetic adults: results from the National Health and Nutrition Examination Survey 1999-2002. Diabetes care 2007; 30: 622–628.

    Article  CAS  Google Scholar 

  14. Yard EE, Terrell ML, Hunt DR, Cameron LL, Small CM, McGeehin MA et al. Incidence of thyroid disease following exposure to polybrominated biphenyls and polychlorinated biphenyls, Michigan, 1974-2006. Chemosphere 2011; 84: 863–868.

    Article  CAS  Google Scholar 

  15. Broadhurst MG . Use and replaceability of polychlorinated biphenyls. Environ Health Perspect 1972; 2: 81–102.

    Article  CAS  Google Scholar 

  16. Nisbet IC, Sarofim AF . Rates and routes of transport of PCBs in the environment. Environ Health Perspect 1972; 1: 21–38.

    Article  CAS  Google Scholar 

  17. Risebrough RW, De Lappe B . Accumulation of polychlorinated biphenyls in ecosystems. Environ Health Perspect 1972; 1: 39–45.

    Article  CAS  Google Scholar 

  18. Price HA, Welch RL . Occurrence of polychlorinated biphenyls in humans. Environ Health Perspect 1972; 1: 73–78.

    Article  CAS  Google Scholar 

  19. Yobs AR . Levels of polychlorinated biphenyls in adipose tissue of the general population of the nation. Environ Health Perspect 1972; 1: 79–81.

    Article  CAS  Google Scholar 

  20. Hickey JP, Batterman SA, Chernyak SM . Trends of chlorinated organic contaminants in great lakes trout and walleye from 1970 to 1998. Arch Environ Contam Toxicol 2006; 50: 97–110.

    Article  CAS  Google Scholar 

  21. Sun P, Basu I, Blanchard P, Brice KA, Hites RA . Temporal and spatial trends of atmospheric polychlorinated biphenyl concentrations near the Great Lakes. Environ Sci Technol 2007; 41: 1131–1136.

    Article  CAS  Google Scholar 

  22. Fensterheim RJ . Documenting temporal trends of polychlorinated biphenyls in the environment. Regul Toxicol Pharmacol 1993; 18: 181–201.

    Article  CAS  Google Scholar 

  23. Hom W, Risebrough RW, Soutar A, Young DR . Deposition of DDE and polychlorinated biphenyls in dated sediments of the Santa Barbara Basin. Science 1972; 184: 1197–1199.

    Article  Google Scholar 

  24. Kuzyk ZZ, Macdonald RW, Johannessen SC, Stern GA . Biogeochemical controls on PCB deposition in Hudson Bay. Environ Sci Technol 2010; 44: 3280–3285.

    Article  CAS  Google Scholar 

  25. Isosaari P, Kankaanpaa H, Mattila J, Kiviranta H, Verta M, Salo S et al. Spatial distibution and temporal accumulation of polychlorinated dibenzo-p-dioxins, dibenzofurans, and biphenyls in the Gulf of Finland. Environ Sci Technol 2002; 36: 2560–2565.

    Article  CAS  Google Scholar 

  26. Binelli A, Ricciardi F, Provini A . Present status of POP contamination in Lake Maggiore (Italy). Chemosphere 2004; 57: 27–34.

    Article  CAS  Google Scholar 

  27. Howel D . Multivariate data analysis of pollutant profiles: PCB levels across Europe. Chemosphere 2007; 67: 1300–1307.

    Article  CAS  Google Scholar 

  28. Schuster JK, Gioia R, Sweetman AJ, Jones KC . Temporal trends and controlling factors for polychlorinated biphenyls in the UK atmosphere (1991-2008). Environ Sci Technol 2010; 44: 8068–8074.

    Article  CAS  Google Scholar 

  29. Kreiss K . Studies on populations exposed to polychlorinated biphenyls. Environ Health Perspect 1985; 60: 193–199.

    Article  CAS  Google Scholar 

  30. He JP, Stein AD, Humphrey HE, Paneth N, Courval JM . Time trends in sport-caught Great Lakes fish consumption and serum polychlorinated biphenyl levels among Michigan Anglers, 1973-1993. Environ Sci Technol 2001; 35: 435–440.

    Article  CAS  Google Scholar 

  31. Robinson PE, Mack GA, Remmers J, Levy R, Mohadjer L . Trends of PCB, hexachlorobenzene, and beta-benzene hexachloride levels in the adipose tissue of the U.S. population. Environ Res 1990; 53: 175–192.

    Article  CAS  Google Scholar 

  32. Centers for Disease Control and Prevention. Third National report on Human Exposure to Environmental Chemicals. CDC: Atlanta, GA. 2005.

  33. Cave M, Appana S, Patel M, Falkner KC, McClain CJ, Brock G . Polychlorinated biphenyls, lead, and mercury are associated with liver disease in American adults: NHANES 2003-2004. Environ Health Perspect 2010; 118: 1735–1742.

    Article  CAS  Google Scholar 

  34. Axelrad DA, Goodman S, Woodruff TJ . PCB body burdens in US women of childbearing age 2001-2002: an evaluation of alternate summary metrics of NHANES data. Environ Res 2009; 109: 368–378.

    Article  CAS  Google Scholar 

  35. Nichols BR, Hentz KL, Aylward L, Hays SM, Lamb JC . Age-specific reference ranges for polychlorinated biphenyls (PCB) based on the NHANES 2001-2002 survey. J Toxicol Environ Health A 2007; 70: 1873–1877.

    Article  CAS  Google Scholar 

  36. Jain RB, Wang RY . Regression models to estimate total polychlorinated biphenyls in the general US population: 2001-2002 and 2003-2004. Chemosphere 2010; 79: 243–252.

    Article  CAS  Google Scholar 

  37. WHO Polychlorinated Biphenyls: Human Health Aspects http://www.who.int/ipcs/publications/cicad/en/cicad55.pdfGeneva. 2003.

  38. Zartarian VG, Xue J, Ozkaynak H, Dang W, Glen G, Smith L et al. A probabilistic arsenic exposure assessment for children who contact CCA-treated playsets and decks, Part 1: model methodology, variability results, and model evaluation. Risk Anal 2006; 26: 515–531.

    Article  Google Scholar 

  39. Xue J, Zartarian VG, Ozkaynak H, Dang W, Glen G, Smith L et al. A probabilistic arsenic exposure assessment for children who contact chromated copper arsenate (CCA)-treated playsets and decks, Part 2: sensitivity and uncertainty analyses. Risk Anal 2006; 26: 533–541.

    Article  Google Scholar 

  40. Zartarian V, Xue J, Glen G, Smith L, Tulve N, Tornero-Velez R . Quantifying children's aggregate (dietary and residential) exposure and dose to permethrin: application and evaluation of EPA's probabilistic SHEDS-Multimedia model. J Expo Sci Environ Epidemiol 2012; 22: 267–273.

    Article  CAS  Google Scholar 

  41. Weintraub M, Birnbaum LS . Catfish consumption as a contributor to elevated PCB levels in a non-Hispanic black subpopulation. Environ Res 2008; 107: 412–417.

    Article  CAS  Google Scholar 

  42. Tee PG, Sweeney AM, Symanski E, Gardiner JC, Gasior DM, Schantz SL . A longitudinal examination of factors related to changes in serum polychlorinated biphenyl levels. Environ Health Perspect 2003; 111: 702–707.

    Article  CAS  Google Scholar 

  43. Xue J, Zartarian V, Wang SW, Liu SV, Georgopoulos P . Probabilistic modeling of dietary arsenic exposure and dose and evaluation with 2003-2004 NHANES data. Environ Health Perspect 2010; 118: 345–350.

    Article  CAS  Google Scholar 

  44. Xue J, Zartarian VG, Liu SV, Geller AM . Methyl mercury exposure from fish consumption in vulnerable racial/ethnic populations: probabilistic SHEDS-Dietary model analyses using 1999-2006 NHANES and 1990-2002 TDS data. Sci Total Environ 2012; 414: 373–379.

    Article  CAS  Google Scholar 

  45. McKelvey W, Chang M, Arnason J, Jeffery N, Kricheff J, Kass D . Mercury and polychlorinated biphenyls in Asian market fish: a response to results from mercury biomonitoring in New York city. Environ Res 2010; 110: 650–657.

    Article  CAS  Google Scholar 

  46. Goncharov A, Haase RF, Santiago-Rivera A, Morse G, McCaffrey RJ, Rej R et al. High serum PCBs are associated with elevation of serum lipids and cardiovascular disease in a Native American population. Environ Res 2008; 106: 226–239.

    Article  CAS  Google Scholar 

  47. Liu SV . A theoretical framework for understanding biotic aging from molecule to organism in multicellular life. Logical Biology 2005; 5: 109–116.

    CAS  Google Scholar 

  48. El-Shaarawi AH, Backus S, Zhu R, Chen Y . Modelling temporal and spatial changes of PCBs in fish tissue from Lake Huron. Environ Monit Assess 2011; 173: 611–623.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank Kristin Isaacs, Daniel Vallero, and Tom McCurdy in EPA’s Office of Research and Development for providing technical review of the paper.

Disclaimer

The United States Environmental Protection Agency (EPA) through its Office of Research and Development conducted the research described in this paper. This manuscript has been reviewed by EPA and approved for publication.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shi V Liu.

Ethics declarations

Competing interests

All authors declare no conflict of interests.

Additional information

Supplementary Information accompanies the paper on the Journal of Exposure Science and Environmental Epidemiology website

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xue, J., Liu, S., Zartarian, V. et al. Analysis of NHANES measured blood PCBs in the general US population and application of SHEDS model to identify key exposure factors. J Expo Sci Environ Epidemiol 24, 615–621 (2014). https://doi.org/10.1038/jes.2013.91

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/jes.2013.91

Keywords

This article is cited by

Search

Quick links