Ecological Integrity of Streams Related to Human Cancer Mortality Rates

Abstract

Assessments of ecological integrity have become commonplace for biological conservation, but their role for public health analysis remains largely unexplored. We tested the prediction that the ecological integrity of streams would provide an indicator of human cancer mortality rates in West Virginia, USA. We characterized ecological integrity using an index of benthic macroinvertebrate community structure (West Virginia Stream Condition Index, SCI) and quantified human cancer mortality rates using county-level data from the Centers for Disease Control and Prevention. Regression and spatial analyses revealed significant associations between ecological integrity and public health. SCI was negatively related to age-adjusted total cancer mortality per 100,000 people. Respiratory, digestive, urinary, and breast cancer rates increased with ecological disintegrity, but genital and oral cancer rates did not. Smoking, poverty, and urbanization were significantly related to total cancer mortality, but did not explain the observed relationships between ecological integrity and cancer. Coal mining was significantly associated with ecological disintegrity and higher cancer mortality. Spatial analyses also revealed cancer clusters that corresponded to areas of high coal mining intensity. Our results demonstrated significant relationships between ecological integrity and human cancer mortality in West Virginia, and suggested important effects of coal mining on ecological communities and public health. Assessments of ecological integrity therefore may contribute not only to monitoring goals for aquatic life, but also may provide valuable insights for human health and safety.

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References

  1. ACS (2010) Cancer Statistics 2009. American Cancer Society. Available: http://www.cancer.org [accessed February 2, 2010]

  2. Anderson RT, Sorlie P, Backlund E, Johnson N, Kaplan GA (1997) Mortality effects of community socioeconomic status. Epidemiology 8:42–47.

    Article  CAS  Google Scholar 

  3. Anselin L (1995) Local indicators of spatial association—LISA. Geographical Analysis 27:93–115.

    Google Scholar 

  4. Barnett E, Halverson JA, Elmes GA, Braham VE (2000) Metropolitan and non-metropolitan trends in coronary heart disease mortality within Appalachia, 1980–1997. Annals of Epidemiology 10:370–379.

    Article  CAS  Google Scholar 

  5. Bray JR, Curtis JT (1957) An ordination of the upland forest communities of Wisconsin. Ecological Monographs 27:325–349.

    Article  Google Scholar 

  6. Bunn SE, Arthington AH (2003) Basic principles and ecological consequences of altered flow regimes for aquatic biodiversity. Environmental Management 30:492–507.

    Article  Google Scholar 

  7. Cakmak S, Dales RE, Judek S (2006) Respiratory health effects of air pollution gases: modification by education and income. Archives of Environmental and Occupational Health 61:5–10.

    Article  CAS  Google Scholar 

  8. CDC (2007) Behavioral Risk Factor Surveillance System. Centers for Disease Control and Prevention. Available: http://www.cdc.gov/brfss/index.htm [accessed July 11, 2007]

  9. CDC (2008) Compressed Mortality File. Centers for Disease Control and Prevention. Available: http://wonder.cdc.gov/mortSQL.html [accessed April 30, 2008]

  10. Di Giulio RT, Benson WH (2002) Rationale and overview. In: Di Giulio RT, Benson WH (eds) Interconnections between Human Health and Ecological Integrity. Society for Environmental Toxicology and Chemistry Press (SETAC), Pensacola FL, pp. 1–12.

    Google Scholar 

  11. Fearon ER (1997) Human cancer syndromes: clues to the origin and nature of cancer. Science 278:1043–1050.

    Article  CAS  Google Scholar 

  12. Ferrechio C, Gonzale C, Milosavjlevic V, Marshall G, Sancha AM, Smith AH (2000) Lung cancer and arsenic concentrations in drinking water in Chile. Epidemiology 11:673-679.

    Article  Google Scholar 

  13. Gerritsen J, Burton J, Barbour MT (2000) A Stream Condition Index for West Virginia Wadeable Streams, Owings Mills, MD: Tetra Tech, pp 80.

    Google Scholar 

  14. Ghose MK (2007) Generation and quantification of hazardous dusts from coal mining in the Indian context. Environmental Monitoring and Assessment 130:35–45.

    Article  CAS  Google Scholar 

  15. Ghose MK, Majee SR (2007) Characteristics of hazardous airborne dust around an Indian surface coal mining area. Environmental Monitoring and Assessment 130:17–25.

    Article  CAS  Google Scholar 

  16. Goslee S, Urban D (2007) The ecodist package for dissimilarity-based analysis of ecological data. Journal of Statistical Software 22:1–19.

    Google Scholar 

  17. Griffith MB, Lazorchak JM, Herlihy AT (2004) Relationships among exceedences of metals criteria, the results of ambient bioassays, and community metrics in mining-impacted streams. Environmental Toxicology and Chemistry 23:1786–1795.

    Article  CAS  Google Scholar 

  18. Halverson JA, Ma L, Harner EJ (2004) An Analysis of Disparities in Health Status and Access to Health Care in the Appalachian Region, Washington, DC: Appalachian Regional Commission.

    Google Scholar 

  19. Hartman KJ, Kaller MD, Howell JW, Sweka JA (2005) How much do valley fills influence headwater streams? Hydrobiologia 532:91–102.

    Article  CAS  Google Scholar 

  20. Hendryx MS (2009) Mortality from heart, respiratory, and kidney disease in coal mining areas of Appalachia. International Archives of Occupational and Environmental Health 82:243–249.

    Article  Google Scholar 

  21. Hendryx MS, Ahern MM (2008) Relations between health indicators and residential proximity to coal mining in West Virginia. American Journal of Public Health 98:669–671.

    Article  Google Scholar 

  22. Hendryx MS, Ahern MM, Nurkiewicz TR (2007) Hospitalization patterns associated with Appalachian coal mining. Journal of Toxicology and Environmental Health, Part A 70:2064–2070.

    Article  CAS  Google Scholar 

  23. Hendryx MS, O’Donnell K, Horn K (2008) Lung cancer mortality is elevated in coal mining areas of Appalachia. Lung Cancer 62:1–7.

    Article  Google Scholar 

  24. Hilsenhoff WL (1988) Rapid field assessment of organic pollution with a family-level biotic index. Journal of the North American Benthological Society 7:65–88.

    Article  Google Scholar 

  25. Hitt NP, Frissell CA, Muhlfeld CC, Allendorf FW (2003) Spread of hybridization between native westslope cutthroat trout, Oncorhynchus clarki lewisi, and nonnative rainbow trout, Oncorhynchus mykiss. Canadian Journal of Fisheries and Aquatic Sciences 60:1440–1451.

    Article  Google Scholar 

  26. Huang B, Wyatt SW, Tucker TC, Bottorff D, Lengerich E, Hall HI (2002) Cancer death rates—Appalachia, 1994–1998. Morbidity and Mortality Weekly Report 51:527–529.

    Google Scholar 

  27. Huff J, Lunn RM, Waalkes MP, Tomatis L, Infante PF (2007) Cadmium-induced cancers in animals and in humans. International Journal of Occupational and Environmental Health 13:202–212.

    CAS  Google Scholar 

  28. Huffman R (2009) Testimony before the U.S. Senate Committee on Environment and Public Works, Subcommittee on Water and Wildlife, June 25, 2009

  29. Huynen MMTE, Martens P, De Groot RS (2004) Linkages between biodiversity loss and human health: a global indicator analysis. International Journal of Environmental Health Research 14:13–30.

    Article  CAS  Google Scholar 

  30. Jarup L (2003) Hazards of heavy metal contamination. British Medical Bulletin 68:167–182.

    Article  Google Scholar 

  31. Karr JR, Chu EW (2000) Sustaining living rivers. Hydrobiologia 422/423:1–14.

    Article  Google Scholar 

  32. Karr JR, Dudley DR (1981) Ecological perspective on water quality goals. Environmental Management 5:55–68.

    Article  Google Scholar 

  33. Landrigan PJ (1982) Occupational and community exposures to toxic metals: lead, cadmium, mercury and arsenic. Western Journal of Medicine 137:531–539.

    CAS  Google Scholar 

  34. Legendre P (2000) Comparison of permutation methods for partial correlation and partial Mantel tests. Journal of Statistical Computing and Simulation 67:37–73.

    Article  Google Scholar 

  35. Lengerich E, Tucker T, Powell R, Colsher P, Lehman E, Ward A (2005) Cancer incidence in Kentucky, Pennsylvania and West Virginia: disparities in Appalachia. Journal of Rural Health 21:39–47.

    Article  Google Scholar 

  36. Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, et al. (2000) Environmental and heritable factors in the causation of cancer. The New England Journal of Medicine 343:78–85.

    Article  CAS  Google Scholar 

  37. McAuley SD, Kozar MD (2006) Ground Water Quality in Unmined Areas and Near Reclaimed Surface Coal Mines in the Northern and Central Appalachian Coal Regions, Pennsylvania and West Virginia. Scientific Investigations Report 2006-5059, Washington DC: United States Geological Survey, pp 67.

    Google Scholar 

  38. Mantel N (1967) The detection of disease clustering and a generalized regression approach. Cancer Research 27:209–220.

    CAS  Google Scholar 

  39. Merritt RW, Cummins KW (1996) An Introduction to the Aquatic Insects of North America, 3rd ed., Dubuque, IA: Kendall Hunt.

    Google Scholar 

  40. Moran P (1950) Notes on continuous stochastic phenomena. Biometrika 37:17–23.

    CAS  Google Scholar 

  41. Morgenstern H (2008) Ecologic studies. In: Modern Epidemiology, 3rd ed., Rothman KJ, Greenland S, Lash TL (editors), Philadelphia: Lippincott Williams & Wilkins, pp 511–531.

    Google Scholar 

  42. Negley TL, Eshleman KN (2006) Comparison of stormflow responses of surface-mined and forested watersheds in the Appalachian Mountains, USA. Hydrological Processes 20:3467–3483.

    Article  Google Scholar 

  43. Oden N (2005) Spatial autocorrelation invalidates the Dow-Cheverud test. Journal of Physical Anthropology 89:257–264.

    Article  Google Scholar 

  44. Palmer MA, Bernhardt ES, Schlesinger WH, Eshleman KN, Foufoula-Georgiou E, Hendryx MS, et al. (2010) Mountaintop mining consequences. Science 327:148–149.

    Article  CAS  Google Scholar 

  45. Paulsen SG, Mayio A, Peck DV, Stoddard JL, Tarquinio E, Holdsworth SM, et al. (2008) Condition of stream ecosystems in the US: an overview of the first national assessment. Journal of the North American Benthological Society 27:812–821.

    Article  Google Scholar 

  46. Perera FP (1997) Environment and cancer: who are susceptible? Science 278:1068–1073.

    Article  CAS  Google Scholar 

  47. Phillips JD (2004) Impacts of surface mine valley fills on headwater floods in eastern Kentucky. Environmental Geology 35:367–380.

    Article  Google Scholar 

  48. Pond GJ (in press) Patterns of Ephemeroptera taxa loss in Appalachian headwater streams (Kentucky, USA). Hydrobiologia

  49. Pond GJ, Passmore ME, Borsuk FA, Reynolds L, Rose CJ (2008) Downstream effects of mountaintop coal mining: comparing biological conditions using family- and genus-level macroinvertebrate bioassessment tools. Journal of the North American Benthological Society 27:717–737.

    Article  Google Scholar 

  50. Rapport DJ (1999) Epidemiology and ecosystem health: natural bridges. Ecosystem Health 5:174–180.

    Article  Google Scholar 

  51. Sala OE, Meyerson LA, Parmesan C (editors) (2009) Biodiversity Change and Human Health: From Ecosystem Services to Spread of Disease. Scientific Committee on Problems of the Environment, Vol 69. Washington, DC: Island Press

  52. Seber GAF, Lee AJ (2003) Linear Regression Analysis, 2nd ed., Hoboken, NJ: Wiley.

    Google Scholar 

  53. Sieswerda LE, Soskolne CL, Newman SC, Schopflocher D, Smoyer KE (2001) Towards measuring the impact of ecological disintegrity on human health. Epidemiology 12:28–32.

    Article  CAS  Google Scholar 

  54. Tabor GM (2002) Defining conservation medicine. In: Conservation Medicine: Ecological Health in Practice, Aguirre AA, Ostfeld RS, Tabor GM, House C, Pearl MC (editors), New York: Oxford University Press, pp 8–16

  55. Torres AM, Monteiro CA (2002) Towards an ecology minded public health? Journal of Epidemiology and Community Health 56:82.

    Article  Google Scholar 

  56. US Census (2000) Census Block Group Cartographic Boundary Files. Available: http://www.census.gov/geo/www/cob [accessed: November 3, 2008]

  57. USDHHS (2006) Area Resource File, Washington, DC: U.S. Department of Health and Human Services, Health Resources and Services Administration, Bureau of Health Professions

  58. USEPA (2002) Summary of Biological Assessment Programs and Biocriteria Development for States, Tribes, Territories, and Interstate Commissions: Streams and Wadeable Rivers, Washington, DC: U.S. Environmental Protection Agency, Office of Environmental Information and Office of Water, EPA-822-R-02-048

  59. Vahter M, Berglund M, Akesso A, Liden C (2002) Metals and women’s health. Environmental Research Section A 88:145–155.

    Article  CAS  Google Scholar 

  60. Waite IR, Herlihy AT, Larsen DP, Urquhart NS, Klemm DJ (2004) The effects of macroinvertebrate taxonomic resolution in large landscape bioassessments: an example from the Mid-Atlantic Highlands, U.S.A. Freshwater Biology 49:474–489.

    Article  Google Scholar 

  61. Waitzman NJ, Smith KR (1998) Phantom of the area: poverty-area residence and mortality in the United States. American Journal of Public Health 88:973–976.

    Article  CAS  Google Scholar 

  62. WHO (2009) World Health Statistics, Geneva: World Health Organization, pp 149

  63. Wilcox BA, Aguirre AA, Dasak P, Horowitz P, Martens P, Parkes M, et al. (2004) Ecoheath: a transdisciplinary imperative for a sustainable future. EcoHealth 1:3–5.

    Article  Google Scholar 

  64. WVGES (2007) Trace Elements in West Virginia Coals. West Virginia Geologic and Economic Survey. Available: http://www.wvgs.wvnet.edu/www/datastat/te/index.htm [accessed October 6, 2007]

  65. WVGES (2009) Summary Data and Statistics. West Virginia Geologic and Economic Survey. Available: http://www.wvgs.wvnet.edu/www/datastat/dataclco.htm [accessed January 5, 2009]

  66. Yoder CO, Rankin ET (1998) The role of biological indicators in a state water quality management process. Environmental Monitoring and Assessment 51:61–88.

    Article  CAS  Google Scholar 

  67. Yuan LL, Norton SB (2003) Comparing responses of macroinvertebrate metrics to increasing stress. Journal of the North American Benthological Society 22:308–322.

    Article  Google Scholar 

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Acknowledgments

We thank B. Stout, P.L. Angermeier, R.B. Hull, F. Brady, J. Young, E. Fedorko, S.W. Bebe, and three anonymous reviewers for their assistance with this research. We thank the Department of Fisheries and Wildlife Sciences at Virginia Tech for providing N.P. Hitt post-doctoral support, and the West Virginia Department of Environmental Protection for providing raw data for this analysis.

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Correspondence to Nathaniel P. Hitt.

Appendices

Appendices

Appendix A West Virginia stream condition index (SCI) summary statistics by countya
Appendix B Numerical breakpoints mapped in Figs. 2 and 3 a

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Hitt, N.P., Hendryx, M. Ecological Integrity of Streams Related to Human Cancer Mortality Rates. EcoHealth 7, 91–104 (2010). https://doi.org/10.1007/s10393-010-0297-y

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Keywords

  • Ecological integrity
  • cancer
  • coal mining
  • streams
  • benthic macroinvertebrates