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Environmental Geochemistry and Health

, Volume 40, Issue 6, pp 2359–2369 | Cite as

Association between skin lesion and arsenic concentration in hair by mixed bivariate model in chronic arsenic exposure

  • Arabinda Das
  • Anirban Biswas
  • Debendra Nath Guha Mazumder
Original Paper
  • 54 Downloads

Abstract

Skin lesion is one of the important health hazards caused by high intake of arsenic through drinking water and diet, and the other hazards include several types of cancers (viz. skin, lung and urinary bladder), ischemic heart disease, hypertension, etc. Two most important biomarkers to measure arsenic intake in a human body are arsenic concentration in urine and hair. The primary interest of this paper is the association between skin lesion and arsenic concentration in hair for participants with chronic arsenic exposure from West Bengal, India, using bivariate regression model based on copula function. The result showed participants with high arsenic concentration in hair had higher incidence of developing skin lesion. Arsenic concentration in hair was significantly higher for the participants with an arsenic concentration in water > 10 mg/L.

Keywords

Arsenic exposure Bivariate mixed model Copula function 

Notes

Acknowledgements

The study was supported by a research grant funded by the World Bank under the National Agricultural Innovative Project “Arsenic in Food Chain: Cause, Effect and Mitigation” from the Indian Council of Agricultural Research (ICAR), Govt. of India (Ref. No. NAIP/C4/C1005, dated 12.6.2007). The authors express their thanks to Dr. K Bhattacharya, Mr. R. N. Guha Mazumder, Anath Pramanick, Gopal Modak and Goutam Dutta for their help in the execution of this study. Special thanks are also due to all the patients and villagers for their participation and cooperation in this study. The contents of this article are the sole responsibility of the authors and do not necessarily represent the official views of the funding agencies. This scientific work is the responsibility of the researchers.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest, as this research was undertaken solely for scientific purposes.

Supplementary material

10653_2018_102_MOESM1_ESM.docx (129 kb)
Supplementary material 1 (DOCX 129 kb)

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of StatisticsAcharya Prafulla Chandra CollegeKolkataIndia
  2. 2.School of Environmental StudiesJadavpur UniversityKolkataIndia
  3. 3.D.N.G.M. Research FoundationKolkataIndia

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