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Utility and Cutoff Value of Hair Nicotine as a Biomarker of Long-Term Tobacco Smoke Exposure, Compared to Salivary Cotinine

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  • Sungroul Kim

    (Department of Environmental Health Sciences, SoonChunHyang University, Asan 336-745, South Korea)

  • Benjamin J. Apelberg

    (Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Erika Avila-Tang

    (Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Lisa Hepp

    (Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Dongmin Yun

    (Department of Environmental Health Sciences, SoonChunHyang University, Asan 336-745, South Korea)

  • Jonathan M. Samet

    (Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA)

  • Patrick N. Breysse

    (Department of Environmental Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

Abstract

While hair samples are easier to collect and less expensive to store and transport than biological fluids, and hair nicotine characterizes tobacco exposure over a longer time period than blood or urine cotinine, information on its utility, compared with salivary cotinine, is still limited. We conducted a cross-sectional study with 289 participants (107 active smokers, 105 passive smokers with self-reported secondhand smoke (SHS) exposure, and 77 non-smokers with no SHS exposure) in Baltimore (Maryland, USA). A subset of the study participants (n = 52) were followed longitudinally over a two-month interval. Median baseline hair nicotine concentrations for active, passive and non-smokers were 16.2, 0.36, and 0.23 ng/mg, respectively, while those for salivary cotinine were 181.0, 0.27, and 0.27 ng/mL, respectively. Hair nicotine concentrations for 10% of passive or non-smokers were higher than the 25th percentile value for active smokers while all corresponding salivary cotinine concentrations for them were lower than the value for active smokers. This study showed that hair nicotine concentration values could be used to distinguish active or heavy passive adult smokers from non-SHS exposed non-smokers. Our results indicate that hair nicotine is a useful biomarker for the assessment of long-term exposure to tobacco smoke.

Suggested Citation

  • Sungroul Kim & Benjamin J. Apelberg & Erika Avila-Tang & Lisa Hepp & Dongmin Yun & Jonathan M. Samet & Patrick N. Breysse, 2014. "Utility and Cutoff Value of Hair Nicotine as a Biomarker of Long-Term Tobacco Smoke Exposure, Compared to Salivary Cotinine," IJERPH, MDPI, vol. 11(8), pages 1-15, August.
  • Handle: RePEc:gam:jijerp:v:11:y:2014:i:8:p:8368-8382:d:39247
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    1. Jarvis, M.J. & Tunstall-Pedoe, H. & Feyerabend, C. & Vesey, C. & Saloojee, Y., 1987. "Comparison of tests used to distinguish smokers from nonsmokers," American Journal of Public Health, American Public Health Association, vol. 77(11), pages 1435-1438.
    2. Jacob III, P. & Yu, L. & Shulgin, A.T. & Benowitz, N.L., 1999. "Minor tobacco alkaloids as biomarkers for tobacco use: Comparison of users of cigarettes, smokeless tobacco, cigars, and pipes," American Journal of Public Health, American Public Health Association, vol. 89(5), pages 731-736.
    3. James L. Repace & Jennifer Jinot & Steven Bayard & Karen Emmons & S. Katharine Hammond, 1998. "Air Nicotine and Saliva Cotinine as Indicators of Workplace Passive Smoking Exposure and Risk," Risk Analysis, John Wiley & Sons, vol. 18(1), pages 71-83, February.
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    2. Sònia Torres & Carla Merino & Beatrix Paton & Xavier Correig & Noelia Ramírez, 2018. "Biomarkers of Exposure to Secondhand and Thirdhand Tobacco Smoke: Recent Advances and Future Perspectives," IJERPH, MDPI, vol. 15(12), pages 1-25, November.

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