Bekir Kaplan1, Thomas Sussan2, Ana Rule3, Katherine Moon3, Maria Grau-Perez4, Pablo Olmedo5, Rui Chen3, Asli Carkoglu6, Vladimir Levshin7, Lanqing Wang8, Clifford Watson8, Benjamin Blount8, Antonia M Calafat8, Jeffery Jarrett8, Kathleen Caldwell8, Yuesong Wang8, Pattrick Breysse8, Paul Strickland3, Joanna Cohen9, Shyam Biswal3, Ana Navas-Acien10. 1. Institute for Global Tobacco Control, Johns Hopkins Bloomberg School of Public Health, United States of America. Electronic address: bkaplan9@jhu.edu. 2. U.S. Army Public Health Center, Toxicology Directorate, United States of America. 3. Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America. 4. Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, United States of America. 5. Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, United States of America; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, United States of America; Department of Legal Medicine and Toxicology, School of Medicine, University of Granada, Granada, Spain. 6. Department of Psychology, Kadir Has University, Istanbul, Turkey. 7. Russian Cancer Research Center, Moscow, Russian Federation. 8. National Center for Environmental Health, Centers for Disease Control and Prevention, United States of America. 9. Institute for Global Tobacco Control, Johns Hopkins Bloomberg School of Public Health, United States of America. 10. Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, United States of America.
Abstract
INTRODUCTION: Few studies have comprehensively characterized toxic chemicals related to waterpipe use and secondhand waterpipe exposure. This cross-sectional study investigated biomarkers of toxicants associated with waterpipe use and passive waterpipe exposure among employees at waterpipe venues. METHOD: We collected urine specimens from employees in waterpipe venues from Istanbul, Turkey and Moscow, Russia, and identified waterpipe and cigarette smoking status based on self-report. The final sample included 110 employees. Biomarkers of exposure to sixty chemicals (metals, volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), nicotine, and heterocyclic aromatic amines (HCAAs)) were quantified in the participants' urine. RESULTS: Participants who reported using waterpipe had higher urinary manganese (geometric mean ratio (GMR): 2.42, 95% confidence interval (CI): 1.16, 5.07) than never/former waterpipe or cigarette smokers. Being exposed to more hours of secondhand smoke from waterpipes was associated with higher concentrations of cobalt (GMR: 1.38, 95% CI: 1.10, 1.75). Participants involved in lighting waterpipes had higher urinary cobalt (GMR: 1.43, 95% CI: 1.10, 1.86), cesium (GMR: 1.21, 95% CI: 1.00, 1.48), molybdenum (GMR: 1.45, 95% CI: 1.08, 1.93), 1-hydroxypyrene (GMR: 1.36, 95% CI: 1.03, 1.80), and several VOC metabolites. CONCLUSION: Waterpipe tobacco users and nonsmoking employees of waterpipe venues had higher urinary concentrations of several toxic metals including manganese and cobalt as well as of VOCs, in a distinct signature compared to cigarette smoke. Employees involved in lighting waterpipes may have higher exposure to multiple toxic chemicals compared to other employees.
INTRODUCTION: Few studies have comprehensively characterized toxic chemicals related to waterpipe use and secondhand waterpipe exposure. This cross-sectional study investigated biomarkers of toxicants associated with waterpipe use and passive waterpipe exposure among employees at waterpipe venues. METHOD: We collected urine specimens from employees in waterpipe venues from Istanbul, Turkey and Moscow, Russia, and identified waterpipe and cigarette smoking status based on self-report. The final sample included 110 employees. Biomarkers of exposure to sixty chemicals (metals, volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), nicotine, and heterocyclic aromatic amines (HCAAs)) were quantified in the participants' urine. RESULTS:Participants who reported using waterpipe had higher urinary manganese (geometric mean ratio (GMR): 2.42, 95% confidence interval (CI): 1.16, 5.07) than never/former waterpipe or cigarette smokers. Being exposed to more hours of secondhand smoke from waterpipes was associated with higher concentrations of cobalt (GMR: 1.38, 95% CI: 1.10, 1.75). Participants involved in lighting waterpipes had higher urinary cobalt (GMR: 1.43, 95% CI: 1.10, 1.86), cesium (GMR: 1.21, 95% CI: 1.00, 1.48), molybdenum (GMR: 1.45, 95% CI: 1.08, 1.93), 1-hydroxypyrene (GMR: 1.36, 95% CI: 1.03, 1.80), and several VOC metabolites. CONCLUSION: Waterpipe tobacco users and nonsmoking employees of waterpipe venues had higher urinary concentrations of several toxic metals including manganese and cobalt as well as of VOCs, in a distinct signature compared to cigarette smoke. Employees involved in lighting waterpipes may have higher exposure to multiple toxic chemicals compared to other employees.
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