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Original Articles

Study on the daily Ad Libitum smoking habits of active Korean smokers and their effect on urinary smoking exposure and impact biomarkers

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Pages 691-702 | Received 10 Jun 2021, Accepted 12 Sep 2021, Published online: 13 Oct 2021

References

  • Ahijevych, K., and Parsley, L.A., 1999. Smoke constituent exposure and stage of change in black and white women cigarette smokers. Addictive behaviors, 24 (1), 115–120.
  • Appleton, S., et al., 2015. Effect of cigarette design on biomarkers of exposure, puffing topography and respiratory parameters. Inhalation toxicology, 27 (3), 174–180.
  • Benowitz, N. L., Hukkanen, J., and Jacob, P., III, 2009. Nicotine chemistry, metabolism, kinetics and biomarkers. In: J.E. Henningfield, E.D. London, and S. Pogun, eds. Handbook of experimental pharmacology. Berlin, Heidelberg: Springer, 29–60.
  • Benowitz, N.L., et al., 1986. Influence of smoking fewer cigarettes on exposure to tar, nicotine, and carbon monoxide. The New England journal of medicine, 315 (21), 1310–1313.
  • Benowitz, N.L., et al., 2018. Comparison of urine 4-(Methylnitrosamino)-1-(3)Pyridyl-1-Butanol and cotinine for assessment of active and passive smoke exposure in urban adolescents. Cancer epidemiology, biomarkers & prevention, 27 (3), 254–261.
  • Benowitz, N.L., et al., 2003. Nicotine metabolite ratio as a predictor of cigarette consumption. Nicotine & tobacco research, 5 (5), 621–624.
  • Chung, S., et al., 2015. Smoking topography in Korean American and white men: preliminary findings. Journal of immigrant and minority health, 17 (3), 860–866.
  • Counts, M.E., et al., 2004. Mainstream smoke constituent yields and predicting relationships from a worldwide market sample of cigarette brands: ISO smoking conditions. Regulatory toxicology and pharmacology, 39 (2), 111–134.
  • De Jesus, S., et al., 2015. A systematic review and analysis of data reduction techniques for the CReSS smoking topography device. Journal of smoking cessation, 10 (1), 12–28.
  • Dempsey, D., et al., 2004. Nicotine metabolite ratio as an index of cytochrome P450 2A6 metabolic activity. Clinical pharmacology and therapeutics, 76 (1), 64–72.
  • Fagerstrom, K.O., and Schneider, N.G., 1989. Measuring nicotine dependence: a review of the fagerstrom tolerance questionnaire. Journal of behavioral medicine, 12 (2), 159–182.
  • Fix, B.V., et al., 2017. Nicotine Metabolite Ratio (NMR) prospectively predicts smoking relapse: longitudinal findings from ITC surveys in five countries. Nicotine & tobacco research, 19 (9), 1040–1047.
  • Fu, M., Fernandez, E., Martínez-Sánchez, J.M., Pascual, J.A., Schiaffino, A., Agudo, A., Ariza, C., Borràs, J.M., and Samet, J.M., 2009. Salivary cotinine concentrations in daily smokers in Barcelona, Spain: a cross-sectional study. BMC public health, 9 (1), 320.
  • Grainge, M.J., et al., 2009. First cigarette on waking and time of day as predictors of puffing behaviour in UK adult smokers. Drug and alcohol dependence, 101 (3), 191–195.
  • Gunter, R., et al., 2020. Cigarette smoking in South Korea: a narrative review. Korean journal of family medicine, 41 (1), 3–13.
  • Habibagahi, A., Alderman, N., and Kubwabo, C., 2020. A review of the analysis of biomarkers of exposure to tobacco and vaping products. Analytical methods: advancing methods and applications, 12 (35), 4276–4302.
  • Han, J.Y., et al., 2001. CT measurement of diameter and dimension of the trachea in normal Korean adults. Journal of chest surgery, 34 (7), 534–538.
  • Jacob, P., III., et al., 2011. Determination of the nicotine metabolites cotinine and trans-3'-hydroxycotinine in biologic fluids of smokers and non-smokers using liquid chromatography-tandem mass spectrometry: biomarkers for tobacco smoke exposure and for phenotyping cytochrome P450 2A6 activity. Journal of chromatography. B, analytical technologies in the biomedical and life sciences, 879 (3–4), 267–276.
  • Joseph, A.M., et al., 2005. Relationships between cigarette consumption and biomarkers of tobacco toxin exposure. Cancer epidemiology, biomarkers & prevention, 14 (12), 2963–2968.
  • June, K.M., et al., 2012. Influence of measurement setting and home smoking policy on smoking topography. Addictive behaviors, 37 (1), 42–46.
  • Kim, S., and Yu, S., 2018. Smoking topography among Korean smokers: intensive smoking behavior with larger puff volume and shorter interpuff interval. International journal of environmental research and public health, 15 (5), 1024.
  • Korea Disease Control and Prevention Agency, 2020. The Seventh Korea National Health and Nutrition Examination Survey (KNHANES VII). Available from: https://knhanes.kdca.go.kr/knhanes/main.do.
  • Lerman, C., et al., 2006. Nicotine metabolite ratio predicts efficacy of transdermal nicotine for smoking cessation. Clinical pharmacology & therapeutics, 79 (6), 600–608.
  • Lüdicke, F., et al., 2016. Evaluation of biomarkers of exposure in smokers switching to a carbon-heated tobacco product: a controlled, randomized, open-label 5-day exposure study. Nicotine & tobacco research, 18 (7), 1606–1613.
  • Luepker, R. V., 2021. Smoking and vaping. In: N.D. Wong, E.A. Amsterdam, and P.P. Toth, eds. ASPC manual of preventive cardiology. Cham: Springer, 149–162.
  • Lyall, V., et al., 2020. “They were willing to work with me and not pressure me”: a qualitative investigation into the features of value of a smoking cessation in pregnancy program for aboriginal and Torres Strait islander women. International journal of environmental research and public health, 18 (1), 49.
  • Matsumoto, M., et al., 2013. Smoking topography and biomarkers of exposure among Japanese smokers: associations with cigarette emissions obtained using machine smoking protocols. Environmental health and preventive medicine, 18 (2), 95–103.
  • Ministry of Food and Drug Safety, 2017. Ministry of Food and Drug Safety announces the content of harmful ingredients in cigarettes and e-cigarettes at the government level. Available from: https://www.mfds.go.kr/brd/m_99/view.do?seq=36783 [Accessed 19 Jul 2021].
  • Morgan, J.C., et al., 2017. How people think about the chemicals in cigarette smoke: a systematic review. Journal of behavioral medicine, 40 (4), 553–564.
  • Nakajima, M., and Yokoi, T., 2005. Interindividual variability in nicotine metabolism: C-oxidation and glucuronidation. Drug metabolism and pharmacokinetics, 20 (4), 227–235.
  • Radakrishnan, A., et al., 2021. "Are we gonna talk about it or not?" Thoracic oncology provider perspectives on smoking cessation?. The journal of surgical research, 258, 422–429.
  • Schick, S.F., et al., 2017. Biomarkers of exposure to new and emerging tobacco delivery products. American journal of physiology. Lung cellular and molecular physiology, 313 (3), L425–L452.
  • St. Helen, G., Jacob, P., III., and Benowitz, N.L., 2013. Stability of the nicotine metabolite ratio in smokers of progressively reduced nicotine content cigarettes. Nicotine & tobacco research, 15 (11), 1939–1942.
  • Thomas, C.E., et al., 2020. Urinary cotinine is as good a biomarker as serum cotinine for cigarette smoking exposure and lung cancer risk prediction. Cancer epidemiology, biomarkers & prevention, 29 (1), 127–132.
  • United Nations, 2015. Goal 3 | Department of Economic and Social Affairs. Available from: https://sdgs.un.org/goals/goal3 [Accessed 8 Jan 2021].
  • van Waateringe, R.P., et al., 2017. The association between various smoking behaviors, cotinine biomarkers and skin autofluorescence, a marker for advanced glycation end product accumulation. PLOS one, 12 (6), e0179330.
  • Vock, P., et al., 1984. CT Assessment of the adult intrathoracic cross section of the trachea. Journal of computer assisted tomography, 8 (6), 1076–1082.
  • WHO, 2019. WHO report on the global tobacco epidemic, 2019. Geneva: World Health Organization.
  • Williams, J.M., et al., 2011. Shorter interpuff interval is associated with higher nicotine intake in smokers with schizophrenia. Drug and alcohol dependence, 118 (2–3), 313–319.
  • Yang, J., et al., 2020. Korean male active smokers: quantifying their smoking habits and the transformation factor among biomarkers in urine and blood. Biomarkers: biochemical indicators of exposure, response, and susceptibility to chemicals, 25 (8), 659–669.
  • Yuan, J.-M., et al., 2014. Urinary tobacco smoke-constituent biomarkers for assessing risk of lung cancer. Cancer research, 74 (2), 401–411.

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