Cluster analysis of urinary tobacco biomarkers among US adults: Population Assessment of Tobacco and Health (PATH) biomarker study (2013-2014)

PREVENTIVE MEDICINE

卷:140

Article

Majeed, Ban¹  Linder, Daniel¹  Eissenberg, Thomas²  Tarasenko, Yelena³  Smith, Danielle⁴  Ashley, David⁵ 

[1] Augusta Univ, Med Coll Georgia, Dept Populat Hlth Sci, Augusta, GA 30912 USA

[2] Virginia Commonwealth Univ, Dept Psychol, Ctr Study Tobacco Prod, Box 2018, Richmond, VA 23284 USA

[3] Georgia Southern Univ, Jiann Ping Hsu Coll Publ Hlth, Div Biostat Epidemiol & Environm Hlth Sci, Statesboro, GA USA

[4] Roswell Park Comprehens Canc Ctr, Dept Hlth Behav, Buffalo, NY USA

[5] Georgia State Univ, Sch Publ Hlth, Dept Populat Hlth Sci, Atlanta, GA 30303 USA

关键词: Cluster analysis;    Tobacco biomarkers;    Exposure profile;    Smoking;    Smokeless tobacco;    ECIG;    Dual use;    Poly use;   

DOI  :  10.1016/j.ypmed.2020.106218

来源: Elsevier

【 摘 要 】

Tobacco use delivers nicotine, tobacco-specific nitrosamines (TSNAs), volatile organic compounds (VOCs), and polycyclic aromatic hydrocarbons (PAHs), which are metabolized and excreted in urine offering useful biomarkers of exposure. Previous studies compared individual toxicants across tobacco users. Based on a group of biomarkers, cluster analysis was used to define tobacco toxicant exposure profiles. Clusters with distinct exposure profiles, were determined and described, based on levels of urinary biomarkers of exposure to nicotine, TSNAs, VOCs, and PAHs among a national sample of current, established, adult tobacco users, and examine the association of use behavior and cluster membership. The PATH Biomarker Wave 1 data were analyzed. Current established tobacco users with complete urinary biomarker data were included (N = 6724). User groups included cigarette smokers, users of electronic cigarette (ECIG), smokeless tobacco (SLT), and dual and poly tobacco users. Cluster analysis, pairwise comparisons, and multinomial logistic regression were conducted. Cigarette smokers were primarily in clusters with high biomarker concentrations across all groups, but actual concentrations were associated with smoking quantity. A cluster with high TSNAs but low levels of PAHs and VOCs was heavily populated by SLT users. Exclusive ECIG users, depending on use frequency, were predominantly in clusters with low biomarker concentrations, except for one cluster that had relatively high TSNAs. Clusters heavily populated by dual and poly tobacco users were the same as those heavily populated by cigarette smokers. Ten exposure profiles (clusters) were determined and linked to tobacco use behavior. Findings could inform future research and policy initiatives.

【 授权许可】

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