A link between adolescent nicotine metabolism and smoking topography

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Abstract

Adult slow nicotine metabolizers have lower smoke exposure, carbon monoxide levels, and plasma nicotine levels than normal and fast metabolizers. Emerging evidence suggests nicotine metabolism influences smoking topography. This study investigated the association of nicotine metabolism (the ratio of plasma 3-hydroxycotinine to cotinine; 3OHCOT/COT) with smoking topography in adolescent smokers (n = 85; 65% female, 68% European American; mean age, 15.3 ± 1.2 years; mean cigarettes per day, 18.5 ± 8.5; mean Fagerström Test for Nicotine Dependence, 7.0 ± 1.2) presenting for a nicotine replacement therapy trial. Measures obtained included puff volume, interpuff interval, number of puffs, puff duration, and puff velocity. Linear regression analysis controlling for hormonal contraception use showed that 3OHCOT/COT ratios predicted mean puff volume in the overall sample (t = 2.126; P = 0.037; adjusted R2 = 0.067). After gender stratification, faster metabolism predicted higher mean puff volume (t = 2.81; P = 0.009; adjusted R2 = 0.192) but fewer puffs (t = -3.160; P = 0.004; adjusted R2 = 0.237) and lower mean puff duration (t = -2.06; P = 0.048; adjusted R2 = 0.101) among boys only, suggesting that as nicotine metabolism increases, puff volume increases but puffing frequency decreases. No significant relationships were found between nicotine metabolism and total puff volume, mean puff duration, interpuff interval, or puff velocity. If confirmed in a broader sample of adolescent smokers, these findings suggest that as among dependent adult smokers, rate of metabolism among adolescent boys is linked to select parameters of puffing behavior that may affect cessation ability. Copyright © 2009 American Association for Cancer Research.

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APA

Moolchan, E. T., Parzynski, C. S., Jaszyna-Gasior, M., Collins, C. C., Leff, M. K., & Zimmerman, D. L. (2009). A link between adolescent nicotine metabolism and smoking topography. Cancer Epidemiology Biomarkers and Prevention, 18(5), 1578–1583. https://doi.org/10.1158/1055-9965.EPI-08-0592

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