Literature DB >> 19423535

A link between adolescent nicotine metabolism and smoking topography.

Eric T Moolchan1, Craig S Parzynski, Maria Jaszyna-Gasior, Charles C Collins, Michelle K Leff, Debra L Zimmerman.   

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 R(2) = 0.067). After gender stratification, faster metabolism predicted higher mean puff volume (t = 2.81; P = 0.009; adjusted R(2) = 0.192) but fewer puffs (t = -3.160; P = 0.004; adjusted R(2) = 0.237) and lower mean puff duration (t = -2.06; P = 0.048; adjusted R(2) = 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.

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Year:  2009        PMID: 19423535      PMCID: PMC2720594          DOI: 10.1158/1055-9965.EPI-08-0592

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  29 in total

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Journal:  J Pharm Pharmacol       Date:  1990-06       Impact factor: 3.765

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Authors:  M L Pianezza; E M Sellers; R F Tyndale
Journal:  Nature       Date:  1998-06-25       Impact factor: 49.962

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Authors:  Andrew A Strasser; Wallace B Pickworth; Freda Patterson; Caryn Lerman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2004-11       Impact factor: 4.254

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Journal:  Eur Respir J       Date:  1998-08       Impact factor: 16.671

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Authors:  P Jacob; A T Shulgin; L Yu; N L Benowitz
Journal:  J Chromatogr       Date:  1992-12-02
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  10 in total

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-05-02       Impact factor: 4.254

5.  CYP2A6 metabolism in the development of smoking behaviors in young adults.

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Journal:  Addict Biol       Date:  2016-12-29       Impact factor: 4.280

Review 6.  Systematic review of the relationship between the 3-hydroxycotinine/cotinine ratio and cigarette dependence.

Authors:  Oliver West; Peter Hajek; Hayden McRobbie
Journal:  Psychopharmacology (Berl)       Date:  2011-05-20       Impact factor: 4.530

7.  Shorter interpuff interval is associated with higher nicotine intake in smokers with schizophrenia.

Authors:  Jill M Williams; Kunal K Gandhi; Shou-En Lu; Supriya Kumar; Marc L Steinberg; Brett Cottler; Neal L Benowitz
Journal:  Drug Alcohol Depend       Date:  2011-05-18       Impact factor: 4.492

8.  Predictors of Nicotine Dependence Among Adult Male Midwakh and Cigarette Smokers.

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9.  Age-related differences in the disposition of nicotine and metabolites in rat brain and plasma.

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Journal:  Nicotine Tob Res       Date:  2013-06-04       Impact factor: 4.244

10.  Polytobacco use among a nationally-representative sample of black high school students.

Authors:  Tamika D Gilreath; Derek T Dangerfield; Francisco A Montiel Ishino; Ashley V Hill; Renee M Johnson
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  10 in total

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