Literature DB >> 6819031

Relationship between cigarette yields, puffing patterns, and smoke intake: evidence for tar compensation?

S R Sutton, M A Russell, R Iyer, C Feyerabend, Y Saloojee.   

Abstract

The relationship between cigarette yields (of nicotine, tar, and carbon monoxide), puffing patterns, and smoke intake was studied by determining puffing patterns and measuring blood concentrations of nicotine and carboxy-haemoglobin (COHb) in a sample of 55 smokers smoking their usual brand of cigarette. Regression analyses showed that the total volume of smoke puffed from a cigarette was a more important determinant of peak blood nicotine concentration than the nicotine or tar yield of the cigarette, its length, or the reported number of cigarettes smoked on the test day. There was evidence of compensation for a lower tar yield over and above any compensation for nicotine. When nicotine yield was controlled for, smokers of lower-tar cigarettes not only puffed more smoke from their cigarettes than smokers of higher-tar cigarettes but they also had higher plasma nicotine concentrations, suggesting that they were compensating for the reduced delivery of tar by puffing and inhaling a greater volume of smoke. The results based on the COHb concentrations were consistent with this interpretation. If an adequate intake of tar proves to be one of the main motives for smoking, then developing a cigarette that is acceptable to smokers and also less harmful to their health will be much more difficult.

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Year:  1982        PMID: 6819031      PMCID: PMC1499443          DOI: 10.1136/bmj.285.6342.600

Source DB:  PubMed          Journal:  Br Med J (Clin Res Ed)        ISSN: 0267-0623


  6 in total

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Authors:  C Feyerabend; M A Russell
Journal:  J Pharm Pharmacol       Date:  1979-02       Impact factor: 3.765

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Authors:  N J Wald; M Idle; J Boreham; A Bailey
Journal:  Thorax       Date:  1980-12       Impact factor: 9.139

6.  Relation of nicotine yield of cigarettes to blood nicotine concentrations in smokers.

Authors:  M A Russell; M Jarvis; R Iyer; C Feyerabend
Journal:  Br Med J       Date:  1980-04-05
  6 in total
  28 in total

1.  The effects of household and workplace smoking restrictions on quitting behaviours.

Authors:  A J Farkas; E A Gilpin; J M Distefan; J P Pierce
Journal:  Tob Control       Date:  1999       Impact factor: 7.552

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Journal:  Clin Investig       Date:  1992 Mar-Apr

Review 3.  Systematic Review and Meta-Analysis of Inhaled Toxicants from Waterpipe and Cigarette Smoking.

Authors:  Brian A Primack; Mary V Carroll; Patricia M Weiss; Alan L Shihadeh; Ariel Shensa; Steven T Farley; Michael J Fine; Thomas Eissenberg; Smita Nayak
Journal:  Public Health Rep       Date:  2016 Jan-Feb       Impact factor: 2.792

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Authors:  C H Withey; A O Papacosta; A V Swan; B A Fitzsimons; G A Ellard; P G Burney; J R Colley; W W Holland
Journal:  J Epidemiol Community Health       Date:  1992-06       Impact factor: 3.710

5.  Brand switching or reduced consumption? A study of how cigarette taxes affect tobacco consumption.

Authors:  Chiang-Ming Chen; Kuo-Liang Chang; Lin Lin; Jwo-Leun Lee
Journal:  Eur J Health Econ       Date:  2013-12-12

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Authors:  David A Macqueen; Bryan W Heckman; Melissa D Blank; Kate Janse Van Rensburg; David E Evans; David J Drobes
Journal:  Psychopharmacology (Berl)       Date:  2012-03-20       Impact factor: 4.530

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Authors:  R Nil; K Bättig
Journal:  Psychopharmacology (Berl)       Date:  1989       Impact factor: 4.530

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Authors:  Lynne E Dawkins; Catherine F Kimber; Mira Doig; Colin Feyerabend; Olivia Corcoran
Journal:  Psychopharmacology (Berl)       Date:  2016-05-27       Impact factor: 4.530

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Authors:  M Hasenfratz; B Baldinger; K Bättig
Journal:  Psychopharmacology (Berl)       Date:  1993       Impact factor: 4.530

Review 10.  Reconciling human smoking behavior and machine smoking patterns: implications for understanding smoking behavior and the impact on laboratory studies.

Authors:  Catalin Marian; Richard J O'Connor; Mirjana V Djordjevic; Vaughan W Rees; Dorothy K Hatsukami; Peter G Shields
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-12       Impact factor: 4.254

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