Literature DB >> 16517278

Secret science: tobacco industry research on smoking behaviour and cigarette toxicity.

David Hammond1, Neil E Collishaw, Cynthia Callard.   

Abstract

A lack of scientific data remains the principal obstacle to regulating cigarette toxicity. In particular, there is an immediate need to improve our understanding of the interaction between smoking behaviour and product design, and its influence on cigarette deliveries. This article reviews internal tobacco industry documents on smoking behaviour research undertaken by Imperial Tobacco Limited (ITL) and British-American Tobacco (BAT). BAT documents indicate that smokers vary their puffing behaviour to regulate nicotine levels and compensate for low-yield cigarettes by smoking them more intensely. BAT research also shows that the tar and nicotine delivered to smokers is substantially greater than the machine-smoked yields reported to consumers and regulators. Internal documents describe a strategy to maximise this discrepancy through product design. In particular, BAT developed elastic cigarettes that produced low yields under standard testing protocols, whereas in consumers' hands they elicited more intensive smoking and provided higher concentrations of tar and nicotine to smokers. Documents also show that BAT pursued this product strategy despite the health risks to consumers and ethical concerns raised by senior scientists, and paired it with an equally successful marketing campaign that promoted these cigarettes as low-tar alternatives for health-concerned smokers. Overall, the documents seem to reveal a product strategy intended to exploit the limitations of the testing protocols and to intentionally conceal from consumers and regulators the potential toxicity of BAT products revealed by BAT's own research. Tobacco industry research underscores the serious limitations of the current cigarette testing protocols and the documents describe deceptive business practices that remain in place.

Entities:  

Keywords:  Biomedical and Behavioral Research; Empirical Approach

Mesh:

Substances:

Year:  2006        PMID: 16517278     DOI: 10.1016/S0140-6736(06)68077-X

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  23 in total

1.  Cigarette characteristic and emission variations across high-, middle- and low-income countries.

Authors:  R J O'Connor; K J Wilkins; R V Caruso; K M Cummings; L T Kozlowski
Journal:  Public Health       Date:  2010-10-28       Impact factor: 2.427

2.  Nicotine induces pro-inflammatory response in aortic vascular smooth muscle cells through a NFκB/osteopontin amplification loop-dependent pathway.

Authors:  Yongyi Wang; Fei Zhang; Wengang Yang; Song Xue
Journal:  Inflammation       Date:  2012-02       Impact factor: 4.092

3.  Impact of corrective health information on consumers' perceptions of "reduced exposure" tobacco products.

Authors:  Lois Biener; Karen Bogen; Gregory Connolly
Journal:  Tob Control       Date:  2007-10       Impact factor: 7.552

4.  Do we believe the tobacco industry lied to us? Association with smoking behavior in a military population.

Authors:  Robert C Klesges; Deborah A Sherrill-Mittleman; Margaret Debon; G Wayne Talcott; Robert J Vanecek
Journal:  Health Educ Res       Date:  2009-06-15

5.  What happened to smokers' beliefs about light cigarettes when "light/mild" brand descriptors were banned in the UK? Findings from the International Tobacco Control (ITC) Four Country Survey.

Authors:  R Borland; G T Fong; H-H Yong; K M Cummings; D Hammond; B King; M Siahpush; A McNeill; G Hastings; R J O'Connor; T Elton-Marshall; M P Zanna
Journal:  Tob Control       Date:  2008-04-21       Impact factor: 7.552

6.  Commentary: the global tobacco litigation initiative: an effort to protect developing countries from big tobacco.

Authors:  Mohammed Al-hamdani
Journal:  J Public Health Policy       Date:  2014-02-27       Impact factor: 2.222

Review 7.  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

Review 8.  Surveillance methods for identifying, characterizing, and monitoring tobacco products: potential reduced exposure products as an example.

Authors:  Richard J O'Connor; K Michael Cummings; Vaughan W Rees; Gregory N Connolly; Kaila J Norton; David Sweanor; Mark Parascandola; Dorothy K Hatsukami; Peter G Shields
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-12       Impact factor: 4.254

9.  Beliefs about the relative harm of "light" and "low tar" cigarettes: findings from the International Tobacco Control (ITC) China Survey.

Authors:  T Elton-Marshall; G T Fong; M P Zanna; Y Jiang; D Hammond; R J O'Connor; H-H Yong; L Li; B King; Q Li; R Borland; K M Cummings; P Driezen
Journal:  Tob Control       Date:  2010-10       Impact factor: 7.552

Review 10.  False promises: the tobacco industry, "low tar" cigarettes, and older smokers.

Authors:  Janine K Cataldo; Ruth E Malone
Journal:  J Am Geriatr Soc       Date:  2008-08-04       Impact factor: 5.562

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