ReviewJournal of general internal medicine2004
Tobacco industry research on smoking cessation. Recapturing young adults and other recent quitters.
Review in Journal of general internal medicine, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed.
- Testing antismoking messages for Air Force trainees.Tobacco control · 2016Trial
- Pilot randomized trial on mindfulness training for smokers in young adult binge drinkers.BMC complementary and alternative medicine · 2013Trial
- Getting young adults to quit smoking: a formative evaluation of the X-Pack Program.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2008Trial
- Strengthening Tobacco Product Regulation: Addressing Challenges and Strategies for Articles 9 and 10 Implementation.Health care analysis : HCA : journal of health philosophy and policy · 2026Article
- Tobacco consumption behavior change during the COVID-19 pandemic is associated with perceived COVID threat.BMC public health · 2024Article
- Global landscape of nicotine and tobacco products additives policies.Tobacco control · 2024Article
- Tobacco advertising exposure and product use among young adults: An ecological momentary assessment approach.Addictive behaviors · 2023Article
- Factors associated with a change in smoking habit during the first COVID-19 lockdown: an Italian cross-sectional study among ever-smokers.BMC public health · 2022Article
- Associations between smoking trajectories, smoke-free laws and cigarette taxes in a longitudinal sample of youth and young adults.PloS one · 2021Article
- Further psychometric analysis of the 20-item Partner Interaction Questionnaire in an adult sample of smokers.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2019Article
- Real Time Assessment of Young Adults' Attitudes toward Tobacco Messages.Tobacco regulatory science · 2018Article
- Discontinuous Patterns of Cigarette Smoking From Ages 18 to 50 in the United States: A Repeated-Measures Latent Class Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017Article
- Fighting Fire With Fire: Using Industry Market Research to Identify Young Adults at Risk for Alternative Tobacco Product and Other Substance Use.Social marketing quarterly · 2017Article
- Article
- Evaluating Point of Sale Tobacco Marketing Using Behavioral Laboratory Methods.Tobacco regulatory science · 2016Article
- Minimum Ages of Legal Access for Tobacco in the United States From 1863 to 2015.American journal of public health · 2016Article
- College Students' Polytobacco Use, Cigarette Cessation, and Dependence.American journal of health behavior · 2016Article
- DECOY: Documenting Experiences with Cigarettes and Other Tobacco in Young Adults.American journal of health behavior · 2016Article
- Quitting activity and tobacco brand switching: findings from the ITC-4 Country Survey.Australian and New Zealand journal of public health · 2015Article
- Picture Me Smokefree: a qualitative study using social media and digital photography to engage young adults in tobacco reduction and cessation.Journal of medical Internet research · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundSmoking rates are declining in the United States, except for young adults (age 18 to 24). Few organized programs target smoking cessation specifically for young adults, except programs for pregnant women. In contrast, the tobacco industry has invested much time and money studying young adult smoking patterns. Some of these data are now available in documents released through litigation.
objectiveReview tobacco industry marketing research on smoking cessation to guide new interventions and improve clinical practice, particularly to address young adult smokers' needs.
methodsAnalysis of previously secret tobacco industry documents.
resultsCompared to their share of the smoking population, young adult smokers have the highest spontaneous quitting rates. About 10% to 30% of smokers want to quit; light smokers and brand switchers are more likely to try. Tobacco companies attempted to deter quitting by developing products that appeared to be less addictive or more socially acceptable. Contrary to consumer expectations, "ultra low tar" cigarette smokers were actually less likely to quit.
conclusionsTobacco industry views of young adult quitting behavior contrast with clinical practice. Tobacco marketers concentrate on recapturing young quitters, while organized smoking cessation programs are primarily used by older smokers. As young people have both the greatest propensity to quit and the greatest potential benefits from smoking cessation, targeted programs for young adults are needed. Tobacco marketing data suggest that aspirational messages that decrease the social acceptability of smoking and support smoke-free environments resonate best with young adult smokers' motivations.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.