ArticleAmerican journal of public health2013
Population use, sales, and design: a multidimensional assessment of "light" cigarettes in the United States, 2009.
Article in American journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cigarette filter ventilation, product appeal and regulatory options: a review of the influence of ventilation on consumers' sensory and risk perceptions.Tobacco control · 2026Pooled it
- Socioeconomic Disadvantage and Other Risk Factors for Using Higher-Nicotine/Tar-Yield (Regular Full-Flavor) Cigarettes.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017Article
- Higher price, fewer packs: evaluating a tobacco tax increase with cigarette sales data.American journal of public health · 2015Article
- Gender and racial differences in smoking of long/ultra-long and king size cigarettes among U.S. adult smokers, NHANES 1999-2012.Drug and alcohol dependence · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe compared multiple measures of surveillance of "light" cigarette use, including population use, sales, and design features. Measures were obtained before the 2010 descriptors ban to establish a baseline for future evaluation of the effect of the ban.
methodsWe examined light cigarette use, sales, and design using 3 data sets from 2009. We assessed population use using National Survey on Drug Use and Health data. Sales data were drawn from AC Nielsen. We gathered design features, including nicotine concentration, filter ventilation, and weight, from tobacco industry disclosures mandated by the Massachusetts Department of Public Health.
resultsIn 2009, 52.7% of smokers self-reported light cigarette use, which accounted for 56.0% of cigarettes sold in the United States. Self-reported light smokers were more likely to be female, White, older, and nondaily smokers. Of design features analyzed, only average filter ventilation differed significantly between light and "full-flavored" cigarettes.
conclusionsAssessment of the impact of the descriptors ban and any future policies surrounding light cigarettes should use multiple surveillance strategies, including measures of population use, sales, and cigarette design.
Indexed as
Identifiers
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.