Evidence map›Paper›PMID 27760782›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2017

Determinants of Light and Intermittent Smoking in the United States: Results from Three Pooled National Health Surveys.

Carolyn M Reyes-Guzman, Ruth M Pfeiffer, Jay Lubin, Neal D Freedman, Sean D Cleary, Paul H Levine, Neil E Caporaso

Abstract readMulticenter Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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  4. Using Nicotine Gum to Assist Nondaily Smokers in Quitting: A Randomized Clinical Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
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  8. Article
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  13. Tobacco Biomarkers by Latino Heritage and Race, US, 2007 to 2014 National Health and Nutrition Examination Survey.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
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  20. Tobacco and Nicotine Use Among US Adult "Never Smokers" in Wave 4 (2016-2018) of the Population Assessment of Tobacco and Health Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Carolyn M Reyes-GuzmanDivision of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland. reyesguzmancm@mail.nih.gov.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.
Jay LubinDivision of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.
Neal D FreedmanDivision of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.
Sean D ClearyDepartment of Epidemiology and Biostatistics, The George Washington University Milken Institute School of Public Health, Washington, District of Columbia.
Paul H LevineDepartment of Epidemiology, University of Nebraska Medical Center, College of Public Health, Nebraska Medical Center, Omaha, Nebraska.
Neil E CaporasoDivision of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland.

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

backgroundLight and/or intermittent smokers have been the fastest growing segment of cigarette smokers in the United States over the past two decades. Defining their behavioral characteristics is a critical public health priority.

methodsOur sample included 78,229 U.S. adults from three pooled contemporary population-based surveys: the 2012 NHIS, 2012 NSDUH, and 2011-2012 NHANES. We classified current smokers into four categories (light and intermittent [LITS], light-daily, heavier-intermittent, and heavier-daily) and assessed smoking behaviors, illicit drug use, and mental health indicators using weighted analyses.

resultsAnalyses associated smoking categories with nicotine dependence, age of smoking initiation, race/ethnicity, and other demographic and behavioral factors. Compared with heavier-daily smokers, smokers who were LITS were most likely to have mild or no nicotine dependence (weighted odds ratio [OR], 16.92; 95% confidence interval [CI], 13.10-21.85), to start smoking cigarettes regularly after age 21 (OR, 3.42; 95% CI, 2.84-4.12), and to be Hispanic (OR, 5.38; 95% CI, 4.38-6.61). Additional significant results were found for other categories of smokers.

conclusionsBased on pooled data from three large national surveys, light and/or intermittent smokers differed in smoking, drug use, and mental health behaviors from heavier-daily, former, and never smokers. Notable differences by level of smoking frequency and intensity were observed for nicotine dependence, age of smoking initiation, and race/ethnicity. IMPACT: Our results may help focus preventive measures and policies for the growing number of light and/or intermittent smokers in the United States because smoking patterns vary by behavioral and socioeconomic factors. Cancer Epidemiol Biomarkers Prev; 26(2); 228-39. ©2016 AACR.

Indexed as

EthnicityRacial GroupsAdolescentAdultFemaleHealth SurveysHumansIncidenceMaleMiddle AgedNutrition SurveysOdds RatioPrevalenceRetrospective StudiesSmokingSocioeconomic Factors

Identifiers

PMID27760782
PMCPMC5296280

What OpenQuestion holds

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Registered trials

None linked

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.