Evidence map›Paper›PMID 28339571›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2017

Depression Among Non-Daily Smokers Compared to Daily Smokers and Never-Smokers in the United States: An Emerging Problem.

Andrea H Weinberger, Misato Gbedemah, Melanie M Wall, Deborah S Hasin, Michael J Zvolensky, Michael Chaiton, Renee D Goodwin

Open access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  12. Reducing the Prevalence of Smoking: Policy Measures and Focusing on Specific Populations.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017
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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 at 6 institutions in 2 countries.

Andrea H WeinbergerFerkauf Graduate School of Psychology, Yeshiva University, Bronx, NY.
Misato GbedemahDepartment of Psychology, Queens College and The Graduate Center, City University of New York (CUNY), Queens, NY.
Melanie M WallDepartment of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY.
Deborah S HasinDepartment of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY.
Michael J ZvolenskyDepartment of Psychology, University of Houston, Houston, TX.
Michael ChaitonOntario Tobacco Research Unit, Toronto, Canada.
Renee D GoodwinDepartment of Psychology, Queens College and The Graduate Center, City University of New York (CUNY), Queens, NY.
Columbia University · USNew York Psychoanalytic Society and Institute · USThe Graduate Center, CUNY · USUniversity of Houston · USUniversity of Toronto · CAYeshiva University · US

Funding

Role of Depression and Anxiety in the Tobacco EpidemicR01DA020892 · NIDA · QUEENS COLLEGE · PI GOODWIN, RENEE D · 2005 to 2017
$2.4M
NIDA NIH HHS R01 DA020892
6 · The paper itself

Abstract

introductionDepression is strongly associated with daily smoking. Yet, little is known about the association between depression and non-daily smoking. The aim of this study was to investigate the prevalence of past-year depression and changes in past-year depression over time among non-daily smokers, compared to daily smokers and never-smokers, overall and stratified by age, gender, income, nicotine dependence, and cigarettes per day.

methodsData were drawn from the National Household Survey on Drug Use (NSDUH), an annual cross-sectional study of persons aged 12 and over (total study population N = 496 805). The prevalence of past-year depression was examined annually among non-daily smokers, daily smokers, and never-smokers from 2005 to 2013 using linear trend analyses.

resultsPast-year depression was common among 10.10% of non-daily smokers, common among 10.78% of daily smokers, and 5.51% of never-smokers in 2013. The prevalence of depression increased from 2005 to 2013 among non-daily smokers (9.06% vs. 10.10%; p = .034) while there was no significant change in depression over time among daily smokers. Increases in depression among non-daily smokers occurred for both men and women and appear most pronounced youth, those smoking fewer cigarettes, and those without nicotine dependence.

conclusionsThe prevalence of depression among non-daily smokers was equivalent to daily smokers and nearly twice that among nonsmokers. Depression appears to be increasing over time in non-daily smokers especially among youth, those who smoke less, and those without nicotine dependence. More work on the mental health of non-daily smokers is needed as this is an increasing and understudied group. IMPLICATIONS: This is the first study to investigate changes in the prevalence of depression among non-daily smokers compared to daily smokers and never-smokers over the past decade in a nationally representative sample of the United States. The results suggest an increase in depression among non-daily smokers over time that did not similarly occur for daily smokers. Further, there were several subgroups of non-daily smokers among whom depression has increased more rapidly. This study suggests the need for more information about the relationship between depression and non-daily smoking including the impact of depression on quit attempts and outcomes.

Indexed as

DepressionAdolescentAdultChildCross-Sectional StudiesFemaleHumansMaleSmokersSmokingUnited StatesYoung Adult

Identifiers

PMID28339571
PMCPMC5896441
OpenAlexW2588689214

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.