Evidence map›Paper›PMID 26888199›Full record

ArticleAddiction (Abingdon, England)2016

Depression motivates quit attempts but predicts relapse: differential findings for gender from the International Tobacco Control Study.

Jae Cooper, Ron Borland, Sherry A McKee, Hua-Hie Yong, Pierre-Antoine Dugué

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–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

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Identifying mechanisms that link pain to smoking relapse during a quit attempt.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021
    Trial
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  7. Patient Characteristics and Outcomes by Sex and Smoking Status in Pulmonary and Cardiac Rehabilitation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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  13. Nicotinic regulation of microglia: potential contributions to addiction.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
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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

5 authors.

Jae CooperCancer Council Victoria, Melbourne, Australia.
Ron BorlandCancer Council Victoria, Melbourne, Australia.
Sherry A McKeeYale University School of Medicine, New Haven, CT, USA.
Hua-Hie YongCancer Council Victoria, Melbourne, Australia.
Pierre-Antoine DuguéCancer Council Victoria, Melbourne, Australia.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Variation in Cigarettes, Tobacco use Behaviors and Exposures in ITC CountriesP01CA138389 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI CUMMINGS, KENNETH MICHAEL · 2009 to 2013
$13.4M
Project 3: Policy Effects on Cigarette Design, Emissions &BehaviorP50CA111236 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI CUMMINGS, KENNETH MICHAEL · 2004 to 2009
$8.2M
Yale SCOR on Gender-Sensitive Treatment for Tobacco DependenceP50DA033945 · NIDA · YALE UNIVERSITY · PI MCKEE, SHERRY ANN · 2012 to 2017
$6.5M
International Tobacco Policy SurveyR01CA100362 · NCI · UNIVERSITY OF WATERLOO · PI FONG, GEOFFREY T · 2005 to 2013
$4.7M
Cancer Research UK C312/A3726CIHR 57897CIHR 79551NCATS NIH HHS UL1 TR001863NCI NIH HHS P01 CA138389NCI NIH HHS P50 CA111236NCI NIH HHS R01 CA100362NIDA NIH HHS P50 DA033945
6 · The paper itself

Abstract

aimsTo determine whether signs of current depression predict attempts to quit smoking, and short-term abstinence among those who try, and to test moderating effects of gender and cessation support (pharmacological and behavioural).

designProspective cohort with approximately annual waves. Among smokers at one wave we assessed outcomes at the next wave using mixed-effects logistic regressions.

settingWaves 5-8 of the Four Country International Tobacco Control Study: a quasi-experimental cohort study of smokers from Canada, USA, UK and Australia.

participantsA total of 6811 tobacco smokers who participated in telephone surveys. MEASUREMENTS: Three-level depression index: (1) neither low positive affect (LPA) nor negative affect (NA) in the last 4 weeks; (2) LPA and/or NA but not diagnosed with depression in the last 12 months; and (3) diagnosed with depression. Outcomes were quit attempts and 1-month abstinence among attempters.

findingsDepression positively predicted quit attempts, but not after controlling for quitting history and motivational variables. Controlling for all covariates, depression consistently negatively predicted abstinence. Cessation support did not moderate this effect. There was a significant interaction with gender for quit attempts (P = 0.018) and abstinence (P = 0.049) after controlling for demographics, but not after all covariates. Depression did not predict abstinence among men. Among women, depressive symptoms [odds ratio (OR) = 0.63, 95% confidence interval (CI) = 0.49-0.81] and diagnosis (OR = 0.46, 95% CI = 0.34-0.63) negatively predicted abstinence.

conclusionsSmokers with depressive symptoms or diagnosis make more quit attempts than their non-depressed counterparts, which may be explained by higher motivation to quit, but they are also more likely to relapse in the first month. These findings are stronger in women than men.

Indexed as

MotivationAdultAustraliaCanadaCohort StudiesDepressionDepressive DisorderFemaleHumansMaleMiddle AgedProspective StudiesRecurrenceSex FactorsSmokingSmoking CessationCessation supportDepressiondepressive symptomsgenderrelapsesmoking cessation

Identifiers

PMID26888199
PMCPMC4940212

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.