Evidence map›Paper›PMID 23721534›Full record

ArticleThe American journal of drug and alcohol abuse2013

Changes in smoking for adults with and without alcohol and drug use disorders: longitudinal evaluation in the US population.

Andrea H Weinberger, Corey E Pilver, Rani A Hoff, Carolyn M Mazure, Sherry A McKee

Abstract read
In one paragraph

Article in The American journal of drug and alcohol abuse, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

35 citing papers in PubMed, 50 citations in OpenAlex.

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  11. Smoking As an Outcome Moderator In the Treatment of Alcohol Use Disorders.Alcohol and alcoholism (Oxford, Oxfordshire) · 2022
    Review
  12. Article
  13. Article
  14. Behavioral Economic Demand for Alcohol and Cigarettes in Heavy Drinking Smokers: Evidence of Asymmetric Cross-commodity Reinforcing Value.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  15. Independent and Combined Effects of Nicotine or Chronic Tobacco Smoking and HIV on the Brain: A Review of Preclinical and Clinical Studies.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2020
    Review
  16. Article
  17. Impact of Cannabis Use on Nicotine and Tobacco Use Outcomes.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  18. Article
  19. Article
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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 at 2 institutions in 1 country.

Andrea H WeinbergerDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06519, USA. andrea.weinberger@yale.edu
Corey E Pilver
Rani A Hoff
Carolyn M Mazure
Sherry A McKee
Yale University · USNational Center for PTSD · US

Funding

Yale SCOR on Gender-Sensitive Treatment for Tobacco DependenceP50DA033945 · NIDA · YALE UNIVERSITY · PI MCKEE, SHERRY ANN · 2012 to 2017
$6.5M
RESEARCH TRAINING IN MENTAL HEALTH EPIDEMIOLOGYT32MH014235 · NIMH · YALE UNIVERSITY · PI ZHANG, HEPING · 1985 to 2014
$4.0M
Modeling Stress-Precipitated Smoking Lapse for Medication Development (9 of 14)RL1DA024857 · NIDA · YALE UNIVERSITY · PI MCKEE, SHERRY ANN · 2007 to 2011
$1.3M
Interdisciplinary Research Education (#12 of 14)RL5DA024858 · NIDA · YALE UNIVERSITY · PI MAZURE, CAROLYN M. · 2007 to 2011
$839k
Gender differences in the association of depression to transitions in smoking.R03DA027052 · NIDA · YALE UNIVERSITY · PI WEINBERGER, ANDREA HOPE · 2010 to 2011
$139k
NIDA NIH HHS P50 DA033945NIDA NIH HHS P50-DA033945NIDA NIH HHS R03 DA027052NIDA NIH HHS R03-DA027052NIDA NIH HHS RL1 DA024857NIDA NIH HHS RL1-DA024857NIDA NIH HHS RL5 DA024858NIDA NIH HHS RL5DA024858NIMH NIH HHS T32 MH014235NIMH NIH HHS T32-MH014235
6 · The paper itself

Abstract

backgroundLittle is known about the smoking cessation and smoking relapse behavior of adults with alcohol use disorders (AUDs) and drug use disorders (DUDs).

objectiveThe current study used longitudinal data from a representative sample of the US adult population to examine changes in smoking over 3 years for men and women with and without AUD and DUD diagnoses.

methodsParticipants were current or former daily cigarette smokers at Wave 1 of the National Epidemiologic Survey on Alcohol and Related Conditions who completed the Wave 2 assessment 3 years later (n = 11,973; 46% female). Analyses examined the main and gender-specific effects of AUD and DUD diagnoses on smoking cessation and smoking relapse.

resultsWave 1 current daily smokers with a current AUD (OR = .70, 95% CI = .55, .89), past AUD (OR = .73, 95% CI = .60, .89), current DUD (OR = .48, 95% CI = .31, .76), and past DUD (OR = .62, 95% CI = .49, .79) were less likely to have quit smoking at Wave 2 than those with no AUD or DUD diagnosis. Wave 1 former daily smokers with a current AUD (OR = 2.26, 95% CI = 1.36, 3.73), current DUD (OR = 7.97, 95% CI = 2.51, 25.34), and past DUD (OR = 2.69, 95% CI = 1.84, 3.95) were more likely to have relapsed to smoking at Wave 2 than those with no AUD or DUD diagnosis. The gender by diagnosis interactions were not significant.

conclusionCurrent and past AUDs and DUDs were associated with a decreased likelihood of quitting smoking, while current AUDs, current DUDs, and past DUDs were associated with an increased likelihood of smoking relapse.

Indexed as

AdolescentAdultAlcohol-Related DisordersFemaleHumansLongitudinal StudiesMaleMiddle AgedRecurrenceSmokingSmoking CessationSubstance-Related DisordersUnited StatesYoung Adult

Identifiers

PMID23721534
PMCPMC3696891
OpenAlexW2000817992

What OpenQuestion holds

Textmetadata
LicenceTDM
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.