Evidence map›Paper›PMID 31141253›Full record

ArticleInternational journal of methods in psychiatric research2019

Current tobacco use, nicotine dependence, and transitions across stages of alcohol involvement: A latent transition analysis approach.

Lauren R Pacek, Beth A Reboussin, Kerry M Green, Lareina N LaFlair, Carla L Storr, Anika A H Alvanzo, Ramin Mojtabai, Bernadette Cullen, Andrea S Young, Kayla Tormohen and 2 more

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In one paragraph

Article in International journal of methods in psychiatric research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Lauren R PacekDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0002-1412-1765
Beth A ReboussinDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Kerry M GreenDepartment of Behavioral and Community Health, University of Maryland School of Public Health, College Park, MD, USA.
Lareina N LaFlairWashington State Department of Health, Olympia, WA, USA.
Carla L StorrFamily and Community Health, University of Maryland School of Nursing, Baltimore, MD, USA.
Anika A H AlvanzoDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ramin MojtabaiDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Bernadette CullenDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Andrea S YoungDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kayla TormohenDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kira RiehmDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Rosa M CrumDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Sci-Tech Core-Maryland Population Research CenterP2CHD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI MICHAEL S. RENDALL · 2018 to 2026
$3.9M
Comorbid Patterns with Alcohol Use DisordersR01AA016346 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI CRUM, ROSA M. · 2009 to 2019
$2.8M
Mobile health interventions for varenicline adherence among HIV-positive smokersK01DA043413 · NIDA · DUKE UNIVERSITY · PI PACEK, LAUREN RENEE · 2017 to 2021
$860k
Preventive Effects of Treatment for Childhood Mental Illness on Adolescent Substance UseK23DA044288 · NIDA · JOHNS HOPKINS UNIVERSITY · PI YOUNG, ANDREA S · 2018 to 2022
$784k
NIAAA NIH HHS R01 AA016346NICHD NIH HHS P2C HD041041NIDA NIH HHS K01 DA043413NIDA NIH HHS K23 DA044288NIDA NIH HHS K23DA044288NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

objectivesThis study aims to examine the (a) probability of transition between stages of alcohol involvement and (b) influence of tobacco use and nicotine dependence on transitions.

methodsData came from Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions. Latent transition analysis estimated the probability of transitioning between stages of alcohol involvement across waves and the impact of tobacco use and nicotine dependence at Wave 1 on transitions.

resultsMales reporting current tobacco use but no dependence at Wave 1 were more likely to progress from No Problems to Moderate Problems (adjusted odds ratio [aOR] = 1.79; 95% confidence interval [CI] [1.44, 2.22]) and from No Problems to Severe Problems (aOR = 2.44; 95% CI [1.25, 4.77]) than nontobacco users. Females reporting current tobacco use but no dependence were more likely to progress from No Problems to Moderate Problems (aOR = 2.00; 95% CI [1.37, 2.94]) and from No Problems to Severe Problems (aOR = 2.87; 95% CI [1.34, 6.13]). Females reporting current tobacco use and dependence were more likely than females not using tobacco to transition from Moderate to No Problems (aOR = 2.10; 95% CI [1.04, 4.22]).

conclusionsResults suggest that tobacco use is a preceding correlate of progression in alcohol involvement among males and females. Among females, tobacco use and nicotine dependence are also related to alcohol involvement recovery.

Indexed as

AdolescentAdultAlcohol-Related DisordersComorbidityFemaleFollow-Up StudiesHealth SurveysHumansMaleMiddle AgedTobacco UseTobacco Use DisorderUnited StatesYoung Adultalcohol use disorderlatent class analysislatent transition analysisNESARCtobacco use

Identifiers

PMID31141253
PMCPMC6791727

What OpenQuestion holds

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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.