Evidence map›Paper›PMID 29908411›Full record

ArticleDrug and alcohol dependence2018

Transitions through stages of alcohol involvement: The potential role of mood disorders.

Rosa M Crum, Kerry M Green, Elizabeth A Stuart, Lareina N La Flair, Marc Kealhofer, Andrea S Young, Noa Krawczyk, Kayla N Tormohlen, Carla L Storr, Anika A H Alvanzo and 4 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

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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

14 authors at 6 institutions in 1 country.

Rosa M CrumDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA. Electronic address: rcrum1@jhu.edu.
Kerry M GreenDepartment of Behavioral and Community Health,University of Maryland College Park School of Public Health, 4200 Valley Dr. #2242, College Park, MD 21742, USA.
Elizabeth A StuartDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA.
Lareina N La FlairDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA.
Marc KealhoferDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA.
Andrea S YoungDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA.
Noa KrawczykDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA.
Kayla N TormohlenDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA.
Carla L StorrDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA; Department of Family and Community Health, University of Maryland School of Nursing, 655 W. Lombard St., Baltimore, MD 21201, USA.
Anika A H AlvanzoDivision of General Internal Medicine, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA.
Ramin MojtabaiDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA.
Lauren R PacekDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC 27710, USA.
Bernadette A CullenDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD 21205, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, USA.
Beth A ReboussinDepartment of Biostatistical Sciences, Wake Forest School of Medicine, 475 Vine St, Winston-Salem, NC 27101, USA.
Johns Hopkins University · USJohns Hopkins Medicine · USDuke University · USUniversity of Maryland, Baltimore · USUniversity of Maryland, College Park · USWake Forest University · US

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Comorbid Patterns with Alcohol Use DisordersR01AA016346 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI CRUM, ROSA M. · 2009 to 2019
$2.8M
Treatment Patterns and Barriers in Comorbid Mental and Substance DisordersR01DA030460 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOJTABAI, RAMIN · 2010 to 2012
$723k
NIAAA NIH HHS R01 AA016346NIDA NIH HHS R01 DA030460NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

introductionAlthough prior clinical and population-based studies have demonstrated comorbidity between mood and alcohol use disorders (AUD), there is a paucity of research assessing whether mood disorders predict transition across stages of alcohol involvement.

methodHypothesizing that mood disorders predict transition across sex-specific alcohol involvement stages, we used prospective data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a nationally representative survey of US adults, which included male (n = 14,564) and female (n = 20,089) participants surveyed in 2001-2 and re-interviewed in 2004-5. Latent class (LCA) and latent transition analyses (LTA) were used to assess patterns of alcohol involvement in the US and the association of lifetime mood disorders at baseline with transition across stages of alcohol involvement during follow-up.

resultsA three-class model of AUD criteria was identified (No problems, Moderate problems and Severe problems) for both sexes. Positive cross-sectional associations between mood disorder and problem classes of alcohol involvement were found among both sexes, as were positive longitudinal associations. Propensity score adjustment mitigated the associations of baseline mood disorder with progressive transition for both sexes. However, among females, baseline mood disorder was consistently associated with reduction in remission from Severe to Moderate alcohol problems (aOR = 0.30, CI = 0.09-0.99, p = .048) over time. DISCUSSION: Our study provides evidence that mood disorders impact transition through stages of alcohol involvement and are most strongly associated with hindering remission among females. Findings advance our understanding of these comorbid relationships and have clinical implications for ongoing assessment of drinking patterns among individuals with mood disorders.

Indexed as

AdolescentAdultAlcohol-Related DisordersComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedMood DisordersProspective StudiesSurveys and QuestionnairesUnited StatesYoung AdultAbuseAlcoholDependenceDepressionLatent transition analysisMajor depressive disorder

Identifiers

PMID29908411
PMCPMC6557161
OpenAlexW2808626922

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.