Evidence map›Paper›PMID 31957038›Full record

ArticleAlcoholism, clinical and experimental research2020

The Association Between Alcohol Consumption and Pain Interference in a Nationally Representative Sample: The Moderating Roles of Gender and Alcohol Use Disorder Symptomatology.

Ellen W Yeung, Matthew R Lee, Yoanna McDowell, Kenneth J Sher, Ian R Gizer

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 13 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

5 authors at 3 institutions in 1 country.

Ellen W YeungDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri.ORCID 0000-0002-3748-7962
Matthew R LeeDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri.ORCID 0000-0002-0308-7274
Yoanna McDowellDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri.ORCID 0000-0003-3766-9165
Kenneth J SherDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri.ORCID 0000-0002-4420-8546
Ian R GizerDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri.
University of Missouri · USGeorge Washington University · USRutgers, The State University of New Jersey · US

Funding

Psychology of Alcohol Use and Dependence TrainingT32AA013526 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI DENIS M MCCARTHY, KENNETH JAMES SHER · 2002 to 2026
$9.0M
Alcohol and Adult Development: Understanding Etiology and ConsequencesK05AA017242 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI SHER, KENNETH JAMES · 2007 to 2016
$2.1M
Health-Related Desistance from Problem Drinking in Midlife Older AdulthoodR00AA024236 · NIAAA · RUTGERS, THE STATE UNIV OF N.J. · PI LEE, MATTHEW R · 2018 to 2020
$746k
Desistance from Pathological Drinking Across the Lifespan: A Developmental AnalysisK99AA024236 · NIAAA · UNIVERSITY OF MISSOURI-COLUMBIA · PI LEE, MATTHEW R · 2016 to 2017
$208k
NIAAA NIH HHS K05 AA017242NIAAA NIH HHS K99 AA024236NIAAA NIH HHS R00 AA024236NIAAA NIH HHS T32 AA013526
6 · The paper itself

Abstract

backgroundPrior research on alcohol consumption and pain has yielded inconsistent results regarding the directionality of effects for both consumption-to-pain and pain-to-consumption relations. The present study sought to examine directionality of these relations by testing bidirectional longitudinal associations between consumption and pain interference, a crucial aspect of pain that captures pain-related disability and has been regarded as a valuable measure of treatment outcome. In addition, this study explored possible moderation of these bidirectional longitudinal associations by gender and alcohol use disorder (AUD) symptomatology.

methodsAnalyses included 29,989 current/former drinkers who were interviewed at both waves (2001 and 2004) of the U.S. National Epidemiological Survey on Alcohol and Related Conditions (NESARC). Analyses used self-report data from both waves on past-year average daily volume of alcohol consumed and past-month pain interference (1 item from the Medical Outcomes Study 12-item Short-Form Health Survey [MOS-SF-12]). AUDADIS-IV data from Wave 1 were used to index baseline AUD symptomatology (i.e., symptom count). Cross-lagged panel modeling and multigroup analyses were employed.

resultsRegarding the consumption-to-pain-interference relation, in general, higher baseline alcohol consumption was associated with lower subsequent pain interference at follow-up. However, among men with higher AUD-symptom counts, the opposite pattern emerged, with higher baseline alcohol consumption being significantly related to higher subsequent pain interference at follow-up. Regarding the pain-interference-to-consumption relation, higher baseline pain interference was significantly associated with lower subsequent alcohol consumption at follow-up, and no moderating effects were observed.

conclusionsThe distinctive patterns of the consumption-to-pain-interference relation observed among men with elevated AUD symptomatology suggest that this relation might be driven by different mechanisms across different groups of individuals. Specifically, the detrimental effect of alcohol on pain interference might emerge at relatively advanced stages of AUD among men, consistent with Koob's Dark Side of Alcohol Addiction theory in human research.

Indexed as

Sex FactorsAdultAlcohol DrinkingAlcoholismFemaleHumansMaleMiddle AgedPainAlcohol ConsumptionAlcohol Use DisorderAUD SymptomatologyGenderPain Interference

Identifiers

PMID31957038
PMCPMC7069800
OpenAlexW3002501765

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.