Evidence map›Paper›PMID 32768993›Full record

ArticleDrug and alcohol dependence2020

The relationship between insomnia and the intensity of drinking in treatment-seeking individuals with alcohol dependence.

Ninad S Chaudhary, Maria M Wong, Bhanu Prakash Kolla, Kyle M Kampman, Subhajit Chakravorty

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 22 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 4 institutions in 1 country.

Ninad S ChaudharyUniversity of Alabama at Birmingham School of Public Health, 1665 University Blvd, Birmingham, AL, 35211, USA. Electronic address: ninadsc@uab.edu.
Maria M WongIdaho State University, 921 S 8th Ave, Stop 8112, Pocatello, ID, 83209, USA.
Bhanu Prakash KollaDepartment of Psychiatry and Psychology, Mayo Clinic, 2nd ST SW, Rochester, MN, 55905, USA.
Kyle M KampmanDepartment of Psychiatry, Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA; Cpl. Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, 19104, USA.
Subhajit ChakravortyDepartment of Psychiatry, Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA; Cpl. Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, 19104, USA. Electronic address: Subhajit.Chakravorty@uphs.upenn.edu.
Philadelphia VA Medical Center · USIdaho State University · USMayo Clinic · USUniversity of Alabama at Birmingham · US

Funding

UPENN Scientific and Data Research Center for the HOPE Consortium to Reduce Pain and Opioid Use in Hemodialysis U01DK123813 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI DEMBER, LAURA M, FARRAR, JOHN T · 2019 to 2024
$6.6M
Combining Pregabalin with Lofexidine: Can it Increase the Success of Transition to Naltrexone?UG3DA049694 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KAMPMAN, KYLE MATTHEW, WOODY, GEORGE EDWARD · 2019 to 2019
$4.1M
Remote observed dosing to improve Suboxone compliance in clinical practiceU34DA045177 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI KAMPMAN, KYLE MATTHEW · 2018 to 2020
$725k
CSRD VA I01 CX001957CSRD VA IK2 CX000855NIDA NIH HHS U34 DA045177NIDA NIH HHS UG3 DA049694NIDDK NIH HHS U01 DK123813
6 · The paper itself

Abstract

backgroundAlthough insomnia is highly prevalent in alcohol use disorders(AUD), its associations with the severity of alcohol use, pre-existing psychiatric comorbidities and psychosocial problems are understudied. The present study evaluates the interplay between these factors using a structural equation model (SEM).

methodsWe assessed baseline cross-sectional data on patients with AUD (N = 123) recruited to a placebo-controlled medication trial. Severity of alcohol use was measured by the Brief Michigan Alcoholism Screening Test (B-MAST). Insomnia Severity Index was used to assess insomnia symptoms. The Hamilton scales for Depression and Anxiety, Short Index of Problems and Timeline Follow Back evaluated psychiatric symptoms, psychosocial consequences of drinking and level of alcohol consumption respectively. We used logistic regression to evaluate the association between insomnia and severity of alcohol use while controlling for covariates. We constructed a SEM with observed variables to delineate the effect of psychiatric symptoms, psychosocial factors and current alcohol use on the pathway between alcohol use severity and insomnia.

resultsThe sample was predominately male(83.9 %), Black(54.6 %) and employed(60.0 %). About 45 % of the participants reported moderate-severe insomnia.The association between insomnia and B-MAST attenuated after adjustment for demographics, psychiatric symptoms and psychosocial problems(OR[95 % CI] = 1.17(0.99-1.47). SEM findings demonstrated that B-MAST and insomnia were linked to psychiatric symptoms (95 % Asymptotic-Confidence Interval (ACI): 0.015-0.159, p < 0.05) but not to psychosocial problems or current alcohol use.

conclusionAmong treatment-seeking patients with AUD, psychiatric burden mediated the relationship between severity of alcohol use and insomnia. Clinicians should screen for underlying psychiatric disorders among treatment-seeking patients with AUD complaining of insomnia.

Indexed as

AdultAlcohol DrinkingAlcoholismAnxietyComorbidityCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedPrevalenceSleep Initiation and Maintenance DisordersAlcoholismInsomniaPsychiatric symptomsPsychosocial factorsSleep initiation and maintenance disordersStructural equation modelling

Identifiers

PMID32768993
PMCPMC10082590
OpenAlexW3044940604

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.