Evidence map›Paper›PMID 29039285›Full record

ArticlePsychological medicine2018

Prospective risk factors for post-deployment heavy drinking and alcohol or substance use disorder among US Army soldiers.

Laura Campbell-Sills, Robert J Ursano, Ronald C Kessler, Xiaoying Sun, Steven G Heeringa, Matthew K Nock, Nancy A Sampson, Sonia Jain, Murray B Stein

Open access · greenAbstract read
In one paragraph

Article in Psychological medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Military service and alcohol use: a systematic narrative review.Occupational medicine (Oxford, England) · 2022
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  19. Behavioral health and treatment-seeking behaviors among deployed vs. non-deployed service members: How impactful is deployment on well-being?Military psychology : the official journal of the Division of Military Psychology, American Psychological Association
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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

9 authors at 4 institutions in 1 country.

Laura Campbell-SillsDepartment of Psychiatry,University of California San Diego,La Jolla, CA,USA.
Robert J UrsanoCenter for the Study of Traumatic Stress,Department of Psychiatry,Uniformed Services University of the Health Sciences,Bethesda, MD,USA.
Ronald C KesslerDepartment of Health Care Policy,Harvard Medical School,Boston, MA,USA.
Xiaoying SunDepartment of Family Medicine and Public Health,University of California San Diego,La Jolla, CA,USA.
Steven G HeeringaUniversity of Michigan,Institute for Social Research,Ann Arbor, MI,USA.
Matthew K NockDepartment of Psychology,Harvard University,Cambridge, MA,USA.
Nancy A SampsonDepartment of Health Care Policy,Harvard Medical School,Boston, MA,USA.
Sonia JainDepartment of Family Medicine and Public Health,University of California San Diego,La Jolla, CA,USA.
Murray B SteinDepartment of Psychiatry,University of California San Diego,La Jolla, CA,USA.
University of California, San Diego · USHarvard University · USUniformed Services University of the Health Sciences · USUniversity of Michigan–Ann Arbor · US

Funding

Modifiable Risk and Protective Factors for Suicidal Behaviors in the US ArmyU01MH087981 · NIMH · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI STEIN, MURRAY B., URSANO, ROBERT J. · 2009 to 2013
$65.0M
NIMH NIH HHS U01 MH087981
6 · The paper itself

Abstract

backgroundInvestigations of drinking behavior across military deployment cycles are scarce, and few prospective studies have examined risk factors for post-deployment alcohol misuse.

methodsPrevalence of alcohol misuse was estimated among 4645 US Army soldiers who participated in a longitudinal survey. Assessment occurred 1-2 months before soldiers deployed to Afghanistan in 2012 (T0), upon their return to the USA (T1), 3 months later (T2), and 9 months later (T3). Weights-adjusted logistic regression was used to evaluate associations of hypothesized risk factors with post-deployment incidence and persistence of heavy drinking (HD) (consuming 5 + alcoholic drinks at least 1-2×/week) and alcohol or substance use disorder (AUD/SUD).

resultsPrevalence of past-month HD at T0, T2, and T3 was 23.3% (s.e. = 0.7%), 26.1% (s.e. = 0.8%), and 22.3% (s.e. = 0.7%); corresponding estimates for any binge drinking (BD) were 52.5% (s.e. = 1.0%), 52.5% (s.e. = 1.0%), and 41.3% (s.e. = 0.9%). Greater personal life stress during deployment (e.g., relationship, family, or financial problems) - but not combat stress - was associated with new onset of HD at T2 [per standard score increase: adjusted odds ratio (AOR) = 1.20, 95% CI 1.06-1.35, p = 0.003]; incidence of AUD/SUD at T2 (AOR = 1.54, 95% CI 1.25-1.89, p < 0.0005); and persistence of AUD/SUD at T2 and T3 (AOR = 1.30, 95% CI 1.08-1.56, p = 0.005). Any BD pre-deployment was associated with post-deployment onset of HD (AOR = 3.21, 95% CI 2.57-4.02, p < 0.0005) and AUD/SUD (AOR = 1.85, 95% CI 1.27-2.70, p = 0.001).

conclusionsAlcohol misuse is common during the months preceding and following deployment. Timely intervention aimed at alleviating/managing personal stressors or curbing risky drinking might reduce risk of alcohol-related problems post-deployment.

Indexed as

AdultAlcohol DrinkingAlcoholismBinge DrinkingFemaleHumansLongitudinal StudiesMaleMilitary PersonnelRisk FactorsStress, PsychologicalSubstance-Related DisordersUnited StatesAlcohol-related disordersbinge drinkinglife stressmilitary personnelrisk factors

Identifiers

PMID29039285
PMCPMC6620021
OpenAlexW2766164964

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.