Evidence map›Paper›PMID 15608606›Full record

ArticleAlcoholism, clinical and experimental research2004

Drinking and spouse abuse among U.S. Army soldiers.

Nicole S Bell, Thomas Harford, James E McCarroll, Laura Senier

Abstract readComparative Study
In one paragraph

Article in Alcoholism, clinical and experimental research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
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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

4 authors.

Nicole S BellSocial Sectors Development Strategies, Inc., Natick, Massachusetts, USA. nbell@ssds.net
Thomas Harford
James E McCarroll
Laura Senier

Funding

Alcohol and intentional injury in the U.S ArmyR01AA013324 · NIAAA · SOCIAL SECTORS DEVELOP STRATEGIES · PI BELL, NICOLE SUZANNE · 2001 to 2004
$1.5M
ALCOHOL USE AND INJURY OUTCOMES IN THE US ARMYR01AA011407 · NIAAA · SOCIAL SECTORS DEVELOP STRATEGIES · PI BELL, NICOLE S · 2001 to 2002
$231k
NIAAA NIH HHS R01 AA013324NIAAA NIH HHS R01 AA11407NIAAA NIH HHS R01 AA13324
6 · The paper itself

Abstract

backgroundThis study examines the relationship between typical weekly drinking and perpetration of spouse abuse as well as the relationship between the perpetrator's typical weekly drinking and alcohol use during the abuse event among U.S. Army male soldiers.

methodsCases include all active duty, male, enlisted Army spouse abusers identified in the Army's Central Registry who had also completed an Army Health Risk Appraisal Survey (HRA) between 1991 and 1998 (N = 9534). Cases were matched on sex, rank, and marital status with 21,786 control subjects who had also completed an HRA.

resultsIn multivariate logistic regression models, heavy drinkers (22 or more drinks per week) were 66% more likely to be spouse abusers than were abstainers (odds ratio 1.66; 95% confidence interval 1.40-1.96). In addition, self-reported moderate and heavy drinkers were three times as likely and light drinkers (1-7 drinks per week) were twice as likely as nondrinkers to be drinking during the time of the abuse event.

conclusionSelf-reported heavy drinking is an independent risk factor for perpetration of spouse abuse among male, enlisted Army soldiers. Even 5 years or more after ascertainment of typical drinking habits, there is a significant association between self-reported heavy drinking and alcohol involvement at the time of the spouse abuse event. Personnel who work with perpetrators and victims of spouse abuse should be trained carefully to query about current and typical drinking patterns.

Indexed as

Alcohol DrinkingConfidence IntervalsHealth SurveysHumansLogistic ModelsMaleMilitary PersonnelMultivariate AnalysisOdds RatioSpouse AbuseUnited States

Identifiers

PMID15608606
PMCPMC1351131

What OpenQuestion holds

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Registered trials

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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.