Evidence map›Paper›PMID 23726826›Full record

Observational studyJournal of substance abuse treatment2013

Gender differences in substance use treatment utilization in the year prior to deployment in Army service members.

Nikki R Wooten, Beth A Mohr, Lena M Lundgren, Rachel Sayko Adams, Elizabeth L Merrick, Thomas V Williams, Mary Jo Larson

Abstract readObservational Study
In one paragraph

Observational study in Journal of substance abuse treatment, 2013. 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
2.1field-weighted citation impact, top 13% 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, 17 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

7 authors at 3 institutions in 1 country.

Nikki R WootenUniversity of South Carolina, College of Social Work, Columbia, SC 29208, USA. nwooten@sc.edu
Beth A Mohr
Lena M Lundgren
Rachel Sayko Adams
Elizabeth L Merrick
Thomas V Williams
Mary Jo Larson
Brandeis University · USBoston University · USUniversity of South Carolina · US

Funding

First Longitudinal Study of Missed Treatment Opportunities Using DOD and VA DataR01DA030150 · NIDA · BRANDEIS UNIVERSITY · PI LARSON, MARY JO · 2010 to 2013
$1.9M
NIDA NIH HHS R01 DA030150NIDA NIH HHS R01DA030150NIDA NIH HHS R01DA030150-S1
6 · The paper itself

Abstract

Although military men have heavier drinking patterns, military women experience equal or higher rates of dependence symptoms and similar rates of alcohol-related problems as men at lower levels of consumption. Thus, gender may be important for understanding substance use treatment (SUT) utilization before deployment. Military health system data were analyzed to examine gender differences in both substance use diagnosis (SUDX) and SUT in 152,447 Army service members returning from deployments in FY2010. Propensity score analysis of probability of SUDX indicated that women had lower odds (AOR: 0.91, 95% CI: 0.86-0.96) of military lifetime SUDX. After adjusting for lifetime SUDX using propensity score analysis, multivariate regression found women had substantially lower odds (AOR: 0.61; 95% CI: 0.54-0.70) of using SUT the year prior to deployment. Findings suggest gender disparities in military-provided SUT and a need to consider whether military substance use assessment protocols are sensitive to gender differences.

Indexed as

Alcohol-Related DisordersFemaleHumansMaleMilitary PersonnelMultivariate AnalysisPropensity ScoreRegression AnalysisSex FactorsSubstance-Related DisordersArmyCombat veteransGelberg-Andersen behavioral model for vulnerable populationsGender disparitiesMilitary deploymentPropensity score modelSubstance use diagnosisSubstance use treatment utilization

Identifiers

PMID23726826
PMCPMC3755744
OpenAlexW2100828243

What OpenQuestion holds

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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.