Evidence map›Paper›PMID 31494452›Full record

ArticleAddictive behaviors2019

Military veterans' overdose risk behavior: Demographic and biopsychosocial influences.

Alex S Bennett, J Alexander Watford, Luther Elliott, Brett Wolfson-Stofko, Honoria Guarino

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-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

9 citing papers in PubMed, 24 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 2 institutions in 1 country.

Alex S BennettNational Development & Research Institutes, 71 W. 23rd St, 4th Fl., New York, NY 10100, United States of America; Center for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, 665 Broadway, 11th Fl., New York, NY 10012, United States of America. Electronic address: bennett@ndri.org.
J Alexander WatfordNational Development & Research Institutes, 71 W. 23rd St, 4th Fl., New York, NY 10100, United States of America; Department of Applied Psychology, Steinhardt School of Culture, Education, and Human Development, New York University, 82 Washington Square E, New York, NY 10003, United States of America.
Luther ElliottNational Development & Research Institutes, 71 W. 23rd St, 4th Fl., New York, NY 10100, United States of America; Center for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, 665 Broadway, 11th Fl., New York, NY 10012, United States of America.
Brett Wolfson-StofkoNational Development & Research Institutes, 71 W. 23rd St, 4th Fl., New York, NY 10100, United States of America; Center for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, 665 Broadway, 11th Fl., New York, NY 10012, United States of America.
Honoria GuarinoNational Development & Research Institutes, 71 W. 23rd St, 4th Fl., New York, NY 10100, United States of America; Center for Drug Use and HIV/HCV Research, College of Global Public Health, New York University, 665 Broadway, 11th Fl., New York, NY 10012, United States of America.
National Development and Research Institutes · USNew York University · US

Funding

Opioid Misuse and Overdose Risk Patterns among Recent VeteransR01DA036754 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI BENNETT, ALEXANDER S · 2014 to 2017
$1.9M
NIDA NIH HHS R01 DA036754
6 · The paper itself

Abstract

backgroundU.S. military veterans face many biopsychosocial (BPS) challenges post-service that may elevate risk for opioid-related overdose including physical pain, mental health concerns and social stressors. Some veterans use opioids to manage pain and cope with social readjustment. This study assessed associations between BPS factors and recent engagement in overdose risk behavior in a community sample of post-9/11 veterans who used opioids in New York City.

methodsParticipants (n = 218) were recruited through convenience sampling and completed a baseline assessment including a validated Opioid Risk Behavior Scale (ORBS) that measured past-30-day engagement in 22 opioid-related overdose risk behaviors. Analyses examined associations between ORBS scores and hypothesized demographic, biological/physical, psychological and social predictors. Incident rate ratios estimated the expected relative difference in ORBS score associated with each predictor.

resultsParticipants reported an average of 4.72 overdose risk behaviors in the past 30 days. Significant independent predictors of higher ORBS score, after adjustment for demographics and current prescription medications, were past-30-day: depression symptoms; unsheltered or living in a homeless shelter (vs. private housing); history of mental health treatment; experiencing stressful life events; average pain severity; and pain interference.

conclusionVeterans face myriad BPS challenges and, while drug-related overdose risks are well understood, findings suggest that other factors-including mental health, pain and stressful life events-may also be associated with overdose risk among opioid-using veterans. The larger challenges veterans face should be considered in the context of BPS forms of pain management when tailoring and delivering overdose prevention interventions.

Indexed as

Drug OverdoseHealth Risk BehaviorsOpioid-Related DisordersAdultAfghan Campaign 2001-Analgesics, OpioidAnti-Anxiety AgentsAntidepressive AgentsBenzodiazepinesChronic PainDepressionDrug Administration RoutesDrug MonitoringFemaleHumansIll-Housed PersonsAnalgesics, OpioidAnti-Anxiety AgentsAntidepressive AgentsBenzodiazepinesBiopsychosocial frameworkOpioid misuseOpioidsOverdoseUS military veterans

Identifiers

PMID31494452
PMCPMC6791780
OpenAlexW2954634995

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.