Evidence map›Paper›PMID 31294075›Full record

ArticleAddictive behaviors reports2019

An inverse relationship between perceived social support and substance use frequency in socially stigmatized populations.

Rachel Rapier, Scott McKernan, Christopher S Stauffer

Abstract read
In one paragraph

Article in Addictive behaviors reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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

3 authors.

Rachel RapierSan Francisco VA Medical Center, 4150 Clement St. (116C-1), San Francisco, CA 94121, USA.
Scott McKernanThe New School, 72 5th Ave, New York City, NY 10011, USA.
Christopher S StaufferSan Francisco VA Medical Center, 4150 Clement St. (116C-1), San Francisco, CA 94121, USA.

Funding

6-week trial of oxytocin for co-occurring cocaine and opioid use disordersIK2CX001495 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI STAUFFER, CHRISTOPHER · 2017 to 2022
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CSRD VA IK2 CX001495
6 · The paper itself

Abstract

introductionSocial isolation and alcohol and substance use disorders (ASUD) have been identified as global health risks. Social support is protective against developing ASUD and is associated with beneficial addiction treatment outcomes. Socially stigmatized populations are at higher risk of both social isolation and ASUD, and the link between social support and substance use in these populations has been less researched than in general substance-using populations. We hypothesized that perceived social support, as measured by the Social Provisions Scale (SPS), would have an inverse relationship with frequency of substance use, from subsections of the Addiction Severity Index (ASI) that estimate use over the past 30 days and over an individual's lifetime.

methodsUsing a cross-sectional design, we conducted secondary correlational analyses with pre-existing data to test our hypothesis in two separate samples made up of socially marginalized populations entering ASUD treatment programs. Sample 1: substance-using male prison inmates (

resultsSignificant negative correlations were found between SPS and lifetime use of alcohol, tobacco, and cannabis ( DISCUSSION: Differences in results between the samples (lifetime vs 30-day use) may reflect psychosocial and contextual differences impacting perceived social support. Our findings provide support for an important link between perceived social support and frequency of substance use in socially stigmatized populations.

Indexed as

Addictive behaviorPrisonersSexual and gender minoritiesSocial psychologySocial supportSubstance-related disorders

Identifiers

PMID31294075
PMCPMC6595132

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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.