Evidence map›Paper›PMID 31923777›Full record

ArticleDrug and alcohol dependence2020

Characterizing latent classes of social support among persons who inject drugs.

Paul L Sacamano, Shruti H Mehta, Carl Latkin, Oluwaseun Falade-Nwulia, Gregory D Kirk, Abby E Rudolph

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
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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

6 authors.

Paul L SacamanoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, United States. Electronic address: paulls@elrio.org.
Shruti H MehtaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Room E6546, Baltimore, MD 21205, United States.
Carl LatkinDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Hampton House 737, Baltimore, MD 21205, United States.
Oluwaseun Falade-NwuliaDivision of Infectious Diseases, Johns Hopkins Department of Medicine, 725 N. Wolfe Street, Suite 215, Baltimore, MD 21205, United States.
Gregory D KirkDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Room E6533, Baltimore, MD 21205, United States.
Abby E RudolphDepartment of Epidemiology and Biostatistics, Temple University College of Public Health, 1301 Cecil B Moore Avenue, Ritter Annex 905, Philadelphia, PA 19122, United States.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
The AIDS Linked to the Intravenous Experience (ALIVE) StudyU01DA036297 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Gregory D Kirk, Shruti H Mehta · 2014 to 2026
$28.9M
NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
INCIDENCE OF HIV INFECTIONS IN A COHORT OF IV DRUG USERSR01DA012568 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MEHTA, SHRUTI H · 1999 to 2017
$15.5M
Management/Hepatitis C/HIV-infected and Uninfected IDU'sR01DA016065 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SULKOWSKI, MARK SEBASTIAN · 2003 to 2018
$8.0M
Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
Patient Oriented Research in Hepatitis C-infected Injection Drug UsersK24DA034621 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SULKOWSKI, MARK SEBASTIAN · 2012 to 2022
$1.2M
HIV and Substance Abuse Epidemiology among IDUs: Structural and Network Risk FactK01DA033879 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RUDOLPH, ABBY ELISE · 2012 to 2016
$877k
Patient-Oriented Research and Mentorship in HIV and Non-Communicable DiseasesK24AI118591 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KIRK, GREGORY D · 2015 to 2019
$766k
NIAID NIH HHS K24 AI118591NIAID NIH HHS P30 AI094189NIAID NIH HHS T32 AI102623NIDA NIH HHS K01 DA033879NIDA NIH HHS K24 DA034621NIDA NIH HHS R01 DA012568NIDA NIH HHS R01 DA016065NIDA NIH HHS T32 DA007292NIDA NIH HHS U01 DA036297
6 · The paper itself

Abstract

backgroundSocial network members influence risk and health behaviors, yet little is known about the support that persons who inject drugs (PWID) receive from their closest ties.

methods970 participants from the AIDS Linked to the IntraVenous Experience (ALIVE) study completed a social network survey between April 2016 and June 2017 about their five closest ties. Our analysis: 1) identified latent classes of support received by participants; 2) determined whether class membership differed by current (≤12 months) vs. former (>12 months) injection drug use; 3) compared classes of support by individual and network characteristics.

results970 participants listed 3,388 network members. We identified three support classes: (1) Moderate (n = 249): probabilities of support <0.40; (2) High (n = 366): probabilities of support 0.58-0.82; (3) Very high (n = 355): probabilities of support 0.91-0.99. In adjusted analysis compared to moderate support, the odds of high and very high support increased as the mean age of network members increased (Adjusted Odds Ratio [AOR]:1.03; 95 % CI: 1.01, 1.05) and as the number of network members with whom they interacted daily increased (AOR-high: 1.33; 95 % CI:1.14, 1.56 and AOR-very high: 1.54; 95 % CI: 1.30, 1.83). While current injection drug use was associated with lower unadjusted odds of high and very high support, the associations were not statistically significant in adjusted analysis.

conclusionsSupport was higher among networks of older ties and more frequent interaction, but differences did not appear to be driven by injection drug use status. Findings point to the importance of the closest social ties.

Indexed as

Latent Class AnalysisSocial SupportAge FactorsFemaleHumansMaleMiddle AgedSocial NetworkingSubstance Abuse, IntravenousSurveys and QuestionnairesTime FactorsLatent class analysisPersons who inject drugsSocial networkSocial support

Identifiers

PMID31923777
PMCPMC7532840

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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.