Evidence map›Paper›PMID 28488886›Full record

ArticleAIDS care2017

Network support, technology use, depression, and ART adherence among HIV-positive MSM of color.

I W Holloway, D Tan, S L Dunlap, L Palmer, S Beougher, J A Cederbaum

Abstract read
In one paragraph

Article in AIDS care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  4. Impact of the COVID-19 Pandemic on Social Support Networks of Gay and Bisexual Men with HIV in New York City.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
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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 at 2 institutions in 1 country.

I W Hollowaya Department of Social Welfare, Luskin School of Public Affairs , University of California , Los Angeles , USA.
D Tana Department of Social Welfare, Luskin School of Public Affairs , University of California , Los Angeles , USA.
S L Dunlapa Department of Social Welfare, Luskin School of Public Affairs , University of California , Los Angeles , USA.
L Palmerb Department of Children, Youth and Families, Suzanne Dworak-Peck School of Social Work , University of Southern California , Los Angeles , USA.
S Beoughera Department of Social Welfare, Luskin School of Public Affairs , University of California , Los Angeles , USA.
J A Cederbaumb Department of Children, Youth and Families, Suzanne Dworak-Peck School of Social Work , University of Southern California , Los Angeles , USA.
University of California, Los Angeles · USUniversity of Southern California · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RAPHAEL J LANDOVITZ · 1997 to 2026
$53.5M
Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANTON, PETER A · 1991 to 2018
$39.9M
NCATS NIH HHS UL1 TR000124NIAID NIH HHS P30 AI028697NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

Depression is associated with poor antiretroviral therapy (ART) adherence among people living with HIV/AIDS. This relationship may be moderated by an individual's social network characteristics. Our study sought to examine social network correlates of treatment adherence among HIV-positive men recruited from social service agencies throughout Los Angeles County (N = 150) to inform technology-driven social support interventions for this population. We administered egocentric social network and computer-assisted survey interviews focused on demographic characteristics, health history, depressive symptoms, and ART adherence, where adherence was assessed by the number of reasons participants missed taking their medication, if ever. Significant univariate correlates of adherence were included in a multivariable regression analysis, where the moderating effect of having a network member who reminds participants to take their HIV medication on the relationship between depression and adherence was tested. Over 60% of participants reported clinically significant depressive symptoms; this was significantly associated with lower adherence among those without someone in their social network to remind them about taking their HIV medication, even after adjusting for covariates in an ordinary least squares regression (adjusted mean difference b = -1.61, SE = 0.42, p = 0.0003). Having a network member who reminds participants to take their ART medication significantly ameliorated the negative association between depression and treatment adherence, especially for those reporting greater depressive symptoms (p = 0.0394). Additionally, participants demonstrated high rates of technology use to communicate with social network members. In order to achieve the aims of the National HIV/AIDS Strategy, innovative interventions addressing mental health to improve ART adherence are needed. Network strategies that leverage technology may be helpful for improving ART adherence among HIV-positive men with comorbid depressive symptoms.

Indexed as

Medication AdherenceSocial SupportAdultAnti-HIV AgentsAnti-Retroviral AgentsDepressionDepressive DisorderHIV InfectionsHomosexuality, MaleHumansMaleMental HealthMiddle AgedRegression AnalysisSurveys and QuestionnairesAnti-HIV AgentsAnti-Retroviral AgentsART adherenceDepressionsocial networkstechnology

Identifiers

PMID28488886
PMCPMC6866653
OpenAlexW2613321279

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.