Evidence map›Paper›PMID 26216146›Full record

ArticleArchives of sexual behavior2015

Substance use homophily among geosocial networking application using gay, bisexual, and other men who have sex with men.

Ian W Holloway

Abstract read
In one paragraph

Article in Archives of sexual behavior, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  11. Cigarette Smoking and Dating App Use: Findings from a Survey in a Sample of Adults in Italy.European journal of investigation in health, psychology and education · 2021
    Article
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  17. Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued.International journal of environmental research and public health · 2019
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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

1 author at 1 institution in 1 country.

Ian W HollowayDepartment of Social Welfare, Luskin School of Public Affairs, University of California, Los Angeles, 3250 Public Affairs Building, Box 951656, Los Angeles, CA, 90095-1656, USA, holloway@luskin.ucla.edu.
University of California, Los Angeles · 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 TR000124NCATS NIH HHS UL1TR000124.NIAID NIH HHS 5P30AI028697NIAID NIH HHS P30 AI028697NIMH NIH HHS MH58107NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

Geosocial networking applications (GSN apps) represent important virtual contexts in which gay, bisexual, and other men who have sex with men (MSM) seek affiliation. These apps allow users to create and view public profiles, send photos, and text messages, and connect with other users based on shared interests and geographic proximity. The present study examined substance use homophily among a sample of 295 MSM recruited via a popular GSN app. Comparisons of social network members met via GSN app versus elsewhere and associations between both individual and network characteristics and recent binge drinking, marijuana use, and illicit substance use were explored using bivariate tests of association and multivariate logistic regression analyses. High rates of recent binge drinking (59 %), marijuana use (37 %), and illicit substance use (27 %) were observed among participants. GSN app use greater than 1 year and showing naked chest or abs in a profile picture were positively associated with recent illicit substance use. In multivariate analyses, the strongest predictors of binge drinking (AOR 3.81; 95 % CI 1.86-7.80), marijuana use (AOR 4.12; 95 % CI 2.22-7.64), and illicit substance use (AOR 6.45; 95 % CI 3.26-12.79) were the presence of a social network member who also engaged in these behaviors. Social network interventions that target binge drinking, marijuana use, and illicit substance use may be delivered via GSN apps to reduce the prevalence of substance use and related risks among MSM in these virtual contexts.

Indexed as

AdultBisexualityCommunity NetworksHomosexuality, MaleHumansMalePrevalenceRisk-TakingSexual BehaviorSubstance-Related Disorders

Identifiers

PMID26216146
PMCPMC4574511
OpenAlexW948141282

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.