Evidence map›Paper›PMID 34609630›Full record

ArticleAIDS and behavior2022

A Latent Profile Analysis of Online Dating Patterns Among Single Young Men Who Have Sex with Men.

Seul Ki Choi, José Bauermeister

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AIDS and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

2 authors.

Seul Ki ChoiDepartment of Family and Community Health, School of Nursing, University of Pennsylvania, 418 Curie Blvd, 2L, Philadelphia, PA, 19104, USA. skchoi@nursing.upenn.edu.ORCID http://orcid.org/0000-0003-0405-7787
José BauermeisterDepartment of Family and Community Health, School of Nursing, University of Pennsylvania, 418 Curie Blvd, 2L, Philadelphia, PA, 19104, USA.

Funding

Development of a Tailored HIV Prevention Intervention for Young MenR34MH101997 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BAUERMEISTER, JOSE ARTURO · 2015 to 2017
$645k
NIMH NIH HHS R34 MH101997
6 · The paper itself

Abstract

Despite the increased use of geosocial networking applications for finding sexual partners among young men who have sex with men (YMSM), few studies have examined the intricate patterns of online dating behaviors. In order to advance understanding of online dating patterns among YMSM, various factors, including how frequently and how much time is spent within partner-seeking sites, need to be examined concurrently. Therefore, we used latent profile analysis to identify online dating patterns and logistic regressions to examine their associations with sexual behaviors and relationship characteristics among single YMSM (N = 180; ages 18-24). We found three online dating patterns: discouraged users (N = 93, 52%), date seekers (N = 67, 37%), and instant lovers (N = 20, 11%). Discouraged users were less likely to seek sexual sensational activities, while date seekers were more likely to seek sexual sensational activities. Moreover, instant lovers were less likely to pursue committed romantic relationships, while they reported a higher number of condomless anal intercourse. Given that online dating patterns are not homogeneous, HIV prevention interventions may benefit from tailored approaches based on YMSM's different online dating profiles.

Indexed as

HIV InfectionsSexual and Gender MinoritiesAdolescentAdultCross-Sectional StudiesHomosexuality, MaleHumansMaleRisk-TakingSexual BehaviorSexual PartnersUnsafe SexYoung AdultDatingHooking-upRelationship characteristicsSexual behaviorsSexual minorityYouth

Identifiers

PMID34609630
PMCPMC8940610

What OpenQuestion holds

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Registered trials

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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.