Evidence map›Paper›PMID 31516124›Full record

Observational studyJournal of medical Internet research2019

Interaction Patterns of Men Who Have Sex With Men on a Geosocial Networking Mobile App in Seven United States Metropolitan Areas: Observational Study.

Nadia N Abuelezam, Yakir A Reshef, David Novak, Yonatan Hagai Grad, George R Seage Iii, Kenneth Mayer, Marc Lipsitch

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
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

7 authors.

Nadia N AbuelezamWilliam F Connell School of Nursing, Boston College, Chestnut Hill, MA, United States.ORCID 0000-0002-5459-8592
Yakir A ReshefDepartment of Computer Science, Harvard University, Cambridge, MA, United States.ORCID 0000-0001-6463-4203
David NovakDSN Consulting, LLC, Boston, MA, United States.ORCID 0000-0002-1675-4988
Yonatan Hagai GradDepartment of Immunology and Infectious Disease, Harvard TH Chan School of Public Health, Boston, MA, United States.ORCID 0000-0001-5646-1314
George R Seage IiiDepartment of Epidemiology, Harvard TH School of Public Health, Boston, MA, United States.ORCID 0000-0001-5657-2970
Kenneth MayerThe Fenway Institute, Boston, MA, United States.ORCID 0000-0001-7460-733X
Marc LipsitchDepartment of Epidemiology, Harvard TH School of Public Health, Boston, MA, United States.ORCID 0000-0003-1504-9213

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
6 · The paper itself

Abstract

backgroundThe structure of the sexual networks and partnership characteristics of young black men who have sex with men (MSM) may be contributing to their high risk of contracting HIV in the United States. Assortative mixing, which refers to the tendency of individuals to have partners from one's own group, has been proposed as a potential explanation for disparities.

objectiveThe objective of this study was to identify the age- and race-related search patterns of users of a diverse geosocial networking mobile app in seven metropolitan areas in the United States to understand the disparities in sexually transmitted infection and HIV risk in MSM communities.

methodsData were collected on user behavior between November 2015 and May 2016. Data pertaining to behavior on the app were collected for men who had searched for partners with at least one search parameter narrowed from defaults or used the app to send at least one private chat message and used the app at least once during the study period. Newman assortativity coefficient (R) was calculated from the study data to understand assortativity patterns of men by race. Pearson correlation coefficient was used to assess assortativity patterns by age. Heat maps were used to visualize the relationship between searcher's and candidate's characteristics by age band, race, or age band and race.

resultsFrom November 2015 through May 2016, there were 2,989,737 searches in all seven metropolitan areas among 122,417 searchers. Assortativity by age was important for looking at the profiles of candidates with correlation coefficients ranging from 0.284 (Birmingham) to 0.523 (San Francisco). Men tended to look at the profiles of candidates that matched their race in a highly assortative manner with R ranging from 0.310 (Birmingham) to 0.566 (Los Angeles). For the initiation of chats, race appeared to be slightly assortative for some groups with R ranging from 0.023 (Birmingham) to 0.305 (Los Angeles). Asian searchers were most assortative in initiating chats with Asian candidates in Boston, Los Angeles, New York, and San Francisco. In Birmingham and Tampa, searchers from all races tended to initiate chats with black candidates.

conclusionsOur results indicate that the age preferences of MSM are relatively consistent across cities, that is, younger MSM are more likely to be chatted with and have their profiles viewed compared with older MSM, but the patterns of racial mixing are more variable. Although some generalizations can be made regarding Web-based behaviors across all cities, city-specific usage patterns and trends should be analyzed to create targeted and localized interventions that may make the most difference in the lives of MSM in these areas.

Indexed as

Mobile ApplicationsSexual BehaviorSexual PartnersSocial NetworkingAdolescentAdultBlack or African AmericanCitiesHealth PromotionHIV InfectionsHomosexuality, MaleHumansMaleSexual and Gender MinoritiesSexually Transmitted DiseasesUnited Statesmen who have sex with menpopulation dynamicsrace factorssexual behavior

Identifiers

PMID31516124
PMCPMC6746104

What OpenQuestion holds

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LicenceCC BY
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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.