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


Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
12 09 2019
Historique:
received: 22 02 2019
accepted: 19 07 2019
revised: 08 07 2019
entrez: 14 9 2019
pubmed: 14 9 2019
medline: 17 6 2020
Statut: epublish

Résumé

The 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. The 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. Data 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. From 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. Our 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.

Sections du résumé

BACKGROUND
The 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.
OBJECTIVE
The 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.
METHODS
Data 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.
RESULTS
From 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.
CONCLUSIONS
Our 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.

Identifiants

pubmed: 31516124
pii: v21i9e13766
doi: 10.2196/13766
pmc: PMC6746104
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13766

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM007753
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM088558
Pays : United States

Informations de copyright

©Nadia N Abuelezam, Yakir A Reshef, David Novak, Yonatan Hagai Grad, George R Seage III, Kenneth Mayer, Marc Lipsitch. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.09.2019.

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Auteurs

Nadia N Abuelezam (NN)

William F Connell School of Nursing, Boston College, Chestnut Hill, MA, United States.

Yakir A Reshef (YA)

Department of Computer Science, Harvard University, Cambridge, MA, United States.

David Novak (D)

DSN Consulting, LLC, Boston, MA, United States.

Yonatan Hagai Grad (YH)

Department of Immunology and Infectious Disease, Harvard TH Chan School of Public Health, Boston, MA, United States.
Division of Infectious Disease, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.

George R Seage Iii (GR)

Department of Epidemiology, Harvard TH School of Public Health, Boston, MA, United States.

Kenneth Mayer (K)

The Fenway Institute, Boston, MA, United States.

Marc Lipsitch (M)

Department of Epidemiology, Harvard TH School of Public Health, Boston, MA, United States.
Center for Communicable Disease Dynamics, Boston, MA, United States.

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Classifications MeSH