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Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study

BACKGROUND: While services tailored for gay, bisexual, and other men who have sex with men (gbMSM) may provide support for this vulnerable population, planning access to these services can be difficult due to the unknown spatial distribution of gbMSM outside of gay-centered neighborhoods. This is pa...

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Autores principales: Card, Kiffer George, Gibbs, Jeremy, Lachowsky, Nathan John, Hawkins, Blake W, Compton, Miranda, Edward, Joshua, Salway, Travis, Gislason, Maya K, Hogg, Robert S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105865/
https://www.ncbi.nlm.nih.gov/pubmed/30089609
http://dx.doi.org/10.2196/publichealth.8931
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author Card, Kiffer George
Gibbs, Jeremy
Lachowsky, Nathan John
Hawkins, Blake W
Compton, Miranda
Edward, Joshua
Salway, Travis
Gislason, Maya K
Hogg, Robert S
author_facet Card, Kiffer George
Gibbs, Jeremy
Lachowsky, Nathan John
Hawkins, Blake W
Compton, Miranda
Edward, Joshua
Salway, Travis
Gislason, Maya K
Hogg, Robert S
author_sort Card, Kiffer George
collection PubMed
description BACKGROUND: While services tailored for gay, bisexual, and other men who have sex with men (gbMSM) may provide support for this vulnerable population, planning access to these services can be difficult due to the unknown spatial distribution of gbMSM outside of gay-centered neighborhoods. This is particularly true since the emergence of geosocial networking apps, which have become a widely used venue for meeting sexual partners. OBJECTIVE: The goal of our research was to estimate the spatial density of app users across Metro Vancouver and identify the independent and adjusted neighborhood-level factors that predict app user density. METHODS: This pilot study used a popular geosocial networking app to estimate the spatial density of app users across rural and urban Metro Vancouver. Multiple Poisson regression models were then constructed to model the relationship between app user density and areal population-weighted neighbourhood-level factors from the 2016 Canadian Census and National Household Survey. RESULTS: A total of 2021 app user profiles were counted within 1 mile of 263 sampling locations. In a multivariate model controlling for time of day, app user density was associated with several dissemination area–level characteristics, including population density (per 100; incidence rate ratio [IRR] 1.03, 95% CI 1.02-1.04), average household size (IRR 0.26, 95% CI 0.11-0.62), average age of males (IRR 0.93, 95% CI 0.88-0.98), median income of males (IRR 0.96, 95% CI 0.92-0.99), proportion of males who were not married (IRR 1.08, 95% CI 1.02-1.13), proportion of males with a postsecondary education (IRR 1.06, 95% CI 1.03-1.10), proportion of males who are immigrants (IRR 1.04, 95% CI 1.004-1.07), and proportion of males living below the low-income cutoff level (IRR 0.93, 95% CI 0.89-0.98). CONCLUSIONS: This pilot study demonstrates how the combination of geosocial networking apps and administrative datasets might help care providers, planners, and community leaders target online and offline interventions for gbMSM who use apps.
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spelling pubmed-61058652018-08-30 Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study Card, Kiffer George Gibbs, Jeremy Lachowsky, Nathan John Hawkins, Blake W Compton, Miranda Edward, Joshua Salway, Travis Gislason, Maya K Hogg, Robert S JMIR Public Health Surveill Original Paper BACKGROUND: While services tailored for gay, bisexual, and other men who have sex with men (gbMSM) may provide support for this vulnerable population, planning access to these services can be difficult due to the unknown spatial distribution of gbMSM outside of gay-centered neighborhoods. This is particularly true since the emergence of geosocial networking apps, which have become a widely used venue for meeting sexual partners. OBJECTIVE: The goal of our research was to estimate the spatial density of app users across Metro Vancouver and identify the independent and adjusted neighborhood-level factors that predict app user density. METHODS: This pilot study used a popular geosocial networking app to estimate the spatial density of app users across rural and urban Metro Vancouver. Multiple Poisson regression models were then constructed to model the relationship between app user density and areal population-weighted neighbourhood-level factors from the 2016 Canadian Census and National Household Survey. RESULTS: A total of 2021 app user profiles were counted within 1 mile of 263 sampling locations. In a multivariate model controlling for time of day, app user density was associated with several dissemination area–level characteristics, including population density (per 100; incidence rate ratio [IRR] 1.03, 95% CI 1.02-1.04), average household size (IRR 0.26, 95% CI 0.11-0.62), average age of males (IRR 0.93, 95% CI 0.88-0.98), median income of males (IRR 0.96, 95% CI 0.92-0.99), proportion of males who were not married (IRR 1.08, 95% CI 1.02-1.13), proportion of males with a postsecondary education (IRR 1.06, 95% CI 1.03-1.10), proportion of males who are immigrants (IRR 1.04, 95% CI 1.004-1.07), and proportion of males living below the low-income cutoff level (IRR 0.93, 95% CI 0.89-0.98). CONCLUSIONS: This pilot study demonstrates how the combination of geosocial networking apps and administrative datasets might help care providers, planners, and community leaders target online and offline interventions for gbMSM who use apps. JMIR Publications 2018-08-08 /pmc/articles/PMC6105865/ /pubmed/30089609 http://dx.doi.org/10.2196/publichealth.8931 Text en ©Kiffer George Card, Jeremy Gibbs, Nathan John Lachowsky, Blake W Hawkins, Miranda Compton, Joshua Edward, Travis Salway, Maya K Gislason, Robert S Hogg. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 08.08.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Card, Kiffer George
Gibbs, Jeremy
Lachowsky, Nathan John
Hawkins, Blake W
Compton, Miranda
Edward, Joshua
Salway, Travis
Gislason, Maya K
Hogg, Robert S
Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study
title Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study
title_full Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study
title_fullStr Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study
title_full_unstemmed Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study
title_short Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study
title_sort using geosocial networking apps to understand the spatial distribution of gay and bisexual men: pilot study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105865/
https://www.ncbi.nlm.nih.gov/pubmed/30089609
http://dx.doi.org/10.2196/publichealth.8931
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