Card Kiffer George, Gibbs Jeremy, Lachowsky Nathan John, Hawkins Blake W, Compton Miranda, Edward Joshua, Salway Travis, Gislason Maya K, Hogg Robert S
School of Public Health and Social Policy, Faculty of Human and Social Development, University of Victoria, Victoria, BC, Canada.
School of Social Work, University of Georgia, Athens, GA, United States.
JMIR Public Health Surveill. 2018 Aug 8;4(3):e61. doi: 10.2196/publichealth.8931.
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.
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.
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.
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).
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.
虽然为男同性恋者、双性恋者和其他与男性发生性关系的男性（男同性恋、双性恋和其他男性性行为者，gbMSM）量身定制的服务可能会为这一弱势群体提供支持，但由于以同性恋为中心的社区之外的男同性恋、双性恋和其他男性性行为者的空间分布情况不明，规划获得这些服务可能会很困难。自从地理社交网络应用程序出现以来尤其如此，这些应用程序已成为广泛用于结识性伴侣的场所。
我们研究的目标是估计大温哥华地区应用程序用户的空间密度，并确定预测应用程序用户密度的独立和调整后的社区层面因素。
这项试点研究使用一款流行的地理社交网络应用程序来估计大温哥华农村和城市地区应用程序用户的空间密度。然后构建多个泊松回归模型，以模拟应用程序用户密度与2016年加拿大人口普查和全国家庭调查中按地区人口加权的社区层面因素之间的关系。
在263个采样地点的1英里范围内共统计到2021个应用程序用户资料。在控制了一天中的时间的多变量模型中，应用程序用户密度与几个传播区域层面的特征相关，包括人口密度（每100人；发病率比[IRR]为1.03，95%置信区间为1.02-1.04）、平均家庭规模（IRR为0.26，95%置信区间为0.11-0.62）、男性平均年龄（IRR为0.93，95%置信区间为0.88-0.98）、男性中位数收入（IRR为0.96，95%置信区间为0.92-0.99）、未婚男性比例（IRR为1.08，95%置信区间为1.02-1.13）、拥有高等教育学历的男性比例（IRR为1.06，95%置信区间为1.03-1.10）、移民男性比例（IRR为1.04，95%置信区间为1.004-1.07）以及生活在低收入临界水平以下的男性比例（IRR为0.93，95%置信区间为0.89-0.98）。
这项试点研究展示了地理社交网络应用程序和行政数据集的结合如何可能帮助医疗服务提供者、规划者和社区领袖针对使用应用程序的男同性恋、双性恋和其他男性性行为者进行线上和线下干预。
