Understanding where and how young black men who have sex with men App Usage Patterns of Gay, Bisexua

The use of mobile phone apps by Australian gay and bisexual men to meet sex partners: an analysis of sex-seeking repertoires and risks for HIV and STIs using behavioural surveillance data. Regardless of HIV or SES, study respondents were more likely to have received information about the study through a service agency than from other sources.

Children's Health. The advantages and limitations of seeking sex online: a comparison of reasons given for online and offline sexual liaisons by men who have sex with men. July 30, at Report abuse.

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  • Together these factors highlight the diverse drivers that underlie the ways GBM connect with their communities [ 70 , 71 ]. Residuals and Influence in Regression.
  • Most respondents believed a majority of their partners to be HIV-negative
  • Further, because RDS weights were not used in the present analysis our sample is analogous to other non-adjusted chain-referral samples—where recruitment conditions may influence salient factors considered in our analysis.
  • Implications Given the findings outlined, future studies are needed to assess the generalizability of these piloted methods and determine the generalizability of these results outside Metro Vancouver.
  • To further control for variance in use across time ie, peak hours , we used a random number generator to randomize the order in which geographic locations were sampled. Other research has found that sexual risks among BMSM vary with differing life phases and contexts of sexual relationships [ 45 ].
  • J Urban Econ Jan;51 1
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  • The social technographics of gay men and other men who have sex with men MSM in Canada: implications for HIV research, outreach and prevention.
  • Carefully designed, qualitative and rapid assessment approaches could help elucidate the relative importance of these and other potential influences on participation.
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Therefore, future studies should seek out other datasets and data sources from which models might be derived, thus providing a more complete and empirically valid picture of the ecological factors associated with app user density eg, male population density vs general population density, same-sex households.

Among 53 participants at baseline, an average of 8. Most men were active in the evening Not Gay, Bi-, Queer identified.

Understanding where and how young black men who have sex with men App Usage Patterns of Gay, Bisexua
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