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These results did not change when network size was entered into the model Model 2even though network size did significantly predict mental health. Several other participants related similar ideas, expressing the power of message communication within their social networks as greater influencers in shaping their behaviors.

Risk reduction interventions delivered via social media technologies have demonstrated low to moderate success in most populations with effect sizes ranging from low to moderate in general and MSM populations; Gold et al. Table 2: Subject demographics. Table 2. Transgender older adults in this study identify themselves as lesbian, gay male, bisexual, and also heterosexual; and they may have more opportunities to build social network in diverse communities than nontransgender LGB older adults.

Linear regression for s# 1 social network for the gay bi male and background characteristics and logistic regression for binary background characteristics were applied to examine differences in background characteristics by social network type.

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In addition to methodological limitations, it was outside the scope of this study to examine other important correlates of social network type that could provide a more comprehensive view of the processes underlying social network development.

The lack of communication of sexual risk is mostly attributed to HIV stigma. It has been shown that the summation method yields a valid and reliable proxy for the actual network size McCarty et al.

S# 1 social network for the gay bi male and

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