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      Estimating the Prevalence of HIV and Sexual Behaviors Among the US Transgender Population: A Systematic Review and Meta-Analysis, 2006–2017

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          Abstract

          Background. Transgender women (transwomen) in the United States have been shown to have high HIV risk with Black and Hispanic transwomen being particularly vulnerable. Growing research on transgender men (transmen) also shows increased HIV risk and burden, although not as much is known for this transgender population.Objectives. This systematic review estimates the prevalence of self-reported and laboratory-confirmed HIV infection, reported sexual and injection behaviors, and contextual factors associated with HIV risk of transgender persons living in the United States.Search Methods. We searched the HIV Prevention Research Synthesis database and MEDLINE, EMBASE, PsycINFO, CINAHL, and Sociological Abstracts databases from January 2006 to March 2017 and January 2006 to May 2017, respectively. Additional hand searches were conducted in December 2017 to obtain studies not found in the literature searches.Selection Criteria. Eligible reports were published US-based studies that included transgender persons and reported HIV status.Data collection and analysis. Data were double-coded and quality assessed. We used random-effects models employing the DerSimonian-Laird method to calculate overall prevalence of HIV infection, risk behaviors, and contextual factors for transwomen, transmen, and race/ethnicity subgroups.Main Results. We reviewed 88 studies, the majority of which were cross-sectional surveys. Overall laboratory-confirmed estimated prevalence of HIV infection was 9.2% (95% confidence interval [CI] = 6.0%, 13.7%; κ = 24). Among transwomen and transmen, HIV infection prevalence estimates were 14.1% (95% CI = 8.7%, 22.2%; κ = 13) and 3.2% (95% CI = 1.4%, 7.1%; κ = 8), respectively. Self-reported HIV infection was 16.1% (95% CI = 12.0%, 21.2%; κ = 44), 21.0% (95% CI = 15.9%, 27.2%; κ = 30), and 1.2% (95% CI = 0.4%, 3.1%; κ = 7) for overall, transwomen, and transmen, respectively. HIV infection estimates were highest among Blacks (44.2%; 95% CI = 23.2%, 67.5%; κ = 4). Overall, participation in sex work was 31.0% (95% CI = 23.9%, 39.0%; κ = 39). Transwomen (37.9%; 95% CI = 29.0%, 47.7%; κ = 29) reported higher participation in sex work than transmen (13.1%; 95% CI = 6.6%, 24.3%; κ = 10; P = .001). Most outcomes indicated high heterogeneity in the overall and subgroup analyses.Conclusions. The availability of more data allowed us to calculate estimates separately for transwomen and transmen. HIV prevalence estimates for US transwomen were lower than previous estimates, but estimates for HIV prevalence and participation in sex work were higher when compared with transmen. Evidence gaps remain for transmen and the syndemic relationship of HIV, risky behaviors, and contextual factors specific to the transgender experience.Public Health Implications. This study highlights gender disparities for HIV and risky sexual behavior, as well as evidence gaps that exist for transmen. Tailored programs and services for the transgender population need to be developed to encourage use of and access to HIV prevention services.

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          Experiences of transgender-related discrimination and implications for health: results from the Virginia Transgender Health Initiative Study.

          We examined relationships between social determinants of health and experiences of transgender-related discrimination reported by transgender people in Virginia. In 2005 through 2006, 387 self-identified transgender people completed a statewide health needs assessment; 350 who completed eligibility questions were included in this examination of factors associated with experiences of discrimination in health care, employment, or housing. We fit multivariate logistic regression models using generalized estimating equations to adjust for survey modality (online vs paper). Of participants, 41% (n = 143) reported experiences of transgender-related discrimination. Factors associated with transgender-related discrimination were geographic context, gender (female-to male spectrum vs male-to-female spectrum), low socioeconomic status, being a racial/ethnic minority, not having health insurance, gender transition indicators (younger age at first transgender awareness), health care needed but unable to be obtained (hormone therapy and mental health services), history of violence (sexual and physical), substance use health behaviors (tobacco and alcohol), and interpersonal factors (family support and community connectedness). Findings suggest that transgender Virginians experience widespread discrimination in health care, employment, and housing. Multilevel interventions are needed for transgender populations, including legal protections and training for health care providers.
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            Transgender Population Size in the United States: a Meta-Regression of Population-Based Probability Samples

            Background. Transgender individuals have a gender identity that differs from the sex they were assigned at birth. The population size of transgender individuals in the United States is not well-known, in part because official records, including the US Census, do not include data on gender identity. Population surveys today more often collect transgender-inclusive gender-identity data, and secular trends in culture and the media have created a somewhat more favorable environment for transgender people. Objectives. To estimate the current population size of transgender individuals in the United States and evaluate any trend over time. Search methods. In June and July 2016, we searched PubMed, Cumulative Index to Nursing and Allied Health Literature, and Web of Science for national surveys, as well as “gray” literature, through an Internet search. We limited the search to 2006 through 2016. Selection criteria. We selected population-based surveys that used probability sampling and included self-reported transgender-identity data. Data collection and analysis. We used random-effects meta-analysis to pool eligible surveys and used meta-regression to address our hypothesis that the transgender population size estimate would increase over time. We used subsample and leave-one-out analysis to assess for bias. Main results. Our meta-regression model, based on 12 surveys covering 2007 to 2015, explained 62.5% of model heterogeneity, with a significant effect for each unit increase in survey year ( F  = 17.122; df  = 1,10; b = 0.026%; P  = .002). Extrapolating these results to 2016 suggested a current US population size of 390 adults per 100 000, or almost 1 million adults nationally. This estimate may be more indicative for younger adults, who represented more than 50% of the respondents in our analysis. Authors’ conclusions. Future national surveys are likely to observe higher numbers of transgender people. The large variety in questions used to ask about transgender identity may account for residual heterogeneity in our models. Public health implications. Under- or nonrepresentation of transgender individuals in population surveys is a barrier to understanding social determinants and health disparities faced by this population. We recommend using standardized questions to identify respondents with transgender and nonbinary gender identities, which will allow a more accurate population size estimate.
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              Violence against transgender people: A review of United States data

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                Author and article information

                Journal
                American Journal of Public Health
                Am J Public Health
                American Public Health Association
                0090-0036
                1541-0048
                January 2019
                January 2019
                : 109
                : 1
                : e1-e8
                Affiliations
                [1 ]Jeffrey S. Becasen, Mary M. Mullins, Darrel H. Higa, and Theresa Ann Sipe are with the Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA. Christa L. Denard is with ICF International, Atlanta.
                Article
                10.2105/AJPH.2018.304727
                6301428
                30496000
                3198a28d-a30f-41e5-b7b1-8552a010e846
                © 2019
                History

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