Intercategorical and Intracategorical Experiences of Discrimination and HIV Prevalence Among Transgender Women in San Francisco, CA: A Quantitative Intersectionality Analysis.
Objectives. To examine differences in HIV prevalence and experiences of discrimination within the trans women community in California's San Francisco Bay Area. Methods. Intersectional positions were constructed on the basis of race/ethnicity (non-Hispanic White, non-Hispanic Black, Latina) and gende...
| Publicado en: | American Journal of Public Health Vol. 111; no. 3; pp. 446 - 457 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
| Publicado: |
American Public Health Association
Mar2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=148624515&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 148624515 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Mar2021 vid: 111 iid: 3 pid: 44 pub: American Public Health Association artinfo: ui: 148624515 10.2105/AJPH.2020.306055 ppf: 446 ppct: 11 formats: tig: atl: Intercategorical and Intracategorical Experiences of Discrimination and HIV Prevalence Among Transgender Women in San Francisco, CA: A Quantitative Intersectionality Analysis. aug: au: Wesson, Paul Vittinghoff, Eric Turner, Caitlin Arayasirikul, Sean McFarland, Willi Wilson, Erin su: California African Americans Hispanic Americans Quantitative research Race Intersectionality Trans women Discrimination (Sociology) HIV infection epidemiology Regression analysis sug: subj: African Americans Hispanic Americans Quantitative research Race Intersectionality Trans women Discrimination (Sociology) California HIV infection epidemiology Regression analysis ab: Objectives. To examine differences in HIV prevalence and experiences of discrimination within the trans women community in California's San Francisco Bay Area. Methods. Intersectional positions were constructed on the basis of race/ethnicity (non-Hispanic White, non-Hispanic Black, Latina) and gender identity (female identifying, transgender identifying). We used baseline data from the Trans*National study (2016–2017) to construct regression models that estimated racial/ethnic differences in the attribution of discrimination experienced and, along with surrogate measures for intersectionality, estimated risk among those who were dually marginalized (racial/ethnic minority and transgender identifying). Margins plots were used to visually compare absolute risk across all intersectional positions. Results. Black and Latina trans women were more likely to be HIV positive than non-Hispanic White trans women. In several of the study domains, we estimated a lower risk of reporting discrimination among dually marginalized trans women than among White female-identifying trans women. Conclusions. Quantitative intersectionality methods highlight the diversity of experiences within the trans women community and reveal potential measurement challenges. Despite facing multiple forms of systemic marginalization, racial/ethnic minority trans women report less discrimination than White trans women. Subjective reporting of discrimination likely undercounts risks among racial/ethnic minorities. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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