Table 2.
Study | Design | NIH QAT rating | Sampling | Gender identification method | Sample characteristics | Health outcome | Summary of relevant findings | Measure of social/legal gender affirmation |
---|---|---|---|---|---|---|---|---|
Glynn et al.21 | Cross-sectional | Good | Purposive sampling in community spaces and venues Two rounds; second to “increase size and diversity of the sample” |
Self-identification as transgender or transsexual woman | 573 trans women with a history of sex work from San Francisco, CA 41% Black, 21% white, 19% Asian/Pacific Islander, 19% Latina |
Mental health: Depression Self-esteem Suicidal ideation |
Social, psychological, and medical gender affirmation were significant predictors of lower depression and higher self-esteem. There was no association with suicidal ideation. | Social gender affirmation: Satisfaction with Family Social Support Scale; 5 items rated on 3-point scale; sample: “During the last 30 days, how much more help would you have liked from family members to help you do things?” |
Nuttbrock et al.28 | Cross-sectional | Poor | Not reported | Not reported | 43 trans women sex workers from New York City metro 33% Hispanic, 49% African American (rest of sample not described) |
Mental health: Depressive symptoms |
There was a high prevalence of gender affirmation from partners, but it was not associated with depressive symptoms. There was a negative association between gender affirmation from friends and gender affirmation from parents with depressive symptoms. | Gender affirmation: Degree to which specific people (family, friends, etc.) “[see] female attire as a natural part of who they are a person.” |
Fisher et al.30 | Cross-sectional | Poor | Online sampling through Facebook and e-mail lists; national | Not reported | 90 trans men and 60 trans women, 14–21 years old, with cisgender male sexual partners 5.3% African American/black, 6.0% American Indian/Alaska Native, 4.0% Asian, 11.3% Hispanic/Latino, 88.7% non-Hispanic white, 7.3% other |
HIV prevention: Willingness to participate in PrEP research |
Most participants reported that at least one of their caregivers (primary or secondary) was somewhat to very accepting of their trans identity, although this was not associated with willingness to participate in PrEP research. Participants identified access to trans affirming counseling during PrEP research as a factor that would facilitate their involvement. | Assessed family disclosure and acceptance of gender and sexual orientation identities; measure was not described. Listed “being able to talk to research staff who are affirming of my gender identity” on checklist of potential facilitators to PrEP study participation. |
Goldenberg et al.31 | Cross-sectional | Good | Purposive sampling across 14 U.S. cities through community-based agencies | Gender identity not the same as sex assigned at birth | 110 Black trans and gender nonconforming youth 68.18% transfeminine, 10.00% transmasculine, 21.82% gender diverse |
Health care utilization: Delaying primary care |
Not delaying health care was associated with having gender affirmation needs met in bivariate analysis. In adjusted models, experiencing gender affirmation in health care settings was associated with decreased odds of delaying/not using health care. Gender affirmation in health care modified the relationship between anticipated stigma and probability of delaying or not using primary care. | Gender affirmation occurring in health care: 8 items related to need for and 8 items related to access to gender affirmation in health care; 4-point scale; sample “It is important to me that my preferred name and gender pronouns are always used at the places where I receive health care, including in the waiting room.” |
Kuper et al.32 | Cross-sectional | Good | Recruitment not described; survey was online; national | Self-identification as a gender identity other than or in addition to their sex assigned at birth | 1896 trans people ages 14–30 89.7% White, 5.5% black or African American, 5.5% American Indian or Alaska Native, 9.2% Hispanic or Latino, 5.4% Asian or Pacific Islander, 1.7% Arab or Middle Eastern 21.9% assigned male at birth, 78.1% assigned female at birth |
Mental health: Suicide attempt Suicidal ideation Suicide risk |
Gender-related support and gender-related expression ability were associated with decreased odds of past-year suicide attempt, past-year suicidal ideation, and current suicide risk, but was not significant in adjusted models. | Gender-related support: 4 items; α=0.82; sample: “People in my life have been accepting of my gender identity/expression.” Gender-related expression ability: 3 items; α=0.79; sample: “I have been able to openly dress and style myself the way that I want.” Each rated on a 4-point scale; measures developed based on qualitative interviews and confirmatory factor analysis |
Le et al.33 | Cross-sectional | Poor | Purposive sampling: peer referral, social media, community organizations, health clinics | Self-identification as any gender other than that typically associated with an assigned male sex a birth | 301 trans female youth ages 16–24 from San Francisco, CA 44.2% female, 32.9% transgender, 22.9% genderqueer/fluid/questioning 36.5% white, 21.9% Latina, 13.0% African American, 6.3% Asian, 7% other race, 15.3% mixed |
Mental health: Psychological distress |
A greater proportion of participants who reported that their parents were their primary source of social support reported parental acceptance than those who reported a different primary source of social support. | Parental acceptance: 10 dichotomous items; acceptance defined as endorsement of 6+; sample: “Did any of your parents or caregivers ever talk about your trans identity with you?”; α=0.775 |
Cross sectional | Poor | N/A, used electronic health records | Not reported | 180 electronic health records from trans patients at a clinic serving people ages 12–29 in Boston, MA 63.04% FTM, 36.96% MTF, 23.91% racial/ethnic minority, 76.09% white non-Hispanic |
Smoking | Gender affirmation was not associated with current or lifetime cigarette smoking. | Gender affirmation: number of following items in electronic health record: Family support for transgender identity Legal name change Legal gender identification change Involvement with transgender organizations |
|
Pariseau et al.35 | Mixed methods | Fair | Recruited from “an interdisciplinary gender clinic serving transgender youth”; procedures not reported | Not reported | 54 patients ages 8–17 at a gender clinic in Boston with at least one caregiver | Mental health Depressive symptoms Anxiety symptoms Internalization and externalization of problems |
Past acceptance from the primary caregiver was associated with decreased odds of depressive symptoms, anxiety symptoms, and internalizing problems. Acceptance from siblings was associated with decreased odds of externalizing problems and thoughts of suicide. | Gender acceptance: Applied a coding system to clinical interviews. Coded for parental past and current gender acceptance and sibling current gender acceptance. |
Pollitt et al.36 | Cross-sectional | Fair | Recruited from three U.S. cities; procedures not described | Two-step method | 129 trans and genderqueer youth ages 15–21 10.1% Asian/Pacific Islander, 24.8% black, 27.1% white, 26.4% Multiracial, 11.6% no race reported 34.1% trans woman, 31.0% trans man, 10.9% different gender—assigned sex male, 24.0% different gender—assigned sex female |
Mental health: Depressive symptoms Negative suicidal ideation Self-esteem Positive suicidal ideation (i.e., wanting to continue to live) |
Among participants who had a chosen name, use of the chosen name at home, school, and work was associated with decreased likelihood of depressive symptoms and negative suicidal ideation and increased odds of higher self-esteem. Use of the chosen name at home was also associated with positive suicidal ideation. | Chosen name use: one item about whether participant had a “preferred name different from the name they were given at birth” & whether they were able to go by this preferred name at home, school, work, and with friends. Family acceptance of gender identity: single item rated on a 4-point scale |
Reisner et al.37 | Cross-sectional | Good | Purposive sampling of youth engaged in care at an Adolescent Medicine Trials Unit site from 14 U.S. cities | Two-step method cross-classifying sex at birth and current gender identity | 181 transgender youth ages 16–24 from 14 U.S. cities 76.8% transfeminine, 23.2% transmasculine 69.1% people of color |
HIV prevention: Engagement in counseling or programs with HIV prevention content HIV treatment HIV care continuum |
Social gender affirmation in HIV-related medical care predicted involvement in primary prevention for seronegative youth, but was not associated with care continuum for seropositive youth. | Social gender affirmation in health care: single item; “In the past 12 months, how supported have you felt in your gender identity or gender expression at place(s) where you accessed HIV-related services?” |
Russell et al.38 | Cross-sectional | Fair | Recruited from three U.S. cities; procedures not described | Not reported | 129 trans and genderqueer youth ages 15–21 38% MTF, 38% FTM, 7% MTDG, 17% FTDG 24% white, 8% Asian, 33% black, 28% multiracial, 7% not reported |
Mental health: Depressive symptoms Suicidal ideation Suicidal behavior |
Chosen name use in more contexts predicted fewer depressive symptoms, less suicidal ideation, and less suicidal behavior. | Chosen name use: one item about whether participant had a “preferred name different from the name they were given at birth” and whether they were able to go by this preferred name at home, school, work, and with friends. |
Wilson et al.39 | Cross-sectional | Good | Peer referral, respondent-driven sampling, and social media outreach | Identifying as any gender other than that associated with their assigned male sex at birth | 216 sexually active trans female youth without HIV from San Francisco 16.7% genderqueer, 31.9% transgender, 44.4% female, 6.9% other 5.6% Asian, 13.4% African American, 23.1% Latina, 15.3% mixed, 34.3% white, 8.3% other |
Mental health: PTSD Mental health symptoms (Brief Symptom Inventory) Depression Stress related to suicidal thoughts |
Youth with higher parental acceptance of their transgender identity reported significantly lower odds of PTSD compared to those with lower parental acceptance. There was no relationship for mental health symptoms, depression, and stress related to suicidal thoughts. | Parental acceptance of transgender identity: “Parental acceptance was measured by developing 10 questions based on research from the Family Acceptance Project.” |
Barr et al.40 | Cross-sectional | Fair | Purposive sampling through community and university organizations and social media; national Two rounds; second round devoted to people of color |
Two-step method; included all participants who reported a gender identity different than their assigned sex at birth | 571 trans adults 36.6% female, 38.0% male, 25.4% nonbinary 79.5% white, 9.5% multiracial, 3.7% black, 4.2% Latino, 1.6% Asian, 0.8% other |
Mental health: Psychological well-being |
Transgender community belongingness mediates the relationship between strength of transgender identity and psychological well-being. | Transgender community belongingness: 9 items; 5-point scale; some relate to social gender affirmation (“There are places in the trans community where I feel understood and accepted”) and some do not (“There are places within the trans community where I can get support”) |
Bockting et al.41 | Cross-sectional | Fair | Online sampling; national; quotas to recruit equal numbers of transsexuals, cross-dressers, drag queens and kings, and “other” transgender people | Self-identification as transgender | 1093 trans adults ages 18–65 57.5% trans women, 42.5% trans men 79.4% white, 5.1% Latino, 2.4% African American, 1.6% Asian/Pacific Islander, 1.0% Native American, 7.0% Multiracial, 3.5% other |
Mental health: Mental health symptoms |
Family and peer support were significantly associated with decreased odds of mental health symptoms. Peer support moderated the relationship between enacted stigma and mental health symptoms in such a way that high peer support removed the association between enacted stigma and mental health symptoms. | Family support: “How supportive do you feel your family of origin (parents and/or siblings) is regarding your transgender identity?” and “How supportive do you feel your immediate family (partner, children) is regarding your transgender identity” 7-point scale; α=0.88 Peer support: “What portion of your social time is spent with transgender people?” and “How often have you felt like you were the only transgender person in the area where you live?” 7-point scale; α=0.87 |
Crosby et al.42 | Cross-sectional | Poor | Community-based outreach in Atlanta, GA, including venue-based sampling and word-of-mouth referrals from transgender advocates | “Having been assigned male at birth and self-identifying as either a transgender woman, female, or other gender non-conforming identity” | 77 Black trans women | Mental health: Mental health outcomes (Brief Symptom Inventory) |
Social, but not medical gender affirmation was associated with a lower likelihood of mental health outcomes. | Social gender affirmation composite: 5 items: 1. Legal name change 2. Legal photo ID with gender marker changed 3. Do not avoid thinking about gender identity 4. in a relationship 5. Reporting finding sex to be blissful |
Fuller and Riggs43 | Cross-sectional | Poor | Purposive sampling through social media and community organizations; national | Not reported | 345 trans adults 31.6% male, 25.2% nonbinary, 24.6% female, 13.0% another gender, 5.5% agender 75.7% White, 4.3% black, 3.5% Hispanic, 3.2% American Indian or Alaskan Native, 5.5% Asian or Pacific Islander, 7.8% other |
Mental health: Psychological distress |
Gender-related family support was negatively correlated with psychological distress. | Gender-related family support: “How supportive has your family of origin been of your trans and/or gender diverse identity?”; 4-point scale |
Hill et al.44 | Cross-sectional | Poor | Venue-based sampling through the Transgender Legal Defense and Education Fund Name Change Project in New York, NY | Identifying as a transgender woman, trans woman, transgender female, or MTF transgender/transsexual person | 65 trans women of color 52.3% Black/African American, 7.7% Pacific Islander, 46.2% Hispanic/Latino |
Health care utilization: Delaying medical care Nonprescribed Hormone Use |
Legal name change was associated with higher monthly income, stable housing, and postponement of care due to gender identity, nonprescribed hormone use, and verbal harassment from family. | Legal name change: single-item dichotomous measure |
Kidd et al.45 | Cross-sectional | Poor | Online sampling; national | Participants gave open-ended descriptions of gender identity Self-identification as transsexual, cross-dresser, drag queen or king, or other (“My transgender identity doesn't fit any of the above categories”) Participants reported “the degree to which they felt like a woman or a man” and sex assigned at birth |
631 transfeminine and 473 transmasculine adults Sample primarily white |
Smoking | In bivariate analysis, gender marker change was associated with decreased odds of smoking in the past 3 months. This was retained for transfeminine participants in multivariable models, but not for transmasculine. | Legal document gender marker change: Determined by comparing participants' sex assigned at birth and their response to the question “According to your current birth certificate, what is your legal sex?” |
Nuttbrock et al.46 | Cross-sectional | Fair | Online and community-based sampling | “Medical assignment as ‘male’ at birth with a later conception of one's self as not ‘completely male’ in all situations or roles” | 571 trans women from New York City metro, ages 19–59 43.9% Hispanic, 26.8% non-Hispanic white, 21.6% non-Hispanic black, 7.6% other |
Mental health: Major depression |
Gender affirmation was associated with decreased likelihood of major depression across the life course. | Transgender identity affirmation: Percentage of time “relationship partners acted upon disclosures of transgender identity in a positive or affirming way” and the percentage of time these individuals “treated them the way they wanted to be treated with regard to gender.” Rated on a 6-point scale for each of six different types of relationships: parents, siblings, fellow students, friends, coworkers, and sex partners. |
Poteat et al.47 | Mixed methods | Fair | Purposive sampling at community-based organizations, health care centers, and social media First round of recruitment occurred in Baltimore; Washington, DC, was added to increase sample size |
Assigned male at birth and identifies as a female/woman or transgender | 201 Black and Latina trans women ages 19–82 from Baltimore or Washington, DC 62.2% Black/African American, 17.4% multiracial, 11.0% other race, 9.5% Indigenous 26.9% Latina/Hispanic |
HIV prevention: PrEP willingness |
Legal gender affirmation was associated with lower odds of PrEP willingness in adjusted models. | Legal gender affirmation: single-item measure of the extent to which identification documents list their desired name and gender marker |
Reisner et al.48 | Cross-sectional | Poor | Convenience sampling online and in person; Boston, MA | Two-step method based on sex assigned at birth and current gender identity | 171 trans men who have sex with men 81.5% white, 7.5% Hispanic, 2.9% black, 6.9% multiracial, 1.2% other 51.4% binary; 48.6% nonbinary |
HIV prevention: Sexual risk STIs Number of sexual partners Condomless sex |
Syndemics (drinking, poly-drug use, depression, anxiety, CPA/CSA, IPV) were associated with increased odds of all sexual risk outcomes. Syndemics were associated with sexual risk only for participants who had social gender affirmation. Social gender affirmation was associated with increased odds of lifetime STI diagnoses, having 3+ sexual partners, and decreased odds of condomless sex. | Social gender affirmation: single-item dichotomous measure; “Do you live full time in your identified gender?” |
Rosen et al.49 | Cross-sectional | Fair | Convenience sampling at HIV and transgender-related community events, social and community-based organizations, and word of mouth | Assigned male sex at birth and identified as female, woman, or transgender | 201 Black and Latina trans women with HIV, ages 15+, from Baltimore or Washington, DC 62.2% Black/African American, 17.4% multiracial, 11.0% other race, 9.5% Indigenous 26.9% Latina/Hispanic |
HIV treatment: Treatment interruptions |
Medical, but not legal gender affirmation was associated with HIV treatment interruptions in bivariate and multivariable models. | Legal gender affirmation: single-item measure of the extent to which identification documents list their desired name and gender marker |
Sevelius et al.50 | Cross-sectional | Fair | Purposive sampling at community and clinic sites across 4 U.S. cities; sites organized own recruitment procedures; examples: community outreach, word of mouth, referrals from service providers | Assigned male at birth and identify as transgender or female | 858 trans women of color 49% Hispanic/Latina, 42% black, 8% other race From San Francisco, New York, Los Angeles, and Chicago |
HIV treatment: Viral suppression |
Gender affirmation and health care empowerment mediated the relationship between transgender-related discrimination and viral suppression such that participants who reported transgender-related discrimination were more likely to be virally suppressed if they also reported higher levels of gender affirmation and health care empowerment. | Gender affirmation: Access to gender affirmation in health care: 12 items rated on a 5-point scale; sample: “During your last HIV medical appointment, how welcoming was your medical care provider's waiting room for trans women?”; α=0.88 Need for gender affirmation: 5 items rated on 5-point scale; sample: “How important is it that strangers call you ‘she’ when talking to you?”; α=0.87 Satisfaction with gender affirmation: 5 items rated on 5-point scale; sample: “How satisfied are you with your current level of femininity?”; α=0.87 |
Sevelius et al.51 | Cross-sectional | Fair | Purposive sampling by street outreach, venue-based sampling, and snowball sampling in San Francisco, CA | Assigned male sex at birth and identify as female, transgender, or a gender identity other than male | 59 trans women on ART for HIV, living in San Francisco 62.7% Black/African American, 6.8% white/Caucasian, 10.2% Hispanic, 20.3% other |
HIV treatment: Antiretroviral therapy adherence Viral load |
Higher importance of gender affirmation was associated with ART adherence in multiple models, but not with HIV viral load. | Gender affirmation: Importance of gender affirmation: 5 items rated on 5-point scale; sample: “How important is it that strangers call you ‘she’ when talking to you?”; α=0.86 Satisfaction with current gender expression: 5 items rated on 5-point scale; sample: “How satisfied are you with your current level of femininity?”; α=0.91 |
Stanton et al.52 | Cross-sectional | Good | Purposive sampling at event venues, through snowball and respondent-driven sampling, and online | “All respondents who did not identify as cisgender” | 402 trans and gender nonconforming adults 30% Black, 12% Hispanic/Latino/a, 6% Asian/Pacific Islander, 5% Native American, 23% white, 19% Multiracial, 6% other 21% male, 21% female, 32% MTF transgender, 18% FTM transgender, 35% other |
Mental health: Psychological well-being |
Family support positively predicted well-being, but was not significant when controlling for demographic and health behavior covariates. | Family support: “As a lesbian, gay, bisexual, or transgender person, how much do you now feel supported by your family?” 6-point scale |
ART, antiretroviral therapy; CSA/CPA, childhood sexual abuse/childhood physical abuse; FTDG, female-to-different-gender; FTM, female-to-male; IPV, intimate partner violence; MTDF, male-to-different-gender; MTF, male-to-female; NIH QAT, National Institute of Health Quality Assessment Tool; PrEP, pre-exposure prophylaxis; PTSD, post-traumatic stress disorder; STI, sexually transmitted infection.