Table 1. Transgender and Other Gender Minority Population Health Research 2008–2014 by Region, Country, and then Author. | ||||||||
Location | Sampling method | Sample | Assigned sex at birth | Sample size | Measure of prevalence/association | Significant associations | Health outcome measures | |
North America | ||||||||
Bauer, 20131 | Ontario, Canada | Respondent-driven sampling | Trans gay, bisexual, and/or have sex with men | Female | 173 | Prevalence | None | Depressive symptoms |
Moody, 20132 | Canada | Internet-based | Transgender | Both | 133 | Beta | Perceived support from family, emotional stability, child-related concerns | Suicidal behavior |
Alvarez-Wyssmann, 20133 | Mexico City, Mexico | Chart review | HIV infected transgender men on HAART | Female | 127 | Prevalence | None | Diabetes |
Reisner, 20144 | Boston, USA | Chart review | Female to Male transgender with diagnosis of GID | Female | 23 | Prevalence | None | HIV seroprevalence, history of STIs, axis 1 diagnosis, axis 2 diagnosis, depression, anxiety, substance use disorder, PTSD, bipolar disorder, adjustment disorder, suicide attempt |
Shipherd, 20125 | Boston, USA | Trans conference-based | Male to Female transsexual and cross dresser veterans | Male | 43 | Prevalence | None | High cholesterol, blood pressure, vision problems, hearing problems, chronic pain, arthritis, digestive problems, cancer, lung problems, kidney problems, diabetes, depression, PTSD, anxiety, other mental health |
Dowshen, 20116 | Chicago, USA | Convenience sample | Young transgender women | Male | 92 | Prevalence | None | Drunk or buzzed in past 3 months |
Garofalo, 20127 | Chicago, USA | Active recruitment at local transgender gathering spots and passive recruitment through flyer distribution | Young transgender women | Male | 51 | Prevalence | None | HIV self-report, new STI diagnosis past 3 months |
Fletcher, 20148 | Los Angeles, USA | Venue-based recruitment | Community-based HIV prevention program attendees | Male | 517 | Prevalence | Marginally homeless, homeless | HIV self-report, cocaine use last 30 days, crack use last 30 days, methamphetamine use last 30 days, heroin use last 30 days, marijuana use last 30 days, hormone use last 30 days |
Reback, 20149 | Los Angeles, USA | Outreach based | Male to female transgender | Male | 2136 | Adjusted odds ratio; prevalence | African-American, Methamphetimine, Crack, Injection drug, sex work, unprotected anal sex with sex work partner | HIV self-report; alcohol past 30 days, marijuana past 30 days, cocaine past 30 days, crack past 30 days, injection drug/hormone |
Simons, 201210 | Los Angeles, USA | Clinic-based recruitment | Transgender adolescents | Both | 28 | Prevalence; pearson’s correlation coefficient | Less parental support | Significant depression; higher rates of depression |
Simons, 201311 | Los Angeles, USA | Clinic-based recruitment | Transgender youth | Both | 66 | Beta | Parental support | Depressive symptoms |
Rohde Bowers, 201112 | Los Angeles County, USA | Venue based | High risk HIV prevention program attendees | Male | 1033 (320 transgender) | Prevalence | None | HIV self-report, alcohol (5 or more drinks), marijuana, methamphetamine, injected methamphetamine, cocaine, crack, ecstasy, GHB, amyl nitrate, heroin, injected heroin, hormones (non-prescribed), injected hormones |
Benotsch, 201313 | Mid-Atlantic, USA | Clinic-based recruitment | Transgender | Both | 155 | Prevalence | Individuals reporting non-medical use of prescription drugs | HIV-self report, BSI-depression, BSI-anxiety, BSI-somatic distress, BSI-Global Severity Index, alcohol use in past 3 months, cocaine use in past 3 months, methamphetamine use past 3 months, marijuana use past 3 months, poppers use past 3 months, ecstasy use past 3 months heroin use past 3 months, other recreational drug use past 3 months |
McElory, 201214 | Missouri, USA | Pride festivals recruitment | Sexual and gender minority individuals | NS | 6537 | Prevalence | None | Smoking |
Irwin, 201415 | Nebraska, USA | Community and internet-based | LGBT adults | Both | 770 (92 transgender) | Adjusted odds ratio | Transgender | Suicidal ideation |
Reisner, 201016 | New England, USA | Venue-based | Transmen | Female | 16 | Prevalence | None | Herpes self-report, trichomonas self-report, bacterial vaginosis self-report, alcohol use during sex, marijuana use during sex, hallucinogen use during sex, ecstasy use during sex |
Shipherd, 201117 | New England, USA | Trans conference | Transgender | Male | 97 | Prevalence | None | Post-traumatic stress disorder, depressive symptoms |
Hwahng, 201418 | New York, USA | Organization based, venue referrals, and internet | HIV uninfected male to female transgender | Male | 572 | Prevalence | None | Major depression (early and late adolescence), suicidal ideation (early and late adolescence) |
Koken, 200919 | New York, USA | Peer outreach and snowball | Transwomen | Male | 20 | Prevalence | None | HIV self-report |
Leinung, 201320 | New York, USA | Clinic-based recruitment | Transsexual | Male | 192 | Prevalence | None | Drug and substance use, HIV |
Female | 50 | Prevalence | None | Drug and substance abuse | ||||
Nuttbrock, 200921 | New York, USA | Organization based, venue referrals, internet advertisements | HIV uninfected male to female transgender | Male | 571 | Odds ratio | Commercial sex partners, androphilic, unemployment, sex identity disclosure, female attire in public, casual sex partners, substance use, psychoactive drug injection, Hispanic | HIV infected, syphilis, hepatitis B, hepatitis C |
Nuttbrock, 201022 | New York, USA | Organization based, venue referrals, internet advertisements | HIV uninfected male to female transgender | Male | 571 | Prevalence | None | Lifetime major depression, lifetime suicide plans, lifetime suicide attempt |
Nuttbrock, 201323 | New York, USA | Organization based, venue referrals, internet advertisements | HIV uninfected male to female transgender | Male | 230 | Adjusted odds ratio; odds ratio | Employment, sex work, transgender presentation, hormone therapy; psychological gender abuse, physical gender abuse | Major depression |
Nuttbrock, 201324 | New York, USA | Organization based, venue referrals, internet advertisements | HIV uninfected male to female transgender | Male | 230 | Prevalence; hazard ratio | Gender abuse, education, preoperative, non-white ethnicity, committed partners (unprotected) receptive anal intercourse, commercial partners (unprotected) receptive anal intercourse, depressive symptoms, legitimate income, hormone therapy, sexual reassignment surgery, younger age, sexually attracted to men only, casual partners (unprotected) receptive anal intercourse, CES-D score >=20 | HIV seroprevalence, depression; incident HIV/STI, depressive symptoms |
Nuttbrock, 201425 | New York, USA | Organization based, venue referrals, internet advertisements | HIV uninfected male to female transgender | Male | 230 | Adjusted odds ratio | Income, sex work, transgender presentation, hormone therapy, gender abuse, depressive symptoms | Alcohol use, cannabis use, cocaine use, any substance use |
Pathela, 201426 | New York City, USA | HIV/STD surveillance registries | Transgender women living with HIV | Male | 345 | Incidence | Transgender, diagnosed with HIV at a younger age, living with HIV for less time | STD coinfection with HIV |
Flentje, 201427 | San Francisco, USA | Clinic based recruitment | Individuals entering substance abuse treatment | Male | 13649 (146 transgender) | Prevalence; adjusted odds ratio | Transgender status | Methamphetamine; alcohol, cocaine, heroin, marijuana, other drug use, |
Female | 13649 (53 transgender) | Prevalence | None | Alcohol, cocaine, heroin, methamphetamine, other drug use | ||||
Gamarel, 201428 | San Francisco, USA | Purposive sampling in community spaces | Transgender females and their primary non transgender male partner | Male | 382 (191 transwomen) | Adjusted odds ratio | Financial hardship, discrimination, relationship stigma | Depressive distress |
Jefferson, 201329 | San Francisco, USA | NS | Transwomen | Male | 100 | Adjusted odds ratio; odds ratio | Coping self-efficacy; transgender identity, racism, transphobia, high combined discrimination | Depression |
Operario, 201130 | San Francisco, USA | Venue-based | Transgender adults in relationship with non-trans men | Male | 174 | Prevalence | None | HIV self-report, STI diagnosis or symptoms past 12 months, any alcohol use past 3 months, any illicit drug use past 3 months, any injection drug use past 3 months, depression |
Operario, 201431 | San Francisco, USA | Purposive community sampling | Self-identifying transgender women | Male | 191 | Prevalence | None | Self-reported HIV, depressive symptoms, alcohol intoxication past 30 days, illicit drug use past 30 days |
Rapues, 201332 | San Francisco, USA | Respondent-driven sampling | Male to female transgender | Male | 314 | Prevalence (RDS weighted) | None | HIV seroprevalence, HIV self-report, hepatitis C |
Reisner, 201433 | San Francisco, USA | Purposive sampling in community spaces | Transgender females and their primary non transgender male partner | Male | 382 (191 transwomen) | Prevalence; adjusted odds ratio | Age, financial hardship, discrimination | Depressive distress, HIV self-report; non-marijuana illicit drug use |
Santos, 201434 | San Francisco, USA | Respondent-driven sampling | Transfemale | Male | 314 | Adjusted odds ratio; prevalence | Any methamphetamine | HIV seroprevalence; crack cocaine, powdered cocaine, club drugs, downers, painkiller, hallucinogens, heroin, marijuana, alcohol, binge drinking, any substance |
Sevelius, 200935 | San Francisco, USA | Clinic and location based | Transgender | Male | 153 | Prevalence | None | HIV self-report, injecting drug use past year, alcohol use (five or more drinks per day) stimulant use |
Wilson, 201436 | San Francisco, USA | Respondent-driven sampling | Transgender women | Male | 235 | Prevalence | None | HIV seroprevalence, injection drug use |
Wilson, 201437 | San Francisco, USA | Respondent-driven sampling | Transgender women | Male | 233 | Prevalence | None | HIV seroprevalence, injected drugs |
Nemoto, 201438 | San Francisco and Oakland, USA | Purposive community sampling | Transgender women with a history of sex work | Male | 573 | Prevalence | Race | Depressive symptoms, self-reported HIV, STI history in past 12 months |
Brennan, 201239 | Chicago and Los Angeles, USA | Clinic-based, venue-based, and peer outreach and referral | Young transgender women | Male | 151 | Prevalence; point biserial correlations; adjusted odds ratio | Intimate partner violence, unprotected anal intercourse, polysubstance use; 3 or 4 syndemic index factors (low self-esteem, polysubstance use, victimization, and intimate partner violence) vs 0 | Polysubstance use; HIV self-report |
Bradford, 201340 | Virginia, USA | Internet and peer referral | Transgender | Both | 350 | Prevalence | None | HIV seroprevalence |
Blosnich, 201341 | USA | Clinic-based recruitment | Veterans Health Association users with diagnosis of GID | NS | 1326 in 2009 1162 in 2010 1326 in 2011 |
Period prevalence | None | Suicide-related event |
Bockting, 201342 | USA | Internet-based | Transgender adults | Both | 1093 | Adjusted odds ratio | Transwomen compared to transmen, age, education, enacted stigma, felt stigma, peer support, family support, identity pride | Depression, anxiety, somatization, Global Severity Index |
Budge, 201343 | USA | Internet-based | Transgender adults | Male | 226 | Beta | Transition status, social support | Depression, anxiety |
Female | 125 | Beta | Transition status, social support | Depression, anxiety | ||||
Effrig, 201144 | USA | College campus survey | College students | NS | 21686 (86 transgender or “other” gender | Prevalence | None | Attempted suicide, suicidal ideation |
Feldman, 201445 | USA | Internet based | Transgender | Both | 1229 | Prevalence | None | HIV self-report |
Fredriksen-Goldsen, 201446 | USA | Community-agency based | LGBT adults 50 and older | NS | 2201 (174 transgender) | Prevalence | None | Disability, Obesity |
Horvath, 201447 | USA | Internet based | Rural and urban transgender | Male | 692 | Prevalence | None | HIV self-report, regular heavy alcohol use, binge alcohol use, marijuana use, non-marijuana drug use |
Female | 523 | Prevalence | None | HIV self-report, regular heavy alcohol use, binge alcohol use, marijuana use, non-marijuana drug use | ||||
Hotton, 201348 | USA | NS | Young transgender women | Male | 116 | Prevalence; odds ratio | Life stress | Substance use in past 3 months, alcohol use in the past 3 months |
House, 201149 | USA | Internet-based | LGBT adults | Both | 1126 (164 transgender) | Adjusted odds ratio | Transgender compared with male | Non-suicidal self-harm, attempted suicide |
Mustanski, 201350 | USA | Venue-based | LGBT youth | Both | 237 (21 transgender) | Prevalence | None | Lifetime suicidal attempt |
Peitzmeier, 201451 | USA | Clinic-based | Clinic patients receiving Pap tests | Female | 3858 (233 transgender) | Prevalence | None | HIV seroprevalence |
Rath, 201352 | USA | Probabilty-based | Young adults | NS | 4159 (12 transgender) | Prevalence | None | Major depressive disorder, current alcohol use, cigarette use |
Reisner, 201353 | USA | Brief intercept | Transmasculine | Female | 73 | Prevalence | All health outcomes compared to depression only | Lifetime clinical depression, alcohol abuse, current or former smoking, asthma, obese; avoided/delayed health care, younger age, queer or non-binary sexual orientation |
Reisner, 201454 | USA | Convenience sample | Transfeminine gender identity | Male | 3878 | Prevalence; risk ratio | Jail/prison time, mistreated/victimized in jail/prison, denied healthcare in jail/prison | HIV self-report, daily cigarette smoker, substance use to cope, suicide attempt |
Reisner55 | USA | Clinic-based | Participants from the Community Health Center Core Data Project | Both | 2653 (31 transgender) | Prevalence | Transgender | Suicidal ideation, attempted suicide ever, substance abuse history, smoking, HIV self-report |
Sánchez, 200956 | USA | Transgender event | Male to female transsexuals | Male | 53 | Beta | Transgender-related fears | Psychological distress |
Sevelius, 200957 | USA | Snowball sampling, listservs, web sites | Trans MSM | Female | 45 | Prevalence | None | HIV self-report, STI diagnosis ever, HPV, gonorrhea, chlamydia, herpes, trichomoniasis, bacterial vaginosis, hepatitis C, pelvic inflammatory disease, pubic lice |
South and Central America | ||||||||
Toibaro, 200958 | Buenos Aires, Argentina | Clinic-based recruitment | Patients at a clinic | Both | 4118 (105 transgender) | Prevalence | None | HIV seroprevalence, syphilis, drug use, alcohol use |
Carobene, 201459 | Argentina | Not specified | Trans sex workers | NS | 273 | Prevalence | None | HIV seroprevalence, HBV seroprevlance, HCV seroprevalence |
Socias, 201460 | Argentina | Snowball sampling and quota sampling | Transgender | Male | 452 | Prevalence | None | HIV self-report |
Rocha, 201361 | Brazil | Transvestite clinic case records | Transvestites | NS | 59 | Prevalence | None | Alcohol use, drug use |
Johnston, 201362 | Dominican Republic | Respondent-driven sampling | Gay, transsexuals, and MSM | Male | 1388 (83 transsexuals) | Adjusted odds ratio | Transsexual compared to MSM | HIV seroprevalence |
Aguayo, 201363 | Paraguay | NS | Transwomen | Male | 311 | Prevalence | None | HIV, syphilis |
Lipsitz, 201364 | Lima, Peru | Clinic-based recruitment | Men and transwomen | Male | 2717 (332 transwomen) | Prevalence | None | HIV seroprevalence |
Verre, 201465 | Peru | Peer outreach and snowball | MSM and transgender women | Male | 5148 (714 transgender) | Prevalence | None | HIV seroprevalence, syphilis seroprevalence |
Europe | ||||||||
Wierckx, 201366 | Ghent, Belgium | Clinic-based recruitment | Transgender persons diagnosed with GID and on cross-sex hormone therapy | Male | 214 | Cases/1000 persons | Transwomen compared to age matched women | Myocardial infarction, transient ischemic health attack, type 2 diabetes, |
Female | 138 | Cases/1000 persons | Transmen compared to age matched men | Type 2 diabetes, cancer | ||||
Auer, 201367 | Munich, Germany | Clinic based recruitment | Transsexuals with a diagnosis of GID, not in hormone therapy or undergone reassignment surgery | Female | 131 | Prevalence | None | Pubertal and menstrual irregularities, premature or delayed menarche, oligomenorrhea, polymenorrhea, amenorrhea, adrenal hyperplasia, polycystic ovary syndrome, hypogonadism, anorexia nervosa |
Male | 192 | Prevalence | None | Pubertal irregularities, delayed oigarche, cryptorchidism, no pubertal voice change | ||||
Judge, 201468 | Dublin, Ireland | Clinic-based recruitment | Patients with suspected or confirmed GID | Male | 159 | Prevalence | None | Hypertension, dyslipidemia, diabetes, depression, schizophrenia, bipolar affective disorder, self-harm/ suicide attempt, asthma, Asperger’s |
Female | 59 | Prevalence | None | Hypertension, dyslipidemia, diabetes, depression, schizophrenia, bipolar affective disorder, self-harm/ suicide attempt, asthma, Asperger’s | ||||
Manieri, 201469 | Torino, Italy | Clinic-based recruitment | Transgender subjects undergoing hormone therapy | Male | 56 | Prevalence | None | Obesity, hypercholesterolemia, hypertriglyceridemia, diabetes, metabolic syndrome, HIV seroprevalence, |
Female | 27 | Prevalence | None | Obesity, metabolic syndrome | ||||
Imbimbo, 200970 | Italy | Clinic-based recruitment | Male to female transsexuals who have undergone sexual reassignment surgery | Male | 139 | Prevalence | None | Contemplated suicide, attempted suicide |
Asscheman, 200971 | Amsterdam, Netherlands | Clinic based recruitment | Transsexuals on cross-sex hormones | Male | 966 | Adjusted Hazard Ratio; Standardized Mortality Ratio | Male to Female transsexual compared to the age and sex adjusted general population | Cardiovascular mortality; All-cause mortality, mortality from malignant neoplasm, AIDS, external causes, illicit drug use, suicide |
Female | 365 | Standardized Mortality Ratio | Female to male transsexual compared to the age and sex adjusted general population | Mortality from external causes, illicit drug use | ||||
de Vries, 201072 | Amsterdam, Netherlands | Clinic-based recruitment | Children and adolescents referred to Gender Identity Clinic | Both | 205 | Incidence | None | Autism spectrum disorder |
de Vries, 201173 | Amsterdam, Netherlands | Clinic-based recruitment | Adults and adolescents with a diagnosis of GID | Male Female |
207 adults, 43 adolescents | Prevalence | None | Depression, schizophrenia, hysteria, hypochondria, paranoia, psychopathic deviate, hypomania, other mental health outcomes |
86 adults, 40 adolescents | Prevalence | None | Depression, schizophrenia, hysteria, hypochondria, paranoia, psychopathic deviate, hypomania, other mental health outcomes | |||||
Almeida, 201474 | Lisbon, Portugal | Clinic-based recruitment | Sex workers | NS | 151 (20 transgender) | Prevalence | None | HIV seroprevalence |
Guzman-Parra, 201475 | Malaga, Spain | Clinic-based | Transsexuals | NS | 379 | Prevalence | None | Lifetime only cannabis use, lifetime only cocaine use, current cannabis use |
Hill, 201176 | London, UK | Clinic-based recruitment | Transgender sex workers | Both | 24 | Prevalence | None | HIV seroprevalence, syphilis, genital herpes, chlamydia-negative urethritis or proctitis, gonorrhea, chlamydia, hepatitis B, any STI |
Pasterski, 201477 | London, UK | Clinic-based recruitment | Adults with gender dysphoria or GID | Both | 91 | Prevalence | None | Autism spectrum disorder |
Davey, 201478 | England | Clinic-based recruitment | Individuals diagnosed with gender dysphoria and age and gender-matched controls | Both | 206 (103 transgender) | PWI mean score; SCL-90-R mean score; SF-36 v.2 mean score | Gender dysphoric | PWI total score; global severity index, somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, psychoneuroticism; mental health component summary, social functioning, role limitations due to emotional problems, mental health |
Claes, 201479 | United Kingdom | Clinic-based recruitment | Transsexuals | Male | 103 | Prevalence | None | Non-suicidal self-injury |
Female | 52 | Prevalence | None | Non-suicidal self-injury | ||||
Turner, 201480 | United Kingdom | Clinic-based recruitment | Persons who sell sex | Male | 96 (13 transgender) | Prevalence | None | Chlamydia, gonorrhea, genital warts |
Heylens, 201481 | Netherlands, Belgium, Germany Norway | Clinic-based recruitment | Adults seeking gender reassignment surgery | Both | 298 | Prevalence | None | One or more Axis 1 personality disorders, one or more Axis 2 personality disorders, affective disorders, anxiety disorders, substance-related disorders, eating disorders, psychotic disorders |
Central and South Asia | ||||||||
Kalra, 201382 | Mumbai, India | Clinic-based recruitment | Hijra (individuals who do not conform to the conventional notions of male or female gender) | Male | 50 (49 male, 1 female) | Prevalence | None | Depressive disorder, dysthymic disorder, alcohol abuse or dependence |
Arora, 201383 | New Delhi, India | NS | MSM and transgender women | Male | 65 (24 transgender) | Prevalence | None | Anal dysplasia |
Ramakrishnan, 201284 | Tamil Nadu, India | Probability-based | Transgender | Both | 807 | Prevalence | None | HIV seroprevalenece, lifetime syphilis |
Brahmam, 200885 | India | Probability-based | MSM and Hijra | Male | 4600 (575 Hijra) | Prevalence | None | HIV seroprevalence, syphilis seroprevalence, HSV-2 seroprevalence |
Aghabikloo, 201286 | Tehran, Iran | Clinic-based recruitment | Transsexuals with GID seeking sexual reassignment surgery | Female | 25 | Prevalence | None | Mood disorders, anxiety disorders, suicide attempts, substance-related disorder |
Male | 44 | Prevalence | None | Mood disorders, anxiety disorders, suicide attempts, substance-related disorder | ||||
Ahmadzad-Asl, 201387 | Tehran, Iran | Chart review | Transsexuals with a diagnosis of GID | Male | 138 | Prevalence | None | General medical condition co-morbidity; current smoker, psychiatric co-morbidity |
Female | 143 | Prevalence | None | General medical condition co-morbidity; current smoker, psychiatric co-morbidity | ||||
Javaheri, 201088 | Tehran, Iran | Clinic-based recruitment | Transsexuals | Both | 40 | Prevalence | None | Thought of committing suicide, suicide attempt |
Bhatta, 201489 | Nepal | Snowball/cha in referral and venue-based | Male to female transgender persons | Male | 232 | Prevalence | None | Alcohol in last 6 months, smoking in last 6 months |
Rehan, 201190 | Karachi and Lahore, Pakistan | Random sample of gurus | Hijras | Male | 400 | Prevalence | None | Extra-inguinal lymphadenopathy, urethral discharge, anal discharge, anal warts, anal tears, genital ulcers |
Emmanuel, 201391 | Pakistan | Peer referral | Key populations | Male | 16642 (3714 Hijra sex workers) | Prevalence | None | HIV seroprevalence, injected drugs in the past 6 months |
South East Asia | ||||||||
Chemnasiri, 201092 | Bangkok, Chaing Mai, Phuket, Thailand | Venue-day-time | MSM and transgender women | Male | 827 (241 transgender) | Prevalence | None | HIV seroprevalence, history of STIs, used alcohol ever, used drugs ever |
Gooren, 201593 | Thailand | Snowball sampling | Kathoeys (transgender women) | Male | 60 | Prevalence | None | Unprescribed hormone use |
Toms (transgender men) | Female | 60 | Prevalence; t-test | Using cross-sex hormones | Unprescribed hormone use; bodily harm, mental health | |||
Yadegarfard, 201394 | Thailand | Organization-based recruitment | Transgender | Male | 190 | MANOVA | Age, education, >10 sexual partners | PANSI-positive (Positive and Negative Suicide Ideation Inventory), PANSI-negative, depression, loneliness, HIV self-report |
Lai, 201095 | Taiwan | Recruitment letter sent | First year college students | Male | 2585 (49 gender dysphoric) | Odds ratio | Gender dysphoria compared to non-gender dysphoric | Generalized anxiety disorder, panic disorder, hypochondriasis, major depressive disorder, body dysmorphic disorder, schizoid personality, suicidal ideation, anxiety disorder, depressive disorder, other mental health disorders |
Female | 2615 (176 gender dysphoric) | Odds ratio | Gender dysphoria compared to non-gender dysphoric | Generalized anxiety disorder, hypochondriasis, major depressive disorder, body dysmorphic disorder, schizoid personality, suicidal ideation, anxiety disorder, depressive disorder, other mental health disorders | ||||
Oceania | ||||||||
Kelly, 201496 | Brisbane, Australia | Venue-based | LGBT youth | NS | 161 (24 transgender) | Prevalence | None | Alcohol, tobacco, any illicit drug use, poly-drug use, cannabis, stimulants, inhalants, prescription, medications, LSD, opiates, steroids |
Pell, 201197 | Sydney, Australia | Clinic-based recruitment | Transgender | Male | 141 | Prevalence | None | Mental health diagnosis, HIV, past or present intravenous drug use |
Female | 17 | Prevalence | None | Mental health diagnosis, past or present intravenous drug use | ||||
Boza, 201498 | Australia | Internet-based | Transgender identity | Both | 243 | Prevalence | None | Depressive symptoms, suicide attempt |
Clark, 201499 | New Zealand | Randomly selected high school recruitment | Students | NS | 8166 (96 transgender) | Adjusted odds ratio | Transgender compared with non-transgender | Significant depressive symptoms, self-harmed in last 12 months, attempted suicide |
Pitts, 2009100 | Australia and New Zealand | Internet based | Trans people | Both | 253 | Number and types of discrimination | Chi square; prevalence | Depression; thoughts of suicide or hurting self in past 2 weeks, thoughts of feeling down, depressed or hopeless, major depressive episode |
Multi-country | ||||||||
Becerra-Fernandez, 2014101 | Not specified-abstract | Not specified-abstract | Female to Male transsexuals prior to cross-sex hormone therapy | Female | 77 | Prevalence | None | Obesity, polycystic ovary syndrome, metabolic syndrome, hyperandrogenism |
Reisner, 2014102 | Latin America/Caribbean, Portugal, Spain | Internet based | MSM | Male | 35483 (158 MtF transgender) | Prevalence | None | Suicide attempt ever, depressive distress past week, HIV self-report, any STI past 12 months, syphilis, gonorrhea, chlamydia, HPV, genital herpes |
Female | 35483 (32 FtM transgender) | Prevalence | None | Suicide attempt ever, depressive distress past week, HIV self-report, any STI past 12 months, gonorrhea, HPV, genital herpes | ||||
Buchbinder, 2014103 | Brazil, Ecuador, Peru, South Africa | NS | MSM and transgender women | Male | 2499 (162 transgender women) | Prevalence, incidence | None | HIV seroprevalence |
Meier, 2013104 | 19 countries | Internet-based | Female to male transgender | Female | 503 | Contrast estimate | Attracted to both men and women | Anxiety |
Table 2. Transgender and Other Gender Minority Population Health Research on Stigma, Discrimination, Violence/ Victimization, and Sex Work Among 2008–2014 by Region, Country, and then Author. | ||||||||
Location | Sampling method | Sample | Assigned sex at birth | Sample size | Measure of prevalence/association | Significant associations | Health outcome measures | |
North America | ||||||||
Bauer, 2014105 | Ontario, Canada | Respondent-driven sampling | Trans emergency department patients | Male | 195 | RDS-weighted prevalence | None | Ever avoided emergency department because trans, negative emergency department experience, refused or ended care, hurtful or insulting language, refused to discuss trans concerns, told not really trans, discouraged from exploring gender, provider does not know enough to provide care, belittled or ridiculed, thought gender marker on ID was a mistake, refused to examine parts of body |
Female | 214 | RDS-weighted prevalence | None | Ever avoided emergency department because trans, negative emergency department experience, refused or ended care, hurtful or insulting language, refused to discuss trans concerns, told not really trans, discouraged from exploring gender, provider does not know enough to provide care, belittled or ridiculed, thought gender marker on ID was a mistake, refused to examine parts of body | ||||
McGuire, 2010106 | California, USA | Gay Straight Alliance organization-based recruitment | LGBT and allies students | NS | 2260 (68 transgender) | T-test | Transgender compared to non-transgender | Feeling unsafe at school |
Harawa, 2010107 | Los Angeles, USA | Random sample from prison census | MSM and male to female transgender inmates | Male | 101 (19 transgender) | Prevalence | None | Receiving money, protection, food, or other goods in exchange for sex |
Rohde Bowers, 201112 | Los Angeles County, USA | Venue based | High risk HIV prevention program attendees | Male | 1033 (320 transgender) | Prevalence | None | Exchange sex |
Hwahng, 201418 | New York, USA | Organization based, venue referrals, and internet | HIV uninfected male to female transgender | Male | 572 | Prevalence | None | Verbal gender abuse early adolescence, physical gender abuse early adolescence, verbal or physical gender abuse early adolescence, verbal gender abuse late adolescence, physical gender abuse late adolescence, verbal or physical gender abuse late adolescence |
Nuttbrock, 201022 | New York, USA | Organization based, venue referrals, internet advertisements | HIV uninfected male to female transgender | Male | 571 | Prevalence | None | Lifetime gender-related psychological abuse, lifetime gender-related physical abuse |
Nuttbrock, 201323 | New York, USA | Organization based, venue referrals, internet advertisements | HIV uninfected male to female transgender | Male | 230 | Adjusted odds ratio | Employment, sex work, transgender presentation, hormone therapy | Psychological gender abuse, physical gender abuse |
Nuttbrock, 201324 | New York, USA | Organization based, venue referrals, internet advertisements | HIV uninfected male to female transgender | Male | 230 | Prevalence | None | Psychological or physical gender abuse, psychological and physical gender abuse |
Reisner, 201016 | New England, USA | Venue-based | Transmen | Female | 16 | Prevalence | None | Sex work ever, internalized homophobia |
Rapues, 201332 | San Francisco, USA | Respondent-driven sampling | Male to female transgender | Male | 314 | Prevalence (RDS weighted) | None | Commercial sex work |
Sevelius, 200935 | San Francisco, USA | Clinic and location based | Transgender | Male | 153 | Prevalence | None | Sex work |
Wilson, 201437 | San Francisco, USA | Respondent-driven sampling | Transgender women | Male | 233 | Prevalence | None | Engagement in sex work |
Nemoto, 201438 | San Francisco and Oakland, USA | Purposive community sampling | Transgender women with a history of sex work | Male | 573 | Prevalence | Race | Sex work in past 6 months |
Brennan, 201239 | Chicago and Los Angeles, USA | Clinic-based, venue-based, and peer outreach and referral | Young transgender women | Male | 151 | Prevalence; point biserial correlations; beta | Intimate partner violence, unprotected anal intercourse, polysubstance use; syndemic index (low self-esteem, polysubstance use, victimization, intimate partner violence) | Victimization, intimate partner violence; history of sex work |
Bradford, 201340 | Virginia, USA | Internet and peer referral | Transgender | Both | 350 | Prevalence; Adjusted odds ratio | Suburban vs urban setting, FTM spectrum, racial/ethnic minority, education, low-income, living full time, age at transawareness, hormones, hormone therapy needed but not obtained past 3 months, counseling or psychotherapy needed but not obtained past 3 months, forced or unwanted sex, physically attacked, tobacco problem ever, drinking problem, family not supportive, being connected to the transgender community, hostility or insensitivity in school | Health care discrimination, employment discrimination; discrimination |
Benotsch, 201313 | Mid-Atlantic, USA | Clinic-based recruitment | Transgender | Both | 155 | Prevalence | Individuals reporting non-medical use of prescription drugs | Discrimination-gender identity |
Bockting, 201342 | USA | Internet -based | Transgender adults | Both | 1093 | Prevalence, beta | Non-white race/ethnicity, income, investment in passing, outness, age, transgender women compared to transgender men | Enacted stigma, felt stigma |
Cruz, 2014108 | USA | Internet based | Transgender participants from the National Discrimination Survey | Both | 4049 | Prevalence; odds ratio | Trans discrimination or both discrimination and affordability; male vs other identity, female vs male identity, female vs other identity, somewhat genderqueer identity, hormones, top surgery, bottom surgery main place seeking care,, no health insurance, income | Postponement of curative care due to discrimination |
Dank, 2014109 | USA | School-based recruitment | Students | NS | 5647 (18 transgender) | Prevalence | Transgender status | Physical dating violence, psychological dating abuse, cyber dating abuse, sexual coercion |
House, 201149 | USA | Internet-based | LGBT adults | Both | 1126 (164 transgender) | Prevalence | None | Interpersonal trauma, experiences of discrimination |
Kosciw, 2009110 | USA | Internet-based | Secondary school students | NS | 5420 (245 transgender) | Beta | Transgender identity compared to male identity | Victimization related to sexual orientation, victimization related to gender expression |
Mitchell, 2014111 | USA | Internet based | 13–18 year olds completing the Teen Health and Technology survey | Both | 5498 (189 transgender, 209 gender nonconforming or other gender) | Prevalence; adjusted conditional odds | Transgender vs cisgender male, gender nonconforming or other gender vs cisgender male | Sexual harassment (any mode, in-person, online, by text message, by phone call, some other way), made obscene or sexual comments, asked for sexual information, asked to do something sexual, touched grabbed or pinched, showed/sent obscene or sexual messages, intentionally brushed up against, spread sexual rumors, blocked/cornered; non-distressing sexual harassment; distressing sexual harassment |
Reisner, 201353 | USA | Brief intercept | Transmasculine | Female | 73 | Prevalence | None | Perceived discrimination by health care provider |
Reisner, 201454 | USA | Convenience sample | Transfeminine gender identity | Male | 3878 | Prevalence; risk ratio | Jail/prison time, mistreated/victimized in jail/prison, denied healthcare in jail/prison | Denied healthcare in jail, mistreated victimized in jail/prison; sex work, any physical assault, any sexual assault |
Reisner, 201455 | USA | Clinic-based | Participants from the Community Health Center Core Data Project | Both | 2653 (31 transgender) | Prevalence | Transgender | Childhood abuse, experienced intimate partner violence, any victimization as adult, verbally attacked, physically attacked, sexually harmed, any discrimination, employment discrimination, healthcare discrimination |
Ybarra, 2014112 | USA | Targeted online recruitment | LGBT youth | Both | 5542 (442 transgender) | Prevalence | None | Online peer victimization: bullying, in person peer victimization: bullying, online peer victimization: sexual harassment, in person peer victimization: harassment |
South and Central America | ||||||||
Marin, 2013113 | Argentina | Sexual Workers Union registration | Female sex workers and transvestites | NS | 950 (110 transgender) | Prevalence | None | Discrimination in health care |
Socias, 201460 | Argentina | Snowball sampling and quota sampling | Transgender | Male | 452 | Prevalence; chi square; adjusted odds ratio | Any internalized stigma, history of sex work, experienced police violence, ever arrested, perceived discrimination by healthcare workers, perceived discrimination by patients, current residency in Buenos Aires; extended health insurance | Sex work, healthcare avoidance because of transgender identity |
Delgado, 2014114 | Chile | Snowball | Gay men and transgender women | Male | 437 (121 transgender) | Prevalence | None | Not being hired or being fired, being denied access or permanence in a public place, poorly-assisted by public officials, not accepted or excluded from school, not accepted or excluded from a group of friends, molested or harassed by neighbors, not accepted or excluded from a social group, not accepted or excluded from family, not accepted or excluded from a religious environment, verbal or physical mistreatment or being denied help by the police |
Miller, 2011115 | Guatemala city, Guatemala | Respondent-driven sampling | MSM and transgender women | Male | 505 (99 transgender) | Prevalence | None | Transactional sex |
Europe | ||||||||
Prunas, 2014116 | Milan, Italy | Census | Transgender victims of transphobic murder | Male | 20 | Prevalence | None | Sex work, primary indicator of LGBT hate crime, secondary indicator of LGBT hate crime |
Central and South Asia | ||||||||
Brahmam, 200885 | India | Probability-based | MSM and Hijra | Male | 4600 (575 Hija) | Prevalence | None | Selling sex |
Javaheri, 201088 | Tehran, Iran | Clinic-based recruitment | Transsexuals | Both | 40 | Prevalence | None | Being discriminated against for being transsexual |
Oceania | ||||||||
Pell, 201197 | Sydney, Australia | Clinic-based recruitment | Transgender | Male | 141 | Prevalence | None | Past or present sex work |
Multi-country | ||||||||
Reisner, 2014102 | Latin America/Caribbean, Portugal, Spain | Internet based | MSM | Male | 35483 (158 MtF transgender) | Prevalence | None | Transactional sex past 12 months, childhood gender-related harassment, adulthood gender-related harassment |
Female | 35483 (32 FtM transgender) | Prevalence | None | Transactional sex past 12 months, childhood gender-related harassment, adulthood gender-related harassment |
GID=Gender identity disorder; NS=not specified; MSM=men who have sex with men.
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