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King WM, Gamarel KE, Fleischer NL, Radix AE, Poteat TC, Chatters LM, Operario D, Reisner SL, Wirtz AL. Racial/ethnic differences in the association between transgender-related U.S. state policies and self-rated health of transgender women. BMC Public Health 2024; 24:911. [PMID: 38539112 PMCID: PMC10976742 DOI: 10.1186/s12889-024-18317-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 03/09/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND Policy protections for transgender adults in the United States are consistently associated with positive health outcomes. However, studies over-represent non-Latinx White transgender people and obscure variation in policies' intended goals. This study examined racial differences in the relationship between transgender-related policies and transgender women's self-rated health. Guided by Critical Race Theory, we hypothesized that policies conferring access to resources (e.g., healthcare) would be associated with better self-rated health among all participants while policies signifying equality (e.g., nondiscrimination laws) would be associated with better self-rated health only for White participants. METHODS Using cross-sectional data collected between March 2018-December 2020 from 1566 transgender women, we analyzed 7 state-level 'access policies,' 5 'equality policies,' and sum indices of each. Participants represented 29 states, and 54.7% were categorized as people of color. We fit a series of multilevel ordinal regression models predicting self-rated health by each policy. Multivariate models were adjusted for relevant covariates at the individual- and state-level. We then tested moderation by race/ethnicity using interaction terms and generated stratified predicted probability plots. RESULTS In bivariate models, 4 access policies, 2 equality policies, and both indices were associated with better self-rated health, but associations did not persist in adjusted models. Results from the multivariable models including interaction terms indicated that policies concerning private insurance coverage of gender-affirming care, private insurance nondiscrimination, credit nondiscrimination, and both indices were statistically significantly associated with better self-rated health for White participants and worse self-rated health for participants of color. CONCLUSIONS The policies included in this analysis do not mitigate racism's effects on access to resources, indicating they may be less impactful for transgender women of color than White transgender women. Future research and policy advocacy efforts promoting transgender women's health must center racial equity as well as transgender people of color's priorities.
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Affiliation(s)
- Wesley M King
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
| | - Kristi E Gamarel
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Nancy L Fleischer
- Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Asa E Radix
- Callen-Lorde Community Health Center, 356 West 18th Street, New York, NY, 10011, USA
| | - Tonia C Poteat
- Duke University School of Nursing, Box 3322 DUMC, Durham, NC, 27710, USA
| | - Linda M Chatters
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
- University of Michigan School of Social Work, 1080 South University Avenue, Ann Arbor, MI, 48109, USA
| | - Don Operario
- Department of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA
| | - Sari L Reisner
- Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Andrea L Wirtz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD, 21205, USA
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Wolfe HL, Hughto JMW, Quint M, Hashemi L, Hughes LD. Hepatitis C Virus Testing and Care Cascade Among Transgender and Gender Diverse Individuals. Am J Prev Med 2023; 64:695-703. [PMID: 36759228 PMCID: PMC10121731 DOI: 10.1016/j.amepre.2023.01.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 02/10/2023]
Abstract
INTRODUCTION Hepatitis C virus (HCV) prevalence among transgender and gender-diverse individuals ranges from 1.8% to 15.7% versus 1% in the general population. Previous HCV studies inclusive of transgender and gender-diverse individuals primarily rely on convenience-based sampling methods or are geographically restricted. The purpose of this study is to compare the prevalence of HCV diagnoses, testing, and care engagement between transgender and gender-diverse and cisgender individuals. METHODS Using Optum's de-identified Clinformatics® Data Mart Database, in 2022, the unadjusted prevalence of HCV testing among all adults and people who inject drugs from January 2001 to December 2019 was measured. Multivariable logistic regression was used to compare the adjusted odds of HCV diagnoses and care engagement by gender subgroup. RESULTS The overall unadjusted frequency of HCV diagnoses among transgender and gender-diverse individuals was approximately 3 times that of cisgender individuals (1.06% vs 0.38%, p<0.001), including among people who inject drugs (6.36% vs 2.36%, p=0.007). Compared with cisgender women, transfeminine/nonbinary individuals had over 5 times the adjusted odds of a HCV diagnosis and approximately 3.5 times the odds of being tested for HCV. In addition, compared with cisgender women, transfeminine/nonbinary individuals had significantly increased odds of having a HCV‒related procedure (e.g., abdominal ultrasounds, liver biopsies, Fibroscans). Cisgender men had significantly increased odds of receiving HCV medication compared with cisgender women. CONCLUSIONS Although testing was higher among transgender and gender-diverse individuals, the higher overall frequency of HCV diagnoses among transgender and gender-diverse than among cisgender individuals signals persistent health disparities. Interventions are warranted to prevent HCV and increase ongoing testing and treatment uptake among transgender and gender-diverse populations.
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Affiliation(s)
- Hill L Wolfe
- Department of Health Law, Policy & Management, School of Public Health, Boston University, Boston, Massachussetts.
| | - Jaclyn M W Hughto
- Center for Health Promotion and Health Equity, School of Public Health, Brown University, Providence, Rhode Island; Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, Rhode Island; Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island; The Fenway Institute, Fenway Health, Boston, Massachussetts
| | - Meg Quint
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachussetts
| | - Leila Hashemi
- Division of Primary Care, Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, California; David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Landon D Hughes
- Department of Health Behavior & Health Education, School of Public Health, University of Michigan, Ann Arbor, Michigan; Institute for Social Research, University of Michigan, Ann Arbor, Michigan
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Cheung AS, Nolan BJ, Zwickl S. Transgender health and the impact of aging and menopause. Climacteric 2023; 26:256-262. [PMID: 37011669 DOI: 10.1080/13697137.2023.2176217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Gender affirming hormone therapy (GAHT) is used by many transgender people to reduce gender incongruence and improve psychological functioning. As GAHT shares many similarities with menopausal hormone therapy, clinicians supporting people through menopause are ideally placed to manage GAHT. This narrative review provides an overview of transgender health and discusses long-term effects of GAHT to consider when managing transgender individuals across the lifespan. Menopause is less relevant for transgender individuals who take GAHT (often given lifelong) to achieve sex steroid concentrations generally in the range of the affirmed gender. For people using feminizing hormone therapy, there is an elevated risk of venous thromboembolism, myocardial infarction, stroke and osteoporosis relative to cisgender individuals. For trans people using masculinizing hormone therapy, there is an increased risk of polycythemia, probable higher risk of myocardial infarction and pelvic pain which is poorly understood. Proactive mitigation of cardiovascular risk factors is important for all transgender people and optimization of bone health is important for those using feminizing hormones. With a lack of research to guide GAHT in older age, a shared decision-making approach is recommended for the provision of GAHT to achieve individual goals whilst minimizing potential adverse effects.
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Affiliation(s)
- A S Cheung
- Trans Health Research Group, Department of Medicine (Austin Health), The University of Melbourne, Melbourne, Australia
- Department of Endocrinology, Austin Health, Heidelberg, Australia
| | - B J Nolan
- Trans Health Research Group, Department of Medicine (Austin Health), The University of Melbourne, Melbourne, Australia
- Department of Endocrinology, Austin Health, Heidelberg, Australia
| | - S Zwickl
- Trans Health Research Group, Department of Medicine (Austin Health), The University of Melbourne, Melbourne, Australia
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Hughto JMW, Varma H, Babbs G, Yee K, Alpert A, Hughes L, Ellison J, Downing J, Shireman TI. Disparities in health condition diagnoses among aging transgender and cisgender medicare beneficiaries, 2008-2017. Front Endocrinol (Lausanne) 2023; 14:1102348. [PMID: 36992801 PMCID: PMC10040837 DOI: 10.3389/fendo.2023.1102348] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 02/21/2023] [Indexed: 03/14/2023] Open
Abstract
INTRODUCTION The objective of this research is to provide national estimates of the prevalence of health condition diagnoses among age-entitled transgender and cisgender Medicare beneficiaries. Quantification of the health burden across sex assigned at birth and gender can inform prevention, research, and allocation of funding for modifiable risk factors. METHODS Using 2009-2017 Medicare fee-for-service data, we implemented an algorithm that leverages diagnosis, procedure, and pharmacy claims to identify age-entitled transgender Medicare beneficiaries and stratify the sample by inferred gender: trans feminine and nonbinary (TFN), trans masculine and nonbinary (TMN), and unclassified. We selected a 5% random sample of cisgender individuals for comparison. We descriptively analyzed (means and frequencies) demographic characteristics (age, race/ethnicity, US census region, months of enrollment) and used chi-square and t-tests to determine between- (transgender vs. cisgender) and within-group gender differences (e.g., TMN, TFN, unclassified) difference in demographics (p<0.05). We then used logistic regression to estimate and examine within- and between-group gender differences in the predicted probability of 25 health conditions, controlling for age, race/ethnicity, enrollment length, and census region. RESULTS The analytic sample included 9,975 transgender (TFN n=4,198; TMN n=2,762; unclassified n=3,015) and 2,961,636 cisgender (male n=1,294,690, female n=1,666,946) beneficiaries. The majority of the transgender and cisgender samples were between the ages of 65 and 69 and White, non-Hispanic. The largest proportion of transgender and cisgender beneficiaries were from the South. On average, transgender individuals had more months of enrollment than cisgender individuals. In adjusted models, aging TFN or TMN Medicare beneficiaries had the highest probability of each of the 25 health diagnoses studied relative to cisgender males or females. TFN beneficiaries had the highest burden of health diagnoses relative to all other groups. DISCUSSION These findings document disparities in key health condition diagnoses among transgender Medicare beneficiaries relative to cisgender individuals. Future application of these methods will enable the study of rare and anatomy-specific conditions among hard-to-reach aging transgender populations and inform interventions and policies to address documented disparities.
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Affiliation(s)
- Jaclyn M. W. Hughto
- Center for Health Promotion and Health Equity, Brown University School of Public Health, Providence, RI, United States
- Departments of Behavioral and Social Sciences and Epidemiology, Brown University School of Public Health, Providence, RI, United States
- The Fenway Institute, Fenway Health, Boston, MA, United States
- *Correspondence: Jaclyn M. W. Hughto,
| | - Hiren Varma
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, Providence, RI, United States
- Department of Health Services Policy & Practice, Brown University School of Public Health, Providence, RI, United States
| | - Gray Babbs
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, Providence, RI, United States
- Department of Health Services Policy & Practice, Brown University School of Public Health, Providence, RI, United States
| | - Kim Yee
- Oregon Health & Science University - Portland State University School of Public Health, Portland, OR, United States
| | - Ash Alpert
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, Providence, RI, United States
- Department of Health Services Policy & Practice, Brown University School of Public Health, Providence, RI, United States
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, United States
| | - Landon Hughes
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, United States
- Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
| | - Jacqueline Ellison
- Department of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States
- Center for Innovative Research on Gender Health Equity (CONVERGE), University of Pittsburgh Department of Medicine, Pittsburgh, PA, United States
| | - Jae Downing
- Oregon Health & Science University - Portland State University School of Public Health, Portland, OR, United States
| | - Theresa I. Shireman
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, Providence, RI, United States
- Department of Health Services Policy & Practice, Brown University School of Public Health, Providence, RI, United States
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Soled KRS, Clark KD, Altman MR, Bosse JD, Thompson RA, Squires A, Sherman ADF. Changing language, changes lives: Learning the lexicon of LGBTQ+ health equity. Res Nurs Health 2022; 45:621-632. [PMID: 36321331 PMCID: PMC9704510 DOI: 10.1002/nur.22274] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Kodiak R. S. Soled
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Kristen D. Clark
- Department of Nursing, University of New Hampshire, Durham, New Hampshire, USA
| | - Molly R. Altman
- Department of Child, Family, and Population Health Nursing, University of Washington, Seattle, Washington, USA
| | - Jordon D. Bosse
- School of Nursing, Northeastern University, Boston, Massachusetts, USA
| | - Roy A. Thompson
- Sinclair School of Nursing, University of Missouri, Colombia, Missouri, USA
| | - Allison Squires
- Rory Meyers College of Nursing, New York University, New York City, New York, USA
| | - Athena D. F. Sherman
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA
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