Medical Education - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 6 of 6
  • Item
    Thumbnail Image
    SUN-039 Estradiol Dose and Concentrations in Transfeminine Individuals
    Nolan, BJ ; Brownhill, A ; Bretherton, I ; Wong, P ; Fox, S ; Locke, P ; Russell, ND ; Grossmann, M ; Zajac, JD ; Cheung, AS (The Endocrine Society, 2020-05)
    Abstract Background: Feminizing hormone therapy with estradiol is used to align an individual’s physical characteristics with their gender identity. Australian expert consensus guidelines (1) recommend targeting estradiol concentrations of 250-600 pmol/L (68-163 pg/mL) based on local cross-sectional data (2). We aimed to establish the proportion of individuals achieving estradiol concentrations in consensus guidelines. Methods: A retrospective cross-sectional analysis was performed of transfeminine individuals attending a primary or secondary care clinic in Melbourne, Australia who were prescribed oral estradiol valerate for at least 6 months and had estradiol dose and concentration available. Estradiol concentration was measured by immunoassay. Outcomes were (1) proportion of individuals achieving target estradiol concentrations and (2) influence of estradiol dose and BMI on estradiol concentrations. Results: 259 individuals (median age 25.8(IQR 21.9,33.5) years)) had data available for analysis. Median duration of estradiol therapy was 24(15,33) months. Median estradiol concentration was 328(238,434) pmol/L (89(65,118) pg/mL) on 6(4,8) mg estradiol valerate. 172 (66%) individuals had estradiol concentrations within the target range recommended in consensus guidelines. 70 (27%) individuals had estradiol concentrations below target, and 17 (7%) above target. There was a weak positive correlation between estradiol dose and estradiol concentration (r=0.156, p=0.012). There was no correlation between BMI and estradiol concentration achieved (r=-0.063, p=0.413). Conclusions: 66% of individuals achieved estradiol concentration recommended in consensus guidelines with a relatively high oral estradiol dose. There was significant interindividual variability. Estradiol concentration should be interpreted in conjunction with clinical features of feminization and weighed against potential risks of escalating estradiol dose. References 1. Cheung AS, Wynne K, Erasmus J, Murray S, Zajac JD. Position statement on the hormonal management of adult transgender and gender diverse individuals. Med J Aust 2019; 211:127-133 2. Angus L, Leemaqz SY, Ooi O, Cundill P, Silberstein N, Locke P, Zajac JD, Cheung AS. Cyproterone acetate or spironolactone in lowering testosterone concentrations for transgender individuals receiving estradiol therapy. Endocr Connect 2019
  • Item
    Thumbnail Image
    Factors associated with suicide attempts among Australian transgender adults
    Zwickl, S ; Wong, AFQ ; Dowers, E ; Leemaqz, SY-L ; Bretherton, I ; Cook, T ; Zajac, JD ; Yip, PSF ; Cheung, AS (BMC, 2021-02-08)
    BACKGROUND: Transgender, including gender diverse and non-binary people, henceforth referred to collectively as trans people, are a highly marginalised population with alarming rates of suicidal ideation, attempted suicide and self-harm. We aimed to understand the risk and protective factors of a lifetime history of attempted suicide in a community sample of Australian trans adults to guide better mental health support and suicide prevention strategies. METHODS: Using a non-probability snowball sampling approach, a total of 928 trans adults completed a cross-sectional online survey between September 2017 and January 2018. The survey assessed demographic data, mental health morbidity, a lifetime history of intentional self-harm and attempted suicide, experiences of discrimination, experiences of assault, access to gender affirming healthcare and access to trans peer support groups. Logistic regression was used to examine the risk or protective effect of participant characteristics on the odds of suicide. RESULTS: Of 928 participants, 85% self-reported a lifetime diagnosis of depression, 63% reported previous self-harm, and 43% had attempted suicide. Higher odds of reporting a lifetime history of suicide attempts were found in people who were; unemployed (adjusted odds ratio (aOR) 1.55 (1.05, 2.29), p = 0.03), had a diagnosis of depression (aOR 3.70 (2.51, 5.45), p < 0.001), desired gender affirming surgery in the future (aOR 1.73 (1.14, 2.61), p = 0.01), had experienced physical assault (aOR 2.01 (1.37, 2.95), p < 0.001) or experienced institutional discrimination related to their trans status (aOR 1.59 (1.14, 2.23), p = 0.007). CONCLUSION: Suicidality is associated with barriers to gender affirming care, gender based victimisation and institutionalised cissexism. Interventions to increase social inclusion, reduce transphobia and enable timely access to gender affirming care, particularly surgical interventions, are potential areas of intervention.
  • Item
    Thumbnail Image
    Insulin resistance in transgender individuals correlates with android fat mass
    Bretherton, I ; Spanos, C ; Leemaqz, SY ; Premaratne, G ; Grossmann, M ; Zajac, JD ; Cheung, AS (SAGE PUBLICATIONS LTD, 2021-01)
    BACKGROUND: Transgender individuals receiving gender-affirming hormone therapy (GAHT) are at increased risk of adverse cardiovascular outcomes. This may be related to effects on body composition and insulin resistance. AIMS: To examine relationships between body fat distribution and insulin resistance in transgender individuals on established GAHT. METHODS: Comparisons of body composition (dual energy X-ray absorptiometry) and insulin resistance [Homeostasis Model of Insulin Resistance (HOMA2-IR)] were made between transgender individuals (43 trans men and 41 trans women) on established GAHT (>12 months) and age-matched cisgender controls (30 males and 48 females). Multiple linear regressions were used to examine the relationship between HOMA2-IR and fat mass with gender, adjusting for age and total duration of GAHT and Pearson correlation coefficients are reported. RESULTS: Compared with control cisgender women, trans men had mean difference of +7.8 kg (4.0, 11.5), p < 0.001 in lean mass and higher android:gynoid fat ratio [0.2 (0.1, 0.3), p < 0.001], but no difference in overall fat mass or insulin resistance. Compared with control cisgender men, trans women had median difference in lean mass of -6.9 kg (-10.6, -3.1), p < 0.001, fat mass of +9.8 kg (3.9, 14.5), p = 0.001, lower android:gynoid fat ratio -0.1 (-0.2,-0.0), p < 0.05), and higher insulin resistance 1.6 (1.3-1.9), p < 0.001). Higher HOMA2-IR correlated with higher android (r 2 = 0.712, p < 0.001) and gynoid (r 2 = 0.572, p < 0.001) fat mass in both trans men and trans women. CONCLUSION: Android fat more strongly correlates with insulin resistance than gynoid fat in transgender individuals. Higher fat mass and insulin resistance in trans women may predispose to increased cardiovascular risk. Despite adverse fat distribution, insulin resistance was not higher in trans men.
  • Item
    Thumbnail Image
    The Health and Well-Being of Transgender Australians: A National Community Survey
    Bretherton, I ; Thrower, E ; Zwickl, S ; Wong, A ; Chetcuti, D ; Grossmann, M ; Zajac, JD ; Cheung, AS (MARY ANN LIEBERT, INC, 2021-01-01)
    Purpose: Transgender, including gender diverse and nonbinary (trans), people experience significant health disparities. We aimed to better understand the health status and needs of Australian trans people to guide resources and health and well-being programs. Methods: This anonymous, cross-sectional online survey utilized nonprobability snowball sampling of Australian adults (18 years and over) who self-identified as trans between September 2017 and January 2018. This descriptive study assessed demographic data, community views on access to health care, health burden, access to health resources, and priorities for government funding in transgender health. Results: Of 928 participants, 37% reported female, 36% reported male, and 27% reported nonbinary gender identities. Despite 47% having tertiary qualifications, the unemployment rate was 19%, with 33% reporting discrimination in employment due to being trans. Discrimination in accessing health care was reported by 26% and verbal abuse and physical assault were reported by 63% and 22%, respectively. Lifetime diagnosis of depression was reported by 73% and anxiety by 67%. Sixty-three percent reported previous self-harm and 43% had attempted suicide. Autism spectrum disorder and attention-deficit/hyperactivity disorder were reported by 15% and 11%, respectively. The most preferred method of receiving health information was through online resources, with the most popular source being Reddit, an online peer discussion board. Better training for doctors in trans health issues was the top priority for government funding. Conclusions: Barriers, including widespread discrimination and unemployment, contribute to health inequity and prevalent mental health conditions. Better training for health professionals in the provision of safe, gender-affirming and general health care for trans people is urgently required.
  • Item
    Thumbnail Image
    Relationships between body mass index with oral estradiol dose and serum estradiol concentration in transgender adults undergoing feminising hormone therapy
    Nolan, BJ ; Brownhill, A ; Bretherton, I ; Wong, P ; Fox, S ; Locke, P ; Russell, N ; Grossmann, M ; Zajac, JD ; Cheung, AS (SAGE PUBLICATIONS LTD, 2020-05)
    AIM: Feminising hormone therapy with estradiol is used to align an individual's physical characteristics with their gender identity. Given considerable variations in doses of estradiol therapy administered as gender-affirming hormone therapy (GAHT), we aimed to assess if body mass index (BMI) correlated with estradiol dose/concentration and assess the correlation between estradiol dose and estradiol concentrations. METHODS: In a retrospective cross-sectional study, we analysed transgender individuals attending a primary or secondary care clinic in Melbourne, Australia who were prescribed oral estradiol valerate for at least 6 months and had estradiol dose and concentration available. Estradiol concentration was measured by immunoassay. Outcomes were the correlation between estradiol dose and BMI, and estradiol dose and estradiol concentration. RESULTS: Data were available for 259 individuals {median age 25.8 [interquartile range (IQR) 21.9, 33.5] years}. Median duration of estradiol therapy was 24 (15, 33) months. Median estradiol concentration was 328 (238, 434) pmol/l [89 (65, 118) pg/ml] on 6 (4, 8) mg estradiol valerate. Median BMI was 24.7 (21.8, 28.6) kg/m2. There was a weak positive correlation between estradiol dose and estradiol concentration (r = 0.156, p = 0.012). There was no correlation between BMI and estradiol concentration achieved (r = -0.063, p = 0.413) or BMI and estradiol dose (r = 0.048, p = 0.536). Estradiol concentrations were within the target range recommended in consensus guidelines in 172 (66%) individuals. CONCLUSION: Estradiol dose was only weakly correlated with estradiol concentration, suggesting significant interindividual variability. Prescription of estradiol dose should not be based upon an individual's BMI, which did not correlate with estradiol concentration achieved. In all, 66% of individuals achieved estradiol concentrations recommended in Australian consensus guidelines with a relatively high oral estradiol dose.
  • Item
    Thumbnail Image
    Effects of gender-affirming hormone therapy on insulin resistance and body composition in transgender individuals: A systematic review
    Spanos, C ; Bretherton, I ; Zajac, JD ; Cheung, AS (BAISHIDENG PUBLISHING GROUP INC, 2020-03-15)
    BACKGROUND: Transgender individuals receiving masculinising or feminising gender-affirming hormone therapy with testosterone or estradiol respectively, are at increased risk of adverse cardiovascular outcomes, including myocardial infarction and stroke. This may be related to the effects of testosterone or estradiol therapy on body composition, fat distribution, and insulin resistance but the effect of gender-affirming hormone therapy on these cardiovascular risk factors has not been extensively examined. AIM: To evaluate the impact of gender-affirming hormone therapy on body composition and insulin resistance in transgender individuals, to guide clinicians in minimising cardiovascular risk. METHODS: We performed a review of the literature based on PRISMA guidelines. MEDLINE, Embase and PsycINFO databases were searched for studies examining body composition, insulin resistance or body fat distribution in transgender individuals aged over 18 years on established gender-affirming hormone therapy. Studies were selected for full-text analysis if they investigated transgender individuals on any type of gender-affirming hormone therapy and reported effects on lean mass, fat mass or insulin resistance. RESULTS: The search strategy identified 221 studies. After exclusion of studies that did not meet inclusion criteria, 26 were included (2 cross-sectional, 21 prospective-uncontrolled and 3 prospective-controlled). Evidence in transgender men suggests that testosterone therapy increases lean mass, decreases fat mass and has no impact on insulin resistance. Evidence in transgender women suggests that feminising hormone therapy (estradiol, with or without anti-androgen agents) decreases lean mass, increases fat mass, and may worsen insulin resistance. Changes to body composition were consistent across almost all studies: Transgender men on testosterone gained lean mass and lost fat mass, and transgender women on oestrogen experienced the reverse. No study directly contradicted these trends, though several small studies of short duration reported no changes. Results for insulin resistance are less consistent and uncertain. There is a paucity of prospective controlled research, and existing prospective evidence is limited by small sample sizes, short follow up periods, and young cohorts of participants. CONCLUSION: Further research is required to further characterise the impact of gender-affirming hormone therapy on body composition and insulin resistance in the medium-long term. Until further evidence is available, clinicians should aim to minimise risk by monitoring cardiovascular risk markers regularly in their patients and encouraging healthy lifestyle modifications.