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Figure.  Temporal Trends in Mental Health Outcomes
Temporal Trends in Mental Health Outcomes

Outcomes are estimated from bivariate and multivariable generalized estimating equation models. aOR, indicates adjusted odds ratio; GAD-7, Generalized Anxiety Disorder 7-item scale; PHQ-9, Patient Health Questionnaire 9-item scale; whiskers, 95% CIs.

Table 1.  Participant Characteristics
Participant Characteristics
Table 2.  Baseline Factors Associated With Mental Health Outcomes in Bivariate Models
Baseline Factors Associated With Mental Health Outcomes in Bivariate Models
Table 3.  Temporal Trends in Mental Health Outcomes in Multivariable Model 1a
Temporal Trends in Mental Health Outcomes in Multivariable Model 1a
Table 4.  Association Between GAHs or PBs and Mental Health Outcomes in Multivariable Model 2a
Association Between GAHs or PBs and Mental Health Outcomes in Multivariable Model 2a
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8 Comments for this article
EXPAND ALL
Selection of cohorts is influenced by the same factors as the measured outcome variables.
Brett Kelly, BSEE | Department of Defense
Care for transgender youth should ostensibly follow the WPATH guidelines for initiating care, which state that coexisting mental health concerns (eg. anxiety, depression) must be "reasonably well controlled" as a prerequisite for hormone therapy.

For this study, two cohorts are compared: those who have been exposed to puberty blockers (PBs) and gender-affirming hormones (GAHs) (intervention group) and those who have not (control group). The mental health outcomes evaluated by this model are depression, suicidality and generalized anxiety. If their care does follow WPATH guidelines, any patients with uncontrolled coexisting mental concerns should not receive PB and GAH treatments; if they
do receive mental health interventions, they are moved from one cohort to the other. These cohorts are not independent. Additionally, patients with coexisting mental concerns may have been potentially discouraged from accepting the treatments until their coexisting conditions were addressed.

Therefore, these mental health conditions are used as criteria for selecting which cohort participants were moved to, likely confounding the results.

CONFLICT OF INTEREST: None Reported
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Author Response
Diana Tordoff, MPH, PhDc | University of Washington, Department of Epidemiology
Before responding to the reviewer’s primary comment regarding confounding, we would like to clarify that our study design did not compare two cohorts, as suggested by the above comment. Rather, we examined temporal trends within a single cohort of youth with a time-varying exposure variable. To do this, we employed generalized estimating equations, which is a common statistical approach for estimating the association between a time-varying exposure variable (in our study, PB/GAH) on a repeated outcome measure (in our study, mental health symptoms). This statistical model estimates the average population-level effect of the exposure on the outcome and accounts for correlations between binary outcomes across time within the same individual. In our study, this approach allowed us to compare outcomes among youth who received PB/GAH to those who have not (yet) received PB/GAH at each timepoint. (See Cook et al. Curr HIV Res. 2016;14(2):85-92)

The above comment raises another question related to confounding by indication. Confounding by indication occurs when a variable is both associated with the outcome as well as receipt of the intervention/treatment interest, without being on the causal pathway. The above comment specifically raises the question of uncontrolled confounding by mental health concerns that are not “reasonably well controlled”, which may be associated with both depression, anxiety, or suicidality (outcomes) as well as the receipt of PB/GAH (intervention). In our analysis, there is minimal risk of such confounding for three primary reasons: (1) the clinical procedures at the time of the study, (2) empirical evidence, (3) statistical modeling approaches. These are each discussed below in Part 2 of our response.

First, the WPATH SOC7 are flexible clinical guidelines intended to “meet the diverse health care needs” of transgender people. Thus, the implementation of these criteria varies across multidisciplinary clinics, with some providers opting to provide gender-affirming care using an informed consent model. At the time of our study, minor youth at our clinic completed a mandatory biopsychosocial mental health assessment prior being prescribed PB/GAH, after which decision making around whether to initiate PB/GAH was made collaboratively with the youth, their caregivers, mental health providers, and an adolescent medicine physician. Youth who were age 18 or older were provided care using an informed consent model and were not required to complete a mental health assessment. In practice, the only instances when it would have been appropriate to delay initiation of PB/GAH is if there was a concern that a patient did not have the capacity to provide informed consent (which is exceedingly rare in adolescence). Therefore, youth who reported moderate to severe depression, anxiety, or suicidal thoughts were not precluded access to PB/GAH, especially since initiating PB/GAH is known to improve or mitigate these symptoms. Youth who reported severe mental health symptoms were linked to mental health and psychiatric support through the clinics multidisciplinary care model. These practices are consistent with updated guidance from the draft WPATH SOC8 guidelines, which state that for youth experiencing acute suicidality, self-harm, or other mental health crises, “safety-related interventions should not preclude starting gender-affirming care” and that “while addressing mental health concerns is important, it does not mean that all mental health challenges can or should be resolve completely” (Adolescent Chapter, 12D Mental Health Concerns).

Second, we have empirical evidence that there were not significant differences in the prescription of PB/GAH by baseline mental health. We observed that a similar proportion of youth with poor mental health symptoms at baseline received PB/GAH during follow-up compared to youth who didn’t report these symptoms. Specifically, there were no significant differences in receipt of PB/GAH during our study follow-up period among youth with and without moderate to severe depression (64% v. 76%, p-value = 0.234); with and without moderate to severe anxiety (67% v. 71%, p-value = 0.703); and with and without self-harm or suicidal thoughts (62% v. 75%, p-value = 0.185) at baseline. Although we observed that youth with poor mental health at baseline were slightly less likely to be prescribed PB/GAH during our study, these difference were small in magnitude (4-13 percentage points) and were not statistically significant.

Last, as described in the methods and tables, we statistically adjusted for baseline mental health in all regression models in order to control for potential confounding by mental health symptoms at the time of their first medical appointment. Although residual confounding is always threat to internal validity in observational cohort studies, our sensitivity analysis of the E-value suggest that our estimates are robust to moderate to high levels of residual confounding (Supplemental Content).
CONFLICT OF INTEREST: Diana Tordoff is the first author of the publication and receives grants from the National Institutes of Health National Institute of Allergy and Infectious Diseases unrelated to the present work and outside the submitted work.
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Evidence Base?
Alison Clayton, MBBS | School of Historical and Philosophical Studies, Faculty of Arts, The University of Melbourne, Melbourne, Victoria, Australia
In their introduction, Tordoff et al. claim that there is a “robust evidence base” to support gender-affirming medical care in minors, citing six papers to support their claim. However, I do not think the cited sources do support this claim of a robust evidence base.

Two review articles are cited. The first of these, Chew et al. (2018), concluded that evidence to support psychosocial impacts of hormonal treatments for adolescents is lacking.

The second review, Mahfouda et al. (2019), concluded that the evidence is similarly scarce, particularly for long-term psychological outcomes. Both these reviews describe the reviewed
studies as mostly providing only short-term follow-up data, and were subject to medium to high risk of bias.

The key primary studies cited by Tordoff et al. (de Vries et al., 2011 and 2014; Turban et al., 2020), have study designs that provide low certainty evidence and are unable to demonstrate causal associations (1-3). Furthermore, in the de Vries et al. study the gender affirming surgery was only undertaken at 18 years of age or older. Thus, this study does not give us any information on such surgery in minors.

In sum, the literature cited by Tordoff and colleagues does not support their claim of a robust evidence base for gender-affirming medical and surgical treatments for minors, rather it highlights the scarce and low-quality evidence underpinning this treatment approach.

References:

1. National Institute for Health and Care Excellence (NICE). (2020). Evidence Review: Gonadotrophin releasing hormone analogues for children and adolescents with gender dysphoria. Available from: http://evidence.nhs.uk

2. National Institute for Health and Care Excellence (NICE). (2020). Evidence Review: Gender affirming hormones for children and adolescents with gender dysphoria. Available from: http://evidence.nhs.uk

3. Clayton A, Malone WJ, Clarke P, Mason J, D'Angelo R. Commentary: The Signal and the Noise-questioning the benefits of puberty blockers for youth with gender dysphoria-a commentary on Rew et al. (2021). Child Adolesc Ment Health. 2021 Dec 22. doi:10.1111/camh.12533. Epub ahead of print. PMID: 34936180.

CONFLICT OF INTEREST: None Reported
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Author Response Re: "Evidence base?"
Diana Tordoff, MPH, PhDc | University of Washington, Department of Epidemiology
We disagree with the commenter’s summary of the literature and provide the following references in support of our stated position in this paper. Notable, the two reviews cited do not include studies 1-11 referenced below, and therefore, their conclusions do not consider the full evidence-base.

1. Turban et al. (2022). Access to gender-affirming hormones during adolescence and mental health outcomes among transgender adults. PLoS One, 17(1), e0261039.
2. Green et al. (2021). Association of gender-affirming hormone therapy with depression, thoughts of suicide, and attempted suicide among transgender and nonbinary youth. Journal of Adolescent Health.
3. Hisle-Gorman et al. (2021).
Mental healthcare utilization of transgender youth before and after affirming treatment. The Journal of Sexual Medicine, 18(8), 1444-1454.
4. Grannis et al. (2021). Testosterone treatment, internalizing symptoms, and body image dissatisfaction in transgender boys. Psychoneuroendocrinology, 132, 105358.
5. Turban et al. (2020). Pubertal suppression for transgender youth and risk of suicidal ideation. Pediatrics, 145(2).
6. Kuper et al. (2020). Body dissatisfaction and mental health outcomes of youth on gender-affirming hormone therapy. Pediatrics, 145(4).
7. Achille et al. (2020). Longitudinal impact of gender-affirming endocrine intervention on the mental health and well-being of transgender youths: preliminary results. International Journal of Pediatric Endocrinology, 2020(1), 1-5.
8. van der Miesen et al. (2020). Psychological functioning in transgender adolescents before and after gender-affirmative care compared with cisgender general population peers. Journal of Adolescent Health, 66(6), 699-704.
9. de Lara et al. (2020). Psychosocial assessment in transgender adolescents. Anales de Pediatría, 93(1), 41-48.
10. Kaltiala et al. (2020). Adolescent development and psychosocial functioning after starting cross-sex hormones for gender dysphoria. Nordic Journal of Psychiatry, 74(3), 213-219.
11. Allen et al. (2019). Well-being and suicidality among transgender youth after gender-affirming hormones. Clinical Practice in Pediatric Psychology, 7(3), 302.
12. Costa et al. (2015). Psychological support, puberty suppression, and psychosocial functioning in adolescents with gender dysphoria. The Journal of Sexual Medicine, 12(11), 2206-2214.
13. de Vries et al. (2014). Young adult psychological outcome after puberty suppression and gender reassignment. Pediatrics, 134(4), 696-704.
14. de Vries et al. (2011). Puberty suppression in adolescents with gender identity disorder: A prospective follow‐up study. The Journal of Sexual Medicine, 8(8), 2276-2283.
CONFLICT OF INTEREST: Diana Tordoff is the first author of the publication and receives grants from the National Institutes of Health National Institute of Allergy and Infectious Diseases unrelated to the present work and outside the submitted work.
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NICE Evidence Review on Gender-Affirming Hormones
James Thornhill, MA, PhD | Private Citizen
In her 21 March author response Dr Tordoff writes that "the two reviews [references 13 and 16] do not include studies 1-11 referenced below, and therefore their conclusions do not consider the full evidence-base." Dr Tordoff is referring here to two evidence reviews undertaken by the UK's National Institute for Health and Care Evidence (NICE).

However, the NICE evidence review on gender affirming hormones included 5 of the 11 studies in Dr Tordoff's list (numbers 6, 7, 9, 10 and 11). These five studies are cited in its executive summary and, collectively, two hundred and fifty three times
throughout in the review. The NICE evidence review considered only ten studies, so these five represent a significant portion of the entire thing.

 

 

CONFLICT OF INTEREST: Member of the NHS working group that commissioned the NICE evidence review
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Two Concerns
Paul Thompson, PhD, PSTAT(R) | Department of Pediatrics, Sanford School of Medicine, University of South Dakota
The recent study (Tordoff et al, 2022) of medication and depression/anxiety over time is concerning on 2 grounds.

Concern 1: Issues with the analysis methods

The results are stated as “After adjusting for temporal trends and potential confounders (Table 4), we observed that youths who had initiated PBs or GAHs had 60%lower odds of moderate to severe depression (aOR, 0.40; 95%CI, 0.17-0.95) and 73% lower odds of self-harm or suicidal thoughts (aOR, 0.27; 95%CI, 0.11-0.65) compared with youths who had not yet initiated PBs or GAHs” (p. 6). The exact “potential confounders” are not identified in the
paper.

To increase understanding of the processes of the study, the constraints of Table e3 (Supplementary Materials) were used to define a simulation, which used the counts of “severe depression” and medicated-unmedicated counts to generate a random permutation of those values in the baseline, 3m, 6m, and 12m points. A random binary “potential confounder” was also generated. 5000 “plies” of the random data were generated, which were exact matches of the counts in Table e3. Using SAS PROC GENMOD (GEE analysis in SAS), the data were analyzed with and without the confounder. For the model without confounder, 0/5000 were significant; there is no difference in 5000 samples at 12 M between med and unmed cases controlling for baseline. Using the random confounder, 11/5000 showed a significant aOR of a value similar to that from the Tordoff paper. In 7 of these 11 cases, the confounder showed a significant change from baseline to 12m comparing med and unmed cases. This suggests that a primary outcome variable which is not significant can be made to seem significant if a confounder which changed a lot is used in the analysis.

Concern 2: Reconsent/reassent status

In the abstract, it is stated that “By the end of the study, 69 youths (66.3%) had received PBs, GAHs, or both interventions, while 35 youths had not received either intervention (33.7%)”. Also the following sentence appears: “The 12-month assessment was funded via a different mechanism than other survey time points; thus, participants were reconsented for the 12-month survey.” (p. 6-7) However, no indication is given that all 104 cases signed consent/assent statements. Did all 104 youth sign reconsent/reassent forms prior to the publication of Tordoff et al and prior to the 12 M survey?

References

Tordoff DM, Wanta JW, Collin A, Stepney C, Inwards-Breland DJ, Ahrens K. Mental health outcomes in transgender and nonbinary youths receiving gender-affirming care. JAMA Netw Open. 2022;5(2):e220978. doi:10.1001/jamanetworkopen.2022.0978
CONFLICT OF INTEREST: None Reported
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Author Response to Dr. Thompson
Diana Tordoff, PhD, MPH | Stanford University School of Medicine
I am pleased to respond to Dr. Thompson's questions and concerns.

Re: Concern 1: As stated on page 4, “We initially estimated bivariate associations between potential confounders and mental health outcomes. Multivariable models included variables that were statistically significant in bivariate models.” All potential confounders that we considered are included in Table 2, which present the results of the bivariate analyses.

Dr. Thompson suggests that inclusion of a time-varying confounder could induce an association, or more specifically that “a primary outcome variable which is not significant can be made to seem significant if a confounder which changed
a lot is used in the analysis.” 

First, time-varying confounder variables should not be included in GEE models, since their inclusion can produce biased estimates [1]. Because of this well-known statistical feature of GEE, we did not include any time-varying confounders in our models; rather, we only included baseline measurements as potential confounding variables (e.g. they did not vary at 3, 6, and 12 months). More complex methods that require large sample sizes (much larger than n=104) are needed to adjust for time-varying confounding in observational data (e.g., the parametric G formula or marginal structural models) [2]. Overall, the potential confounders we considered changed minimally over the 12-month study period, which leads us to believe that our approach introduces minimal information bias into our estimates.

Second, Dr. Thompson’s sensitivity analyses appear to have significant methodological limitations. Notably, he states that he is not able to replicate the aOR we estimated in our bivariate model using his simulated data, which is a critical first step needed to subsequently model the impact of a hypothetical confounder. This suggests that his simulated data is a poor approximation to our actual study data, and any subsequent inference would not be valid. He also does not state the strength of association his hypothetical confounder has with both the exposure and the outcome, a key piece of information needed to evaluate the feasibility of his sensitivity analyses and the true risk of bias [3].

Lastly, we have already conducted sensitivity analyses to explore how vulnerable our findings are to residual confounding (see page 4 of the Manuscript and page 7 of the Supplementary Materials) and described “sensitivity analyses that suggest that these findings are robust to moderate levels of unmeasured confounding. Specifically, E-values calculated for this study suggest that the observed associations could be explained away only by an unmeasured confounder that was associated with both PBs and GAHs and the outcomes of interest by a risk ratio of 2-fold to 3-fold each, above and beyond the measured confounders, but that weaker confounding could not do so” (page 10).

Re: Concern 2: As stated in the methods section (page 2) participants provided consent/assent prior to completing the baseline survey. In addition, for youths who participated in the 12-month survey, consent/assent was collected again prior to their participation in the 12-month survey. This is not incongruent with our statement in the abstract: The 69 youths who had ever received PB and/or GAH include participants who were retained in the study through the 12-month survey as well as participants who only completed the 6-month survey and were subsequently lost to follow-up.

References:

[1] Mansournia MA, Etminan M, Danaei G, Kaufman JS, Collins G. Handling time varying confounding in observational research. BMJ 2017; 359 :j4587 doi:10.1136/bmj.j4587

[2] Daniel RM, Cousens SN, De Stavola BL, Kenward MG, Sterne JA. Methods for dealing with time-dependent confounding. Stat Med. 2013 Apr 30;32(9):1584-618. doi: 10.1002/sim.5686.

[3] Lash TL, Fox MP, MacLehose RF, Maldonado G, McCandless LC, Greenland S. Good practices for quantitative bias analysis. Int J Epidemiol. 2014;43(6):1969-85. doi: 10.1093/ije/dyu149.

CONFLICT OF INTEREST: Diana Tordoff is the first author of the publication and receives grants from the National Institutes of Health and National Institute of Allergy and Infectious Diseases unrelated to the present work and outside the submitted work.
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Bridging Gaps in Understanding Gender-Affirming Care's Holistic Impact on Mental Health
Anaya Abdul Samad, MBBS | Bolan Medical College, Quetta
The study provides valuable insights into the mental health outcomes of transgender and non-binary (TNB) youths receiving gender-affirming care. While the study acknowledges limitations related to selection bias and lack of diversity within the sample population, it does not address an important gap in understanding the holistic impact of gender-affirming care on mental health outcomes.

One notable aspect that remains unexplored is the potential influence of lifestyle factors, such as body mass index (BMI), physical activity, and diet, on depression and anxiety outcomes among TNB individuals. Prior research has shown a link between these factors and managing mental health
conditions, regardless of gender identity. While this study sheds light on the positive association between gender-affirming care and improved mental health outcomes among TNB youths, there is no information about the changes in BMI, diet or physical activity of the subjects involved.

Incorporating measures of lifestyle factors in future studies could provide a more comprehensive understanding of the influence of puberty blockers or GAH on mental health of TNB individuals.
CONFLICT OF INTEREST: None Reported
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Original Investigation
Pediatrics
February 25, 2022

Mental Health Outcomes in Transgender and Nonbinary Youths Receiving Gender-Affirming Care

Author Affiliations
  • 1Department of Epidemiology, University of Washington, Seattle
  • 2Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle
  • 3School of Medicine, University of Washington, Seattle
  • 4Department of Psychiatry and Behavioral Medicine, Department of Adolescent and Young Adult Medicine, Seattle Children’s Hospital, Seattle, Washington
  • 5University of California, San Diego School of Medicine, Rady Children's Hospital
  • 6Division of Adolescent Medicine, Department of Pediatrics, Seattle Children’s Hospital, Seattle, Washington
JAMA Netw Open. 2022;5(2):e220978. doi:10.1001/jamanetworkopen.2022.0978
Key Points

Question  Is gender-affirming care for transgender and nonbinary (TNB) youths associated with changes in depression, anxiety, and suicidality?

Findings  In this prospective cohort of 104 TNB youths aged 13 to 20 years, receipt of gender-affirming care, including puberty blockers and gender-affirming hormones, was associated with 60% lower odds of moderate or severe depression and 73% lower odds of suicidality over a 12-month follow-up.

Meaning  This study found that access to gender-affirming care was associated with mitigation of mental health disparities among TNB youths over 1 year; given this population's high rates of adverse mental health outcomes, these data suggest that access to pharmacological interventions may be associated with improved mental health among TNB youths over a short period.

Abstract

Importance  Transgender and nonbinary (TNB) youths are disproportionately burdened by poor mental health outcomes owing to decreased social support and increased stigma and discrimination. Although gender-affirming care is associated with decreased long-term adverse mental health outcomes among these youths, less is known about its association with mental health immediately after initiation of care.

Objective  To investigate changes in mental health over the first year of receiving gender-affirming care and whether initiation of puberty blockers (PBs) and gender-affirming hormones (GAHs) was associated with changes in depression, anxiety, and suicidality.

Design, Setting, and Participants  This prospective observational cohort study was conducted at an urban multidisciplinary gender clinic among TNB adolescents and young adults seeking gender-affirming care from August 2017 to June 2018. Data were analyzed from August 2020 through November 2021.

Exposures  Time since enrollment and receipt of PBs or GAHs.

Main Outcomes and Measures  Mental health outcomes of interest were assessed via the Patient Health Questionnaire 9-item (PHQ-9) and Generalized Anxiety Disorder 7-item (GAD-7) scales, which were dichotomized into measures of moderate or severe depression and anxiety (ie, scores ≥10), respectively. Any self-report of self-harm or suicidal thoughts over the previous 2 weeks was assessed using PHQ-9 question 9. Generalized estimating equations were used to assess change from baseline in each outcome at 3, 6, and 12 months of follow-up. Bivariate and multivariable logistic models were estimated to examine temporal trends and investigate associations between receipt of PBs or GAHs and each outcome.

Results  Among 104 youths aged 13 to 20 years (mean [SD] age, 15.8 [1.6] years) who participated in the study, there were 63 transmasculine individuals (60.6%), 27 transfeminine individuals (26.0%), 10 nonbinary or gender fluid individuals (9.6%), and 4 youths who responded “I don’t know” or did not respond to the gender identity question (3.8%). At baseline, 59 individuals (56.7%) had moderate to severe depression, 52 individuals (50.0%) had moderate to severe anxiety, and 45 individuals (43.3%) reported self-harm or suicidal thoughts. By the end of the study, 69 youths (66.3%) had received PBs, GAHs, or both interventions, while 35 youths had not received either intervention (33.7%). After adjustment for temporal trends and potential confounders, we observed 60% lower odds of depression (adjusted odds ratio [aOR], 0.40; 95% CI, 0.17-0.95) and 73% lower odds of suicidality (aOR, 0.27; 95% CI, 0.11-0.65) among youths who had initiated PBs or GAHs compared with youths who had not. There was no association between PBs or GAHs and anxiety (aOR, 1.01; 95% CI, 0.41, 2.51).

Conclusions and Relevance  This study found that gender-affirming medical interventions were associated with lower odds of depression and suicidality over 12 months. These data add to existing evidence suggesting that gender-affirming care may be associated with improved well-being among TNB youths over a short period, which is important given mental health disparities experienced by this population, particularly the high levels of self-harm and suicide.

Introduction

Transgender and nonbinary (TNB) youths are disproportionately burdened by poor mental health outcomes, including depression, anxiety, and suicidal ideation and attempts.1-5 These disparities are likely owing to high levels of social rejection, such as a lack of support from parents6,7 and bullying,6,8,9 and increased stigma and discrimination experienced by TNB youths. Multidisciplinary care centers have emerged across the country to address the health care needs of TNB youths, which include access to medical gender-affirming interventions, such as puberty blockers (PBs) and gender-affirming hormones (GAHs).10 These centers coordinate care and help youths and their families address barriers to care, such as lack of insurance coverage11 and travel times.12 Gender-affirming care is associated with decreased rates of long-term adverse outcomes among TNB youths. Specifically, PBs, GAHs, and gender-affirming surgeries have all been found to be independently associated with decreased rates of depression, anxiety, and other adverse mental health outcomes.13-16 Access to these interventions is also associated with a decreased lifetime incidence of suicidal ideation among adults who had access to PBs during adolescence.17 Conversely, TNB youths who present to care later in adolescence or young adulthood experience more adverse mental health outcomes.18 Despite this robust evidence base, legislation criminalizing and thus limiting access to gender-affirming medical care for minors is increasing.19,20

Less is known about the association of gender-affirming care with mental health outcomes immediately after initiation of care. Several studies published from 2015 to 2020 found that receipt of PBs or GAHs was associated with improved psychological functioning21 and body satisfaction,22 as well as decreased depression23 and suicidality24 within a 1-year period. Initiation of gender-affirming care may be associated with improved short-term mental health owing to validation of gender identity and clinical staff support. Conversely, prerequisite mental health evaluations, often perceived as pathologizing by TNB youths, and initiation of GAHs may present new stressors that may be associated with exacerbation of mental health symptoms early in care, such as experiences of discrimination associated with more frequent points of engagement in a largely cisnormative health care system (eg, interactions with nonaffirming pharmacists to obtain laboratory tests, syringes, and medications).25 Given the high risk of suicidality among TNB adolescents, there is a pressing need to better characterize mental health trends for TNB youths early in gender-affirming care. This study aimed to investigate changes in mental health among TNB youths enrolled in an urban multidisciplinary gender clinic over the first 12 months of receiving care. We also sought to investigate whether initiation of PBs or GAHs was associated with depression, anxiety, and suicidality.

Methods

This cohort study received approval from the Seattle Children’s Hospital Institutional Review Board. For youths younger than age 18 years, caregiver consent and youth assent was obtained. For youths ages 18 years and older, youth consent alone was obtained. The 12-month assessment was funded via a different mechanism than other survey time points; thus, participants were reconsented for the 12-month survey. The study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Study Procedures

We conducted a prospective observational cohort study of TNB youths seeking care at Seattle Children’s Gender Clinic, an urban multidisciplinary gender clinic. After a referral is placed or a patient self-refers, new patients, their caregivers, or patients with their caregivers are scheduled for a 1-hour phone intake with a care navigator who is a licensed clinical social worker. Patients are then scheduled for an appointment at the clinic with a medical provider.

All patients who completed the phone intake and in-person appointment between August 2017 and June 2018 were recruited for this study. Participants completed baseline surveys within 24 hours of their first appointment and were invited to complete follow-up surveys at 3, 6, and 12 months. Youth surveys were used to assess most variables in this study; caregiver surveys were used to assess caregiver income. Participation and completion of study surveys had no bearing on prescribing of PBs or GAHs.

Measures
Mental Health Variables

We assessed 3 internalizing mental health outcomes: depression, generalized anxiety, and suicidality. Depression was assessed using the Patient Health Questionnaire 9-item scale (PHQ-9), and anxiety was assessed using the Generalized Anxiety Disorder 7-item scale (GAD-7). We dichotomized PHQ-9 and GAD-7 scores into measures of moderate or severe depression and anxiety (ie, scores ≥10).26,27 Self-harm and suicidal thoughts were assessed using PHQ-9 question 9 (eTable 1 in the Supplement).

Pharmacological Interventions

Participants self-reported if they had ever received GAHs, including estrogen or testosterone, or PBs (eg, gonadotropin-releasing hormone analogues) on each survey. We conducted a medical record review to capture prescription of androgen blockers (eg, spironolactone) and medications for menstrual suppression or contraception (ie, medroxyprogesterone acetate or levonorgestrel-releasing intrauterine device) during the study period.

Covariates

We a priori considered potential confounders hypothesized to be associated with our exposures and outcomes of interest based on theory and prior research. Self-reported gender was ascertained on each survey using a 2-step question that asked participants about their current gender and their sex assigned at birth. If a participant’s self-reported gender changed across surveys, we used the gender reported most frequently by a participant (3 individuals identified as transmasculine at baseline and as nonbinary on all follow-up surveys). We collected data on self-reported race and ethnicity (available response options were Arab or Middle Eastern; Asian; Black or African American; Latinx; Native American, American Indian, or Alaskan Native or Native Hawaiian; Pacific Islander; and White), age, caregiver income, and insurance type. Race and ethnicity were assessed as potential covariates owing to known barriers to accessing gender-affirming care among transgender youth who are members of minority racial and ethnic groups. For descriptive statistics, Asian and Pacific Islander groups were combined owing to small population numbers. We included a baseline variable reflecting receipt of ongoing mental health therapy other than for the purpose of a mental health assessment to receive a gender dysphoria diagnosis. We included a self-report variable reflecting whether youths felt their gender identity or expression was a source of tension with their parents or guardians. Substance use included any alcohol, marijuana, or other drug use in the past year. Resilience was measured by the Connor-Davidson Resilience Scale (CD-RISC) 10-item score developed to measure change in an individual’s state resilience over time.28 Resilience scores were dichotomized into high (ie, ≥median) and low (ie, <median). Prior studies of young adults in the US reported mean CD-RISC scores ranging from 27.2 to 30.1.29,30

Statistical Analysis

We used generalized estimating equations to assess change in outcomes from baseline at each follow-up point (eFigure 1 in the Supplement). We used a logit link function to estimate adjusted odds ratio (aOR) for the association between variables and each mental health outcome. We initially estimated bivariate associations between potential confounders and mental health outcomes. Multivariable models included variables that were statistically significant in bivariate models. For all outcomes and models, statistical significance was defined as 95% CIs that did not contain 1.00. Reported P values are based on 2-sided Wald test statistics.

Model 1 examined temporal trends in mental health outcomes, with time (ie, baseline, 3, 6, and 12 months) modeled as a categorical variable. Model 2 estimated the association between receipt of PBs or GAHs and mental health outcomes adjusted for temporal trends and potential confounders. Receipt of PBs or GAHs was modeled as a composite binary time-varying exposure that compared mean outcomes between participants who had initiated PBs or GAHs and those who had not across all time points (eTable 2 in the Supplement). All models used an independent working correlation structure and robust standard errors to account for the time-varying exposure variable.

We performed several sensitivity analyses. Because our data were from an observational cohort, we first considered the degree to which they were sensitive to unmeasured confounding. To do this, we calculated the E-value for the association between PBs or GAHs and mental health outcomes in model 2. The E-value is defined as the minimum strength of association that a confounder would need to have with both exposure and outcome to completely explain away their association (eTable 4 in the Supplement).31 Second, we performed sensitivity analyses on several subsets of youths. We separately examined the association of PBs and GAHs with outcomes of interest, although we a priori did not anticipate being powered to detect statistically significant outcomes owing to our small sample size and the relatively low proportion of youths who accessed PBs. We also conducted sensitivity analyses using the Patient Health Questionnaire 8-item scale (PHQ-8), in which the PHQ-9 question 9 regarding self-harm or suicidal thoughts was removed, given that we analyzed this item as a separate outcome. Lastly, we restricted our analysis to minor youths ages 13 to 17 years because they were subject to different laws and policies related to consent and prerequisite mental health assessments. We used R statistical software version 3.6.2 (R Project for Statistical Computing) to conduct all analyses. Data were analyzed from August 2020 through November 2021.

Results

A total of 169 youths were screened for eligibility during the study period, among whom 161 eligible youths were approached. Nine youths or caregivers declined participation, and 39 youths did not complete consent or assent or did not complete the baseline survey, leaving a sample of 113 youths (70.2% of approached youths). We excluded 9 youths aged younger than 13 years from the analysis because they received different depression and anxiety screeners. Our final sample included 104 youths ages 13 to 20 years (mean [SD] age, 15.8 [1.6] years). Of these individuals, 84 youths (80.8%), 84 youths, and 65 youths (62.5%) completed surveys at 3, 6, and 12 months, respectively.

Our cohort included 63 transmasculine youths (60.6%), 27 transfeminine youths (26.0%), 10 nonbinary or gender fluid youths (9.6%), and 4 youths who responded “I don’t know” or did not respond to the gender identity question on all completed questionnaires (3.8%) (Table 1). There were 4 Asian or Pacific Islander youths (3.8%), 3 Black or African American youths (2.9%); 9 Latinx youths (8.7%); 6 Native American, American Indian, or Alaskan Native or Native Hawaiian youths (5.8%); 67 White youths (64.4%); and 9 youths who reported more than 1 race or ethnicity (8.7%). Race and ethnicity data were missing for 6 youth (5.8%).

At baseline, 7 youths had ever received PBs or GAHs (including 1 youth who received PBs, 4 youths who received GAHs, and 2 youths who received both PBs and GAHs). By the end of the study, 69 youths (66.3%) had received PBs or GAHs (including 50 youths who received GAHs only [48.1%], 5 youths who received PBs only [4.8%], and 14 youths who received PBs and GAHs [13.5%]), while 35 youths had not received either PBs or GAHs (33.7%) (eTable 3 in the Supplement). Among 33 participants assigned male sex at birth, 17 individuals (51.5%) had received androgen blockers, and among 71 participants assigned female sex at birth, 25 individuals (35.2%) had received menstrual suppression or contraceptives by the end of the study.

A large proportion of youths reported depressive and anxious symptoms at baseline. Specifically, 59 individuals (56.7%) had baseline PHQ-9 scores of 10 or more, suggesting moderate to severe depression; there were 22 participants (21.2%) scoring in the moderate range, 11 participants (10.6%) in the moderately severe range, and 26 participants (25.0%) in the severe range. Similarly, half of participants had a GAD-7 score suggestive of moderate to severe anxiety at baseline (52 individuals [50.0%]), including 20 participants (19.2%) scored in the moderate range, and 32 participants (30.8%) scored in the severe range. There were 45 youths (43.3%) who reported self-harm or suicidal thoughts in the prior 2 weeks. At baseline, 65 youths (62.5%) were receiving ongoing mental health therapy, 36 youths (34.6%) reported tension with their caregivers about their gender identity or expression, and 34 youths (32.7%) reported any substance use in the prior year. Lastly, we observed a wide range of resilience scores (median [range], 22.5 [1-38], with higher scores equaling more resiliency). There were no statistically significant differences in baseline characteristics by gender.

In bivariate models, substance use was associated with all mental health outcomes (Table 2). Youths who reported any substance use were 4-fold as likely to have PHQ-9 scores of moderate to severe depression (aOR, 4.38; 95% CI, 2.10-9.16) and 2-fold as likely to have GAD-7 scores of moderate to severe anxiety (aOR, 2.07; 95% CI, 1.04-4.11) or report thoughts of self-harm or suicide in the prior 2 weeks (aOR, 2.06; 95% CI, 1.08-3.93). High resilience scores (ie, ≥median), compared with low resilience scores (ie, <median), were associated with lower odds of moderate or severe anxiety (aOR, 0.51; 95% CI, 0.26-0.999).

There were no statistically significant temporal trends in the bivariate model or model 1 (Table 2 and Table 3). However, among all participants, odds of moderate to severe depression increased at 3 months of follow-up relative to baseline (aOR, 2.12; 95% CI, 0.98-4.60), which was not a significant increase, and returned to baseline levels at months 6 and 12 (Figure) prior to adjusting for receipt of PBs or GAHs.

We also examined the association between receipt of PBs or GAHs and mental health outcomes in bivariate and multivariable models (eFigure 2 in the Supplement). After adjusting for temporal trends and potential confounders (Table 4), we observed that youths who had initiated PBs or GAHs had 60% lower odds of moderate to severe depression (aOR, 0.40; 95% CI, 0.17-0.95) and 73% lower odds of self-harm or suicidal thoughts (aOR, 0.27; 95% CI, 0.11-0.65) compared with youths who had not yet initiated PBs or GAHs. There was no association between receipt of PBs or GAHs and moderate to severe anxiety (aOR, 1.01; 95% CI, 0.41-2.51). After adjusting for time-varying exposure of PBs or GAHs in model 2 (Table 4), we observed statistically significant increases in moderate to severe depression among youths who had not received PBs or GAHs by 3 months of follow-up (aOR, 3.22; 95% CI, 1.37-7.56). A similar trend was observed for self-harm or suicidal thoughts among youths who had not received PBs or GAHs by 6 months of follow-up (aOR, 2.76; 95% CI, 1.22-6.26). Lastly, we estimated E-values of 2.56 and 3.25 for the association between receiving PGs or GAHs and moderate to severe depression and suicidality, respectively (eTable 4 in the Supplement). Sensitivity analyses obtained comparable results and are presented in eTables 5 through 8 in the Supplement.

Discussion

In this prospective clinical cohort study of TNB youths, we observed high rates of moderate to severe depression and anxiety, as well as suicidal thoughts. Receipt of gender-affirming interventions, specifically PBs or GAHs, was associated with 60% lower odds of moderate to severe depressive symptoms and 73% lower odds of self-harm or suicidal thoughts during the first year of multidisciplinary gender care. Among youths who did not initiate PBs or GAHs, we observed that depressive symptoms and suicidality were 2-fold to 3-fold higher than baseline levels at 3 and 6 months of follow-up, respectively. Our study results suggest that risks of depression and suicidality may be mitigated with receipt of gender-affirming medications in the context of a multidisciplinary care clinic over the relatively short time frame of 1 year.

Our findings are consistent with those of prior studies finding that TNB adolescents are at increased risk of depression, anxiety, and suicidality1,11,32 and studies finding long-term and short-term improvements in mental health outcomes among TNB individuals who receive gender-affirming medical interventions.14,21-24,33,34 Surprisingly, we observed no association with anxiety scores. A recent cohort study of TNB youths in Dallas, Texas, found that total anxiety symptoms improved over a longer follow-up of 11 to 18 months; however, similar to our study, the authors did not observe statistically significant improvements in generalized anxiety.22 This suggests that anxiety symptoms may take longer to improve after the initiation of gender-affirming care. In addition, Olson et al35 found that prepubertal TNB children who socially transitioned did not have increased rates of depression symptoms but did have increased rates of anxiety symptoms compared with children who were cisgender. Although social transition and access to gender-affirming medical care do not always go hand in hand, it is noteworthy that access to gender-affirming medical care and supported social transition appear to be associated with decreased depression and suicidality more than anxiety symptoms.

Time trends were not significant in our study; however, it is important to note that we observed a transient and nonsignificant worsening in mental health outcomes in the first several months of care among all participants and that these outcomes subsequently returned to baseline by 12 months. This is consistent with findings from a 2020 study36 in an academic medical center in the northwestern US that observed no change in TNB adolescents’ GAD-7 or PHQ-9 scores from intake to first follow-up appointment, which occurred a mean of 4.7 months apart. Given that receipt of PBs or GAHs was associated with protection against depression and suicidality in our study, it could be that delays in receipt of medications is associated with initially exacerbated mental health symptoms that subsequently improve. It is also possible that mental health improvements associated with receiving these interventions may have a delayed onset, given the delay in physical changes after starting GAHs.

Few of our hypothesized confounders were associated with mental health outcomes in this sample, most notably receipt of ongoing mental health therapy and caregiver support; however, this is not surprising given that these variables were colinear with baseline mental health, which we adjusted for in all models. Substance use was the only variable associated with all mental health outcomes. In addition, youths with high baseline resilience scores were half as likely to experience moderate to severe anxiety as those with low scores. This finding suggests that substance use and resilience may be additional modifiable factors that could be addressed through multidisciplinary gender-affirming care. We recommend more granular assessment of substance use and resilience to better understand support needs (for substance use) and effective support strategies (for resilience) for TNB youths in future research.

This study has a number of strengths. This is one of the first studies to quantify a short-term transient increase in depressive symptoms experienced by TNB youths after initiating gender-affirming care, a phenomenon observed clinically by some of the authors and described in qualitative research.37 Although we are unable to make causal statements owing to the observational design of the study, the strength of associations between gender-affirming medications and depression and suicidality, with large aOR values, and sensitivity analyses that suggest that these findings are robust to moderate levels of unmeasured confounding. Specifically, E-values calculated for this study suggest that the observed associations could be explained away only by an unmeasured confounder that was associated with both PBs and GAHs and the outcomes of interest by a risk ratio of 2-fold to 3-fold each, above and beyond the measured confounders, but that weaker confounding could not do so.31

Limitations

Our findings should be interpreted in light of the following limitations. This was a clinical sample of TNB youths, and there was likely selection bias toward youths with supportive caregivers who had resources to access a gender-affirming care clinic. Family support and access to care are associated with protection against poor mental health outcomes, and thus actual rates of depression, anxiety, and suicidality in nonclinical samples of TNB youths may differ. Youths who are unable to access gender-affirming care owing to a lack of family support or resources require particular emphasis in future research and advocacy. Our sample also primarily included White and transmasculine youths, limiting the generalizability of our findings. In addition, the need to reapproach participants for consent and assent for the 12-month survey likely contributed to attrition at this time point. There may also be residual confounding because we were unable to include a variable reflecting receipt of psychotropic medications that could be associated with depression, anxiety, and self-harm and suicidal thought outcomes. Additionally, we used symptom-based measures of depression, anxiety, and suicidality; further studies should include diagnostic evaluations by mental health practitioners to track depression, anxiety, gender dysphoria, suicidal ideation, and suicide attempts during gender care.2

Conclusions

Our study provides quantitative evidence that access to PBs or GAHs in a multidisciplinary gender-affirming setting was associated with mental health improvements among TNB youths over a relatively short time frame of 1 year. The associations with the highest aORs were with decreased suicidality, which is important given the mental health disparities experienced by this population, particularly the high levels of self-harm and suicide. Our findings have important policy implications, suggesting that the recent wave of legislation restricting access to gender-affirming care19 may have significant negative outcomes in the well-being of TNB youths.20 Beyond the need to address antitransgender legislation, there is an additional need for medical systems and insurance providers to decrease barriers and expand access to gender-affirming care.

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Article Information

Accepted for Publication: January 10, 2022.

Published: February 25, 2022. doi:10.1001/jamanetworkopen.2022.0978

Correction: This article was corrected on July 26, 2022, to fix minor errors in the numbers of patients in eTables 2 and 3 in the Supplement.

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Tordoff DM et al. JAMA Network Open.

Corresponding Author: Diana M. Tordoff, MPH, Department of Epidemiology, University of Washington, UW Box 351619, Seattle, WA 98195 (dtordoff@uw.edu).

Author Contributions: Diana Tordoff had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Diana Tordoff and Dr Wanta are joint first authors. Drs Inwards-Breland and Ahrens are joint senior authors.

Concept and design: Collin, Stepney, Inwards-Breland, Ahrens.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Tordoff, Wanta, Collin, Stepney, Inwards-Breland.

Critical revision of the manuscript for important intellectual content: Wanta, Collin, Stepney, Inwards-Breland, Ahrens.

Statistical analysis: Tordoff.

Obtained funding: Inwards-Breland, Ahrens.

Administrative, technical, or material support: Ahrens.

Supervision: Wanta, Inwards-Breland, Ahrens.

Conflict of Interest Disclosures: Diana Tordoff reported receiving grants from the National Institutes of Health National Institute of Allergy and Infectious Diseases unrelated to the present work and outside the submitted work. No other disclosures were reported.

Funding/Support: This study was supported Seattle Children’s Center for Diversity and Health Equity and the Pacific Hospital Preservation Development Authority.

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

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