Representatives of some pediatric gender clinics have reported an increase in transgender and gender diverse (TGD) adolescents presenting for care who were assigned female sex at birth (AFAB) relative to those assigned male sex at birth (AMAB). These data have been used to suggest that youth come to identify as TGD because of “social contagion,” with the underlying assumption that AFAB youth are uniquely vulnerable to this hypothesized phenomenon. Reported changes in the AMAB:AFAB ratio have been cited in recent legislative debates regarding the criminalization of gender-affirming medical care. Our objective was to examine the AMAB:AFAB ratio among United States TGD adolescents in a larger and more representative sample than past clinic-recruited samples.
Using the 2017 and 2019 Youth Risk Behavior Survey across 16 states that collected gender identity data, we calculated the AMAB:AFAB ratio for each year. We also examined the rates of bullying victimization and suicidality among TGD youth compared with their cisgender peers.
The analysis included 91 937 adolescents in 2017 and 105 437 adolescents in 2019. In 2017, 2161 (2.4%) participants identified as TGD, with an AMAB:AFAB ratio of 1.5:1. In 2019, 1640 (1.6%) participants identified as TGD, with an AMAB:AFAB ratio of 1.2:1. Rates of bullying victimization and suicidality were higher among TGD youth when compared with their cisgender peers.
The sex assigned at birth ratio of TGD adolescents in the United States does not appear to favor AFAB adolescents and should not be used to argue against the provision of gender-affirming medical care for TGD adolescents.
Representatives of some pediatric gender clinics have reported an increase in transgender youth assigned female sex at birth relative to those assigned male sex at birth. Such data have been used to suggest a theory of social contagion leading to transgender identity.
Our findings from a national sample of adolescents across 16 states reveal that the sex assigned at birth ratio of transgender adolescents does not favor transgender adolescents assigned female sex at birth.
Transgender and gender diverse (TGD) youth are those whose gender identity does not strictly align with societal expectations based on their sex assigned at birth.1 Some TGD youth experience gender dysphoria, which, as currently described in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision refers to the distress that arises secondary to one’s gender identity being incongruent with societal expectations based on one’s sex assigned at birth.2
A recent descriptive article hypothesized the existence of a new subtype of gender dysphoria, putatively termed “rapid-onset gender dysphoria” (ROGD).3 The ROGD hypothesis asserts that young people begin to identify as TGD for the first time as adolescents rather than as prepubertal children and that this identification and subsequent gender dysphoria are the result of social contagion. This hypothesis further asserts that youth assigned female sex at birth (AFAB) are more susceptible to social contagion than those assigned male sex at birth (AMAB),3 with a resultant expectation of increasing overrepresentation of TGD AFAB youth relative to TGD AMAB youth.
Of note, this hypothesis was formed solely through the analysis of online parental survey data. As a subsequently issued correction to the article outlined, “ROGD is not a formal mental health diagnosis at this time. This report did not collect data from the adolescents and young adults or clinicians and therefore does not validate the phenomenon.”4
Despite this parent-centered study prompting substantial social5 and methodological6 critique in tandem with calls for more robust research studies with samples of TGD adolescents,7 the notion of ROGD has been used in recent legislative debates to argue for and subsequently enact policies that prohibit gender-affirming medical care for TGD adolescents.8 Notably, all relevant major medical organizations, including the American Academy of Pediatrics, oppose such legislative efforts.8
One element of the ROGD hypothesis has been understudied, namely, the sex assigned at birth ratio of TGD adolescents (ie, the number of TGD AFAB adolescents relative to the number of TGD AMAB adolescents). Although representatives of some pediatric gender clinics have reported an increase in TGD AFAB patients relative to TGD AMAB patients,9,10 there is a dearth of studies that explore this ratio in larger, national samples of adolescents. Using data from the 2017 and 2019 iterations of the Youth Risk Behavior Survey (YRBS) across 16 US states, we explored this component of the ROGD hypothesis and examined the AMAB:AFAB ratio among United States TGD adolescents in a larger and more representative sample than past clinic-recruited samples. Moreover, to test the assertion that youth identify as TGD because of social desirability, we also examined rates of bullying among those who identified as TGD and those who did not. We further compared rates of bullying victimization among TGD youth with rates among cisgender sexual minority youth because some have asserted that TGD youth identify as TGD because of their underlying sexual orientation and presumption that TGD identities are less stigmatized than sexual minority cisgender identities.11
Methods
Data Source and Study Population
Data for this study come from the 2017 and 2019 iterations of the YRBS, which is a biennial survey of high school students in the United States conducted by the Centers for Disease Control and Prevention, with the objective of assessing risk behaviors among United States adolescents. The complete YRBS methodology (ie, sampling methodology, data collection processes, response rates) has previously been described.12 Sixteen states that administered the YRBS in 2017 and 2019 collected gender identity data. Because data were publicly available, this study was exempt from institutional review board review.
Gender Identity
Participants were asked, “Some people describe themselves as transgender when their sex at birth does not match the way they think or feel about their gender. Are you transgender?” Response options were “Yes, I am transgender,” “No, I am not transgender,” “I am not sure if I am transgender,” and “I do not know what this question is asking.” Youth who chose “I am not sure if I am transgender” and “I do not know what this question is asking” were excluded from analyses.
Sex Assigned at Birth
Youth reported their sex assigned at birth by answering: “What is your sex?” Response options were female or male. Although this question does not refer to sex assigned at birth specifically, several studies have found that TGD youth are likely to understand “sex” to be sex assigned at birth rather than gender identity, due to the foundational salience of these characteristics to their identities.13,14,15 For this reason, we conceptualize responses to this question as referring to sex assigned at birth. Survey questions used to ascertain gender identity and sex assigned at birth are displayed in Supplemental Table 5.
Demographic, Bullying, and Mental Health Variables
Demographic variables including age, grade, race/ethnicity, and sexual orientation were collected. Because proponents of ROGD have argued that youth are increasingly identifying as TGD because of social desirability,11 variables related to school bullying and electronic bullying were also included in the study analyses, to examine the veracity of these assertions. Moreover, because bullying is a predictor of negative mental health outcomes,1 we also included history of suicide attempts as a variable in the analyses.
Statistical Analyses
Percentages were calculated to determine the proportion of TGD adolescents overall as well as by sex assigned at birth. AMAB:AFAB ratios were calculated to compare the number of AFAB and AMAB participants who identified as TGD. Variables related to demographics, bullying, and suicidality were compared between TGD and cisgender youth by using χ2 tests.
Results
The analyses included 91 937 adolescents in 2017 and 105 437 adolescents in 2019. The percentages of excluded youth who indicated “I am not sure if I am transgender” or “I do not know what this question is asking” were 4.0% (n = 3785) and 3.2% (n = 3505) in 2017 and 2019, respectively. TGD and cisgender youth demonstrated significant differences across all demographic variables, bullying victimization, and suicidality (Table 1). TGD youth were more likely to be victims of school bullying and electronic bullying when compared with their cisgender peers, and they were also more likely to endorse a history of suicide attempts.
Demographic and Mental Health Characteristics
YRBS Year . | 2017a . | . | 2019b . | . | ||
---|---|---|---|---|---|---|
. | Cisgender, n = 89 776 . | Transgender, n = 2161 . | P . | Cisgender, n = 103 797 . | Transgender, n = 1640 . | P . |
Sex assigned at birth, n (%) | <.001 | .001 | ||||
Female, AFAB | 45 928 (51.2) | 876 (40.5) | 53 179 (51.2) | 774 (47.2) | ||
Male, AMAB | 43 848 (48.8) | 1285 (59.5) | 50 618 (48.8) | 866 (52.8) | ||
Age, y | <.001 | <.001 | ||||
≤12 | 235 (0.3) | 142 (6.6) | 208 (0.2) | 110 (6.7) | ||
13 | 209 (0.2) | 19 (0.9) | 443 (0.4) | 37 (2.3) | ||
14 | 14 326 (16.0) | 310 (14.4) | 17 933 (17.3) | 227 (13.9) | ||
15 | 23 947 (26.7) | 504 (23.4) | 28 377 (27.4) | 351 (21.5) | ||
16 | 24 005 (26.8) | 504 (23.4) | 26 648 (25.7) | 361 (22.1) | ||
17 | 20 250 (22.6) | 464 (21.5) | 22 287 (21.5) | 358 (21.9) | ||
≥18 | 6726 (7.5) | 201 (9.3) | 7804 (7.5) | 192 (11.7) | ||
Grade, n (%) | .009 | .001 | ||||
9th | 24 706 (27.7) | 557 (27.2) | 29 648 (28.8) | 403 (25.7) | ||
10th | 23 760 (26.7) | 529 (25.8) | 27 840 (27.0) | 407 (25.9) | ||
11th | 23 033 (25.8) | 496 (24.2) | 25 216 (24.5) | 392 (25.0) | ||
12th | 17 609 (19.8) | 465 (22.7) | 20 361 (19.8) | 368 (23.4) | ||
Race/ethnicity, n (%) | <.001 | <.001 | ||||
American Indian/Alaska Native | 1110 (1.3) | 34 (1.7) | 1022 (1.0) | 27 (1.7) | ||
Asian | 5097 (5.8) | 94 (4.6) | 6123 (6.0) | 81 (5.2) | ||
Black or African American | 11 641 (13.3) | 430 (21.2) | 14 259 (14.0) | 140 (9.0) | ||
Hispanic/Latino | 9415 (10.7) | 396 (19.5) | 16 500 (16.2) | 408 (26.4) | ||
Native Hawaiian/Other Pacific Islander | 1783 (2.0) | 78 (3.8) | 2131 (2.1) | 52 (3.4) | ||
White | 52 859 (60.3) | 860 (42.3) | 55 261 (54.4) | 734 (47.4) | ||
Multiracial | 5767 (6.6) | 140 (6.9) | 6301 (6.2) | 105 (6.8) | ||
Sexual orientation, n (%) | <.001 | <.001 | ||||
Heterosexual | 77 451 (87.1) | 761 (37.5) | 88 172 (85.6) | 403 (25.3) | ||
Gay or lesbian | 1932 (2.2) | 465 (22.96) | 2236 (2.2) | 442 (27.7) | ||
Bisexual | 6462 (7.3) | 545 (26.8) | 8546 (8.3) | 530 (33.2) | ||
Not sure | 3117 (3.5) | 261 (12.8) | 4012 (3.9) | 220 (13.8) | ||
Bullied at school,cn (%) | 13 052 (14.5) | 675 (31.2) | <.001 | 15 494 (14.9) | 567 (34.6) | <.001 |
Electronically bullied,dn (%) | 13 291 (14.8) | 628 (29.1) | <.001 | 15 089 (14.5) | 573 (34.9) | <.001 |
Attempted suicide,en (%) | <.001 | <.001 | ||||
0 times | 41 015 (94.0) | 428 (67.0) | 56 131 (92.7) | 617 (69.2) | ||
1 time | 1577 (3.6) | 75 (11.7) | 2649 (4.4) | 111 (12.5) | ||
2 or 3 times | 708 (1.6) | 62 (9.7) | 1221 (2.0) | 79 (8.9) | ||
4 or 5 times | 138 (0.3) | 13 (2.0) | 241 (0.4) | 23 (2.6) | ||
6 or more times | 175 (0.4) | 61 (9.5) | 277 (0.5) | 61 (6.8) |
YRBS Year . | 2017a . | . | 2019b . | . | ||
---|---|---|---|---|---|---|
. | Cisgender, n = 89 776 . | Transgender, n = 2161 . | P . | Cisgender, n = 103 797 . | Transgender, n = 1640 . | P . |
Sex assigned at birth, n (%) | <.001 | .001 | ||||
Female, AFAB | 45 928 (51.2) | 876 (40.5) | 53 179 (51.2) | 774 (47.2) | ||
Male, AMAB | 43 848 (48.8) | 1285 (59.5) | 50 618 (48.8) | 866 (52.8) | ||
Age, y | <.001 | <.001 | ||||
≤12 | 235 (0.3) | 142 (6.6) | 208 (0.2) | 110 (6.7) | ||
13 | 209 (0.2) | 19 (0.9) | 443 (0.4) | 37 (2.3) | ||
14 | 14 326 (16.0) | 310 (14.4) | 17 933 (17.3) | 227 (13.9) | ||
15 | 23 947 (26.7) | 504 (23.4) | 28 377 (27.4) | 351 (21.5) | ||
16 | 24 005 (26.8) | 504 (23.4) | 26 648 (25.7) | 361 (22.1) | ||
17 | 20 250 (22.6) | 464 (21.5) | 22 287 (21.5) | 358 (21.9) | ||
≥18 | 6726 (7.5) | 201 (9.3) | 7804 (7.5) | 192 (11.7) | ||
Grade, n (%) | .009 | .001 | ||||
9th | 24 706 (27.7) | 557 (27.2) | 29 648 (28.8) | 403 (25.7) | ||
10th | 23 760 (26.7) | 529 (25.8) | 27 840 (27.0) | 407 (25.9) | ||
11th | 23 033 (25.8) | 496 (24.2) | 25 216 (24.5) | 392 (25.0) | ||
12th | 17 609 (19.8) | 465 (22.7) | 20 361 (19.8) | 368 (23.4) | ||
Race/ethnicity, n (%) | <.001 | <.001 | ||||
American Indian/Alaska Native | 1110 (1.3) | 34 (1.7) | 1022 (1.0) | 27 (1.7) | ||
Asian | 5097 (5.8) | 94 (4.6) | 6123 (6.0) | 81 (5.2) | ||
Black or African American | 11 641 (13.3) | 430 (21.2) | 14 259 (14.0) | 140 (9.0) | ||
Hispanic/Latino | 9415 (10.7) | 396 (19.5) | 16 500 (16.2) | 408 (26.4) | ||
Native Hawaiian/Other Pacific Islander | 1783 (2.0) | 78 (3.8) | 2131 (2.1) | 52 (3.4) | ||
White | 52 859 (60.3) | 860 (42.3) | 55 261 (54.4) | 734 (47.4) | ||
Multiracial | 5767 (6.6) | 140 (6.9) | 6301 (6.2) | 105 (6.8) | ||
Sexual orientation, n (%) | <.001 | <.001 | ||||
Heterosexual | 77 451 (87.1) | 761 (37.5) | 88 172 (85.6) | 403 (25.3) | ||
Gay or lesbian | 1932 (2.2) | 465 (22.96) | 2236 (2.2) | 442 (27.7) | ||
Bisexual | 6462 (7.3) | 545 (26.8) | 8546 (8.3) | 530 (33.2) | ||
Not sure | 3117 (3.5) | 261 (12.8) | 4012 (3.9) | 220 (13.8) | ||
Bullied at school,cn (%) | 13 052 (14.5) | 675 (31.2) | <.001 | 15 494 (14.9) | 567 (34.6) | <.001 |
Electronically bullied,dn (%) | 13 291 (14.8) | 628 (29.1) | <.001 | 15 089 (14.5) | 573 (34.9) | <.001 |
Attempted suicide,en (%) | <.001 | <.001 | ||||
0 times | 41 015 (94.0) | 428 (67.0) | 56 131 (92.7) | 617 (69.2) | ||
1 time | 1577 (3.6) | 75 (11.7) | 2649 (4.4) | 111 (12.5) | ||
2 or 3 times | 708 (1.6) | 62 (9.7) | 1221 (2.0) | 79 (8.9) | ||
4 or 5 times | 138 (0.3) | 13 (2.0) | 241 (0.4) | 23 (2.6) | ||
6 or more times | 175 (0.4) | 61 (9.5) | 277 (0.5) | 61 (6.8) |
Note: All variables have <3% missing data except for attempted suicide (52% and 42% missing in 2017 and 2019, respectively).
2017 YRBS data come from the following states: Colorado, Delaware, Florida, Hawaii, Maine, Maryland, Massachusetts, Michigan, Nevada, New York, Pennsylvania, Rhode Island, Vermont, Virginia, and Wisconsin.
2019 YRBS data come from the following states: Colorado, Florida, Hawaii, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, and Wisconsin.
Bullied on school property in the past 12 mo, “During the past 12 months, have you ever been bullied on school property” (response options “Yes” or “No).
Bullied through texting, Instagram, Facebook, or other social media in the past 12 mo, “During the past 12 months, have you ever been electronically bullied? (Count being bullied through texting, Instagram, Facebook, or other social media” (response options “Yes” or “No”).
Number of suicide attempts in the past 12 mo, “During the past 12 months, how many times did you actually attempt suicide?” (response options those listed in table).
Table 2 highlights the numbers and percentages of TGD adolescents by year and sex assigned at birth. In 2017, 2161 (2.4%) of participants identified as TGD, with an AMAB:AFAB ratio of 1.5:1. In 2019, 1640 (1.6% of) participants identified as TGD, with an AMAB:AFAB ratio of 1.2:1.
Numbers and Percentages of Transgender and Cisgender Adolescents by YRBS Year and Sex Assigned at Birth
YRBS Year . | 2017 . | 2019 . |
---|---|---|
All adolescents, n (%) | ||
Transgender | 2161 (2.4) | 1640 (1.6) |
Cisgender | 89 776 (97.6) | 103 797 (98.4) |
AMAB adolescents, n (%) | ||
Transgender | 1285 (2.8) | 866 (1.7) |
Cisgender | 43 848 (97.2) | 50 618 (98.3) |
AFAB adolescents, n (%) | ||
Transgender | 876 (1.9) | 774 (1.4) |
Cisgender | 45 928 (98.1) | 53 179 (98.6) |
Sex assigned at birth ratio, transgender AMAB:transgender AFAB | 1.5:1 | 1.2:1 |
YRBS Year . | 2017 . | 2019 . |
---|---|---|
All adolescents, n (%) | ||
Transgender | 2161 (2.4) | 1640 (1.6) |
Cisgender | 89 776 (97.6) | 103 797 (98.4) |
AMAB adolescents, n (%) | ||
Transgender | 1285 (2.8) | 866 (1.7) |
Cisgender | 43 848 (97.2) | 50 618 (98.3) |
AFAB adolescents, n (%) | ||
Transgender | 876 (1.9) | 774 (1.4) |
Cisgender | 45 928 (98.1) | 53 179 (98.6) |
Sex assigned at birth ratio, transgender AMAB:transgender AFAB | 1.5:1 | 1.2:1 |
Additionally, TGD youth were significantly more likely to be victims of school bullying and electronic bullying when compared with cisgender sexual minority youth, who themselves were more likely to be victims of these types of bullying when compared to cisgender heterosexual youth (Tables 3 and 4).
χ2 Comparison of Bullying Rates Between TGD Youth and Cisgender Sexual Minority Youth
YRBS Year . | 2017 . | 2019 . | ||||
---|---|---|---|---|---|---|
. | Cisgender Sexual Minority, n (%) . | Transgender and Gender Diverse, n (%) . | P . | Cisgender Sexual Minority, n (%) . | Transgender and Gender Diverse, n (%) . | P . |
School bullying | 2034 (30.5) | 675 (38.7) | <.001 | 2515 (28.7) | 567 (45.4) | <.001 |
Electronic bullying | 2213 (26.7) | 628 (32.2) | <.001 | 2577 (24.1) | 573 (37.5) | <.001 |
YRBS Year . | 2017 . | 2019 . | ||||
---|---|---|---|---|---|---|
. | Cisgender Sexual Minority, n (%) . | Transgender and Gender Diverse, n (%) . | P . | Cisgender Sexual Minority, n (%) . | Transgender and Gender Diverse, n (%) . | P . |
School bullying | 2034 (30.5) | 675 (38.7) | <.001 | 2515 (28.7) | 567 (45.4) | <.001 |
Electronic bullying | 2213 (26.7) | 628 (32.2) | <.001 | 2577 (24.1) | 573 (37.5) | <.001 |
χ2 Comparison of Bullying Rates Between Cisgender Heterosexual Youth and Cisgender Sexual Minority Youth
YRBS Year . | 2017 . | 2019 . | ||||
---|---|---|---|---|---|---|
. | Cisgender Heterosexual, n (%) . | Cisgender Sexual Minority, n (%) . | P . | Cisgender Heterosexual, n (%) . | Cisgender Sexual Minority, n (%) . | P . |
School bullying | 10 296 (17.1) | 2034 (30.5) | <.001 | 12 077 (16.6) | 2515 (28.7) | <.001 |
Electronic bullying | 10 426 (13.5) | 2213 (26.7) | <.001 | 11 729 (13.4) | 2577 (24.1) | <.001 |
YRBS Year . | 2017 . | 2019 . | ||||
---|---|---|---|---|---|---|
. | Cisgender Heterosexual, n (%) . | Cisgender Sexual Minority, n (%) . | P . | Cisgender Heterosexual, n (%) . | Cisgender Sexual Minority, n (%) . | P . |
School bullying | 10 296 (17.1) | 2034 (30.5) | <.001 | 12 077 (16.6) | 2515 (28.7) | <.001 |
Electronic bullying | 10 426 (13.5) | 2213 (26.7) | <.001 | 11 729 (13.4) | 2577 (24.1) | <.001 |
Discussion
Using a national sample of United States adolescents, we found that there were more TGD AMAB adolescents than TGD AFAB adolescents in both 2017 and 2019. Additionally, the total percentage of TGD adolescents in our sample decreased from 2.4% in 2017 to 1.6% in 2019. This decrease in the overall percentage of adolescents identifying as TGD is incongruent with an ROGD hypothesis that posits social contagion.
The AMAB:AFAB ratio, still in favor of more TGD AMAB participants for both years, shifted slightly toward TGD AFAB participants from 2017 to 2019. Importantly, this change was due to a reduction in the number of TGD AMAB participants, rather than an increase in TGD AFAB participants, again arguing against a notion of social contagion with unique susceptibility among AFAB youth.
Moreover, we found that TGD youth were more likely to be victims of bullying and to have attempted suicide when compared with cisgender youth, which is consistent with past studies.1 Our additional analyses reveal that TGD youth experience significantly higher rates of bullying than cisgender sexual minority youth, who themselves experience significantly higher rates of bullying when compared with cisgender heterosexual youth (Tables 3 and 4). These exceptionally high rates of bullying among TGD youth are inconsistent with the notion that young people come out as TGD either to avoid sexual minority stigma or because being TGD will make them more popular among their peers, both of which are explanations that have recently been propagated in the media.11 Of note, a substantial percentage of TGD adolescents in the current study sample also identified as gay, lesbian, or bisexual with regard to their sexual orientation (Table 1), which further argues against the notion that adopting a TGD identity is an attempt to avoid sexual minority stigma.
The deleterious effect of unfounded hypotheses stigmatizing TGD youth, particularly the ROGD hypothesis, cannot be overstated, especially in current and longstanding public policy debates. Indeed, the notion of ROGD has been used by legislators to prohibit TGD youth from accessing gender-affirming medical care, despite the considerable methodological limitations underlying the generation of this hypothesis, as well as the unequivocal support for gender-affirming medical care by multiple major medical organizations, including the American Medical Association, the American Academy of Pediatrics, the American Academy of Child & Adolescent Psychiatry, and the American Psychiatric Association.8 Multiple studies have revealed that prohibiting TGD adolescents from accessing gender-affirming medical care would be expected to have detrimental impacts on TGD youth wellbeing.16,–18,22 The current study adds to the extant research arguing against the ROGD hypothesis by providing evidence inconsistent with the theories that (1) social contagion drives TGD identities, with unique susceptibility among AFAB youth, and (2) that youth identify as TGD due to such identities being less stigmatized than cisgender sexual minority identities.
Limitations of this study include that data were collected through a school-based survey; therefore, TGD youth who do not attend school were not represented. Additionally, all participants included in this study lived in states that administered the YRBS gender identity question, thus TGD youth in other states are not represented. Moreover, the question through which the sex of participants was ascertained did not use the established 2-step method of asking about gender identity.19 Although our results should be understood in the context of this limitation, we posit that TGD youth are likely able to accurately differentiate between sex and gender identity, given that these characteristics are foundationally salient to their identities. Indeed, several studies found that TGD youth seem to accurately navigate the differences between their sex assigned at birth and gender identity.13,14,15 Moreover, it is unlikely that the proportion of youth who answered the sex question based on their gender identity would differ by sex assigned at birth. Thus, the ratio of youth by sex assigned at birth is likely to be largely unaffected.19 Future studies could use the 2-step method of determining gender identity to more accurately capture subgroup characteristics by sex assigned at birth and gender,19 although we also acknowledge that best practices for gender identity data collection are iterative and ever-evolving.15,20,21,23
Conclusions
By examining the AMAB:AFAB ratio of TGD adolescents across 16 states in 2017 and 2019, our findings are in direct contrast with central components of the ROGD hypothesis, as well as previous studies that used smaller samples from single clinics.9,10 The AMAB:AFAB ratio of TGD adolescents in the United States does not appear to favor TGD AFAB adolescents, and the notion of ROGD should not be used to restrict the provision of gender-affirming medical care for TGD adolescents. Results from this study also argue against the notions that TGD youth come to identify as TGD because of social contagion or to flee stigma related to sexual minority status.
Acknowledgments
We thank the YRBS adolescent participants and local education agencies for their continuous engagement in population health research.
Dr Turban conceptualized and designed the study and conducted the initial analyses; Brett Dolotina provided administrative support, assisted with initial analyses, and drafted the initial manuscript; Dana King coordinated data acquisition and assisted with initial analyses; Dr Keuroghlian supervised all phases of this study; and all authors critically reviewed and revised the manuscript for intellectual content, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.
Abbreviations
References
Competing Interests
CONFLICT OF INTEREST DISCLOSURES: Dr Turban reports receiving textbook royalties from Springer Nature and expert witness payments from the American Civil Liberties Union and Lambda Legal. He has received a pilot research award for general psychiatry residents from the American Academy of Child & Adolescent Psychiatry and its industry donors (Arbor and Pfizer) and a research fellowship from the Sorensen Foundation. Dr Keuroghlian reports receiving textbook royalties from McGraw Hill.
1. Center for Applied Transgender Studies, Chicago, IL
2. Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA
3. Perelman School of Medicine, Philadelphia, PA
4. University of Michigan School of Information, Ann Arbor, MI
5. Department of Health Behavior & Health Education ,University of Michigan School of Public Health, Ann Arbor, MI
6. Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA
7. Center for Transgender Medicine and Surgery, Boston Medical Center, Boston, MA
8. Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
9. Department of Social and Behavioral Sciences, Yale University School of Public Health, New Haven, CT
We write, as scientists, methodologists, and clinicians in gender-affirming care, our views to Turban and colleagues’ recent Pediatrics article, who also argue for better healthcare provision for transgender and nonbinary (trans) youths.1 The authors used Youth Risk Behavior Surveillance System (YRBSS) to examine the social contagion hypothesis of the unsubstantiated claim of rapid-onset gender dysphoria. While we agree with the authors that social contagion rhetoric should not be used to politically and medically argue against care provision for trans adolescents – as currently reflected with several anti-trans policies banning gender-affirming medical care2,3 – we identified critical theoretical premise and methodological concerns specific to the study’s social contagion’s conceptualization and data analysis.
Foremost, in alignment with several medical organizations, we assert that transphobia is a social contagion, and being transgender is not. Turban et al.’s sex-assigned ratio analysis draws in on Littman’s misconceptualized social contagion hypothesis, which was operationalized as parents’ observation of their trans kid having at least one trans friend, and occured more among parents with trans kids assigned female at birth (AFAB) than male assigned at birth (AMAB).4 The premise of social contagion hypothesis is a gross misinterpretation of trans communities’ social support and connectedness. Indeed, trans youths, when asked directly, seek out peer support as part of their developmental milestones and resiliency5. In addition, conducting analysis based on sex-assigned AMAB:AFAB-ratio is not conceptually a direct disconfirmation nor confirmation of the premise given Littman’s skewed study sample of mostly parents of AFAB trans kids. As such, the very phenomenon that is being interrogated by Turban et al.; the presence of a biased AMAB:AFAB-ratio, is an artifact, rather than a true, verifiable, testable component. Therefore, researchers and policymakers’ continued use of social contagion as a lens to account for trans youths’ connectedness with each other rests on misguided practice of theorizing, hypothesis testing, and legislating.
Turban et al. performed a trend analysis to provide point estimates of AFAB and AMAB trans youth nationally based on a subset of state samples. Unfortunately, this analysis used only two time points, which is insufficient for robust trend interpretation.The study’s data reporting error also severely misrepresents the sample. The estimates for the AMAB:AFAB-ratio are based on 16 states as shown in Table 1. However, only 10 states fielded the SOGI module in 2017,6 and of them only 9 had publicly available data.7 Similarly, only 14 states with public data fielded the SOGI module in 2019. Under these circumstances, the trend analysis is comparing subsets of trans youth from different states and any differences are likely due to sampling bias, undermining trend analysis.
There are also validity challenges regarding AMAB:AFAB-ratio point estimates. For 2017 and 2019, less than one-fifth and one-fourth, respectively, of the US states and territories are included in the analysis. Table 1 demonstrates the variability of AMAB:AFAB ratio both within and across states, and the outsized influence Maryland has on overall measures. Because the authors’ methodology did not account for oversampling, the “national” estimate is biased and driven by a single state. Additionally, the analysis neglects the survey sampling design. YRBSS state surveys are two-stage cluster samples and the data include weights that allow for state-level representative analyses. We have written elsewhere that such analyses are suboptimal for estimating trans populations when one-step gender identity measurements are used.8 This critique also applies to the pairwise comparative analyses between trans, cisgender sexual minority, and cisgender heterosexual youth in Turban et al’s study. Providing details of any approach regarding accounting of sampling schema would have benefitted the analysis. Also, there is a disproportionate representation of states in the Northeast, with a relative dearth of other regions. State-level variations in policy climates for trans youth in school likely influence participation in YRBSS.9–11 Thus, the approach used here cannot reliably provide national estimates that incorporate regional variation in policy climes.
We applaud the authors for interrogating the anti-transgender movement’s deleterious and unsubstantiated rhetoric. The critiques we raised represent challenges facing all researchers, trans and cis, who are forced to work with suboptimal data.12 However, science and public health as a tool of social justice requires methodological rigor in addition to conviction and intent. We find that the results were overinterpreted and that the theoretical and methodological shortcomings run the risk of being more harmful than supportive. Instead of studies with suboptimal data for policy change, we advocate for rigor in methods, comprehensive inclusion of trans individuals in health surveillance systems, and increased funding for prospective, representative datasets. In the absence of better data, studies like this one create methodological problems for future scientists to correct rather than allowing the science to scaffold toward a more just and equitable future for trans youth, and indeed trans communities generally.
Table 1: State Breakdown of Data Availability and AMAB:AFAB-Ratio among States with Public YRBSS Data
State
2017 AMAB:AFAB (ratio)
N=2302
2019 AMAB: AFAB (ratio)
N=1790
Colorado (CO)
6:9 (0.7)
10:7 (1.4)
Delaware (DE)
18:12 (1.5)
--
Florida (FL)
--
33:41 (0.8)
Hawaii (HI)
97:47 (2.1)
33:37 (0.9)
Maine (ME)
78:79 (1)
65:64 (1)
Maryland (MD)
881:542 (1.6)
342:278 (1.2)
Michigan (MI)
8:14 (0.6)
30:36 (0.8)
Nevada (NV)
--
9:13 (0.7)
New Jersey (NJ)
--
4:5 (0.8)
New York (NY)
--
113:77 (1.5)
Pennsylvania (PA)
--
8:14 (0.6)
Rhode Island (RI)
17:22 (0.8)
12:4 (3)
Vermont (VT)
124:115 (1.1)
143:138 (1)
Virginia (VA)
--
36:30 (1.2)
Wisconsin (WI)
22:15 (1.5)
7:12 (0.6)
Overall
1251:855 (1.46)
845:756 (1.12)
Excluding Maryland
370:313 (1.18)
503:478 (1.05)
“--” indicates that state did not field the SOGI module during that year
Note: Massachusetts does not provide permission for the CDC to share their data.
References
1. Turban JL, Dolotina B, King D, Keuroghlian AS. Sex Assigned at Birth Ratio Among Transgender and Gender Diverse Adolescents in the United States. Pediatrics. Published online August 3, 2022:e2022056567. doi:10.1542/peds.2022-056567
2. The Florida Health Department. Treatment of Gender Dysphoria for Children and Adolescnts. Accessed August 4, 2022. https://www.floridahealth.gov/newsroom/2022/04/20220420-gender-dysphoria-guidance.pr.html
3. Movement Advancement Project | Healthcare Laws and Policies. Accessed August 4, 2022. https://www.lgbtmap.org/equality-maps/healthcare_laws_and_policies/youth_medical_care_bans
4. Restar AJ. Methodological Critique of Littman’s (2018) Parental-Respondents Accounts of “Rapid-Onset Gender Dysphoria.” Arch Sex Behav. 2020;49(1):61-66. doi:10.1007/s10508-019-1453-2
5. Dowers E, White C, Cook K, Kingsley J. Trans, gender diverse and non-binary adult experiences of social support: A systematic quantitative literature review. Int J Transgender Health. 2020;21(3):242-257. doi:10.1080/26895269.2020.1771805
6. Johns MM, Lowry R, Andrzejewski J, et al. Transgender Identity and Experiences of Violence Victimization, Substance Use, Suicide Risk, and Sexual Risk Behaviors Among High School Students — 19 States and Large Urban School Districts, 2017. Morb Mortal Wkly Rep. 2019;68(3):67-71. doi:10.15585/mmwr.mm6803a3
7. Centers for Disease Control and Prevention. Participation Maps & History | YRBSS | Adolescent and School Health | CDC. Published August 18, 2021. Accessed August 4, 2022. https://www.cdc.gov/healthyyouth/data/yrbs/participation.htm
8. Lett E, Everhart A. Considerations for Transgender Population Health Research Based on US National Surveys. Ann Epidemiol. Published online October 28, 2021. doi:10.1016/j.annepidem.2021.10.009
9. Movement Advancement Project | Safe Schools Laws. Accessed August 4, 2022. https://www.lgbtmap.org/equality-maps/safe_school_laws
10. Kosciw JG, Clark CM, Truong NL, Zongrone AD. The 2019 National School Climate Survey: The Experiences of Lesbian, Gay, Bisexual, Transgender, and Queer Youth in Our Nation’s Schools. A Report from GLSEN. ERIC; 2020.
11. State Policy Scorecards | GLSEN. Accessed August 4, 2022. https://maps.glsen.org/state-policy-scorecards/
12. Baker KE, Streed CG, Durso LE. Ensuring That LGBTQI+ People Count — Collecting Data on Sexual Orientation, Gender Identity, and Intersex Status. N Engl J Med. 2021;384(13):1184-1186. doi:10.1056/NEJMp2032447