Cumulative Incidence of All-Cause Knee Injury, Concussion, and Stress Fracture among Transgender Patients on Gender-Affirming Hormone Therapy: An Exploratory Retrospective Cohort Study
Division of Family Medicine, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(22), 7060; https://doi.org/10.3390/ijerph20227060
Submission received: 22 August 2023
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Revised: 7 November 2023
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Accepted: 8 November 2023
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Published: 13 November 2023
Abstract
:Previous research has shown a discrepancy in incidences of knee injuries, stress fractures, and concussions between cisgender men and women. Little is known regarding the incidence of musculoskeletal injuries among patients on gender-affirming hormone therapy (GAHT). This retrospective cohort study examines cumulative incidence of knee injuries, concussions, and stress fracture injuries among transgender patients on GAHT at one health system from 2011–2020. Using relevant ICD-9 and 10 codes, incidences of knee injury, concussion, and stress fracture were calculated. Cohorts included 1971 transgender and 3964 cisgender patients. Transgender patients had significantly higher incidence of all-cause knee injuries over the study period, 109 (5.5%) versus 175 (4.4%) (p < 0.001; OR: 2.14, 95% CI [1.17–3.92]). Subgroup analysis showed significantly higher incidence of knee injuries among cisgender men (5.6%) versus cisgender women (4.1%) (p = 0.042) and among transgender women (6.6%) versus cisgender women (4.1%) (p = 0.005). There were no significant differences between incidences of concussion and stress fracture between groups. This sample showed that patients on GAHT had increased cumulative incidences of all-cause knee injury compared to controls but similar cumulative incidences of concussion and bone-stress injuries. Transgender women on exogenous estrogen had significantly higher cumulative incidences of all-cause knee injuries compared to cisgender women.
1. Introduction
Transgender and gender-diverse individuals are those whose gender identities differ from the sex assigned to them at birth [1]. Transgender women were assigned to the male sex at birth but identify as female. Transgender men were assigned to the female sex at birth but identify as male. Over 1.6 million adults identify as transgender in the United States. Of those, approximately 38.5% identify as transgender women, 35.9% as transgender men, and 25.6% as gender nonconforming [2].
Gender-affirming medical care is deeply personal and individualized and may include a combination of factors, including, but not limited to, psychological support, gender-affirming hormone therapy (GAHT), and surgical intervention. GAHT typically includes a combination of estrogen and anti-androgenic medications among transgender women and testosterone therapy among transgender men [1].
The initiation of GAHT has been shown to reduce gender dysphoria and positively impact quality of life [3]. Editorials and recent studies recognize the short-term effects of GAHT on lean body mass, muscular strength, hemoglobin, and hematocrit and long-term effects of GAHT on bone mineral density [4,5,6,7,8]. However, the short-term and long-term effects of GAHT on musculoskeletal health have otherwise not been elucidated.
While conversation surrounding the allowance and regulation of transgender athletes in elite sport has gained international attention recently, there is a notable paucity of data describing the incidence of injuries among these patients who have unique risk factors, including long-term exposure to exogenous hormones [9,10,11].
The effects of some endogenous hormones on injury risk, however, have been extensively studied in cisgender individuals. Previous studies have reported increased incidences of anterior cruciate ligament (ACL) injuries [12,13,14], concussions [15,16,17], and stress fractures in cisgender women compared to cisgender men [18,19,20,21,22]. It has been theorized that endogenous estrogen and testosterone may contribute to difference in injury incidence [13,14,15,21,22], and particularly compelling publications suggest that estrogen increases susceptibility of the ACL to injury [14,23,24,25,26,27,28,29]. Conversely, additional studies examining incidence of both all-cause and sports-related knee injuries, not limited to ACL sprains, show higher incidences of knee injuries in cisgender men compared to cisgender women [30,31].
This study aims to provide preliminary data on incidence of all-cause knee injuries, concussions, and stress fractures among a transgender patient population prescribed GAHT.
2. Materials and Methods
2.1. Design and Population
This exploratory retrospective cohort study was conducted at the University of Utah Health system in Salt Lake City, Utah. Available data were collected from 2011 through 2020. University of Utah Health is Utah’s only academic health care system and provides various forms of transgender health services, including GAHT and gender-affirming surgery. No patients were directly involved with this study. The University of Utah Institutional Review Board (IRB 00145187) exempted the study. An a priori power analysis was not performed before this exploratory study.
2.2. Transgender Cohort Selection
Using a previously described approach [32], transgender patients on GAHT were included in the transgender cohort if they met the following criteria: (1) Alive and between 18 and 65 years old at the time of an included medical system encounter, (2) Specific diagnoses recorded at the encounter OR gender data fields indicated transgender status (Table 1), and (3) the patient chart listed a prescription for hormone therapy anytime between 2011 and 2020. Consent was waived for this study.
2.3. Cisgender Cohort Selection
A cohort of transgender patients was matched with cisgender patients in a 1:2 ratio using a nonreplacement selection algorithm. A 1:2 ratio was chosen due to the significant difference in sample size of transgender patients within our health system compared to cisgender patients. Eligible cisgender patients were randomly selected from a pool of patients who were living and had at least one encounter in the health system. Cisgender patients were matched to transgender patients if they met the following criteria: (1) There was a +/− 1 year difference in age between the transgender and cisgender patients, (2) There was a +/− 1 year time difference between the most recent patient encounters within the health system. In this random selection, there was no recruitment process that could lead to a self-selection bias.
From the matched dataset, patients were excluded if they had prescriptions for both masculinizing and feminizing GAHT. Ultimately, 3964 cisgender or non-binary patients formed the matched cohort, whereas 885 transgender women, 928 transgender men, and 158 non-binary/other patients were included in subsequent clinical and demographic characteristic analyses.
2.4. Variables
From these records, three musculoskeletal injury categories were identified by ICD codes: Knee injury, Concussion, and Stress fracture. Further details of ICD codes are available in Table S1.
2.5. Statistical Analysis
Frequencies (n) and relative frequencies (%) were used to describe the characteristics of groups of patients for all categorical variables. p-values were calculated by chi-square test. The chi-square tests were conducted to assess the associations between the two cohorts. Further chi-square tests were conducted for musculoskeletal injury groups to assess associations with cisgender men, cisgender women, transgender men, and transgender women. There were also unadjusted calculations made of crude odds ratio (OR) and 95% confidence interval (95% CI).
p-value significance level was set to 0.05, such that a p-value less than or equal to the significance level suggested a significant association between the compared variable groups. The mean and standard deviation were calculated for continuous variables (age and body mass index (BMI)). All the above analyses were conducted in RStudio R version 4.2.0.
3. Results
3.1. Clinical and Demographic Characteristics
There were 5939 participants in our study: 1971 (33.2%) transgender patients and 3964 (66.8%) cisgender patients (Table 2). Among all transgender patients, 45.2% identified as transgender women, 46.8% as transgender men, and 8% as nonbinary (Table 2). Of all cisgender patients, 54.2% were female, 45.7% were male, and 0.1% identified as nonbinary. The average age of participants was 32 (Standard Deviation (SD) = 11). Among all subjects, 73.3% identified as White, 2.9% as Asian, and 2.2% as Black or African American. Mean BMI was 27.9 (SD = 7.41). Musculoskeletal injuries were identified in 230 controls and 125 cases (Table 3). Further demographic data for this subgroup is shown in Table 3.
3.2. Gender-Affirming Hormone Therapy
Among the transgender patient cohort, 46.9% were on feminizing hormones, 51.1% were on masculinizing hormones, and 1.9% were on a combination of feminizing and masculinizing hormones. GAHT medications by gender identity are described in Table 4. In this sample, 77% of transgender women were on a combination of estrogen and spironolactone; 10% were on estrogen alone; and 8% were on a combination of estrogen, spironolactone, finasteride, and progesterone. In this sample, 5% were on spironolactone alone. All transgender men were on testosterone-only GAHT (Table 4).
3.3. Knee Injury
Among the total study population, 284 (4.8%) participants were found to have had a knee injury over the study time period. Transgender patients had significantly higher incidence of knee injuries compared to cisgender patients (5.5% versus 4.4%, p < 0.001; OR: 2.14, 95% CI [1.17–3.92]) (Table 2).
All knee injury data were further analyzed to examine incidence in cisgender women and men and transgender women and men. Subgroup analysis showed significantly higher cumulative incidences of knee injuries among cisgender men (5.6%) versus cisgender women (4.1%) (p = 0.042; OR:0.73, 95% CI [0.55–0.98]) (Table 5). Analysis also showed significantly higher cumulative incidence of knee injuries among transgender women (6.6%) versus cisgender women (4.1%) (p = 0.005; OR:1.64, 95% CI [1.17–2.31]) (Table 5). There was no significant difference in cumulative incidence of knee injuries among cisgender men versus transgender men or cisgender women versus transgender men.
3.4. Concussion
There was no significant difference observed between incidences of concussions in transgender patients versus cisgender patients. Only 38 (0.7%) subjects had a diagnosis of concussion during the study period, 7 (0.4%) in the transgender cohort, and 31 (0.8%) in the cisgender cohort (p = 0.090) (Table 2). Concussion injury data by gender subgroup are shown in Table 5. Subgroup analysis did not find a significant difference in incidences between cisgender men versus transgender women. Further subgroup analysis was unable to be performed due to sparse cells and low sample size (Table 2).
3.5. Stress Fracture
Additionally, no significant difference was observed between cumulative incidence of stress fracture in transgender patients versus cisgender patients. Over the study period, 12 (0.2%) participants had a diagnosis of stress fracture, 3 (0.2%) in the transgender cohort, and 9 (0.2%) in the cisgender cohort (p = 0.643) (Table 2). Stress fracture data by gender subgroup is shown in Table 5. Subgroup analysis was unable to be performed due to sparse cells (Table 5).
4. Discussion
To our knowledge, this study is the first to examine cumulative incidence of a select group of common, all-cause musculoskeletal injuries in transgender patients. The all-cause and sport-related incidence of common musculoskeletal injuries has been extensively studied in cisgender individuals.
4.1. Knee Injury
Knee injuries are a common occurrence, and hundreds of studies report the incidence of both sport-related and all-cause knee injuries between cisgender males and females.
We found that transgender patients on GAHT had a significantly higher cumulative incidence of all-cause knee injuries compared to cisgender patients within our health system. These data were further analyzed for possible differences in incidence among patients with exposure to exogenous versus endogenous hormones. We found that transgender women receiving exogenous estrogen and/or testosterone-blocking agents had significantly higher incidence of knee injury compared to cisgender women.
This study cannot conclude that this is due to the influence of GAHT alone, in large part due to its retrospective design. There are likely multiple factors at play, not the least of which could be the significantly higher BMI in the study’s population of transgender patients. Whether this variable is independent or secondary to GAHT, as well as its correlation with knee injury risk, must be considered further. In essence, this comparison of transgender women on GAHT (male skeletal structure with exogenous female hormones) to cisgender women (female skeletal structure with endogenous female hormones) might indicate that exogenous female hormones are a greater risk factor for knee injury. One might argue that this comparison aligns with the cisgender men > cisgender women rates of knee injuries. When we analyzed the incidence of all-cause knee injuries between cisgender men (male skeletal structure with male hormones) and transgender women (male skeletal structure with exogenous female hormones), we found no significant difference in cumulative incidence in our study population.
Without any comparative studies available, we can only use these results to theorize that the hormonal influence of exogenous sex hormones may increase the risk of knee injuries—perhaps at a molecular, structural level or perhaps through its influence on BMI.
4.2. Concussion and Stress Fracture
Discrepancy in incidences of concussions and stress fractures between cisgender male and female athletes has been previously reported and theorized to stem, at least in part, from hormonal influence [15,16,17,18,19,20,21,22]. We performed similar analysis on incidence of concussions and bone stress injuries in our transgender and cisgender cohorts. We found a low incidence of concussion and bone stress injuries in both cohorts. We found no significant difference in injury rates between groups.
4.3. Limitations
This study includes many notable limitations. While the sample size is comparatively large, small injury sample size limited the power of our statistical analysis. A priori power analysis was not performed before the start of this study. We hope that future, multi-institution studies may allow for a larger sample of transgender patients and increased statistical power. Given our low sample size, we were unable to draw conclusions regarding differences in incidence of concussion and stress fractures between cohorts.
We acknowledge that BMI plays a pivotal role in knee injury and likely significantly influences our results. Indeed, BMI data show a higher percentage of overweight and obese transgender patients compared to controls, which may account for differences in incidence of knee injury between groups. BMI data were not available for a portion of our sample, and thus results were not adjusted for BMI. Race, ethnicity, and socioeconomic status may also have significant implications on incidence of knee injury, concussion, and stress fracture. A regression analysis was not performed, as in doing so we would be ignoring an imperative bias by the unmeasured confounders. Future study on incidence of these common musculoskeletal injuries should adjust for these variables and provide further clarity on the influence of specific variables on overall knee injury data.
Furthermore, our study is notably limited by lack of data on previous injury, physical activity level, sports participation, and profession, which can influence incidence of musculoskeletal injury. This information was unable to be obtained via the retrospective chart review. Future prospective research is necessary to obtain information on level of physical activity in patients and sports participation in patients to further inform musculoskeletal injury patterns.
While all patients in this study have been seen within our hospital system in the past 10 years, we acknowledge that they have varied exposure to GAHT. We did not analyze musculoskeletal injury with regard to duration of exposure to GAHT or level of measured estradiol or testosterone at time of injury. The timing of injury and its association with hormone levels could not be determined in this preliminary, retrospective design. Future studies should aim to further elucidate these relationships.
Classification of transgender cases into “sex assigned at birth” and “gender identity” relied, in part, on patient reporting of these data. Self-reported “sex assigned at birth” and “gender identity” data were incomplete in many of our transgender case records (620 records). If self-reported gender identity was unavailable, gender identity was determined by GAHT medications prescribed and verified by reported sex and sex assigned at birth. If sex assigned at birth was unavailable, it was determined by reported gender identity and GAHT medications.
While the authors have experience in the field of transgender medicine, they are not experts on formulations of exogenous hormones and may have made a clinical error in the interpretation of various formulations and combinations of estrogen, testosterone, and additional hormones used in GAHT. We attempted to utilize inclusive and accurate language in composing this report and apologize if there are any errors.
5. Conclusions
This exploratory retrospective cohort study provides preliminary data on incidence of select all-cause musculoskeletal injuries among transgender patients. The authors found that patients on GAHT had significantly increased cumulative incidence of knee injuries compared to an age-matched cisgender control cohort. Furthermore, transgender female patients on feminizing therapy had significantly increased incidence of knee injuries compared to the cisgender female sample. We did not find any significant difference in knee injury among patients on exogenous versus endogenous testosterone. We found no significant differences in incidences of concussion or bone stress injuries among our transgender patients and controls and were unable to further analyze this data due to sparse cells and unrecorded data.
We are unable to conclude that exposure to GAHT is directly related to increased cumulative incidence of knee injuries compared to cisgender controls. Rather, the intent of this study is merely to report incidence of select musculoskeletal complaints in the transgender population compared to cisgender controls. Many unmeasured confounding variables exist in these populations, and we are unable to account for these variables with a regression given our sample size. Further study is warranted to develop more detailed descriptions of the incidence of musculoskeletal injuries in the transgender population as a whole as well as the transgender athlete population. These studies must include larger samples to increase power in these analyses and provide clarity regarding the influence of specific confounding variables, including, but not limited to BMI, race, ethnicity, age, level of activity, socioeconomic status, and exposure to GAHT.
While many previous studies have reported discrepancies in incidence of sport related injuries between cisgender men and women, there is a paucity of data surrounding injury incidence in transgender individuals. As more international attention turns to regulating the participation of transgender athletes in sport, we aim to elucidate the musculoskeletal risks to these patients compared to their cisgender counterparts. Further characterization of injury incidences among transgender athletes will allow us to provide equitable healthcare to this vulnerable population.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph20227060/s1, Table S1: Included Musculoskeletal Injuries Diagnosis at Encounter.
Author Contributions
Conceptualization, E.W.M., J.K. and D.O.; methodology, E.W.M., J.K. and D.O.; formal analysis, A.C.; data curation, M.G.N.; writing—original draft preparation, review and editing, E.W.M., J.K., A.C. and E.T.; supervision, J.K. and D.O.; funding acquisition, J.K., E.W.M. and E.T. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported in part by the Health Studies Fund, Department of Family and Preventive Medicine, University of Utah Spencer Fox Eccles School of Medicine.
Institutional Review Board Statement
The University of Utah Institutional Review Board (IRB 00145187) exempted the study.
Informed Consent Statement
Informed consent was waived for this study. No patients were directly involved in this study. This study included retrospective chart review alone. Information was collected for future clinical care, and the research performed did not change the care the individual received.
Data Availability Statement
The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy.
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
Transgender Patient on Gender-Affirming Hormone Therapy Criteria; Diagnoses at Encounter or Gender Data Field.
Table 1.
Transgender Patient on Gender-Affirming Hormone Therapy Criteria; Diagnoses at Encounter or Gender Data Field.
| Sex Assigned at Birth a | Sex/Gender Identity at Encounter | Transgender Patient Status (with Corresponding Gender-Affirming Hormone Therapy) |
|---|---|---|
| Male | Female | Transgender Woman |
| Female | Male | Transgender Man |
| - | Transgender Woman | Transgender Woman |
| - | Transgender Man | Transgender Man |
| - | Non-Binary | Non-binary/Other/Unknown |
| - | Other | Non-binary/Other/Unknown |
| - | Agender | Non-binary/Other/Unknown |
| - | Gender Queer | Non-binary/Other/Unknown |
| - | Gender X | Non-binary/Other/Unknown |
| - | -/Choose not to Disclose | Non-binary/Other/Unknown |
a Sex defined as sex assigned at birth. If sex assigned at birth data unavailable, then determined as reported sex and verified by gender identity. Gender identity determined by reported gender identity. If unavailable, then determined by GAHT medications taken and by reported sex and sex assigned at birth. Gender identity of Transgender Man also categorized by testosterone-only GAHT medication records. Transgender on GAHT criteria were defined by the following: (1) Specific diagnoses recorded at the encounter OR gender data fields indicated transgender status (Table 1) AND (2) the patient chart listed a prescription for hormone therapy anytime between 2011 and 2020.
Table 2.
Clinical and Demographic Characteristics.
| Population | Transgender Cohort | Cisgender Cohort | p-Value | ||||
|---|---|---|---|---|---|---|---|
| N | % | N | Vert % | N | Vert % | ||
| Included in Analysis (horiz %) | 5935 | 100 | 1971 | 33.2 | 3964 | 66.8 | |
| Musculoskeletal Injury | 0.096 | ||||||
| Knee | 284 | 4.8 | 109 | 5.5 | 175 | 4.4 | <0.001 * |
| Concussion | 38 | 0.7 | 7 | 0.4 | 31 | 0.8 | 0.090 |
| Stress Fracture | 12 | 0.2 | 3 | 0.2 | 9 | 0.2 | 0.643 |
| Multiple | 21 | 0.4 | 6 | 0.3 | 15 | 0.4 | 0.647 |
| Sex a | <0.001 * | ||||||
| Female | 3186 | 53.7 | 1036 | 52.6 | 2150 | 54.2 | |
| Male | 925 | 15.6 | 923 | 46.8 | 1812 | 45.7 | |
| Unknown/Non-Binary | 14 | 0.2 | 12 | 0.6 | 2 | 0.1 | |
| Gender Identity | |||||||
| Transgender Woman | - | - | 890 | 45.2 | - | - | |
| Transgender Man | - | - | 923 | 46.8 | - | - | |
| Non-binary/Other/Unknown | - | - | 158 | 8.0 | - | - | |
| GAHT Medications | - | - | - | - | |||
| Feminine Affirming b | - | - | 925 | 46.9 | - | - | |
| Masculine Affirming b | - | - | 1008 | 51.1 | - | - | |
| Mix | 38 | 1.9 | |||||
| Age, mean (Standard Deviation) | 32 | (11) | 32 | (11) | 32 | (11) | |
| Age-Categorized | 0.999 | ||||||
| 18 to 34 years | 4165 | 70.2 | 1383 | 70.2 | 2782 | 70.2 | |
| 35 to 49 years | 1189 | 20.0 | 395 | 20.0 | 794 | 20.0 | |
| 50 years and older | 581 | 9.8 | 193 | 9.8 | 388 | 9.8 | |
| Ethnicity | <0.001 | ||||||
| Non-Hispanic/Latino | 4555 | 76.7 | 1671 | 84.8 | 2880 | 72.7 | |
| Hispanic/Latino | 769 | 13.0 | 199 | 10.1 | 570 | 14.4 | |
| Unknown | 611 | 10.3 | 97 | 4.9 | 514 | 13.0 | |
| Race | <0.001 | ||||||
| White or Caucasian | 4353 | 73.3 | 1645 | 83.5 | 2708 | 68.3 | |
| American Indian/Alaska Native | 52 | 0.9 | 25 | 1.3 | 27 | 0.7 | |
| Asian | 173 | 2.9 | 45 | 2.3 | 128 | 3.2 | |
| Black or African American | 129 | 2.2 | 41 | 2.1 | 88 | 2.2 | |
| Native Hawaiian/Pacific Islander | 73 | 1.2 | 17 | 0.9 | 56 | 1.4 | |
| Other | 621 | 10.5 | 135 | 6.8 | 486 | 12.3 | |
| Unknown | 534 | 9.0 | 63 | 3.2 | 471 | 11.9 | |
| BMI, mean (Standard Deviation) | 27.99 | (7.41) | 28.50 | (7.10) | 27.63 | (7.07) | |
| Obesity-categorized (kg/m2) | <0.001 | ||||||
| Underweight (<18.50) | 129 | 2.2 | 55 | 2.8 | 74 | 1.9 | |
| Healthy Weight (18.50–24.99) | 1688 | 28.4 | 681 | 34.6 | 1007 | 25.4 | |
| Overweight (25.00–29.99) | 1206 | 20.3 | 501 | 25.4 | 705 | 17.8 | |
| Class 1 obesity (30.00–34.99) | 723 | 12.2 | 315 | 16.0 | 408 | 10.3 | |
| Class 2 obesity (35.00–39.99) | 383 | 6.5 | 197 | 10.0 | 186 | 4.7 | |
| Class 3 obesity (40.00+) | 303 | 5.1 | 148 | 7.5 | 155 | 3.9 | |
| Unknown c | 1503 | 25.3 | 74 | 3.8 | 1429 | 36.0 | |
GAHT: Gender-Affirming Hormone Therapy. BMI: body mass index. * There was a significant difference in musculoskeletal injuries being knee injuries between transgender patients and cisgender patients (p < 0.001; crude OR: 2.14, 95% CI [1.17–3.92]). There was also a significant difference in biological sex between transgender patients and cisgender patients (p < 0.001), with higher number of unknown/nonbinary in transgender patients. p-value by chi-square test, a Sex defined as sex assigned at birth. If sex assigned at birth data unavailable, then determined as reported sex and verified by gender identity. Gender identity determined by reported gender identity. If unavailable, then determined by GAHT medications taken and by reported sex and sex assigned at birth. Transgender on GAHT criteria were defined by the following: (1) Specific diagnoses recorded at the encounter OR gender data fields indicated transgender status (Table 1) AND (2) the patient chart listed a prescription for hormone therapy anytime between 2011 and 2020. b Included GAHT Medication(s) feminizing hormones: (Estradiol), (Spironolactone), (Estradiol Valerate; Spironolactone), (Estradiol; Estradiol Cypionate; Estradiol Valerate; Finasteride; Spironolactone), (Estradiol; Estradiol Cypionate; Estradiol Valerate; Spironolactone), (Estradiol; Estradiol Valerate; Finasteride; Spironolactone), (Estradiol; Estradiol Valerate; Spironolactone), (Estradiol; Finasteride; Spironolactone), (Estradiol; Spironolactone), (Estradiol; Estradiol Cypionate; Spironolactone), (Estradiol; Estradiol Valerate; Finasteride; Progesterone Micronized; Spironolactone). Included GAHT Medication(s) masculinizing hormones: (Testosterone Cypionate), (Testosterone Cypionate; Testosterone Enanthate), (Testosterone; Testosterone Cypionate), (Testosterone Cypionate and Prop (Propionate)), (Testosterone; Testosterone Cypionate; Testosterone Enanthate), and (Testosterone Undecanoate). Feminine affirming are Estradiol or Spironolactone-type formulations; Masculine affirming are Testosterone-type formulations. Records, including both Feminine-affirming and Masculine-affirming hormones, are included in the mixed category (estradiol type + testosterone type). c 74 case records had no BMI record.
Table 3.
Musculoskeletal Injury subpopulation clinical and demographic characteristics.
| Sub Population | Case | Control | p-Value | ||||
|---|---|---|---|---|---|---|---|
| N | % | N | Vert % | N | Vert % | ||
| Included in Analysis (horiz %) | 355 | 100 | 125 | 35 | 230 | 65 | |
| Age, mean (Standard Deviation) | 36 | (13) | 38 | (12) | 35 | (13) | |
| Age-Categorized | 0.010 | ||||||
| 18 to 34 years | 198 | 56 | 55 | 44 | 143 | 62 | |
| 35 to 49 years | 99 | 28 | 45 | 36 | 54 | 23 | |
| 50 years and older | 58 | 16 | 25 | 20 | 33 | 14 | |
| Sex a | 0.295 | ||||||
| Female | 172 | 48 | 64 | 51 | 108 | 47 | |
| Male | 183 | 52 | 61 | 49 | 122 | 53 | |
| Gender Identity | |||||||
| Transgender Woman | - | - | 64 | 51 | - | - | |
| Transgender Man | - | - | 40 | 32 | - | - | |
| Non-binary | - | - | 8 | 6 | - | - | |
| Other | - | - | 11 | 9 | - | - | |
| Choose not to disclose | - | - | 2 | 2 | - | - | |
| Ethnicity | 0.923 | ||||||
| Non-Hispanic/Latino | 302 | 85 | 105 | 84 | 197 | 86 | |
| Hispanic/Latino | 33 | 9 | 12 | 10 | 21 | 9 | |
| Unknown | 20 | 6 | 8 | 6 | 12 | 5 | |
| Race | 0.395 | ||||||
| White or Caucasian | 285 | 80 | 101 | 81 | 180 | 78 | |
| American Indian/Alaska Native | 5 | 1 | 4 | 3 | 1 | ||
| Asian | 7 | 2 | 2 | 2 | 5 | 2 | |
| Black or African American | 11 | 3 | 4 | 3 | 7 | 3 | |
| Native Hawaiian/Pacific Islander | 8 | 2 | 2 | 2 | 6 | 2 | |
| Other | 29 | 8 | 9 | 7 | 20 | 9 | |
| Unknown | 14 | 4 | 3 | 24 | 11 | 5 | |
| BMI, mean (Standard Deviation) | 28.60 | (8.44) | 29.49 | (8.87) | 28.04 | (8.13) | |
| Obesity-categorized (kg/m2) | 0.246 | ||||||
| Underweight (<18.50) | 5 | 1 | - | - | 5 | 2 | |
| Healthy Weight (18.50–24.99) | 134 | 38 | 44 | 35 | 90 | 39 | |
| Overweight (25.00–29.99) | 73 | 21 | 32 | 25 | 42 | 18 | |
| Class 1 obesity (30.00–34.99) | 54 | 15 | 20 | 16 | 33 | 15 | |
| Class 2 obesity (35.00–39.99) | 35 | 10 | 15 | 12 | 20 | 9 | |
| Class 3 obesity (40.00+) | 30 | 8 | 14 | 11 | 16 | 7 | |
| Unknown | 24 | 7 | - | - | 24 | 10 | |
p-value by chi-square test or Fisher’s exact test as applicable. a Sex defined as sex assigned at birth. If sex assigned at birth data unavailable, then determined as reported sex and verified by gender identity. Gender identity determined by reported gender identity. If unavailable, then determined by GAHT medications taken and by reported sex and sex assigned at birth. Transgender on GAHT criteria were defined by the following: (1) Specific diagnoses recorded at the encounter OR gender data fields indicated transgender status (Table 1) AND (2) the patient chart listed a prescription for hormone therapy anytime between 2011 and 2020.
Table 4.
Gender-Affirming Hormone Therapy Medication by Gender Identity.
| Case (Vertical %) | Total (Vert %) | |||
|---|---|---|---|---|
| Transgender Women | Transgender Men | Other Patient (Non-Binary) | ||
| Estrogen-only formulations a | 92 (10) | - | 8 (5) | 100 (5) |
| Testosterone-only formulations | - | 923 (100) | 79 (50) | 1002 (51) |
| Spironolactone | 48 (5) | - | 26 (16) | 74 (4) |
| Estrogen formulation; Spironolactone | 681 (77) | - | 37 (23) | 718 (36) |
| Estrogen formulation; Other b | 69 (8) | - | 8 (5) | 77 (4) |
| Total (Horiz. %) | 890 (45) | 923 (47) | 158 (8) | 1971 |
a Estrogen Formulations; Testosterone Formulations excluded (four cases). b “Other” formulation Finasteride (n = 6), finasteride-included mixes (n = 69), and Progesterone Micronized-included mixes (n = 5).
Table 5.
Musculoskeletal Injuries Incidence Comparison by Gender.
| Transgender Women | Transgender Men | Cisgender Men | Cisgender Women | p-Values | ||
|---|---|---|---|---|---|---|
| Population a | 890 | 923 | 1812 | 2150 | ||
| Knee Injury | 59 (6.6) | 38 (4.1) | 101 (5.6) | 89 (4.1) | Cisgender Men vs. Transgender Women | 0.315 (OR:1.20, 95% CI [0.86–1.68]) |
| Cisgender Women vs. Transgender Men | 0.977 (OR:0.99, 95% CI [0.67–1.47]) | |||||
| Cisgender Women vs. Transgender Women | 0.005 (OR:1.64, 95% CI [1.17–2.31]) | |||||
| Cisgender Men vs. Cisgender Women | 0.042 (OR:0.73, 95% CI [0.55–0.98]) | |||||
| Concussion | 6 | 3 | 21 | 21 | Cisgender Men vs. Transgender Women | 0.241 (OR:0.58, 95% CI [0.23–1.44]) |
| Cisgender Women vs. Transgender Men | N/A | |||||
| Cisgender Women vs. Transgender Women | N/A | |||||
| Cisgender Men vs. Cisgender Women | 0.5769 (OR:0.84, 95% CI [0.46–1.55]) | |||||
| Stress Fracture | 4 | 1 | 8 | 5 | Cisgender Men vs. Transgender Women | N/A |
| Cisgender Women vs. Transgender Men | N/A | |||||
| Cisgender Women vs. Transgender Women | N/A | |||||
| Cisgender Men vs. Cisgender Women | N/A | |||||
p-value by chi-square test, as applicable. Calculated unadjusted odds ratio (OR) and 95% confidence interval (95% CI). a Estrogen Formulations; Testosterone Formulations excluded (four cases).
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Miro, E.W.; Taylor, E.; Curtin, A.; Newman, M.G.; Ose, D.; Knox, J. Cumulative Incidence of All-Cause Knee Injury, Concussion, and Stress Fracture among Transgender Patients on Gender-Affirming Hormone Therapy: An Exploratory Retrospective Cohort Study. Int. J. Environ. Res. Public Health 2023, 20, 7060. https://doi.org/10.3390/ijerph20227060
AMA Style
Miro EW, Taylor E, Curtin A, Newman MG, Ose D, Knox J. Cumulative Incidence of All-Cause Knee Injury, Concussion, and Stress Fracture among Transgender Patients on Gender-Affirming Hormone Therapy: An Exploratory Retrospective Cohort Study. International Journal of Environmental Research and Public Health. 2023; 20(22):7060. https://doi.org/10.3390/ijerph20227060
Chicago/Turabian StyleMiro, Emily W., Eliza Taylor, Andrew Curtin, Michael G. Newman, Dominik Ose, and Jordan Knox. 2023. "Cumulative Incidence of All-Cause Knee Injury, Concussion, and Stress Fracture among Transgender Patients on Gender-Affirming Hormone Therapy: An Exploratory Retrospective Cohort Study" International Journal of Environmental Research and Public Health 20, no. 22: 7060. https://doi.org/10.3390/ijerph20227060
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