Table 7. Demographics based on type of gender-affirming surgery: Feminizing versus masculinizing.
| Feminizing (N = 293) |
Masculinizing (N = 917) |
All (N = 1210) |
p-valuea | |
|---|---|---|---|---|
| Age at index dateb | <0.001 | |||
| < = 20 | 11 (3.8%) | 163 (17.8%) | 174 (14.4%) | |
| 21–30 | 104 (35.5%) | 541 (59.0%) | 645 (53.3%) | |
| 31–40 | 86 (29.4%) | 148 (16.1%) | 234 (19.3%) | |
| 41–64 | 72 (24.6%) | 63 (6.9%) | 135 (11.2%) | |
| 65+ | 20 (6.8%) | 2 (0.2%) | 22 (1.8%) | |
| Age at index date—Mean (SD) | 37.7 (14.1) | 27.2 (8.05) | 29.7 (10.8) | <0.001 |
| Surgery start year | <0.001 | |||
| 2013–2016 | 8 (2.7%) | 166 (18.1%) | 174 (14.4%) | |
| 2017–2018 | 24 (8.2%) | 177 (19.3%) | 201 (16.6%) | |
| 2019 | 37 (12.6%) | 99 (10.8%) | 136 (11.2%) | |
| 2020 | 42 (14.3%) | 108 (11.8%) | 150 (12.4%) | |
| 2021 | 74 (25.3%) | 134 (14.6%) | 208 (17.2%) | |
| 2022–2023 | 108 (36.9%) | 233 (25.4%) | 341 (28.2%) | |
| Surgery start year–Mean (SD) | 2020 (1.72) | 2020 (2.59) | 2020 (2.48) | 1.00 |
| Race | 0.055c | |||
| White | 255 (89.8%) | 769 (86.4%) | 1024 (84.6%) | |
| Black or African American | 1 (0.4%) | 20 (2.2%) | 21 (1.7%) | |
| Asian | 8 (2.8%) | 20 (2.2%) | 28 (2.3%) | |
| American Indian/Alaska Native | 7 (2.5%) | 13 (1.5%) | 20 (1.7%) | |
| Native Hawaiian/Pacific Islander | 1 (0.4%) | 3 (0.3%) | 4 (0.3%) | |
| Other | 12 (4.1%) | 65 (7.3%) | 77 (6.4%) | |
| Unknown race | 9 (-) | 27 (-) | 36 (3.0%) | |
| Ethnicity | 0.006 | |||
| Hispanic/Latino | 17 (6.1%) | 108 (12.3%) | 125 (10.3%) | |
| Not Hispanic/Latino | 260 (93.9%) | 773 (87.7%) | 1033 (85.4%) | |
| Unknown ethnicity | 16 (-) | 36 (-) | 52 (4.3%) | |
| Body Mass Index categoryd | <0.001 | |||
| Underweight (<18.5) | 12 (4.1%) | 14 (1.6%) | 26 (2.1%) | |
| Normal (18.5–24.99) | 124 (42.6%) | 293 (32.6%) | 417 (34.5%) | |
| Overweight (25.0–29.99) | 85 (29.2%) | 260 (29.0%) | 345 (28.5%) | |
| Obese (> = 30) | 70 (24.1%) | 331 (36.9%) | 401 (33.1%) | |
| Unknown BMI | 2 (-) | 19 (-) | 21 (1.7%) | |
| Body Mass Index—Mean (SD)d | 26.6 (6.13) | 28.7 (6.79) | 28.2 (6.70) | <0.001 |
| Body Mass Index—Mean (SD)e | 26.6 (6.09) | 28.6 (6.76) | 28.1 (6.65) | <0.001 |
| Marriage Status | ||||
| Married/Life partner | 85 (29.0%) | 216 (23.6%) | 301 (24.9%) | |
| Divorced/Legally separated | 33 (11.3%) | 24 (2.6%) | 57 (4.7%) | |
| Widowed | 7 (2.4%) | 0 (0%) | 7 (0.6%) | |
| Single | 150 (51.2%) | 620 (67.6%) | 770 (63.6%) | |
| Unknown/Other | 18 (6.1%) | 57 (6.2%) | 75 (6.2%) | |
| Sex (EHRf reported) | 0.093c | |||
| Female | 191 (65.4%) | 597 (65.4%) | 788 (65.1%) | |
| Male | 101 (34.7%) | 303 (33.2%) | 404 (33.4%) | |
| Nonbinary | 0 (0%) | 13 (1.4%) | 13 (1.1%) | |
| Unknown sex | 1 (-) | 4 (-) | 5 (0.4%) | |
| Gender identity | <0.001 c | |||
| Female | 86 (29.4%) | 14 (1.5%) | 100 (8.3%) | |
| Male | 2 (0.7%) | 118 (12.9%) | 120 (9.9%) | |
| Transgender Female | 174 (59.4%) | 3 (0.3%) | 177 (14.6%) | |
| Transgender Male | 1 (0.3%) | 344 (37.5%) | 345 (28.5%) | |
| Non-binary | 9 (3.1%) | 133 (14.5%) | 142 (11.7%) | |
| Unknown gender identity | 21 (7.2%) | 305 (33.3%) | 326 (26.9%) | |
| Insurance status | <0.001 c | |||
| Commercial | 217 (74.1%) | 642 (70.0%) | 859 (71.0%) | |
| Medicaid | 32 (10.9%) | 57 (6.2%) | 89 (7.4%) | |
| Medicare | 35 (11.9%) | 28 (3.1%) | 63 (5.2%) | |
| Misc Government | 2 (0.7%) | 23 (2.5%) | 25 (2.1%) | |
| Unknown insurance | 7 (2.4%) | 167 (18.2%) | 174 (14.4%) | |
| State | 0.003 § | |||
| Idaho | 19 (6.5%) | 77 (8.4%) | 96 (7.9%) | |
| Nevada | 12 (4.1%) | 35 (3.8%) | 47 (3.9%) | |
| Utah | 243 (82.9%) | 668 (72.9%) | 911 (75.3%) | |
| Wyoming | 2 (0.7%) | 14 (1.5%) | 16 (1.3%) | |
| Other statesg | 17 (5.8%) | 122 (13.3%) | 139 (11.5%) | |
| Unknown state | 0 (-) | 1 (-) | 1 (0.1%) | |
| Rurality | 0.893 | |||
| Urban | 266 (90.8%) | 836 (91.3%) | 1102 (91.1%) | |
| Rural | 27 (9.2%) | 80 (8.7%) | 107 (8.8%) | |
| Unknown | 0 (-) | 1 (-) | 1 (0.1%) | |
| Surgery type | <0.001 | |||
| Top | 73 (24.9%) | 834 (90.9%) | 907 (75.0%) | |
| Bottom | 156 (53.2%) | 42 (4.6%) | 198 (16.4%) | |
| Both | 64 (21.8%) | 41 (4.5%) | 105 (8.7%) | |
aMissing values were not included when calculating the p-values (chi-square test is used to compare categories, t-test is used to compare means).
bIndex date = year of first surgery.
c Fisher’s exact test used.
dMean BMI before and closest to index date.
eMean BMI of all BMI’s prior to index date.
fEHR = Electronic Health Record.
gOther state include: AZ, CA, CO, CT, HI, IL, KY, MD, MO, MS, MT, NM, NY, OH, OK, OR, PA, SC, SD, TN, TX, WA.