Article Figures & Data
Tables
Characteristic Weighted Value Age, mean (95% CI), y 42.1 (41.5-42.8) Gender identity, No. (%) Trans woman 9,238 (56.09) Trans man 7,950 (23.38) Assigned female at birth, genderqueer/nonbinary 7,844 (14.03) Assigned male at birth, genderqueer/nonbinary 1,925 (6.51) Race, No. (%) White 21,980 (64.24) Latinx/Hispanic 1,451 (15.17) Black/African American 782 (14.80) Asian/Native Hawaiian/Pacific Islander 767 (3.36) Alaska Native/American Indian 314 (0.96) Biracial/multiracial/not listed 1,533 (2.22) Middle Eastern/North African 130 (0.23) Education, No. (%) Less than high school 892 (13.85) High school 3,384 (27.55) Some college 12,544 (31.32) Bachelor’s degree or higher 10,137 (27.27) At or near poverty level, No. (%) 8,563 (29.78) Ever interested in hormones, No. (%) 21,237 (83.43) Currently using hormones,a No. (%) 12,037 (55.04) Uninsured, No. (%) 3,362 (15.51) Insurance denied hormone claim,b No. (%) 2,528 (20.81) Using nonprescription hormones,c No. (%) 992 (9.17) Notes: Because of missing values, not all categories add up to 100%.
↵a Of respondents who were not in active military service. This group was excluded here because of their particular pathways and barriers to accessing hormone.
↵b Of insured respondents who requested coverage.
↵c Of respondents taking hormones.
- Table 2.
Association Between Insurance Status and Gender-Affirming Hormone Use Among Respondents to the 2015 US Transgender Survey
Characteristic Use of Nonprescription Hormones, Among Those Using Hormonesa (n = 12,037) Use of Hormones, Among Those Interested (n = 21,237) aOR (95% CI) P Value aOR (95% CI) P Value Uninsured (compared with insured) 2.64 (1.88-3.71) <.001 0.37 (0.24-0.56) <.001 Age (for each additional year) 0.986 (0.975-0.996) .008 0.969 (0.96-0.98) <.001 Gender identity (compared with trans man) Trans woman 3.71 (2.30-5.00) <.001 0.56 (0.40-0.77) <.001 Assigned female at birth, genderqueer/nonbinary 2.41 (1.25-4.65) .009 0.16 (0.10-0.23) <.001 Assigned male at birth, genderqueer/nonbinary 6.02 (2.82-12.82) <.001 0.19 (0.10-0.39) <.001 Race (compared with White) Alaska Native/American Indian 0.49 (0.22-1.09) .08 0.93 (0.35-2.44) .88 Asian/Native Hawaiian/Pacific Islander 2.72 (0.94-7.89) .06 1.30 (0.65-2.62) .45 Biracial/multiracial/not listed 3.28 (1.92-5.61) <.001 1.23 (0.76-1.98) .39 Black/African American 0.92 (0.55-1.56) .77 0.75 (0.40-1.38) .35 Latinx/Hispanic 1.07 (0.60-1.89) .82 1.01 (0.51-1.97) .98 Middle Eastern/North African 3.68 (0.66-20.45) .14 2.06 (0.50-8.39) .31 Education (compared with less than high school) High school 1.38 (0.62-3.08) .43 0.47 (0.19-1.17) .10 Some college 1.32 (0.63-2.78) .46 0.56 (0.24-1.27) .16 Bachelor’s degree or higher 1.13 (0.51-2.50) .76 0.50 (0.22-1.15) .10 At or near poverty level 0.80 (0.57-1.13) .20 0.76 (0.51-1.14) .19 aOR = adjusted odds ratio.
Note: Data analyzed using weighted multivariable logistic regression. For all analyses, crossdressers were excluded from the overall sample because of their unique characteristics.
↵a Analysis excluded respondents currently in active military service, given their unique pathways to accessing gender-affirming hormones.
- Table 3.
Association Between Insurance Claim Denial and Gender-Affirming Hormone Use Among Insured Respondents to the 2015 US Transgender Survey
Characteristic Use of Nonprescription Hormones, Among Those Using Hormonesa (n = 10,841) Use of Hormones, Among Those Interested (n = 18,516) aOR (95% CI) P Value aOR (95% CI) P Value Claim for hormones denied by insurance 2.53 (1.61-3.97) <.001 0.89 (0.57-1.39) .60 Age (for each additional year) 0.98 (0.96-0.99) <.001 0.97 (0.95-0.99) .02 Gender identity (compared with trans man) Trans woman 5.42 (3.56-8.25) <.001 0.54 (0.34-0.86) .009 Assigned female at birth, genderqueer/nonbinary 1.54 (0.83-2.86) .17 0.13 (0.07-0.23) <.001 Assigned male at birth, genderqueer/nonbinary 8.90 (3.22-24.62) <.001 0.80 (0.25-2.30) .70 Race (compared with White) Alaska Native/American Indian 0.55 (0.19-1.55) .26 0.53 (0.15-1.80) .30 Asian/Native Hawaiian/Pacific Islander 4.04 (0.95-17.29) .06 1.05 (0.44-2.46) .92 Biracial/multiracial/not listed 3.22 (1.76-5.90) <.001 0.84 (0.42-1.69) .62 Black/African American 1.33 (0.70-2.54) .39 1.17 (0.60-2.27) .65 Latinx/Hispanic 1.31 (0.63-2.73) .47 1.05 (0.46-2.41) .90 Middle Eastern/North African 6.49 (1.07-39.28) .04 Education (compared with less than high school) High school 1.24 (0.37-4.11) .72 0.34 (0.11-1.11) .07 Some college 1.09 (0.35-3.37) .87 0.56 (0.19-1.63) .29 Bachelor’s degree or higher 0.94 (0.28-3.20) .92 0.40 (0.13-1.19) .10 At or near poverty 0.72 (0.30-1.21) .22 0.79 (0.50-1.25) .32 aOR = adjusted odds ratio.
Note: Data analyzed using weighted multivariable logistic regression. For all analyses, crossdressers were excluded from the overall sample because of their unique characteristics.
↵a Analysis excluded respondents currently in active military service, given their unique pathways to accessing gender-affirming hormones.
