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. 2023 Aug 5;23:1493. doi: 10.1186/s12889-023-16348-6

Table 1.

Distribution of characteristics of transgender women vs. cis-gender men who have sex with men (MSM), Kenya

Characteristicsa Transgender women 
N = 108 (12.9%)
n (%)
Cis-gender MSM
N = 730 (87.5%)
n (%)
P-value
Site  < 0.001
 Kisumu 39 (36.1) 261 (35.5)
 Nairobi 21 (19.4) 277 (37.8)
 Mtwapa 18 (16.7) 112 (15.3)
 Malindi 30 (27.8) 83 (11.4)
Socio-Demographics
 Age group, in years 0.924
  18–20 20 (18.5) 141 (19.4)
  21–23 47 (43.5) 294 (40.4)
  24–26 29 (26.9) 199 (27.4)
  27–29 12 (11.1) 93 (12.8)
 Median (IQR) age in years 23 (21–25) 23 (21–25) 0.782
 Highest educational attainment  < 0.001
  Primary 1–8 33 (30.6) 110 (15.1)
  Some secondary 23 (21.3) 88 (12.1)
  Secondary 32 (29.6) 355 (48.6)
  Some college or more 20 (18.5) 177 (24.2)
 Employment status 0.354
  Unemployed 40 (37.0) 293 (40.7)
  Self-Employed/casual work 50 (46.3) 282 (39.2)
  Employed, parttime or full time 18 (16.7) 145 (20.1)
 Ever married to female 12 (11.1) 92 (12.6) 0.661
 Currently living with female wife or female sex partner 16 (14.8) 113 (15.5) 0.854
 Currently living with male sex partner 61 (56.5) 332 (45.5) 0.034
Sexual practices (recall period is past 3 months unless otherwise specified)
 Receptive anal intercourse (RAI) with a male partner 93 (86.1) 410 (56.6)  < 0.001
 Used condom last RAI 72 (77.4) 333 (80.4) 0.512
 Median (IQR) number of total male sex partners 4 (2–7) 3 (2–6) 0.005
  0-1b 6 (5.6) 115 (15.9) 0.012
  2 24 (22.4) 150 (20.8)
  3 14 (13.1) 124 (17.2)
  4 or more 63 (58.9) 334 (46.2)
 Median (IQR) number of paying male sex partners 2 (1–4) 1 (0–3) 0.021
  Zero 25 (23.8) 209 (29.2) 0.008
  1–2 36 (34.3) 313 (43.7)
  3 or more 44 (41.9) 194 (27.1)
 Median (IQR) number of female sex partners 1 (0–2) 1 (0–3) 0.488
  Zero 45 (44.5) 311 (44.1) 0.518
  1–2 34 (33.7) 207 (29.4)
  3 or more 21 (21.8) 187 (26.5)
 Any paying female sex partners 37 (36.3) 193 (27.9) 0.080
 Ever in lifetime had sex with a transgender female 74 (68.5) 350 (48.0)  < 0.001
 Last sex partner was male 105 (97.2) 620 (85.1) 0.001
  Used condom at last sex 76 (72.4) 485 (78.2) 0.186
  Lubricant used at last sex 94 (89.5) 513 (82.9) 0.087
 Paid for sex with cash 49 (45.8) 266 (36.5) 0.065
 Engaged in group sex 28 (25.9) 134 (18.4) 0.065
 Any interpersonal violence 27 (25.0) 154 (21.1) 0.361
 Any childhood abuse 76 (71.0) 441 (60.8) 0.042
Mental health, stigma, and substance use
 PHQ-9, median (IQR) 5 (1–8) 3 (1–7) 0.112
 PHQ-9 ≥ 10 (moderate/severe depressive symptoms) 21 (19.8) 96 (13.3) 0.071
 Stigma and discrimination score, median (IQR) 9 (4–15) 7 (3–12) 0.015
 AUDIT, median (IQR) 7 (1–12) 4 (0–10) 0.066
 AUDIT ≥ 8 Hazardous/Harmful alcohol use 44 (41.5) 250 (34.9) 0.183
 DAST, median (IQR) 0 (0–3.75) 0 (0–4) 0.588
 DAST > 3 (moderate/substantial/severe) 31 (28.7) 244 (33.6) 0.316
 Number of elevated scores for mental health (PHQ ≥ 10), AUDIT (≥ 8), DAST (≥ 3), and stigma (highest quartile) 0.474
  0 34 (32.7) 278 (39.8)
  1 36 (34.6) 202 (28.9)
  2 18 (17.3) 127 (18.2)
  3 11 (10.6) 72 (10.3)
  4 5 (4.8) 19 (2.7)
HIV Risk and Prevention
 What are your chances of getting HIV/AIDS 0.030
  No chance at all 31 (28.7) 309 (42.5)
  Small chance 38 (35.2) 212 (29.1)
  Moderate chance 14 (13.0) 95 (13.1)
  Great chance 25 (23.2) 112 (15.4)
 Ever taken PrEP 0.038
  Never heard of it 10 (9.3) 107 (14.7)
  No 40 (37.0) 322 (44.2)
  Yes 58 (53.7) 300 (41.1)
 Still taking PrEP (among those ever taken PrEP) 45 (77.6) 183 (61.0) 0.016
Gender Affirming Therapies (GAT) Taken or Currently Using
 Any feminizing GAT 15 (14.0) 59 (8.2) 0.048
 Feminizing hormonal agents such as estradiol or progesterone 12 (11.2) 32 (4.4) 0.004
 Anti-androgen agents such as aldactone or spironolactone 3 (2.8) 21 (2.9)  > 0.999
 Silicone breast implants 2 (1.9) 12 (1.7) 0.700

aNot all cells sum to N due to missing data

bIncludes n = 19 participants who reported zero male sex partners in the past 3 months. The number of male sex partners is not inclusive of the number of paying male sex partners, as these questions were assessed separately

Chi-square test applied for categorical variables; Wilcoxon rank sum test applied for continuous data comparisons, as all had non-normal distribution