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. Author manuscript; available in PMC: 2018 Jun 18.
Published in final edited form as: AIDS Behav. 2017 Mar;21(3):949–961. doi: 10.1007/s10461-016-1521-8

Table 2.

Sociodemographic characteristics, HIV risk factors, recruitment waves and indices of homophily among foreign migrant men in Cape Town, South Africa, 2013 (n = 578)

Variable Equa Hxb Sample Nc Sample %d RDS adjusted % 95 % CI
Socio-demographic characteristics
 Age (Missing = 0)
  16–24 5 0.305 134 23.2 28.0 22.0–34.4
  25–29 2 0.091 164 28.4 28.3 22.9–34.0
  30–34 4 0.097 153 26.5 23.4 18.3–28.8
  35–54 4 0.236 127 22.0 20.2 14.9–26.2
 Education status (Missing = 0)
  Primary school or less 4 0.284 187 32.4 34.6 27.8–41.5
  Some high school 3 0.168 108 18.7 19.2 14.2–24.9
  Completed high school 4 0.417 283 49.0 46.2 38.8–53.4
 Main source of income (Missing = 2)
  None 1 −0.048 87 15.1 15.8 11.5–20.3
  Wife/family members 2 0.123 108 18.2 19.0 14.6–24.1
  Paid work/employment 2 0.122 197 34.2 35.5 29.3–41.4
  Own business 2 0.203 146 25.4 21.1 16.5–26.5
  Shady deals/transactional sex/other 1 0.034 38 6.6 8.7 4.8–13.3
 Poverty status (Missing = 4)
  Enough money for basics or more 1 0.112 294 53.8 50.8 44.8–56.8
  Not enough money for food 1 0.016 253 46.2 49.2 43.2–55.2
 Marital status (Missing = 2)
  Married, living with wife 2 0.152 134 23.3 22.0 16.9–27.1
  Married, not living with wife 2 0.047 107 18.6 22.2 17.0–27.7
  Unmarried, living with sexual partner 2 0.080 101 17.5 15.9 11.7–20.6
  Unmarried, not living with sexual partner 1 0.076 234 40.6 39.9 34.0–46.1
 Housing type (Missing = 0)
  Shack/backyard dwelling 2 0.158 272 47.1 48.6 42.6–55.3
  Brick house/apartment and other types 2 0.247 306 52.9 51.4 44.7–57.4
Migration factors
 Country of origin (Missing = 0)
  Zimbabwe 17 0.759 165 28.6 26.6 16.5–39.1
  Congo/DRC 23 0.858 169 29.2 29.4 17.4–43.7
  Malawi 12 0.735 34 5.9 5.8 0.7–13.9
  Tanzania 13 0.743 135 23.4 27.5 16.1–39.1
  Other 5 0.522 75 13.0 10.7 5.8–15.4
 Length of stay in south africa (Missing = 0)
  12 months or less 3 0.171 100 17.3 24.8 18.9–31.2
  13 months–5 years 2 0.123 288 49.8 50.6 44.2–56.9
  > 5 years 3 0.286 190 32.9 24.6 19.2–30.4
 Documentation (Missing = 0)
  Asylum/Refugee/Visa/Other 1 0.059 479 82.9 78.2 72.4–83.4
  No papers 1 0.307 99 17.1 21.8 16.6–27.6
 Main push/pull factor (Missing = 0)
  To find work 3 0.246 228 39.5 44.8 37.9–51.8
  To get a better education 3 0.239 94 16.3 17.1 12.5–22.7
  Escaping political persecution 2 0.142 160 27.7 23.0 17.9–28.6
  Unhappy home life/other 2 −0.012 96 16.6 15.1 10.8–18.8
Behavioral HIV risk factors
 Alcohol use frequency in the past 12 months (Missing = 2)
 Never 2 0.120 271 47.1 47.7 41.8–53.8
 A few times a month or less 2 0.071 214 37.2 35.0 29.3–40.5
 Weekly 1 0.093 91 15.8 17.3 12.5–23.2
 STI symptoms in past 3 months (Missing = 2)
 No 1 0.112 464 80.6 79.4 73.6–84.4
 Yes 1 0.030 122 19.4 20.6 15.6–26.4
 Number of sexual partners in past 3 months (Missing = 28)
 None 2 0.022 150 27.2 30.8 25.1–37.9
 One 1 0.041 216 39.3 34.9 29.8–41.9
 Two 1 −0.338 74 13.5 16.4 10.6–19.8
 Three or more 2 0.023 110 20.0 17.9 13.4–22.1
 Anal sex with a man in the past 6 months (Missing = 4)
 None 1 0.067 451 94.3 93.8 89.9–97.0
 Any 1 0.180 33 5.8 6.2 3.0–10.1
 Transactional sex in the past 3 months (missing = 4)
 None 1 0.014 417 72.7 73.0 67.7–78.2
 Any 1 0.038 157 27.4 27.0 21.8–32.3
Sexual risk factors among recently sexually active men (N = 428)
 Condom use frequency (Missing = 27)
 Inconsistent 1 0.175 241 60.1 52.8 41.9–60.7
 Always 1 −0.112 160 39.1 47.2 39.3–58.1
 Condom use at last sex (Missing = 24)
 No 1 0.059 129 31.9 26.4 20.1–33.9
 Yes 1 −0.076 275 68.1 73.6 66.1–79.9
a

Number of waves expected to reach Equilibrium

b

Homophily index

c

N’s may not sum to 578 due to missing data

d

Valid percents shown