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. 2019 Jun 17;5(2):e13771. doi: 10.2196/13771

Table 1.

Characteristics of the individuals who completed the questionnaire in Brazil, Mexico, and Peru (2018).

Characteristics Brazil
(N=11,367;
58.42%)
Mexico
(N=5,934;
30.50%)
Peru
N=2,156;
11.08%)
Total
(N=19,457)
P valuea
Age (years; n=19,456), median (interquartile range) 29 (24-35) 28 (24-34) 26 (22-31) 28 (24-34) N/Ab
  18-24 3222 (28.35) 1766 (29.76) 889 (41.23) 5877 (30.21) <.001
  25-35 5364 (47.19) 2991 (50.40) 970 (44.99) 9325 (47.93) N/A
  ≥36 2780 (24.46) 1177 (19.83) 297 (13.78) 4254 (21.86) N/A
Race (nonwhitec; n=13,446), n (%) 5363 (47.18) N/A 1672 (80.42) 7035 (52.32) <.001
Monthly incomed (n=18,660), n (%) N/A N/A N/A N/A <.001
  Low 5136 (45.18) 1544 (28.79) 710 (36.79) 7390 (39.60)
  Middle 4700 (41.35) 2400 (44.75) 948 (49.12) 7087 (37.98) N/A
  High 1531 (13.47) 1419 (26.46) 272 (14.09) 4183 (22.42) N/A
Schooling (≤ secondary education; n=19,300), n (%) 4378 (38.86) 1395 (23.60) 461 (21.69) 6234 (32.30) <.001
Sexual attraction (n=19,401), n (%) N/A N/A N/A N/A <.001
  Men 10,386 (91.54) 5212 (88.14) 1708 (79.74) 17,306 (89.20) N/A
  Women 152 (1.34) 54 (0.91) 67 (3.13) 273 (1.41) N/A
  Men/women 808 (7.12) 647 (10.94) 367 (17.13) 1822 (9.39) N/A
Steady partner (yes; n=19,294), n (%) 2916 (25.83) 1576 (26.77) 607 (28.67) 5099 (26.43) .02
Recruitment (n=19,457), n (%) N/A N/A N/A N/A <.001
  Grindr 7623 (67.06) 4801 (80.91) 925 (42.90) 13,349 (68.61) N/A
  Hornet 2489 (21.90) 569 (9.59) 20 (0.93) 3078 (15.82) N/A
  Facebook 780 (6.86) 230 (3.88) 1037 (48.10) 2047 (10.52) N/A
  Other 475 (4.18) 334 (5.63) 174 (8.07) 983 (5.05) N/A
Use of apps for sexual encounters (n=19,454), n (%) N/A N/A N/A N/A <.001
  Never 835 (7.35) 432 (7.28) 414 (19.20) 1681 (8.64) N/A
  Sometimes 4387 (38.60) 3336 (56.22) 1033 (47.91) 8756 (45.01) N/A
  Daily 6142 (54.05) 2166 (36.50) 709 (32.88) 9017 (46.35) N/A
Last HIV testing (n=19,352), n (%) N/A N/A N/A N/A <.001
  Previous 3 months 3516 (31.12) 1428 (21.15) 551 (25.74) 5495 (28.39) N/A
  Previous 6 months 1989 (17.60) 1031 (17.44) 321 (14.99) 3341 (17.26) N/A
  Previous 12 months 1835 (16.24) 843 (14.26) 277 (12.94) 2955 (15.27) N/A
  More than 12 months 1972 (17.45) 1259 (21.29) 468 (21.86) 3699 (19.11) N/A
Never 1986 (17.58) 1352 (22.86) 524 (24.47) 3862 (19.96) N/A
HIV risk perceptione (n=18,959), n (%) N/A N/A N/A N/A <.001
  Low 7746 (70.22) 3341 (57.41) 1218 (57.78) 12,305 (64.90) N/A
  Middle 2299 (20.84) 1845 (31.70) 652 (30.93) 4796 (25.30) N/A
  High 986 (8.94) 634 (10.89) 238 (11.29) 1858 (9.80) N/A
Preliminary eligibility for PrEPf (n=19,419), n (%) 7938 (70.03) 3668 (61.85) 1504 (69.82) 13,110 (67.51) <.001
Sexual behavior
  Number of male sexual partnersg (n=19,376), n (%) N/A N/A N/A N/A <.001
    None 873 (7.68) 1401 (23.82) 345 (16.2) 2619 (13.52) N/A
    1-5 6036 (53.11) 2872 (48.84) 1145 (53.78) 10,053 (51.88) N/A
    6-10 1958 (17.23) 821 (13.96) 290 (13.62) 3069 (15.84) N/A
    >10 2499 (21.99) 787 (13.38) 349 (16.39) 3635 (18.76) N/A
Condomless receptive anal sexg (yes; n=19,326), n (%) 4433 (39.34) 2368 (40.04) 954 (44.48) 7755 (40.13) <.001
Condomless insertive anal sexg (yes; n=19,322), n (%) 5106 (45.31) 2511 (42.45) 960 (44.90) 8577 (44.39) <.001
Sex with HIV+ male partnerg (yes; n=19,270), n (%) 1217 (10.82) 712 (12.08) 269 (12.64) 2198 (11.41) .002
Sex with unknown HIV status male partnerg (yes; n=19,133), n (%) 3911 (35.27) 2956 (49.98) 1108 (52.02) 7975 (41.68) <.001
Sex under alcohol useg (yes; n=19,414), n (%) 4190 (36.97) 2089 (35.23) 778 (36.15) 7057 (36.35) .08
Chemsexg (yes; n=19,401), n (%) 1993 (17.60) 948 (16.00) 243 (11.29) 3184 (16.41) <.001
Transactional sexg (yes; n=19,456), n (%) 616 (5.42) 271 (4.57) 155 (7.19) 1042 (5.36) <.001
STI diagnosesfg,h (yes; n=18,875), n (%) 1476 (13.25) 372 (6.52) 197 (9.70) 2045 (10.83) <.001
PEPi awareness (yes; n=19,457), n (%) 7510 (66.07) 3269 (55.09) 778 (36.09) 11,557 (59.40) <.001
PEP use (yes; n=19,393), n (%) 1452 (12.82) 310 (5.24) 81 (3.76) 1843 (9.50) <.001
Binge drinkingg (yes; n=19,390), n (%) 7774 (68.39) 4094 (69.43) 1518 (71.40) 13,386 (69.04) <.001
Substance useg (n=18,906), n (%) N/A N/A N/A N/A N/A
  Tobacco 2905 (25.56) 1981 (35.87) 539 (26.72) 5425 (28.69) <.001
  Marijuana or hash 2907 (25.57) 1369 (24.79) 471 (23.35) 4747 (25.11) .09
  Stimulantsj 1622 (14.27) 545 (9.87) 130 (6.45) 2297 (12.15) <.001
  Hallucinogensk 994 (8.74) 248 (4.49) 28 (1.39) 1270 (6.72) <.001
Poppers 735 (6.47) 1233 (22.33) 195 (9.67) 2163 (11.44) <.001
  Erectile dysfunction drugg 1054 (9.27) 605 (10.96) 90 (4.46) 1749 (9.25) <.001

aChi-square test.

bN/A: not applicable.

cBlack, Asian, Native American, and Mix race; this question was not available for Mexican respondents.

dFor Brazil, we considered the number of minimum wages in the family monthly income: low ≤3, middle 4-10, high >10 (monthly minimum wage in 2018 was 954 BRL=US $250, currency from June 2018). For Peru, we considered individual monthly income, categorized by number of minimum salaries: low ≤3, middle 4-10, high >10 (monthly minimum wage in 2018 was 850 PEN=US $265). For Mexico, we considered individual monthly income, categorized by number of minimum salaries: low: from no income to <3, middle 3-4, high ≥ 5 (monthly minimum wage in 2018 was 2686 MXN=US $141).

eIn the next year.

fAdapted from the WHO criteria for pre-exposure prophylaxis, which included the following: unprotected anal sex with a male or trans partner, sex with an HIV-positive partner, sex work, or STI diagnosis; all in the past 6 months.

gDuring the previous 6 months.

hSyphilis, gonorrhea, or rectal chlamydia.

iPEP: postexposure prophylaxis.

jCocaine, crack, ecstasy, and GHB (4-hydroxybutanoic acid).

kSolvents, lysergic acid diethylamide, and ketamine.