| Literature DB >> 29358160 |
Thiago Silva Torres1, Raquel Brandini De Boni1, Mauricio Tl de Vasconcellos2, Paula Mendes Luz1, Brenda Hoagland1, Ronaldo Ismerio Moreira1, Valdilea Gonçalves Veloso1, Beatriz Grinsztejn1.
Abstract
BACKGROUND: Geosocial networking (GSN) smartphone apps are becoming the main venue for sexual encounters among Brazilian men who have sex with men (MSM). To address the increased HIV incidence in this population, preexposure prophylaxis (PrEP) was recently implemented in the Brazilian public health system in the context of combined HIV prevention.Entities:
Keywords: Brazil; HIV; Latin America; MSM; PrEP; app; internet; prevention
Year: 2018 PMID: 29358160 PMCID: PMC5799718 DOI: 10.2196/publichealth.8997
Source DB: PubMed Journal: JMIR Public Health Surveill ISSN: 2369-2960
Figure 1Study flow-chart.
Characteristics of the individuals who completed and did not complete the questionnaire.
| Incompletea, n (%) | |||||
| .01 | |||||
| North (Manaus and Belém) | 72 (6.30) | 185 (3.65) | 257 (4.14) | ||
| Northeast (Salvador and Recife) | 112 (9.81) | 442 (8.73) | 354 (8.93) | ||
| Central-West (Brasília and Goiânia) | 102 (8.93) | 500 (9.87) | 602 (9.70) | ||
| South (Florianópolis and Porto Alegre) | 90 (7.88) | 406 (8.01) | 496 (7.99) | ||
| Rio de Janeiroc | |||||
| São Pauloc | |||||
| Total | 1142(18.40) | 5065 (81.60) | 6207 (100.00) | ||
| <.001 | |||||
| Hornet | 493 (42.28) | 2800 (55.28) | 3293 (58.85) | ||
| Grindr | 430 (36.88) | 1867 (36.86) | 2297 (36.86) | ||
| Otherd | |||||
| Total | 1166 (18.71) | 5065 (81.29) | 6231 (100.00) | ||
| .12 | |||||
| 18-24 | 262 (26.60) | 1212 (23.93) | 1474 (24.36) | ||
| 25-35 | 458 (46.50) | 2515 (49.65) | 2973 (49.14) | ||
| >36 | 265 (26.90) | 1338 (26.42) | 1603 (26.50) | ||
| Total | 985 (16.28) | 5065 (83.72) | 6050 (100.00) | ||
| — | |||||
| White | — | 3194 (63.06) | 3194 (63.06) | ||
| Non-whitee | |||||
| Total | — | 5065 (100.00) | 5065 (100.00) | ||
| — | |||||
| <3 (low income) | — | 1614 (31.87) | 1614 (31.87) | ||
| 4-10 (middle income) | — | 2148 (42.41) | 2148 (42.41) | ||
| >10 (high income) | — | 1303 (25.73) | 1303 (25.73) | ||
| Total | — | 5065 (100.00) | 5065 (100.00) | ||
| .01 | |||||
| <12 | 391 (45.41) | 1956 (38.64) | 2347 (39.63) | ||
| >12 | 470 (54.59) | 3106 (61.36) | 3576 (60.37) | ||
| Total | 861 (14.54) | 5062 (85.46) | 5923 (100.00) | ||
| <.001 | |||||
| MSMg | |||||
| Other | 34 (3.89) | 74 (1.46) | 892 (15.03) | ||
| Total | 869 (14.64) | 5065 (85.30) | 5934 (100.00) | ||
| .01 | |||||
| Majority | 433 (56.72) | 3368 (66.50) | 3801 (65.65) | ||
| A few | 292 (40.28) | 1697 (33.51) | 1989 (34.35) | ||
| Total | 725 (12.52) | 5065 (87.48) | 5790 (100.00) | ||
| .02 | |||||
| Yes | 205 (24.09) | 1029 (20.48) | 1234 (21.00) | ||
| No | 646 (75.91) | 3995 (79.52) | 4641 (79.00) | ||
| Total | 851 (14.49) | 5024 (85.51) | 5875 (100.00) | ||
| .08 | |||||
| Yes | 44 (5.28) | 198 (3.97) | 242 (4.16) | ||
| No | 789 (94.72) | 4788 (96.02) | 5577 (95.84) | ||
| Total | 833 (14.32) | 4986 (85.68) | 5819 (100.00) | ||
| .01 | |||||
| Yes | 263 (31.0) | 3491 (68.94) | 1856 (31.72) | ||
| No | 462 (68.94) | 1573 (31.06) | 3953 (68.28) | ||
| Total | 725 (12.54) | 5064 (87.48) | 5789 (100.00) | ||
| .02 | |||||
| Never | 85 (11.74) | 436 (8.63) | 521 (9.02) | ||
| Sometimes | 338 (46.69) | 2564 (50.72) | 2902 (50.22) | ||
| Daily | 259 (35.77) | 1798 (35.58) | 2057 (35.60) | ||
| Only when travelling or vacations | 42 (5.80) | 256 (5.07) | 298 (5.16) | ||
| Total | 724 (12.53) | 5054 (87.47) | 5778 (100.00) | ||
aNo answer for variables color and race (last questions of the questionnaire).
bChi-square test.
cSoutheast Brazil.
dOther social media (eg, Facebook, WhatsApp), email.
eBlack, Asian, Native American, mixed-race, or don’t know.
fBrazilian monthly minimum wage in 2016 was 880 BRL (US $267, currency from July 2016).
gHomosexual, gay, or bisexual.
Binge drinking, substance use, and risk behaviors among the study population (n=5065). MSM: men who have sex with men.
| Parameter | Total, n (%) | |
| Binge drinkinga (yes; n=5050) | 3636 (71.79) | |
| Tobacco | 1651 (32.60) | |
| Stimulantsb | ||
| GHBc | ||
| Marijuana or hash | 1679 (33.15) | |
| Hallucinogensd | ||
| 0-5 | 2609 (51.51) | |
| 6-10 | 1001 (19.76) | |
| >10 | 1455 (28.73) | |
| Condomless receptive anal sexa (yes) | 2121 (41.88) | |
| None | 3530 (69.71) | |
| 1 | 480 (9.48) | |
| >1 | 111 (2.19) | |
| Unknown | 943 (18.62) | |
| None | 3391 (66.96) | |
| 1-4 intercourses | 957 (18.90) | |
| 5 or more intercourses | 449 (8.87) | |
| Unknown | 267 (5.27) | |
| The HIV Incidence Risk for MSM Scalee,f (>10 points; high risk) | 3363 (66.41) | |
| Money for sexa (n=5045) | 202 (3.99) | |
| Low | 3516 (69.41) | |
| High | 1083 (21.39) | |
| Unknown | 466 (9.20) | |
| STI diagnosisa,h (n=5010) | 604 (12.06) | |
aDuring the previous 6 months.
bCocaine, poppers, crack, or ecstasy.
c4-hydroxybutanoic acid.
dSolvents, lysergic acid diethylamide, ketamine.
eThe HIV Incidence Risk for MSM Scale was calculated based on sexual behavior in the previous 6 months (number of partners, condomless receptive anal intercourse, sex with HIV-positive partner, and use of stimulants; if >10 points, PrEP is recommended).
f“Unknown” answers scored 0 points on The HIV Incidence Risk for MSM Scale.
gIn the next 12 months.
hSyphilis, gonorrhea, or rectal chlamydia.
Previous HIV testing and preferences (N=5065). HIVST: human immunodeficiency virus self-testing; SUS: Brazilian public health system.
| Parameter | Total, n (%) | |
| Never | 738 (14.57) | |
| Once (lifetime) | 762 (15.04) | |
| Once a year | 1073 (21.18) | |
| More than once a year | 1171 (23.12) | |
| Every time I am exposed | 311 (6.14) | |
| Sporadically | 1010 (19.94) | |
| No risk of be infected | 100 (13.55) | |
| Not easy to reach health care provider | 50 (6.78) | |
| Shame | 128 (17.34) | |
| Afraid of being positive | 263 (35.64) | |
| Lazy | 74 (10.03) | |
| Other | 123 (16.66) | |
| At home | 2400 (47.38) | |
| Health care provider | 1987 (39.23) | |
| Pharmacy | 468 (9.24) | |
| Community center | 61 (1.20) | |
| Other | 149 (2.94) | |
| Internet (home delivery) | 2094 (41.34) | |
| Internet (pick somewhere) | 578 (11.41) | |
| Pick up at a pharmacy | 1059 (20.91) | |
| Pick up at a health care provider | 1126 (22.23) | |
| Pick up at a nongovernmental organization | 104 (2.05) | |
| Other | 104 (2.05) | |
Figure 2Willingness to use HIV prevention methods (n=5065). PrEP: preexposure prophylaxis; nPEP: nonoccupational postexposure prophylaxis.