Abstract
Background
Despite efforts to stop HIV epidemic in Latin America, new HIV cases continue to increase in the region especially among young MSM (YMSM). This study aims to assess if sociodemographic characteristics are associated with self-reported HIV positive status among YMSM from three Latin American countries.
Methods
Cross-sectional web-based survey advertised on dating apps (Grindr and Hornet) and Facebook in Brazil, Mexico and Peru. For this analysis, we included YMSM aged 18–24 years who self-reported their HIV status. We used multivariable logistic regression models for each country separately to verify if sociodemographic characteristics (race, education and income) were associated with HIV self-reported status after adjusting for behavior characteristics (sexual attraction and steady partner).
Results
Among 43,687 MSM who initiated the questionnaire, 27,318 (62.5%) reported their HIV status; 7001 (25.6%) of whom were YMSM. Most YMSM (83.4%) reported an HIV test in the past year, and 15.7% reported an HIV positive status in Peru, 8.4% in Mexico and 7.7% in Brazil. In adjusted models, low-income was associated with higher odds of self-reported HIV positive status in Brazil (aOR = 1.33, 95%CI: 1.01–1.75) and Peru (aOR = 1.56, 95%CI: 1.02–2.40), but not in Mexico. Lower education was associated with higher odds of self-reported HIV positive status only in Brazil (aOR = 1.35, 95%CI: 1.05–1.75).
Conclusions
In this large, cross-country study, self-reported HIV positive status among YMSM was high. Lower socioeconomic status was associated with higher odds of self-reported HIV positive status in Brazil and Peru. There is an urgent need for HIV prevention interventions targeting YMSM, and efforts to address low-income YMSM are especially needed in Peru and Brazil.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12879-021-06455-3.
Keywords: Young MSM, Self-reported HIV status, HIV prevalence, Latin America, Socioeconomic status
Background
Latin America is one of the most unequal regions in the world due to historical and structural characteristics of its societies [1]. Brazil, Mexico and Peru represent more than a half of the overall population (~ 368 million) [2]. These countries also share vast socio-economic disparities. Despite being the 9th largest economy by nominal Gross Domestic Product (GDP = US$ 1.9 trillion), Brazil is the 9th most unequal country in the world and the 2nd in the Americas according to GINI index from The World Bank [1, 3]. Mexico and Peru poverty rate for 2018 were 23% and 22%, respectively, corresponding to the percentage of the population living on less than USD 5.50 a day [4]. Social disparities are related to health outcomes [5] and studies to understand these disparities are of utmost importance in the region.
Globally, 38 million people were living with HIV and 1.7 million people were newly infected in 2019 [6]. In Latin America, the number of new HIV diagnoses has increased from 100,000 in 2018 to 120,000 in 2019 [6]. About 90% of new HIV infections in the region occurred in 10 countries, including Brazil (49%), Mexico (13%), and Peru (4%) [7]. HIV epidemic in the region remains concentrated in vulnerable populations, with 40% of new infections occurring among gay, bisexuals and other men who have sex with men (MSM) in 2018 [8, 9]. HIV prevalence among MSM were estimated at 17% in Brazil [10] and Mexico [11] and 10% in Peru [12], while it is below 0.5% for the general population in each country [13–15].
Data from other regions show that young MSM (YMSM) aged 15–24 are at higher risk of HIV infection [16–19] due to factors such as lack of access to comprehensive sexual education and preventive strategies, condomless and PrEP-less sex, use of alcohol and drugs during sex, transactional sex, and low perceived HIV risk [20–24]. In Latin America, previous studies using probability-based sampling method have estimated HIV prevalence among YMSM from 1.2% in Santos, Brazil in 2009 to 32.6% in Colón, Panama in 2012 [25]. In Brazil, national surveillance data showed a three-fold increase in the rate of HIV cases among cisgender men aged 15–19 years and two-fold increase among those aged 20–24 years from 2006 to 2017 [13]. In Mexico, the national HIV incidence among MSM aged 15–24 years-old has increased from 13.6 (2015) to 23.6 per 100,000 habitants (2019) [26]. Recent studies have shown that YMSM from Latin America are less aware, less willing and less adherent to use pre-exposure prophylaxis (PrEP) compared to older MSM [23, 27–29].
Data from the U.S. found that socioeconomic disparities were related to age among MSM, with YMSM having less income, less access and use of health care services compared to their older counterparts [30]. In addition, socio demographic characteristics, such as race and education, were more strongly associated with HIV infection than individual risk behavior among YMSM [31]. Most of studies previously conducted among MSM in Latin America have evaluated associations of HIV infection with behavior without specifically considering sociodemographic characteristics; none of them specifically targeting YMSM [32–36].
The Implementation PrEP Project (ImPrEP) aims to generate evidence on the feasibility, acceptability, and cost-effectiveness of PrEP among MSM and transgender people specific to the cultural contexts and health systems in Brazil, Mexico, and Peru. Within ImPrEP, we conducted a web-based survey aiming to understand the characteristics of MSM in these countries. Primary analyses of this study have evaluated the factors associated with awareness and willingness to use PrEP among MSM self-reporting HIV negative or unknown status [27, 37].
In this secondary analysis, we aim to assess sociodemographic and behavioral factors associated with self-reported HIV positive status among YMSM in three Latin American countries.
Methods
Study design
This was a cross-sectional, web-based survey targeting MSM from Brazil, Mexico, and Peru. Inclusion criteria were cisgender men, ≥18 years, resident of one of the three countries. For this secondary analysis, we included YMSM aged 18–24 years who self-reported their HIV status. Individuals who had never tested for HIV and were sexually attracted only to women were excluded. Details of the study design are described elsewhere [27]. Briefly, the questionnaire was developed in English (Additional file 1) by the researchers of the three countries and then translated to local languages (Portuguese in Brazil and Spanish in Mexico and Peru). Final versions were reviewed by two researchers fluent in Portuguese and Spanish. The questionnaire was programmed on Alchemer® in Brazil and SurveyMonkey® in Mexico and Peru. Then, each survey link was tested by the researchers and by members of MSM community as part of the validation process. The project was advertised on Hornet® and Grindr®, two geosocial networking (GSN) apps used by MSM, and Facebook®. Participants were not asked to refer friends to take the survey, but they could share the survey link if they wish.
Main outcome
The main outcome of interest was self-reported HIV status, which was assessed as follows: “Have you ever had a positive HIV result?”, with possible answers “yes” (self-reported HIV positive status) and “no” (self-reported HIV negative status). This question was only asked among individuals who reported a history of HIV testing, and as previously mentioned, individuals who reported never testing for HIV were excluded from the study.
Variables
Study recruitment was categorized into: Apps (Grindr and Hornet) and Facebook. Race was collected using the relevant categories for each country. In Brazil and Peru, race was stratified as “White”, “Black”, “Pardo or Mestizo”, “Indigenous” or “Asian”. Mexican participants were asked if they were indigenous (yes/no). Education was dichotomized by those who had less than or complete secondary education (≤ secondary education) versus those reporting any post-secondary education (> secondary education). Individuals were asked about their monthly income by the time of survey completion. Income was stratified in “low”, “middle” and “high” according to each country definition, which considered the minimum wage value per month in June 2018 (Brazil: 954 BRL or 250 USD; Mexico: 2686 MXN or 141 USD; Peru: 850 PEN or 265 USD). For Brazil, participants were stratified in “low” if the family monthly income was equivalent or inferior to three times the minimum wage (≤ 750 USD); in “middle” if between three and ten times the minimum wage (751–2500 USD); in “high” if superior to ten times the minimum wage (> 2500 USD) [20, 38, 39]. For Mexico, participants were stratified in “low” if individual monthly income was less than three times the minimum wage (< 423 USD); “middle” if between three and five times the minimum wage (423–704 USD); and high if equivalent or superior to five times the minimum wage (750 USD) [27, 40]. For Peru, participants were stratified in “low” if individual monthly income was less than the equivalent of three times the minimum wage (≤ 795 USD); “middle” if between three and five times the minimum wage (796–1060 USD); and “high” if greater than five times the minimum wage (> 1060 USD) [41]. Sexual attraction was dichotomized into those attracted only to men versus those attracted to both men and women. As previously mentioned, respondents reporting being attracted only to women were excluded from this analysis. Individuals were asked if they had a steady partner (yes/no) without further specification (i.e., if this was a long-term casual partner or a formal romantic relationship). They were also asked about their last HIV test with possible options as follows: last 3 months, last 6 months, last year and more than 1 year. As previously mentioned, those who responded that they had never tested for HIV were excluded from the analysis. We dichotomized this question in “≤ 1 year” versus “> 1 year”. Individuals were also asked about city of residence (data not shown).
For the logistic regression models, race was dichotomized into “white” vs. “non-white” (Black, Brown, Indigenous and Asian) following previous studies conducted among Brazilian and Peruvian MSM [20, 27, 42, 43] and income was dichotomized into “low” vs. “middle/high”.
Statistical analysis
Participant characteristics were described according to self-reported HIV status (negative or positive) per country (Brazil, Mexico, and Peru). Some survey questions included options such as “I do not want to answer” or “I do not know” for participant comfort, and these answers were considered missing for data analysis. We used logistic regression to assess the factors associated with self-reported HIV positive status separately for each country. Bivariate regression models were fitted for all explanatory variables and then a multivariable model was estimated including all of these variables regardless of statistical significance, based our a priori theoretical/conceptual model. We wanted to verify if sociodemographic characteristics measured by race, education and income were associated with HIV self-reported status after adjusting for behavior characteristics measured by sexual attraction and steady partner. These factors have been associated with HIV status among MSM from Latin America in previous studies [25]. All analyses were performed using Software R version 4.0.3 [44].
Results
From March 2018 to June 2018, a total of 43,687 MSM accessed the questionnaire, 11.1% (5610/43,687) did not meet study inclusion criteria and of the eligible individuals 71.7% (27,318/38,077) self-reported their HIV status. Among these, 7001 (25.6%; 7007/27318) were YMSM and were included in this analysis (Fig. 1). The majority of YMSM were from Brazil (4231; 61.0%), followed by Mexico (1743; 25.1%) and Peru (967; 13.9%).
Fig. 1.
Study flow-chart. Brazil, Mexico, Peru, 2018
The overall self-reported HIV positive status among YMSM was 8.9% (95% CI: 8.3–9.6), being higher in Peru (15.7%; [95% CI: 13.5–18.2]), followed by Mexico (8.4%; [95% CI: 7.2–9.9]) and Brazil (7.7%; [95% CI: 6.9–8.6]). Considering older MSM (> 24 years-old) who responded this survey but were not included in this analysis, 16.1% (3273/20,317) self-reported HIV positive status; 22.9% (446/1945) in Peru, 15.5% (1992/12,869) in Brazil and 15.2% (835/5503) in Mexico.
Characteristics of YMSM by self-reported HIV status in Brazil, Mexico and Peru are shown in Table 1. Overall, YMSM were mainly recruited on apps (5811; 83.7%, though this was driven by Brazil and Mexico), reported being Pardo/Mestizo (2216; 43.6%; considering only Brazil and Peru), had less than a secondary education (3845; 56.3%) and were low income (4338; 64.2%). In Mexico, only 3.0% (53/1743) reported being indigenous. The majority of YMSM were sexually attracted only to men (6144; 87.5%) and did not have a steady partner (5473; 79.7%). Comparing the three countries, more YMSM from Brazil reported being white (42.9%; 1786/4231), had less than a secondary education (67.8%; 2802/4231) and were low income (68.9%; 2914/4231) than YMSM from Peru and Mexico. More Peruvian YMSM were recruited through Facebook (40.4%; 391/967), reported sexual attraction to men and women (20.2%; 195/967) and had a steady partner (28.3%; 268/967) than YMSM from Brazil and Mexico.
Table 1.
Characteristics of YMSM aged 18–24 years according to self-reported HIV positive status in Brazil, Mexico and Peru, 2018
| Brazil (N = 4231; 61.0%) | Mexico (N = 1743; 25.1%) | Peru (N = 967; 13.9%) | Total (N = 7001) | |||||
|---|---|---|---|---|---|---|---|---|
| HIV- | HIV+ | HIV- | HIV+ | HIV- | HIV+ | HIV- | HIV+ | |
| 3905 n (%) |
326 (7.7) n (%) |
1596 n (%) |
147 (8.4) n (%) |
815 n (%) |
152 (15.7) n (%) |
6316 n (%) |
625 (8.9) n (%) |
|
| Recruitment | ||||||||
| Apps | 3544 (90.8) | 304 (93.3) | 1440 (90.2) | 132 (89.8) | 346 (42.5) | 45 (29.6) | 5330 (84.4) | 481 (77.0) |
| 361 (9.2) | 22 (6.7) | 156 (9.8) | 15 (10.2) | 469 (57.5) | 107 (70.4) | 986 (15.6) | 144 (23.0) | |
| Race | ||||||||
| White | 1668 (43.4) | 118 (36.8) | N/A | 147 (18.8) | 30 (20.8) | 1815 (39.3) | 148 (31.8) | |
| Black | 734 (19.1) | 59 (18.4) | N/A | 14 (1.8) | 2 (1.4) | 748 (16.2) | 61 (13.1) | |
| Pardo or Mestizo | 1378 (35.9) | 135 (42.1) | N/A | 595 (76.3) | 108 (75.0) | 1973 (42.7) | 243 (52.3) | |
| Indigenous | 38 (1.0) | 7 (2.2) | N/A | 18 (2.3) | 4 (2.8) | 56 (1.2) | 11 (2.4) | |
| Asian | 24 (0.6) | 2 (0.6) | N/A | 6 (0.8) | 0 (0.0) | 30 (0.6) | 2 (0.4) | |
| Education | ||||||||
| ≤ Secondary education | 2566 (67.3) | 236 (73.5) | 645 (40.4) | 63 (42.9) | 289 (35.9) | 46 (31.5) | 3500 (56.3) | 345 (56.2) |
| > Secondary education | 1246 (32.7) | 85 (26.5) | 951 (59.6) | 84 (57.1) | 517 (64.1) | 100 (68.5) | 2714 (43.7) | 269 (43.8) |
| Income | ||||||||
| Low | 2670 (68.4) | 244 (74.8) | 775 (54.1) | 68 (51.1) | 425 (58.6) | 84 (61.8) | 3870 (63.8) | 396 (66.6) |
| Middle | 1026 (26.3) | 62 (19.0) | 567 (39.6) | 54 (40.6) | 281 (38.8) | 49 (36.0) | 1874 (30.9) | 165 (27.7) |
| High | 209 (5.4) | 20 (6.1) | 90 (6.3) | 11 (8.3) | 19 (2.6) | 3 (2.2) | 318 (5.2) | 34 (5.7) |
| Sexual Attraction | ||||||||
| Men | 3543 (90.7) | 312 (95.7) | 1380 (86.5) | 137 (93.2) | 641 (78.7) | 131 (86.2) | 5564 (88.1) | 580 (92.8) |
| Men and Women | 362 (9.3) | 14 (4.3) | 216 (13.5) | 10 (6.8) | 174 (21.3) | 21 (13.8) | 752 (11.9) | 45 (7.2) |
| Steady partner | ||||||||
| No | 3200 (82.6) | 251 (78.2) | 1241 (78.5) | 102 (70.8) | 588 (73.8) | 91 (60.7) | 5029 (80.4) | 444 (72.2) |
| Yes | 676 (17.4) | 70 (21.8) | 339 (21.5) | 42 (29.2) | 209 (26.2) | 59 (39.3) | 1224 (19.6) | 171 (27.8) |
| Last HIV test | ||||||||
| ≤ 1 year | 3351 (86.5) | 271 (84.7) | 1269 (80.6) | 110 (76.4) | 614 (76.0) | 110 (74.8) | 5234 (83.7) | 491 (80.4) |
| > 1 year | 523 (13.5) | 49 (15.3) | 305 (19.4) | 35 (23.6) | 194 (24.0) | 37 (25.2) | 1022 (16.3) | 120 (19.6) |
N/A Not applicable
In the multivariable models adjusted by behavioral characteristics, being low-income was associated with higher odds of self-reported HIV positive status in Brazil (aOR = 1.33, 95%CI: 1.01–1.75) and Peru (aOR = 1.56, 95%CI: 1.02–2.40) but not in Mexico (Table 2). Lower education was also associated with higher odds of self-reported HIV positive status in Brazil (aOR = 1.31, 95%CI: 1.01–1.72), but not in Mexico nor in Peru. Race was not associated with self-reported HIV positive status in Brazil or Peru, nor was being indigenous associated with self-reported HIV positive status in Mexico (data not shown).
Table 2.
Factors associated with self-reported HIV positive status in Brazil, Mexico and Peru, 2018
| Brazil (N = 4231; 61.0%) | Mexico (N = 1743; 25.1%) | Peru (N = 967; 13.9%) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bivariate models | Multivariate model | Bivariate models | Multivariate model | Bivariate models | Multivariate model | |||||||
| OR (95% CI) | p-value | aOR (95% CI) | p-value | OR (95% CI) | p-value | aOR (95% CI) | p-value | OR (95% CI) | p-value | aOR (95% CI) | p-value | |
| Race | ||||||||||||
| White | Ref. | 0.022 | 0.146 | N/A | N/A | Ref. | 0.578 | Ref. | 0.513 | |||
| Non-white | 1.31 (1.04–1.67) | 1.20 (0.94–1.55) | N/A | N/A | 0.88 (0.57–1.39) | 0.85 (0.53–1.40) | ||||||
| Education | ||||||||||||
| ≤ Secondary education | 1.35 (1.05–1.75) | 0.023 | 1.31 (1.01–1.72) | 0.046 | 1.11 (0.78–1.55) | 0.564 | 1.13 (0.78–1.63) | 0.518 | 0.82 (0.56–1.19) | 0.312 | 0.79 (0.50–1.26) | 0.281 |
| > Secondary education | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| Income | ||||||||||||
| Low | 1.38 (1.07–1.79) | 0.016 | 1.33 (1.01–1.75) | 0.044 | 0.89 (0.62–1.27) | 0.508 | 0.81 (0.56–1.18) | 0.273 | 1.14 (0.79–1.67) | 0.494 | 1.56 (1.02–2.40) | 0.043 |
| Middle/High | Ref. | Ref. | Ref. | Ref. | Ref. | |||||||
| Sexual Attraction | ||||||||||||
| Men | 2.28 (1.37–4.12) | 0.003 | 2.68 (1.55–5.11) | 0.001 | 2.14 (1.17–4.41) | 0.023 | 1.98 (1.04–4.27) | 0.056 | 1.69 (1.06–2.83) | 0.035 | 1.86 (1.06–3.51) | 0.040 |
| Men and Women | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| Steady partner | ||||||||||||
| No | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | ||||||
| Yes | 1.32 (0.99–1.73) | 0.050 | 1.25 (0.93–1.65) | 0.127 | 1.51 (1.02–2.19) | 0.034 | 1.42 (0.94–2.11) | 0.091 | 1.82 (1.26–2.62) | 0.001 | 1.67 (1.10–2.50) | 0.015 |
N/A Not applicable. Regions within the countries were kept in the final models (data not shown). For Brazil, region was categorized according to geopolitical regions: North (7 states), Northeast (9 states), Central-West (3 states and Federal District), South (3 states), and Southeast (2 states). For Peru, regions were grouped according to their geographical characteristics and political division: Lima (Lima city and Callao), Coast (Lima region and other coastal cities), Sierra (cities of the northern, central, and southern highlands), and Jungle. For Mexico, Northwest (6 states); Northeast (3 states); West (4 states); East (4 states); North Center (5 states); South Central (2 states and Mexico City); South (7 states)
YMSM from the three countries sexually attracted only to men had at least twice higher odds of self-reported HIV positive status than those attracted to men and women. Peruvian YMSM having a steady partner had higher odds of self-reported HIV positive status than those with no steady partner (aOR = 1.67, 95%CI: 1.10–2.50).
Discussion
In this cross-country study, self-reported HIV positive status among YMSM within Latin America was high for Brazil, Mexico and Peru. In Peru and Brazil, low socioeconomic status was associated with self-reported HIV positive status. The samples included from each country were distinct, which could explain the disparate model results across countries. High internet access and smartphone availability among all social strata in Brazil [45] could explain the higher inclusion of lower income YMSM compared to the other two countries.
Our results of high self-reported HIV positive status are corroborated by previous studies assessing HIV prevalence in the region during the past 10 years, such as in Lima, Peru (27%), Rio de Janeiro, Brazil (13%), Tijuana, Mexico (12%) and São Paulo, Brazil (11%) [25]. In Brazil, one hypothesis of the increase in HIV prevalence estimated in two national RDS surveys conducted in 2009 (12%) and 2016 (19%) was the greater inclusion of YMSM in the later [46]. In the present study, self-reported HIV positive status in Peru was almost twice than reported in Brazil and Mexico. One hypothesis for this finding is a greater inclusion of individuals from Facebook in Peru, compared to Brazil and Mexico. Facebook advertisements on the three countries focused toward male gender, and related interests, applying keywords frequently used by gay and bisexual populations, for instance, gay pride, gay community, and homophobia. This approach may have welcomed more YMSM living with HIV to complete the survey. Moreover, the high HIV prevalence among MSM aging 25 years or older from Peru who accessed this survey (23%) could indicate a higher HIV prevalence among MSM from this country compared to Brazil and Mexico, although HIV prevalence among Peruvian MSM was recently estimated at 10%, reaching 15% in Lima, where most of participants of this study live [12].
Lower income and lower education, factors frequently associated with poverty, have shown to be associated with self-reported HIV positive status in this analysis. We could not find other studies exploring sociodemographic factors associated with HIV status specifically for Latin American YMSM. In Brazil, previous studies have shown that low-income YMSM were less adherent to daily oral PrEP than older MSM [29] and lower schooling was associated with worse outcomes among individuals living with HIV, such as being on antiretroviral treatment and virologic suppression [47]. In Mexico, a national representative survey among MSM not stratified by age showed that lower education was associated with a positive HIV test result [11]. Socioeconomic disparities add to other vulnerabilities commonly observed among YMSM such as mental health disorders [30], low HIV risk perception [28, 38], riskier sexual practices [28] and lower knowledge of prevention technologies, such as PrEP [23].
YMSM sexual attracted to men had higher odds of self-reported HIV positive status than those preferring both men and women. Other studies conducted in Latin America observed similar association considering sexual orientation. Being gay/homosexual was previously associated with HIV prevalence among MSM from Mexico, Peru and other countries from the region [25]. MSM self-identified as gay had increased odds of HIV risk behavior in a large analysis considering 16,667 HIV-uninfected MSM from Brazil [20]. In a longitudinal analysis, type of relationship (casual versus steady) and condomless anal sex (receptive versus insertive) differ according to sexual orientation, as self-identified bisexual men reported more insertive condomless anal sex with casual male partners than self-identified gay men [48].
Although not statistically significant in the multivariate model, non-white Brazilian YMSM had increased odds of self-reporting HIV positive status compared to white YMSM in bivariate analysis. According to Brazilian surveillance data, the proportion of new HIV cases among non-white males has increased from 48 to 64% between 2007 and 2019 in comparison to white males [49]. MSM populations may face different forms of stigma, including internalized, perceived, experienced and layered stigmas [50], and Black and Pardo MSM populations additionally face structural racism, which may increase their vulnerability to HIV infection in comparison to white MSM. In a previous study conducted in Brazil, Black individuals had over 50% higher odds of experiencing discrimination than whites, even after controlling for income, education, social status, and health problems [51]. Studies addressing intersectional stigma among non-white YMSM in Brazil are required as well as the inclusion of these populations in the conception and delivery of educational campaigns about HIV prevention and sexual health.
This study has limitations. Web-based studies are not probabilistic sampling strategies, precluding the generalization of the findings to all MSM from Brazil, Mexico and Peru. Moreover, our findings are based on MSM who have access to cellphones and who use GSN apps or social media. Measures of income were adapted to specific countries’ definitions, in Brazil official definition uses family income while in Mexico and Peru, individual income is preferred. Thus, comparison of the results regarding income between countries should be made cautiously. Moreover, sex work was not assessed in the study, though it can be both related to HIV status and income. Given the cross-sectional nature of the data, causality and the direction of association may not be inferred. All collected data were self-reported by participants and may be subject to bias, including our main outcome (self-reported HIV status). However, individuals tend to be more open through web-based surveys, thereby reducing the possibility of social desirability bias [52]. There is also a concern about participants taking the survey multiple times. To mitigate this bias, the first question of the survey was, “Are you answering this survey for the first time?” and anyone answering ‘no’ was excluded.
Conclusions
Self-reported HIV-positive status among YMSM in three Latin American countries was high and low socioeconomic status was associated with higher odds of self-reported HIV positive status in Brazil and Peru. There is an urgent need for HIV prevention interventions targeting YMSM to stop HIV epidemic by 2030, and efforts to address low-income YMSM are especially needed in Peru and Brazil.
Supplementary Information
Acknowledgments
Presented in part at the Conference of Retroviruses and Opportunistic Infections (CROI), Abstract Number 857, Boston, March 8-11, 2020. We would like to thanks Gabriel Madeira for programming the questionnaires and Daniel R B Bezerra for social media consulting in Brazil.
Abbreviations
- CI
Confidence interval
- GDP
Gross domestic product
- GSN
Geosocial networking
- HIV
Human immunodeficiency virus
- IQR
Interquartile range
- ImPrEP
The Implementation PrEP Project
- OR
Odds ratio
- MSM
Gay, bisexual and other men who have sex with men
- MW
Minimum wage
- PrEP
Pre-exposure prophylaxis
- YMSM
Young MSM
Authors’ contributions
TST and LEC did the literature search. TST, KAK and EHV-R conceived the questionnaire. TST, KAK, EHV-R, OAE and DDS worked on the advertisement of the questionnaire. TST, KAK and EHV-R performed data cleaning. TST and LEC analyzed the data and generated the tables and figures. KAK reviewed the statistical analyses. TST and LEC interpreted the data and draft the manuscript. KAK, EHV-R, OAE, DDS, BH, CP, MB, BG, CFC and VGV substantively revised the manuscript for important intellectual content. All authors read and approved the final manuscript.
Funding
This project was made possible thanks to Unitaid’s funding and support. Unitaid accelerates access to innovative health products and lays the foundations for their scale-up by countries and partners. Unitaid is a hosted partnership of WHO. We would like to thank the support of the MoHs of Brazil, Mexico, and Peru. The funding bodies had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Availability of data and materials
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethics and consent to participate
An ethical review board in each country approved the study: in Brazil, INI Evandro Chagas-FIOCRUZ institutional review board (#CAAE 82021918.0.0000.5262); in Mexico, the research ethics committee of the National Institute of Psychiatry Ramón de la Fuente Muñiz (#CEI/C/038/2018); and in Peru, Universidad Peruana Cayetano Heredia Ethical Committee for Research with Human Subjects (#101460). All study participants provided their informed consent electronically before initiating the web-based survey, which clearly stated that the survey was targeting MSM. No identification of participants was collected and no incentives were provided for answering the survey.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets analyzed during the current study are available from the corresponding author on reasonable request.