Skip to main content
Journal of Urban Health : Bulletin of the New York Academy of Medicine logoLink to Journal of Urban Health : Bulletin of the New York Academy of Medicine
. 2020 Aug 1;97(5):668–678. doi: 10.1007/s11524-020-00458-2

Individual and Social Network Factors Associated with High Self-efficacy of Communicating about Men’s Health Issues with Peers among Black MSM in an Urban Setting

Jordan J White 1,, Cui Yang 2, Karin E Tobin 2, Chris Beyrer 1, Carl A Latkin 2
PMCID: PMC7560668  PMID: 32740700

Abstract

Black men who have sex with men (BMSM) bear a disproportionate burden of HIV in the USA. BMSM face stigma, discrimination and barriers to health care access, and utilization. Peers (male or female) may assist BMSM in navigating their health issues by engaging in communication to support in their health care needs. Individuals with high self-efficacy of communicating about men’s health issues with peers can be trained as community popular opinion leaders (CPOLs) to change peer behaviors by promoting risk reduction communication. We examined the characteristics associated with high self-efficacy of communicating with peers about men’s health issues among 256 BMSM from a behavioral HIV intervention conducted in Baltimore, Maryland. In the multivariate logistic model, gay identity (AOR: 2.10, 95% CI: 1.15,3.83), involvement in the house and ballroom community (AOR: 2.50, 95% CI: 1.14,5.49), larger number of network members who are living with HIV (AOR: 6.34, 95% CI: 1.48,27.11), and larger number of network members who would loan them money (AOR: 1.46, 95% CI: 1.05,2.03) were statistically significantly associated with high self-efficacy of communicating with peers about men’s health issues. We also found that having depressive symptoms (AOR: 0.43, 95% CI: 0.24, 0.77) was negatively associated with high self-efficacy of communicating with peers about men’s health issues. Findings from the current study can inform future studies to identify better CPOLs who are able to communicate effectively with peers about men’s health issues for BMSM.

Keywords: Black men who have sex with men, Social networks, Communication, Self-efficacy, HIV, Urban health

Introduction

Black men who have sex with men (BMSM), remain disproportionately impacted by HIV [1] and other sexually transmitted infections (STIs) [2] in the USA, particularly in the southern USA. [3]. BMSM are less likely to be aware of their HIV infection [4, 5], have lower pre-exposure prophylaxis (PrEP) uptake [6], encounter structural barriers to sexual health services [7, 8], and lack culturally competent health care [9, 10] as compared with other racial/ethnic groups of MSM. Peers (male or female) may provide social support to BMSM in navigating their health issues by engaging in communication to support in their health needs (i.e., HIV, sexual health, mental health, men’s health) [4, 11, 12]. Promoting peer communication among BMSM and their social networks may optimize the dissemination of HIV prevention messaging and harm reduction strategies. This is particularly important given that the majority of new HIV infections are transmitted from people living with HIV who either did not know they had HIV or have been diagnosed but not in HIV care [1]. High levels of sexual health communication have been associated with a lower odds of condomless sex and intercourse with partners of unknown HIV serostatus [13]. However, the stigma associated with many men’s health issues, including HIV and STIs, can be barriers to communication [14, 15]. For example, BMSM have low rates of HIV disclosure with sexual partners and health care providers [16, 17]. In a multisite study, Rosser and colleagues reported lower levels of serodisclosure to secondary sexual partners among BMSM as compared with white MSM [18]. Interventions that promote communication of sexual health among BMSM may reduce HIV transmission and other sexual health disparities [19, 20].

The community popular opinion leader (CPOL) model is an evidence-based intervention designed to change peer behaviors by promoting risk reduction communication and modeling what is perceived to be normative [2124]. Based on the theories of diffusion of innovations [25], social learning [26], and cognitive dissonance [27], the CPOL model identifies socially influential members of a target population and trains these individuals to increase communication skills and self-efficacy to engage in peer outreach [28]. Self-efficacy refers to an individual’s belief in their capacity to execute behaviors necessary to produce specific performance outcomes [29]. Self-efficacy is a key concept in Bandura’s social cognitive theory, and it has been considered as a foundation for adopting new behaviors [30]. With a high self-efficacy, CPOLs are more likely to have the skills to reach subpopulations who may be engaged in high risk behaviors or disengaged from health or social services and tailor messaging for these network members [31]. It is theorized that actively promoting risk reduction communication among network members will enhance health-promoting social norms, which can lead to sustainable behavioral change [32]. The CPOL intervention has been utilized with various populations at risk for HIV, including people who inject drugs [33] and MSM [23, 34, 35]. There is evidence suggesting that CPOL approaches can be effective in promoting sustainable behavioral change among BMSM [28, 36] and Latino MSM [37]. For example, the house and ballroom community has strong historical significance among BMSM [38] as it has been a primary meeting and social engagement space. One study has successfully tailored the CPOL model for BMSM involved in the house and ballroom community and found reductions in multiple partners, sexual stigma, and condomless anal intercourse [39].

While CPOLs often have common individual attributes such as demographic background or share lived experiences of the target population, different studies use various approaches or rationales to select CPOLs [40, 41]. Recent findings suggest that network characteristics of CPOLs can be more important than the specific messages they convey [42, 43]. Not all CPOL interventions for MSM have been successful in reducing risk [24, 34], and this may be in part due to the inappropriate selection of CPOLs [44]. CPOLs have conventionally been selected via ethnographic methods because they are well known and respected and within networks [4547]. For example, CPOLs in a recent online HIV prevention study were identified and recruited as well-respected peer leaders by community-based organizations serving primarily BMSM and Latino MSM [48]. CPOLs have been found to cluster in online groups related to risk behaviors (e.g., condomless sex) [49] and are more likely to discuss sexual and health related information with other MSM [31, 48]. Another study found that MSM who are non-Hispanic Black and those with a history of a STI other than HIV were more likely to be CPOLs on immunization issues [47].

Few studies have examined the characteristics of potential CPOLs, particularly among BMSM, and there is even less information on the social networks of BMSM CPOLs. Social network analysis is important as it provides detailed information on individuals’ sources of social support and the composition of networks. Social network composition has been linked to transmission of HIV [50] and other sexually transmitted infections [51]. Examining the social network composition of CPOLs is critical for assessing who they can most easily reach or influence as well as the forms of the social and economic support available to those individuals. In impoverished communities, the material resources of network members and the ability to obtain resources from network members may also be important [52]. Identifying individual and social network characteristics of CPOLs can inform behavioral interventions and potentially enhance the reach of interventions to their social networks.

Given the persistent HIV and STI disparities as well as barriers to HIV prevention and care among BMSM, identifying CPOLs who are able to communicate effectively with peers about men’s health issues is critical. The goal of the current study was to explore what are the individual and social network characteristics of BMSM associated with high self-efficacy in communicating with peers about men’s health issues. While the study is primarily exploratory, we hypothesize that high self-efficacy of communicating with peers about men’s health is associated with individual characteristics, such as gay or homosexual identity, involvement in the house and ballroom community, and social network factors, such as larger number of network members who are living with HIV and larger number of network members who may provide emotional or material support. Understanding and improving self-efficacy on communication has implications for public health practice and engagement of BMSM.

Methods

Participants and Setting

After the baseline visit, participants completed a 6-month follow-up survey assessment. The outcome variable was only assessed at the 6-month follow-up assessment. We analyzed 6-month follow-up survey data from a randomized pilot trial of a behavioral HIV intervention conducted in Baltimore, Maryland, between 2011 and 2017. Participants were recruited using street-based outreach, advertising in area newspapers, and word-of-mouth referrals. Two types of participants were enrolled: indexes and networks. Index participants were individuals aged 18 years and older who self-reported being African American or Black, biological sex at birth was male, and they had sex with a man in the past 90 days. Network participants were individuals aged 18 years and older who were referred by the index participant to the research center to receive HIV antibody testing. Network members were eligible for survey assessments if they had one of following sexual risks: (1) unprotected vaginal or anal sex in past 90 days; (2) diagnosed with a sexually transmitted infection in the past 90 days; or (3) had sex with 2 or more people in the past 90 days. Both index and network participants who met the inclusion criteria and provided written informed consent completed baseline, 6-month, and 12-month survey assessments. Index participants who completed a baseline visit and showed up for randomization within 90 days of their baseline were eligible to be randomized into intervention or comparison conditions. The behavioral intervention provided training to index participants on how to (1) conduct peer health education, (2) promote HIV risk reduction among their social network members, (3) promote HIV voluntary counseling and testing (VCT) among their social network members, and (4) recruit social network members for VCT. The comparison condition was focused on HIV education, nutrition, and healthy eating. This study was approved by the Institute’s institutional review board.

The current analyses included all study participants (both index and network participants) who reported male sex at birth, African American or Black, sexually attracted to men or both men and women, and returned to complete the 6-month follow-up survey.

Measures

Dependent Variable

High self-efficacy in communicating with peers about men’s health issues was assessed by the question, “How confident do you feel in having conversations with peers about men’s health issues?” with response options from “very confident,” “somewhat confident,” “neither confident nor unconfident,” “somewhat unconfident,” and “very confident.” High self-efficacy in communicating with peers about men’s health issues was operationalized as a response of “very confident.”

Independent Variable

Individual characteristics

Age, highest education level (less than high school vs. high school or GED or higher), sexual identity (homosexual vs. others), employment status (full-/part-time employed vs. other), current health insurance status, and HIV status were self-reported. Homelessness was assessed by asking participants if they have been homeless during the past 6 months. Drug use was assessed by self-report of marijuana, crack, cocaine, heroin, recreational or prescription drug, methamphetamine, ecstasy, poppers, or club drugs use in the past 6 months. A dichotomous variable of multiple sex partners was determined by asking participants to provide the number of sexual partners they had in the prior 90 days, regardless of their partners’ gender or the type of sex had. Participants reported their frequency of condom use for anal and vaginal sex for all partners by choosing from the following categories: never, less than half the time, half the time, more than half the time, and always. A binary variable of condomless sex was created to indicate those who reported not always using condoms versus always using condoms with all partners for vaginal or anal sex.

Transactional sex was assessed by one question “Thinking of those people [you had sex within the past 90 days], have you had sex with any of them in the past 90 days to GET any of the following?” “Money ($25 or more)”, “Drugs,” “Food,” “A place to stay,” “Clothes or other gifts,” “Cigarettes.” A binary variable for transactional sex was created if participants chose at least one of the options (i.e., transactional sex vs. none).

Depressive symptoms were measured with the Center for Epidemiological Studies Depression (CES-D) scale, a 20-item survey with questions about symptoms, such as restless sleep, loneliness, or crying spells within the past week [53]. The CES-D was developed for use in the general population and has high validity and reliability [53]. In the current sample, the CES-D had a Cronbach’s alpha of 0.90, indicating excellent reliability. Answer choices range from 0 (rarely or none of the time) to 3 (most or almost all of the time). Scores were summed, and a cut-off score of 16 was used to determine the presence of depressive symptoms. A binary variable of community involvement was created by assessing the frequency of “going to places where gay men hang out, meet, or socialize” as at least once a month vs. less than once a month. Involvement in the house and ballroom community was assessed by the question “How often do you attend a house ball?” A binary variable was created to assess ever attending a house ball event. Data on intervention assignment for index participants and network participants’ indexes who recruited them to the study was also included in the model.

Social network characteristics

Social network characteristics were assessed using name generator questions, which elicited different domains of social support participants would receive during the last 6 months. Questions included “If you needed someone to talk to, who are the people that you could talk to about things that were personal and private?” “If you wanted to talk about any of your sexual experiences -- for example, if you had questions about different types of sex or other issues -- who would you talk to?” “If you wanted to talk about relationship issues that you are having with your same sex partners, who would you talk to?” “If you wanted to talk about relationship issues that you are having with your opposite sex partners, who would you talk to?” “if you needed some money, who would loan or give you some money?” Once the network was elicited, participants were asked about a variety of characteristics of the listed network members. The HIV status of each network was assessed by asking, “who on this list has HIV or AIDS?” Drug use among network was assessed with questions “who on this list has used heroin/smoked crack/used cocaine in the past 6 months.”

Data Analysis

Bivariate associations were examined using t test and chi-square statistics. To evaluate independent associations between individual and network characteristics and high self-efficacy of communicating about men’s health issues, all variables with p value less than 0.10 in bivariate analyses were adjusted into a multivariate logistic regression model with generalized estimating equations (GEE) [54]. GEE was used to account for the fact that index participants had multiple network members that contributed to the analysis and account for clustering in networks. Given the potential overlap in social network variables, backward stepwise selection method was used to choose social network variables in the final model. All analyses were performed using Stata Version 15.0. Table 1 presents descriptive results, and Table 2 bivariate associations.

Table 1.

Sample characteristics of 256 Black MSM (BMSM) and self-efficacy of communicating with peers about men’s health issues (Baltimore, Maryland)

N (%) Low self-efficacy High self-efficacy p value
256 N = 92 (35.94) N = 164 (64.06)
Age
  18–24 31 (12.11) 12 (113.04) 19 (11.6) 0.914
  25–40 110 (42.97) 40 (43.48) 70 (42.68)
  > 40 115 (44.92) 40 (43.48) 75 (45.73)
Sexual identity
  Bisexual, heterosexual, and other 149 (58.20) 67 (72.83) 82 (50.00) <.001
  Gay/homosexual 107 (41.48) 25 (27.17) 82 (50.00)
Current employment status
  Not working 161 (62.89) 58 (63.04) 103 (62.80) 0.97
  Employed full or part-time 95 (37.11) 34(36.96) 61 (37.20)
Education level
  Less than high school 46 (17.97) 19 (20.65) 27 (16.46) 0.402
  High school or GED or higher 210 (82.03) 73 (79.35) 137 (83.54)
Insurance
  No 29 (11.33) 11 (11.96) 18 (10.98) 0.812
  Yes 227 (88.67) 81 (88.04) 146 (89.02)
Homeless in the past 6 months
  No 209 (81.64) 69 (75.00) 140 (85.37) 0.04
  Yes 47 (18.36) 23 (25.00) 24 (14.63)
Condomless sex in the past 90 days
  No 65(25.39) 21 (22.83) 44 (26.83) 0.48
  Yes 191 (74.61) 71 (77.17) 120 (73.17)
Transactional sex in the past 90 days
  No 190 (74.22) 62 (67.39) 128 (78.05) 0.061
  Yes 54 (20.00) 26 (27.08) 28 (16.09)
Used any drug to get high in the past 6 months
  No 100 (39.06) 31 (33.70) 69 (42.07) 0.187
  Yes 156 (60.94) 61 (66.30) 95 (57.93
HIV status
  Negative 128 (50.00) 56 (60.87) 72 (43.90) 0.009
  Positive 128 (50.00) 36 (39.13) 92 (56.10)
Depressive symptoms (CES-D > 16)
  No 160 (62.50) 44 (47.83) 116 (70.73) <.001
  Yes 96 (37.50) 48 (52.17) 48 (29.27)
Participation in house or ballroom event
  No 208 (81.25) 81 (88.04) 127 (77.44) 0.037
  Yes 48 (18.75) 11 (11.96) 37 (22.56)
Frequency of socializing at places where gay men hangout
  Less than once a month 144 (56.25) 57 (61.96) 87 (53.05) 0.168
  At least once a month 112 (43.75) 35 (38.04) 77 (46.95)
Intervention assignment
  No randomization 68 (26.56) 28 (30.43) 40 (26.56) 0.548
  Intervention 88 (34.38) 31 (33.70) 57 (34.76)
  Control 100 (39.06) 33 (35.87) 67 (40.85)
Social network characteristics Mean (SD)
  Number of networks client named 4.53 (2.90) 4.38 (2.56) 4.62 (3.08) 0.534
  Number of networks who could talk to about private things 1.62 (1.31) 1.42 (.96) 1.73 (1.45) 0.076
  Number of networks who could talk to about sexual experiences .91 (1.09) .82 (.78) .96 (1.23) 0.297
  Number of networks who would talk about opposite sex partner issues .81 (1.09) .77 (.95) .84 (1.16) 0.655
  Number of networks who would talk about same sex partner issues .85 (1.02) .74 (.86) .91 (1.01) 0.201
  Number of networks would loan money to client 1.29(1.04) 1.09(0.83) 1.40(1.13) 0.022
  Number of networks who are HIV positive .64 (1.09) .35 (.64) .80 (1.25) 0.001
  Number of networks who have used heroin, cocaine, or crack cocaine in the past 6 months .38 (.98) .40 (.84) .36 (1.05) 0.776
  Number of networks who know client is MSM 2.45 (2.29) 2.12 (2.04) 2.64 (2.41) 0.081

Table 2.

Multivariate logistic regression model of high self-efficacy in communicating with peers about men’s health issues among BMSM (n = 256)

Adjusted odds ratio 95% CI p value
Sexual identity 2.1 1.15, 3.83 0.015
Homeless in the past 6 months 0.74 .36, 1.53 0.42
Transactional sex in the past 90 days 0.85 .56, 2.14 0.618
HIV status 1.09 .56, 2.13 0.794
Depressive symptoms (CES-D > 16) 0.43 .24, .77 0.005
Participation in house or ballroom event 2.5 1.14, 5.49 0.022
Social network characteristics
  Number of networks who are HIV positive 6.34 1.48, 27.11 0.013
  Number of networks would loan money to client 1.46 1.05, 2.03 0.024

Results

The current analyses included 256 BMSM. Close to two thirds (64%) of the sample reported high confidence in communicating with peers about men’s health issues. Socio-demographic and behavioral background information is provided in Table 1 (i.e., descriptive characteristics). The average age of this sample was 39 years (range: 18–68 years). More than half of the sample identified as bisexual, heterosexual, or other (58%) and 42% as gay or homosexual. Over half of the men were not working (63%) and half were living with HIV (50%). The mean size of the social network was 4.53 (SD = 2.90). Participants reported having an average number of 2.45 (SD = 2.29) network members who knew they were MSM; 1.62 (SD = 1.31) network members whom they could talk to about private things and 1.29 (SD = 1.04) network members who would loan them money.

Table 2 (i.e., bivariate analysis) presents the results of a multivariate logistic regression model that include independent variables with p value less than 0.10 in bivariate analyses with backward stepwise selection method for social network factors. Multivariate logistic regression showed that odds of high self-efficacy of communicating with peers about men’s health issues were higher among BMSM who identified as gay or homosexual than BMSM who identified as bisexual, heterosexual, or other (adjusted odds ratio [AOR] : 2.10, 95% Confidence Interval [CI]: 1.15,3.83). A large number of networks involved in the house and ballroom community (AOR: 2.50, 95% CI: 1.14, 5.49) and a larger number of networks who are living with HIV (AOR: 6.34, 95% CI: 1.48, 27.11) were independently associated with high self-efficacy of communicating with peers about men’s health issues. BMSM with a larger networks who would loan them money (AOR: 1.46, 95% CI: 1.05, 2.03) were statistically significantly associated with high self-efficacy of communicating with peers about men’s health issues. Finally, we found that having depressive symptoms (AOR: 0.43, 95% CI: 0.24, 0.77) was negatively associated with high self-efficacy of communicating with peers about men’s health issues.

Discussion

Our results suggest that gay or homosexual identity, involvement in the house and ballroom community, and those with larger numbers of individuals living with HIV or with larger numbers of individuals who can provide financial support in their social network were more likely to report high self-efficacy of communicating with peers about men’s health issues among BMSM. We also found that having depressive symptoms was negatively associated with high self-efficacy of communicating with peers about men’s health issues. These characteristics have important implications for better identification of CPOL and other types of peer educators for future programs to address health disparities among BMSM. The findings underscore the importance of recognizing the diversity of sexual identities of BMSM in developing culturally specific interventions. These results are in line with previous findings that indicate Black men who are sexual minorities may not be captured solely in sexual identity of MSM categories [55, 56]. Gay identity has been associated with lower HIV risk behavior [57] among BMSM. However, the persistently high HIV and STI rates among BMSM suggests a need for culturally specific and network-based communication strategies that incorporate multiple sexual identities. For example, BMSM who self-identify as gay or homosexual may have less self-stigma/internalized stigma than those with other sexual identities, so they may be more comfortable talking to their peers about men’s health. Conversely, BMSM who do not identify as gay will not be reached through approaches or strategies that solely emphasize sexual or gender minority identities. This suggests that future research is needed on who non-gay-identified men interact with and are influenced by. Approaches encompassing other identities (e.g., gender, race) that resonate with BMSM are much needed as are programs that may promote new identities that encompass a range of sexual identities. Tapping into existing community networks with various intersectional identities to disseminate culturally specific messages to BMSM may enhance their reach and impact.

In the current study, BMSM with depressive symptoms were less likely to report high confidence in communicating with peers about men’s health issues. This finding is in line with previous studies that reveal that communication processes are negatively impacted by mental health problems [58, 59]. Mental health problems, including depression, disproportionately impact BMSM [60] and can affect information or treatment seeking behavior [61, 62]. This has implications for HIV among BMSM as rates of HIV are higher among individuals with mental illness [63]. Furthermore, a recent study found that BMSM with depressive symptoms were less likely to have emotional, medical, and financial support [64]. This suggests that peer support or CPOL models could be utilized to enhance social support among BMSM. However, our finding suggests that BMSM with depressive symptoms may face challenges as CPOLs due to lower self-efficacy of communicating with peers about men’s health issues.

Another finding from the current study is that BMSM who ever participated in a house or ballroom event were more likely to report high self-efficacy of communicating with peers about men’s health issues. The house and ballroom communities are at increased risk for HIV and other STIs [65, 66]. Our finding corroborates existing literature on house and ball communities as a viable places to promote HIV risk reduction and a mechanism for fostering self-efficacy [67] [39]. Limited prior research on house and ballroom communities has documented the relationship between participation, communication, and protective traits derived for BMSM [68]. BMSM often engage in these networks as a means of social support [69], as naturally occurring “peer education” and social capital have long existed in the house and ballroom community. Our finding provides new evidence that individuals in networks with larger proportions of BMSM from house and ballroom communities could be leveraged for future interventions. Future CPOL-based interventions for house and ballroom communities should incorporate other competing priorities, such as employment components to address high unemployment among BMSM. House leaders often place an emphasis on economic empowerment and leadership development due to the low socioeconomic status of many BMSM participants [70]. The peer mentorship and emotional and financial support that these networks provide may reduce negative outcomes related to transactional and or trade sex among BMSM due to limited employment opportunities. Therefore, financial issues should be addressed in developing HIV prevention and care programs in house and ballroom communities. For example, credible house leaders could have training on how to assist others with economic- and employment-related issues, so house members could potentially access tangible financial and workforce development resources.

Several social network factors were found to be associated with high self-efficacy of communicating with peers about men’s health issues. BMSM with a larger number of network members who would loan them money were more likely to have high self-efficacy of communicating with peers about men’s health issues. This result indicates that social capital, such as financial support from networks among BMSM, may have a positive influence on communication with peers and potentially sexual partners. These data elucidate a more nuanced context for understanding prevention communication and interventions for BMSM. Future research is needed to investigate the extent to which individual characteristics and interpersonal factors (e.g., social support, social capital, access to economic resources) within networks affect peer communication. These characteristics and factors may have important implications for addressing social and structural factors related to health disparities among BMSM.

Our evidence also suggests that BMSM who had a larger number of people living with HIV in their network were more likely to have greater self-efficacy in communicating with peers about men’s health issues. The larger size of networks living with HIV may be the result of more HIV disclosure and acceptance of HIV positivity among networks, which can be an indicator of positive social norms associated with HIV or other men’s health issues. HIV disclosure could lead to more discussions about HIV and other health issues [7173]. Future HIV, STI, and other health promotion programs designed to reach BMSM should consider further leveraging network members living with HIV to disseminate health communication messages into these complex and high-risk networks.

The findings must be considered within the limitations of the study design. First, this was a convenience sample of BMSM and therefore not generalizable to all BMSM in Baltimore or other settings. Second, the use of self-report data could be subject to social desirability [74] and recall bias [75]. Third, the cross-sectional design of the study limits our ability to draw causal inferences about characteristics and communication. Fourth, the small sample size of members from the house and ball community in this analysis should be noted given the implications for HIV prevention in BMSM communities. Finally, positive attitudes about communication are not sufficient for actual conversations to occur. Designing interventions that increase communication with social networks is warranted [76].

Despite the limitations, results from the current study expand knowledge of the individual and social network characteristics of BMSM with high self-efficacy of communicating with peers about men’s health issues. Communicating about health issues among BMSM may address norms around HIV and expand harm reduction strategies to subpopulations of BMSM. Interpersonal [20] and internet-based strategies [7779] have been used to reach BMSM with health promotion messages, but there are scant analyses of the individual or social network characteristics of the BMSM CPOLs. Further research should investigate the effectiveness of intervention messages or delivery based on CPOLs with various individual and network characteristics.

Acknowledgements

This work was funded by R01DA031030 from the National Institute of Drug Abuse, R01MD013495 from the National Institute on Minority Health and Heath Disparities, R34MH116725 from the National Institute of Mental Health.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Jordan J. White, Email: jjwhite@jhu.edu

Cui Yang, Email: cyang29@jhu.edu.

Karin E. Tobin, Email: ktobin2@jhu.edu

Chris Beyrer, Email: cbeyrer1@jhu.edu.

Carl A. Latkin, Email: carl.latkin@jhu.edu

References

  • 1.Li Z, Purcell DW, Sansom SL, Hayes D, Hall HI. Vital signs: HIV transmission along the continuum of care—United States, 2016. Morb Mortal Wkly Rep. 2019;68(11):267–272. doi: 10.15585/mmwr.mm6811e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Llata E, Braxton J, Asbel L, Kerani RP, Murphy R, Pugsley R, Pathela P, Schumacher C, Tabidze I, Weinstock HS. New human immunodeficiency virus diagnoses among men who have sex with men attending sexually transmitted disease clinics, STD surveillance network, January 2010 to June 2013. Sex Transm Dis. 2018;45(9):577–582. doi: 10.1097/OLQ.0000000000000802. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Fauci AS, Redfield RR, Sigounas G, Weahkee MD, Giroir BP. Ending the HIV epidemic: a plan for the United States. Jama. 2019;321(9):844–845. doi: 10.1001/jama.2019.1343. [DOI] [PubMed] [Google Scholar]
  • 4.Millett GA, Peterson JL, Flores SA, Hart TA, Jeffries WL, 4th, Wilson PA, Rourke SB, Heilig CM, Elford J, Fenton KA, Remis RS. Comparisons of disparities and risks of HIV infection in black and other men who have sex with men in Canada, UK, and USA: a meta-analysis. Lancet. 2012;380(9839):341–348. doi: 10.1016/S0140-6736(12)60899-X. [DOI] [PubMed] [Google Scholar]
  • 5.Sullivan PS, Peterson J, Rosenberg ES, Kelley CF, Cooper H, Vaughan A, Salazar LF, Frew P, Wingood G, DiClemente R, Rio C, Mulligan M, Sanchez TH. Understanding racial HIV/STI disparities in black and white men who have sex with men: a multilevel approach. PLoS One. 2014;9(3):e90514. doi: 10.1371/journal.pone.0090514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Merchant RC, Corner D, Garza E, Guan W, Mayer KH, Brown L, et al. Preferences for HIV pre-exposure prophylaxis (PrEP) information among men who have sex with men (MSM) at community outreach settings. Journal of Gay & Lesbian Mental Health. 2016;20(1):21–33. [DOI] [PMC free article] [PubMed]
  • 7.Mena L, Crosby RA, Chamberlain N. Extragenital chlamydia and gonorrhea in young black men who have sex with men: missed treatment opportunities for human immunodeficiency virus–infected men who have sex with men? Sex Transm Dis. 2018;45(5):307–311. doi: 10.1097/OLQ.0000000000000746. [DOI] [PubMed] [Google Scholar]
  • 8.Mimiaga MJ, Reisner SL, Bland S, Skeer M, Cranston K, Isenberg D, Vega BA, Mayer KH. Health system and personal barriers resulting in decreased utilization of HIV and STD testing services among at-risk black men who have sex with men in Massachusetts. AIDS Patient Care STDs. 2009;23(10):825–835. doi: 10.1089/apc.2009.0086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Irvin R, Wilton L, Scott H, Beauchamp G, Wang L, Betancourt J, Lubensky M, Wallace J, Buchbinder S. A study of perceived racial discrimination in black men who have sex with men (MSM) and its association with healthcare utilization and HIV testing. AIDS Behav. 2014;18(7):1272–1278. doi: 10.1007/s10461-014-0734-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Quinn K, et al. “A gay man and a doctor are just like, a recipe for destruction”: how racism and homonegativity in healthcare settings influence PrEP uptake among young black MSM. AIDS Behav. 2018:1–13. [DOI] [PMC free article] [PubMed]
  • 11.Saleh LD, van den Berg JJ, Chambers CS, Operario D. Social support, psychological vulnerability, and HIV risk among African American men who have sex with men. Psychol Health. 2016;31(5):549–564. doi: 10.1080/08870446.2015.1120301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Meyer JA. Improving men's health: developing a long-term strategy. American Journal of Public Health 2003;93(5):709-711. 10.2105/ajph.93.5.709 [DOI] [PMC free article] [PubMed]
  • 13.Widman L, Golin CE, Noar SM. When do condom use intentions lead to actions? Examining the role of sexual communication on safer sexual behavior among people living with HIV. J Health Psychol. 2013;18(4):507–517. doi: 10.1177/1359105312446769. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Wohl AR, Galvan FH, Carlos JA, Myers HF, Garland W, Witt MD, Cadden J, Operskalski E, Jordan W, George S. A comparison of MSM stigma, HIV stigma and depression in HIV-positive Latino and African American men who have sex with men (MSM) AIDS Behav. 2013;17(4):1454–1464. doi: 10.1007/s10461-012-0385-9. [DOI] [PubMed] [Google Scholar]
  • 15.Schrimshaw EW, Downing MJ, Cohn DJ. Reasons for non-disclosure of sexual orientation among behaviorally bisexual men: non-disclosure as stigma management. Arch Sex Behav. 2018;47(1):219–233. doi: 10.1007/s10508-016-0762-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sun CJ, Tobin K, Spikes P, Latkin C. Correlates of same-sex behavior disclosure to health care providers among Black MSM in the United States: implications for HIV prevention. AIDS Care. 2019;31(8):1011–1018. doi: 10.1080/09540121.2018.1548753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Serovich JM, Laschober TC, Brown MJ, Kimberly JA. Assessment of HIV disclosure and sexual behavior among Black men who have sex with men following a randomized controlled intervention. Int J STD AIDS. 2018;29(7):673–679. doi: 10.1177/0956462417751812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Simon Rosser B, et al. Predictors of HIV disclosure to secondary partners and sexual risk behavior among a high-risk sample of HIV-positive MSM: results from six epicenters in the US. AIDS Care. 2008;20(8):925–930. doi: 10.1080/09540120701767265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Henny KD, Drumhiller K, Sutton MY, Nanín J. “My sexuality… it creates a stress”: HIV-related communication among bisexual Black and Latino men, New York City. Arch Sex Behav. 2019;48(1):347–356. doi: 10.1007/s10508-018-1264-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Aholou TM, Nanin J, Drumhiller K, Sutton MY. Opportunities for HIV prevention communication during sexual encounters with black men who have sex with men. AIDS Patient Care STDs. 2017;31(1):33–40. doi: 10.1089/apc.2016.0220. [DOI] [PubMed] [Google Scholar]
  • 21.Li L, Guan J, Liang LJ, Lin C, Wu Z. Popular opinion leader intervention for HIV stigma reduction in health care settings. AIDS Educ Prev. 2013;25(4):327–335. doi: 10.1521/aeap.2013.25.4.327. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Simoni JM, Nelson KM, Franks JC, Yard SS, Lehavot K. Are peer interventions for HIV efficacious? A systematic review. AIDS Behav. 2011;15(8):1589–1595. doi: 10.1007/s10461-011-9963-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Theall KP, Fleckman J, Jacobs M. Impact of a community popular opinion leader intervention among African American adults in a southeastern United States community. AIDS Educ Prev. 2015;27(3):275–287. doi: 10.1521/aeap.2015.27.3.275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Group, N.C.H.S.P.T Results of the NIMH collaborative HIV/STD prevention trial of a community popular opinion leader intervention. J Acquir Immune Defic Syndr. 2010;54(2):204. doi: 10.1097/QAI.0b013e3181d61def. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Rogers, E.M., Diffusion of innovations. New York, NY. 2010: Simon and Schuster.
  • 26.Bandura, A. and R.H. Walters, Social learning theory. Vol. 1 Englewood Cliffs, NJ. 1977: Prentice Hall.
  • 27.Festinger, L. Conflict, decision, and dissonance. Palo Alton, CA. 1964: . Stanford University Press.
  • 28.Tobin K, Kuramoto SJ, German D, Fields E, Spikes PS, Patterson J, Latkin C. Unity in diversity: results of a randomized clinical culturally tailored pilot HIV prevention intervention trial in Baltimore, Maryland, for African American men who have sex with men. Health Educ Behav. 2013;40(3):286–295. doi: 10.1177/1090198112452125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Bandura A. Self-efficacy mechanism in human agency. Am Psychol. 1982;37(2):122–147. [Google Scholar]
  • 30.Bandura, A., Social foundations of thought and action. Englewood Cliffs, NJ, 1986. Prentice Hhall.
  • 31.Ko N-Y, Hsieh CH, Wang MC, Lee C, Chen CL, Chung AC, Hsu ST. Effects of internet popular opinion leaders (iPOL) among Internet-using men who have sex with men. J Med Internet Res. 2013;15(2):e40. doi: 10.2196/jmir.2264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Latkin CA, Knowlton AR. Social network assessments and interventions for health behavior change: a critical review. Behav Med. 2015;41(3):90–97. doi: 10.1080/08964289.2015.1034645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Latkin CA, Sherman S, Knowlton A. HIV prevention among drug users: outcome of a network-oriented peer outreach intervention. Health Psychol. 2003;22(4):332–339. doi: 10.1037/0278-6133.22.4.332. [DOI] [PubMed] [Google Scholar]
  • 34.Kelly JA. Popular opinion leaders and HIV prevention peer education: resolving discrepant findings, and implications for the development of effective community programmes. AIDS Care. 2004;16(2):139–150. doi: 10.1080/09540120410001640986. [DOI] [PubMed] [Google Scholar]
  • 35.Young SD, Cumberland WG, Nianogo R, Menacho LA, Galea JT, Coates T. The HOPE social media intervention for global HIV prevention in Peru: a cluster randomised controlled trial. The lancet HIV. 2015;2(1):e27–e32. doi: 10.1016/S2352-3018(14)00006-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Jones KT, Gray P, Whiteside YO, Wang T, Bost D, Dunbar E, Foust E, Johnson WD. Evaluation of an HIV prevention intervention adapted for Black men who have sex with men. Am J Public Health. 2008;98(6):1043–1050. doi: 10.2105/AJPH.2007.120337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Somerville GG, et al. Adapting the popular opinion leader intervention for Latino young migrant men who have sex with men. AIDS Educ Prev. 2006;18(supp):137–148. doi: 10.1521/aeap.2006.18.supp.137. [DOI] [PubMed] [Google Scholar]
  • 38.Arnold EA, Bailey MM. Constructing home and family: how the ballroom community supports African American GLBTQ youth in the face of HIV/AIDS. J Gay Lesbian Soc Serv. 2009;21(2–3):171–188. doi: 10.1080/10538720902772006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Hosek SG, Lemos D, Hotton AL, Fernandez MI, Telander K, Footer D, Bell M. An HIV intervention tailored for black young men who have sex with men in the House Ball Community. AIDS Care. 2015;27(3):355–362. doi: 10.1080/09540121.2014.963016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Podolny JM, Baron JN. Resources and relationships: social networks and mobility in the workplace. Am Sociol Rev. 1997;62:673–693. [Google Scholar]
  • 41.Schneider JA, Zhou AN, Laumann EO. A new HIV prevention network approach: sociometric peer change agent selection. Soc Sci Med. 2015;125:192–202. doi: 10.1016/j.socscimed.2013.12.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Schneider JA, Dandona R, Pasupneti S, Lakshmi V, Liao C, Yeldandi V, Mayer KH. Initial commitment to pre-exposure prophylaxis and circumcision for HIV prevention amongst Indian truck drivers. PLoS One. 2010;5(7):e11922. doi: 10.1371/journal.pone.0011922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Odeny TA, Petersen M, Muga CT, Lewis-Kulzer J, Bukusi EA, Geng EH. Rapid sociometric mapping of community health workers to identify opinion leaders using an SMS platform: a short report. Implement Sci. 2017;12(1):80. doi: 10.1186/s13012-017-0611-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Schneider JA, Laumann EO. Alternative explanations for negative findings in the community popular opinion leader multisite trial and recommendations for improvements of health interventions through social network analysis. J Acquir Immune Defic Syndr. 2011;56(4):e119–e120. doi: 10.1097/QAI.0b013e318207a34c. [DOI] [PubMed] [Google Scholar]
  • 45.Valente TW, Pumpuang P. Identifying opinion leaders to promote behavior change. Health Educ Behav. 2007;34(6):881–896. doi: 10.1177/1090198106297855. [DOI] [PubMed] [Google Scholar]
  • 46.Kajula LJ, et al. Engaging young men as community health leaders in an STI and intimate partner violence prevention trial in Dar es Salaam, Tanzania. Global Social Welfare, 2019: p. 1–8. [DOI] [PMC free article] [PubMed]
  • 47.Holloway I, Bednarczyk R, Fenimore V, Goldbeck C, Wu E, Himmelstein R, Tan D, Randall L, Lutz C, Frew P. Factors associated with immunization opinion leadership among men who have sex with men in Los Angeles, California. Int J Environ Res Public Health. 2018;15(5):939. doi: 10.3390/ijerph15050939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Young SD, Holloway I, Jaganath D, Rice E, Westmoreland D, Coates T. Project HOPE: online social network changes in an HIV prevention randomized controlled trial for African American and Latino men who have sex with men. Am J Public Health. 2014;104(9):1707–1712. doi: 10.2105/AJPH.2014.301992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Young LE, Fujimoto K, Schneider JA. HIV prevention and sex behaviors as organizing mechanisms in a Facebook group affiliation network among young black men who have sex with men. AIDS Behav. 2018;22(10):3324–3334. doi: 10.1007/s10461-018-2087-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Latkin C, Mandell W, Oziemkowska M, Celentano D, Vlahov D, Ensminger M, Knowlton A. Using social network analysis to study patterns of drug use among urban drug users at high risk for HIV/AIDS. Drug Alcohol Depend. 1995;38(1):1–9. doi: 10.1016/0376-8716(94)01082-v. [DOI] [PubMed] [Google Scholar]
  • 51.Rothenberg R, Kimbrough L, Lewis-Hardy R, Heath B, Williams OC, Tambe P, Johnson D, Schrader M. Social network methods for endemic foci of syphilis: a pilot project. Sex Transm Dis. 2000;27(1):12–18. doi: 10.1097/00007435-200001000-00003. [DOI] [PubMed] [Google Scholar]
  • 52.Latkin CA, Hua W, Forman V. The relationship between social network characteristics and exchanging sex for drugs or money among drug users in Baltimore, MD, USA. Int J STD AIDS. 2003;14(11):770–775. doi: 10.1258/09564620360719831. [DOI] [PubMed] [Google Scholar]
  • 53.Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1(3):385–401. [Google Scholar]
  • 54.Liang KY, Zeger SL, Qaqish B. Multivariate regression analyses for categorical data. J R Stat Soc Ser B Methodol. 1992;54(1):3–24. [Google Scholar]
  • 55.McAloney-Kocaman K, Lorimer K, Flowers P, Davis M, Knussen C, Frankis J. Sexual identities and sexual health within the Celtic nations: an exploratory study of men who have sex with men recruited through social media. Glob Public Health. 2016;11(7–8):1049–1059. doi: 10.1080/17441692.2016.1185450. [DOI] [PubMed] [Google Scholar]
  • 56.Truong N, Perez-Brumer A, Burton M, Gipson J, Hickson DM. What is in a label? Multiple meanings of ‘MSM’ among same-gender-loving black men in Mississippi. Global Public Health. 2016;11(7–8):937–952. doi: 10.1080/17441692.2016.1142593. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Henny KD, Nanin J, Gaul Z, Murray A, Sutton MY. Gay identity and HIV risk for Black and Latino men who have sex with men. Sex Cult. 2018;22(1):258–270. doi: 10.1007/s12119-017-9465-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Segrin C. Social skills deficits associated with depression. Clin Psychol Rev. 2000;20(3):379–403. doi: 10.1016/s0272-7358(98)00104-4. [DOI] [PubMed] [Google Scholar]
  • 59.Cummins N, Scherer S, Krajewski J, Schnieder S, Epps J, Quatieri TF. A review of depression and suicide risk assessment using speech analysis. Speech Comm. 2015;71:10–49. [Google Scholar]
  • 60.De Santis JP, Vasquez EP. A pilot study to evaluate ethnic/racial differences in depressive symptoms, self-esteem, and sexual behaviors among men who have sex with men. J Gay Lesbian Soc Serv. 2011;23(2):147–164. [Google Scholar]
  • 61.Ojeda VD, McGuire TG. Gender and racial/ethnic differences in use of outpatient mental health and substance use services by depressed adults. Psychiatry Q. 2006;77(3):211–222. doi: 10.1007/s11126-006-9008-9. [DOI] [PubMed] [Google Scholar]
  • 62.Thompson VLS, Bazile A, Akbar M. African Americans' perceptions of psychotherapy and psychotherapists. Prof Psychol Res Pract. 2004;35(1):19–26. [Google Scholar]
  • 63.Blank MB, Himelhoch SS, Balaji AB, Metzger DS, Dixon LB, Rose CE, Oraka E, Davis-Vogel A, Thompson WW, Heffelfinger JD. A multisite study of the prevalence of HIV with rapid testing in mental health settings. Am J Public Health. 2014;104(12):2377–2384. doi: 10.2105/AJPH.2013.301633. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Latkin CA, van Tieu H, Fields S, Hanscom BS, Connor M, Hanscom B, Hussen SA, Scott HM, Mimiaga MJ, Wilton L, Magnus M, Chen I, Koblin BA. Social network factors as correlates and predictors of high depressive symptoms among black men who have sex with men in HPTN 061. AIDS Behav. 2017;21(4):1163–1170. doi: 10.1007/s10461-016-1493-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Phillips G, et al. House/ball culture and adolescent African-American transgender persons and men who have sex with men: a synthesis of the literature. AIDS Care. 2011;23(4):515–520. doi: 10.1080/09540121.2010.516334. [DOI] [PubMed] [Google Scholar]
  • 66.Castillo M, Palmer BJ, Rudy BJ, Fernandez MI, The Adolescent Medicine Trials Netw Creating partnerships for HIV prevention among YMSM: the connect to protect project and House and Ball Community in Philadelphia. J Prev Interv Community. 2012;40(2):165–175. doi: 10.1080/10852352.2012.660126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Levitt HM, Horne SG, Freeman-Coppadge D, Roberts T. HIV prevention in gay family and house networks: fostering self-determination and sexual safety. AIDS Behav. 2017;21(10):2973–2986. doi: 10.1007/s10461-017-1774-x. [DOI] [PubMed] [Google Scholar]
  • 68.Young LE, Jonas AB, Michaels S, Jackson JD, Pierce ML, Schneider JA, uConnect Study Team Social-structural properties and HIV prevention among young men who have sex with men in the ballroom house and independent gay family communities. Soc Sci Med. 2017;174:26–34. doi: 10.1016/j.socscimed.2016.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Arnold EA, Sterrett-Hong E, Jonas A, Pollack LM. Social networks and social support among ball-attending African American men who have sex with men and transgender women are associated with HIV-related outcomes. Glob Public Health. 2018;13(2):144–158. doi: 10.1080/17441692.2016.1180702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Wong JO, Benjamin M, Arnold EA. 'I want the heart of fierceness to arise within us': maintaining public space to promote HIV-related health with House Ball Community members in an era of gentrification. Cult Health Sex. 2020;22(4):444-458. 10.1080/13691058.2019.1606281 [DOI] [PubMed]
  • 71.Kalichman SC, Kalichman MO, Cherry C, Grebler T. HIV disclosure and transmission risks to sex partners among HIV-positive men. AIDS Patient Care STDs. 2016;30(5):221–228. doi: 10.1089/apc.2015.0333. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Crepaz N, Marks G. Serostatus disclosure, sexual communication and safer sex in HIV-positive men. AIDS Care. 2003;15(3):379–387. doi: 10.1080/0954012031000105432. [DOI] [PubMed] [Google Scholar]
  • 73.O’Connell AA, Reed SJ, Serovich JA. The efficacy of serostatus disclosure for HIV transmission risk reduction. AIDS Behav. 2015;19(2):283–290. doi: 10.1007/s10461-014-0848-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Rao A, Tobin K, Davey-Rothwell M, Latkin CA. Social desirability bias and prevalence of sexual HIV risk behaviors among people who use drugs in Baltimore, Maryland: implications for identifying individuals prone to underreporting sexual risk behaviors. AIDS Behav. 2017;21(7):2207–2214. doi: 10.1007/s10461-017-1792-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Jaccard J, McDonald R, Wan CK, Guilamo-Ramos V, Dittus P, Quinlan S. Recalling sexual partners: the accuracy of self-reports. J Health Psychol. 2004;9(6):699–712. doi: 10.1177/1359105304045354. [DOI] [PubMed] [Google Scholar]
  • 76.Tobin KE, Yang C, Sun C, Spikes P, Latkin CA. Discrepancies between HIV prevention communication attitudes and actual conversations about HIV testing within social and sexual networks of African American men who have sex with men. Sex Transm Dis. 2014;41(4):221–226. doi: 10.1097/OLQ.0000000000000112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Pellowski J, Mathews C, Kalichman MO, Dewing S, Lurie MN, Kalichman SC. Advancing partner notification through electronic communication technology: a review of acceptability and utilization research. J Health Commun. 2016;21(6):629–637. doi: 10.1080/10810730.2015.1128020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Mimiaga MJ, Tetu AM, Gortmaker S, Koenen KC, Fair AD, Novak DS, VanDerwarker R, Bertrand T, Adelson S, Mayer KH. HIV and STD status among MSM and attitudes about internet partner notification for STD exposure. Sex Transm Dis. 2008;35(2):111–116. doi: 10.1097/OLQ.0b013e3181573d84. [DOI] [PubMed] [Google Scholar]
  • 79.Chiu CJ, Young SD. The relationship between online social network use, sexual risk behaviors, and HIV sero-status among a sample of predominately African American and Latino men who have sex with men (MSM) social media users. AIDS Behav. 2015;19(2):98–105. doi: 10.1007/s10461-014-0986-6. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Urban Health : Bulletin of the New York Academy of Medicine are provided here courtesy of New York Academy of Medicine

RESOURCES