Abstract
Treatment as prevention (TaSP) is a critical component of biomedical interventions to prevent HIV transmission. However, its success is predicated on testing and identifying undiagnosed individuals to ensure linkage and retention in HIV care. Research has examined the impact of HIV-associated stigma on HIV-positive individuals, but little work has explored how anticipated HIV stigma–the expectation of rejection or discrimination against by others in the event of seroconversion—may serve as a barrier to HIV testing behaviors. This study examined the association between anticipated stigma and HIV testing behaviors among a sample of 305 men who have sex with men (MSM) and transgender women living in New York City. Participants' mean age was 33.0; 65.5% were racial/ethnic minority; and 50.2% earned <$20,000 per year. Overall, 32% of participants had not had an HIV test in the past 6 months. Anticipated stigma was negatively associated with risk perception. In multivariate models, anticipated stigma, risk perception, and younger age were significant predictors of HIV testing behaviors. Anti-HIV stigma campaigns targeting HIV-negative individuals may have the potential to significantly impact social norms around HIV testing and other biomedical strategies, such pre-exposure prophylaxis, at a critical moment for the redefinition of HIV prevention.
Introduction
In the fourth decade of the HIV epidemic, ∼2,700,000 people worldwide become newly infected each year.1 In the United States (US), the epidemic is particularly stark among men who have sex with men (MSM) and transgender women, who represent 61% of new infections, and are the only groups for whom rates of HIV continue to rise.2 Recent data demonstrate the critical importance of antiretroviral therapy (ART), not only in promoting optimal health for those affected by HIV, but also in preventing the spread of new infections.3 One randomized controlled trial 4 and multiple observational studies5–8 indicate that HIV-positive individuals who are virally suppressed on ART are significantly less likely to transmit the virus to their sexual partners. Often called “treatment as prevention” (TasP), the strategy of ensuring that as many HIV-infected individuals as possible are linked to care and provided with appropriate medications is a critical component of biomedical prevention and future efforts to best combat the epidemic.9
However, the success of TasP is predicated on our ability to provide regular HIV testing to populations at high risk for infection. Estimates suggest that >20% of HIV-positive individuals living in the US are unaware of their HIV status.10 These rates may be even higher among MSM; in an analysis conducted by the Centers for Disease Control (CDC), almost 44% of MSM testing positive in 21 metropolitan areas were previously unaware of their infection.11As such, both policy makers and public health officials are engaging in efforts to facilitate regular HIV testing, especially among MSM to mitigate the harm to those of unknown serostatus and reduce transmission rates.12 The national HIV/AIDS strategy prioritizes HIV testing and prevention efforts for MSM,13 and CDC guidelines now recommend that all sexually active MSM undergo HIV testing every 3–6 months.14
Research suggests that many MSM do test for HIV regularly; however, a significant number do not test according to CDC guidelines every 3–6 months. Recent studies estimate that only 58% of MSM have been tested in the past year,12,15 with only one third reporting testing every 6 months. Regular testing is more common among younger MSM,16,17 and those who report more sexual risk behavior,18–20 have health insurance,21 or are employed,21 as well as those with better access to testing sites.19,22 Research on partnership status is equivocal; some studies suggest that MSM in a primary main partnership are more likely to test,19,23 whereas others find the opposite.24
In addition to understanding these demographic and behavioral factors, efforts to increase regular HIV testing among MSM can be informed by theory and research from social and health psychology regarding the impact of perceived stigma on health behaviors.25 Research suggests that individuals sometimes act in ways that undermine their objective self-interest in order to reduce their association with a stigmatized condition.26 For example, in order to differentiate themselves from high-risk groups, some individuals underestimate their risk of contracting a stigmatized illness, such as HIV or other sexually transmitted diseases.27 The underestimation of perceived risk often translates into lower rates of testing and treatment for stigmatized conditions, and poses a significant barrier to preventative behaviors.28 A growing body of research throughout the world indicates that greater HIV-related prejudice (i.e., “People who have AIDS are dirty” “I do not want to be friends with someone who has AIDS”) is associated with decreased HIV testing rates.29–33 In a sample of former injection drug users (IDU) in the US, Earnshaw and colleagues demonstrated that perceived HIV risk mediated the relationship between HIV stereotypes (e.g., most people who are HIV are gay, prostitutes) and testing behavior, such that individuals who held more HIV stereotypes perceived themselves at lower risk for HIV and therefore tested less regularly.34 Similarly, studies have illustrated that people at risk for HIV or living with the disease may delay or fail to access care, to avoid rejection by providers, families, and the general public.35–37
However, little research has examined the impact on HIV-testing of anticipated HIV stigma, that is, HIV-negative individuals' expectations that they would experience HIV stigma themselves if they were infected. In the case of anticipated stigma, HIV-negative individuals may or may not endorse stigmatizing beliefs or stereotypes about HIV-positive persons themselves. However, we theorize that their knowledge of negative societal attitudes toward infected individuals may cause them to be concerned about experiencing rejection, discrimination, isolation, or shame in the event of an HIV diagnosis. This concern about future stigmatization from others may serve as a psychological barrier to finding out one's status. In past research on the relationship between HIV stigma and testing behavior, stereotypes or other negative beliefs about persons with HIV led to distancing and reduced risk perception; that is, individuals avoided HIV testing because “people like me” aren't at risk. In an anticipated stigma model, risk perception is not disrupted, but individuals avoid testing because they fear the negative consequences of a positive result.
The current study was designed to build on past research on the association between HIV stigma and testing behavior, to examine the role of anticipated HIV stigma in distinguishing between MSM who report regular testing and those who do not. In contrast to past research, we hypothesized that anticipated stigma would not be associated with decreased risk perception, and that the association between anticipated stigma and testing behavior would not be mediated by individuals' perceived risk for HIV.
Methods
Participants and procedures
Participants were recruited in New York City using a passive recruitment methods (i.e., flyers), active recruitment methods (i.e., outreach at bars, events, community-based organizations), and participant referral. Eligible individuals were born male (regardless of current gender identity), ≥18 years of age, self-reported an HIV-negative serostatus, and reported at least one act of unprotected sex with a male partner in the previous 30 days. Data for this article were collected between January 2012 and April 2013. Participants completed a self-administered survey on the computer at the research center. All procedures were reviewed and approved by the Human Research Protections Program at the City University of New York.
Measures
Demographics
Participants were asked to report age, education, income, gender identity, race/ethnicity, relationship status, and sexual identity.
HIV testing behavior
Participants were asked to respond to the following item: “When was the last time you received an HIV test?” Responses were dichotomized as 1=within the last 6 months (i.e., consistent with CDC guidelines) and 0=more than 6 months ago.
Anticipated HIV stigma
Participants completed an abbreviated seven item version of our anticipated HIV stigma scale,38 designed to measure the extent to which participants anticipated negative intrapersonal and interpersonal consequences were they to contract HIV in the future. Consistent with past literature, this measure included both internalization of stigma (e.g. “I would feel I were not as good a person as others if I got HIV”) and negative consequences of stigma (e.g., “If I got infected men would not want to have sex with me”). All seven items were rated on a Likert-type scale (1=Strongly Disagree; 4=Strongly Agree). A principal components factor analysis (conducted in SPSS version 20) was used to examine the underlying factor structure of the seven items (Kaiser–Meyer–Olson=0.82), and supported the presence of a single factor solution, accounting for ∼48.7% of total variance across the seven items. As such, items were summed to form an overall anticipated stigma score (α=0.82), with higher values indicting greater anticipated stigma.
Perceived risk
Participants were asked: “How likely do you think you are to get HIV in your lifetime?” Partners were asked to respond on a visual analog scale ranging from 0 (Not at all) to 100 (I will definitely get HIV in my lifetime).
Sexual risk behavior
The timeline follow-back (TLFB) semistructured interview,39 modified for the assessment of sexual risk behavior,40 was used to collect data for the previous 30 days. Using a calendar, interviewers asked participants to report the type of sexual activity (anal or intercourse; protected or unprotected) by partner type (main or casual) on each day of the preceding 30 days. We created a dichotomous variable of whether or not the participant had engaged in unprotected anal sex acts in the past 30 days with a casual male partner.
Data analysis
Descriptive statistics were obtained for all variables included in the analyses, including the distribution of scale scores, with appropriate tests for normality. We then examined associations between study variables and anticipated stigma scores. Next, bivariate analyses were conducted by fitting a series of logistic regression models to assess differences in HIV testing behaviors. Finally, we fit a hierarchical stepwise logistic regression to assess whether anticipated HIV stigma was associated with HIV testing behaviors over and above demographic characteristics, actual risk behavior, and risk perception. Mediation of the associations between anticipated stigma and HIV testing behaviors by risk perception was assessed by examining whether previously significant anticipated stigma and HIV testing behavior associations became nonsignificant when risk perception was included in the model.41 For ease of interpretability, both anticipated HIV stigma and perceived risk scores were standardized, so that parameters are expressed in terms of standard deviation change.42
Results
Demographics
Table 1 outlines the characteristics of the sample and descriptive statistics of study variables. The vast majority of the sample (97%) were MSM. The sample ranged in age from 18 to 66 (mean=33.0, SD=10.5), with slightly >50% being ≥30 years of age. The majority of the sample identified as gay (68.9%). More than two thirds of the sample were racial/ethnic minorities (32.1% Black, 25.9% Latino, and 7.5% Other). Less than half of the sample (42.3%) had earned a college degree, and just half (50.2%) earned more >$20,000 annually. A little less than half (45.9%) of the sample reported being in a romantic relationship. Almost two thirds of participants (61.6%) reported at least one act of unprotected anal sex with a casual male partner in the previous 30 days. A little more than two-thirds of participants (67.9%) reported having had an HIV test in the previous 6 months.
Table 1.
Characteristics of Study Sample (n=305) and By Anticipated Stigma Scores
| |
Total sample |
Anticipated stigma scores |
|||
|---|---|---|---|---|---|
| n | % | M | SD | Test statistic | |
| Gender | n.s. | ||||
| Male | 295 | 96.7 | 2.57 | 0.61 | |
| Female/transwoman | 10 | 3.3 | 2.49 | 0.67 | |
| Age | t(303)=4.82*** | ||||
| <30 years | 143 | 46.9 | 2.74 | 0.61 | |
| ≥30 years | 162 | 53.1 | 2.42 | 0.57 | |
| Race | F(3)=3.51* | ||||
| Black | 98 | 31.1 | 2.42b | 0.62 | |
| Latino | 79 | 25.9 | 2.57ab | 0.61 | |
| White | 105 | 34.4 | 2.67a | 0.59 | |
| Other | 23 | 7.5 | 2.71a | 0.52 | |
| Education | t(303)=−3.10** | ||||
| Less than Bachelor's degree | 176 | 57.7 | 2.48 | 0.64 | |
| Bachelor's degree or more | 129 | 42.3 | 2.69 | 0.55 | |
| Income | n.s. | ||||
| <$20,000 per year | 152 | 49.8 | 2.58 | 0.63 | |
| ≥$20,000 per year | 153 | 50.2 | 2.55 | 0.59 | |
| Sexual identity | n.s. | ||||
| Gay | 210 | 68.9 | 2.58 | 0.62 | |
| Bisexual | 69 | 22.6 | 2.49 | 0.58 | |
| Heterosexual | 17 | 5.6 | 2.79 | 0.59 | |
| Queer/other | 9 | 2.9 | 2.46 | 0.47 | |
| Relationship status | n.s. | ||||
| Single | 165 | 54.1 | 2.59 | 0.63 | |
| In a relationship | 140 | 45.9 | 2.54 | 0.59 | |
| Sexual risk | n.s. | ||||
| No UAI with casual partner | 117 | 38.4 | 2.57 | 0.59 | |
| ≥1 UAI acts with casual partner | 188 | 61.6 | 2.57 | 0.62 | |
| HIV test in previous 6 months | t(303)=−3.99** | ||||
| Yes | 207 | 67.9 | 2.47 | 0.61 | |
| No | 98 | 32.1 | 2.77 | 0.56 | |
| M | SD | r | |||
|---|---|---|---|---|---|
| Risk perception | 32.08 | 25.42 | – | – | −0.14* |
| Anticipated stigma | 2.57 | 0.61 | – | – | – |
p<0.05, **p<0.01, ***p<0.001.
UAI, unprotected anal intercourse.
Associations between study variables and anticipated stigma scores are also presented in Table 1. Anticipated HIV stigma scores were lower among older participants, Black participants, and those with less education. Anticipated HIV stigma was not associated with our measure of sexual risk behavior, but was significantly negatively associated with risk perception. Individuals who had not been tested in the previous 6 months reported significantly higher anticipated stigma scores than did those who had had a recent HIV test.
Bivariate logistic regression models predicting HIV testing behavior are presented in Table 2. Risk perception was positively associated with the odds of having tested for HIV in the previous 6 months (p<0.05). As noted in previously described bivariate comparisons, anticipated HIV stigma was associated with a >60% decrease in the odds of HIV testing in the previous 6 months (p<0.001). No other variables were associated with HIV testing behavior.
Table 2.
Bivariate Logistic Regression Models Predicting HIV Testing in the Previous 6 Months
| OR | 95% CI | |
|---|---|---|
| Younger age | 1.35 | 0.83, 2.19 |
| Black | 1.06 | 0.65, 1.75 |
| Latino | 1.31 | 0.75, 2.31 |
| White | 0.76 | 0.47, 1.23 |
| Less than Bachelors' degree | 1.59 | 0.98, 2.58 |
| Income<$20,000 per year | 1.05 | 0.65, 1.70 |
| Gay identity | 0.96 | 0.57, 1.62 |
| In a relationship | 0.77 | 0.48, 1.25 |
| Sexual risk behavior | 1.59 | 0.98, 2.60 |
| Risk perception | 1.35* | 1.05, 1.73 |
| Anticipated stigma | 0.60** | 0.46, 0.78 |
p<0.05, **p<0.001.
The next step was to examine whether anticipated stigma was significantly associated with HIV testing behavior, adjusting for sociodemographic and behavioral factors associated with either variable in bivariate analyses. Results of hierarchical logistic regression models are presented in Table 3. In step 1, we entered age, education, Black race, and risk perception. In step 2 we added anticipated stigma, which resulted in a significant improvement in model fit (log-likelihood χ2[1]=18.41, p<0.001). In the final model, younger age (AOR=2.10, 95% CI: 1.22, 3.62, p<0.01) was associated within an increased odds of having had an HIV test in the previous 6 months. Higher levels of risk perception were also associated with an increased odds of having had an HIV test in the previous 6 months (AOR=1.33, 95%CI: 1.02, 1.73, p<0.05). In contrast, every standard deviation increase in anticipated HIV stigma was associated with a 54% decrease in the odds of having had an HIV test in the previous 6 months (AOR=0.54, 95% CI: 0.40, 0.73, p<0.001). No other variables were associated with HIV testing behaviors and no evidence of mediation by risk perception was found.
Table 3.
Hierarchal Logistic Regression Predicting HIV Testing in the Previous 6 Months (n=305)
| |
Step 1 |
Step 2 |
||
|---|---|---|---|---|
| aOR | 95% CI | aOR | 95% CI | |
| Younger age | 1.47 | 0.89, 2.42 | 2.10** | 1.22, 3.62 |
| Less than Bachelors' degree | 1.49 | 0.88, 2.53 | 1.36 | 0.79, 2.34 |
| Black | 0.87 | 0.51, 1.50 | 0.73 | 0.41, 1.28 |
| Risk perception | 1.34* | 1.04, 1.74 | 1.33* | 1.02, 1.73 |
| Anticipated stigma | – | – | 0.54** | 0.40, 0.73 |
| Log likelihood, χ2(4)=10.23* | Log likelihood, χ2(1)=18.41** | |||
p<0.001, *p<0.05.
Discussion
The effectiveness of TaSP will depend upon identifying key factors associated with HIV testing behaviors, especially among populations who are disproportionately affected. Despite the CDC's recommendations that sexually active MSM receive HIV testing every 3–6 months, findings from this study and others suggest that many MSM and transgender women are not meeting these guidelines.
These data highlight the importance of addressing anticipated HIV stigma as a unique barrier to HIV testing among MSM and transgender women in the US. More than 30 years after the first case reports, HIV stigma is still rampant and widespread. To date, much of the research has focused on the ways in which stigma by HIV-uninfected people impact HIV-infected people. For people living with HIV (PLWH), HIV-related stigma has been demonstrated to result in affective consequences (i.e., negative self-image, feelings of guilt or shame, depression),43 social consequences (social isolation, reluctance to disclose status),44,45 healthcare consequences (decreased access to and engagement in care)46,47 and behavioral consequences (increased risk behavior and poor medication adherence).48–50 Our findings suggest that HIV stigma may have insidious consequences for uninfected individuals as well. In this study, higher scores on an anticipated stigma scale were associated with decreased likelihood of HIV testing according to CDC guidelines (i.e., in the previous 6 months). As was hypothesized, this association was independent of other factors that may affect testing, such as risk perception.
Consistent with findings from previous stigma research, there was a negative correlation between anticipated stigma and risk perception; individuals who believe they would experience greater stigma were they to become positive also perceive themselves to be at lower risk for contracting HIV. This association is consistent with past research on individuals' distancing themselves from stigmatized conditions, thereby underestimating their risk. However, in contrast with past research, the association between anticipated stigma and testing behavior was not mediated through risk perception. Although there was a slight negative correlation between anticipated stigma and risk perception at the bivariate level, the multivariate model indicated that each variable was independently associated with HIV testing. Not surprisingly, participants who perceived themselves to be at higher risk for HIV were more likely to have tested in the previous 6 months. But as anticipated stigma scores increased, participants' likelihood of testing decreased. This finding suggests that anticipated stigma may be an important barrier to testing behavior.
Gay and bisexual men, MSM, and transgender women may avoid testing because they are aware of the social and psychological costs associated with a positive result. This awareness may result from knowing, identifying, or having a close relationship with someone who is HIV positive, witnessing the effects of societal stigma on individuals living with HIV,51 or endorsing stereotypes and prejudice about people living with HIV.34 Many studies have documented associations between stigma, discrimination, delays in seeking care when testing HIV positive, and poor HIV treatment adherence.52–54 One of potential reasons that people may not take an HIV test result is fear. This fear is not surprising, as there are real social consequences of acquiring HIV, such as rejection by, and isolation and discrimination from significant others and providers.37,55 Fear-based public health campaigns have produced mixed results, whereby some individuals may internalize stigmatizing messages and engage in avoidance coping strategies to alleviate those feelings. Our study did not assess individuals' stereotypes and prejudice about persons living with HIV. As such, future research is warranted to examine how their attitudes and emotions about people living with HIV are associated with the anticipation of HIV stigma, coping strategies, and, consequently, HIV testing behaviors.
The only significant demographic factor to emerge within our sample was that younger age was associated with a twofold increase in the odds of having had an HIV test in the previous 6 months. These findings are encouraging, as they suggest that young MSM may be receiving health promotion messages and engaging in preventative behaviors. It is critical to continue to promote testing practices among young MSM, as the number of new infections among MSM ages 13–24 increased 22% from 2008 to 2010.56 However, it is important to note that the largest number of new infections among white and Latino MSM in this time period occurred among men ages 25–34, and the number of individuals ≥50 years of age living with HIV is steadily increasing. It is imperative to develop and promote messages that encourage HIV testing among MSM and transgender women across the lifespan.
Several limitations must be noted when interpreting our findings. This study relies on self-report data, which may be subject to social desirability. Our study was cross-sectional in nature; therefore, casual claims cannot be drawn from these data. Although our sample was diverse in terms of race/ethnicity, age, and socioeconomic status, the limited number of transgender women in our sample limits our findings for this group. Therefore, future research is warranted with and for transgender women to understand HIV stigma to guide implementation efforts in these communities. Additionally, participants were not asked questions about HIV-related stereotypes or stigma based on gender expression, sexual identity, and/or race/ethnicity.57 As such, there is no way to make inferences between anticipated HIV stigma and multiple forms of stigma. Finally, the participants in this study resided in New York City where there are many lesbian, gay, bisexual, and transgender (LGBT) sexual health services, which restrict our ability to generalize these results to other MSM and transgender women in different regions.
Despite these limitations, our findings underscore the importance of directly addressing HIV stigma in the development of strategies for new prevention programs. The effectiveness of TaSP will not be possible without attending to social inequities and stigma. Past social media campaigns have been effective at raising AIDS awareness and reducing HIV stigma.58 Anti-stigma campaigns have the potential to create positive environments that foster policies to protect human rights of people living with HIV.48 Taken together, these findings suggest that focused anti-HIV stigma campaigns targeting HIV-negative individuals may also have the potential to significantly impact social norms around HIV testing and other biomedical strategies, such as pre-exposure prophylaxis, at a critical moment for the redefinition of HIV prevention.
Acknowledgments
This project was funded by grant R01MH095565 from the National Institute of Mental Health (S.A. Golub, PI). We gratefully acknowledge the hard work of Anthony Surace, Kailip Boonrai, Inna Saboshchuk, and Dr. Corina Lelutiu-Weinberger. We also thank Dr. Jeffrey Parsons and the staff at the Center for HIV Educational Studies and Training. We are grateful to the participants who gave their time and energy to this study and to Dr. Willo Pequegnat for her support.
Author Disclosure Statement
No competing financial interests exist.
References
- 1.UNAIDS. Geneva: UNAIDS; 2010. UNAIDS Report on the Global AIDS Epidemic. [Google Scholar]
- 2.Centers for Disease Control and Prevention. HIV among gay, bisexual and other men who have sex with men (MSM) 2010.
- 3.Mayer K. Gazzard B. Zuniga JM, et al. Controlling the HIV epidemic with antiretrovirals IAPAC Consensus Statement on Treatment as Prevention and Preexposure Prophylaxis. J Int Assoc Provid AIDS Care. 2013;12:208–216. doi: 10.1177/2325957413475839. [DOI] [PubMed] [Google Scholar]
- 4.Cohen MS. Chen YQ. McCauley M, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365:493–505. doi: 10.1056/NEJMoa1105243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Donnell D. Baeten JM. Kiarie J, et al. Heterosexual HIV-1 transmission after initiation of antiretroviral therapy: A prospective cohort analysis. Lancet. 2010;375:2092–2098. doi: 10.1016/S0140-6736(10)60705-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Del Romero J. Castilla J. Hernando V. Rodriguez C. Garcia S. Combined antiretroviral treatment and heterosexual transmission of HIV-1: Cross sectional and prospective cohort study. Br Med J. 2010;340:c2205. doi: 10.1136/bmj.c2205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Musicco M. Lazzarin A. Nicolosi A, et al. Antiretroviral treatment of men infected with human immunodeficiency virus type 1 reduces the incidence of heterosexual transmission. Italian Study Group on HIV Heterosexual Transmission. Arch Intern Med. 1994;154:1971–1976. [PubMed] [Google Scholar]
- 8.Castilla J. Del Romero J. Hernando V. Marincovich B. Garcia S. Rodriguez C. Effectiveness of highly active antiretroviral therapy in reducing heterosexual transmission of HIV. J Acquir Immune Defic Syndr. 2005;40:96–101. doi: 10.1097/01.qai.0000157389.78374.45. [DOI] [PubMed] [Google Scholar]
- 9.Gardner EM. McLees MP. Steiner JF. Del Rio C. Burman WJ. The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis. 2011;52:793–800. doi: 10.1093/cid/ciq243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Centers for Disease Control and Prevention. HIV surveillance–United States, 1981–2008. MMWR Morb Mortal Wkly Rep. 2011;60:689–693. [PubMed] [Google Scholar]
- 11.Centers for Disease Control and Prevention. Prevalence and awareness of HIV infection among men who have sex with men ––– 21 cities, United States, 2008. MMWR Morb Mortal Wkly Rep. 2010;59:1201–1207. [PubMed] [Google Scholar]
- 12.Margolis AD. Joseph H. Belcher L. Hirshfield S. Chiasson MA. ‘Never testing for HIV’ among men who have sex with men recruited from a sexual networking website, United States. AIDS Behav. 2012;16:23–29. doi: 10.1007/s10461-011-9883-4. [DOI] [PubMed] [Google Scholar]
- 13.National HIV/AIDS Strategy for the United States. 2010. http://www.whitehouse.gov/sites/ http://www.whitehouse.gov/sites/
- 14.Branson BM. Handsfield HH. Lampe MA. Janssen RS. Taylor AW. Lyss SB. Clark JE Centers for Disease Control and Prevention. Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings. MMWR Recomm Rep. 2006;55:1–17. [PubMed] [Google Scholar]
- 15.Lo Y. Turabelidze G. Lin M. Friedberg Y. Prevalence and determinants of recent HIV testing among sexually active men who have sex with men in the St. Louis Metropolitan Area, Missouri, 2008. Sex Transm Dis. 2012;39:306–311. doi: 10.1097/OLQ.0b013e31824018d4. [DOI] [PubMed] [Google Scholar]
- 16.Campsmith ML. Goldbaum GM. Brackbill RM. Tollestrup K. Wood RW. Weybright JE. HIV testing among men who have sex with men–Results of a telephone survey. Prev Med. 1999;26:839–844. doi: 10.1006/pmed.1997.0223. [DOI] [PubMed] [Google Scholar]
- 17.Stall R. Barrett D. Bye L, et al. A comparison of younger and older gay men's HIV risk-taking behaviors: The Communication Technologies 1989 Cross-Sectional Survey. J Acquir Immune Defic Syndr. 1992;5:682–687. [PubMed] [Google Scholar]
- 18.MacKellar DA. Valleroy LA. Anderson JE, et al. Recent HIV testing among young men who have sex with men: Correlates, contexts, and HIV seroconversion. SexTransm Dis. 2006;33:183–189. doi: 10.1097/01.olq.0000204507.21902.b3. [DOI] [PubMed] [Google Scholar]
- 19.Do TD. Hudes ES. Proctor K. Han CS. Choi KH. HIV testing trends and correlates among young Asian and Pacific Islander men who have sex with men in two U.S. cities. AIDS Educ Prev. 2006;18:44–55. doi: 10.1521/aeap.2006.18.1.44. [DOI] [PubMed] [Google Scholar]
- 20.Anderson JE. Carey JW. Taveras S. HIV testing among the general US population and persons at increased risk: Information from national surveys, 1987–1996. Am J Public Health. 2000;90:1089–1095. doi: 10.2105/ajph.90.7.1089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Mimiaga MJ. Landers SJ. Conran KJ. Prevalence and correlates of lifetime HIV testing in a population-based sample of men who have sex with men in Massachusetts. AIDS Patient Care STDs. 2011;25:323–326. doi: 10.1089/apc.2011.0078. [DOI] [PubMed] [Google Scholar]
- 22.Mimiaga MJ. Goldhammer H. Belanoff C. Tetu AM. Mayer KH. Men who have sex with men: Perceptions about sexual risk, HIV and sexually transmitted disease testing, and provider communication. Sex Transm Dis. 2007;34:113–119. doi: 10.1097/01.olq.0000225327.13214.bf. [DOI] [PubMed] [Google Scholar]
- 23.Mashburn AJ. Peterson JL. Bakeman R. Miller RL. Clark LF. The Community Intervention Trial for Youth (CITY) Study Team. Influences on HIV testing among young African-American men who have sex with men and the moderating effect of the geographic setting. J Community Psychol. 2004;32:45–60. [Google Scholar]
- 24.Phillips G. Magnus M. Kuo I, et al. Correlates of frequency of HIV testing among men who have sex with men in Washington, DC. AIDS Care. 2013 doi: 10.1080/09540121.2013.774314. Epub ahead of print. [DOI] [PubMed] [Google Scholar]
- 25.Mahajan AP. Sayles JN. Patel VA, et al. Stigma in the HIV/AIDS epidemic: a review of the literature and recommendations for the way forward. AIDS. 2008;22(Supp 2):67–79. doi: 10.1097/01.aids.0000327438.13291.62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Young SD. Nussbaum AD. Monin B. Potential moral stigma and reactions to sexually transmitted diseases: evidence for a disjunction fallacy. Pers Soc Psychol Bull. 2007;33:789–799. doi: 10.1177/0146167207301027. [DOI] [PubMed] [Google Scholar]
- 27.Weinstock H. Dale M. Linley L. Gwinn M. Unrecognized HIV infection among patients attending sexually transmitted disease clinics. Am J Public Health. 2002;92:280–283. doi: 10.2105/ajph.92.2.280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Golub SA. Operario D. Gorbach PM. Pre-exposure prophylaxis state of the science: empirical analogies for research and implementation. Curr HIV/AIDS Rep. 2010;7:201–209. doi: 10.1007/s11904-010-0057-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Genberg BL. Hlavka Z. Konda KA, et al. A comparison of HIV/AIDS-related stigma in four countries: Negative attitudes and perceived acts of discrimination towards people living with HIV/AIDS. Soc Sci Med. 2009;68:2279–2287. doi: 10.1016/j.socscimed.2009.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Young SD. Hlavka Z. Modiba P, et al. HIV-related stigma, social norms, and HIV testing in Soweto and Vulindlela, South Africa: National Institutes of Mental Health Project Accept (HPTN 043) J Acquir Immune Defic Syndr. 2010;55:620–624. doi: 10.1097/QAI.0b013e3181fc6429. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Hamra M. Ross MW. Orrs M. D'Agostino A. Relationship between expressed HIV/AIDS-related stigma and HIV-beliefs/knowledge and behaviour in families of HIV infected children in Kenya. Trop Med Int Health. 2006;11:513–527. doi: 10.1111/j.1365-3156.2006.01583.x. [DOI] [PubMed] [Google Scholar]
- 32.Pitpitan EV. Kalichman SC. Eaton LA, et al. AIDS-related stigma, HIV testing, and transmission risk among patrons of informal drinking places in Cape Town, South Africa. Ann Behav Med. 2012;43:362–371. doi: 10.1007/s12160-012-9346-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Li X. Lu H. Ma X, et al. HIV/AIDS-related stigmatizing and discriminatory attitudes and recent HIV testing among men who have sex with men in Beijing. AIDS Behav. 2012;16:499–507. doi: 10.1007/s10461-012-0161-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Earnshaw VA. Smith LR. Chaudoir SR. Lee IC. Copenhaver MM. Stereotypes about people living with HIV: Implications for perceptions of HIV risk and testing frequency among at-risk populations. AIDS Educ Prev. 2012;24:574–581. doi: 10.1521/aeap.2012.24.6.574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Herek GM. Mitnick L. Burris S. Chesney M, et al. Workshop report: AIDS and stigma: A conceptual framework and research agenda. AIDS Public Policy J. 1998;13:36–47. [PubMed] [Google Scholar]
- 36.Kaplan AH. Scheyett A. Golin CE. HIV and stigma: Analysis and research program. Curr HIV/AIDS Rep. 2005;2:184–188. doi: 10.1007/s11904-005-0014-6. [DOI] [PubMed] [Google Scholar]
- 37.Rutledge SE. Whyte J. Abell N. Brown KM. Cesnales NI. Measuring stigma among health care and social service providers: The HIV/AIDS provider stigma inventory. AIDS Patient Care STD. 2011;25:673–681. doi: 10.1089/apc.2011.0008. [DOI] [PubMed] [Google Scholar]
- 38.Starks TJ. Rendina HJ. Breslow AS. Parsons JT. Golub SA. The psychological cost of anticipating HIV stigma for HIV-negative gay and bisexual men. AIDS Behav. 2013;17:2732–2741. doi: 10.1007/s10461-013-0425-0. [DOI] [PubMed] [Google Scholar]
- 39.Sobell MB. Sobell LC. New York: Guilford Press; 1993. Problem Drinkers: Guided Self-Change Treatment. [Google Scholar]
- 40.Carey MP. Carey KB. Maisto SA. Gordon CM. Weinhardt LS. Assessing sexual risk behaviour with the Timeline Followback (TLFB) approach: Continued development and psychometric evaluation with psychiatric outpatients. Int J STDs AIDS. 2001;12:365–375. doi: 10.1258/0956462011923309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Baron RM. Kenny DA. The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51:1173–1182. doi: 10.1037//0022-3514.51.6.1173. [DOI] [PubMed] [Google Scholar]
- 42.Kleinbaum DG. Kupper LL. Nizam A. Muller KE. Belmont, CA: Thomson Higher Education; 2008. Applied Regression Analysis and Other Multivariate Methods. [Google Scholar]
- 43.Parker R. Aggleton P. HIV and AIDS-related stigma and discrimination: a conceptual framework and implications for action. Soc Sci Med. 2003;57:13–24. doi: 10.1016/s0277-9536(02)00304-0. [DOI] [PubMed] [Google Scholar]
- 44.Nachega JB. Lehman DA. Hlatshwayo D. Mothopeng R. Chaisson RE. Karstaedt AS. HIV/AIDS and antiretroviral treatment knowledge, attitudes, beliefs, and practices in HIV-infected adults in Soweto, South Africa. J Acquir Immune Defic Syndr. 2005;38:196–201. doi: 10.1097/00126334-200502010-00011. [DOI] [PubMed] [Google Scholar]
- 45.Wolfe WR. Weiser SD. Bangsberg DR, et al. Effects of HIV-related stigma among an early sample of patients receiving antiretroviral therapy in Botswana. AIDS Care. 2006;18:931–933. doi: 10.1080/09540120500333558. [DOI] [PubMed] [Google Scholar]
- 46.Kinsler JJ. Wong MD. Sayles JN. Davis C. Cunningham WE. The effect of perceived stigma from a health care provider on access to care among a low-income HIV-positive population. AIDS Patient Care STDs. 2007;21:584–592. doi: 10.1089/apc.2006.0202. [DOI] [PubMed] [Google Scholar]
- 47.Logie C. Gadalla TM. Meta-analysis of health and demographic correlates of stigma towards people living with HIV. AIDS Care. 2009;21:742–753. doi: 10.1080/09540120802511877. [DOI] [PubMed] [Google Scholar]
- 48.Mahajan AP. Sayles JN. Patel VA, et al. Stigma in the HIV/AIDS epidemic: A review of the literature and recommendations for the way forward. AIDS (London, England) 2008;22(Suppl 2):S67. doi: 10.1097/01.aids.0000327438.13291.62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Sayles JN. Wong MD. Martins D. Cunningham WE. The association of stigma with self-reported access to medical care and antiretroviral therapy adherence in persons living with HIV/AIDS. J Gen Int Med. 2009;24:1101–1108. doi: 10.1007/s11606-009-1068-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Simbayi LC. Kalichman S. Strebel A. Cloete A. Henda N. Mqeketo A. Internalized stigma, discrimination, and depression among men and women living with HIV/AIDS in Cape Town, South Africa. Soc Sci Med. 2007;64:1823–1831. doi: 10.1016/j.socscimed.2007.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Dowshen N. Binns HJ. Garofalo R. Experiences of HIV-related stigma among young men who have sex with men. AIDS Patient Care STDs. 2009;23:371–376. doi: 10.1089/apc.2008.0256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Basta TB. Shacham E. Reece M. Symptoms of psychological distress: A comparison of rural and urban individuals enrolled in HIV-related mental health care. AIDS Patient Care STDs. 2009;23:1053–1057. doi: 10.1089/apc.2009.0193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Peretti–Watel P. Spire B. Pierret J. Lert F. Obadia Y The VESPA Group. Management of HIV-related stigma and adherence to HAART: Evidence from a large representative sample of outpatients attending French hospitals (ANRS-EN12-VESPA 2003) AIDS Care. 2006;18:254–261. doi: 10.1080/09540120500456193. [DOI] [PubMed] [Google Scholar]
- 54.Peretti–Watel P. Spire B. Obadia Y. Moatti JP. Discrimination against HIV-infected people and the spread of HIV: Some evidence from France. PLoS One. 2007;2:e411. doi: 10.1371/journal.pone.0000411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Hutchinson AB. Corbie–Smith G. Thomas SB. Mohanan S. del Rio C. Understanding the patient's perspective on rapid and routine HIV testing in an inner-city urgent care center. AIDS Educ Prev. 2004;16:101–114. doi: 10.1521/aeap.16.2.101.29394. [DOI] [PubMed] [Google Scholar]
- 56.Centers for Disease Control and Prevention. Estimated HIV incidence among adults and adolescents in the United States, 2007–2010. HIV Surveill Suppl Rep. 2012;17(4) [Google Scholar]
- 57.Hightow–Weidman LB. Phillips G. Jones KC, et al. Racial and sexual identity-related maltreatment among YMSM: Prevalance, perceptions, and the association with emotional distress. AIDS Patient Care STDs. 2011;24(Supp 1):S39–S45. doi: 10.1089/apc.2011.9877. [DOI] [PubMed] [Google Scholar]
- 58.Blankenship K. Bray S. Merson M. Structural interventions in public health. AIDS. 2000;14:S11–S21. doi: 10.1097/00002030-200006001-00003. [DOI] [PubMed] [Google Scholar]
