Preexposure prophylaxis (PrEP) with emtricitabine/tenofovir disoproxil fumarate (FTC/TDF) reduced HIV acquisition in the iPrEx trial among men who have sex with men and transgender women. Self-reported sexual risk behavior decreased overall, but may be affected by reporting bias. We evaluated potential risk compensation using biomarkers of sexual risk behavior.
Design and methods
Sexual practices were assessed at baseline and quarterly thereafter; perceived treatment assignment and PrEP efficacy beliefs were assessed at 12 weeks. Among participants with ≥1 follow-up behavioral assessment, sexual behavior, syphilis, and HIV infection were compared by perceived treatment assignment, actual treatment assignment, and perceived PrEP efficacy.
Overall, acute HIV infection and syphilis decreased during follow-up. Compared with participants believing they were receiving placebo, participants believing they were receiving FTC/TDF reported more receptive anal intercourse partners prior to initiating drug (12.8 vs. 7.7, P = 0.04). Belief in receiving FTC/TDF was not associated with an increase in receptive anal intercourse with no condom (ncRAI) from baseline through follow-up (risk ratio [RR] 0.9, 95% confidence interval [CI]: 0.6–1.4; P = 0.75), nor with a decrease after stopping study drug (RR 0.8, 95% CI: 0.5–1.3; P = 0.46). In the placebo arm, there were trends toward lower HIV incidence among participants believing they were receiving FTC/TDF (incidence rate ratio [IRR] 0.8, 95% CI: 0.4–1.8; P = 0.26) and also believing it was highly effective (IRR 0.5, 95% CI: 0.1–1.7; P = 0.12).
There was no evidence of sexual risk compensation in iPrEx. Participants believing they were receiving FTC/TDF had more partners prior to initiating drug, suggesting that risk behavior was not a consequence of PrEP use.
Citation: Marcus JL, Glidden DV, Mayer KH, Liu AY, Buchbinder SP, Amico KR, et al. (2013) No Evidence of Sexual Risk Compensation in the iPrEx Trial of Daily Oral HIV Preexposure Prophylaxis. PLoS ONE 8(12): e81997. doi:10.1371/journal.pone.0081997
Editor: Rob Stephenson, Rollins School of Public Health, United States of America
Received: June 5, 2013; Accepted: October 17, 2013; Published: December 18, 2013
Copyright: © 2013 Marcus et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This study was supported by the Division of Acquired Immunodeficiency Syndrome, National Institute of Allergy and Infectious Diseases, National Institutes of Health, as a cooperative agreement (UO1 AI64002, to Dr. Grant), by the Bill and Melinda Gates Foundation, and by the Gladstone Institutes. No individuals employed or contracted by the funders (other than the named authors) played any role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: Co-author Kenneth Mayer has received an unrestricted research grant from Gilead Sciences. Co-author Esper Kallas is a PLOS ONE Editorial Board member. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials. For the remaining authors, no conflicts of interest were declared.
Despite decades of prevention efforts, human immunodeficiency virus (HIV) infection is a global pandemic, with 2.5 million people newly infected in 2011  and men who have sex with men (MSM) disproportionately affected worldwide. ,  As behavioral interventions have not been sufficient to end the epidemic, research has also included biomedical interventions.  In the primary analysis of the iPrEx randomized controlled trial (RCT), preexposure prophylaxis (PrEP) with once-daily oral emtricitabine/tenofovir disoproxil fumarate (FTC/TDF) reduced the risk of HIV acquisition by 44% among HIV-uninfected MSM and transgender women compared with placebo, and by 92% among participants with detectable drug levels; a subsequent modeling study estimated a 96–99% risk reduction among those with drug concentrations commensurate with daily dosing. ,  Although two interventions in African women – the oral and topical tenofovir arms of the VOICE study and the FEM-PrEP  trial of FTC/TDF – were closed early for futility, and the FTC/TDF arm of the VOICE study later showed no effect,  the Partners PrEP study in heterosexual serodiscordant couples  and the CDC PrEP trial in heterosexual men and women  found oral FTC/TDF to be highly effective.
Like other prevention strategies – including circumcision, condom use, and HIV testing – excitement about PrEP has been tempered by concerns about potential increases in sexual risk behavior among users, ,  an effect defined as “risk compensation.”  According to risk compensation theory, individuals adjust their behavior in response to changes in their perceived level of risk. ,  This theory has been used as an explanation for why population-level benefits of seatbelt use have not been observed,  sunscreen use has been associated with an increased risk of melanoma,  and condom promotion has had a limited population-level impact on HIV in communities with generalized epidemics.  Risk compensation has also been linked to increases in sexual risk behavior coinciding with the introduction of combination antiretroviral therapy, an effect called “treatment optimism.”  Similarly, PrEP optimism could result in increased risk behavior that could potentially reduce its protection against HIV acquisition. , .
Empirically, previous studies of biomedical HIV-prevention interventions have found mixed evidence of risk compensation. One small HIV vaccine trial reported an overall increase in insertive anal intercourse with no condom, but no change in receptive anal intercourse, the strongest risk factor for HIV acquisition.  A trial of male circumcision found a higher number of sexual partners and contacts in the circumcised group compared with the control group,  although risk behavior in both groups was lower during the study than at baseline. There was no difference in risk behaviors between study arms in another two trials of male circumcision, ,  with one of those studies finding no evidence of risk compensation during three years of post-trial follow-up.  There was no increase in risk behaviors in an HIV vaccine efficacy trial,  and overall decreases in risk behavior in two longitudinal studies of post-exposure prophylaxis (PEP). ,  Likewise, there has been no suggestion of risk compensation among PrEP trial participants to date; in fact, decreases in risk behavior have been observed. , , , , ,  However, only two PrEP trials explored changes in sexual risk behavior in subgroups of participants, ,  and none specifically assessed risk compensation using biomarkers of sexual risk behavior.
Although an overall decrease in sexual risk behavior was observed among participants in iPrEx,  self-reported behavior can be biased by social desirability. Furthermore, behavior in the trial context may differ from behavior during subsequent implementation, when there is no longer the possibility that the user is receiving a placebo. To address these concerns, we conducted an analysis using biomarkers of sexual risk behavior and focusing on the group of participants who believed they were receiving the active drug and that it was effective. We aimed to describe trends in sexual behavior during study follow-up and after stopping study drug; to describe trends in the acquisition of HIV and syphilis; and to determine whether participants who believed they were receiving FTC/TDF and that it was highly effective had increased sexual risk behavior or increased risk of HIV or syphilis acquisition compared with participants who believed they were receiving placebo.
The iPrEx study was approved by the Committee on Human Research at the University of California, San Francisco, as well as local institutional review boards at each study site: Comité Institucional de Bioética, Asociación Civil Impacta Salud y Educación, Lima, Peru; Universidad San Francisco de Quito, IRB #1, Quito, Ecuador; Fenway Community Health Institutional Review Board, Boston, MA; Comissão de Ética para Análise de Projetos de Pesquisa, CAPPesq Hospital das Clínicas da Faculdade de Medicina da USP, São Paulo, Brazil; Comitê de Ética em Pesquisa, Hospital Universitario Clementino Fraga Filho/Universidade Federal de Rio de Janeiro, Rio de Janeiro, Brazil; Comitê de Ética em Pesquisa do Instituto de Pesquisa Clínica Evandro Chagas, Rio de Janeiro, Brazil; National IRB: Comissão Nacional de Ética em Pesquisa – CONEP, Ministério da Saúde, Brasília, Brazil; University of Cape Town Research Ethics Committee, Cape Town, South Africa; Human Experimentation Committee, Research Institute for Health Sciences, Chiang Mai, Thailand; Ethical Review Committee for Research in Human Subjects, Department of Medical Services, Ministry of Public Health, Nonthaburi, Thailand; Research Ethics Committee, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. Written informed consent was obtained from each participant prior to enrollment in the study.
A detailed description of the iPrEx study has been previously published.  Briefly, the study enrolled 2,499 MSM and transgender women at risk for HIV infection at 11 sites in Peru, Ecuador, South Africa, Brazil, Thailand, and the United States during 2007–2009. At the enrollment visit, participants were randomized to receive FTC/TDF or placebo and were instructed to take one tablet daily. Monthly visits included risk-reduction and adherence counseling. Serological testing for syphilis was performed at screening and every six months during follow-up. Symptoms of depression were measured semiannually beginning in July of 2009, defined as a score of ≥16 on the Centers for Epidemiologic Studies Depression Scale (CESD); data from the first assessment were included in the current analysis. The primary analysis included visits through the pre-specified cutoff date of May 1, 2010, whereas the current analysis includes follow-up visits through November 21, 2010. Study results were not released until December, 2010.
Sexual practices during the previous three months were assessed by interviewer-administered questionnaires at screening and at quarterly visits subsequent to the enrollment visit, which occurred within 28 days of screening. We initially assessed trends in the number of receptive anal intercourse (RAI) partners and the proportion of those partners with whom a condom was consistently used. For the remainder of the analysis, we focused on any RAI with no condom (ncRAI), a dichotomized variable that is a composite of the first two outcomes and the behavior most strongly associated with HIV acquisition in iPrEx.  For the current analysis, baseline sexual practices refer to behavior reported at the screening visit, while sexual practices during follow-up refer to behavior reported at any visits subsequent to enrollment.
Perceived Treatment Assignment and PrEP Efficacy Beliefs
At quarterly visits, participants were asked to which treatment group they believed they had been assigned. Response options were “I don’t know” or “I strongly [or somewhat] think I am in the Truvada [or placebo] group.” The “strongly” and “somewhat” categories were collapsed for analysis. Unless otherwise specified, we used data on perceived treatment group collected at the first quarterly visit after enrollment (12-week visit). Perceived treatment group was evenly distributed by actual treatment group at the 12-week visit.  At the same visit, participants were asked about how good they thought FTC/TDF was at preventing HIV infection on a scale from 1 (doesn’t prevent) to 10 (prevents all the time). This variable was collapsed into high (6–10), low (1–5), and “don’t know.”
To assess trends in sexual behavior, we calculated the mean number of RAI partners and the proportion of those partners using a condom, using Poisson regression to estimate change over time and t-tests to compare means by perceived treatment group. We assessed the relationship between beliefs in treatment assignment and PrEP efficacy, in addition to other participant characteristics, and changes in reported ncRAI. We assessed such changes in sexual behavior in two separate analyses: from baseline to any time during follow-up, and from the visit at which study drug was discontinued (stop visit) to the visit eight weeks later (post-stop visit). For the latter analysis, perceived treatment group was extracted from data collected at the stop visit or the closest prior measurement. We used mixed log-binomial models to estimate risk ratios (RR), with a random effect for study site to account for unmeasured differences across sites. Participants were excluded if they did not have at least one quarterly assessment during which data on sexual behavior were collected.
To measure trends in sexual behavior using objective indices, we used retrospectively tested plasma specimens to calculate the baseline prevalence of acute HIV infection as an estimate of HIV incidence in the short period prior to enrollment; we then compared baseline prevalence to the prevalence of acute HIV infection during follow-up in each arm of the study. Acute infection was defined as plasma HIV RNA positive and HIV-antibody negative at baseline, and as the first HIV RNA positive while HIV-antibody negative during follow-up. We also calculated syphilis incidence in each treatment arm and by perceived treatment group among participants without seroreactivity for syphilis at baseline, with incidence calculated for each one-year time period and using chi-square tests for trend. Finally, we used Poisson regression to estimate the association between HIV incidence and beliefs in treatment assignment and PrEP efficacy among participants in the placebo arm.
All analyses were conducted in Stata 12 and SAS 9.2.
Of the 2,499 participants enrolled in iPrEx, 2,408 (96.4%) completed at least one follow-up quarterly assessment and were included in analyses of trends in sexual behavior. All participants were born male, and 313 (13.0%) identified as women or transgender. At enrollment, the mean age was 25 years (range 18–67). Loss to follow-up was less frequent among participants reporting ncRAI at baseline (hazard ratio [HR] 0.8, 95% confidence interval [CI]: 0.7–1.0; P = 0.02) and among participants reporting diagnosis of a sexually transmitted infection (STI) in the six months prior to screening or having an STI symptom at screening (HR 0.8, 95% CI: 0.6–1.0; P = 0.06).
Trends in HIV and Syphilis by Actual Treatment Group
At baseline, the prevalence of acute HIV infection was 0.4% overall (10/2,499). During follow-up, acute infection decreased 3.8-fold (95% CI: 1.5–9.5; P = 0.004) to 0.1% among participants in the placebo arm and 6.5-fold (95% CI: 2.2–20.2; P = 0.002) to 0.06% in the active arm. Syphilis incidence also declined in both treatment arms during follow-up (P<0.001; Table 1).
Perceived Treatment Group and PrEP Efficacy Beliefs
At the 12-week visit, 553 participants (25.1%) believed they were in the FTC/TDF group, 223 (10.1%) believed they were in the placebo group, and 1,429 (64.8%) reported that they did not know their treatment assignment (Table 2). At the stop visit, the number of participants reporting that they did not know their treatment assignment increased to 1,631 (71.7%), with 471 participants (20.7%) believing they were in the FTC/TDF group and 174 (7.6%) believing they were in the placebo group; 71.5% of participants reported consistent perceptions of their treatment assignment across the visits. The proportion of participants believing PrEP was highly effective increased from 23.5% at the 12-week visit to 26.8% at the stop visit (P<0.001).
Change in Sexual Behavior from Baseline through Follow-up
The mean number of RAI partners decreased (P<0.001), and the proportion of those partners using a condom increased (P<0.001), from baseline through follow-up in both participants who believed they were receiving FTC/TDF and those who believed they were receiving placebo (Figure 1a–b). Participants who believed they were receiving FTC/TDF had a higher mean number of RAI partners in the three months prior to baseline compared to those who believed they were receiving placebo (12.8 vs. 7.7; P = 0.04). There were no significant differences in the proportion of partners using a condom by perceived treatment group. Overall, 1,108 participants (46.0%) reported ncRAI both at baseline and at least once during follow-up, 731 (30.4%) reported no ncRAI at baseline nor during follow-up, 331 (13.7%) reported ncRAI at baseline but not during follow-up, and 238 (9.9%) reported ncRAI at least once during follow-up but not at baseline. Of the 1,439 participants (57.6%) who reported ncRAI at baseline, 331 (23.0%) did not report ncRAI again during follow-up. Among those reporting ncRAI at baseline, those who had never previously tested for HIV were more likely to have a decrease in ncRAI during follow-up (RR 1.4, 95% CI: 1.1–1.7; P<0.01; Table 3). A decrease in ncRAI was less likely among participants who identified as women or transgender (RR 0.8, 95% CI: 0.6–1.0; P = 0.04), were less than 25 years of age (RR 0.8, 95% CI: 0.7–1.0; P = 0.04), or reported symptoms of depression (RR 0.7, 95% CI: 0.6–1.0; P = 0.03).
Figure 1a shows the mean number of receptive anal intercourse (RAI) partners in the past 3 months by perceived treatment group at 12 weeks. Figure 1b shows the percent of those partners using a condom by perceived treatment group at 12 weeks. Asterisks indicate P<0.05 by t-test.
Of the 969 (38.8%) participants who did not report ncRAI at baseline, 238 (24.6%) reported ncRAI at least once during follow-up. Among participants who did not report ncRAI at baseline, an increase in ncRAI during follow-up was associated with identifying as a woman or transgender (RR 1.7, 95% CI: 1.2–2.5; P = 0.002), being less than 25 years of age (RR 1.3, 95% CI: 1.0–1.6; P = 0.03), or reporting symptoms of depression (RR 1.6, 95% CI: 1.2–2.1; P = 0.002). An increase in ncRAI during follow-up was less likely among those who had not previously tested for HIV (RR 0.7, 95% CI: 0.5–0.9; P = 0.01). Among participants reporting no ncRAI at baseline, participants who believed they were receiving FTC/TDF were no more likely to report ncRAI during follow-up compared with participants who believed they were receiving placebo (RR 0.9, 95% CI: 0.6–1.4; P = 0.75), with similar results among those who also believed PrEP was highly effective (RR 0.8, 95% CI: 0.3–2.1; P = 0.68).
Change in Sexual Behavior after Stopping Study Drug
Of the 1,743 participants with sexual behavior assessments both at the time of stopping drug and eight weeks later, 461 (26.4%) reported ncRAI at the stop visit and 393 (22.5%) reported ncRAI at the post-stop visit, representing a decrease of 3.9% (95% CI: 2.0–5.8) in reported ncRAI after stopping study drug (P<0.001 by paired t-test). Of the 461 participants who reported ncRAI at the stop visit, 182 (39.5%) reported no ncRAI at the post-stop visit. Participants who believed they were receiving FTC/TDF were no more likely to decrease ncRAI after stopping study drug compared with participants who believed they were receiving placebo (RR 0.8, 95% CI: 0.5–1.3; P = 0.46), with similar results among participants who also believed PrEP was highly effective (RR 0.8, 95% CI: 0.3–2.2; P = 0.63).
Trends in HIV and Syphilis by Perceived Treatment Group
There was no difference in overall syphilis incidence during follow-up by perceived treatment group (P = 0.80). Among participants in the placebo arm, HIV incidence was not significantly higher among participants who believed they were receiving FTC/TDF compared with participants who believed they were receiving placebo (IRR 0.8, 95% CI: 0.4–1.8; P = 0.26). There was also no difference in HIV incidence between participants who believed FTC/TDF was highly effective compared with participants who believed FTC/TDF was less effective (IRR 1.2, 95% CI: 0.6–2.5; P = 0.26). Compared with participants who believed they were receiving placebo, those who both believed they were receiving FTC/TDF and that it was highly effective were not at increased risk of acquiring HIV during follow-up (IRR 0.5, 95% CI: 0.1–1.7: P = 0.12).
In this study of participants in a trial of daily oral FTC/TDF PrEP, we found no evidence of risk compensation, a finding that is largely consistent with other HIV-prevention studies of PrEP, , , , , ,  male circumcision, , ,  vaccines,  and PEP. ,  There was an overall trend toward safer sexual behavior, which was supported by decreases in syphilis and HIV infection. Participants who believed they were receiving FTC/TDF had higher numbers of receptive partners at baseline, prior to initiating study drug, suggesting that risk behavior was not a consequence of receiving PrEP. The small decrease in the proportion of participants reporting ncRAI after stopping study drug was consistent with the overall time trends in RAI partners and condom use, and did not differ by perceived treatment group. Our results do not support the concerns arising from risk compensation theory: that participants who believed they were receiving FTC/TDF and that it was effective would be more likely to increase their risk behavior while on study drug or decrease their risk behavior after stopping it.
Of note, the number of RAI partners was significantly higher in the three months prior to baseline among participants who later reported believing they were assigned to FTC/TDF. Cross-sectional studies have found that optimism about the benefits of combination antiretroviral therapy was associated with riskier sexual behavior,  but were not able to determine causality – i.e., whether optimism about treatment made individuals feel comfortable taking more risk, or whether individuals having riskier sex were more likely to be optimistic about therapy. Our results suggest that belief in treatment assignment may have been a consequence of sexual practices, rather than sexual practices being a consequence of receiving PrEP.  For participants who thought they were receiving FTC/TDF, that belief could have served as a psychological coping mechanism to reduce concerns about their sexual behavior, thus minimizing cognitive dissonance. .
One-quarter of participants had never been tested for HIV prior to their iPrEx screening visit and reported safer sexual behavior during study follow-up than those who had previously tested. Prior studies conducted among MSM  and adults in developing countries  have found decreases in sexual risk behavior associated with HIV testing. That effect has been more pronounced among individuals testing positive, but the benefit of testing may be increased for HIV-negative individuals who are testing periodically, as would occur in PrEP programs. The regular testing that accompanies PrEP use, as well as the act of taking PrEP itself, could increase contemplation of HIV risk as manageable rather than inevitable and motivate other risk-reduction strategies. , ,  Indeed, PrEP may increase self-efficacy regarding condom use and reduce fatalism about HIV by providing a daily opportunity for users to manage their own risk.
We identified participant characteristics that were associated with reporting ncRAI during follow-up after not reporting ncRAI at baseline, including symptoms of depression, younger age, and identifying as a woman or transgender. Our results are consistent with the high burden of HIV infection among male-to-female transgender individuals  and young MSM,  as well as prior studies that have found a correlation between depression and condomless sex.  These groups may be in particular need of attention in HIV-prevention interventions, including PrEP.
There are several limitations to our study. First, data collected during an RCT may not be generalizable to a non-experimental context; efforts to minimize optimism about the study drug and maximize condom use could have contributed to the trend toward safer sexual behavior during iPrEx. However, counseling, testing, and condom provision will accompany PrEP implementation, suggesting that a similar trend may occur among PrEP users outside of the RCT context. Furthermore, we did not see risk compensation among those whose thought they were in the active arm and that FTC/TDF was effective, a subgroup that better represents individuals using open-label PrEP. A second limitation is the use of self-reported data on sexual practices, which could have been affected by social desirability bias. However, the decreases in syphilis and HIV infection are consistent with the finding based on self-report that sexual risk behavior decreased during follow-up. Third, analyses among the group who both believed they were receiving FTC/TDF and that it was highly effective, as well as analyses of HIV incidence by perceived treatment group in the placebo arm, were limited in statistical power, resulting in wide CIs. Fourth, adherence to PrEP could have affected our analyses of HIV infection; however, this would only have impacted participants assigned to the active arm, and we also observed a decrease in HIV incidence among participants in the placebo arm. Fifth, an overall trend toward safer behavior could result from regression toward the mean. Finally, a trend toward safer behavior could also result from loss to follow-up among participants with sexual risk behavior, but participants with higher risk at baseline were more likely to be retained throughout the study.
In this study, we found no evidence of risk compensation that would offset the benefits of PrEP. Indeed, participation in the study was associated with safer sexual behavior; frequent clinic visits, HIV testing and counseling, and daily PrEP use itself may motivate and popularize safer sexual practices. Social interactions may be more important determinants of sexual decisions than individual weighing of risks and benefits, as posited by risk compensation theory, and may underlie the trends toward safety that have been observed in biomedical HIV-prevention trials.
The authors thank John C. W. Carroll of the Gladstone Institutes for creating the figures; the study participants for their dedication to HIV prevention and iPrEx; and the site investigators and their staff for following the cohort and collecting the data. Dr. Marcus is grateful for the mentorship of Arthur Reingold, M.D. and Maya Petersen, M.D., Ph.D. from the Division of Epidemiology, School of Public Health, University of California, Berkeley.
Conceived and designed the experiments: JLM DVG RMG. Analyzed the data: JLM DVG. Wrote the paper: JLM. Coordinated the study: VM. Oversaw the enrollment of participants and procurement of study samples: KHM AYL SPB VM EGK OM JHP. Contributed to the interpretation of the data: KRA KHM AYL SPB VM EGK OM JHP.
- 1. UNAIDS (2012) World AIDS Day Report. UNAIDS.
- 2. Beyrer C, Baral SD, Walker D, Wirtz AL, Johns B, et al. (2010) The expanding epidemics of HIV type 1 among men who have sex with men in low- and middle-income countries: diversity and consistency. Epidemiol Rev 32: 137–151. doi: 10.1093/epirev/mxq011
- 3. van Griensven F, de Lind van Wijngaarden JW, Baral S, Grulich A (2009) The global epidemic of HIV infection among men who have sex with men. Current Opin HIV AIDS 4: 300–307. doi: 10.1097/coh.0b013e32832c3bb3
- 4. Rotheram-Borus MJ, Swendeman D, Chovnick G (2009) The past, present, and future of HIV prevention: integrating behavioral, biomedical, and structural intervention strategies for the next generation of HIV prevention. Annu Rev Clin Psychol 5: 143–167. doi: 10.1146/annurev.clinpsy.032408.153530
- 5. Grant RM, Lama JR, Anderson PL, McMahan V, Liu AY, et al. (2010) Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med 363: 2587–2599. doi: 10.1056/nejmoa1011205
- 6. Anderson PL, Glidden DV, Liu A, Buchbinder S, Lama JR, et al. (2012) Emtricitabine-tenofovir concentrations and pre-exposure prophylaxis efficacy in men who have sex with men. Sci Transl Med 4: 151ra125. doi: 10.1126/scitranslmed.3004006
- 7. Van Damme L, Corneli A, Ahmed K, Agot K, Lombaard J, et al. (2012) Preexposure prophylaxis for HIV infection among African women. N Engl J Med 367: 411–422. doi: 10.1056/nejmoa1202614
- 8. Marrazzo J, Ramjee G, Nair G, Palanee T, Mkhize B, et al.. (2013) Pre-exposure prophylaxis for HIV in women: daily oral tenofovir, oral tenofovir/emtricitabine, or vaginal tenofovir gel int he VOICE study (MTN 003). 20th Conference on Retroviruses and Opportunistic Infections. Atlanta, GA.
- 9. Baeten JM, Donnell D, Ndase P, Mugo NR, Campbell JD, et al.. (2012) Antiretroviral prophylaxis for HIV prevention in heterosexual men and women. N Engl J Med.
- 10. Thigpen MC, Kebaabetswe PM, Paxton LA, Smith DK, Rose CE, et al. (2012) Antiretroviral preexposure prophylaxis for heterosexual HIV transmission in Botswana. N Engl J Med 367: 423–434. doi: 10.1056/nejmoa1110711
- 11. Cassell MM, Halperin DT, Shelton JD, Stanton D (2006) Risk compensation: the Achilles’ heel of innovations in HIV prevention? BMJ 332: 605–607. doi: 10.1136/bmj.332.7541.605
- 12. Eaton LA, Kalichman S (2007) Risk compensation in HIV prevention: implications for vaccines, microbicides, and other biomedical HIV prevention technologies. Curr HIV/AIDS Rep 4: 165–172. doi: 10.1007/s11904-007-0024-7
- 13. Adams J (1995) Risk. London: Routledge.
- 14. Wilde GJS (2001) Target risk: dealing with the danger of death, disease and damage in everyday decisions. Toronto, Ontario: PDE Publications.
- 15. Richens J, Imrie J, Copas A (2000) Condoms and seat belts: the parallels and the lessons. Lancet 355: 400–403. doi: 10.1016/s0140-6736(99)09109-6
- 16. Autier P, Dore JF, Cattaruzza MS, Renard F, Luther H, et al. (1998) Sunscreen use, wearing clothes, and number of nevi in 6- to 7-year-old European children. European Organization for Research and Treatment of Cancer Melanoma Cooperative Group. J Natl Cancer Inst 90: 1873–1880. doi: 10.1093/jnci/90.24.1870-a
- 17. Crepaz N, Hart TA, Marks G (2004) Highly active antiretroviral therapy and sexual risk behavior: a meta-analytic review. JAMA 292: 224–236. doi: 10.1001/jama.292.2.224
- 18. Vissers DC, Voeten HA, Nagelkerke NJ, Habbema JD, de Vlas SJ (2008) The impact of pre-exposure prophylaxis (PrEP) on HIV epidemics in Africa and India: a simulation study. PLoS One 3: e2077. doi: 10.1371/journal.pone.0002077
- 19. Desai K, Sansom SL, Ackers ML, Stewart SR, Hall HI, et al. (2008) Modeling the impact of HIV chemoprophylaxis strategies among men who have sex with men in the United States: HIV infections prevented and cost-effectiveness. AIDS 22: 1829–1839. doi: 10.1097/qad.0b013e32830e00f5
- 20. Chesney MA, Chambers DB, Kahn JO (1997) Risk behavior for HIV infection in participants in preventive HIV vaccine trials: a cautionary note. J Acquir Immune Defic Syndr Hum Retrovirol 16: 266–271. doi: 10.1097/00042560-199712010-00007
- 21. Auvert B, Taljaard D, Lagarde E, Sobngwi-Tambekou J, Sitta R, et al. (2005) Randomized, controlled intervention trial of male circumcision for reduction of HIV infection risk: the ANRS 1265 Trial. PLoS Med 2: e298. doi: 10.1371/journal.pmed.0020298
- 22. Gray RH, Kigozi G, Serwadda D, Makumbi F, Watya S, et al. (2007) Male circumcision for HIV prevention in men in Rakai, Uganda: a randomised trial. Lancet 369: 657–666. doi: 10.1016/s0140-6736(07)60313-4
- 23. Mattson CL, Campbell RT, Bailey RC, Agot K, Ndinya-Achola JO, et al. (2008) Risk compensation is not associated with male circumcision in Kisumu, Kenya: a multi-faceted assessment of men enrolled in a randomized controlled trial. PLoS One 3: e2443. doi: 10.1371/journal.pone.0002443
- 24. Kong X, Kigozi G, Nalugoda F, Musoke R, Kagaayi J, et al. (2012) Assessment of changes in risk behaviors during 3 years of posttrial follow-up of male circumcision trial participants uncircumcised at trial closure in Rakai, Uganda. Am J Epidemiol 176: 875–885. doi: 10.1093/aje/kws179
- 25. Bartholow BN, Buchbinder S, Celum C, Goli V, Koblin B, et al. (2005) HIV sexual risk behavior over 36 months of follow-up in the world’s first HIV vaccine efficacy trial. J Acquir Immune Defic Syndr 39: 90–101. doi: 10.1097/01.qai.0000143600.41363.78
- 26. Martin JN, Roland ME, Neilands TB, Krone MR, Bamberger JD, et al. (2004) Use of postexposure prophylaxis against HIV infection following sexual exposure does not lead to increases in high-risk behavior. AIDS 18: 787–792. doi: 10.1097/00002030-200403260-00010
- 27. Schechter M, do Lago RF, Mendelsohn AB, Moreira RI, Moulton LH, et al. (2004) Behavioral impact, acceptability, and HIV incidence among homosexual men with access to postexposure chemoprophylaxis for HIV. J Acquir Immune Defic Syndr 35: 519–525. doi: 10.1097/00126334-200404150-00010
- 28. Peterson L, Taylor D, Roddy R, Belai G, Phillips P, et al. (2007) Tenofovir disoproxil fumarate for prevention of HIV infection in women: a phase 2, double-blind, randomized, placebo-controlled trial. PLoS Clin Trials 2: e27. doi: 10.1371/journal.pctr.0020027
- 29. Liu AY, Vittinghoff E, Chillag K, Mayer K, Thompson M, et al.. (2013) Sexual risk behavior among HIV-uninfected men who have sex with men (MSM) participating in a tenofovir pre-exposure prophylaxis (PrEP) randomized trial in the United States. J Acquir Immune Defic Syndr.
- 30. Guest G, Shattuck D, Johnson L, Akumatey B, Clarke EE, et al. (2008) Changes in sexual risk behavior among participants in a PrEP HIV prevention trial. Sex Transm Dis 35: 1002–1008.
- 31. Huebner DM, Gerend MA (2001) The relation between beliefs about drug treatments for HIV and sexual risk behavior in gay and bisexual men. Ann Behav Med 23: 304–312. doi: 10.1207/s15324796abm2304_10
- 32. Festinger L (1957) A theory of cognitive dissonance. Evanston, Ill.: Row Peterson.
- 33. Higgins DL, Galavotti C, O′Reilly KR, Schnell DJ, Moore M, et al. (1991) Evidence for the effects of HIV antibody counseling and testing on risk behaviors. JAMA 266: 2419–2429. doi: 10.1001/jama.266.17.2419
- 34. Denison JA, O′Reilly KR, Schmid GP, Kennedy CE, Sweat MD (2008) HIV voluntary counseling and testing and behavioral risk reduction in developing countries: a meta-analysis, 1990–2005. AIDS Behav 12: 363–373. doi: 10.1007/s10461-007-9349-x
- 35. Bish A, Michie S (2010) Demographic and attitudinal determinants of protective behaviours during a pandemic: a review. Br J Health Psychol 15: 797–824. doi: 10.1348/135910710x485826
- 36. Kasparian NA, McLoone JK, Meiser B (2009) Skin cancer-related prevention and screening behaviors: a review of the literature. J Behav Med 32: 406–428. doi: 10.1007/s10865-009-9219-2
- 37. Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, et al. (2007) Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol 26: 136–145. doi: 10.1037/0278-622.214.171.124
- 38. Herbst JH, Jacobs ED, Finlayson TJ, McKleroy VS, Neumann MS, et al. (2008) Estimating HIV prevalence and risk behaviors of transgender persons in the United States: a systematic review. AIDS Behav 12: 1–17. doi: 10.1007/s10461-007-9299-3
- 39. Mustanski BS, Newcomb ME, Du Bois SN, Garcia SC, Grov C (2011) HIV in young men who have sex with men: a review of epidemiology, risk and protective factors, and interventions. J Sex Res 48: 218–253. doi: 10.1080/00224499.2011.558645
- 40. Sarkar NN (2008) Barriers to condom use. Eur J Contracept Reprod Health Care 13: 114–122. doi: 10.1080/13625180802011302