Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Feb 1.
Published in final edited form as: AIDS Care. 2015 Sep 7;28(2):228–233. doi: 10.1080/09540121.2015.1080792

Sexual communication self-efficacy, hegemonic masculine norms and condom use among heterosexual couples in South Africa

Anna Leddy 1, Deepalika Chakravarty 2,3, Sibongile Dladla 4,a, Guy de Bruyn b, Lynae Darbes 2
PMCID: PMC4896738  NIHMSID: NIHMS781041  PMID: 26344386

Abstract

Hegemonic masculine norms (HMN), which promote sexual risk-taking among males and the subordination of women, are believed to play a key role in the HIV epidemic among heterosexual couples in South Africa (SA). Sexual communication self-efficacy (SCSE) (i.e. a couple’s confidence in their ability to communicate about HIV prevention) may be a key leverage point for increasing HIV prevention behaviors among this population. We interviewed 163 sexually active heterosexual couples in Soweto, SA to investigate the association between SCSE, HMN and consistent condom use. We collected information on demographics, relationship dynamics and sexual activity. We utilized the SCSE scale to measure couples’ SCSE, and a subscale of the Gender Equitable Men scale to measure HMN among males. We performed bivariate and multivariable analyses to determine the association of consistent condom use with couples’ SCSE as well as the male partner’s endorsement of HMN. We found that couples with higher SCSE have greater odds of consistent condom use (aOR=1.30, 95% CI: 1.15–1.47). Furthermore, male endorsement of HMN was found to be negatively associated with consistent condom use among couples (aOR=0.47, 95% CI: 0.24–0.89). Joint HIV serostatus was not significantly associated with the outcome. Future interventions that equip heterosexual couples with sexual communication skills, while simultaneously promoting more gender equitable norms, may increase consistent condom use and thereby reduce the transmission of HIV among this at-risk population.

Keywords: sexual communication, couples, gender norms, South Africa, HIV prevention

INTRODUCTION

Heterosexual couples in primary relationships are disproportionately affected by HIV in sub-Saharan Africa (SSA) (Dunkle et al., 2008; WHO., 2011). Couple sexual communication self-efficacy (SCSE), defined as a couple’s confidence in their ability to communicate about sexual risk reduction, has the potential to be a key leverage point for HIV prevention interventions for this high risk group (Matseke, Peltzer, Mchunu, & Louw, 2012; Vamos et al., 2013). Past research in this area has typically focused on the impact of condom negotiation self-efficacy on consistent condom use at the individual level (Onoya et al., 2011; Sayles et al., 2006). However, the Dyadic Framework for HIV prevention posits that adopting HIV prevention methods, such as consistent condom use requires the successful coordination and cooperation between both partners (Karney et al., 2010). Thus, high SCSE for both partners, instead of a single partner, may have a greater impact on uptake of HIV prevention behaviors.

Hegemonic masculine norms (HMN), which value male “toughness,” virility, and dominance over women, are believed to play a key role in the heterosexual HIV epidemic in South Africa (SA) (Connell & Messerschmidt, 2005; Higgins, Hoffman, & Dworkin, 2010; Jewkes & Morrell, 2010; Richardson et al., 2014). South African men who subscribe to these norms are more likely to engage in HIV risk behaviors (MacPhail et al., 2009; Mantell et al., 2011; Stephenson, Bartel, & Rubardt, 2012). These norms also promote male control over reproductive and sexual health decisions, including condom use, childbearing, and the timing and terms of sex (Blanc, 2001; Ghanotakis, Peacock, & Wilcher, 2012). Individuals in relationships characterized by these norms are less likely to use condoms consistently (Durevall & Lindskog, 2014; Pettifor, Measham, Rees, & Padian, 2004; Shai, Jewkes, Nduna, & Dunkle, 2012).

We examined the relationship between couple-level SCSE and consistent condom use, adjusting for the male partner’s endorsement of HMN.

METHODS

Recruitment and Eligibility

Data are from a cross sectional study conducted in Soweto, SA in 2008 among heterosexual couples recruited from ten community locations and from one clinic (the Tswarisanang Couples Testing Clinic affiliated with the Perinatal HIV Research Unit (PHRU) at Chris Hani Baragwanath Hospital) using a non-probability, venue-based sampling strategy. A combination of active (i.e. recruiter-based outreach) and passive (i.e. flyers) recruitment strategies were used. Depending on the couples’ availability, partners were screened separately either in person or via telephone.

To be eligible, both partners in a couple had to be 18 years or older and in the relationship for at least three months. Informed consent and survey responses were obtained individually. The study protocol and informed consent were approved by the Committee on Human Research Ethics at the University of California, San Francisco, and the University of Witwatersrand in Johannesburg, SA.

Measures

We collected data on sexual history, relationship length and status, and HIV testing history. Couples’ serostatus and its awareness was measured using a composite variable of self-reported HIV-serostatus and self-reported knowledge of partners’ serostatus (Unknown and/or unaware: at least one partner has not tested or does not know partner’s serostatus; Serodiscordant, aware: partners are serodiscordant, and aware of it; Concordant, aware: partners are seroconcordant negative/positive, and aware of it).

We administered the 8-item Sexual Communication Self-efficacy Scale (Cronbach alpha= 0.74 for men and for women) (Rosenthal, Moor, & Flynn, 1991). Responses ranged from ‘Strongly disagree (1)’ to ‘Strongly agree (4)’. Items were summed and partners’ scores were averaged to obtain the couple’s mean score. Higher scores indicate greater SCSE.

The 19-item subscale from the Gender Equitable Men scale (Cronbach alpha= 0.75) measured endorsement of HMN among male participants (Pulerwitz & Barker, 2008). Response options were dichotomous (‘Agree (1)’ and ‘Disagree (0)’), and responses were summed to obtain the total score. The continuous scale was dichotomized into ‘low endorsement of HMN’ (0) and ‘moderate to high endorsement of HMN’ (1).

In line with prior studies, the outcome measure was consistent condom use, defined as 100% condom use with the primary partner in the past 30 days (El-Bassel, Witte, Gilbert, & et al., 2003; El-Bassel et al., 2010; Genberg et al., 2008). The proportion of protected sex acts in the last 30 days was calculated for each partner and both partners’ responses were averaged for the couple’s mean proportion of protected sex.

Data Analysis

The survey responses were recorded on paper questionnaire forms, then entered into an MS-Access database by study staff, verified for accuracy, and transferred to STATA 12 for analyses (StataCorp, 2011).

Frequencies and measures of central tendency were calculated. Bivariate logistic regression and multivariable logistic regression analyses determined the association between the independent variables and consistent condom use. The multivariable model controlled for participation in Couples HIV Testing and Counseling (CHTC) and relationship length, which have been shown to be associated with condom use in SSA. (Hendriksen, Pettifor, Lee, Coates, & Rees, 2007; Moyo, Levandowski, MacPhail, Rees, & Pettifor, 2008; Rosenberg et al., 2013) The multivariable analysis controlled for clustering on recruitment locations.

RESULTS

Descriptive Statistics

Of the 208 couples (N=416 individuals) recruited, 45 couples (22%) were excluded because they either had not had sex in the past 30 days (n=6) or were actively trying to conceive (n=39), for a final sample of 163 couples (N= 326 individuals). Nearly half the men (49.7%) had moderate to high endorsement of gender inequitable norms (Table I). Over a third of the couples (37%) reported consistent condom use in the past 30 days. More than half (55.8%) of the couples had no knowledge of their joint serostatus. Couple-level SCSE scores ranged from 9–32 (median=25) (Table II).

Table I.

Individual-level Demographic Characteristics by Gender (N= 163 couples)

Characteristic Men Women
n (%) n (%)
Age (years) mean (SD) 34.5 10 31 8.9
Highest level of education
  None 0 0 2 1.2
  Primary 23 14 13 8
  Secondary 128 78.5 134 83
  Post Secondary 12 7.4 14 8.7
No. of lifetime sexual partners mean (SD) 17 20.8 4.6 4.2
At least one concurrent partner 19 11.7 1 0.61
Ever tested for HIV 122 75 147 91
HIV-positivea 40 35.4 58 41.1
Unaware of partner’s HIV status 44 27 55 33.7
Male endorsement of Hegemonic Masculine Norms
  Low endorsement 82 50.3 --
  Moderate to high endorsement 81 49.7 --
a

Percentages are calculated out of the total number who disclosed HIV test results to the interviewer (n=113 men, n= 141 women).

Table II.

Couple Demographics (N= 163 couples)

Couple Characteristic n (%)
Relationship status
  Married 25 15
  Unmarried but in a committed relationship 138 85
Live together 76 47
Relationship Length (years) mean(SD) 5.5 6.1
HIV testing historya
  Neither partner has ever tested 11 7
  Only one partner has ever tested 32 20
  Both partners have tested 118 73
Participated in CHTC 23 14
Couple sexual communication self-efficacy mean (SD) 24.9 3.7
Couple serostatus, joint awarenessb
  Unknown and/or unaware 91 55.8
  Serodiscordant, aware 17 10.4
  Concordant, aware 55 33.7
Consistent (100%) condom use in the past 30 days 61 37
a

Percentages are calculated out of the total number of couples who disclosed whether or not each partner individually tested for HIV (n=161 couples)

Bivariate analyses

Bivariate analyses demonstrate that couples where the male partner has moderate to high endorsement of HMN have decreased odds of consistent condom use (OR=0.46, 95% CI: 0.22, 0.95), compared to couples where the male partner reports low endorsement of HMN (Table III). Couples with higher levels of SCSE (OR=1.33, 95% CI: 1.20, 1.46), and who participated in CHTC (OR=3.08, 95% CI: 1.99, 4.76) have increased odds of consistent condom use. Couple knowledge of joint serostatus and relationship length were not significantly associated with condom use.

Table III.

Results of Logistic Regression Analyses with consistent condom use for the past 30 days as the outcome

Independent Variables Bivariate Multivariablea
OR (95% CI) p-value AOR (95% CI) p-value
Couple’s sexual communication
self-efficacy
1.33 (1.20, 1.46) <0.001 1.30 (1.15, 1.47) <0.001
Medium to high endorsement of
hegemonic masculine norms by the
male partner
(reference category: Low
endorsement)
0.46 (0.22, 0.95) 0.03 0.47 (0.24, 0.89) 0.02
Participated in CHTC 3.08 (1.99, 4.76) <0.001 2.94 (1.28, 6.73) 0.01
Couple serostatus joint awareness
(reference category: Unknown
and/or unaware)
Serodiscordant, aware 0.91(0.35, 2.35) 0.85 -- --
Concordant, aware 1.03(0.42, 2.57) 0.94 -- --
Relationship length 0.98 (0.91,1.06) 0.63 0.98 (0.92, 1.05) 0.71
a

Hosmer-Lemeshow Goodness of fit p=0.82

Multivariable analysis

The multivariable analysis revealed that SCSE (aOR=1.30, 95% CI: 1.15, 1.47), and previous participation in CHTC (aOR=2.94, 95% CI: 1.28, 6.73) are associated with increased odds of consistent condom use. Moderate to high endorsement of HMN is associated with decreased odds of consistent condom use (aOR= 0.47, 95% CI: 0.24, 0.89).

DISCUSSION

Our findings indicate that male endorsement of HMN and couple SCSE are associated with consistent condom use among heterosexual couples. While studies have examined the influence of HMN and sexual communication on HIV risk behavior (Matseke et al., 2012; Pettifor et al., 2004; Sayles et al., 2006; Shai et al., 2012), few have examined these issues among heterosexual couples (Burton, Darbes, & Operario, 2010; El-Bassel et al., 2010), and none have explored these relationships among couples of varied serostatus compositions. Furthermore, no study has assessed the combined effect of couple SCSE and male endorsement of HMN on consistent condom use among heterosexual couples.

The results of this study support prior reports of South African couples engaging in sexual risk behaviors (Dunkle et al., 2008; Mantell et al., 2011; Venkatesh et al., 2011; Venkatesh et al., 2012). Couples in our study had high numbers of lifetime sexual partners, concurrent partners, and high rates of HIV (Dunkle et al., 2008; Mantell et al., 2011; Venkatesh et al., 2011; Venkatesh et al., 2012). Yet, 55.8% of the couples were unaware of their joint HIV-serostatus, and only 37% of the couples reported consistent condom use.

Interestingly, our findings suggest that couple knowledge of joint serostatus does not significantly influence consistent condom use. It is possible that other factors such as intimacy and trust may have more influence over condom use than serostatus in the context of primary relationships. Indeed, evidence suggests that couples in primary relationships in SA believe that condoms symbolize distrust and infidelity, and interfere with intimacy.(Mindry et al., 2011; Parker, Pettifor, Maman, Sibeko, & MacPhail, 2014)

Our results also build upon existing research by demonstrating that HMN are negatively associated with consistent condom use among a heterogeneous sample of couples (Durevall & Lindskog, 2014; Jewkes & Morrell, 2010; Pulerwitz & Barker, 2008; Shattuck et al., 2013). These findings indicate the need for HIV prevention interventions that target heterosexual couples, and promote gender equality.

Gender-transformative interventions re-define gender roles and norms to be more equitable and are a promising strategy to shift gender norms and increase HIV prevention behaviors (Dworkin, Treves-Kagan, & Lippman, 2013; Jewkes et al., 2008; Kalichman et al., 2009). However, there are few rigorous studies that assess the efficacy of these interventions, and they have faced a backlash (Dworkin, Colvin, Hatcher, & Peacock, 2012; Dworkin et al., 2013). Considering these limitations and challenges, researchers must explore alternate strategies that promote HIV prevention behaviors among couples. Our results support couple SCSE as one approach. Couple SCSE can be achieved through couple-based HIV prevention interventions that facilitate communication between partners (El-Bassel & Wechsberg, 2012; El-Bassel et al., 2010; Medley et al., 2013). This approach is both effective in reducing sexual risk behavior, and acceptable among couples (Burton et al., 2010; Naju, Watt, Ostermann, Manongi, & Sikkema, 2012). Thus, it is essential that more couples-based prevention interventions be developed for heterosexual couples in contexts such as SA.

There are several strengths of our study. In contrast to previous studies, our sample was community-based and heterogeneous in terms of HIV testing histories and serostatus compositions, thereby making our results applicable to a wider range of couples. Limitations of our study include the use of a non-probability sample, which may limit the generalizability of our findings. However, by being community-based, our sample is comparatively more inclusive than the majority of the existing literature on this population (Becker, Mlay, Schwandt, & Lyamuya, 2010; Jones et al., 2013). Second, participant’s HIV serostatus was self-reported. However, sexual behaviors are informed by one’s perceptions of their own and their partner’s HIV status, thus lack of confirmatory testing does not diminish the strength of our findings.

CONCLUSION

Our study demonstrates the influence that both SCSE and HMN have on consistent condom use among heterosexual couples in an urban setting in SA. Future interventions should focus on promoting gender equitable norms while simultaneously equipping couples with the tools necessary to improve SCSE and foster partners’ ability to cooperate to achieve improved sexual and reproductive health outcomes together.

Acknowledgments

Funding:

This work was supported by the NIMH under Grant NIH K08 MH 072380.

References

  1. Becker S, Mlay R, Schwandt HM, Lyamuya E. Comparing couples' and individual voluntary counseling and testing for HIV at antenatal clinics in tanzania: A randomized trial. AIDS and Behavior. 2010;14(3):558–566. doi: 10.1007/s10461-009-9607-1. 10.1007/s10461-009-9607-1. [DOI] [PubMed] [Google Scholar]
  2. Blanc AK. The effect of power in sexual relationships on sexual and reproductive health: An examination of the evidence. Stud Fam Plann. 2001;32(3):189–213. doi: 10.1111/j.1728-4465.2001.00189.x. [DOI] [PubMed] [Google Scholar]
  3. Burton J, Darbes LA, Operario D. Couples-focused behavioral interventions for prevention of HIV: Systematic review of the state of evidence. AIDS and Behavior. 2010;14(1):1–10. doi: 10.1007/s10461-008-9471-4. 10.1007/s10461-008-9471-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Connell RW, Messerschmidt JW. Hegemonic masculinity - rethinking the concept. Gender and Society. 2005;19(6):829–859. [Google Scholar]
  5. Dunkle KL, Stephenson R, Karita E, Chomba E, Kayitenkore K, Vwalika C, Allen S. New heterosexually transmitted HIV infections in married or cohabiting couples in urban zambia and rwanda: An analysis of survey and clinical data. Lancet. 2008;371:2183–2191. doi: 10.1016/S0140-6736(08)60953-8. [DOI] [PubMed] [Google Scholar]
  6. Durevall D, Lindskog A. Intimate partner violence and HIV in ten sub-saharan african countries: What do the demographic and health surveys tell us? Lancet Global Health, published online. 2014 doi: 10.1016/S2214-109X(14)70343-2. [DOI] [PubMed] [Google Scholar]
  7. Dworkin SL, Colvin C, Hatcher A, Peacock D. Men’s perceptions of women’s rights and changing gender relations in south africa: Lessons for working with men and boys in HIV and antiviolence programs. Gender and Society. 2012;26(1):97–120. [Google Scholar]
  8. Dworkin SL, Treves-Kagan S, Lippman SA. Gender-transformative interventions to reduce HIV risks and violence with heterosexually-active men: A review of the global evidence. AIDS and Behavior. 2013;17(9):2845–2863. doi: 10.1007/s10461-013-0565-2. [doi] [DOI] [PubMed] [Google Scholar]
  9. El-Bassel N, Wechsberg W. Couple-based behavioral HIV interventions: Placing HIV risk-reduction responsibility and agency on the female and male dyad. Couple and Family Psychology: Research and Practice. 2012;1(2):94–105. [Google Scholar]
  10. El-Bassel N, Witte S, Gilbert L, et al. The efficacy of a relationship-based HIV/STD prevention program for heterosexual couples. Am J Public Health. 2003;93(6):963–969. doi: 10.2105/ajph.93.6.963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. El-Bassel N, Gilbert L, Witte S, Wu E, Hunt T, Remien RH. Couple-based HIV prevention in the united states: Advantages, gaps, and future directions. Journal of Acquired Immune Deficiency Syndromes (1999) 2010;55(Suppl 2):S98–S101. doi: 10.1097/QAI.0b013e3181fbf407. 10.1097/QAI.0b013e3181fbf407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Genberg BL, Kulich M, Kawichai S, Modiba P, Chingono A, Kilonzo GP NIMH Project Accept Study Team (HPTN 043) HIV risk behaviors in sub-saharan africa and northern thailand: Baseline behavioral data from project accept. Journal of Acquired Immune Deficiency Syndromes (1999) 2008;49(3):309–319. doi: 10.1097/QAI.0b013e3181893ed0. 10.1097/QAI.0b013e3181893ed0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Ghanotakis E, Peacock D, Wilcher R. The importance of addressing gender inequality in efforts to end vertical transmission of HIV. Journal of the International AIDS Society. 2012;15(Suppl 2):17385. doi: 10.7448/IAS.15.4.17385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Hendriksen ES, Pettifor A, Lee SJ, Coates TJ, Rees HV. Predictors of condom use among young adults in south africa: The reproductive health and HIV research unit national youth survey. American Journal of Public Health. 2007;97(7):1241–1248. doi: 10.2105/AJPH.2006.086009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Higgins JA, Hoffman S, Dworkin SL. Rethinking gender, heterosexual men, and women's vulnerability to HIV/AIDS. American Journal of Public Health. 2010;100(3):435–445. doi: 10.2105/AJPH.2009.159723. 10.2105/AJPH.2009.159723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Jewkes R, Morrell R. Gender and sexuality: Emerging perspectives from the heterosexual epidemic in south africa and implications for HIV risk and prevention. Journal of the International AIDS Society. 2010;13 doi: 10.1186/1758-2652-13-6. 6-2652-13-6. 10.1186/1758-2652-13-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Jewkes R, Nduna M, Levin J, Jama N, Dunkle K, Puren A, Duvvury N. Impact of stepping stones on incidence of HIV and HSV-2 and sexual behaviour in rural south africa: Cluster randomised controlled trial. BMJ (Clinical Research Ed) 2008;337:a506. doi: 10.1136/bmj.a506. [doi] [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Jones DL, Peltzer K, Villar-Loubet O, Shikwane E, Cook R, Vamos S, Weiss SM. Reducing the risk of HIV infection during pregnancy among south african women: A randomized controlled trial. AIDS Care. 2013;25(6):702–709. doi: 10.1080/09540121.2013.772280. 10.1080/09540121.2013.772280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Kalichman SC, Simbayi LC, Cloete A, Clayford M, Arnolds W, Mxoli M, Kalichman MO. Integrated gender-based violence and HIV risk reduction intervention for south african men: Results of a quasi-experimental field trial. Prevention Science. 2009;10(3):260–269. doi: 10.1007/s11121-009-0129-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Karney BR, Hops H, Redding CA, Reis HT, Rothman AJ, Simpson JA. A framework for incorporating dyads in models of HIV-prevention. AIDS and Behavior. 2010;14(Suppl 2):189–203. doi: 10.1007/s10461-010-9802-0. 10.1007/s10461-010-9802-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. MacPhail C, Terris-Prestholt F, Kumaranayake L, Ngoako P, Watts C, Rees H. Managing men: Women's dilemmas about overt and covert use of barrier methods for HIV prevention. Culture, Health & Sexuality. 2009;11(5):485–497. doi: 10.1080/13691050902803537. [doi] [DOI] [PubMed] [Google Scholar]
  22. Mantell JE, Smit JA, Beksinska M, Scorgie F, Milford C, Balch E, Stein ZA. Everywhere you go, everyone is saying condom, condom. but are they being used consistently? reflections of south african male students about male and female condom use. Health Education Research. 2011;26(5):859–871. doi: 10.1093/her/cyr041. 10.1093/her/cyr041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Matseke G, Peltzer K, Mchunu G, Louw J. Correlates of condom use among male and female aged 18–24 years in south africa. Gender & Behavior. 2012;10(2):4627–4644. [Google Scholar]
  24. Medley A, Baggaley R, Bachanas P, Cohen M, Shaffer N, Lo YR. Maximizing the impact of HIV prevention efforts: Interventions for couples. AIDS Care. 2013;25(12):1569–1580. doi: 10.1080/09540121.2013.793269. 10.1080/09540121.2013.793269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Mindry D, Maman S, Chirowodza A, Muravha T, van Rooyen H, Coates T. Looking to the future: South african men and women negotiating HIV risk and relationship intimacy. Culture, Health & Sexuality. 2011;13(5):589–602. doi: 10.1080/13691058.2011.560965. 10.1080/13691058.2011.560965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Moyo W, Levandowski BA, MacPhail C, Rees H, Pettifor A. Consistent condom use in south african youth's most recent sexual relationships. AIDS and Behavior. 2008;12(3):431–440. doi: 10.1007/s10461-007-9343-3. 10.1007/s10461-007-9343-3. [DOI] [PubMed] [Google Scholar]
  27. Naju B, Watt MH, Ostermann J, Manongi R, Sikkema KJ. Percieved acceptability of home-based couples voluntary HIV counseling and testing in northern tanzania. AIDS Care. 2012;24(4):413–419. doi: 10.1080/09540121.2011.608796. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Onoya D, Reddy PS, Ruiter RA, Sifunda S, Wingood G, van den Borne B. Psychosocial correlates of condom use consistency among isixhosa-speaking women living with HIV in the western cape province of south africa. Journal of Health Psychology. 2011;16(8):1208–1220. doi: 10.1177/1359105311402862. [doi] [DOI] [PubMed] [Google Scholar]
  29. Parker L, Pettifor A, Maman S, Sibeko J, MacPhail C. Concerns about partner infidelity are a barrier to adoption of HIV-prevention strategies among young south african couples. Culture, Health & Sexuality. 2014;16(7):792–805. doi: 10.1080/13691058.2014.905707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Pettifor AE, Measham DM, Rees HV, Padian NS. Sexual power and HIV risk, south africa. Emerging Infectious Diseases. 2004;10(11):1996–2004. doi: 10.3201/eid1011.040252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Pulerwitz J, Barker G. Measuring attitudes toward gender norms among young men in brazil. Men and Masculinities. 2008;10(3):322–338. [Google Scholar]
  32. Richardson ET, Collins SE, Kung T, Jones JH, Hoan Tram K, Boggiano VL, Zolopa AR. Gender inequality and HIV transmission: A global analysis. Journal of the International AIDS Society. 2014;17:19035. doi: 10.7448/IAS.17.1.19035. [doi] [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Rosenberg NE, Pettifor AE, De Bruyn G, Westreich D, Delany-Moretlwe S, Behets F, Miller WC. HIV testing and counseling leads to immediate consistent condom use among south african stable HIV-discordant couples. Journal of Acquired Immune Deficiency Syndromes. 2013;62(2):226–233. doi: 10.1097/QAI.0b013e31827971ca. 10.1097/QAI.0b013e31827971ca. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Rosenthal D, Moor S, Flynn J. Adolescent self-efficacy, self-esteem and sexual risk-taking. Journal of Community & Applied Social Psychology. 1991;1:77–88. [Google Scholar]
  35. Sayles JN, Pettifor A, Wong MD, MacPhail C, Lee SJ, Hendriksen E, Coates T. Factors associated with self-efficacy for condom use and sexual negotiation among south african youth. Journal of Acquired Immune Deficiency Syndromes (1999) 2006;43(2):226–233. doi: 10.1097/01.qai.0000230527.17459.5c. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Shai NJ, Jewkes R, Nduna M, Dunkle K. Masculinities and condom use patterns among young rural south africa men: A cross-sectional baseline survey. BMC Public Health. 2012;12 doi: 10.1186/1471-2458-12-462. 462-2458-12-462. [doi] [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Shattuck D, Burke H, Ramirez C, Succop S, Costenbader B, Attafuah JD, Guest G. Using the inequitable gender norms scale and associated HIV risk behaviors among men at high risk for HIV in ghana and tanzania. Men and Masculinities. 2013;16(5):540–559. [Google Scholar]
  38. StataCorp. Stata statistical software: Release 12. 12th. College Station, TX: StataCorp LP; 2011. [Google Scholar]
  39. Stephenson R, Bartel D, Rubardt M. Constructs of power and equity and their association with contraceptive use among men and women in rural ethiopia and kenya. Global Public Health. 2012;7(6):618–634. doi: 10.1080/17441692.2012.672581. 10.1080/17441692.2012.672581. [DOI] [PubMed] [Google Scholar]
  40. Vamos S, Cook R, Chitalu N, Mumbi M, Weiss SM, Jones D. Quality of relationship and sexual risk behaviors among HIV couples in lusaka, zambia. AIDS Care. 2013;25(9):1102–1108. doi: 10.1080/09540121.2012.749339. 10.1080/09540121.2012.749339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Venkatesh KK, de Bruyn G, Lurie MN, Modisenyane T, Triche EW, Gray GE, Martinson NA. Sexual risk behaviors among HIV-infected south african men and women with their partners in a primary care program: Implications for couples-based prevention. AIDS and Behavior. 2012;16(1):139–150. doi: 10.1007/s10461-011-9941-y. 10.1007/s10461-011-9941-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Venkatesh KK, Madiba P, De Bruyn G, Lurie MN, Coates TJ, Gray GE. Who gets tested for HIV in a south african urban township? implications for test and treat and gender-based prevention interventions. Journal of Acquired Immune Deficiency Syndromes. 2011;56(2):151–165. doi: 10.1097/QAI.0b013e318202c82c. 10.1097/QAI.0b013e318202c82c. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. WHO. Global HIV/AIDS response: Epidemic update and health sector progress towards universal access. Geneva, Switzerland: WHO; 2011. [Google Scholar]

RESOURCES