Abstract
Men’s engagement in the HIV care continuum may be negatively affected by adherence to inequitable gender norms, which may be exacerbated by HIV stigma. This cross-sectional study with 300 male fisherfolk in Uganda examined the independent and interacting effects of inequitable gender norm endorsement and HIV stigma on men’s missed HIV care appointments and missed antiretroviral (ARV) doses. Greater gender inequitable norm endorsement was associated with increased odds of missed HIV clinic visits (Adjusted Odds Ratio [AOR)]: 1.44, 95% CI: 1.16–1.78) and a statistically significant interaction between internalized HIV stigma and inequitable gender norms on missed ARV doses was identified (AOR: 5.32, 95% CI: 2.60–10.86). Adherence to traditional gender norms reduces men’s HIV appointment attendance, and among men with high internalized stigma, increases the likelihood of poor treatment adherence. These findings point to the need for HIV interventions that reconfigure harmful gender norms with a focus on stigma reduction.
Keywords: HIV care engagement, antiretroviral treatment adherence, gender norms, masculinity, HIV stigma, Uganda, fisherfolk, men
Introduction
Significant gender disparities exist in the HIV care continuum throughout sub-Saharan Africa (1). While women are more likely to be HIV infected (2), men on antiretroviral treatment (ART) have a 41% increased risk of death compared to women on ART (3), which has been attributed to worse engagement across all stages of HIV care among men (1, 4–6). This pattern is reflected in Uganda, where 7.6% of women vs. 4.7% of men are living with HIV (7), but men are more than twice as likely to die of HIV-related illness (8). This gender gap may be even wider in high HIV prevalence occupation-based populations, such as fisherfolk, miners, and truck drivers. These populations are faced with unique social and structural barriers to HIV care, such as frequent mobility, distance to services and transportation challenges, conflict between work and clinic hours, heavy substance use, and HIV stigma (9–11). In addition, masculine norms, or the culturally grounded expectations for men’s roles, behaviors, and relationships, are a recognized driver of men’s HIV care engagement globally (1), and may be especially relevant to men’s health seeking behavior in communities where men cluster for work.
From a social constructionist perspective, health beliefs and behaviors are considered a display of masculinities and femininities that reinforce the broader social structure of gender and power (12, 13). Thus, inequitable gender norms prevalent in Eastern and Southern Africa that reinforce beliefs that men should be strong, dominant over women, sexually successful, and rigid in their gender role fulfillment shape both women’s elevated risk for HIV and men’s engagement in HIV services. Qualitative studies point to the socialization of men to be physically and mentally strong, self-reliant, emotionally inexpressive, and to avoid femininity as contributing to men’s avoidance of HIV testing, delay in ART initiation, and poor treatment adherence (14, 15). Positive masculine norms have also been identified, such as the roles of provider and father, which can serve as motivation for engagement in the care continuum for some men (14, 15). Research with both Ugandan fisherfolk and miners report that men view HIV as damaging to their reputation as a man, referred to by Siu et al. as “dented masculinity” (16–18). However, for men who experience ART’s restorative effect on their strength, health, and masculine role fulfillment, masculine identities can be “resuscitated” and adapted to be more in line with care engagement as men accept their HIV status (16–18).
HIV stigma, or social discrediting and devaluation associated with HIV (19), is another recognized determinant of men’s HIV care engagement in transient work communities (10, 20), as well as in sub-Saharan Africa more broadly (21). The HIV stigma framework posits that people living with HIV experience stigma through the mechanisms of enacted HIV stigma, anticipated HIV stigma, and internalized HIV stigma (22). Enacted HIV stigma is the degree to which people living with HIV believe they have actually experienced prejudice and discrimination from others in their community. Anticipated HIV stigma is the extent to which people living with HIV expect that they will experience prejudice and discrimination from others in the future. Internalized HIV stigma describes negative beliefs and feelings associated with HIV/AIDS that people living with HIV feel about themselves. Prior research has linked these stigma mechanisms to men’s poor engagement in HIV care, including not testing for HIV (23), delayed linkage to care (24), greater drop-out (25), and poor ART adherence (26).
Although the independent influence of both gender norms and HIV stigma on men’s HIV care engagement is well-recognized (1, 14, 15, 21), only a few qualitative studies and no quantitative studies to-date explicitly explore their synergistic effects in relation to HIV care engagement (27–29). The interconnection between these constructs, however, is evident across qualitative research focused on the role of masculine norms in HIV care engagement; a scoping review of 17 studies with this aim in sub-Saharan African settings identified the intersection between masculinity and HIV stigma as the most prevalent theme across the studies (15). This literature describes men’s fear (anticipated HIV stigma) and experience (enacted HIV stigma) of the negative social consequences of being seen at the HIV clinic or taking ART as contributing to men’s suboptimal clinic attendance and treatment adherence. The negative consequences men fear/experience most are intrinsically linked to their masculine roles and ideals. That is, being known as living with HIV is often viewed as threatening to men’s desire to be perceived by others as respected, strong, self-reliant, and sexually successful, and threatens men’s socially valued relationships with their partners, families, male peers and co-workers (30–32). Thus, HIV stigma may have a greater effect on HIV care engagement for men who adhere to traditional masculine norms, as they are likely to experience a larger negative impact of stigma on their reputation as a man, self-worth, and performance of masculine ideals.
This qualitative literature points to the potential interaction between HIV stigma and gender norm endorsement on HIV care engagement. However, no studies to our knowledge have quantitatively tested the interaction between these constructs as they relate to HIV care engagement. Moreover, few quantitative studies have examined the independent effect of gender norm endorsement on HIV care engagement outcomes. The Inequitable Gender Norms (IGN) subscale of the Gender Equitable Men (GEM) scale is a validated quantitative measure of norms endorsing gender inequity and traditional gender roles, which has been associated with men’s HIV risk behavior (33–35), violence perpetration (36–39), and HIV testing (40–42), but has been underutilized in understanding men’s clinic attendance and ART adherence (40).
To fill these gaps in the literature, the aims of this study were to: 1) examine the independent effects of inequitable gender norm endorsement and dimensions of HIV stigma, including anticipated, enacted, and internalized HIV stigma, on men’s missed HIV care appointments and missed antiretroviral (ARV) doses; and 2) examine the interaction between dimensions of HIV stigma and inequitable gender norms on these outcomes. We hypothesize that greater inequitable gender norms and HIV stigma will be associated with poor HIV care engagement, and HIV stigma will interact with inequitable gender norms to worsen men’s HIV care engagement. This study focuses on male fisherfolk on ART in Ugandan fishing communities along Lake Victoria. Characterized as HIV hotspots, HIV prevalence estimates range from 20–42% in these communities (34–36) compared to the national prevalence of 6.2% (7). Both HIV stigma (11) and masculine norms (16) have been identified as determinants of male fisherfolk’s engagement in HIV services in this setting, but have not been examined together. Understanding the independent and interacting effects of inequitable gender norm endorsement and HIV stigma on HIV care engagement in this population could inform the development of gender-tailored HIV services to engage and retain fisherfolk and men in other key populations in HIV care in sub-Saharan Africa.
Methods
Three hundred male fisherfolk living with HIV and on ART in Wakiso District, Uganda participated in this cross-sectional study. The overall purpose of the study was to understand men’s barriers and facilitators to HIV care engagement. Mildmay Uganda supported the study team in all recruitment activities. Mildmay Uganda is a non-governmental organization that supports the Ugandan Ministry of Health to provide free HIV testing and treatment in several districts in Uganda. Through purposive sampling, the study team identified a sample of patients attending Mildmay Uganda-supported outreach clinics and public health facilities serving large populations of fisherfolk. There were seven research sites in total surrounding Lake Victoria, including three landing sites (Kasenyi outreach site, Entebbe Hospital, Kigungu Health Center III) and four island sites on Bussi, Zzinga, and Kachanga Islands (Rapha Health Center, Zzinga Island outreach site, Bussi Health Center, Kachanga Island outreach site).
Recruitment and data collection occurred between October 2016 and March 2017. During HIV clinic days, clinic staff and a trained research assistant reviewed clinic records to pre-screen for eligible participants, and non-randomly approached potentially eligible men for further eligibility screening. Clinic staff also informed men of the study during routine reminder phone calls for upcoming or missed appointments. Patients were eligible for the study if they met the following criteria: male, fisherman or another occupation supporting the fishing industry, living with HIV, on ART for at least 6 months (to assess adherence), and at least 18 years of age. Of the 322 eligible men invited to participate, 22 declined for the following reasons: did not have time (n=14), did not want to disclose sensitive information (n=4), intoxicated (n=1), hearing impairment (n=1), wanted more compensation (n=1), wanted wife present at interview (n=1). For eligible men who agreed to participate, the research assistant obtained written informed consent and conducted the interviewer-administered questionnaire immediately upon enrollment in a private space in or outside of the clinic, or at another agreed-upon time and/or location if more convenient for participants. The research assistant entered responses in real-time using computer-assisted personal interviewing (CAPI) software. The interview lasted approximately 45 minutes. Institutional review boards at San Diego State University in the United States and the Makerere University School of Public Health in Uganda, as well as the Uganda National Council for Science and Technology, approved all study procedures.
Measures
The questionnaire included socio-demographic items and other variables included in our analysis as hypothesized covariates. We used a previously published analysis that assessed multi-level determinants of clinic attendance and ART adherence with the present sample to guide the selection of covariates (11). Covariates include the following: age (continuous), research site (i.e., location of study recruitment, landing site vs. island), marital status (not married/separated vs. married/living together), education (dichotomized for analysis into any vs. none based on distribution), monthly income (continuous), travel time to clinic in minutes (continuous), ART regimen or the number of ARVs prescribed (once daily vs. twice daily), months since ART initiation (continuous), any drinking in the prior 30 days (yes/no).
We measured endorsement of inequitable gender norms through the Inequitable Gender Norms (IGN) scale, a sub-scale of the Gender Equitable Men (GEM) scale (43, 44). The IGN scale has been validated with populations in Uganda, Tanzania, and Ghana (36, 44). The 15-item scale assesses men’s agreement with norms endorsing gender inequity, such as “a man should have the final word about decisions in the home” and “men are always ready to have sex,” with responses ranging from “agree” to “do not agree” (3-point scale). A total continuous score was computed by averaging the items (Cronbach’s alpha = 0.67).
Using Earnshaw’s HIV stigma framework measures (22), we assessed HIV stigma with 6-items on enacted stigma, 6-items on anticipated stigma, and 6-items on internalized stigma. Enacted stigma items measure the perceived degree of prejudice and discrimination experienced by people living with HIV due to their HIV status (e.g., “Family members have avoided you”). Anticipated stigma items measure the expectation among people living with HIV that they will experience prejudice and discrimination in the future (e.g., “Healthcare workers will avoid touching you”). Internalized stigma items assess endorsement of negative beliefs and feelings associated with HIV about themselves (“Having HIV makes you feel like you are a bad person”). Response options were measured on a 5-point scale to assess participants’ level of agreement with statements about enacted and anticipated HIV stigma (0 “strongly disagree” to 4 “strongly agree”) and the frequency of experiencing enacted HIV stigma (0 “never” to 4 “often”) (Cronbach’s alphas: enacted=0.65, anticipated=0.65, internalized=0.79). We computed the average score for each subscale, used as continuous variables in analysis.
To collect the first engagement outcome, missed HIV clinic visits, a research assistant extracted data from participants’ HIV clinic records, which the research assistant confirmed with self-report. If discrepancies arose, the research assistant recorded self-report. Data included the number of clinic visits participants were scheduled for, and the number of those visits participants did not attend within a month of the scheduled visit, in the prior 12 months (or since enrolling in care for those on ART for less than 12 months). The Adult AIDS Clinical Trial Group (AACTG) scale was used to measure the second outcome, self-reported adherence to ARVs (45). The AACTG includes recall questions about ARVs missed for the previous four days prior to the interview and items measuring reasons for non-adherence. It has demonstrated construct validity in Uganda and similar settings (46).
Data analysis approach
In SPSS version 25, we used descriptive statistics and frequencies to describe the sample. For monthly income, months on ART, and minutes traveled to the clinic, outliers (values greater than 3 standard deviations [SD] outside of the mean) (47) were identified and transformed using winsorization (i.e., truncated to the highest value within 3 SDs of the mean). Generalized linear modeling tested bivariate associations between covariates and HIV stigma variables and inequitable gender norm endorsement; we present betas (β) and standard errors (SE). Through generalized linear modeling analyses with a binomial distribution and logit link in the form of events within trials, we examined bivariate and multivariable models with the two engagement outcomes: missed HIV clinic visits and missed ARVs. Controlling for covariates identified in bivariate analyses (p < 0.05), we developed separate multivariable models to assess the association between dimensions of HIV stigma and inequitable gender norms with the two engagement outcomes, missed clinic appointments and missed ARVs, and testing interactions between dimensions of HIV stigma and inequitable gender norms. The presented bivariate models include odds ratios (ORs) and multivariable models include adjusted odds ratios (AORs) and 95% confidence intervals, and include only interactions that remained statistically significant (p < 0.05).
Results
Table 1 includes details of participant characteristics. The average age of the sample was 36.9 years old (standard deviation [SD]=8.6), with half of men married and living with their partner (49%) and two thirds of men reporting no schooling (67.3%). Men traveled an average of 42.8 minutes (SD=46.7) to get to the HIV clinic, and had been on ART, on average, for nearly 2 years (mean=23.99 months, SD=17.02). Overall, scores were normally distributed for anticipated HIV stigma, which had the highest endorsement (anticipated: mean=0.86, SD=0.53), while enacted stigma (mean=0.62, SD=0.48) and internalized stigma (mean=0.61, SD=0.53) scores skewed towards low-moderate endorsement (22). Inequitable gender norms were normally distributed, indicating overall moderate endorsement, comparable to other studies with men in sub-Saharan Africa (36, 44), with the mean score of 1.69 (SD=0.48). In the prior year, men had missed 39% of their scheduled HIV clinic appointments (SD=28.8%). Men reported taking 87.8% (SD=21.5%) of their ARV pills over the 4-day recall period, making 69% of the sample adherent (optimal adherence defined as 95% of pills taken as prescribed), and about a third of the sample sub-optimally adherent (31%).
Table 1.
Participant characteristics, Men in Ugandan fishing communities, 2016–2017 (N=300)
| n (%)/Mean | SD | Range | |
|---|---|---|---|
| Dimensions of HIV Stigma & Inequitable Gender Norm Endorsement | |||
| Internalized HIV stigma (0–4 scale) | 0.61 | 0.53 | 0–2.17 |
| Anticipated HIV stigma (0–4 scale) | 0.86 | 0.53 | 0–2.83 |
| Enacted HIV stigma (0–4 scale) | 0.62 | 0.48 | 0–3.00 |
| Inequitable gender attitudes (0–4 scale) | 1.69 | 0.48 | 0–3.00 |
| Socio-demographics | |||
| Age | 36.90 | 8.60 | 20.00–70.00 |
| Research site | |||
| Island | 175 (58.30%) | ||
| Landing site | 125 (41.70%) | ||
| Marital status | |||
| Never married | 30 (10.00%) | ||
| Divorced | 78 (26.00%) | ||
| Widowed | 16 (5.30%) | ||
| Married and separated | 29 (9.70%) | ||
| Married and living together | 147 (49.00%) | ||
| Education | |||
| No schooling | 202 (67.30%) | ||
| Primary level | 84 (28.00%) | ||
| Secondary level | 14 (4.70%) | ||
| Occupation | |||
| Fishermen | 246 (82.00%) | ||
| Fish seller, cleaner, dryer | 35 (11.67%) | ||
| Boat operator, repairer, loader | 19 (6.33%) | ||
| HIV treatment and care engagement | |||
| ART regimen | |||
| Once daily regimen | 260 (86.70%) | ||
| Twice daily regimen | 40 (13.30%) | ||
| Sub-optimal adherence (< 95% of pills taken as prescribed) | |||
| Yes | 93 (31.00%) | ||
| No | 207 (69.00%) | ||
| Number of missed clinic appointments (prior year) | 2.11 | 1.59 | 0.00–6.00 |
| Number of scheduled clinic appointments (prior year) | 5.52 | 0.96 | 1.00–8.00 |
| Proportion of missed clinic appointments (prior year) | 39.00% | 28.80% | 0.00–100.00% |
| ART adherence (% of prescribed pills taken) | 87.70% | 21.50% | 0.00–100.00% |
| Monthly income (converted to USD) | 62.20 | 29.70 | 4.10–160.40 |
| Travel time to clinic (minutes) | 42.80 | 46.70 | 2.00–360.00 |
| Months since ART initiation | 23.99 | 17.02 | 2.00–113.00 |
See Table 2 for detailed statistics on correlates of inequitable gender norm endorsement. Higher scores on the internalized HIV stigma scale was associated with greater endorsement of inequitable gender norms (β = 0.10, SE = 0.05, p = 0.04). Inequitable gender norm endorsement was also greater among men of younger age (β = −0.01, SE = 0.04, p < = 0.04) and those with any schooling compared to no schooling (β = 0.12, SE = 0.06, p = 0.04).
Table 2.
Results of bivariate regression models testing correlates of inequitable gender norm endorsement, Men in Ugandan fishing communities, 2016–2017 (N=300)
| Inequitable Gender Norms | |||
|---|---|---|---|
| β | SE | p | |
| Dimensions of HIV stigma | |||
| Internalized HIV stigma | 0.10 | 0.05 | 0.04 |
| Anticipated HIV stigma | 0.08 | 0.05 | 0.13 |
| Enacted HIV stigma | 0.01 | 0.06 | 0.81 |
| Covariates | |||
| Age | −0.01 | 0.04 | 0.04 |
| Research site | |||
| Landing site | 0.02 | 0.06 | 0.73 |
| Island (ref) | |||
| Marital status | |||
| Not married or separated | −0.08 | 0.06 | 0.13 |
| Married, living together (ref) | |||
| Education | |||
| Any schooling | 0.12 | 0.06 | 0.04 |
| No schooling (ref) | |||
| Monthly income | −0.02 | 0.01 | 0.19 |
| Travel time to clinic | 0.00 | 0.00 | 0.07 |
| ART regimen | |||
| Twice daily regiment | −0.15 | 0.08 | 0.06 |
| Once daily regimen (ref) | |||
| Months since ART initiation | −0.02 | 0.01 | 0.06 |
| Any drinking (prior 30 days) | |||
| Yes | −0.02 | 0.06 | 0.79 |
| No (ref) | |||
Note: β = unstandardized beta; SE = standard error; models were generalized linear regression; Monthly income: 1 unit = 50,000 UGX; Travel time to clinic: 1 unit = 30 minutes; Months since ART initiation: 1 unit = 6 months.
In bivariate models predicting clinic attendance, greater anticipated stigma was associated with more missed HIV clinic visits in the prior year (OR: 1.23, 95% CI: 1.02–1.49, p = 0.03). Men with greater inequitable gender norm endorsement also reported greater missed HIV clinic visits (OR: 1.47, 95% CI: 1.19–1.81, p < 0.001). In addition, we identified the following variables as statistically significant correlates of missed HIV clinic visits in the prior year: younger age (OR: 0.97, 95% CI: 0.96–0.99, p < 0.001), being recruited from a landing site rather than an island (OR: 1.74, 95% CI: 1.42–2.13, p < 0.001), being unmarried/separated compared to being married/living with partner (OR: 1.30, 95% CI: 1.06–1.58, p = 0.01), greater travel time to the HIV clinic (OR: 1.00, 95% CI: 1.00–1.01, p = 0.004), being on the once daily regimen compared to twice daily (OR: 0.72, 95% CI: 0.53–0.96, p = 0.03), less time on ART (OR: 0.99, 95% CI: 0.98–0.99, p = 0.005), and reporting any drinking in the prior 30 days (OR: 1.30, 95% CI: 1.07–1.59, p = 0.01).
In bivariate models predicting non-adherence to ART, men reporting greater anticipated HIV stigma (OR: 2.17, 95% CI: 1.62–2.89, p < 0.001) and greater enacted HIV stigma (OR: 1.77, 95% CI: 1.29–2.42, p < 0.001) reported more missed ARVs doses. Other statistically significant bivariate associations identified with missed ARVs include: younger age (OR: 0.96, 95% CI: 0.94–0.98, p < 0.001), any schooling compared to no schooling (OR: 1.58, 95% CI: 1.12.−2.22, p = 0.01), greater travel time to the HIV clinic (OR: 1.00, 95% CI: 1.00–1.01, p = 0.01), being on the once daily regimen compared to twice daily, (OR: 0.37, 95% CI: 0.22–0.62, p < 0.001), less time on ART (OR: 0.99, 95% CI: 0.98–1.00, p = 0.04), any drinking in the prior 30 days (OR: 1.59, 95% CI: 1.14–2.23, p = 0.007). See Table 3 for detailed statistics.
Table 3.
Results of bivariate regression models testing the association between covariates, dimension of HIV stigma, and inequitable gender norms with missed HIV clinic visits and missed antiretroviral (ARV) doses, Men in Ugandan fishing communities, 2016–2017 (N=300)
| Missed HIV Clinic Visits | Missed ARVs | |||||
|---|---|---|---|---|---|---|
| OR (95% CI) | x2 | p | OR (95% CI) | x2 | p | |
| Dimensions of HIV Stigma & Inequitable Gender Norm Endorsement | ||||||
| Internalized HIV stigma | 1.14 (0.95–1.37) | 1.85 | 0.17 | 1.10 (0.81–1.51) | 0.37 | 0.57 |
| Anticipated HIV stigma | 1.23 (1.02–1.49) | 4.71 | 0.03 | 2.17 (1.62–2.89) | 27.32 | <0.001 |
| Enacted HIV stigma | 1.16 (0.95–1.42) | 2.00 | 0.16 | 1.77 (1.29–2.42) | 12.74 | <0.001 |
| Inequitable gender norms | 1.47 (1.19–1.81) | 13.03 | <0.001 | 1.25 (0.89–1.76) | 1.68 | 0.19 |
| Covariates | ||||||
| Age | 0.97 (0.96–0.99) | 18.36 | <0.001 | 0.96 (0.94–0.98) | 12.99 | <0.001 |
| Research site | ||||||
| Landing site | 1.74 (1.42–2.13) | 29.03 | <0.001 | 1.08 (0.77–1.52) | 0.21 | 0.65 |
| Island (ref) | ||||||
| Marital status | ||||||
| Not married or separated | 1.30 (1.06–1.58) | 6.61 | 0.01 | 1.05 (0.75–1.46) | 0.07 | 0.79 |
| Married, living together (ref) | ||||||
| Education | ||||||
| Any schooling | 1.14 (0.92–1.40) | 1.46 | 0.23 | 1.58 (1.12–2.22) | 6.75 | 0.01 |
| No schooling (ref) | ||||||
| Monthly income | 0.98 (0.94–1.03) | 0.57 | 0.45 | 0.92 (0.84–1.00) | 3.86 | 0.05 |
| Travel time to clinic | 1.00 (1.00–1.01) | 8.52 | 0.004 | 1.00 (1.00–1.01) | 6.33 | 0.01 |
| ART regimen | ||||||
| Twice daily regiment | 0.72 (0.53–0.96) | 4.95 | 0.03 | 0.37 (0.22–0.62) | 14.28 | <0.001 |
| Once daily regimen (ref) | ||||||
| Months since ART initiation | 0.99 (0.98–0.99) | 7.89 | 0.005 | 0.99 (0.98–1.00) | 4.09 | 0.04 |
| Any drinking (prior 30 days) | ||||||
| Yes | 1.30 (1.07–1.59) | 6.65 | 0.01 | 1.59 (1.14–2.23) | 7.31 | 0.007 |
| No (ref) | ||||||
Note: OR = odds ratio; 95% CI = 95% confidence interval; x2 = Wald Chi Square; ref = reference group; missed HIV clinic visits and missed ARVs were tested using generalized logistic modeling analyses with a binomial distribution and logit link; Monthly income: 1 unit = 50,000 UGX; Travel time to clinic: 1 unit = 30 minutes; 1 unit = 6 months; Months since ART initiation: 1 unit = 6 months.
In the multivariate model for missed HIV clinic visits (see Table 4), no interactions were identified between inequitable gender norms and HIV stigma variables. However, a positive main effect was observed between inequitable gender norm endorsement and missed HIV clinic visits (AOR: 1.44, 95% CI: 1.16–1.78, p = 0.001). Anticipated HIV stigma remained only marginally associated (AOR: 1.20, 95% CI: 0.99–1.45, p = 0.07) with missed HIV clinic visits. Other covariates that remained statistically significant in the final model included younger age (AOR: 0.98, 95% CI=0.97–0.99, p = 0.001), being recruited from a landing site compared to an island (AOR: 1.65, 95% CI=1.35–2.03, p < 0.001), and not being married/living with a partner (AOR: 1.35, 95% CI=1.10–1.65, p = 0.004).
Table 4.
Multivariate model testing the association between anticipated HIV stigma and endorsement of inequitable gender norms with missed HIV clinic visits, Men in Ugandan fishing communities, 2016–2017 (N=300)
| AOR (95% CI) | x2 | p | |
|---|---|---|---|
| Inequitable gender attitudes | 1.44 (1.16–1.78) | 10.87 | 0.001 |
| Anticipated HIV stigma | 1.20 (0.99–1.45) | 3.36 | 0.07 |
| Age | 0.98 (0.97–0.99) | 10.52 | 0.001 |
| Research site | |||
| Landing site | 1.65 (1.35–2.03) | 22.92 | <0.001 |
| Island (ref) | |||
| Marital status | |||
| Not married or separated | 1.35 (1.10–1.65) | 8.23 | 0.004 |
| Married and living together (ref) |
Note: AOR = adjusted odds ratio; 95% CI = 95% confidence interval; x2 = Wald Chi Square; Travel time to clinic: 1 unit = 30 minutes
In the multivariate analyses for missed ARVs, a statistically significant interaction was observed between internalized HIV stigma and inequitable gender norm endorsement on missed ARV doses (AOR: 5.32, 95% CI: 2.60–10.86, p < 0.001). That is, the effect of gender inequitable norms on greater non-adherence increases with greater internalized HIV stigma. A positive main effect was identified between anticipated HIV stigma and missed ARV doses (AOR: 2.02, 95% CI=1.50–2.72, p < 0.001). Covariates that remained statistically associated with missed ARVs in the final model included younger age (AOR: 0.97, 95% CI=0.95–0.99, p = 0.02) and once daily regimen compared to twice daily (AOR: 0.43, 95% CI=0.25–0.75, p = 0.003). See Table 5 for detailed statistics and Figure 1 for a depiction of the observed interaction.
Table 5.
Multivariate model testing the interaction between endorsement of gender inequitable norms and internalized HIV stigma on missed antiretroviral (ARV) doses, Men in Ugandan fishing communities, 2016–2017 (N=300)
| AOR (95% CI) | x2 | p | |
|---|---|---|---|
| Inequitable gender norms × internalized HIV stigma | 5.32 (2.60–10.86) | 21.02 | <0.001 |
| Anticipated HIV stigma | 2.02 (1.50–2.72) | 21.52 | <0.001 |
| Internalized HIV stigma | 0.05 (0.01–0.19) | 19.70 | <0.001 |
| Inequitable gender norms | 0.40 (0.23–0.68) | 11.22 | 0.001 |
| Age | 0.97 (0.95–0.99) | 5.76 | 0.02 |
| Number of pills prescribed | |||
| 2 pills/day | 0.43 (0.25–0.75) | 9.13 | 0.003 |
| 1 pill/day (ref) |
Note: AOR = adjusted odds ratio; 95% CI = 95% confidence interval; x2 = Wald Chi Square
Figure 1.
Mean predicted value of number of missed ARVs by gender norm endorsement and internalized HIV stigma. Note: The graph compares men with gender inequitable attitudes scores 1.5 standard deviation below the mean vs. 1.5 standard deviation above the mean.
Discussion
This study sought to understand the independent and interacting associations between inequitable gender norm endorsement and HIV stigma on HIV clinic attendance and ART adherence among men on ART. These research questions were examined among male fisherfolk in Ugandan fishing communities, a most-at-risk and priority population for HIV test-and-treat initiatives in Uganda. The study’s findings extends the current literature by quantitatively assessing the effect of inequitable gender norm endorsement on HIV clinic attendance and ART adherence, and by examining the interaction between dimensions of HIV stigma with inequitable gender norms – adding support and further insight into previous qualitative inquiries. In this study, fisherfolk endorsing more inequitable gender norms reported greater internalized HIV stigma, were less likely to attend HIV clinic appointments, and inequitable gender norm endorsement negatively affected ART adherence for men with high internalized HIV stigma.
The study’s findings add support to a large body of research reporting detrimental effects of inequitable gender norms on men’s health behavior and outcomes. Specific to HIV risk in sub-Saharan Africa, research links inequitable gender norms to unprotected sex, multiple partners, substance use in the context of sex, and intimate partner violence (33–39). More recent inquiries in the region quantitatively link inequitable gender norms to less HIV testing (40–42), but the effect of inequitable gender norms on engagement in the HIV care continuum after men are linked to care is less studied (40). In this study, men endorsing more inequitable gender norms had a greater likelihood of missing their HIV clinic appointments. Men with greater anticipated HIV stigma reported greater missed HIV clinic visits. While the fear of being seen at the HIV clinic is a known deterrent to male clinic attendance across settings (21), this association may be particularly relevant in occupation-based communities, where the risk of being seen by one’s coworkers is high.
Prior qualitative studies in sub-Saharan Africa provide insight as to why men with more traditional gender attitudes may be more likely to avoid HIV care, including the tendency for men to feminize health and HIV services and not want to be seen in “female spaces” (48–51). Men with inequitable gender attitudes may also be more resistant to assuming the patient role, associating it with weakness and vulnerability (52–54). In addition, an unwillingness to change male-sanctioned risk behaviors associated with inequitable gender norms, such as sex with multiple partners, unprotected sex, and alcohol use, can contribute to men’s avoidance of HIV services (49, 52, 55). A study with men in Ugandan mining towns, which have similar characteristics of fishing communities, found one barrier to HIV testing and treatment uptake was the fear that being seen at the HIV clinic would undermine opportunities for sex in the context of competition for partners (56). Men in the present study who reported greater anticipated HIV stigma were more likely to report missed HIV clinic appointments. However, we did not identify interactions between inequitable gender norms and any of the HIV stigma dimensions on clinic attendance. It is possible that these null findings are a result of having recruited the sample directly from the HIV clinic. Future studies should test the interacting effects of HIV stigma and gender norms on clinic attendance among a community-based sample of men, for whom stigma and gender norms may be an especially pertinent barrier.
ART adherence was compromised in this study for men with high endorsement of inequitable gender norms and high internalized HIV stigma, as demonstrated by the observed interaction between these constructs. Thus, inequitable gender norms and internalized HIV stigma have a synergistic effect on ART adherence. We did not identify any other interactions between inequitable gender norms and enacted or anticipated HIV stigma. Prior research has demonstrated internalized stigma can reduce ART adherence (57–60). It is theorized that internalized HIV stigma may have a more direct effect on ART adherence than other interpersonal forms of HIV stigma because of its greater implications for psychological and mental health outcomes, making it more proximal to behavioral and clinical outcomes (22, 58, 61). Future research should explore indirect pathways in which internalized HIV stigma and inequitable gender norms may lead to non-adherence, which could include depression or other compromised psychological processes, such as adaptive coping and social support (59, 62–64). Nevertheless, the present study extends the current literature by demonstrating that for men with high inequitable gender norms endorsement and high internalized HIV stigma, ART adherence was negatively affected. These men may view HIV as particularly damaging to masculine roles/ideals, which when compounded by internalized HIV stigma, is to the determinant of men’s treatment adherence.
Implications
This study’s findings have implications for the use of gender-transformative interventions to address men’s gendered barriers to HIV care engagement. Gender-transformative interventions broadly challenge harmful masculine norms and promote gender equality as an approach to improve men and women’s healthy behaviors and outcomes. Systematic reviews report that gender-transformative programs that engage individuals or groups of men and women to adopt gender equitable attitudes have been successful at reducing IPV incidence, sexual risk, and gender inequitable attitudes in African settings (65, 66). Emerging evidence supports their application for engaging men in HIV testing and care (67–70), but more research is needed that tests this intervention approach’s effect more specifically on ART adherence, retention in HIV care, and viral load suppression among people living with HIV.
The findings of the present study suggests that integrating evidence-based stigma reduction strategies into gender-transformative interventions would strengthen this approach, and vice versa. This approach might be especially relevant for engaging young men in HIV care, as younger men in the present sample were more likely to miss HIV clinic visits and ARV doses, and were more likely to endorse inequitable gender norms. Research points to multi-level strategies that combine individual-level with community or structural-level components as potentially more effective than single-level interventions for both gender transformative interventions (65, 71) and stigma reduction interventions (72). Both gender inequitable attitudes and HIV stigma are thought to stem from broader social norms embedded in community and institutional structures (73–75), further justifying a focus on multi-level interventions. At the interpersonal-level, increasing social support through couples, family, and peer-based approaches has reduced HIV stigma in a range of settings (76–78). One peer-based study in Uganda recruited model men called “Emanzis” to lead peer groups through a 10-session curriculum designed to transform gender norms and motivate men to engage in family planning and HIV services (68). Although the study saw only small changes in gender attitudes, men in the intervention reported more health facility visits, HIV testing, and condom use (68).
At the community-level, community-wide communication campaigns or broader network-approaches to engage men in HIV care could apply a gender transformative lens to HIV stigma reduction, building on previous research that separately demonstrates success in community-level normative change related to gender equity (79) and HIV stigma (77). Figueroa et al. (80) used community dialogues in Mozambique to change gender and sexual norms for HIV prevention, a potentially replicable and scalable approach to altering community norms, while increasing social support protective against HIV stigma; the study reported reduced inequitable gender attitudes and HIV stigma among men in the intervention (80).
Other structural-level gender-transformative interventions target economic HIV risk factors, such as microfinance or cash transfer programs to reduce women’s vulnerability to HIV by improving their economic independence (81). Economic vulnerability is a known driver of sexual risk and alcohol use in Ugandan fishing communities (82, 83). Therefore, similar livelihood or savings-led economic strengthening interventions could address structural barriers to HIV care engagement in this setting (83), while reducing HIV stigma. Such approaches have been shown to reduce internalized HIV stigma associated with HIV diagnosis when paired with ART programs (21, 72, 84, 85).
Limitations
This study adds quantitative evidence to a largely qualitative literature linking gender norm endorsement, HIV stigma, and HIV engagement outcomes. However, the cross-sectional design of this study limits inference of a causal relationship between the constructs examined, which likely have bidirectional relationships. We found men with greater endorsement of inequitable gender norms also reported greater internalized HIV stigma. This finding provides some preliminary support that gender norms shape men’s experience of stigma – pointing to the potential mediating role of HIV stigma, in addition to moderation. Future longitudinal research can extend this study’s findings by further delineating the pathways between the constructs examined, including testing HIV stigma as a mediator between inequitable gender norms and men’s health seeking behavior. Longitudinal study designs can help to establish temporality and further delineate the pathways in which these constructs are interconnected and influence HIV care engagement.
The use of self-reported HIV care engagement outcomes are subject to recall and social desirability bias, and would be improved through biological measures of ART adherence or viral load. We used clinic record data to collect participants’ clinic attendance, which research assistants confirmed with self-report. However, we did not systematically measure the degree of agreement between self-report and clinic records. The measurement of HIV stigma and gender norm endorsement is also limited to the individual-level; future studies would strengthen the literature using community-level measures of these constructs.
The generalizability of the findings reported are limited to male fisherfolk on HIV treatment in Uganda. We included men on ART for at least 6 months to allow us to measure retention in care and ART adherence. Therefore, we did not capture men who are known HIV positive, but not on HIV treatment. It is possible that selection bias resulting from this eligibility criterion could have influenced the interaction results. However, the scores on internalized HIV stigma in this sample are comparable to that reported in cohort studies of individuals on ART in Uganda (87, 88). Therefore, the findings may be generalizable to others on treatment.
Further, this sample of men was a convenience sample recruited directly from the HIV clinic using non-random, purposive sampling. Men engaged in HIV care and on HIV treatment, as well as men agreeing to participate in this study, may be less likely to endorse gender inequitable norms and HIV stigma than those not on ART or not agreeing to participate in this study. Future research should explore the relationship of gender norms and HIV stigma in relation to care engagement among men lost to follow-up, and community samples of men in relation to HIV testing. Research on this topic with men not found at the clinic could yield a larger the effect size if they endorse more inequitable gender norms and HIV stigma than those in the present sample. It could also uncover interactions with the other dimensions of stigma measured (i.e., anticipated and enacted), which may be more important for men avoiding care.
Conclusions
The findings from this study add support for the role of inequitable gender norm endorsement in men’s HIV clinic attendance, as well for the synergistic effect of inequitable gender norms and internalized HIV stigma on ART adherence among Ugandan fisherfolk living with HIV. The findings suggest gender-transformative interventions that alter inequitable gender norms could help improve men’s engagement in HIV care, and would be strengthened through the integration of strategies that simultaneously reduce HIV stigma. Future research should continue to explore the intersection between inequitable gender norms and HIV stigma, while testing multi-level strategies to reduce gender gaps in the HIV care continuum for men in high-risk, transient work communities and more broadly.
Supplementary Material
Acknowledgements:
We thank the research participants for their time and participation. We also are grateful to Mildmay Uganda outreach teams and clinic staff for supporting this study. Harriet Chemusto, Epidemiologist and Mildmay Research Outreach Coordinator, provided vital support to the launch and implementation of this project.
Funding: The GloCal Health Fellowship from the National Institute of Health Fogarty International Center and the University of California Global Health Institute awarded to K. Sileo supported this study (NIH/FIC 5R25TW009343-05). K. Sileo was also supported by a T32 Predoctoral Fellowship Award on Substance Abuse, HIV, and Related Infections from the National Institute of Drug Abuse T32 DA023356 (PI: Steffanie Strathdee) and a Mentored Research Scientist Career Development Award from the National Institute of Mental Health of the National Institutes of Health (K01MH121663). The funding supported only the study author and not the study directly. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
Conflicts of interest/competing interests: The authors have no relevant financial or non-financial interests to disclose.
Declarations
Ethical Approval: This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Institutional Review Boards at San Diego State University and the Makerere University School of Public Health, as well as the Uganda National Council for Science and Technology.
Consent to participate: Informed consent was obtained from all individual participants included in the study.
References
- 1.UNAIDS. Blind spot: Reaching out to men and boys -- Addressing a blind spot in response to HIV. Available from: http://www.unaids.org/sites/default/files/media_asset/blind_spot_en.pdf.2017.
- 2.UNAIDS. Global HIV & AIDS statistics -- 2018 fact sheet. Available from: http://www.unaids.org/en/resources/fact-sheet.2018.
- 3.Beckham SW, Beyrer C, Luckow P, Doherty M, Negussie EK, Baral SD. Marked sex differences in all-cause mortality on antiretroviral therapy in low- and middle-income countries: a systematic review and meta-analysis. J Int AIDS Soc. 2016;19(1):21106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cornell M, McIntyre J, Myer L. Men and antiretroviral therapy in Africa: our blind spot. Trop Med Int Health. 2011;16(7):828–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Shand T, Thomson-de Boor H, van den Berg W, Peacock D, Pascoe L. The HIV blind spot: men and HIV testing, treatment and care in sub-Saharan Africa. IDS Bulletin. 2014;45(1):53–60. [Google Scholar]
- 6.Tromp N, Michels C, Mikkelsen E, Hontelez J, Baltussen R. Equity in utilization of antiretroviral therapy for HIV-infected people in South Africa: a systematic review. Int J Equity Health. 2014;13(1):1–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ministry of Health U. Uganda Population-Based HIV Impact Assessment (UPHIA) 2016–2017. Kampala: Ministry of Health; 2019. [Google Scholar]
- 8.Kanters S, Nansubuga M, Mwehire D, Odiit M, Kasirye M, Musoke W, et al. Increased mortality among HIV-positive men on antiretroviral therapy: survival differences between sexes explained by late initiation in Uganda. HIV/AIDS (Auckland, NZ). 2013;5:111–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Edwards JK, Arimi P, Ssengooba F, Mulholland G, Markiewicz M, Bukusi EA, et al. The HIV care continuum among resident and non-resident populations found in venues in East Africa cross-border areas. J Int AIDS Soc. 2019;22(1):e25226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Romo ML, George G, Mantell JE, Mwai E, Nyaga E, Odhiambo JO, et al. Psychosocial characteristics of primary care-seeking long-distance truck drivers in Kenya and associations with HIV testing. African journal of AIDS research : AJAR. 2018;17(2):119–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Sileo K, Wanyenze RK, Kizito W, Reed L, Brodine SK, Chemusto H, et al. Multi-Level determinants of clinic attendance and antiretroviral treatment adherence among fishermen living with HIV/AIDS in Lake Victoria, Uganda. AIDS Behav. 2019;23(2):406–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Courtenay WH. Constructions of masculinity and their influence on men’s well-being: a theory of gender and health. Social Science & Medicine. 2000;50(10):1385–401. [DOI] [PubMed] [Google Scholar]
- 13.Courtenay WH. Engendering health: A social constructionist examination of men’s health beliefs and behaviors. Psychology of Men & Masculinity. 2000;1:4–15. [Google Scholar]
- 14.Sileo KM, Fielding-Miller R, Dworkin SL, Fleming PJ. What role do masculine norms play in men’s HIV testing in sub-Saharan Africa?: A scoping review. AIDS and Behavior. In press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Sileo KM, Fielding-Miller R, Dworkin SL, Fleming PJ. A scoping review on the role of masculine norms in men’s engagement in the HIV care continuum in sub-Saharan Africa. AIDS Care. 2019:1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Sileo KM, Reed E, Kizito W, Wagman JA, Stockman JK, Wanyenze RK, et al. Masculinity and engagement in HIV care among male fisherfolk on HIV treatment in Uganda. Culture Health & Sexuality. 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Siu GE, Wight D, Seeley J. ‘Dented’ and ‘resuscitated’ masculinities: the impact of HIV diagnosis and/or enrolment on antiretroviral treatment on masculine identities in rural eastern Uganda. SAHARA J. 2014;11(1):211–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Siu GE, Wight D, Seeley J. How a masculine work ethic and economic circumstances affect uptake of HIV treatment: experiences of men from an artisanal gold mining community in rural eastern Uganda. Journal of the International AIDS Society. 2012;15(Suppl 1):17368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Goffman E Stigma: Notes on the Management of Spoiled Identity. New York: Simon & Schuster Inc.; 1963. [Google Scholar]
- 20.Bogart LM, Naigino R, Maistrellis E, Wagner GJ, Musoke W, Mukasa B, et al. Barriers to linkage to HIV care in Ugandan fisherfolk communities: a qualitative analysis. AIDS Behav. 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Sharma M, Barnabas RV, Celum C. Community-based strategies to strengthen men’s engagement in the HIV care cascade in sub-Saharan Africa. PLOS Medicine. 2017;14(4):e1002262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Earnshaw VA, Smith LR, Chaudoir SR, Amico KR, Copenhaver MM. HIV Stigma Mechanisms and Well-Being among PLWH: A Test of the HIV Stigma Framework. AIDS and behavior. 2013;17(5):1785–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ha JH, Van Lith LM, Mallalieu EC, Chidassicua J, Pinho MD, Devos P, et al. Gendered relationship between HIV stigma and HIV testing among men and women in Mozambique: a cross-sectional study to inform a stigma reduction and male-targeted HIV testing intervention. BMJ open. 2019;9(10):e029748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Gesesew HA, Tesfay Gebremedhin A, Demissie TD, Kerie MW, Sudhakar M, Mwanri L. Significant association between perceived HIV related stigma and late presentation for HIV/AIDS care in low and middle-income countries: A systematic review and meta-analysis. PloS one. 2017;12(3):e0173928–e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Tymejczyk O, Vo Q, Kulkarni SG, Antelman G, Boshe J, Reidy W, et al. Tracing-corrected estimates of disengagement from HIV care and mortality among patients enrolling in HIV care without overt immunosuppression in Tanzania. AIDS Care. 2019:1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Rueda S, Mitra S, Chen S, Gogolishvili D, Globerman J, Chambers L, et al. Examining the associations between HIV-related stigma and health outcomes in people living with HIV/AIDS: a series of meta-analyses. BMJ open. 2016;6(7):e011453–e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Chikovore J, Hart G, Kumwenda M, Chipungu G, Desmond N, Corbett EL. TB and HIV stigma compounded by threatened masculinity: implications for TB health-care seeking in Malawi. The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease. 2017;21(11):26–33. [DOI] [PubMed] [Google Scholar]
- 28.Mburu G, Ram M, Siu G, Bitira D, Skovdal M, Holland P. Intersectionality of HIV stigma and masculinity in eastern Uganda: implications for involving men in HIV programmes. BMC Public Health. 2014;14:1061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Masculinity Wyrod R. and the persistence of AIDS stigma. Cult Health Sex. 2011;13(4):443–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Okoror TA, Falade CO, Walker EM, Olorunlana A, Anaele A. Social context surrounding HIV diagnosis and construction of masculinity: a qualitative study of stigma experiences of heterosexual HIV positive men in southwest Nigeria. BMC public health. 2016;16:507-. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chikovore J, Gillespie N, McGrath N, Orne-Gliemann J, Zuma T. Men, masculinity, and engagement with treatment as prevention in KwaZulu-Natal, South Africa. AIDS Care. 2016;28(sup3):74–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Naugle DA, Tibbels NJ, Hendrickson ZM, Dosso A, Van Lith L, Mallalieu EC, et al. Bringing fear into focus: The intersections of HIV and masculine gender norms in Côte d’Ivoire. PLOS ONE. 2019;14(10):e0223414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gottert A, Barrington C, McNaughton-Reyes HL, Maman S, MacPhail C, Lippman SA, et al. Gender Norms, Gender Role Conflict/Stress and HIV Risk Behaviors Among Men in Mpumalanga, South Africa. AIDS and Behavior. 2018;22(6):1858–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Gottert A, Barrington C, Pettifor A, McNaughton-Reyes HL, Maman S, MacPhail C, et al. Measuring Men’s Gender Norms and Gender Role Conflict/Stress in a High HIV-Prevalence South African Setting. AIDS Behav. 2016;20(8):1785–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Gottert AL. Gender norms, masculine gender-role strain, and HIV risk behaviors among men in rural South Africa: The University of North Carolina at Chapel Hill; 2014.
- 36.Vu L, Pulerwitz J, Burnett-Zieman B, Banura C, Okal J, Yam E. Inequitable Gender Norms From Early Adolescence to Young Adulthood in Uganda: Tool Validation and Differences Across Age Groups. J Adolesc Health. 2017;60(2s2):S15–s21. [DOI] [PubMed] [Google Scholar]
- 37.Mulawa MI, Reyes HLM, Foshee VA, Halpern CT, Martin SL, Kajula LJ, et al. Associations between peer network gender norms and the perpetration of intimate partner violence among urban Tanzanian men: a multilevel analysis. Prevention science. 2018;19(4):427–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Peitzmeier SM, Kågesten A, Acharya R, Cheng Y, Delany-Moretlwe S, Olumide A, et al. Intimate Partner Violence Perpetration Among Adolescent Males in Disadvantaged Neighborhoods Globally. Journal of Adolescent Health. 2016;59(6):696–702. [DOI] [PubMed] [Google Scholar]
- 39.Fleming PJ, McCleary-Sills J, Morton M, Levtov R, Heilman B, Barker G. Risk factors for men’s lifetime perpetration of physical violence against intimate partners: results from the international men and gender equality survey (IMAGES) in eight countries. PloS one. 2015;10(3):e0118639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Pulerwitz J, Gottert A, Kahn K, Haberland N, Julien A, Selin A, et al. Gender Norms and HIV Testing/Treatment Uptake: Evidence from a Large Population-Based Sample in South Africa. AIDS and Behavior. 2019;23(2):162–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Maman S, Mulawa MI, Balvanz P, McNaughton Reyes HL, Kilonzo MN, Yamanis TJ, et al. Results from a cluster-randomized trial to evaluate a microfinance and peer health leadership intervention to prevent HIV and intimate partner violence among social networks of Tanzanian men. PLoS One. 2020;15(3):e0230371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Nanda G, Dal Santo L, Konde JN, de Negri B. Barriers to achieving the first 90%: gender norms and HIV testing among men in the Democratic Republic of the Congo. AIDS Care. 2018;30(10):1231–8. [DOI] [PubMed] [Google Scholar]
- 43.Pulerwitz J, Barker G. Measuring attitudes toward gender norms among young men in Brazil: development and psychometric evaluation of the GEM Scale. Men Masculinities. 2007;10:322–38. [Google Scholar]
- 44.Shattuck D, Burke H, Ramirez C, Succop S, Costenbader B, Attafuah JD, et al. Using the inequitable gender norms scale and associated HIV risk behaviors among men at high risk for HIV in Ghana and Tanzania. Men Masculinities. 2013;16(5):540–59. [Google Scholar]
- 45.Chesney MA, Ickovics JR, Chambers DB, Gifford AL, Neidig J, Zwickl B, et al. Self-reported adherence to antiretroviral medications among participants in HIV clinical trials: The AACTG adherence instruments. AIDS Care. 2000;12(3):255–66. [DOI] [PubMed] [Google Scholar]
- 46.Oyugi JH, Byakika-Tusiime J, Ragland K, Laeyendecker O, Mugerwa R, Kityo C, et al. Treatment interruptions predict resistance in HIV-positive individuals purchasing fixed-dose combination antiretroviral therapy in Kampala, Uganda. AIDS. 2007;21(8):965–71 10.1097/QAD.0b013e32802e6bfa. [DOI] [PubMed] [Google Scholar]
- 47.Howell DC. Statistical methods in human sciences. New York: Wadsworth; 1998. [Google Scholar]
- 48.Bila B, Egrot M. Gender asymmetry in healthcare-facility attendance of people living with HIV/AIDS in Burkina Faso. Soc Sci Med. 2009;69(6):854–61. [DOI] [PubMed] [Google Scholar]
- 49.Skovdal M, Campbell C, Madanhire C, Mupambireyi Z, Nyamukapa C, Gregson S. Masculinity as a barrier to men’s use of HIV services in Zimbabwe. Globalization and health. 2011;7:13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Van Heerden A, Msweli S, Van Rooyen H. “Men don’t want things to be seen or known about them”: A mixed-methods study to locate men in a home based counselling and testing programme in KwaZulu-Natal, South Africa. Ajar-African Journal of Aids Research. 2015;14(4):353–9. [Google Scholar]
- 51.Zissette S, Watt MH, Prose NS, Mntambo N, Moshabela M. ‘If You Don’t Take a Stand for Your Life, Who Will Help You?’: Men’s Engagement in HIV Care in KwaZulu-Natal, South Africa. Psychology of Men & Masculinity. 2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Mburu G, Ram M, Siu G, Bitira D, Skovdal M, Holland P. Intersectionality of HIV stigma and masculinity in eastern Uganda: implications for involving men in HIV programmes. BMC Public Health. 2014;141061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Rakgoasi SD, Odimegwu C. ‘Women get infected but men die…!’ Narratives on men, masculinities and HIV/AIDS in Botswana. International Journal of Men’s Health. 2013;12(2):166–82. [Google Scholar]
- 54.Bhagwanjee A, Govender K, Reardon C, Johnstone L, George G, Gordon S. Gendered constructions of the impact of HIV and AIDS in the context of the HIV-positive seroconcordant heterosexual relationship. J Int AIDS Soc. 2013;16:18021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Fitzgerald M, Collumbien M, Hosegood V. “No one can ask me ‘Why do you take that stuff?’“: men’s experiences of antiretroviral treatment in South Africa. Aids Care-Psychological and Socio-Medical Aspects of Aids/Hiv. 2010;22(3):355–60. [DOI] [PubMed] [Google Scholar]
- 56.Siu GE, Wight D, Seeley JA. Masculinity, social context and HIV testing: an ethnographic study of men in Busia district, rural eastern Uganda. BMC Public Health. 2014;14(1):1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Blake Helms C, Turan JM, Atkins G, Kempf MC, Clay OJ, Raper JL, et al. Interpersonal Mechanisms Contributing to the Association Between HIV-Related Internalized Stigma and Medication Adherence. AIDS Behav. 2017;21(1):238–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Turan B, Budhwani H, Fazeli PL, Browning WR, Raper JL, Mugavero MJ, et al. How Does Stigma Affect People Living with HIV? The Mediating Roles of Internalized and Anticipated HIV Stigma in the Effects of Perceived Community Stigma on Health and Psychosocial Outcomes. AIDS Behav. 2017;21(1):283–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Turan B, Smith W, Cohen MH, Wilson TE, Adimora AA, Merenstein D, et al. Mechanisms for the Negative Effects of Internalized HIV-Related Stigma on Antiretroviral Therapy Adherence in Women: The Mediating Roles of Social Isolation and Depression. J Acquir Immune Defic Syndr. 2016;72(2):198–205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Rice WS, Crockett KB, Mugavero MJ, Raper JL, Atkins GC, Turan B. Association Between Internalized HIV-Related Stigma and HIV Care Visit Adherence. J Acquir Immune Defic Syndr. 2017;76(5):482–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Turan B, Hatcher AM, Weiser SD, Johnson MO, Rice WS, Turan JM. Framing Mechanisms Linking HIV-Related Stigma, Adherence to Treatment, and Health Outcomes. Am J Public Health. 2017;107(6):863–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Turan B, Rice WS, Crockett KB, Johnson M, Neilands TB, Ross SN, et al. Longitudinal association between internalized HIV stigma and antiretroviral therapy adherence for women living with HIV: the mediating role of depression. Aids. 2019;33(3):571–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Rao D, Feldman BJ, Fredericksen RJ, Crane PK, Simoni JM, Kitahata MM, et al. A structural equation model of HIV-related stigma, depressive symptoms, and medication adherence. AIDS Behav. 2012;16(3):711–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Katz IT, Ryu AE, Onuegbu AG, Psaros C, Weiser SD, Bangsberg DR, et al. Impact of HIV-related stigma on treatment adherence: systematic review and meta-synthesis. J Int AIDS Soc. 2013;16(3Suppl 2):18640. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.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 Behav. 2013;17(9):2845–63. [DOI] [PubMed] [Google Scholar]
- 66.Casey E, Carlson J, Two Bulls S, Yager A. Gender Transformative Approaches to Engaging Men in Gender-Based Violence Prevention: A Review and Conceptual Model. Trauma Violence Abuse. 2018;19(2):231–46. [DOI] [PubMed] [Google Scholar]
- 67.Fleming PJ, Colvin C, Peacock D, Dworkin SL. What role can gender-transformative programming for men play in increasing men’s HIV testing and engagement in HIV care and treatment in South Africa? Cult Health Sex. 2016:1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Ghanotakis E, Hoke T, Wilcher R, Field S, Mercer S, Bobrow EA, et al. Evaluation of a male engagement intervention to transform gender norms and improve family planning and HIV service uptake in Kabale, Uganda. Global Public Health. 2017;12(10):1297–314. [DOI] [PubMed] [Google Scholar]
- 69.Lusey H, San Sebastian M, Christianson M, Edin KE. Prevalence and correlates of gender inequitable norms among young, church-going women and men in Kinshasa, Democratic Republic of Congo. BMC Public Health. 2018;18(1):887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Maman S, Mbwambo JK, Hogan NM, Kilonzo GP, Campbell JC, Weiss E, et al. HIV-positive women report more lifetime partner violence: findings from a voluntary counseling and testing clinic in Dar es Salaam, Tanzania. Am J Public Health. 2002;92(8):1331–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Dworkin SL, Fleming PJ, Colvin CJ. The promises and limitations of gender-transformative health programming with men: critical reflections from the field. Cult Health Sex. 2015;17(2):128–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Pantelic M, Steinert JI, Park J, Mellors S, Murau F. ‘Management of a spoiled identity’: systematic review of interventions to address self-stigma among people living with and affected by HIV. BMJ Glob Health. 2019;4(2):e001285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Fleming PJ, Dworkin SL. The importance of masculinity and gender norms for understanding institutional responses to HIV testing and treatment strategies. AIDS. 2016;30(1):157–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Stangl AL, Earnshaw VA, Logie CH, van Brakel W, L CS, Barré I, et al. The health stigma and discrimination framework: A global, crosscutting framework to inform research, intervention development, and policy on health-related stigmas. BMC Medicine. 2019;17(1):31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Wyrod R Masculinity and the persistence of AIDS stigma. Cult Health Sex. 2011;13(4):443–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Hickey MD SC, Omollo D, Mattah B, Fiorella KJ, Geng EH, Bacchetti P, Blat C, Ouma GB, Zoughbie D, Tessler RA, Salmen MR, Campbell H, Gandhi M, Shade S, Njoroge B, Bukusi EA, Cohen CR,. Implementation and operational research: pulling the network together: quasiexperimental trial of a patient-defined support network intervention for promoting engagement in HIV care and medication adherence on Mfangano Island, Kenya. J Acquir Immune Defic Syndr. 2015;69(4):e127–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Stangl AL, Lloyd JK, Brady LA, Holland CE, Baral S. A systematic review of interventions to reduce HIV-related stigma and discrimination from 2002 to 2013: how far have we come? J Int AIDS Soc. 2013;16(2):18734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Peltzer K, Weiss SM, Soni M, Lee TK, Rodriguez VJ, Cook R, et al. A cluster randomized controlled trial of lay health worker support for prevention of mother to child transmission of HIV (PMTCT) in South Africa. AIDS research and therapy. 2017;14(1):61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Chatterji S, Stern E, Dunkle K, Heise L. Community activism as a strategy to reduce intimate partner violence (IPV) in rural Rwanda: Results of a community randomised trial. J Glob Health. 2020;10(1):010406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Figueroa ME, Poppe P, Carrasco M, Pinho MD, Massingue F, Tanque M, et al. Effectiveness of Community Dialogue in Changing Gender and Sexual Norms for HIV Prevention: Evaluation of the Tchova Tchova Program in Mozambique. Journal of Health Communication. 2016;21(5):554–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Kilburn KN, Pettifor A, Edwards JK, Selin A, Twine R, MacPhail C, et al. Conditional cash transfers and the reduction in partner violence for young women: an investigation of causal pathways using evidence from a randomized experiment in South Africa (HPTN 068). J Int AIDS Soc. 2018;21Suppl 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Sileo K, Kintu M, Chanes-Mora P, Kiene S. “Such behaviors are not in my home village, I got them here”: a qualitative study of the influence of contextual factors on alcohol and HIV risk behaviors in a fishing community on Lake Victoria, Uganda. AIDS Behav. 2016;20(3):537–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Kiene SM, Ediau M, Schmarje KA, Kintu M, Tumwesigye NM. Exploring the Potential of Savings-Led Economic Strengthening HIV Interventions Among High-Risk Economically Vulnerable Fishing Communities in Uganda: Associations Between Use of Commitment Savings, Sexual Risk Behavior, and Problematic Alcohol Use. AIDS Behav. 2019;23(9):2347–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Kakuhikire B, Suquillo D, Atuhumuza E, Mushavi R, Perkins JM, Venkataramani AS, et al. A livelihood intervention to improve economic and psychosocial well-being in rural Uganda: Longitudinal pilot study. Sahara j. 2016;13(1):162–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Tsai AC, Hatcher AM, Bukusi EA, Weke E, Lemus Hufstedler L, Dworkin SL, et al. A Livelihood Intervention to Reduce the Stigma of HIV in Rural Kenya: Longitudinal Qualitative Study. AIDS Behav. 2017;21(1):248–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
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