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The social network context of HIV stigma: Population-based, sociocentric network study in rural Uganda.

ABSTRACT: RATIONALE:HIV-related stigma profoundly affects the physical and social wellbeing of people living with HIV, as well as the community's engagement with testing, treatment, and prevention. Based on theories of stigma elaborating how it arises from the relationships between the stigmatized and the stigmatizer as well as within the general community, we hypothesized that social networks can shape HIV-related stigma. OBJECTIVE:To estimate social network correlates of HIV-related stigma. METHODS:During 2011-2012, we collected complete social network data from a community of 1669 adults ("egos") in Mbarara, Uganda using six culturally-adapted name generators to elicit different types of social ties ("alters"). We measured HIV-related stigma using the 9-item AIDS-Related Stigma Scale. HIV serostatus was based on self-report. We fitted linear regression models that account for network autocorrelation to estimate the association between egos' HIV-related stigma, alters' HIV-related stigma and alters' self-reported HIV serostatus, while adjusting for egos' HIV serostatus, network centrality, village size, perceived HIV prevalence, and sociodemographic characteristics. RESULTS:The average AIDS-Related Stigma Score was 0.79 (Standard Deviation = 0.50). In the population 116 (7%) egos reported being HIV-positive, and 757 (46%) reported an HIV-positive alter. In the multivariable model, we found that egos' own HIV-related stigma was positively correlated with their alters' average stigma score (b=0.53; 95% confidence interval [CI] 0.42-0.63) and negatively correlated with having one or more HIV-positive alters (b=-0.05; 95% CI -0.10 to -0.003). CONCLUSION:Stigma-reduction interventions should be targeted not only at the level of the individual but also at the level of the network. Directed and meaningful contact with people living with HIV may also reduce HIV-related stigma.

SUBMITTER: Takada S

PROVIDER: S-EPMC6827718 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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The social network context of HIV stigma: Population-based, sociocentric network study in rural Uganda.

Takada Sae S Nyakato Viola V Nishi Akihiro A O'Malley A James AJ Kakuhikire Bernard B Perkins Jessica M JM Bangsberg David R DR Christakis Nicholas A NA Tsai Alexander C AC

Social science & medicine (1982) 20190520

<h4>Rationale</h4>HIV-related stigma profoundly affects the physical and social wellbeing of people living with HIV, as well as the community's engagement with testing, treatment, and prevention. Based on theories of stigma elaborating how it arises from the relationships between the stigmatized and the stigmatizer as well as within the general community, we hypothesized that social networks can shape HIV-related stigma.<h4>Objective</h4>To estimate social network correlates of HIV-related stigm ...[more]

PMID: 31229909

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Project description:BackgroundStigma is a formidable social structural barrier to HIV testing, and yet the effect of stigma on HIV testing is rarely examined at the community level. We aimed to examine the geospatial relationships of perceived HIV stigma and HIV testing among men and women living in rural Uganda.MethodsWomen and men (aged ≥18 years or emancipated minor) residing in rural areas of Uganda who self-identified as HIV negative completed interviews that included measures of HIV testing history and how participants perceived HIV stigma. We used geospatial cluster analyses to identify areas of higher perceived stigma and lower perceived stigma and the geographical dispersion of these areas. We used Poisson regression models stratified by gender to test individual-level and community-level perceived stigma in relation to frequency of HIV testing in the previous 2 years.FindingsBetween Nov 25, 2015, and May 26, 2017, we interviewed 9740 participants (4359 [45%] men and 5381 [55%] women]), among whom 940 (9%) had never been tested for HIV, and among those who had been tested, 1131 (12%) had not been tested in the previous 2 years. Men (3134 [72%] of 4359) were less likely to have been tested in the past 2 years than women (4535 [84%] of 5381) were (p<0·001). We used Poisson regression models, reporting B coefficients, to test study hypotheses regarding the effects of individual-level and community-level stigma on HIV testing frequency counts. Multilevel modelling showed that women showed significant individual-level (B=-0·173, p<0·001) and community-level (B=-0·223, p<0·001) associations between lower stigma predicting higher rates of HIV testing. For men, lower individual-level perceived stigma was also associated with higher testing frequency (B=-0·030, p=0·018), whereas higher community-level perceived stigma was associated with higher testing frequency (B=0·077, p=0·008).InterpretationOur results suggest that perceived HIV stigma at the community level exerts a differential influence on testing for women and men. HIV testing campaigns that are targeted to men and women in rural Uganda will require gender tailoring to fit local contexts.FundingUS National Institute of Mental Health.

Project description:Understanding and eliminating mental illness stigma is crucial for improving population mental health. In many settings, this stigma is gendered, from the perspectives of both the stigmatized and the stigmatizers. We aimed to find the differences in the level of stigma across different mental disorders while considering the gender of the study participants as well as the gender of the people depicted in the vignettes. This was a population-based, experimental vignette study conducted in Buyende District of Eastern Uganda in 2023. We created 8 vignettes describing both men and women with alcohol use disorder, major depressive disorder, generalized anxiety disorder, and schizophrenia consistent with DSM-5 criteria. Participants from 20 villages in rural Buyende District of Uganda (N=379) were first read a randomly selected vignette and administered a survey eliciting their attitudes (Personal Acceptance Scale [PAS] and Broad Acceptance Scale [BAS]) towards the person depicted in the vignette. We used analysis of variance (ANOVA) with Bonferroni-adjusted, empirical p-values to compare levels of acceptance across disorders and genders. Attitudes towards people with mental illness, as measured by the PAS, varied across different mental disorders (p=0.002). In pairwise mean comparisons, the greater acceptance of anxiety disorder vs. schizophrenia was statistically significant (Mean [SD] PAS: 2.91 [3.15] vs 1.62 [1.95], p=0.008). Secondary analyses examining differences in acceptance across gender combinations within mental disorders showed that PAS varied across gender combinations for depression (p=0.017), suggesting that acceptance is higher for women with depression than men with depression. In this population-based vignette study from rural Uganda, we found that people with schizophrenia were less accepted compared to people with anxiety disorders. We also found that there was greater acceptance of women with depression than men with depression. Anti-stigma initiatives may need to be targeted to specific disorders and genders.

Project description:Depression is a leading cause of disability worldwide, and has been found to be a consistent correlate of socioeconomic status (SES). The relative deprivation hypothesis proposes that one mechanism linking SES to health involves social comparisons, suggesting that relative SES rather than absolute SES is of primary importance in determining health status. Using data from a whole-population sample of 1,620 participants residing in rural southwestern Uganda, we estimated the independent associations between objective and subjective relative wealth and probable depression, as measured by the depression subscale of the Hopkins Symptom Checklist (HSCLD). Objective relative wealth was measured by an asset index based on information about housing characteristics and household possessions, which was used to rank study participants into quintiles (within each village) of relative household asset wealth. Subjective relative wealth was measured by a single question asking participants to rate their wealth, on a 5-point Likert scale, relative to others in their village. Within the population, 460 study participants (28.4%) screened positive for probable depression. Using Poisson regression with cluster-robust error variance, we found that subjective relative wealth was associated with probable depression, adjusting for objective relative wealth and other covariates (adjusted relative risk [aRR] comparing lowest vs. highest level of subjective relative wealth = 1.90, 95% confidence interval [CI]: 1.18, 3.06). Objective relative wealth was not associated with probable depression (aRR comparing lowest vs. highest quintile of objective relative wealth = 1.09, 95% CI: 0.77, 1.55). These results suggest that, in this context, subjective relative wealth is a stronger correlate of mental health status compared with objective relative wealth. Our findings are potentially consistent with the relative deprivation hypothesis, but more research is needed to explain how relative differences in wealth are (accurately or inaccurately) perceived and to elucidate the implications of these perceptions for health outcomes.

Dataset Information

The social network context of HIV stigma: Population-based, sociocentric network study in rural Uganda.

Publications

The social network context of HIV stigma: Population-based, sociocentric network study in rural Uganda.

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