Background
Research on HIV/AIDS-related stigma and discrimination has found significant associations between high stigma environments and negative health outcomes. High levels of self-reported stigma have been reported to strongly correlate with depressive and psychosocial symptoms [
1‐
4], treatment non-adherence [
1,
3,
4], low community-level and individual-level HIV testing behaviors [
5,
6], non-disclosure of HIV status [
7], low social support [
8,
9], employment barriers [
10] and low income levels [
8]. The growing science surrounding negative health outcomes and HIV/AIDS-related stigma has justified the need to effectively understand the complexities of these shifting mechanisms and integrate them into HIV prevention, treatment, and care programs to innovate efforts to reduce the progression of the HIV pandemic as defined in the 2025 UNAIDS AIDS Targets [
11].
There has been substantial research on HIV/AIDS-related stigma among PLWH [
12‐
15] and key-populations with concentrated epidemics [
16‐
19], however there has been less population-level research evaluating HIV/AIDS-related stigma across national contexts with varied HIV prevalence [
20‐
23]. To understand these diverse HIV/AIDS epidemics it is necessary to evaluate the relationship between HIV prevalence and self-reported HIV-stigma among people living with, and without, HIV as well as the mechanisms that influence it. People living without HIV, often in positions of power in a society, can perpetuate stigma in various forms. Stigma can manifest via prejudice, stereotypes, discriminatory attitudes, and stigmatizing behaviors, which operate together to maintain societal level stigma [
14,
24]. These manifestations could be derived from fear of seroconversion or ideas of death [
22,
24] or rooted behind a lack of HIV/AIDS knowledge [
21] among people living without HIV. Conversely, PLWH can experience stigma through different manifestations: enacted, or experienced stigma, anticipated stigma, and internalized and perceived stigma [
14,
24].
Manifestations of HIV/AIDS-related stigma and discriminatory attitudes have been found to differ between countries with high and low/middle HIV prevalence [
20,
21]. Genberg et al. compared negative attitudes and perceived acts of discrimination towards PLWH in four countries. They reported the highest negative attitudes towards PLWH were found in the lowest HIV prevalence countries [
21], however the objectives of this study did not include the evaluation of experienced or internalized HIV stigma mechanisms. Additionally, this study only evaluated a small sample of communities in Tanzania, Zimbabwe, South Africa, and northern Thailand, thus cannot provide insight on nationally representative HIV-related stigma data compared to HIV prevalence. Du et al. furthered this understanding by comparing country-level HIV prevalence with country-level and individual level stigma in 42 countries, suggesting that national HIV prevalence has an impact on individual-level attitudes toward PLWH [
20]. These two studies highlight the importance of considering the magnitude of each countries HIV epidemic distinctly to design efficient policies and interventions.
Du et al. was one of the first studies to further evaluate the mechanisms involved between a higher national HIV prevalence and its negative association with HIV stigma. The researchers hypothesized that countries with high HIV prevalence are more likely to use resources in promotion of HIV education, as well as laws and policies created to address HIV misconceptions and stigma. Thus, countries with higher HIV prevalence would be associated with lower levels of HIV-related stigma. The study also found that HIV prevalence was positively associated with HIV knowledge and AIDS-related spending. However, as potential mediators, they found that HIV knowledge, but not AIDS spending, negatively predicted HIV-related stigma [
20]. The study is limited by a single-item measure of stigma, which hindered their ability to capture a comprehensive understanding of all types of stigma, including the above three mechanisms PLWH experience stigma [
14,
24]. Furthermore, the authors only used country-level HIV prevalence, which could hide the heterogeneity of HIV burden within countries. In fact, in Sub-Saharan Africa, HIV prevalence varies significantly within national borders. Between 2015 and 2017, adult HIV national prevalence was 4.9% (subnational prevalence ranging from 0 to 11%) in Tanzania, 12% (subnational prevalence ranging from 6 to 16%) in Zambia and 11% (subnational prevalence ranging from 5 to 18%) in Malawi [
25‐
27]. There is therefore a necessity for further research that can evaluate population-level HIV data and more HIV-related stigma measures at the subnational and individual level.
The rational for evaluating stigma measures at the sub-national are to investigate localized behaviors and social environments. Sub-national levels can provide a greater granularity to the socioeconomic and demographic differences within a country, which may interact with their social environment. For example, if stigma is perpetuated by fear of seroconversion or ideas of death, as mentioned previously [
22,
24], interaction with communities living with HIV impact this fear, thus making it more relevant to evaluate sub-national HIV prevalence rather than national prevalence. Conversely, if sub-national HIV prevalence is higher, PLWH may have a more robust social network that could impact internalized, anticipated, and expressed stigma at this level.
To further understand the association between HIV prevalence and stigma, this study used individual-level stigma measures from three Population-based HIV Impact Assessment (PHIA) surveys, to analyze how HIV-related stigma and discrimination correlate with subnational HIV prevalence in three African countries. In doing so, this article distinguished between the perspectives of self-reported PLWH and people self-reporting not living with HIV. PHIA surveys’ primary objective was to provide population-level assessment of the burden of HIV disease at the national and sub-national level (as defined by census data in each country), and to document the achievement of HIV programs in participating countries [
28]. Detailed results on PHIA primary and secondary objectives, including on testing and knowledge of HIV status, can be found in countries’ PHIA survey respective reports [
25‐
27].
Results
Descriptive statistics
Overall, a sample of 31,173 people not living with HIV and 3,838 PLWH were included in the study. Table
2 presents socio-demographic characteristics of the sample.
Table 2
Samples characteristics and country-level indices
| People living without HIV |
Stigmatizing behavior | 14.7 | [13.7,15.8] | 6.0 | [5.4,6.6] | 16.5 | [15.5,17.5] | 14.2 | [13.5,14.9] |
Discriminatory attitude | 10.4 | [9.6,11.2] | 6.3 | [5.8,6.9] | 11.6 | [10.9,12.4] | 10.4 | [9.9,10.9] |
Prejudice | 16.6 | [15.7,17.7] | 13.3 | [12.5,14.1] | 14.9 | [14.3,15.5] | 14.9 | [14.4,15.3] |
Age |
15–24 years | 37.1 | [35.8,38.4] | 36.5 | [35.1,37.9] | 31.0 | [30.2,31.7] | 33.1 | [32.5,33.7] |
25–34 years | 36.2 | [35.0,37.4] | 36.5 | [35.2,37.7] | 38.2 | [37.4,39.0] | 37.5 | [36.9,38.1] |
35–44 years | 20.9 | [20.0,21.9] | 20.6 | [19.6,21.6] | 23.8 | [23.0,24.5] | 22.7 | [22.1,23.2] |
45 years + | 5.8 | [5.4,6.3] | 6.5 | [5.8,7.2] | 7.1 | [6.7,7.6] | 6.8 | [6.4,7.1] |
Sex |
Female | 55.2 | [54.3,56.2] | 56.7 | [55.5,58.0] | 56.0 | [55.2,56.7] | 56.0 | [55.4,56.5] |
Male | 44.8 | [43.8,45.7] | 43.3 | [42.0,44.5] | 44.0 | [43.3,44.8] | 44.0 | [43.5,44.6] |
Education |
Less than primary | 5.6 | [4.8,6.6] | 8.4 | [7.6,9.2] | 11.6 | [10.9,12.4] | 10.0 | [9.4,10.5] |
Primary | 38.7 | [37.1,40.4] | 59.5 | [57.9,61.2] | 59.2 | [58.2,60.3] | 55.7 | [54.9,56.5] |
Secondary level or higher | 55.6 | [53.7,57.6] | 32.1 | [30.4,33.8] | 29.1 | [27.9,30.4] | 34.4 | [33.5,35.3] |
Wealth quintile |
Lowest | 15.7 | [14.4,17.1] | 15.9 | [14.6,17.2] | 16.7 | [15.0,18.5] | 16.4 | [15.3,17.5] |
Second | 17.7 | [16.5,19.0] | 17.9 | [16.6,19.2] | 18.7 | [17.3,20.2] | 18.4 | [17.4,19.4] |
Middle | 19.9 | [18.4,21.5] | 19.5 | [18.3,20.8] | 19.8 | [18.6,21.0] | 19.8 | [18.9,20.6] |
Fourth | 21.4 | [19.7,23.3] | 21.3 | [19.9,22.7] | 21.4 | [19.7,23.2] | 21.4 | [20.2,22.6] |
Highest | 25.3 | [23.2,27.5] | 25.5 | [23.7,27.3] | 23.4 | [21.7,25.3] | 24.1 | [22.9,25.4] |
Urban Area |
No | 54.5 | [51.6,57.4] | 79.4 | [76.9,81.6] | 59.1 | [55.9,62.3] | 62.1 | [59.9,64.3] |
Yes | 45.5 | [42.6,48.4] | 20.6 | [18.4,23.1] | 40.9 | [37.7,44.1] | 37.9 | [35.7,40.1] |
Subnational HIV prevalence |
Low | 5.8 | [5.0,6.8] | 37.6 | [35.6,39.5] | 66.1 | [64.0,68.1] | 50.1 | [48.6,51.6] |
Mid | 31.8 | [29.8,33.9] | 22.2 | [20.4,24.2] | 29.1 | [27.2,31.2] | 28.3 | [27.0,29.7] |
High | 62.3 | [60.2,64.4] | 40.2 | [38.3,42.1] | 4.8 | [4.0,5.7] | 21.6 | [20.7,22.5] |
Total | 6394 | 6005 | 18,774 | 31,173 |
| People living with HIV |
Internalised stigma | 15.7 | [13.5,18.1] | 11.5 | [9.4,14.0] | 14.0 | [11.5,17.0] | 13.8 | [12.4,15.3] |
Experienced discrimination | 1.6 | [1.1,2.3] | 1.5 | [1.0,2.1] | 2.6 | [1.6,4.1] | 2.0 | [1.5,2.5] |
Anticipated stigma | 10.4 | [9.0,12.1] | 5.5 | [4.5,6.7] | 12.4 | [10.1,15.1] | 9.7 | [8.6,10.9] |
Age |
15–24 years | 9.5 | [8.2,11.0] | 8.1 | [6.7,9.6] | 10.6 | [8.5,13.2] | 9.5 | [8.4,10.7] |
25–34 years | 31.7 | [29.6,33.9] | 32.4 | [29.9,35.1] | 29.2 | [26.0,32.6] | 30.9 | [29.3,32.6] |
35–44 years | 43.3 | [41.1,45.6] | 43.1 | [40.6,45.7] | 43.2 | [39.8,46.6] | 43.2 | [41.5,44.9] |
45 years + | 15.5 | [13.9,17.2] | 16.4 | [14.5,18.4] | 17.0 | [14.5,19.9] | 16.3 | [15.1,17.7] |
Sex |
Female | 67.5 | [65.3,69.6] | 67.4 | [64.9,69.8] | 73.3 | [70.3,76.1] | 69.7 | [68.2,71.2] |
Male | 32.5 | [30.4,34.7] | 32.6 | [30.2,35.1] | 26.7 | [23.9,29.7] | 30.3 | [28.8,31.8] |
Education |
Less than primary | 5.2 | [4.2,6.3] | 12.6 | [10.9,14.4] | 15.7 | [13.4,18.3] | 11.5 | [10.4,12.8] |
Primary | 38.5 | [36.1,41.1] | 64.6 | [62.2,66.9] | 70.4 | [67.2,73.5] | 58.9 | [57.2,60.6] |
Secondary level or higher | 56.3 | [53.5,59.1] | 22.8 | [20.8,25.0] | 13.9 | [11.5,16.7] | 29.5 | [27.9,31.2] |
Wealth quintile |
Lowest | 8.2 | [6.8,9.9] | 16.2 | [14.0,18.8] | 12.8 | [10.5,15.6] | 12.5 | [11.2,13.9] |
Second | 11.7 | [9.8,13.9] | 17.0 | [14.9,19.3] | 19.0 | [16.0,22.5] | 16.2 | [14.7,17.8] |
Middle | 19.7 | [17.4,22.1] | 18.2 | [16.2,20.3] | 26.8 | [23.2,30.7] | 22.0 | [20.3,23.9] |
Fourth | 28.2 | [25.2,31.5] | 22.2 | [19.8,24.9] | 23.4 | [20.3,26.8] | 24.5 | [22.8,26.3] |
Highest | 32.2 | [28.5,36.1] | 26.4 | [23.5,29.4] | 17.9 | [14.8,21.6] | 24.8 | [22.9,26.9] |
Urban Area |
No | 37.7 | [34.0,41.6] | 73.8 | [70.5,76.8] | 52.2 | [47.2,57.1] | 54.3 | [51.7,56.9] |
Yes | 62.3 | [58.4,66.0] | 26.2 | [23.2,29.5] | 47.8 | [42.9,52.8] | 45.7 | [43.1,48.3] |
Subnational HIV prevalence |
Low | 2.5 | [1.7,3.6] | 17.6 | [15.1,20.4] | 45.4 | [40.8,50.1] | 23.9 | [21.8,26.1] |
Mid | 20.7 | [18.3,23.3] | 17.2 | [14.9,19.8] | 41.0 | [36.4,45.7] | 27.6 | [25.4,29.9] |
High | 76.8 | [74.1,79.3] | 65.2 | [62.0,68.3] | 13.6 | [10.6,17.3] | 48.5 | [46.2,50.8] |
Total* | 1513 | 1453 | 883 | 3838 |
Among persons not living with HIV, 14% and 10% displayed stigmatizing behavior and discriminatory attitudes, respectively, toward people with HIV. The highest percentage of persons expressing both stigmatizing behavior and discriminatory attitudes was observed in Tanzania (16% and 12%, respectively) and the lowest in Malawi (6%). Overall, 15% of individuals showed some prejudice toward PLWH, with the highest percentage observed in Zambia. Among people self-reporting living with HIV, 14% of PLWH expressed internalized stigma. This ranged from 11% in Malawi to 16% in Zambia. Experienced and anticipated stigma were expressed by 2% and 10% of PLWH in this sample, respectively, with the highest prevalence in Tanzania.
In both seronegative and seropositive groups, women were more represented in our sample (56% and 70%, respectively), people who only attained a primary education were predominant (56% and 59%, respectively), as well as people from the highest wealth quintile (24% and 25% respectively). Age distribution was different between the two groups. Among persons not living with HIV, the 25–34 years age-group was the largest, while those 35–44 years made up the majority of PLWH. Contrary to what is observed among people not living with HIV, the majority (62%) of PLWH lived in urban regions.
Bivariate and multivariable analysis
The bivariate analysis of the association between subnational HIV prevalence and stigma manifestations is shown in Table
3. Among those not living with HIV, we observed that subnational HIV prevalence was negatively significantly associated with stigmatizing behavior, discriminatory attitudes, and prejudice. Compared to participants living in geographic regions with low HIV prevalence, those living in high prevalence regions were less likely to express stigmatizing behavior (OR = 0.55, 90%CI = (0.49–0.62)), discriminatory attitudes (OR = 0.61, 90%CI = (0.53–0.69)) and prejudice (OR = 0.88, 90%CI = (0.80–0.96)). No significant association between HIV prevalence and internalized, experienced, and anticipated stigma expressed by PLWH was found overall, before controlling for demographics. However, in our bivariate analysis by country, there was a significant positive association between subnational prevalence and anticipated stigma in Malawi. Compared to PLWH living in low prevalence regions, those living in middle and high prevalence region had higher odds of reporting anticipated stigma (OR = 4.8, 90%CI = (1.36–16.91) and OR = 5.91, 90%CI = (1.72–20.26) respectively). Among persons not living with HIV, a significant negative association between HIV prevalence and stigma was observed for all the indicators and in all the countries, except for the prejudice measure in Malawi and Tanzania.
Table 3
Association between regional HIV prevalence and type of stigma: Overall and for each country
Overall |
Subnational HIV prevalence: (Low) |
Mid | 0.88 | 0.94 | 1.02 | 0.79 | 1.74 | 1.19 |
(0.78–1.00) | (0.84–1.05) | (0.94–1.11) | (0.53–1.17) | (0.71–4.25) | (0.79–1.77) |
High | 0.55*** | 0.61*** | 0.88** | 1.19 | 0.90 | 0.85 |
(0.49–0.62) | (0.53–0.69) | (0.80–0.96) | (0.87–1.64) | (0.39–2.08) | (0.60–1.19) |
Zambia |
Subnational HIV prevalence: (Low) |
Mid | 1.04 | 1.08 | 0.90 | 0.52 | 0.51 | 1.39 |
(0.81–1.32) | (0.82–1.41) | (0.68–1.18) | (0.26–1.05) | (0.12–2.22) | (0.67–2.87) |
High | 0.64*** | 0.65*** | 0.62*** | 0.81 | 0.28 | 0.95 |
(0.52–0.78) | (0.50–0.85) | (0.48–0.80) | (0.44–1.49) | (0.07–1.17) | (0.47–1.90) |
Malawi |
Subnational HIV prevalence: (Low) |
Mid | 0.93 | 0.91 | 1.06 | 0.95 | 3.34 | 4.80** |
(0.70–1.25) | (0.71–1.16) | (0.91–1.25) | (0.37–2.43) | (0.55–20.34) | (1.36–16.91) |
High | 0.88 | 0.68*** | 0.92 | 2.21 | 3.51 | 5.91** |
(0.69–1.12) | (0.53–0.86) | (0.77–1.10) | (0.93–5.28) | (0.63–19.41) | (1.72–20.26) |
Observations | 9825 | 9809 | 9801 | 8371 | 25,242 | 25,242 |
Tanzania |
Subnational HIV prevalence: (Low) |
Mid | 0.83** | 0.90 | 0.93 | 0.78 | 1.87 | 1.02 |
(0.71–0.97) | (0.78–1.02) | (0.85–1.03) | (0.46–1.32) | (0.63–5.57) | (0.61–1.71) |
High | 0.45*** | 0.61*** | 0.79 | 1.11 | 1.00 | 0.83 |
(0.35–0.58) | (0.49–0.78) | (0.62–1.01) | (0.65–1.89) | (0.23–4.44) | (0.46–1.48) |
Table
4 shows that after controlling for age, sex, education, socioeconomic status, urban region and country fixed-effects, compared to persons living without HIV in low prevalence regions, the odds of expressing stigmatizing behavior were lower for those living in middle (OR = 0.83, 90%CI = (0.73–0.94)) and high (OR = 0.73, 90%CI = (0.64–0.84)) prevalence regions. Similarly, among persons living without HIV, the odds of expressing discriminatory attitudes were lower for those living in middle (OR = 0.89, 90%CI = (0.80–0.99)) and high (OR = 0.67, 90%CI = (0.59–0.77)) prevalence regions compared to low prevalence regions. In addition, those living in high HIV prevalence regions were less likely to express prejudice toward PLWH than those in low prevalence ones (OR = 0.78, 90%CI = (0.70–0.88)).
Table 4
Logistic regression of HIV related stigma among people living without HIV
Age group: (15–24 years) |
25–34 years | 0.67*** | (0.61–0.73) | 0.74*** | (0.68–0.82) | 0.76*** | (0.70–0.83) |
35–44 years | 0.61*** | (0.56–0.67) | 0.62*** | (0.55–0.70) | 0.64*** | (0.59–0.71) |
45 years + | 0.65*** | (0.56–0.74) | 0.58*** | (0.49–0.69) | 0.67*** | (0.58–0.77) |
Sex:(Female) |
Male | 0.90** | (0.83–0.97) | 1.05 | (0.97–1.14) | 1.13*** | (1.06–1.20) |
Education: (Less than primary) |
Primary | 0.50*** | (0.45–0.56) | 0.58*** | (0.52–0.64) | 0.82*** | (0.74–0.91) |
Secondary level or higher | 0.23*** | (0.20–0.26) | 0.32*** | (0.28–0.37) | 0.65*** | (0.57–0.75) |
Wealth quintile: (Lowest) |
Second | 0.82*** | (0.73–0.92) | 0.75*** | (0.66–0.85) | 0.96 | (0.86–1.07) |
Middle | 0.70*** | (0.62–0.79) | 0.66*** | (0.57–0.75) | 0.86* | (0.76–0.98) |
Fourth | 0.54*** | (0.47–0.62) | 0.60*** | (0.51–0.71) | 0.81** | (0.71–0.94) |
Highest | 0.42*** | (0.35–0.50) | 0.51*** | (0.41–0.62) | 0.80** | (0.69–0.94) |
Urban area:(No) |
Yes | 0.84** | (0.73–0.97) | 0.73*** | (0.64–0.84) | 0.75*** | (0.67–0.84) |
Subnational HIV prevalence: (Low) |
Mid | 0.83** | (0.73–0.94) | 0.89* | (0.80–0.99) | 0.94 | (0.86–1.01) |
High | 0.73*** | (0.64–0.84) | 0.67*** | (0.59–0.77) | 0.78*** | (0.70–0.88) |
Proportion with secondary educ. or higher | 1.00 | (0.99–1.01) | 1.01*** | (1.01–1.02) | 1.01*** | (1.01–1.02) |
Proportion in highest wealth quintile | 1.00 | (1.00–1.01) | 1.00 | (0.99–1.00) | 0.99*** | (0.99–1.00) |
Country: (Zambia) |
Malawi | 0.26*** | (0.21–0.33) | 0.58*** | (0.46–0.73) | 0.83* | (0.71–0.98) |
Tanzania | 0.78** | (0.64–0.94) | 1.05 | (0.87–1.26) | 0.93 | (0.80–1.07) |
Table
5 shows that, everything being equal, the odds of expressing internalized stigma is statistically significant, at the 10% level, for PLWH located in high HIV prevalence regions (OR = 1.69, 90%CI = (1.07–2.66)) compared to their peers living in low prevalence ones. Though not significant, we also observed the odds of expressing experienced and anticipated stigma were higher for those living in middle and high HIV prevalence regions compared to those living in low prevalence regions.
Table 5
Logistic regression of HIV related stigma among people living with HIV
Age group: (15–24 years) |
25–34 years | 0.68 | (0.44–1.04) | 0.59 | (0.20–1.77) | 0.82 | (0.53–1.26) |
35–44 years | 0.76 | (0.52–1.13) | 0.48 | (0.18–1.32) | 0.64* | (0.42–0.98) |
45 years + | 0.84 | (0.53–1.33) | 0.56 | (0.18–1.70) | 0.55** | (0.34–0.91) |
Sex:(Female) |
Male | 0.95 | (0.73–1.25) | 1.26 | (0.79–2.00) | 0.94 | (0.68–1.31) |
Education: (Less than primary) |
Primary | 0.66* | (0.45–0.95) | 0.79 | (0.36–1.72) | 0.97 | (0.63–1.50) |
Secondary level or higher | 0.39*** | (0.24–0.63) | 0.71 | (0.30–1.67) | 0.94 | (0.57–1.54) |
Wealth quintile: (Lowest) |
Second | 0.59** | (0.38–0.89) | 0.73 | (0.25–2.16) | 0.79 | (0.45–1.38) |
Middle | 0.63** | (0.43–0.92) | 0.58 | (0.20–1.66) | 0.90 | (0.55–1.47) |
Fourth | 0.68 | (0.44–1.07) | 0.38 | (0.13–1.08) | 1.06 | (0.65–1.72) |
Highest | 0.96 | (0.59–1.58) | 0.84 | (0.30–2.38) | 1.88* | (1.10–3.23) |
Urban area:(No) |
Yes | 0.59** | (0.41–0.87) | 1.33 | (0.72–2.47) | 0.73 | (0.50–1.05) |
Subnational HIV prevalence: (Low) |
Mid | 0.85 | (0.56–1.30) | 1.82 | (0.75–4.43) | 1.45 | (0.92–2.28) |
High | 1.69* | (1.07–2.66) | 1.25 | (0.54–2.91) | 1.49 | (0.87–2.53) |
Proportion with secondary educ. or higher | 0.99 | (0.97–1.02) | 1.01 | (0.96–1.06) | 0.97 | (0.95–1.00) |
Proportion in highest wealth quintile | 1.01 | (0.99–1.02) | 0.99 | (0.96–1.02) | 1.02* | (1.00–1.04) |
Country: (Zambia) |
Malawi | 0.39** | (0.19–0.79) | 1.08 | (0.31–3.70) | 0.25*** | (0.12–0.52) |
Tanzania | 0.76 | (0.44–1.31) | 1.72 | (0.52–5.72) | 0.88 | (0.48–1.61) |
The analysis, when considering the nested structure of the data (Tables A
1 and A
2), shows very similar results. The odds of expressing stigmatizing behavior towards PLWH was significantly lower for persons not living with HIV living in middle (OR = 0.80, 90%CI = (0.68–0.96)) and high (OR = 0.65, 90%CI = (0.53–0.80)) prevalence regions compared to low prevalence ones. Compared to individuals living in low prevalence region, the odds of expressing discriminatory attitudes were lower for those living in middle (OR = 0.87, 90%CI = (0.78–0.98)) and high (OR = 0.64, 90%CI = (0.56–0.73)) prevalence regions. Similarly, living in middle and high prevalence regions was associated with lower odds of expressing prejudice toward PLWH (OR = 0.84, 90%CI = (0.71–0.99) and OR = 0.60, 90%CI = (0. 0.45–0.80) respectively). PLWH living in high prevalence regions were significantly more likely to expressed internalized stigma (OR = 1.48, 90%CI = (1.02–2.14).
Regarding the control variables, we observed that among participants not living with HIV, older groups (25 + years) expressed fewer stigmatic attitudes compared to those younger (15–24 years). Similarly, more educated and wealthier people not living with HIV expressed fewer stigmatic attitudes compared to those reporting less education and wealth. Living in urban areas was associated with lower odds of expressing stigmatic attitudes. There was no significant difference between men and women for all outcomes, except stigmatizing behavior. The higher the proportion of individuals with secondary, or greater, education in a region, the higher the odds people expressed discriminatory attitudes and prejudice toward PLWH. Conversely, the higher the proportion of people in the highest wealth quintile in a region, the lower the odds people expressed discriminatory attitudes and prejudice.
Among PLWH, a similar relationship was observed regarding age, education, urban location, and wealth quintile for internalized stigma, though the relationship is in some of the cases non-significant. For anticipated stigma, only some older age-groups (35–44 and 45 + years) expressed significantly less stigma, while people from the fifth wealth quintile expressed more stigma compared to those with less wealth.
A sensitivity analysis using a continuous variable of subnational HIV prevalence is presented in the annex (Tables A
3 and A
4) and shows similar results: subnational HIV prevalence was negatively associated with stigmatizing behavior (OR = 0.96, 90%CI = (0.95–0.98)), discriminatory attitudes (OR = 0.96, 90%CI = (0.95–0.98)), and prejudice (OR = 0.98, 90%CI = (0.96–0.99)) of persons not living with HIV toward PLWH. There was a positive association with internalized stigma (OR = 1.06, 90%CI = (1.01–1.11)) expressed by PLWH. A positive, but non-significant, association between subnational HIV prevalence and experienced and anticipated stigma experienced or expressed by PLWH was found.
Discussion
The aim of this paper was to assess the relationship between HIV prevalence and stigma, distinguishing between the perspectives of PLWH and persons not living with HIV in three African countries to account for heterogeneity of HIV burden. We found that subnational HIV prevalence was negatively associated with stigmatizing behavior, discriminatory attitudes, and prejudice toward PLWH among those not living with HIV. On the other hand, HIV prevalence appeared to be positively associated with internalized stigma expressed by self-reported PLWH. No significant association was found between experienced and anticipated stigma expressed by PLWH and sub-national HIV prevalence.
The negative association between HIV prevalence and stigma observed among persons not living with HIV is similar to the relationship established in the general population in previous cross-national studies [
20,
21]. Du et al. [
20], who work on mediation, found that two main elements explained such results. First, the amount of funding invested in high prevalence contexts. In these areas, more resources are invested in the promotion of laws and policies against stigma. Second, knowledge about HIV: in high prevalence contexts, more people are exposed to education and knowledge related to HIV, which might explain the lower stigma toward PLWH.
The positive relationship we found between HIV prevalence and internalized stigma among PLWH highlights the limitations of assessing the association between the two elements in a general population, as results can be heavily driven by persons not living with HIV. The necessity to characterize the relationship between HIV prevalence and stigma in the population of PLWH was already underlined by Du et al. [
20], though to the best of our knowledge this is the first to do so, especially at the sub-national level. It is also important to note that consequences of stigma are not the same for people living without, versus with, HIV [
14,
24].
Literature has shown that fear of death and seroconversion is one reason that might lead individuals to express forms of stigma [
22]. Our results among PLWH could be explained by the fact that this group has continued to associate HIV with death, suffering, and shame, and think persons not living with HIV feel similarly. In high prevalence regions, individuals could have more frequent contact with PLWH, hence PLWH might think that this fear is higher and thus express more internalized stigma. The results show that internalized stigma was not necessarily a direct response to stigmatizing behavior and discriminatory attitudes by persons not living with HIV. Furthermore, the absence of a relationship between HIV prevalence and experienced stigma underlines the fact that internalized stigma expressed by PLWH might not be a direct response to experienced stigma. These results align with the discussion presented by Pantelic et al. [
32] that internalized HIV stigma may occur without the person having individually experienced discrimination, but rather PLWH can develop HIV-related perceptions, and feel HIV-related stigma, prior to their own diagnosis. Future mixed method research should further explore the relationship between HIV prevalence and stigma expressed by PLWH to understand the underlining mechanisms.
This study has some limitations. First, the PHIA questionnaire used is not the standardized measure used to capture internalized stigma as defined as a situation in which a person living with HIV endorses negative attitudes associated with HIV and accepts them as applicable to themselves [
32]. Even though the items used to measure internalized stigma in this work reflect the definition of internalized stigma provided by Earnshaw and Chaudoir [
14] and Stangl et al. [
24], they were designed to be addressed to the general population rather than specifically to PLWH. Our analysis would benefit by being replicated using a tested measure of internalized stigma design specifically for PLWH to assess if the results found here are persistent. Secondly, although we used multiple items to measure stigma, we were not able to capture all dimensions of HIV-stigma mechanisms. For example, we were not able measure perceived stereotypes, defined as misconceptions that only individuals from some groups can acquire HIV, which is also an important mechanism of stigma among persons not living with HIV with important health-related consequences [
14,
24]. Third, although the current study included various types of stigma experiences and stigmatizing practices, many of those constructs were measured using only one item, which could significantly bias results. Future studies should leverage multiple indicators to measure each manifestation of stigma. Finally, due to data availability, the number of countries included in this analysis was limited. Future research should be replicated on larger number of countries with varied HIV contexts.
Conclusions
This study demonstrated that subnational HIV prevalence had a negative association with stigmatizing behavior, discriminatory attitudes, and prejudice among people not living with HIV towards PLWH, but that HIV prevalence was positively associated with internalized stigma among PLWH. Notably, there was no association between experienced and anticipated stigma expressed by PLWH and HIV prevalence. This indicates that with an increase in HIV prevalence, different aspects of stigma are more impacted on a sub-national level than others, regardless of population sociodemographic factors.
The results of this study have some important policy implications. First, it shows that policies put in place in high prevalence countries to reduce stigma [
33] have demonstrated success and should continue and be extended to low prevalence contexts. In fact, though the number of PLWH in this latter context may be low, adverse consequences of stigma [
1‐
5] for people living in those communities may be more pronounced. Additionally, policies put in place to reduce stigma in high prevalence contexts should also target PLWH and address explicitly the issues of internalized stigma, as this can have very deleterious consequences both in terms of mental and physical health, social support and socioeconomic status [
8,
10,
14,
24].
This study contributes to the existing literature in many ways. First, to the best of our knowledge it is the first study to assess the link between HIV prevalence and HIV-related stigma distinguishing between the perspective of PLWH and persons not living with HIV from nationally representative data. Second, the study used multiple items to capture the stigma mechanisms suggested by the conceptual work of Earnshaw and Chaudoir [
14] and Stangl et al. [
24]. Third, contrary to other cross-country analyses, this paper measures HIV prevalence at a subnational level, which allows to account for heterogeneity inside countries, highlighting that people are also influenced by more localized HIV prevalence. Using recent data to contribute to the literature on the link between HIV prevalence and stigma, this paper provides direction on where and how resources should be invested to reduce HIV related stigma and mitigate its potential effects for future populations.
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