Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2018 Aug 1.
Published in final edited form as: J Acquir Immune Defic Syndr. 2017 Aug 1;75(4):399–407. doi: 10.1097/QAI.0000000000001418

Community-level HIV stigma as a driver for HIV transmission risk behaviors and sexually transmitted diseases in Sierra Leone: a population-based study

J Daniel Kelly a, Michael J Reid a, Maureen Lahiff b, Alexander C Tsai c,d,e, Sheri D Weiser f
PMCID: PMC5524569  NIHMSID: NIHMS866667  PMID: 28406807

Abstract

Introduction

While HIV stigma has been identified as an important risk factor for HIV transmission risk behaviors, little is known about the contribution of community-level HIV stigma to HIV transmission risk behaviors and self-reported sexually transmitted diseases (STDs), or how gender may modify associations.

Methods

We pooled data from the 2008 and 2013 Sierra Leone DHS. For HIV stigma, we examined HIV stigmatizing attitudes and HIV disclosure concerns at both individual and community levels. Outcomes of HIV transmission risk behaviors were recent condom usage, consistent condom usage, and self-reported STDs. We assessed associations with multivariable logistic regressions. We also analyzed gender as an effect modifier of these associations.

Results

24,030 (69.5%) of 34,574 respondents who had heard of HIV were included in this analysis. Community-level HIV stigmatizing attitudes and disclosure concerns were associated with higher odds of self-reported STDs, respectively (AOR=2.07; 95%CI, 1.55–2.77; AOR=2.95; 95%CI, 1.51–5.58). Compared to men, community-level HIV stigmatizing attitudes among women were a stronger driver of self-reported STDs (interaction p=0.07). Gender modified the association between community-level HIV disclosure concerns and both recent and consistent condom usage (interaction p=0.03 and p=0.002, respectively). Community-level HIV disclosure concerns among women were observed to be a driver of risky sex and self-reported STDs.

Conclusions

This study shows that community-level HIV stigma may be a driver for risky sex and self-reported STDs, particularly among women. Our findings suggest that community-held stigmatizing beliefs and HIV disclosure concerns among women might be important targets for HIV stigma reduction interventions.

Keywords: Community-level HIV stigma, HIV transmission risk behaviors, sub-Saharan Africa, population-based, gender-specific effect modifications, Sierra Leone

Introduction

Thirty years into the HIV epidemic, people living with HIV/AIDS still face widespread HIV stigma and discrimination.13 HIV stigma drives inequitable access to HIV care and sub-optimal outcomes in both HIV treatment and prevention.47 Although there has been considerable progress towards implementation of HIV stigma and discrimination interventions,8 over 50% of men and women report having discriminatory attitudes towards people living with HIV.9 Ending the HIV epidemic will require that governments prioritize identifying effective HIV stigma reduction strategies for their HIV national responses.

Conceptual framework

From a socio-behavioral perspective, HIV stigma has the potential to manifest with stigmatizing attitudes and/or disclosure concerns in the general population.1012 Gilmore and Somerville described stigmatizing attitudes as HIV risk perception differences of ‘them’ and ‘us’ based on a response to threats of values.13 These risk perceptions differences can shape how individuals form stigmatizing attitudes, and the sum of these individuals’ stigmatizing attitudes form the norms of the community.14 Steward and his colleagues adapted a model of hidden distress first described by Scambler to illustrate how discrimination and hostility against HIV-infected persons can lead to behavioral modifications such as serostatus disclosure concerns.15,16 Both individual- and community-level stigma can influence behavior modifications,17 and these stigmatizing attitudes and/or disclosure concerns may be adapted differently by populations based on gender or educational level.11,18,19

There is a growing body of literature about the influence of normative beliefs on health behaviors and outcomes.2022 By condemning HIV-infected people, people who are uninfected or not aware of their HIV status are more likely to feel protected and less likely to engage in risk-reduction strategies.17 As a result, instrumental fears about casual transmission, negative attitudes toward people living with HIV, and anticipated stigma are associated, at the individual level, with HIV transmission risk behaviors and failure to link to HIV treatment.2325,6,19,26 In addition, normative beliefs and anticipated stigma of HIV-infected women have been associated with worse HIV prevention and treatment outcomes,27,28 but little is known about gender-specific associations between HIV stigma in the general population and transmission risk behaviors.11 Several studies have shown that normative beliefs in the community related to stigmatizing attitudes and disclosure concerns (community-level HIV stigma) can negatively impact individual behaviors.23,2932 Less is known about the associations between HIV transmission risk behaviors and stigma when measured at the community level.11,33,34 This is an important gap in the literature because HIV stigma is not simply a matter of individual belief, but norms within the community about HIV and about persons living with HIV can also affect HIV-related behaviors as well.

To address these gaps in the literature and to inform ongoing HIV prevention interventions in Sierra Leone, we pooled data from the 2008 and 2013 Sierra Leone Demographic and Health Surveys (DHS) to test hypotheses about individual- and community-level HIV stigma and their impact on HIV transmission risk behaviors and self-reported STDs. We hypothesized that individual-level HIV stigmatizing attitudes and disclosure concerns are associated with lower odds of condom usage and higher odds of self-reported STDs. Independent of individual-level HIV stigma, we hypothesized that community-level HIV stigmatizing attitudes and disclosure concerns are also associated with lower odds of condom usage and higher odds of self-reported STDs. Lastly, we hypothesized that gender modify these associations.

Methods

Data

This cross-sectional study used data collected by Statistics Sierra Leone in collaboration with the Ministry of Health and Sanitation for the 2008 and 2013 Sierra Leone DHS. Data were pooled to ensure sufficient statistical power for a community-level analysis. We assessed whether the association between stigma and HIV risk was modified by year of DHS and found no statistically significant interaction. Each DHS employed a stratified, two-stage cluster sampling approach to the country’s population. All women age 15–49 who permanently lived in selected households or slept in the household on the night before the survey were eligible to be interviewed. In one-half of the study households, men age 15–59 who also had the same living situation as women were eligible to be interviewed. Overall, the response rate in 2008 was greater than 92% while the response rate in 2013 exceeded 96%.

Questions on self-reported HIV transmission risk behaviors (i.e., condom use at last sexual intercourse, consistent condom use) and self-reported STDs were administered only to study participants who were sexually active, and stigma questions were administered only to study participants who reported having heard of HIV. Therefore, only study participants who had ever heard of HIV and were sexually active were included in the analyses (and only responses from those study participants who had ever heard of HIV were used to construct aggregated stigma variables). In the DHS, the primary geographic unit of aggregation is the primary sampling unit (PSU), which represents a village or cluster of villages in rural areas and a ward or residential neighborhood in urban areas. Each PSU formed a clustered unit of analysis. Additional information about field staff training and data collection procedures is detailed in the 2008 and 2013 Sierra Leone DHS report.35,36

Measures

The primary outcomes were as follows: recent condom use, defined as “having used a condom at last sexual intercourse”; consistent condom use, defined as “having used a condom at every sexual intercourse over last 12 months”; and self-reported history of sexually transmitted disease (STD), defined as “having had any STD in the last 12 months.” Responses were scored as a binary variable (yes/no) and reported as separate outcomes.

Our primary explanatory variable measured HIV stigmatizing attitudes as a 3-item scale. The variable assessed social distance and was elicited by asking whether respondents “are not willing to care for a family member with the AIDS virus in the respondent’s home,” “would not buy fresh vegetables from shopkeeper who has the AIDS virus,” and/or “say that a teacher with the AIDS virus and is not sick should not be allowed to continue teaching.” All responses were scored as a binary variable (yes/no). The HIV stigmatizing attitudes scale was defined as the sum of affirmative responses, with a maximum score of three and minimum score of zero. This scale was reported at the individual-level. The estimated Cronbach’s alpha for the scale was 0.63, indicating an acceptable degree of internal consistency. Our secondary explanatory variable measured HIV disclosure concerns. The variable was 1-item and was elicited by asking respondents “if a member of your family got infected with the AIDS virus, would you want it to remain a secret or not?” Responses were scored on a binary (yes/no) scale, and affirmative responses described respondents who had HIV disclosure concerns.

Individual responses to the explanatory variables were aggregated by PSU to construct community-level explanatory variables for HIV stigmatizing attitudes and HIV disclosure concerns. Herein, we use the term “community-level” to refer to this level of analysis. Thus, the two community-level variables were measured by averaging the scores of all participants in each participant’s PSU (excluding the index participant), and the community-level variables represent the mean level of HIV stigmatizing attitudes, and the proportion of people with HIV disclosure concerns, among other people in the index participant’s village.

Statistical Analysis

We pooled data from the 2008 and 2013 Sierra Leone DHS. We then used last condom usage, consistent condom usage, and self-reported STDs as the dependent variables and HIV stigmatizing attitudes and disclosure concerns at the individual and community levels as predictor variables. Given that the attitudes and behaviors of individuals can collectively form the norms of a society, it was reasonable to expect a some correlation between individual- and community-level stigma. We used variance inflation factors (VIFs) to check for collinearity and the VIFs indicated that, even though there is some correlation between the stigma measures at the individual and community levels, there is no collinearity.

Using our conceptual model and relevant literature, we identified several potential confounders of the associations between stigma and outcomes of interest, including age, gender, marital status, residence, household headship, wealth index, and educational level.11,33,34,37,38 In multivariable logistic regression models, we adjusted these estimates for the potential confounders. We used the survey data provided by ICF Macro to account for survey weights, clustering and stratification so that our standard errors and findings were nationally representative.

Based on the conceptual framework and literature,11,33,34,38 we hypothesized that gender modify the effects of HIV stigmatizing attitudes and disclosure concerns at the individual and community level on the outcomes. We included product terms between gender and the stigma variables to test for effect modification by gender. Additional analyses were done to test for effect modification by urban vs. rural residence. Analyses were conducted in STATA/IC 13.1 (StataCorp L.P., College Station, Texas).

Ethics Statement

The data collection procedures for the DHS were approved by the ICF Macro Institutional Review Board and the Sierra Leone Ministry of Health. All participants verbally consented to participate in the study.

Results

30,702 of 34,574 (89%) respondents had heard of HIV and 26,520 of 34,574 (77%) respondents were sexually active. In total, 24,030 (70%) of 34,574 respondents who had heard of HIV and were sexually active (Table 1) were included in this analysis. The median age was 30 years (IQR, 22–38), and most (71%) were married or had a partner. The majority (53%) had no education. The study participants lived in 348 villages (median number study participants per village, 70; IQR, 53–84).

Table 1.

Socio-demographic characteristics of respondents who had heard of HIV and were sexually active (n=24,030)

N (%)* or mean (95% CI)
Characteristics
Age (in years) 30.8 (30.6–31.0)
Gender
 Male 7,897 (33.1)
 Female 16,133 (66.9)
Current marital status
 Never married 6,172 (24.8)
 Married or partnered 16,742 (70.5)
 Widowed, divorced, or separated 1,116 (4.7)
Highest educational level
 No education 12,421 (53.3)
 Primary 3,005 (12.4)
 Secondary 7,429 (29.4)
 Higher 1,175 (4.9)
Interviewed household head 6,305 (26.1)
Wealth index
 Poorest 4,022 (17.3)
 Poorer 3,723 (17.2)
 Middle 4,160 (18.4)
 Richer 5,668 (20.2)
 Richest 6,457 (26.8)
*

N refers to the raw number of observations, while the % refers to the survey-weighted percentage (not the raw percentage)

The household asset wealth index is calculated by applying principal components analysis to a set of household possessions and housing characteristics. The index is then defined as the first principal component extracted from the principal components analysis and used to categorize participants into quintiles of household asset wealth. Further details on the construction of the asset index can be found in Filmer D, Pritchett LH. Demog 2011;38:115–132.

Very few (6%) used a condom at last sexual intercourse, or reported consistent condom use (4%) (Table 2). About one-tenth (11%) self-reported an STD in the last twelve months. Two-thirds (66%) endorsed at least one item of the HIV stigmatizing attitudes scale, and about half (51%) had HIV disclosure concerns. The mean score on the HIV stigmatizing attitudes scale across all study participants was 1.23 (95% CI, 1.18–1.28). The mean score on the HIV stigmatizing attitudes scale across all villages was 1.28 (95% CI, 1.25–1.33), and the mean score on HIV disclosure concerns across all villages was 0.51 (95% CI, 0.49–0.53).

Table 2.

Summary statistics of HIV stigmatizing attitudes, HIV disclosure concerns, and HIV transmission risk behaviors for men and women who had heard of HIV and were sexually active

Total (n=24,030)
N (%)* or mean (95% CI)
Men (n=7,897)
N (%) or mean (95% CI)
Women (n=16,133)
(%) or mean (95% CI)
HIV stigmatizing attitudes
Endorsed at least one stigmatizing attitude 15,607 (66.0) 4,971 (62.9) 10,636 (65.9)
Mean score of HIV stigmatizing attitudes scale 1.23 (1.18–1.28) 1.05 (0.99–1.11) 1.32 (1.26–1.37)
 Not willing to care for relative with HIV 5,089 (22.1) 1,082 (13.7) 4,007 (24.8)
 Person with HIV not allowed to continue teaching 10,383 (44.3) 2,970 (37.6) 7,413 (45.9)
 Would buy vegetables from vendor with HIV 13,442 (56.7) 4,201 (53.2) 9,241 (57.3)
HIV disclosure concerns
Endorsed a desire to keep HIV-status of family a secret 12,512 (51.0) 4,137 (52.3) 8,375 (51.9)
HIV transmission risk behaviors
Used a condom at last sexual intercourse 1,527 (6.4) 938 (11.9) 589 (3.7)
Used a condom at every sexual intercourse 972 (4.1) 626 (7.9) 346 (2.1)
Having had any STD 2,627 (10.9) 756 (9.6) 1,871 (11.6)
*

N refers to the raw number of observations, while the % refers to the survey-weighted percentage (not the raw percentage)

The HIV stigmatizing attitudes scale was generated by summing the total number of responses to three questions about persons with HIV, with responses indicating a negative view of persons with HIV coded to equal “1”. The scale ranges from 0–3, with higher values indicating a greater degree of stigma.

Associations of HIV stigmatizing attitudes and disclosure concerns with HIV transmission risk behaviors and self-reported STDs

In unadjusted analyses, HIV stigmatizing attitudes at the individual level were associated with lower odds of recent and consistent condom usage (Table 3). After multivariable adjustment, individual-level HIV stigmatizing attitudes remained significantly associated with lower odds of recent and consistent condom usage, respectively (adjusted odds ratio [AOR]=0.89; 95% CI, 0.82–0.96; and AOR=0.83; 95% CI, 0.76–0.92). Community-level HIV stigmatizing attitudes were significantly associated with higher odds of self-reported STDs (AOR=2.07; 95% CI, 1.55–2.77).

Table 3.

Unadjusted and adjusted associations between HIV stigma and recent condom usage, consistent condom usage, and self-reported STDs

Recent condom usage Recent condom usage Consistent condom usage Consistent condom usage Self-reported STDs Self-reported STDs
Unadjusted OR (95% CI) Adjusted OR (95% CI) Unadjusted OR (95% CI) AdjustedOR (95% CI) Unadjusted OR (95% CI) AdjustedOR (95% CI)
Self-reported stigma/disclosure concerns
Stigmatizing attitudes (individual) 0.69 (0.64–0.75)*** 0.88 (0.81–0.96)** 0.63 (0.56–0.70)*** 0.83 (0.75–0.91)*** 1.07 (0.99–1.14) 1.04 (0.98–1.12)
Stigmatizing attitudes (community) -- 1.01 (0.78–1.31) -- 0.95 (0.66–1.38) -- 2.07 (1.55–2.77)***
Disclosure concerns (individual) 1.28 (1.07–1.52)** 0.88 (0.73–1.04) 1.36 (1.11–1.68)** 0.89 (0.73–1.09) 1.13 (0.98–1.29) 1.13 (0.97–1.32)
Disclosure concerns (community) -- 0.91 (0.46–1.77) -- 1.00 (0.46–2.20) -- 2.95 (1.51–5.58)***
Age
Age >22 yrs Ref Ref Ref Ref Ref Ref
Age ≤21 yrs 0.57 (0.49–0.68)*** 1.05 (0.88–1.27) 0.59 (0.49–0.72)*** 1.03 (0.84–1.26) 0.89 (0.80–1.00)** 1.23 (1.04–1.45) **
Gender
 Male Ref Ref Ref Ref Ref Ref
 Female 0.29 (0.24–0.35)*** 0.32 (0.26–0.39)*** 0.26 (0.20–0.32)*** 0.30 (0.23–0.38)*** 1.21 (1.02–1.42)** 1.18 (0.99–1.41)*
Current marital status
Never married Ref Ref Ref Ref Ref Ref
Married or partnered 0.23 (0.20–0.28)*** 0.39 (0.31–0.48)*** 0.23 (0.19–0.27)*** 0.40 (0.31–0.50) *** 0.72 (0.63–0.83)*** 0.67 (0.55–0.81)***
Widowed, divorced, separated 0.45 (0.31–0.60)*** 0.67 (0.47–0.96)** 0.47 (0.31–0.72)*** 0.75 (0.48–1.18) 1.02 (0.83–1.25) 0.90 (0.70–1.16)
Region of country
Eastern Ref Ref Ref Ref Ref Ref
Northern 1.03 (0.79–0.34) 1.10 (0.85–1.41) 0.94 (0.70–1.28) 1.00 (0.72–1.36) 0.97 (0.77–1.22) 0.90 (0.72–1.13)
Southern 1.49 (1.14–1.95)** 1.69 (1.30–2.46)*** 1.11 (0.82–1.50) 1.20 (0.88–1.65) 0.69 (0.57–0.85)*** 0.67 (0.55–0.83)***
Western 3.48 (2.76–4.38)*** 1.83 (1.41–2.34)*** 3.74 (2.77–5.02)*** 1.87 (1.37–2.54)*** 0.96 (0.76–1.21) 0.81 (0.60–1.10)
Location
Urban Ref Ref Ref Ref Ref Ref
Rural 0.33 (0.27–0.40)*** 0.93 (0.72–1.19) 0.29 (0.23–0.37)*** 0.923 (0.70–1.23) 0.90 (0.75–1.08) 1.01 (1.08–1.49)
Highest educational level
No education Ref Ref Ref Ref Ref Ref
Primary 1.76 (1.39–2.23)*** 1.30 (1.01–1.68)** 1.79 (1.33–2.41)*** 1.30 (0.93–1.80) 1.29 (1.11–1.52)** 1.27 (1.08–1.49)**
Secondary 4.78 (3.99–5.72)*** 2.00 (1.62–2.47)*** 5.96 (4.75–7.46)*** 2.39 (1.84–3.11)*** 1.23 (1.06–1.43)** 1.15 (0.98–1.33)*
Higher 9.45 (7.41–12.03)*** 3.25 (2.47–4.29)*** 12.89 (9.49–17.49)*** 4.13 (2.92–5.84)*** 0.94 (0.69–1.29) 0.91 (0.67–1.24)
Interviewed household head 1.12 (0.96–1.31) 0.97 (0.81–1.16) 1.23 (1.04–1.47)** 1.06 (0.88–1.28) 0.77 (0.68–0.89)*** 0.89 (0.77–1.03)
Wealth status &
Poorest Ref Ref Ref Ref Ref Ref
Poorer 1.48 (1.05–2.10)** 1.42 (0.99–2.03)* 1.35 (0.85–2.15) 1.25 (0.79–2.02) 1.07 (0.89–1.28) 1.03 (0.85–1.23)
Middle 1.57 (1.15–2.17)** 1.42 (1.02–1.98)** 1.29 (0.85–1.99) 1.07 (0.70–2.02) 1.03 (0.85–1.27) 0.98 (0.81–1.20)
Richer 2.60 (1.90–3.54)*** 1.74 (1.26–2.40)*** 2.50 (1.70–3.68)*** 1.42 (0.94–2.14)* 1.24 (1.01–1.51)** 1.13 (0.91–1.41)
Richest 5.35 (4.04–7.09)*** 1.94 (1.36–2.77)*** 5.64 (3.88–8.20)*** 1.44 (0.96–2.24) 1.19 (0.96–1.47) 1.11 (0.84–1.48)

AOR, adjusted odds ratio; OR, odds ratio

^

The adjusted models include the following covariates: age, gender, current marital status, region, rural/urban, highest educational level, interviewed household head, and wealth status.

The HIV stigmatizing attitudes scale was generated by summing the total number of responses to five questions about persons with HIV, with responses indicating a negative view of persons with HIV coded to equal “1”. The scale ranges from 0–3, with higher values indicating a greater degree of stigma.

&

The household asset wealth index is calculated by applying principal components analysis to a set of household possessions and housing characteristics. The index is then defined as the first principal component extracted from the principal components analysis and used to categorize participants into quintiles of household asset wealth. Further details on the construction of the asset index can be found in Filmer D, Pritchett LH. Demog 2011;38:115–132.

p<0.10;

*

p<0.05;

**

p<0.01;

***

p<0.001

In unadjusted analyses, HIV disclosure concerns at the individual level were associated with recent condom usage, consistent condom usage and self-reported STDs. After adjustment for potential confounders and community level HIV disclosure concerns, none of the associations held for HIV disclosure concerns at the individual level, but community-level HIV disclosure concerns were significantly associated with higher odds of self-reported STDs (AOR=2.95; 95% CI, 1.51–5.58).

Effect modifications

We assessed for effect modification by gender. Most women (66%) and men (63%) endorsed at least one HIV stigmatizing attitude. About half of the women (52%) and men (52%) had HIV disclosure concerns. In general, both women and men had low rates of condom usage. Only 12% of men and 4% of women reported recent condom usage. Men (8%) reported consistent condom usage four times more than women (2%). Men and women reported a similar proportion of STDs (Table 2).

Gender modified the associations between HIV stigma and HIV transmission risk behaviors and self-reported STDs. Among men, individual-level HIV stigmatizing attitudes were significantly associated with lower odds of recent and consistent condom usage, respectively (AOR=0.86; 95% CI, 0.77–0.96; and AOR=0.81; 95% CI, 0.71–0.93). Community-level HIV stigmatizing attitudes were significantly associated with higher odds of self-reported STDs (AOR=1.60; 95% CI, 1.15–2.24). Individual-level HIV disclosure concerns were associated with lower odds of self-reported STDs (AOR=0.80; 95% CI, 0.63–1.02) while community-level HIV disclosure concerns were associated with higher odds of consistent condom usage (AOR=1.89, 95% CI, 0.77–4.65).

Among women, individual-level stigmatizing attitudes were significantly associated with lower odds of consistent condom usage (AOR=0.84; 95% CI, 0.72–0.98) while community-level stigmatizing attitudes were significantly associated with higher odds of self-reported STDs (AOR=2.33, 95% CI, 1.64–3.32). Individual-level HIV disclosure concerns were associated with lower odds of recent condom usage (AOR=0.76; 95% CI, 0.57–1.00) and consistent condom usage (AOR=0.72; 95% CI, 0.51–1.00) and were significantly associated with higher odds of self-reported STDs (AOR, 1.34; 95% CI, 1.13–1.58). Community-level HIV disclosure concerns were associated with lower odds of consistent condom usage (AOR= 0.38; 95% CI, 0.13–1.07) and were significantly associated with higher odds of self-reported STDs (AOR, 3.79; 95% CI 1.68–8.55).

Compared to men, community-level HIV stigmatizing attitudes among women were a stronger driver of self-reported STDs (interaction p=0.07). Individual-level HIV disclosure concerns among women were associated with higher odds of self-reported STDs while individual-level HIV disclosure concerns among men were associated with lower odds of self-reported STDs (interaction p=0.001). Gender modified the association between community-level HIV disclosure concerns and both recent and consistent condom usage (interaction p=0.03 and p=0.002, respectively). Community-level HIV disclosure concerns among women were observed to be a driver of risky sexual behaviors while community-level HIV disclosure concerns among men were observed to be a driver of safer sexual behaviors. Gender did not modify associations between individual-level HIV stigmatizing attitudes and HIV transmission risk behaviors or self-reported STDs (Table 4). In analyses testing for effect modification by urban vs. rural residence, we found that urban vs. rural residence did not modify the associations between individual- and community-level stigma and recent condom usage, consistent condom usage, and self-reported STDs.

Table 4.

Gender-stratified, adjusted associations between HIV stigma and recent condom usage, consistent condom usage, and self-reported STDs

Recent condom usageAOR (95% CI)^ Consistent condom usageAOR (95% CI) Self-reported STDsAOR (95% CI)
Stigmatizing attitudes (individual)
Male 0.86 (0.77–0.96)* 0.81 (0.71–0.93)** 1.03 (0.92–1.14)
Female 0.91 (0.81–1.02) 0.84 (0.72–0.98)** 1.05 (0.98–1.14)
Interaction p=0.49 p=0.75 p=0.65
Stigmatizing attitudes (community)
Male 0.85 (0.62–1.16) 0.79 (0.50–1.28) 1.60 (1.15–2.24)**
Female 1.31 (0.88–1.95) 1.29 (0.82–2.03) 2.33 (1.64–3.32)***
Interaction p=0.08 p=0.11 p=0.07
Disclosure concerns (individual)
Male 0.97 (0.80–1.17) 1.00 (0.81–1.24) 0.80 (0.63–1.02)
Female 0.76 (0.57–1.00) 0.72 (0.51–1.00) 1.34 (1.13–1.58)**
Interaction p=0.13 p=0.07 p=0.001
Disclosure concerns (community)
Male 1.46 (0.65–3.31) 1.89 (0.77–4.65) 1.63 (0.79–3.36)
Female 0.49 (0.21–1.15) 0.38 (0.13–1.07) 3.79 (1.68–8.55)**
Interaction p=0.03 p=0.002 p=0.07

AOR, adjusted odds ratio;

^

The adjusted models include the following covariates: age, gender, current marital status, region, rural/urban, highest educational level, interviewed household head, and wealth status;

p<0.10;

*

p<0.05;

**

p<0.01;

***

p<0.001

Other associations with HIV transmission risk behaviors and self-reported STDs

In adjusted analyses, women had lower odds of recent and consistent condom usage compared to men while single marital status, higher educational level, and higher wealth status were associated with higher odds of recent and consistent condom usage. There was a dose-response relationship between education and condom usage (recent and consistent), with higher levels of condoms usage at higher educational levels. Age ≤21 years, female gender, and having completed only primary or secondary education were associated with higher odds of self-reported STDs. Being married or partnered was associated with lower odds of self-reported STDs (Table 3).

Discussion

This study shows that HIV stigma may be a risk factor for HIV transmission risk behaviors at the individual and community levels. We found that individual-level HIV stigmatizing attitudes were associated with condom usage and that community-level HIV disclosure concerns and stigmatizing attitudes were associated with self-reported STDs. Causality can not be inferred in this cross-sectional study. If confirmed in longitudinal study, our findings would suggest that simply changing individual attitudes, without changing the underlying normative beliefs in the community, would be insufficient to prevent HIV transmission. These findings underscore the importance of including community-wide interventions that target HIV stigma, especially among women, in national HIV responses. Such community-wide interventions may also prevent transmission of other STDs in addition to HIV.

We found that gender was an effect modifier for the associations between HIV stigma and HIV transmission risk behaviors and self-reported STDs. HIV stigma among women was an important driver of risky sex and self-reported STDs, though HIV stigma among men had independent effects. Our findings suggest that men and women are both at risk of poor HIV transmission risk behaviors and outcomes when exposed to certain dimensions of HIV stigma. Women, however, were the primary driver of negative associations for individual- and community-level HIV disclosure concerns with consistent condom usage and self-reported STDs. HIV disclosure concerns among HIV-positive women are a well-known driver of poor HIV treatment and care outcomes and secondary transmission risk.27,39,40 Our study offers new evidence that disclosure concerns in the general population may drive HIV transmission risk behaviors and self-reported STDs. In particular, individual- and community-level disclosure concerns among women were associated with self-reported STDs, suggesting that disclosure concerns both at the individual- and community-level may be important targets for intervention. This is further supported by other studies that have shown that women who have HIV disclosure concerns have more inequitable sexual relationships.41 Other studies have, in turn, found that relationship power inequities are determinants of HIV transmission risk.42,43 In order to comprehensively address HIV disclosure concerns among women, future research is needed to understand the role of community norms in influencing relationship power inequities and risky sex.

In our study, the general population of Sierra Leone had high rates of HIV stigma and very low rates of condom usage. While these high rates of HIV stigma were comparable to other parts of sub-Saharan Africa,2,3 the low rates of condom usage were considerably lower than rates reported elsewhere in sub-Saharan Africa.44 The national HIV program in Sierra Leone may need to rethink its HIV prevention package to increase condom usage and reduce STDs, and our findings suggest that stigma reduction at the community level should be part of these efforts.

Similar to previous literature, we also found that women and young persons were more likely to report STDs, independent of HIV stigma.45,46 Furthermore, individuals with little formal education and the poorest wealth status were least likely to report recent condom usage as reported in previous studies.47,48 Young women in poverty, especially those with little or no formal education, represent high-risk groups that several biomedical HIV prevention trials in sub-Saharan Africa have failed to effectively reach with pre-exposure prophylaxis,49,50 so novel behavioral and biomedical interventions are needed to prevent HIV transmission in this group.

There are several important limitations to this work. The explanatory and outcome variables were self-reported measures, and they may have been under-reported. Second, in the 2008 DHS survey, there were additional measures of HIV stigma, particularly about prejudiced attitudes, that were not questions asked in the 2013 DHS survey. More detailed measures of anticipated stigma were not available, so this study was not representative of the entire conceptual landscape of HIV stigma, and it is likely that other measures of HIV stigma may also have had an impact on HIV transmission risk behaviors. Third, this was a cross-sectional study based on two cross-sectional samples obtained in 2008 and 2013. Hence, we cannot determine the direction of causality or rule out the unlikely possibility that a participant was surveyed twice. Interpretation of these findings was limited by potential unmeasured.

HIV stigma has remained a major barrier to HIV treatment and prevention efforts, in part due to challenges in unpacking the different domains of HIV stigma, and finding appropriate targets for HIV stigma reduction strategies. We provide new evidence that community-level HIV stigmatizing attitudes and disclosure concerns may be risk factors for risky sex and self-reported STDs, particularly among women. HIV stigma is widespread, not just in Sierra Leone, but around the world. Ending the HIV epidemic will require that national HIV responses implement effective, community-wide and gender-specific interventions addressing HIV stigma and HIV prevention behaviors.

Acknowledgments

Sources of support: ACT acknowledges salary support through the U.S. National Institutes of Health K23MH096620. SDW acknowledges salary support through R-01 MH095683 and Burke Family Foundation.

We would like to thank Measure DHS for access and authorization to the 2008 and 2013 Sierra Leone Demographic Health Survey data files for research purposes. The authors received no specific funding for this study. ACT acknowledges salary support through the U.S. National Institutes of Health K23MH096620. SDW acknowledges salary support through R-01 MH095683.

Footnotes

Disclosure of funding: The authors received no specific funding for this study.

References

  • 1.UNAIDS. Global Report: UNAIDS report on the global AIDS epidemic 2013. 2013 Available at: http://www.unaids.org/sites/default/files/media_asset/UNAIDS_Global_Report_2013_en_1.pdf.
  • 2.AIDS Treatment for Life International Survey (ATLIS) ATLIS Global Report. 2010 Apr; Available at: http://www.iapac.org/ATLIS/ATLIS2010/FactSheet Key Regional Findings with Stigma FINAL.pdf.
  • 3.Chan BT, Tsai AC. HIV stigma trends in the general population during antiretroviral treatment expansion: analysis of 31 countries in sub-Saharan Africa, 2003–2013. J Acquir Immune Defic Syndr. 2016;72(5):558–564. doi: 10.1097/QAI.0000000000001011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.UNAIDS. 90-90-90 An ambitious treatment target to help end the AIDS epidemic. 2014. [Google Scholar]
  • 5.Piot P, Abdool Karim SS, Hecht R, et al. Defeating AIDS--advancing global health. Lancet. 2015;386(9989):171–218. doi: 10.1016/S0140-6736(15)60658-4. [DOI] [PubMed] [Google Scholar]
  • 6.Rueda S, Mitra S, Chen S, 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. doi: 10.1136/bmjopen-2016-011453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Katz IT, Ryu AE, Onuegbu AG, et al. Impact of HIV-related stigma on treatment adherence: systematic review and meta-synthesis. J Int AIDS Soc. 2013;16(3 Suppl 2):18640. doi: 10.7448/IAS.16.3.18640. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Stangl AL, Lloyd JK, Brady LM, 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(3 Suppl 2):18734. doi: 10.7448/IAS.16.3.18734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.UNAIDS. On the fast-track to end AIDS by 2030: focus on location and population. 2015 Nov; Available at: http://www.unaids.org/en/resources/documents/2015/FocusLocationPopulation.
  • 10.Goffman E. Stigma: notes on the management of spoiled identity. Englewood Cliffs: Prentice-Hall, Inc; 1963. [Google Scholar]
  • 11.Delavande A, Sampaio M, Sood N. HIV-related social intolerance and risky sexual behavior in a high HIV prevalence environment. Soc Sci Med. 2014;111:84–93. doi: 10.1016/j.socscimed.2014.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Arjan E, Bos R, Pryor John B, Reeder Glenn D, Stutterheim Sarah E. Stigma: Advances in Theory and Research, Basic and Applied Social Psychology. 2013;35:1, 1–9. doi: 10.1080/01973533.2012.746147. [DOI] [Google Scholar]
  • 13.Gilmore N, Somerville MA. Stigmatization, scapegoating and discrimination in sexually transmitted diseases: overcoming ‘them’ and ‘us’. Soc Sci Med. 1994;39(9):1339–1358. doi: 10.1016/0277-9536(94)90365-4. [DOI] [PubMed] [Google Scholar]
  • 14.Tsai AC, Kakuhikire B, Perkins JM, et al. Normative vs. Personal Attitudes Toward Persons with HIV, and the Mediating Role of Anticipated HIV Stigma: Conceptual Model and Population-Based Study. Soc Sci & Med. 2017 in press. [Google Scholar]
  • 15.Steward WT, Herek GM, Ramakrishna J, et al. HIV-related stigma: adapting a theoretical framework for use in India. Soc Sci Med. 2008;67(8):1225–1235. doi: 10.1016/j.socscimed.2008.05.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Scambler G. Health-related stigma. Sociol Health Illn. 2009;31(3):441–455. doi: 10.1111/j.1467-9566.2009.01161.x. [DOI] [PubMed] [Google Scholar]
  • 17.Joffe H. AIDS research and prevention: a social representational approach. Br J Med Psychol. 1996;69(Pt 3):169–190. doi: 10.1111/j.2044-8341.1996.tb01863.x. [DOI] [PubMed] [Google Scholar]
  • 18.O’Hea EL, Sytsma SE, Copeland A, Brantley PJ. The Attitudes Toward Women with HIV/AIDS Scale (ATWAS): development and validation. AIDS Educ Prev. 2001;13(2):120–130. doi: 10.1521/aeap.13.2.120.19738. [DOI] [PubMed] [Google Scholar]
  • 19.Earnshaw VA, Smith LR, Shuper PA, Fisher WA, Cornman DH, Fisher JD. HIV stigma and unprotected sex among PLWH in KwaZulu-Natal, South Africa: a longitudinal exploration of mediating mechanisms. AIDS Care. 2014;26(12):1506–1513. doi: 10.1080/09540121.2014.938015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Carey KB, Scott-Sheldon LA, Carey MP, et al. Community norms for HIV risk behaviors among men in a South African township. J Behav Med. 2011;34(1):32–40. doi: 10.1007/s10865-010-9284-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Mulawa M, Yamanis TJ, Hill LM, Balvanz P, Kajula LJ, Maman S. Evidence of social network influence on multiple HIV risk behaviors and normative beliefs among young Tanzanian men. Soc Sci Med. 2016;153:35–43. doi: 10.1016/j.socscimed.2016.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Ng CK, Tsai AC. Proximate Context of HIV-Related Stigma and Women’s Use of Skilled Childbirth Services in Uganda. AIDS Behav. 2017;21(1):307–316. doi: 10.1007/s10461-016-1401-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Chiao C, Mishra V, Sambisa W. Individual- and community-level determinants of social acceptance of people living with HIV in Kenya: results from a national population-based survey. Health Place. 2009;15(3):712–720. doi: 10.1016/j.healthplace.2008.12.001. [DOI] [PubMed] [Google Scholar]
  • 24.Hatzenbuehler ML, O’Cleirigh C, Mayer KH, Mimiaga MJ, Safren SA. Prospective associations between HIV-related stigma, transmission risk behaviors, and adverse mental health outcomes in men who have sex with men. Ann Behav Med. 2011;42(2):227–234. doi: 10.1007/s12160-011-9275-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Pitpitan EV, Kalichman SC, Eaton LA, et al. AIDS-related stigma, HIV testing, and transmission risk among patrons of informal drinking places in Cape Town, South Africa. Ann Behav Med. 2012;43(3):362–371. doi: 10.1007/s12160-012-9346-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.World Health Organization. Global HIV/AIDS response: Epidemic update and health sector progress towards universal access. Progress report. 2011 Available at: http://www.who.int/hiv/pub/progress_report2011/en/
  • 27.King R, Katuntu D, Lifshay J, et al. Processes and outcomes of HIV serostatus disclosure to sexual partners among people living with HIV in Uganda. AIDS Behav. 2008;12(2):232–243. doi: 10.1007/s10461-007-9307-7. [DOI] [PubMed] [Google Scholar]
  • 28.Hodgson I, Plummer ML, Konopka SN, et al. A systematic review of individual and contextual factors affecting ART initiation, adherence, and retention for HIV-infected pregnant and postpartum women. PLoS One. 2014;9(11):e111421. doi: 10.1371/journal.pone.0111421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kelly JD, Weiser SD, Tsai AC. Proximate Context of HIV Stigma and Its Association with HIV Testing in Sierra Leone: A Population-Based Study. AIDS Behav. 2016;20(1):65–70. doi: 10.1007/s10461-015-1035-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Turan B, Budhwani H, Fazeli PL, 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. 2016 doi: 10.1007/s10461-016-1451-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Stephenson R, Miriam Elfstrom K, Winter A. Community influences on married men’s uptake of HIV testing in eight African countries. AIDS Behav. 2013;17(7):2352–2366. doi: 10.1007/s10461-012-0223-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Koku EF. Desire for, and uptake of HIV tests by Ghanaian women: the relevance of community level stigma. J Community Health. 2011;36(2):289–299. doi: 10.1007/s10900-010-9310-1. [DOI] [PubMed] [Google Scholar]
  • 33.Paudel V, Baral KP. Women living with HIV/AIDS (WLHA), battling stigma, discrimination and denial and the role of support groups as a coping strategy: a review of literature. Reprod Health. 2015;12:53. doi: 10.1186/s12978-015-0032-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Fekete EM, Williams SL, Skinta MD, Bogusch LM. Gender differences in disclosure concerns and HIV-related quality of life. AIDS Care. 2016:1–5. doi: 10.1080/09540121.2015.1114995. [DOI] [PubMed] [Google Scholar]
  • 35.Statistics Sierra Leone (SSL) and ICF Macro. Sierra Leone Demographic and Health Survey 2008. Calverton, Maryland, USA: SSL and ICF Macro; 2009. [Google Scholar]
  • 36.Statistics Sierra Leone (SSL) and ICF International. Sierra Leone Demographic and Health Survey 2013. Freetown, Sierra Leone and Rockville, Maryland, USA: SSL and ICF International; 2014. [Google Scholar]
  • 37.Gari S, Doig-Acuña C, Smail T, Malungo JR, Martin-Hilber A, Merten S. Access to HIV/AIDS care: a systematic review of socio-cultural determinants in low and high income countries. BMC Health Serv Res. 2013;13:198. doi: 10.1186/1472-6963-13-198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Stephenson R. Community factors shaping HIV-related stigma among young people in three African countries. AIDS Care. 2009;21(4):403–410. doi: 10.1080/09540120802290365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kennedy CE, Haberlen S, Amin A, Baggaley R, Narasimhan M. Safer disclosure of HIV serostatus for women living with HIV who experience or fear violence: a systematic review. J Int AIDS Soc. 2015;18(Suppl 5):20292. doi: 10.7448/IAS.18.6.20292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Deribe K, Woldemichael K, Wondafrash M, Haile A, Amberbir A. Disclosure experience and associated factors among HIV positive men and women clinical service users in Southwest Ethiopia. BMC Public Health. 2008;8:81. doi: 10.1186/1471-2458-8-81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Van Devanter N, Duncan A, Birnbaum J, Burrell-Piggott T, Siegel K. Gender Power Inequality and Continued Sexual Risk Behavior among Racial/Ethnic Minority Adolescent and Young Adult Women Living with HIV. J AIDS Clin Res. 2011;(S1) [PMC free article] [PubMed] [Google Scholar]
  • 42.Conroy AA, Tsai AC, Clark GM, et al. Relationship Power and Sexual Violence Among HIV-Positive Women in Rural Uganda. AIDS Behav. 2016 doi: 10.1007/s10461-016-1385-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Jewkes RK, Dunkle K, Nduna M, Shai N. Intimate partner violence, relationship power inequity, and incidence of HIV infection in young women in South Africa: a cohort study. Lancet. 2010;376(9734):41–48. doi: 10.1016/S0140-6736(10)60548-X. [DOI] [PubMed] [Google Scholar]
  • 44.Michielsen K, Chersich MF, Luchters S, De Koker P, Van Rossem R, Temmerman M. Effectiveness of HIV prevention for youth in sub-Saharan Africa: systematic review and meta-analysis of randomized and nonrandomized trials. AIDS. 2010;24(8):1193–1202. doi: 10.1097/QAD.0b013e3283384791. [DOI] [PubMed] [Google Scholar]
  • 45.Crichton J, Hickman M, Campbell R, Batista-Ferrer H, Macleod J. Socioeconomic factors and other sources of variation in the prevalence of genital chlamydia infections: A systematic review and meta-analysis. BMC Public Health. 2015;15:729. doi: 10.1186/s12889-015-2069-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Maxmen A. Older men and young women drive South African HIV epidemic. Nature. 2016;535(7612):335. doi: 10.1038/nature.2016.20273. [DOI] [PubMed] [Google Scholar]
  • 47.Davidoff-Gore A, Luke N, Wawire S. Dimensions of poverty and inconsistent condom use among youth in urban Kenya. AIDS Care. 2011;23(10):1282–1290. doi: 10.1080/09540121.2011.555744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Bankole A, Darroch JE, Singh S. Determinants of trends in condom use in the United States, 1988–1995. Fam Plann Perspect. 1999;31(6):264–271. [PubMed] [Google Scholar]
  • 49.Van Damme L, Corneli A, Ahmed K, et al. Preexposure prophylaxis for HIV infection among African women. N Engl J Med. 2012;367(5):411–422. doi: 10.1056/NEJMoa1202614. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Baeten JM, Palanee-Phillips T, Brown ER, et al. Use of a Vaginal Ring Containing Dapivirine for HIV-1 Prevention in Women. N Engl J Med. 2016 doi: 10.1056/NEJMoa1506110. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES