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Internalized HIV stigma, bullying, major depressive disorder, and high-risk suicidality among HIV-positive adolescents in rural Uganda

Published online by Cambridge University Press:  18 June 2018

S. Ashaba*
Affiliation:
Mbarara University Science and Technology, Mbarara, Uganda
C. Cooper-Vince
Affiliation:
Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
S. Maling
Affiliation:
Mbarara University Science and Technology, Mbarara, Uganda
G. Z. Rukundo
Affiliation:
Mbarara University Science and Technology, Mbarara, Uganda
D. Akena
Affiliation:
Makerere University College of Health Sciences, Kampala, Uganda
A. C. Tsai
Affiliation:
Mbarara University Science and Technology, Mbarara, Uganda Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
*
*Address for correspondence: S. Ashaba, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda. (Email: [email protected])
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Abstract

Background.

Studies conducted in sub-Saharan Africa suggest a high prevalence of depression and suicidality among adolescents living with HIV (ALWH). This is an important public health issue because depression is known to compromise HIV treatment adherence. However, the drivers of depression and suicidality in this population are unclear. We conducted a cross-sectional study to estimate the associations between internalized stigma, bullying, major depressive disorder, and suicidality.

Methods.

We conducted a cross-sectional survey between November 2016 and March 2017, enrolling a consecutive sample of 224 ALWH aged 13–17 years. We collected information on demographic characteristics, internalized HIV-related stigma (using the six-item Internalized AIDS-Related Stigma Scale), bullying victimization (using the nine-item Social and Health Assessment Peer Victimization Scale), major depressive disorder [using the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID)], and suicidality (also using the MINI-KID). We fitted multivariable logistic regression models to estimate the associations between stigma, bullying, major depressive disorder, and suicidality.

Results.

Thirty-seven participants (16%) had major depressive disorder, 30 (13%) had suicidality, and nine (4%) had high-risk suicidality. Ninety-one participants (41%) had high levels of internalized stigma, while 97 (43%) reported two or more bullying events in the past year. In multivariable logistic regression models, major depressive disorder had a statistically significant association with bullying (AOR = 1.09; 95% CI 1.00–1.20; p = 0.04); while suicidality (low, moderate, high risk) had statistically significant associations with both bullying (AOR = 1.09; 95% CI 1.01–1.17; p = 0.02) and stigma (AOR = 1.30; 95% CI 1.03–1.30; p = 0.02).

Conclusions.

Among ALWH in rural Uganda, stigma and bullying are strongly associated with major depressive disorder and suicidality. There is a need to incorporate psychological interventions in the mainstream HIV care to address these challenges for optimal management of HIV among ALWH.

Type
Original Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2018

Introduction

In 2015, approximately 1.8 million adolescents between the ages of 10 and 19 years were living with HIV worldwide (UNAIDS, 2014; Bekker et al. Reference Bekker, Johnson, Wallace and Hosek2015), and the number of adolescents living with HIV (ALWH) continues to rise due to increasing availability of HIV antiretroviral medications, which have enabled the survival of perinatally infected children (Brady et al. Reference Brady, Oleske, Williams, Elgie, Mofenson, Dankner and Van Dyke2010). Numerous studies have documented a high prevalence of depressive symptoms and suicidality among adults living with HIV throughout sub-Saharan Africa (SSA) (Antelman et al. Reference Antelman, Kaaya, Wei, Mbwambo, Msamanga, Fawzi and Fawzi2007; Simbayi et al. Reference Simbayi, Kalichman, Strebel, Cloete, Henda and Mqeketo2007; Tsai et al. Reference Tsai, Bangsberg, Frongillo, Hunt, Muzoora, Martin and Weiser2012; Zunner et al. Reference Zunner, Dworkin, Neylan, Bukusi, Oyaro, Cohen, Abwok and Meffert2015; Ashaba et al. Reference Ashaba, Kakuhikire, Vořechovská, Perkins, Cooper-Vince, Maling, Bangsberg and Tsai2017; Kinyanda et al. Reference Kinyanda, Nakasujja, Levin, Birabwa, Mpango, Grosskurth, Seedat and Patel2017). There have been fewer studies of depression and suicidality among ALWH, and these have focused primarily on ALWH in high-income countries (Lyon et al. Reference Lyon, D'angelo, Schuman, Tipnis and Mrazek2000; Mellins et al. Reference Mellins, Brackis-Cott, Leu, Elkington, Dolezal, Wiznia, McKay, Bamji and Abrams2009; Musisi & Kinyanda, Reference Musisi and Kinyanda2009; Mellins & Malee, Reference Mellins and Malee2013; Betancourt et al. Reference Betancourt, Scorza, Kanyanganzi, Fawzi, Sezibera, Cyamatare, Beardslee, Stulac, Bizimana and Stevenson2014; Kim et al. Reference Kim, Mazenga, Devandra, Ahmed, Kazembe, Yu, Nguyen and Sharp2014). Depression and suicidality are important public health issues not only because of their contribution to the global burden of disease and disability (Murray et al. Reference Murray, Vos, Lozano, Naghavi, Flaxman, Michaud, Ezzati, Shibuya, Salomon and Abdalla2012) – with suicide being one of the leading causes of mortality among adolescents worldwide (Gore et al. Reference Gore, Bloem, Patton, Ferguson, Joseph, Coffey, Sawyer and Mathers2011; WHO, 2014) – but also because they are associated with poor HIV treatment adherence and worsened HIV-related outcomes (Antelman et al. Reference Antelman, Kaaya, Wei, Mbwambo, Msamanga, Fawzi and Fawzi2007; Sikkema et al. Reference Sikkema, Watt, Drabkin, Meade, Hansen and Pence2010; Tsai et al. Reference Tsai, Weiser, Petersen, Ragland, Kushel and Bangsberg2010; Pence et al. Reference Pence, Gaynes, Adams, Thielman, Heine, Mugavero, McGuinness, Raper, Willig and Shirey2015).

Less is known about the drivers of depression and suicidality among ALWH. HIV is highly stigmatized in SSA (Tsai et al. Reference Tsai, Bangsberg and Weiser2013b; Tsai, Reference Tsai2015; Chan & Tsai, Reference Chan and Tsai2016), and the stigma of HIV has persisted despite the increasing availability of lifesaving antiretroviral medications (Chan et al. Reference Chan, Tsai and Siedner2015a, Reference Chan, Weiser, Boum, Siedner, Mocello, Haberer, Hunt, Martin, Mayer and Bangsbergb). Various forms of HIV stigma have been associated with worsened mental health among HIV-positive persons of all ages (Kinyanda et al. Reference Kinyanda, Nakasujja, Levin, Birabwa, Mpango, Grosskurth, Seedat and Patel2017) including adolescents (Cluver et al. Reference Cluver, Gardner and Operario2008) with consequent adverse impacts on their treatment, health outcomes, and quality of life (Abubakar et al. Reference Abubakar, Van de Vijver, Fischer, Hassan, Gona, Dzombo, Bomu, Katana and Newton2016; Dow et al. Reference Dow, Turner, Shayo, Mmbaga, Cunningham and O'Donnell2016; Fawzi et al. Reference Fawzi, Ng, Kanyanganzi, Kirk, Bizimana, Cyamatare, Mushashi, Kim, Kayiteshonga and Binagwaho2016; McHenry et al. Reference McHenry, Nyandiko, Scanlon, Fischer, McAteer, Aluoch, Naanyu and Vreeman2016; Vreeman et al. Reference Vreeman, McCoy and Lee2017). HIV stigma has also been linked to bullying (which can be viewed as a behavioral enactment of stigma) and poor performance in school among ALWH (O'Hare et al. Reference O'Hare, Venables, Nalubeg, Nakakeeto, Kibirige and Southall2005; Cluver et al. Reference Cluver, Bowes and Gardner2010; Boyes & Cluver, Reference Boyes and Cluver2015). Bullying is defined as intentional, repeated acts of aggressive behavior intended to cause physical or psychological harm and is characterized by an imbalance in power between the perpetrator and the victim (Kochenderfer & Ladd, Reference Kochenderfer and Ladd1996; Rigby, Reference Rigby2002). Bullying is a particularly noteworthy concern for HIV-positive children across all cultures because adolescence is a critical developmental period during which children value relationships and spend much of their time with peers (Smetana et al. Reference Smetana, Campione-Barr and Metzger2006; Salmivalli, Reference Salmivalli2010; Ghoul et al. Reference Ghoul, Niwa and Boxer2013). General population studies of adolescents have linked bullying to multiple mental health problems including depression, anxiety, substance use, and suicidality (Hay et al. Reference Hay, Payne and Chadwick2004; Brown et al. Reference Brown, Riley, Butchart and Kann2008; Boyes et al. Reference Boyes, Bowes, Cluver, Ward and Badcock2014).

Despite the public health importance of depression and suicidality among ALWH, there have been relatively few studies examining how these mental health problems are linked to HIV stigma and stigma-related bullying. To date, the bulk of our knowledge about HIV stigma, bullying, and mental health problems among ALWH is derived from a series of large-scale studies of HIV-affected and HIV-positive youth in South Africa by Cluver & Orkin (Reference Cluver and Orkin2009) and Pantelic et al. (Reference Pantelic, Boyes, Cluver and Meinck2017). A major limitation of these studies is their reliance on screening measures of mental health, which in general may yield overestimates of the prevalence of mental disorders, particularly among persons with HIV (Tsai, Reference Tsai2014). To contribute to the existing literature, we conducted a clinic-based, cross-sectional study of ALWH in rural Uganda to estimate the associations between internalized stigma, bullying, major depressive disorder, and suicidality.

Methods

Study setting and participants

We conducted the study in Mbarara, a rural region of southwestern Uganda with a population of 195 013 people (UBOS, 2014). We enrolled a consecutive sample of 224 ALWH aged 13–17 years from the HIV clinic attached to the Mbarara Regional Referral Hospital and the Mbarara University of Science and Technology. We excluded adolescents who were not fully aware of their HIV status despite being in HIV care and those who were not physically strong enough to remain present for the duration of the interview. We also excluded those whose cognitive impairments (assessed clinically in consultation with a certified Ugandan psychiatrist) prevented them from fully understanding the interview questions.

Study measures

We administered all measures using a questionnaire that was translated into the local language (Runyankore). Sociodemographic characteristics were elicited by self-report and included age, sex, level of schooling, duration on antiretroviral therapy, caregiver/family structure (either living with both parents, one parent, grandparents, or siblings), whether the participant was bereaved by the loss of one or both parents, and whether the participant attended a day or boarding school. We also administered the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID, version 6), the internalized stigma scale, and the bullying victimization scale.

The MINI-KID is a short, structured diagnostic interview that is used to obtain valid diagnoses of mental disorders in children and adolescents that are consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth edition (DSM-IV) and the International Statistical Classification of Diseases and Related Health Problems (ICD-10) (Sheehan et al. Reference Sheehan, Lecrubier, Sheehan, Sheehan, Amorim, Janavs, Weiller, Hergueta, Baker and Dunbar1998, Reference Sheehan, Sheehan, Shytle, Janavs, Bannon, Rogers, Milo, Stock and Wilkinson2010). The MINI-KID module on depression consists of two screening questions, seven additional questions related to depression symptoms, and one question related to functional impairment. The MINI-KID has previously been adapted to obtain valid diagnoses of mental disorders in the Ugandan context (Okello et al. Reference Okello, Onen and Musisi2007; Kinyanda et al. Reference Kinyanda, Kizza, Abbo, Ndyanabangi and Levin2013; Idro et al. Reference Idro, Kakooza-Mwesige, Asea, Ssebyala, Bangirana, Opoka, Lubowa, Semrud-Clikeman, John and Nalugya2016; Nalugya-Sserunjogi et al. Reference Nalugya-Sserunjogi, Rukundo, Ovuga, Kiwuwa, Musisi and Nakimuli-Mpungu2016) and was translated into Runyanakore for the purposes of our study. A diploma-level psychiatric clinical officer trained in the diagnosis and management of psychiatric disorders administered the MINI-KID modules on major depressive disorder and suicidality. The suicidality module elicits information about suicidal ideation, planning, and attempts over the past month. The recommended algorithm was applied to the MINI-KID suicidality scores to categorize the study participants as being at low, moderate, or high risk for suicide. A score of 17 or more indicates high-risk suicidality.

HIV stigma was measured using the Internalized AIDS-Related Stigma Scale, a six-item scale designed to measure internalized stigma. It was developed for use among a sample of people living with HIV from the USA, South Africa, and Swaziland (Kalichman et al. Reference Kalichman, Simbayi, Cloete, Mthembu, Mkhonta and Ginindza2009). It is one of the most widely used stigma measurement scales in the field (Pantelic et al. Reference Pantelic, Shenderovich, Cluver and Boyes2015) and has been validated for use in the Ugandan context (Tsai et al. Reference Tsai, Weiser, Steward, Mukiibi, Kawuma, Kembabazi, Muzoora, Hunt, Martin and Bangsberg2013c). The IARSS items focus on self-blame and concealment of HIV status. Sample items include: ‘it is difficult to tell people about my HIV infection’ and ‘I am ashamed that I am HIV positive’. Each item is scored on a binary response scale (agree/disagree), and the total scale score is computed as the sum of the items, with higher scores representing greater internalized stigma. In the present study, the scale's internal consistency was acceptable, with a Cronbach's α of 0.75. A ‘high’ level of internalized stigma was defined as having a total score greater than or equal to the 75th percentile (⩾4).

Bullying victimization was measured using the nine-item Social and Health Assessment Peer Victimization Scale, which elicits experiences of bullying in the past year (Ruchkin et al. Reference Ruchkin, Schwab-Stone and Vermeiren2004). The scale was adapted from the Multidimensional Peer Victimization Scale, which showed excellent reliability (α  =  0.82) in the initial development study conducted among adolescents in the UK (Mynard & Joseph, Reference Mynard and Joseph2000) as well as in the studies conducted among black South African children and adolescents (α = 0.81) (Cluver et al. Reference Cluver, Bowes and Gardner2010; Boyes & Cluver, Reference Boyes and Cluver2015). In the present study, the scale also demonstrated good reliability (α = 0.81). The scale contains two items measuring physical bullying victimization, two items measuring verbal bullying victimization, two items measuring relational bullying victimization, two items measuring experience of property damage and theft, and a single item assessing invasion of physical space. The items are scored on a four-point Likert-type scale (never, once, 2–3 times, ⩾4 times). Bullying is defined as having two or more bullying events in the past year. The total bullying victimization score was calculated by summing across all items. At the conclusion of each interview, participants received 10000 Ugandan shillings (approximately US$3 at the time of data collection) to cover transportation costs.

Ethics review

We interviewed adolescents after obtaining their assent and obtaining written informed consent from a parent/caregiver. Emancipated minors who were below 18 years of age but living independently, and empowered adolescents (i.e. those who were responsible for their HIV care per report of their HIV care provider), provided written informed consent without involvement of their parents/guardians. Research assistants read the consent forms to the participants, who were then given a chance to ask questions for clarification prior to giving their consent. We received ethical approval for our study from the Research Ethics Committee of the Mbarara University of Science and Technology and the Massachusetts General Hospital/Partners Human Research Committee (2016P000482/MGH). Consistent with national guidelines, we also received clearance for the study from the Uganda National Council for Science and Technology (SS4023) and from the Research Secretariat in the Office of the President. Adolescents found to be in acute psychological distress or at acutely elevated risk for suicide, as determined by the psychiatric clinical officer, were referred to the hospital psychiatric ward to receive appropriate care.

Hypothesis

Based on the literature presented above, we hypothesized that both stigma and bullying would be correlated with the mental health outcomes of interest (major depressive disorder and high-risk suicidality).

Data analysis

Sample size considerations were driven by the outcome of major depressive disorder. We assumed that the prevalence of major depressive disorder in the sample would be 14%, based on a meta-analysis of major depressive disorder and elevated depression symptom severity among people with HIV in SSA (Tsai, Reference Tsai2014). We further assumed a moderate degree of correlation between the exposures of interest, bullying and stigma, and the other covariates (R 2 = 0.4). With these assumptions, a sample size of 224 would have 80% power to detect an association of 2.0 on the odds ratio scale (Hsieh et al. Reference Hsieh, Bloch and Larsen1998).

We used bivariate analyses to estimate the associations between major depressive disorder and suicidality and the following covariates: sociodemographic characteristics (age, sex, being an orphan, boarding school or day school, serostatus of the caregiver, duration on antiretroviral therapy), bullying, and internalized HIV stigma. We used multivariable logistic regression to estimate their independent correlations with the outcomes, alternately specifying major depressive disorder and suicidality as the dependent variables of interest. We specified high-risk suicidality as the dependent variable in a sensitivity analysis given its clinical importance. To understand the magnitudes of the estimated associations, we calculated the predicted probabilities of major depressive disorder and suicidality evaluated at the 25th and 75th percentiles of the bullying and stigma scores using the delta method. All analyses were conducted in Stata version 13 (StataCorp LP, College Station, Texas, USA).

Results

We interviewed 224 participants with a mean age of 14.8 years (s.d. 1.4), 131 of whom were female (59%). The mean duration on antiretroviral therapy was 8.5 years (s.d. 4.3). Thirty-seven adolescents (16%) were classified as having major depressive disorder on the MINI-KID. Thirty-one adolescents (14%) were classified as having any (low, moderate, or high risk) suicidality, while nine (4%) were classified as having high-risk suicidality. The mean internalized stigma score was 2.58 (s.d. 1.72). Nearly all participants [201 (90%)] reported at least some degree of internalized stigma, while 91 participants (41%) had ‘high’ levels of stigma as indicated by total scores ⩾4. The mean bullying victimization score was 12.5 (4.99), and 97 participants (43%) reported two or more bullying events in the past year (Table 1).

Table 1. Sociodemographic characteristics of the participants (N = 224)

On bivariate analysis, major depressive disorder was associated with both bullying victimization (OR 1.12; 95% CI 1.04–1.21; p = 0.003) and internalized stigma (OR 1.31; 95% CI 1.01–1.73; p = 0.04) (Table 2). Any suicidality was also associated with bullying (OR 1.09; 95% CI 1.02–1.16; p = 0.008) and internalized stigma (OR 1.33; 95% CI 1.07–1.66; p = 0.009).

Table 2. Bivariate analysis of factors associated with major depressive disorder and suicidality

On multivariable logistic regression, major depressive disorder had a statistically significant association with bullying (AOR 1.09; 95% 1.00–1.20; p = 0.04] but not internalized stigma (AOR 1.27; 95% CI 0.94–1.73; p = 0.12) (Table 3). In the regression model predicting any suicidality, both bullying (AOR 1.09; 95% CI 1.01–1.17, p = 0.02) and stigma (AOR 1.30; 95% CI 1.03–1.30; p = 0.02) had statistically significant associations with the outcome. In a sensitivity analysis, we specified high-risk suicidality as the dependent variable; in this regression model, high-risk suicidality had a statistically significant association with bullying (AOR 1.14; 95% CI 1.01–1.29; p = 0.033) but not with stigma (AOR 1.35; 95% CI 0.91–2.01; p = 0.13).

Table 3. Multivariable regression of the factors associated with depression and suicidality

The estimated associations were large in magnitude, as suggested by the predictive margins. At the mean of the covariates, the predicted probability of major depressive disorder was 5.2% when evaluated at the 25th percentile of the bullying score and 8.8% when evaluated at the 75th percentile of the bullying score. This difference corresponded to (8.8–5.2)/8 = 45% of the baseline prevalence of major depressive disorder. Similarly, the predicted probability of suicidality was 9.5% when evaluated at the 25th percentile of the bullying score and 14.9% when evaluated at the 75th percentile, or (14.9–9.5)/13 = 41.5% of the baseline prevalence of suicidality. The estimated associations were slightly larger for internalized stigma. The predicted probability of major depressive disorder was 5.8% when evaluated at the 25th percentile of the stigma score and 10.0% when evaluated at the 75th percentile of the stigma score, corresponding to (10–5.8)/8 = 52.5% of the baseline prevalence. The predicted probability of suicidality was 8.6% when evaluated at the 25th percentile of the stigma score and 16.9% when evaluated at the 75th percentile, or (16.9–8.6)/13 = 63.4% of the baseline prevalence of suicidality.

Discussion

In this cross-sectional, clinic-based study of HIV-positive adolescents, we found that HIV stigma and bullying were associated with major depressive disorder and high-risk suicidality. The estimated associations were statistically significant, large in magnitude, and robust to potential confounding by several measured covariates. While several previously published studies based on the data collected in SSA have examined the correlations between these constructs (Hay et al. Reference Hay, Payne and Chadwick2004; Brown et al. Reference Brown, Riley, Butchart and Kann2008; Cluver & Orkin, Reference Cluver and Orkin2009; Boyes et al. Reference Boyes, Bowes, Cluver, Ward and Badcock2014; Pantelic et al. Reference Pantelic, Boyes, Cluver and Meinck2017), our study adds to this literature by using structured diagnostic interviews to assess for major depressive disorder and high-risk suicidality. Our findings have important policy and programmatic implications for the holistic care of HIV-positive children and adolescents and suggest a need for integrating mental health care into mainstream HIV clinic care and for the development of interventions that aim to avert stigma and bullying associated with HIV (Vreeman et al. Reference Vreeman, McCoy and Lee2017).

We found that bullying victimization was associated with both major depressive disorder and high-risk suicidality. Internalized stigma was also associated with both major depressive disorder and suicidality, although the estimated associations remained statistically significant after multivariable adjustment only in the analysis predicting any suicidality (but not major depressive disorder or high-risk suicidality). These findings are consistent with the findings from previous studies showing increased risks of poor mental health in the setting of bullying among HIV-positive and HIV-affected children and adolescents (Cluver et al. Reference Cluver, Bowes and Gardner2010; Boyes & Cluver, Reference Boyes and Cluver2015; Pantelic et al. Reference Pantelic, Boyes, Cluver and Meinck2017). Although bullying has also been reported to be a predictor of internalizing symptoms among children and adolescents in the general population (Hay et al. Reference Hay, Payne and Chadwick2004; Brown et al. Reference Brown, Riley, Butchart and Kann2008; Cluver & Orkin, Reference Cluver and Orkin2009), there is a need for elevated concern about bullying of HIV-positive/HIV-affected youth given that the stigma of HIV is frequently a risk factor for bullying itself (O'Hare et al. Reference O'Hare, Venables, Nalubeg, Nakakeeto, Kibirige and Southall2005; Cluver et al. Reference Cluver, Bowes and Gardner2010; Boyes & Cluver, Reference Boyes and Cluver2015). In the setting of HIV, bullying can be considered a behavioral manifestation of stigma also described as enacted stigma, which is consistent with previously published work linking HIV stigma and mental health problems among children and adolescents (Cluver et al. Reference Cluver, Gardner and Operario2008; Norcini Pala et al. Reference Norcini Pala, Hart and Steca2015).

In terms of other ancillary findings, we found that suicidality was more prevalent among girls v. boys. This finding mirrors previously published findings showing that suicidality is more prevalent among HIV-positive women in SSA (compared with HIV-positive men) (Schlebusch & Vawda, Reference Schlebusch and Vawda2010; Chikezie et al. Reference Chikezie, Otakpor, Kuteyi and James2012; Kinyanda et al. Reference Kinyanda, Hoskins, Nakku, Nawaz and Patel2012), as well as the well-known finding that depression is more prevalent among women v. men generally (Weissman & Klerman, Reference Weissman and Klerman1977). In Uganda as well as other countries in SSA, HIV incidence and prevalence are higher among women (Uganda AIDS Indicator Survey (UAIS), 2014; Patra & Singh, Reference Patra and Singh2015; Sia et al. Reference Sia, Onadja, Hajizadeh, Heymann, Brewer and Nandi2016) and HIV-positive women are also more vulnerable to HIV-related stressors that predispose them to internalizing the stigma of HIV compared with men (Rohleder & Gibson, Reference Rohleder and Gibson2006). A second notable finding is that lack of social support was associated with major depressive disorder. This finding is consistent with previously published findings showing that social support is protective against mental health problems among HIV-affected adolescents and youth (Lee et al. Reference Lee, Detels, Rotheram-Borus and Duan2007; Cheng et al. Reference Cheng, Li, Lou, Sonenstein, Kalamar, Jejeebhoy, Delany-Moretlwe, Brahmbhatt, Olumide and Ojengbede2014; Vreeman et al. Reference Vreeman, McCoy and Lee2017) and among HIV-positive adults (McDowell & Serovich, Reference McDowell and Serovich2007; Tsai et al. Reference Tsai, Bangsberg, Frongillo, Hunt, Muzoora, Martin and Weiser2012; Casale et al. Reference Casale, Wild, Cluver and Kuo2015). Third, we found that increasing duration on HIV treatment was positively associated with the odds of major depressive disorder. This finding was unexpected, as it stands in contrast to several previously published studies showing that HIV treatment is associated with a reduction in depression symptom severity among HIV-positive adults (Wagner et al. Reference Wagner, Ghosh-Dastidar, Garnett, Kityo and Mugyenyi2012; Tsai et al. Reference Tsai, Bangsberg, Bwana, Haberer, Frongillo, Muzoora, Kumbakumba, Hunt, Martin and Weiser2013a; Martinez et al. Reference Martinez, Tsai, Muzoora, Kembabazi, Weiser, Huang, Haberer, Martin, Bangsberg and Hunt2014b). It should be noted, however, that the duration of treatment was determined by self-report rather than by review of clinic records, which may limit its accuracy.

Of note is the fact that our sample consisted of adolescents who were on antiretroviral therapy for an average of more than 8 years. Although ALWH engaged in care have access to support, and HIV treatment in general has been shown to diminish stigma (Seeley & Russell, Reference Seeley and Russell2010; Campbell et al. Reference Campbell, Skovdal, Madanhire, Mugurungi, Gregson and Nyamukapa2011; Mbonye et al. Reference Mbonye, Nakamanya, Birungi, King, Seeley and Jaffar2013; Tsai et al. Reference Tsai, Bangsberg, Bwana, Haberer, Frongillo, Muzoora, Kumbakumba, Hunt, Martin and Weiser2013a), our findings indicate that ALWH still experience persistent internalized HIV stigma, bullying, and other mental health problems including depression even when on long-term antiretroviral therapy (Martinez et al. Reference Martinez and Chakraborty2014a; Treves-Kagan et al. Reference Treves-Kagan, Steward, Ntswane, Haller, Gilvydis, Gulati, Barnhart and Lippman2016). As such there is a room to enhance psychological services for adolescents in HIV care to enhance antiretroviral treatment adherence and improve treatment outcomes (Dow et al. Reference Dow, Turner, Shayo, Mmbaga, Cunningham and O'Donnell2016; McHenry et al. Reference McHenry, Nyandiko, Scanlon, Fischer, McAteer, Aluoch, Naanyu and Vreeman2016; Vreeman et al. Reference Vreeman, McCoy and Lee2017). Recent work from Uganda has shown that evidence-based psychological interventions can be tailored to the local context to reduce stress and depression among persons with HIV (Nakimuli-Mpungu et al. Reference Nakimuli-Mpungu, Wamala, Okello, Alderman, Odokonyero, Musisi and Mojtabai2014a, Reference Nakimuli-Mpungu, Wamala, Okello, Alderman, Odokonyero, Musisi, Mojtabai and Millsb).

Interpretation of our study findings should take into account a number of limitations. The cross-sectional study design does not allow for the evaluation of the causal relationship between stigma, bullying, depression, and suicidality. Second, our sample consisted solely of ALWH aged 13–17 years, so our results may not be generalizable to younger children and or older youth. Third, this study was based on a consecutive sample of ALWH who were receiving care in a well-structured HIV clinic. Fourth, the majority of study participants had been on treatment for an extended duration, suggesting they were perinatally infected. Therefore, these findings may not generalize to HIV-positive adolescents who have acquired HIV behaviorally. There is some evidence to suggest that the stigma attached to behaviorally acquired HIV is more severe (Orban et al. Reference Orban, Stein, Koenig, Conner, Rexhouse, Lewis and LaGrange2010) and may therefore have more severe impacts on mental health.

Conclusion

Our findings show that stigma and bullying are common among HIV-positive adolescents engaged in HIV care in rural Uganda and that these are strong predictors of depression and suicidality. These findings have important bearing on public health impact since stigma, bullying victimization, and depression affect the ability of affected individuals to seek care and adhere to treatment, ultimately resulting in poor physical outcomes. Bearing in mind that our sample consisted of adolescents who had been in HIV care for an average of 8 years yet nonetheless continued to experience psychological distress and other challenges of stigma and bullying indicates that availability of antiretroviral medications and support from HIV care providers is not enough (Chan et al. Reference Chan, Tsai and Siedner2015a, Reference Chan, Weiser, Boum, Siedner, Mocello, Haberer, Hunt, Martin, Mayer and Bangsbergb; Chan & Tsai, Reference Chan and Tsai2016; Treves-Kagan et al. Reference Treves-Kagan, Steward, Ntswane, Haller, Gilvydis, Gulati, Barnhart and Lippman2016). There is a need to incorporate psychological interventions into mainstream HIV care to address these challenges for optimal HIV treatment among ALWH. Additionally, interventions to promote awareness in schools may also be effective in reducing stigma and promoting support for ALWH among peers.

Acknowledgements

The study was funded by the National Institutes of Health: Fogarty International Center (FIC), National Institute of Mental Health (NIMH), National Institute of Neurological Disorders and Stroke (NINDS) under award D43TW010128. Dr Tsai also acknowledges salary support through NIH R01MH113494.

Declaration of interest

None.

Ethical standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

References

Abubakar, A, Van de Vijver, FJ, Fischer, R, Hassan, AS, Gona, J, Dzombo, JT, Bomu, G, Katana, K, Newton, CR (2016). ‘Everyone has a secret they keep close to their hearts’: challenges faced by adolescents living with HIV infection at the Kenyan coast. BMC Public Health 16, 197.Google Scholar
Antelman, G, Kaaya, S, Wei, R, Mbwambo, J, Msamanga, GI, Fawzi, WW, Fawzi, MCS (2007). Depressive symptoms increase risk of HIV disease progression and mortality among women in Tanzania. JAIDS Journal of Acquired Immune Deficiency Syndromes 44, 470477.CrossRefGoogle ScholarPubMed
Ashaba, S, Kakuhikire, B, Vořechovská, D, Perkins, J, Cooper-Vince, C, Maling, S, Bangsberg, D, Tsai, A (2017). Reliability, validity, and factor structure of the Hopkins symptom checklist-25: population-based study of persons living with HIV in rural Uganda. AIDS and Behavior, 18.Google Scholar
Bekker, L-G, Johnson, L, Wallace, M, Hosek, S (2015). Building our youth for the future. Journal of the International Aids Society 18, 17.Google Scholar
Betancourt, T, Scorza, P, Kanyanganzi, F, Fawzi, MCS, Sezibera, V, Cyamatare, F, Beardslee, W, Stulac, S, Bizimana, JI, Stevenson, A (2014). HIV and child mental health: a case-control study in Rwanda. Pediatrics: PEDS 134(2), 20132734.Google Scholar
Boyes, ME, Bowes, L, Cluver, LD, Ward, CL, Badcock, NA (2014). Bullying victimisation, internalising symptoms, and conduct problems in South African children and adolescents: a longitudinal investigation. Journal of Abnormal Child Psychology 42, 13131324.CrossRefGoogle ScholarPubMed
Boyes, ME and Cluver, LD (2015). Relationships between familial HIV/AIDS and symptoms of anxiety and depression: the mediating effect of bullying victimization in a prospective sample of South African children and adolescents. Journal of Youth and Adolescence 44, 847859.CrossRefGoogle Scholar
Brady, MT, Oleske, JM, Williams, PL, Elgie, C, Mofenson, LM, Dankner, WM, Van Dyke, RB, PACTGC Team (2010). Declines in mortality rates and changes in causes of death in HIV-1-infected children during the HAART era. Journal of Acquired Immune Deficiency Syndromes (1999) 53, 86.CrossRefGoogle ScholarPubMed
Brown, DW, Riley, L, Butchart, A, Kann, L (2008). Bullying among youth from eight African countries and associations with adverse health behaviors. Pediatric Health 2, 289299.Google Scholar
Campbell, C, Skovdal, M, Madanhire, C, Mugurungi, O, Gregson, S, Nyamukapa, C (2011). “We, the AIDS people…”: how antiretroviral therapy enables Zimbabweans living with HIV/AIDS to cope with stigma. American Journal of Public Health 101, 10041010.Google Scholar
Casale, M, Wild, L, Cluver, L, Kuo, C (2015). Social support as a protective factor for depression among women caring for children in HIV-endemic South Africa. Journal of Behavioral Medicine 38, 1727.CrossRefGoogle ScholarPubMed
Chan, BT and Tsai, AC (2016). HIV stigma trends in the general population during antiretroviral treatment expansion: analysis of 31 countries in sub-Saharan Africa, 2003–2013. JAIDS Journal of Acquired Immune Deficiency Syndromes 72, 558564.CrossRefGoogle ScholarPubMed
Chan, BT, Tsai, AC, Siedner, MJ (2015 a). HIV treatment scale-up and HIV-related stigma in sub-Saharan Africa: a longitudinal cross-country analysis. American Journal of Public Health 105, 15811587.Google Scholar
Chan, BT, Weiser, SD, Boum, Y, Siedner, MJ, Mocello, AR, Haberer, JE, Hunt, PW, Martin, JN, Mayer, KH, Bangsberg, DR (2015 b). Persistent HIV-related stigma in rural Uganda during a period of increasing HIV incidence despite treatment expansion. AIDS (London, England) 29, 83.CrossRefGoogle ScholarPubMed
Cheng, Y, Li, X, Lou, C, Sonenstein, FL, Kalamar, A, Jejeebhoy, S, Delany-Moretlwe, S, Brahmbhatt, H, Olumide, AO, Ojengbede, O (2014). The association between social support and mental health among vulnerable adolescents in five cities: findings from the study of the well-being of adolescents in vulnerable environments. Journal of Adolescent Health 55, S31S38.CrossRefGoogle Scholar
Chikezie, UE, Otakpor, AN, Kuteyi, OB, James, BO (2012). Suicidality among individuals with HIV/AIDS in Benin City, Nigeria: a case-control study. AIDS Care 24, 843845.Google Scholar
Cluver, L, Bowes, L, Gardner, F (2010). Risk and protective factors for bullying victimization among AIDS-affected and vulnerable children in South Africa. Child Abuse & Neglect 34, 793803.Google Scholar
Cluver, L and Orkin, M (2009). Cumulative risk and AIDS-orphanhood: interactions of stigma, bullying and poverty on child mental health in South Africa. Social Science & Medicine 69, 11861193.Google Scholar
Cluver, LD, Gardner, F, Operario, D (2008). Effects of stigma on the mental health of adolescents orphaned by AIDS. Journal of Adolescent Health 42, 410417.Google Scholar
Dow, DE, Turner, EL, Shayo, AM, Mmbaga, B, Cunningham, CK, O'Donnell, K (2016). Evaluating mental health difficulties and associated outcomes among HIV-positive adolescents in Tanzania. AIDS Care 28, 825833.Google Scholar
Fawzi, MCS, Ng, L, Kanyanganzi, F, Kirk, C, Bizimana, J, Cyamatare, F, Mushashi, C, Kim, T, Kayiteshonga, Y, Binagwaho, A (2016). Mental health and antiretroviral adherence among youth living with HIV in Rwanda. Pediatrics e20153235.Google Scholar
Ghoul, A, Niwa, EY, Boxer, P (2013). The role of contingent self-worth in the relation between victimization and internalizing problems in adolescents. Journal of Adolescence 36, 457464.Google Scholar
Gore, FM, Bloem, PJ, Patton, GC, Ferguson, J, Joseph, V, Coffey, C, Sawyer, SM, Mathers, CD (2011). Global burden of disease in young people aged 10–24 years: a systematic analysis. The Lancet 377, 20932102.Google Scholar
Hay, DF, Payne, A, Chadwick, A (2004). Peer relations in childhood. Journal of Child Psychology and Psychiatry 45, 84108.Google Scholar
Hsieh, FY, Bloch, DA, Larsen, MD (1998). A simple method of sample size calculation for linear and logistic regression. Statistics in Medicine 17, 16231634.Google Scholar
Idro, R, Kakooza-Mwesige, A, Asea, B, Ssebyala, K, Bangirana, P, Opoka, RO, Lubowa, SK, Semrud-Clikeman, M, John, CC, Nalugya, J (2016). Cerebral malaria is associated with long-term mental health disorders: a cross sectional survey of a long-term cohort. Malaria Journal 15, 184.CrossRefGoogle ScholarPubMed
Kalichman, SC, Simbayi, LC, Cloete, A, Mthembu, PP, Mkhonta, RN, Ginindza, T (2009). Measuring AIDS stigmas in people living with HIV/AIDS: the Internalized AIDS-Related Stigma Scale. AIDS Care 21, 8793.Google Scholar
Kim, MH, Mazenga, AC, Devandra, A, Ahmed, S, Kazembe, PN, Yu, X, Nguyen, C, Sharp, C (2014). Prevalence of depression and validation of the Beck Depression Inventory-II and the Children's Depression Inventory-Short amongst HIV-positive adolescents in Malawi. Journal of the International AIDS Society 17(1), 18965.CrossRefGoogle ScholarPubMed
Kinyanda, E, Hoskins, S, Nakku, J, Nawaz, S, Patel, V (2012). The prevalence and characteristics of suicidality in HIV/AIDS as seen in an African population in Entebbe district, Uganda. BMC Psychiatry 12, 63.CrossRefGoogle Scholar
Kinyanda, E, Kizza, R, Abbo, C, Ndyanabangi, S, Levin, J (2013). Prevalence and risk factors of depression in childhood and adolescence as seen in 4 districts of north-eastern Uganda. BMC International Health and Human Rights 13, 19.Google Scholar
Kinyanda, E, Nakasujja, N, Levin, J, Birabwa, H, Mpango, R, Grosskurth, H, Seedat, S, Patel, V (2017). Major depressive disorder and suicidality in early HIV infection and its association with risk factors and negative outcomes as seen in semi-urban and rural Uganda. Journal of Affective Disorders 212, 117127.Google Scholar
Kochenderfer, BJ and Ladd, GW (1996). Peer victimization: manifestations and relations to school adjustment in kindergarten. Journal of School Psychology 34, 267283.Google Scholar
Lee, S-J, Detels, R, Rotheram-Borus, MJ, Duan, N (2007). The effect of social support on mental and behavioral outcomes among adolescents with parents with HIV/AIDS. American Journal of Public Health 97, 18201826.CrossRefGoogle ScholarPubMed
Lyon, M, D'angelo, LJ, Schuman, WB, Tipnis, T, Mrazek, DA (2000). Psychiatric diagnoses in adolescents seropositive for the human immunodeficiency virus. Archives of Pediatrics & Adolescent Medicine 154, 240244.Google Scholar
Martinez, J, Chakraborty, R, COP AIDS (2014 a). Psychosocial support for youth living with HIV. Pediatrics 133, 558562.Google Scholar
Martinez, P, Tsai, AC, Muzoora, C, Kembabazi, A, Weiser, SD, Huang, Y, Haberer, JE, Martin, JN, Bangsberg, DR, Hunt, PW (2014 b). Reversal of the kynurenine pathway of tryptophan catabolism may improve depression in ART-treated HIV-infected Ugandans. Journal of Acquired Immune deficiency Syndromes (1999) 65, 456.Google Scholar
Mbonye, M, Nakamanya, S, Birungi, J, King, R, Seeley, J, Jaffar, S (2013). Stigma trajectories among people living with HIV (PLHIV) embarking on a life time journey with antiretroviral drugs in Jinja, Uganda. BMC Public Health 13, 804.Google Scholar
McDowell, TL and Serovich, J (2007). The effect of perceived and actual social support on the mental health of HIV-positive persons. AIDS Care 19, 12231229.CrossRefGoogle ScholarPubMed
McHenry, MS, Nyandiko, WM, Scanlon, ML, Fischer, LJ, McAteer, CI, Aluoch, J, Naanyu, V, Vreeman, RC (2016). HIV stigma perspectives from Kenyan child caregivers and adolescents living with HIV. Journal of the International Association of Providers of AIDS Care (JIAPAC) 16(3), 215225.CrossRefGoogle ScholarPubMed
Mellins, CA, Brackis-Cott, E, Leu, CS, Elkington, KS, Dolezal, C, Wiznia, A, McKay, M, Bamji, M, Abrams, EJ (2009). Rates and types of psychiatric disorders in perinatally human immunodeficiency virus-infected youth and seroreverters. Journal of Child Psychology and Psychiatry 50, 11311138.Google Scholar
Mellins, CA and Malee, KM (2013). Understanding the mental health of youth living with perinatal HIV infection: lessons learned and current challenges. Journal of the International AIDS Society 16(1), 18593.Google Scholar
Murray, CJ, Vos, T, Lozano, R, Naghavi, M, Flaxman, AD, Michaud, C, Ezzati, M, Shibuya, K, Salomon, JA, Abdalla, S (2012). Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. The Lancet 380, 21972223.Google Scholar
Musisi, S and Kinyanda, E (2009). Emotional and behavioural disorders in HIV seropositive adolescents in urban Uganda. East African Medical Journal 86(1), 1624.Google Scholar
Mynard, H and Joseph, S (2000). Development of the multidimensional peer-victimization scale. Aggressive Behavior 26, 169178.3.0.CO;2-A>CrossRefGoogle Scholar
Nakimuli-Mpungu, E, Wamala, K, Okello, J, Alderman, S, Odokonyero, R, Musisi, S, Mojtabai, R (2014 a). Developing a culturally sensitive group support intervention for depression among HIV infected and non-infected Ugandan adults: a qualitative study. Journal of Affective Disorders 163, 1017.Google Scholar
Nakimuli-Mpungu, E, Wamala, K, Okello, J, Alderman, S, Odokonyero, R, Musisi, S, Mojtabai, R, Mills, EJ (2014 b). Outcomes, feasibility and acceptability of a group support psychotherapeutic intervention for depressed HIV affected Ugandan adults: a pilot study. Journal of Affective Disorders 166, 144150.Google Scholar
Nalugya-Sserunjogi, J, Rukundo, GZ, Ovuga, E, Kiwuwa, SM, Musisi, S, Nakimuli-Mpungu, E (2016). Prevalence and factors associated with depression symptoms among school-going adolescents in Central Uganda. Child and Adolescent Psychiatry and Mental Health 10, 39.Google Scholar
Norcini Pala, A, Hart, RP, Steca, P (2015). Minority stress, depression and HIV-progression biomarkers: an exploratory study on a sample of Italian HIV-positive gay and bisexual men. Journal of Gay & Lesbian Mental Health 19, 244260.Google Scholar
O'Hare, BA, Venables, J, Nalubeg, J, Nakakeeto, M, Kibirige, M, Southall, D (2005). Home-based care for orphaned children infected with HIV/AIDS in Uganda. AIDS Care 17, 443450.Google Scholar
Okello, J, Onen, T, Musisi, S (2007). Psychiatric disorders among war-abducted and non-abducted adolescents in Gulu district, Uganda: a comparative study. African Journal of Psychiatry 10, 225231.Google Scholar
Orban, LA, Stein, R, Koenig, LJ, Conner, LC, Rexhouse, EL, Lewis, JV, LaGrange, R (2010). Coping strategies of adolescents living with HIV: disease-specific stressors and responses. AIDS Care 22, 420430.Google Scholar
Pantelic, M, Boyes, M, Cluver, L, Meinck, F (2017). HIV, violence, blame and shame: pathways of risk to internalized HIV stigma among South African adolescents living with HIV. Journal of the International AIDS Society 20(1), 21771.CrossRefGoogle ScholarPubMed
Pantelic, M, Shenderovich, Y, Cluver, L, Boyes, M (2015). Predictors of internalised HIV-related stigma: a systematic review of studies in sub-Saharan Africa. Health Psychology Review 9, 469490.CrossRefGoogle ScholarPubMed
Patra, S and Singh, RK (2015). Knowledge and behavioural factors associated with gender gap in acquiring HIV among youth in Uganda. Journal of Public Health Research 4, 470.Google Scholar
Pence, BW, Gaynes, BN, Adams, JL, Thielman, NM, Heine, AD, Mugavero, MJ, McGuinness, T, Raper, JL, Willig, JH, Shirey, KG (2015). The effect of antidepressant treatment on HIV and depression outcomes: results from a randomized trial. AIDS (London, England) 29, 19751986.Google Scholar
Rigby, K (2002). New Perspectives on Bullying. London: Jessica Kingsley Publishers.Google Scholar
Rohleder, P and Gibson, K (2006). ‘We are not fresh’: HIV-positive women talk of their experience of living with their ‘spoiled identity’. South African Journal of Psychology 36, 2544.Google Scholar
Ruchkin, V, Schwab-Stone, M, Vermeiren, R (2004). Social and Health Assessment (SAHA): Psychometric Development Summary. Yale University: New Haven.Google Scholar
Salmivalli, C (2010). Bullying and the peer group: a review. Aggression and Violent Behavior 15, 112120.Google Scholar
Schlebusch, L and Vawda, N (2010). HIV-infection as a self-reported risk factor for attempted suicide in South Africa. African Journal of Psychiatry 13, 280283.Google Scholar
Seeley, J and Russell, S (2010). Social rebirth and social transformation? Rebuilding social lives after ART in rural Uganda. AIDS Care 22(Suppl 1), 4450.Google Scholar
Sheehan, D, Lecrubier, Y, Sheehan, KH, Sheehan, K, Amorim, P, Janavs, J, Weiller, E, Hergueta, T, Baker, R, Dunbar, G (1998). Diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry 59, 2233.Google Scholar
Sheehan, DV, Sheehan, KH, Shytle, RD, Janavs, J, Bannon, Y, Rogers, JE, Milo, KM, Stock, SL, Wilkinson, B (2010). Reliability and validity of the mini international neuropsychiatric interview for children and adolescents (MINI-KID). The Journal of Clinical Psychiatry 71, 313326.CrossRefGoogle ScholarPubMed
Sia, D, Onadja, Y, Hajizadeh, M, Heymann, SJ, Brewer, TF, Nandi, A (2016). What explains gender inequalities in HIV/AIDS prevalence in sub-Saharan Africa? Evidence from the demographic and health surveys. BMC Public Health 16, 1136.Google Scholar
Sikkema, KJ, Watt, MH, Drabkin, AS, Meade, CS, Hansen, NB, Pence, BW (2010). Mental health treatment to reduce HIV transmission risk behavior: a positive prevention model. AIDS and Behavior 14, 252262.Google Scholar
Simbayi, LC, Kalichman, S, Strebel, A, Cloete, A, Henda, N, Mqeketo, A (2007). Internalized stigma, discrimination, and depression among men and women living with HIV/AIDS in Cape Town, South Africa. Social Science & Medicine 64, 18231831.Google Scholar
Smetana, JG, Campione-Barr, N, Metzger, A (2006). Adolescent development in interpersonal and societal contexts. Annual Review of Psychology 57, 255284.Google Scholar
Treves-Kagan, S, Steward, WT, Ntswane, L, Haller, R, Gilvydis, JM, Gulati, H, Barnhart, S, Lippman, SA (2016). Why increasing availability of ART is not enough: a rapid, community-based study on how HIV-related stigma impacts engagement to care in rural South Africa. BMC Public Health 16, 87.Google Scholar
Tsai, AC (2014). Reliability and validity of depression assessment among persons with HIV in sub-Saharan Africa: systematic review and meta-analysis. Journal of Acquired Immune Deficiency Syndromes (1999) 66, 503.Google Scholar
Tsai, AC (2015). Socioeconomic gradients in internalized stigma among 4314 persons with HIV in sub-Saharan Africa. AIDS and Behavior 19, 270282.Google Scholar
Tsai, AC, Bangsberg, DR, Bwana, M, Haberer, JE, Frongillo, EA, Muzoora, C, Kumbakumba, E, Hunt, PW, Martin, JN, Weiser, SD (2013 a). How does antiretroviral treatment attenuate the stigma of HIV? Evidence from a cohort study in rural Uganda. AIDS and Behavior 17, 27252731.Google Scholar
Tsai, AC, Bangsberg, DR, Frongillo, EA, Hunt, PW, Muzoora, C, Martin, JN, Weiser, SD (2012). Food insecurity, depression and the modifying role of social support among people living with HIV/AIDS in rural Uganda. Social Science & Medicine 74(12).CrossRefGoogle ScholarPubMed
Tsai, AC, Bangsberg, DR, Weiser, SD (2013 b). Harnessing poverty alleviation to reduce the stigma of HIV in sub-Saharan Africa. PLoS Medicine 10, e1001557.Google Scholar
Tsai, AC, Weiser, SD, Petersen, ML, Ragland, K, Kushel, MB, Bangsberg, DR (2010). A marginal structural model to estimate the causal effect of antidepressant medication treatment on viral suppression among homeless and marginally housed persons with HIV. Archives of General Psychiatry 67, 12821290.Google Scholar
Tsai, AC, Weiser, SD, Steward, WT, Mukiibi, NF, Kawuma, A, Kembabazi, A, Muzoora, C, Hunt, PW, Martin, JN, Bangsberg, DR (2013 c). Evidence for the reliability and validity of the internalized AIDS-related stigma scale in rural Uganda. AIDS and Behavior 17, 427433.Google Scholar
UBOS (2014). The Population of the Regions of the Republic of Uganda and All Cities and Towns of More Than 15000 Inhabitants. Citypopulation., de Quoting Uganda Bureau of Statistics (UBOS): Kamapala.Google Scholar
Uganda AIDS Indicator Survey (UAIS) (2014). Uganda HIV and AIDS Country Progress Report. Kampala, Uganda: Ministry of Health.Google Scholar
UNAIDS (2014). Joint United Nations Programme on HIV/AIDS (UNAIDS) The gap Report – July 2014. Geneva: UNAIDS.Google Scholar
Vreeman, RC, McCoy, BM, Lee, S (2017). Mental health challenges among adolescents living with HIV. Journal of the International AIDS Society 20(Suppl 3), 21497.Google Scholar
Wagner, GJ, Ghosh-Dastidar, B, Garnett, J, Kityo, C, Mugyenyi, P (2012). Impact of HIV antiretroviral therapy on depression and mental health among clients with HIV in Uganda. Psychosomatic Medicine 74, 883890.Google Scholar
Weissman, MM and Klerman, GL (1977). Sex differences and the epidemiology of depression. Archives of General Psychiatry 34, 98111.Google Scholar
WHO (2014). Preventing Suicide: A Global Imperative. Geneva: World Health Organization.Google Scholar
Zunner, B, Dworkin, SL, Neylan, TC, Bukusi, EA, Oyaro, P, Cohen, CR, Abwok, M, Meffert, SM (2015). HIV, violence and women: unmet mental health care needs. Journal of Affective Disorders 174, 619626.Google Scholar
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Table 1. Sociodemographic characteristics of the participants (N = 224)

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Table 2. Bivariate analysis of factors associated with major depressive disorder and suicidality

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Table 3. Multivariable regression of the factors associated with depression and suicidality