Andrew Tomita

Income inequality widens the existing income-related disparity in depression risk in post-apartheid South Africa: Evidence from a nationally representative panel study

Aim Income inequality (II) and poverty are major challenges in South Africa (SA) yet little is known about their interaction on population mental health. We explored relationships between district II, household income (HHI) and depressive symptoms in national panel data. Method We used 3 waves (2008, 2010, 2012) of the SA National Income Dynamics Study (n=25936) in adjusted mixed effects logistic regression to assess if the relationship between HHI and depressive symptoms is dependent on level of II. Depressive symptoms were assessed with Centre for Epidemiologic Studies Depression scale, and District inequality ratios (P10P90) derived from HHI distributions in 53 districts. Results Lower HHI and increasing II were associated with depressive symptoms. The interaction term between HHI and II on depressive symptoms was significant (&bgr;=0.01, 95% CI: <0.01‐0.01); with increasing II and decreasing HHI, depression risk increased. Conclusion II widens income‐related disparities in depression risk in SA, with policy implications for understanding socioeconomic determinants of mental health and informing global efforts to reduce disparities in high poverty and inequality contexts. HighlightsLow household income is a risk factor for depression in South Africa (SA).Income inequality is a risk factor for depression in SA, a country with extreme levels of inequality.Income inequality widens the existing income‐related disparity in depression risk in SA.

Green environment and incident depression in South Africa: a geospatial analysis and mental health implications in a resource-limited setting

Summary Background Unprecedented levels of habitat transformation and rapid urbanisation are changing the way individuals interrelate with the natural environment in developing countries with high economic disparities. Although the potential benefit of green environments for mental health has been recognised, population-level evidence to this effect is scarce. We investigated the effect of green living environment in potentially countering incident depression in a nationally representative survey in South Africa. Methods We used panel data from the South African National Income Dynamics Study (SA-NIDS). Our study used SA-NIDS data from three waves: wave 1 (2008), wave 2 (2010), and wave 3 (2012). Households were sampled on the basis of a stratified two-stage cluster design. In the first stage, 400 primary sampling units were selected for inclusion. In the second stage, two clusters of 12 dwelling units each were drawn from within each primary sampling unit (or 24 dwelling units per unit). Household and individual adult questionnaires were administered to participants. The main outcome, incident depression (ie, incident cohort of 11 156 study participants without significant depression symptoms at their first entry into SA-NIDS), was assessed in the adult survey via a ten item version of the Center for Epidemiologic Studies Depression Scale; a total score of ten or higher was used as a cutoff to indicate significant depressive symptoms. Each participant was assigned a value for green living space via a satellite-derived normalised difference vegetation index (NDVI) based on the GPS coordinates of their household location. Findings Overall, we found uneven benefit of NDVI on incident depression among our study participants. Although the green living environment showed limited benefit across the study population as a whole, our final analysis based on logistic regression models showed that higher NDVI was a predictor of lower incident depression among middle-income compared with low-income participants (adjusted odds ratio [aOR] 0·98, 0·97–0·99, p<0·0001), although when this analysis was broken down by race, its positive effect was particularly evident amongst African individuals. Living in rural areas was linked to lower odds of incident depression (aOR 0·71, 0·55–0·92, p=0·011) compared with study participants residing in urban informal areas that often lack formal planning. Interpretation Our results imply the importance of green environments for mental wellbeing in sub-Saharan African settings experiencing rapid urbanisation, economic and epidemiological transition, reaffirming the need to incorporate environmental services and benefits for sustainable socioeconomic development. Funding South African Medical Research Council, National Institutes of Health, and Academy of Finland.

Proximity to healthcare clinic and depression risk in South Africa: geospatial evidence from a nationally representative longitudinal study

Proximity to primary healthcare facilities may be a serious barrier to accessing mental health services in resource-limited settings. In this study, we examined whether the distance to the primary healthcare clinic (PHCC) was associated with risk of depression in KwaZulu-Natal Province, South Africa. Depressive symptoms and household coordinates data were accessed from the nationally representative South African National Income Dynamics Study. Distances between households and their nearest PHCCs were calculated and mixed-effects logistic regression models fitted to the data. Participants residing <6xa0km from a PHCC (aORu2009=u20090.608, 95% CI 0.42–0.87) or 6–14.9xa0km (aORu2009=u20090. 612, 95% CI 0.44–0.86) had a lower depression risk compared to those residing ≥15xa0km from the nearest PHCC. Distance to the PHCC was independently associated with increased depression risk, even after controlling for key socioeconomic determinants. Minimizing the distance to PHCC through mobile health clinics and technology could improve mental health.

Social Disequilibrium and the Risk of Hiv Acquisition: A Multilevel Study in Rural Kwazulu-natal Province, South Africa

Background: Few population-based multilevel studies have quantified the risks that social context poses in rural communities with high HIV incidence across South Africa. We investigated the individual, social, and community challenges to HIV acquisition risk in areas with high and low incidence of HIV infection (hotspots/coldspots). Methods: The cohort (N = 17,376) included all HIV-negative adults enrolled in a population-based HIV surveillance study from 2004 to 2015 in a rural South African community with large labor migrancy. Multilevel survival models were fitted to examine the social determinants (ie, neighborhood migration intensity), community traits (ie, HIV prevalence), and individual determinants of HIV acquisition risk in identified hotspots/coldspots. Results: The HIV acquisition risk (adjusted hazard ratio [aHR] = 1.05, 95% confidence interval [CI]: 1.01 to 1.09) was greater in hotspots with higher neighborhood migration intensity among men. In women, higher neighborhood migration intensity (aHR = 1.02, 95% CI: 1.01 to 1.02) was associated with a greater HIV acquisition risk, irrespective of whether they lived in hotspot/coldspot communities. HIV acquisition risk was greater in communities with a higher prevalence of HIV in both men (aHR = 1.07, 95% CI: 1.03 to 1.12) and women (aHR = 1.03, 95% CI: 1.01 to 1.05), irrespective of hotspot/coldspot locations. Conclusion: HIV acquisition risk was strongly influenced by gender (ie, young women), behavior (ie, sexual debut, contraception, circumcision), and social determinants. Certain challenges (ie, community disease prevalence) for HIV acquisition risk impacted both sexes, regardless of residence in hotspot/coldspot communities, whereas social determinants (ie, neighborhood migration intensity) were pronounced in hotspots among men. Future intervention scale-up requires addressing the social context that contributes to HIV acquisition risk in rural areas with high migration.

Epidemiological patterns of mental disorders and stigma in a community household survey in urban slum and rural settings in Kenya

Purpose: This study investigated the epidemiological patterns of mental illness and stigma in community households in Kenya using a cross-sectional community household survey among 846 participants. Methods: A cross-sectional community household survey was conducted around urban slum (Kangemi) and rural (Kibwezi) selected health facilities in Kenya. All households within the two sites served by the selected health facilities were included in the study. To select the main respondent in the household, the oldest adult who could speak English, Kiswahili or both (the official languages in Kenya) was selected to participate in the interview. The Opinion about Mental Illness in Chinese Community (OMICC) questionnaire and the MINI-International Neuropsychiatric Interview–Plus Version 5 (MINI) tools were administered to the participants. Pearson’s chi-square test was used to compare prevalence according to gender, while adjusted regression models examined the association between mental illness and views about mental illness, stratified by gender. Results: The overall prevalence of mental illness was 45%, showing gender differences regarding common types of illness. The opinions about mental illness were similar for men and women, while rural respondents were more positively opinionated than urban participants. Overall, suffering from mental illness was associated with more positive opinions among women and more negative opinions among men. Conclusion: More research is needed into the factors explaining the observed differences in opinion about mental illness between the subgroups, and the impact of mental illness on stigma in Kenya in order to create an evidence-based approach against stigma.

Longitudinal Trends in the Prevalence of Detectable HIV Viremia: Population-Based Evidence From Rural KwaZulu-Natal, South Africa

BackgroundnThe prevalence of detectable viremia has previously been used to infer the potential for ongoing human immunodeficiency virus (HIV) transmission. To date, no study has evaluated the longitudinal change in the prevalence of detectable viremia within the HIV-positive community (PDV+) and the entire population (PDVP) using data from a sub-Saharan African setting.nnnMethodsnIn 2011, 2013, and 2014, we obtained 6752 HIV-positive and 15415 HIV-negative test results from a population-based surveillance system in the KwaZulu-Natal province of South Africa. We quantified the PDV+ as the proportion of the 6752 HIV-positive results with a viral load >1550 copies/mL and the PDVP as the proportion of the 6752 HIV-positive and 15415 HIV-negative results with a viral load >1550 copies/mL.nnnResultsnBetween 2011 and 2014, the PDV+ decreased by 16.5 percentage points (pp) for women (from 71.8% to 55.3%) and 10.6 pp for men (from 77.8% to 67.2%). However, a steady rise in the overall HIV prevalence, from 26.7% to 32.4%, offset the declines in the PDV+ for both sexes. For women, the PDVP decreased by only 2.1 pp, from 21.3% to 19.2%, but for men, the PDVP actually increased by 1.6 pp, from 14.6% to 16.2%, over the survey period.nnnConclusionsnThe PDV+, which is currently being tracked under the UNAIDS 90-90-90 targets, may not be an accurate indicator of the potential for ongoing HIV transmission. There is a critical need for countries to monitor and report the prevalence of detectable viremia among all adults, irrespective of HIV status.

Effect of population viral load on prospective HIV incidence in a hyperendemic rural African community

We propose HIV population viral load indices, which we demonstrate predict future risk of acquiring HIV in a rural South African population. Status is not everything Many parameters are examined to try to understand HIV transmission in endemic areas. Tanser et al. use longitudinal population-based data from rural South Africa to show that population viral load indices incorporating geographical location and local HIV prevalence can be used to infer HIV transmission potential. Their data demonstrate that accounting for HIV-negative individuals in calculations and transmission models is important for appropriate interpretations. Their findings could be helpful in guiding prevention intervention strategies in hyperendemic settings. Monitoring HIV population viral load (PVL) has been advocated as an important means of inferring HIV transmission potential and predicting the future rate of new HIV infections (HIV incidence) in a particular community. However, the relationship between PVL measures and directly measured HIV incidence has not been quantified in any setting and, most importantly, in a hyperendemic sub-Saharan African setting. We assessed this relationship using one of Africa’s largest population-based prospective population cohorts in rural KwaZulu-Natal, South Africa in which we followed 8732 HIV-uninfected participants between 2011 and 2015. Despite clear evidence of spatial clustering of high viral loads in some communities, our results demonstrate that PVL metrics derived from aggregation of viral load data only from the HIV-positive members of a particular community did not predict HIV incidence in this typical hyperendemic, rural African population. Only once we used modified PVL measures, which combined viral load information with the underlying spatial variation in the proportion of the population infected (HIV prevalence), did we find a consistently strong relationship with future risk of HIV acquisition. For example, every 1% increase in the overall proportion of a population having detectable virus (PDVP) was independently associated with a 6.3% increase in an individual’s risk of HIV acquisition (P = 0.001). In hyperendemic African populations, these modified PVL indices could play a key role in targeting and monitoring interventions in the most vulnerable communities where the future rate of new HIV infections is likely to be highest.

Sexual trauma and post-traumatic stress among African female refugees and migrants in South Africa

BackgroundnWhile there is considerable research in developed countries on the nature and extent of post-traumatic stress among refugees and migrants, few report on female Africans migrating within Africa.nnnAimnThe aim of this study was to investigate the association between exposure to traumatic life events and post-traumatic stress disorder risk in refugees and migrants in Durban, South Africa, with specific focus on sexual trauma events among women.nnnMethodsnInterviews were conducted on 157 consenting non-South African adults using a sociodemographic questionnaire, Life Events Checklist (documenting traumatic events experienced) and the Harvard Trauma Questionnaire (measuring post-traumatic symptomatology). Associations between total number of traumatic events and post-traumatic stress were explored using adjusted regression models.nnnResultsnThe results of one model indicated that greater numbers of traumatic life events experienced by women were associated with raised odds of post-traumatic stress disorder risk (β = 1.48; p < 0.001). Another model indicated that exposure to sexual trauma events were associated with greater odds of post-traumatic stress disorder risk (β = 4.09; p = 0.02).nnnConclusionnOur findings highlight the critical importance of mental health service for females with history of sexual traumatic events for this vulnerable population.

Evidence on the Association Between Cigarette Smoking and Incident Depression From the South African National Income Dynamics Study 2008–2015: Mental Health Implications for a Resource-Limited Setting

IntroductionnAs a leading global disease risk factor, cigarette smoking has declined in some developed countries, but its health consequences are not well established in sub-Saharan Africa. This is particularly evident in South Africa, where few investigations have quantified the dually neglected challenges of cigarette smoking and depression, despite decades of research from developed countries. We investigated the association between cigarette smoking and incident depression, with the hypothesis that adolescents are particularly vulnerable.nnnMethodsnPanel data from the South African National Income Dynamics Study, a nationally representative sample of households at follow-up periods (years 2008-2015), were used. Our incident cohort consists of 14 118 adult participants who were depression free at baseline. The generalized estimating equation models were fitted to assess the association between current cigarette smoking and incident depression.nnnResultsnCurrent cigarette smoking among individuals aged at least 15 was significantly associated with incidents of depression among men (adjusted relative risk [aRR] = 1.16, 95% CI = 1.01 to 1.34), but not women. When the analyses were restricted to a sample population of older adolescents (ages 15-19), current cigarettes smoking was significantly associated with incident depression in both men (aRR = 1.84, 95% CI = 1.18 to 2.88) and women (aRR = 2.47, 95% CI = 1.15 to 5.29).nnnConclusionnThe results suggest an important relationship between cigarette smoking and incident depression, particularly among older adolescents, who are developmentally vulnerable and socioeconomically disadvantaged to experiencing depression. There is a considerable need to implement and prioritize culturally and developmentally appropriate prevention and cessation measures to reduce cigarette smoking and depression directed at adolescent populations.nnnImplicationsnThere has been little population level research into the role of smoking on depression in sub-Saharan Africa, a region classified as a tobacco epidemic in the making. Our results have major implications for the often neglected crosscutting issues of tobacco control (Sustainable Development Goal 3.9) and mental health (Sustainable Development Goal 3.4). They indicate the role of smoking on depression, with the association being particularly pronounced among adolescent who are developmentally vulnerable and socioeconomically disadvantaged, and emphasize the need to implement and prioritize prevention and cessation measures directed at this population.

A Nationwide Panel Study on Religious Involvement and Depression in South Africa: Evidence from the South African National Income Dynamics Study

Panel data from the South African National Income Dynamics Study, a nationally representative sample of households (years 2008, 2010 and 2012), were used to examine the longitudinal association between religious involvement and depression risk. Approximately 89.6–91.8% identified themselves as religiously affiliated, while 88.0–90.3% perceived religion to be important in South Africa during the observed study periods. A short-term association between religious involvement and significant depressive symptomatology was not detected, but logistic regression models that accounted for the clustering of repeated observations within participants indicated that, over time, those with religious affiliations (aOR 0.85, 95% CI 0.76–0.96) were at a lower risk than those not affiliated. Furthermore, individuals who reported religious activity as being important (aOR 0.81; 95% CI 0.73–0.91) were at less risk of significant depressive symptomatology over time than those rating religious activity as not important. Our study points to the potentially important role of religious involvement as an emerging area of investigation toward improving mental health at a population level in resource-limited settings.