Understanding the complex relationship between multidimensional poverty and depressive symptoms among young South Africans: A cross-sectional study.

BACKGROUND: We use the Global Multidimensional Poverty Index (MPI) to explore how different dimensions of poverty more directly linked to young people are associated with depressive symptoms among South African youth. METHODS: Data came from the 2017 wave of the nationally-representative National Income Dynamics Study (NIDS) in South Africa. We focused on a sample of 15-24-year-olds whose depressive symptoms were assessed using an adapted version of the 10-item Centre for Epidemiological Studies Depression Scale. We examine how individual dimensions and indicators of the MPI relate to depression, in comparison to more conventional measures, including household income, subjective social standing, overcrowding and personal assets. Cross-sectional analyses were adjusted for clustering to account for sampling design. RESULTS: The MPI index was not associated with probable depression (OR = 1.02, 95 % CI 0.81-1.29). Only lack of access to the labour market emerged as a key individual dimension associated with probable depression (OR = 5.29, 95 % CI 1.70-16.47), a relationship driven by an increased odds for those not in employment, education or training. Lack of household assets, living in an informal dwelling and lower perceived social standing were also associated with increased odds for depression. No gender differences were noted. LIMITATIONS: The study is cross-sectional and not suitable to examine the causal nature of the association between multidimensional poverty and depression. CONCLUSIONS: Poverty dimensions that measure youth's access to employment or training have a strong association with depression. Further research is needed to assess whether improved access to employment or training contributes to improving mental health among young South Africans.

Cash transfers and the mental health of young people: Evidence from South Africa's child support grant.

This study examines the longitudinal impact of the South African Child Support Grant (CSG) on risk for depression and life satisfaction among young people (15-19 years). We analysed data from the last three waves of the National Income Dynamics Study (NIDS), a nationally representative panel survey that took place every two years from 2008 to 2017. We used an instrumental variable (IV) approach that exploits multiple changes in age eligibility from 1998 to 2012. Depressive symptoms were assessed using an 8-item version of the Centre for Epidemiological Studies Depression Scale; participants who scored above 8 were considered at risk for depression. Life satisfaction was rated on a scale of 1 ('very dissatisfied') to 10 ('very satisfied'); participants who scored 8 or above were classified as satisfied. We also examined impacts on educational deficit (≥2 years behind) and not being in education, employment or training (NEET) as secondary outcomes, as these are also important for mental health. Age eligibility strongly predicted CSG receipt at Wave 3. In instrumental variable models, CSG receipt did not influence the risk for depression (ß = 0.10, SE = 0.10, p = 0.316), nor life satisfaction (ß = -0.07, SE = 0.09, p = 0.420) at Wave 3, nor at Waves 4 or 5. Some improvements in educational deficit were observed at Wave 3 among CSG beneficiaries compared to non-beneficiaries. These results were robust to multiple specifications. CSG receipt did not improve the psychological wellbeing of adolescents and young adults, nor did it improve their education or employment outcomes. Our findings highlight the need to identify alternative social policies that address the root causes of youth social disadvantage, in conjunction with targeted approaches to improve the mental health of young South Africans living in poverty.

Impact of integrated district level mental health care on clinical and functioning outcomes of people with depression and alcohol use disorder in Nepal: a non-randomised controlled study.

BACKGROUND: Integration of mental health services into primary healthcare is proliferating in low-resource countries. We aimed to evaluate the impact of different compositions of primary care mental health services for depression and alcohol use disorder (AUD), when compared to usual primary care services. METHODS: We conducted a non-randomized controlled study in rural Nepal. We compared treatment outcomes among patients screening positive and receiving: (a) primary care mental health services without a psychological treatment component (TG); (b) the same services including a psychological treatment (TG + P); and (c) primary care treatment as usual (TAU). Primary outcomes included change in depression and AUD symptoms, as well as disability. Disability was measured using the 12-item WHO Disability Assessment Schedule. Symptom severity was assessed using the 9-item Patient Health Questionnaire for depression, the 10-item Alcohol Use Disorders Identification Test for AUD. We used negative binomial regression models for the analysis. RESULTS: For depression, when combining both treatment groups (TG, n = 77 and TG + P, n = 60) compared to TAU (n = 72), there were no significant improvements. When only comparing the psychological treatment group (TG + P) with TAU, there were significant improvements for symptoms and disability (aß = - 2.64; 95%CI - 4.55 to - 0.74, p = 0.007; aß = - 12.20; 95%CI - 19.79 to - 4.62; p = 0.002, respectively). For AUD, when combining both treatment groups (TG, n = 92 and TG + P, n = 80) compared to TAU (n = 57), there were significant improvements in AUD symptoms and disability (aß = - 15.13; 95%CI - 18.63 to - 11.63, p < 0.001; aß = - 9.26; 95%CI - 16.41 to - 2.12, p = 0.011; respectively). For AUD, there were no differences between TG and TG + P. Patients' perceptions of health workers' skills in common psychological factors were associated with improvement in depression patient outcomes (ß = - 0.36; 95%CI - 0.55 to - 0.18; p < 0.001) but not for AUD patients. CONCLUSION: Primary care mental health services for depression may only be effective when psychological treatments are included. Health workers' competencies as perceived by patients may be an important indicator for treatment effect. AUD treatment in primary care appears to be beneficial even without additional psychological services.

Evaluation of the impacts of a district-level mental health care plan on contact coverage, detection and individual outcomes in rural Uganda: a mixed methods approach.

BACKGROUND: The burden of mental disorders in low- and middle-income countries is large. Yet there is a major treatment gap for these disorders which can be reduced by integrating the care of mental disorders in primary care. AIM: We aimed to evaluate the impact of a district mental health care plan (MHCP) on contact coverage for and detection of mental disorders, as well as impact on mental health symptom severity and individual functioning in rural Uganda. RESULTS: For adults who attended primary care facilities, there was an immediate positive effect of the MHCP on clinical detection at 3 months although this was not sustained at 12 months. Those who were treated in primary care experienced significant reductions in symptom severity and functional impairment over 12 months. There was negligible change in population-level contact coverage for depression and alcohol use disorder. CONCLUSION: The study found that it is possible to integrate mental health care into primary care in rural Uganda. Treatment by trained primary care workers improves clinical and functioning outcomes for depression, psychosis and epilepsy. Challenges remain in accessing the men for care, sustaining the improvement in detection over time, and creating demand for services among those with presumed need.