23 research outputs found
The epidemiology of major depression in South Africa: Results from the South African Stress and Health study
Background. Mental disorders are a major contributor to the burden of disease in all regions of the world. There are limited data on the epidemiology of major depressive disorder in South Africa.Methods. A nationally representative household survey was conducted between 2002 and 2004 using the World Health Organization Composite International Diagnostic Interview (CIDI) to establish a diagnosis of depression. The dataset analysed included 4 351 adult South Africans of all racial groups.Results. The prevalence of major depression was 9.7% for lifetime and 4.9% for the 12 months prior to the interview. The prevalence of depression was significantly higher among females than among males. The prevalence was also higher among those with a low level of education. Over 90% of all respondents with depression reported global role impairment.Conclusion. In comparison with data from other countries, South Africa has lower rates of depression than the USA but higher rates than Nigeria. The findings are broadly consistent with previous findings in South Africa. These findings are the first step in documenting a level of need for care in a context of significant under-funding of mental health services and research in South Afric
Patterns of substance use in South Africa: Results from the South African Stress and Health study
Background. There are limited data on substance use in SouthAfrica. We describe patterns of substance use based on recent, nationally representative data.Methods. Data were derived from the 2002 - 2004 South African Stress and Health (SASH) study. A nationally representative household probability sample of 4 351 adults was interviewed using the paper and pencil version of the World Health Organization Composite InternationalDiagnostic Interview (CIDI). Data are reported for lifetime use, socio-demographic correlates of use, and age of cohort predicting lifetime use for four classes of drugs.Results. The estimate for cumulative occurrence of alcohol use was 38.7%, of tobacco smoking 30.0%, of cannabis use 8.4%, of other drug use 2.0%, and of extra-medical psychoactive drug use 19.3%. There were statistically significant associations between male gender and alcohol, tobacco, cannabis and other drug use. Coloureds and whites were more likely than blacks to have used alcohol, tobacco and other drugs. Clear cohort variations existed in the age of initiation of drug use; these were most marked for other drugs and for extra-medicaldrug use. Use of all drug types was much more common in recent cohorts, with a similar cumulative incidence of tobacco, alcohol and cannabis use across age cohorts.Conclusions. Epidemiological patterns of use for alcohol, tobacco, cannabis, other drugs and extra-medical drugs provide the first nationally representative data. New findings on race and exploratory data on time trends provide a foundation for future epidemiological work on drug use patterns across birth cohorts and population subgroups inSouth Africa
DSM-IV-defined common mental disorders: Association with HIV testing, HIV-related fears, perceived risk and preventive behaviours among South African adults
Background. There are few reports from South Africa on how common mental disorders may be associated with HIVrelated perceptions and behaviours.Methods. Between 2002 and 2004, 4 351 South African adults were interviewed. Psychiatric diagnoses of depression, anxiety and substance abuse disorders were based on the Diagnostic and Statistical Manual, 4th edition (DSM-IV). HIVrelated fears, perceived risk and behaviour change were measured using multi-item scales. We analysed forms of behaviour change that were appropriate for risk reduction (such as changes in sexual behaviour) separately frombehaviour changes that were inappropriate to prevent HIV (such as care over things touched or avoiding certain social situations).Results. The presence of any DSM-IV-defined disorder during the previous 12 months was associated with previous HIV testing, increased HIV-related fears, and high levels of perceived risk of HIV. There were no associations between depression, anxiety and substance abuse disorders and appropriate forms of behaviour change for HIV riskreduction. However, individuals with an anxiety or a depressive disorder were more likely to report inappropriate forms of behaviour change. For example, individuals with any depressive and/or anxiety disorders were 1.57 and 1.47 times more likely, respectively, to report avoiding certain social situations to prevent HIV/AIDS compared withthose who did not have such disorders (
Evaluation of a school-based physical activity intervention in Alexandra Township
Objectives. Non-communicable diseases and limited participation in school physical education have become increasing concerns in South Africa. In response to these concerns, a schoolbased physical activity intervention, Healthnutz, was implemented in three primary schools in Alexandra Township, Johannesburg. Evaluation of Healthnutz included assessing its feasibility and acceptability, and short-term changes in learners’ physical fitness, knowledge and attitudes. Methods. To assess feasibility and acceptability, a situational analysis and focus groups with teachers and programme monitors were conducted. Pre-post fitness testing (3-month interval) was conducted with learners, and a questionnaire assessed changes in learners’ knowledge, attitudes, self-efficacy, and perceived barriers to physical activity, in control and intervention schools. Results. At implementation, teachers identified the need for more physical activity in the school environment and were positive about Healthnutz. Follow-up focus group discussions suggested that it was positively impacting teachers, learners and the school in general. Scores for sit and reach (p<0.001), sit ups (p<0.02) and shuttle run (p<0.0001) improved significantly in intervention but not control schools. A significant decrease was observed in learners’ perceived external barriers to physical activity (p<0.0001) along with a positive change in learners’ self-efficacy for physical activity (p<0.05). Conclusions. Healthnutz raised awareness of the importance of physical activity in intervention schools. Findings indicate that even limited exposure to a physical activity intervention can lead to a significant improvement in aspects of learners’ fitness, knowledge, attitudes and perceptions regarding physical activity. Furthermore, training and support of teachers needs to be nonjudgemental and empowering
Proteomics approaches to fibrotic disorders
This review provides an introduction to mass spectrometry based proteomics and discusses several proteomics approaches that are relevant in understanding the pathophysiology of fibrotic disorders and the approaches that are frequently used in biomarker discovery
Identifying models of HIV care and treatment service delivery in Tanzania, Uganda, and Zambia using cluster analysis and Delphi survey.
BACKGROUND: Organization of HIV care and treatment services, including clinic staffing and services, may shape clinical and financial outcomes, yet there has been little attempt to describe different models of HIV care in sub-Saharan Africa (SSA). Information about the relative benefits and drawbacks of different models could inform the scale-up of antiretroviral therapy (ART) and associated services in resource-limited settings (RLS), especially in light of expanded client populations with country adoption of WHO's test and treat recommendation. METHODS: We characterized task-shifting/task-sharing practices in 19 diverse ART clinics in Tanzania, Uganda, and Zambia and used cluster analysis to identify unique models of service provision. We ran descriptive statistics to explore how the clusters varied by environmental factors and programmatic characteristics. Finally, we employed the Delphi Method to make systematic use of expert opinions to ensure that the cluster variables were meaningful in the context of actual task-shifting of ART services in SSA. RESULTS: The cluster analysis identified three task-shifting/task-sharing models. The main differences across models were the availability of medical doctors, the scope of clinical responsibility assigned to nurses, and the use of lay health care workers. Patterns of healthcare staffing in HIV service delivery were associated with different environmental factors (e.g., health facility levels, urban vs. rural settings) and programme characteristics (e.g., community ART distribution or integrated tuberculosis treatment on-site). CONCLUSIONS: Understanding the relative advantages and disadvantages of different models of care can help national programmes adapt to increased client load, select optimal adherence strategies within decentralized models of care, and identify differentiated models of care for clients to meet the growing needs of long-term ART patients who require more complicated treatment management