Neurocognitive Dysfunction and predictors in non-CNS cancer patients: Rationale and methods for the neuro-oncology research at a South African academic hospital.

Background: The focus on central nervous system (CNS) malignancies has overshadowed scant but substantial research that suggests non-central nervous cancer patients experience cancer-related cognitive impairment (CRCI), which affects higher-order brain function and influences their quality of life. Despite such evidence of the occurrence of CRCI among non-CNS cancer patients, the factors associated with the CRCIs remain a highly debated issue with discrepancies noted. Whether non-CNS cancer itself can affect the brain independent of cancer treatment is an important question to unpack. This necessitates further research, particularly in the sub-Saharan region where the evidence is limited. Methods: This study aims to assess the effect of chemotherapy-associated cognitive and affective changes in non-CNS cancer patients. A non-experimental, time-series, correlational design will be used, in which a battery of computerized neuropsychological tests will be administered, including the e-MoCA, the CNS Vital Signs, the Patient Health Questionnaire-4, the Center for Epidemiologic Studies Depression Scale, the Hamilton Anxiety Rating Scale, the Functional Assessment of Cancer Therapy-Fatigue, and the Semi-structured Interview Schedule. Descriptive and inferential statistical analysis will be conducted, as well as NVivo thematic analysis of the qualitative data. The scope of the neurocognitive issues and risk factors that may be present in cancer patients and survivors in a developing environment could be determined by this study. Implications: The study is expected to extend research on the extent at which cancer and cancer treatments are associated with neurocognitive changes among non-CNS cancer patients and their impact on their quality of life in the local context. The results are expected to inform treatment providers to develop treatment guidelines tailored for individuals diagnosed with cancer and who have received cancer treatment, as well as individualized psychosocial interventions aimed at addressing psychological challenges associated with quality of life among cancer survivors.

Depression: Determinants That Influence the Mental Health of Older People (60 Years +) in Botswana.

Correlates of depression in older people were explored in this study. The prevalence of depression was also calculated. Data were collected using a cross-sectional study stratified by district in urban and rural Botswana using the Patient Health Questionnaire. A snowballing technique was utilized to recruit older participants (N = 378; age = 71.8; SD = 9.1) with low to high incomes. Univariate and multivariate analyses were used to investigate the associations among demographics, individual, social, and environmental factors, and depression. The prevalence of depression and social impairment in older people was 7.8% and 20.6%. The correlates significantly associated with depression in Model 2 were education, income earned, resilience, and self-esteem (F (6, 358) = 19.5, p < .001; R2 = 23%) after adjusting for all influencing factors. Self-perceived health was associated with depression in Model 3 [F (11,340) = 12.5, p < .001; R2 = 28%]. In the final model, resilience, quality of life (QOL), and leisure were significantly associated with depression (p < .001), followed by anxiety, somatic symptoms, and social impairment (p < .05) [F (20,214) = 9.2, p < .001; R2 = 46%]. Findings provide preliminary information on the determinants of depression for further review by the research community. Stakeholders should also take cognizance of these correlates during their practice to curb depression in older people.

Anxiety and somatization: prevalence and correlates of mental health in older people (60+ years) in Botswana.

OBJECTIVE: This study explored key factors that influence mental health in older people in Botswana. The prevalence of anxiety and somatization in the elderly population was also calculated. METHODS: A cross-sectional study stratified by district was done to collect information on the elderly (N = 378; age: M = 71.8, SD = 9.1). The Patient Health Questionnaire (PHQ) and generalized anxiety disorder (GAD-7) measures were used to collect data on the outcome variables (somatization and anxiety). Bivariate and multivariate analyses were used to investigate the associations among the predictor variables and each of the outcome variables. RESULTS: The prevalence of anxiety and somatization in older people was 18.6% and 25.3%. The correlates significantly associated with somatization in the final model after adjusting for all influencing factors were: area of residence (rural) (OR: 2.5, 95% CI: 1.4-5), self-perceived health, non-medication use, self-esteem, and mastery. With regards to anxiety, non-medication use (OR: 0.2, 95% CI: 0-0.9), lack of social support, low self-esteem (OR: 3.6, 95% CI: 1.6 - 9.4), and poor QOL (OR: 0.46, 95% CI: 0.2-0.9) were significantly associated with anxiety. CONCLUSIONS: Eradicating poverty, provision of services, promoting positive emotions, changing health perceptions and QOL may augment mental health in older people.

Psychiatric epidemiological survey of university students in Botswana: rationale and methods of the Youth Mental Health Study (YMHS).

BACKGROUND: While the burden of disease attributable to mental disorders in low/middle-income countries (LMICs) is lower than high-income countries, there is recognition that the dearth of evidence from the LMICs may underestimate the actual prevalence and burden associated with mental disorders. Such is likely the case for Botswana where there has been no nationally representative data on the prevalence of symptoms of mental disorders or even a subgroup estimation of mental disorders in the country. Thus, the Youth Mental Health Study (YMHS) aims to estimate the prevalence and identify predictors of symptoms of mental disorders among university students in Botswana to add to the evidence and contribute to the country's health service planning. METHODS: The YMHS is a cross-sectional study of youth (18-29 years) attending six large universities (accounting for nearly half of the tertiary student population) in Botswana. A stratified sampling procedure with proportionate allocation and selection is used to select a representative sample of 1308 participants. An online survey comprising of a battery of reliable and validated self-report measures of symptoms of mental disorders is used. A developmental psychopathology framework is used in identifying the risk factors of mental disorders. Participant recruitment will span over 4 months beginning in February 2020. ETHICS AND DISSEMINATION: The study has received ethics approval from the University of Botswana Institutional Review Board, and the Ministry of Health and Wellness. Participants will be provided with feedback of their own results. Aggregated findings will be disseminated to stakeholders in the tertiary education and health sector in Botswana, and through peer-reviewed journals, conference presentations and the media.