Research Articles

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Barriers to treatment and care for depression among the youth in Uganda: The role of mental health literacy
(Frontiers in Public Health, 2023) Amone-P’Olak, Kennedy; Kakinda, Adrian Ivan; Kibedi, Henry; Omech, Bernard
Background: Depression represents a significant mental health problem (MHP) in low- and middle-income countries (LMICs), especially among early adults. Nevertheless, most early adults with depression do not seek treatment. Failure to recognize depression and knowledge about mental health literacy (MHL) may contribute to poor help-seeking behavior. This study assessed MHL, access and barriers to mental health care for depression among early adults in Uganda. Methods: Data were collected from students in two of the largest universities in Uganda. Participants completed questionnaires on depression, MHL, sources of barriers and opportunities for MH service. Regression analyses and parametric tests were used to assess depression, access, barriers and opportunities to promote MH. Results: About 12 per cent (n = 56) of the respondents were at the level of moderately severe to severe depression. Mental health literacy (MHL) scores were generally low ranging from “Ability to recognize mental disorders” (mean = 19.32, SD 3.22, range 18–32), and “Knowledge of risk factors” (mean = 4.39, SD 1.17, range 2–8), and “Knowledge of available information” (mean = 9.59, SD 2.53, range 5–20). Respondents reported barriers such as “stigma/discrimination” (65.53%), “lack of knowledge of where to receive help” (65.15%), “lack of trust in health workers” (62.56%), and “distant health facilities” (19.70%) that impede access to treatment and care. MHL significantly predicted depression (based on a continuous scale) (β = 0.63, 95% confidence interval [CI]: [0.56, 0.70]) with the regression model yielding a significant fit [R 2 = 0.40, F (2, 460) = 189.84, p < 0.001]. Conclusions: MHL is low among university students amidst several barriers such as stigma, fear, and lack of trust. To attenuate the negative e
Knowledge of alcohol-disease links and sociodemographic factors as predictors of support for alcohol-related policies among university students in Botswana
(Drugs: Education, Prevention and Policy, 2019) Amone-P’Olak, Kennedy; Chilunga, Wilfred; Omech, Bernard; Renison Opondo, Phillip
Background: Worldwide, harmful alcohol use is causally related to about 60 diseases and is linked to about 3.3 million deaths annually. Yet, awareness of alcohol-disease links is low. Objective: This study aims to assess socio-demographic characteristics and knowledge of alcoholdisease links as predictors of support for alcohol-related policies. Methods: A survey of 615 university students (age¼19.8; SD¼1.6; 18–25) in Botswana assessed alcohol use and knowledge of alcohol-disease links as predictors of support for alcohol-related policies. T-tests and regression analyses were performed to estimate differences and predictors. Results: Forty per cent of respondents (n¼245) use alcohol, 38% (n¼93) of whom were hazardous users. Awareness of alcohol-disease links was low for diabetes (39%) and cancer (41%) but high for liver cirrhosis (89%) and injuries (87%). Female gender (relative to male) (b¼0.19, 95% CI: 0.11, 0.27), harmful alcohol use (b¼ 0.49, 95% CI: 0.56, 0.42), higher maternal education (b¼0.11, 95% CI: 0.02, 0.18), and more knowledge of alcohol-disease links (b¼0.13, 95% CI: 0.05, 0.21) predicted support for policies. Conclusions: Awareness of alcohol-disease links was low. Support for policies was predicted by being female (relative to male), reporting no harmful alcohol use, having more educated mothers, and knowledge of alcohol-disease links. Improving awareness of alcohol-disease links could be an effective intervention to increase support for alcohol-related policies.
Predictors of Somatic Symptomatology in War-Affected Youth in Northern Uganda: Findings from the WAYS Study
(Psychological Studies, 2020) Amone-P’Olak, Kennedy; Omech, Bernard
War experiences have been shown to have adverse long-term psychological sequelae. Nevertheless, the roles of different types of war events in predicting which mental health outcomes remain unclear. This study investigated the effects of different types of war events and socio-demographic characteristics on somatic symptoms in war-affected youth in Northern Uganda. A sample of 539 youth (mean age = 22.39; ± 2.03) participated in the study. Using maximum likelihood estimation in structural equation modelling, regression analyses were fitted to relate binary indicators of different types of war events to one latent factor capturing somatic symptoms. The results indicated that sex, marital status, and war types of ‘‘direct personal harm’’, ‘‘deaths’’, and ‘‘sexual abuse’’ independently and uniquely predicted somatic symptoms. Types of war events should be considered when planning interventions. Somatic symptoms may be a window into physical health and psychological sequelae. Implications for mental health service delivery are discussed.
Prevalence and determinants of metabolic syndrome: a cross-sectional survey of general medical outpatient clinics using National Cholesterol Education Program-Adult Treatment Panel III criteria in Botswana
(Dovepress, 2016) Omech, Bernard; Tshikuka, Jose-Gaby; Mwita, Julius C; Tsima, Billy; Nkomazana, Oathokwa; Amone-P’Olak, Kennedy
Background: Low- and middle-income countries, including Botswana, are facing rising prevalence of obesity and obesity-related cardiometabolic complications. Very little information is known about clustering of cardiovascular risk factors in the outpatient setting during routine visits. We aimed to assess the prevalence and identify the determinants of metabolic syndrome among the general outpatients’ attendances in Botswana. Methods: A cross-sectional study was conducted from August to October 2014 involving outpatients aged ≥20 years without diagnosis of diabetes mellitus. A precoded questionnaire was used to collect data on participants’ sociodemographics, risk factors, and anthropometric indices. Fasting blood samples were drawn and analyzed for glucose and lipid profile. Metabolic syndrome was assessed using National Cholesterol Education Program-Adult Treatment Panel III criteria. Results: In total, 291 participants were analyzed, of whom 216 (74.2%) were females. The mean age of the total population was 50.1 (±11) years. The overall prevalence of metabolic syndrome was 27.1% (n=79), with no significant difference between the sexes (female =29.6%, males =20%, P=0.11). A triad of central obesity, low high-density lipoprotein-cholesterol, and elevated blood pressure constituted the largest proportion (38 [13.1%]) of cases of metabolic syndrome, followed by a combination of low high-density lipoprotein, elevated triglycerides, central obesity, and elevated blood pressure, with 17 (5.8%) cases. Independent determinants of metabolic syndrome were antihypertensive use and increased waist circumference. Conclusion: Metabolic syndrome is highly prevalent in the general medical outpatients clinics. Proactive approaches are needed to screen and manage cases targeting its most important predictors.
The utilization of HbA1c test in the screening and diagnosis of type 2 diabetes mellitus: An outpatient clinics survey in Botswana
(Journal of Diabetes and Endocrinology, 2017) Omech, Bernard; Tshikuka, Jose-Gaby; Amone-P’Olak, Kennedy; Mwita, Julius; Tsima, Billy; Nkomazana, Oathokwa
This study aimed to assess HbA1c performance against single fasting blood glucose (FBG) for diagnosis of undiagnosed type 2 diabetes (T2D) and impaired fasting glycaemia (IFG) among general medical outpatients in Botswana. Participants aged, ≥20 years were cross-sectionally surveyed from August to October, 2014. All the participants underwent testing for HbA1c and FBG. The HbA1c sensitivity, specificity and predictive values in the diagnosis of T2D and IFG were computed and their Pearson’s correlation and scatter diagrams determined. A total of 291 participants (74.2% women) with a mean age of 50.1±11.0 years provided data for the current analysis. HbA1c at cut-off of ≥ 6.5% (48 mmol/mol) had a sensitivity and specificity for T2D of 100 (15.81 to 100.00) and 86.3% (86.16 to 89.92), respectively. Similarly, for IFG, the sensitivity and specificity was 100 (2.5 to 100) and 36.3% (30.3 to 42.6), respectively. The positive predictive value (PPV) was 4.8 (0.58 to 16.16) and 0.6% (0.02 to 3.45) for T2D and IFG screening, respectively. The negative predictive value (NPV) was 100% in both cases of T2D and IFG screening. HbA1c had a modest, positive correlation (r) with FBG for the overall population (r = 0.536, p < 0.001); for women, (r = 0 .578, p < 0.001) and men (r =0 .336, p =0.003). HbA1c had high sensitivity but widely varying specificity, high proportion of discordant results and poor prediction of T2D and IFG in this setting. Although, HbA1c correlation with fasting glucose was modest, both tests are required to improve diagnostic reliability in asymptomatic T2D screening program.
Validity of the Finnish Diabetes Risk Score for Detecting Undiagnosed Type 2 Diabetes among General Medical Outpatients in Botswana
(ournal of diabetes research, 2016) Omech, Bernard; Mwita, Julius Chacha; Tshikuka, Jose-Gaby; Tsima, Billy; Nkomazna, Oathokwa; Amone-P’Olak, Kennedy
This was a cross-sectional study designed to assess the validity of the Finnish Diabetes Risk Score for detecting undiagnosed type 2 diabetes among general medical outpatients in Botswana. Participants aged ≥20 years without previously diagnosed diabetes were screened by (1) an 8-item Finnish diabetes risk assessment questionnaire and (2) Haemoglobin A1c test. Data from291 participants were analyzed (74.2% were females). The mean age of the participants was 50.1 (SD = ±11) years, and the prevalence of undiagnosed diabetes was 42 (14.4%) with no significant differences between the gender (20% versus 12.5%, 𝑃 = 0.26). The area under curve for detecting undiagnosed diabetes was 0.63 (95% CI 0.55–0.72) for the total population, 0.65 (95% CI: 0.56–0.75) for women, and 0.67 (95% CI: 0.52–0.83) formen.The optimal cut-off point for detecting undiagnosed diabetes was 17 (sensitivity = 48% and specificity = 73%) for the total population, 17 (sensitivity = 56% and specificity = 66%) for females, and 13 (sensitivity = 53% and specificity = 77%) for males.The positive predictive value and negative predictive value were 20% and 89.5%, respectively. The findings indicate that the Finnish questionnaire was only modestly effective in predicting undiagnosed diabetes among outpatients in Botswana.

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