Diabetes mellitus is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion or insulin action. It can be caused by the consumption of carbohydrate meals or medication side effects. Depression as a comorbid condition in an individual with diabetes is accountable for increased disability, mortality, and significant health problem in patients. As a continent, Africa does not have an overall estimation of depression prevalence among diabetes mellitus patients at a regional level. Consequently, this study's purpose was to use the meta-analysis method to summarize estimates of extant studies that have reported depression prevalence among patients with diabetes mellitus in Africa. The literature search method was executed to classify studies with reported depression prevalence with evidently designed inclusion and exclusion criteria. In total, 20 studies from sundry screened articles were appropriate for ultimate inclusion in the meta-analysis. Since substantial heterogeneity was expected, a random-effects meta-analysis was carried out using the number of cases with a total sample size to estimate the prevalence of diabetes mellitus at a regional level. The residual amount of heterogeneity was found to be high according to the statistics of τ 2 ¼ 0.06; I 2 ¼ 99.10%, chi-square ¼ 2184.85, degree of freedom ¼ 19 and P ¼< 0.001. The pooled depression prevalence was 40% within a 95% confidence interval of 29%-51%. The meta-regression analysis result showed that none of the included moderators contributed to the heterogeneity of studies. The result of effect size estimates against its standard error showed publication bias with a P-value of 0.001. The meta-analysis findings of this study have indicated that depression prevalence in Africa is still high. Reporting on numerous risk factors like socio-demographic characteristics were not possible in this study because of a lack of completeness in the included articles. Consequently, screening diabetes patients for comorbid depression with its associated risk factors is highly recommended.

Student engagement is an essential device for deepening learning, achieving learning outcomes, developing competencies, and improving academic performance in education settings. It is widely receiving increased attention among various scholars and higher education leaders. However, there are increasing concerns about the academic performance of students in higher education settings. The application of statistical data analytics for mining student engagement datasets is a candidate strategy for discovering essential indicators associated with academic performance. However, widely used data analytic methods like principal component analysis are ineffective when most of the indicators captured are categorical, making them inappropriate for establishing the weighty academic performance indicators. This study’s objective was to investigate the application of multiple correspondence analysis to establish weighty student engagement indicators of academic performance. This study’s findings have indicated that higher-order learning and student-staff interaction are weighty indicators that relate student engagement to academic performance.

This paper examines how pastors engaged an online presence to preach the Word of God and address the needs of their congregations, during the crisis of the Covid-19 pandemic lockdown in South Africa. This is set against the Biblical instruction of Jesus Christ to Peter, to “feed my sheep” in John 21: 17, as it is the very same instruction that holds for pastors in churches today. However, the normal operations of the ministry have changed since the COVID-19 pandemic. The Christian church, a close-knit group of believers to whom social and physical distancing are foreign concepts, has had to adapt. Worship sites have been abandoned, and the absence of worshipers has become the norm. Pastoral ministries have been disrupted and call for pastors to embrace new technology to ensure that they have a digital presence with their congregation through social media. This paper argues that these circumstances give the church of God a unique opportunity to rethink how to continue ministry without physical contact. It adopted a mixed methods (qualitative and quantitative) approach, using an online questionnaire and telephonic surveys to engage pastors. The paper utilises the Two-way Communication Model (TCM) and the Uses and Gratification Theory (UGT). It concluded that pastoral care and spiritual counselling are essential in crises, that pastors have embraced social media in their mission, and that there is support for digital technology. The article recommendations that there should be a balanced communication strategy for Pastor’s ministries, and that government partners with faith-based organisations in different ways in a joint effort to combat the virus, while encouraging and supporting congregants.

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