Ogunsakin Ropo Ebenezer, Olugbara Oludayo O, Moyo Sibusiso, Israel Connie
ICT and Society Research Group, South Africa Luban Workshop, Durban University of Technology, Durban, South Africa.
Heliyon. 2021 May 21;7(5):e07085. doi: 10.1016/j.heliyon.2021.e07085. eCollection 2021 May.
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 = 0.06; I = 99.10%, chi-square = 2184.85, degree of freedom = 19 and P =< 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.
糖尿病是一组代谢性疾病,其特征是由于胰岛素分泌缺陷或胰岛素作用缺陷导致高血糖。它可能由碳水化合物餐的摄入或药物副作用引起。抑郁症作为糖尿病患者的一种共病状况,是导致患者残疾增加、死亡率上升和严重健康问题的原因。作为一个大陆,非洲在区域层面上没有对糖尿病患者中抑郁症患病率的总体估计。因此,本研究的目的是使用荟萃分析方法来总结已报道非洲糖尿病患者抑郁症患病率的现有研究估计值。采用文献检索方法,根据明确设计的纳入和排除标准对报道抑郁症患病率的研究进行分类。总共从各种筛选文章中选出20项研究适合最终纳入荟萃分析。由于预期存在显著异质性,使用病例数和总样本量进行随机效应荟萃分析,以估计区域层面的糖尿病患病率。根据统计数据τ = 0.06;I = 99.10%,卡方 = 2184.85,自由度 = 19且P =< 0.001,发现异质性的剩余量很高。合并的抑郁症患病率在95%置信区间为29%-51%时为40%。荟萃回归分析结果表明,纳入的调节因素均未导致研究的异质性。效应大小估计值相对于其标准误差的结果显示存在发表偏倚,P值为0.001。本研究的荟萃分析结果表明,非洲的抑郁症患病率仍然很高。由于纳入文章缺乏完整性,本研究无法报告社会人口统计学特征等众多风险因素。因此,强烈建议对糖尿病患者进行合并抑郁症及其相关风险因素的筛查。