Y. Negussie, Mihiret Shawel Getahun, Nardos Tilahun Bekele
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The collected data were entered into Epi info version 7.2 and exported to SPSS version 27 for analysis. A binary logistic regression model was used to analyze the association between dependent and independent variables. An adjusted odds ratio with the corresponding 95% confidence interval was used to measure the strength of the association and statistical significance was declared at a p-value < 0.05.The prevalence of diabetes-concordant comorbidities was 41% (95% CI: 36.2-46.0). The multivariable logistic regression model showed that age 41–60 (AOR = 2.86, 95% CI: 1.60–5.13), place of residence (AOR = 2.22, 95% CI: 1.33–3.70), having type two diabetes (AOR = 3.30, 95% CI: 1.21–8.99), and having positive proteinuria (AOR = 2.64, 95% CI: 1.47–4.76) were significantly associated with diabetes concordant comorbidities.The prevalence of diabetes-concordant comorbidities was relatively high. 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引用次数: 0
摘要
糖尿病并发症是一个严重的公共卫生问题,它增加了不良健康影响的风险,并使糖尿病管理复杂化。它还会损害情绪健康、服药依从性、自我管理和总体生活质量。然而,在埃塞俄比亚,尤其是在本研究地区,相关证据还很少。因此,本研究旨在估算埃塞俄比亚中部成年糖尿病患者中糖尿病并发症的患病率,并确定与并发症相关的因素。研究采用计算机生成的简单随机抽样来选择参与者。使用结构化数据提取清单收集数据。收集到的数据被输入 Epi info 7.2 版,并导出到 SPSS 27 版进行分析。采用二元逻辑回归模型分析因变量和自变量之间的关联。用调整后的几率和相应的 95% 置信区间来衡量相关性的强弱,当 p 值小于 0.05 时即为统计学意义。糖尿病合并症的患病率相对较高。年龄、居住地、糖尿病类型和蛋白尿阳性是糖尿病并发症的相关因素。预防、早期识别和妥善处理糖尿病合并症至关重要。
Factors associated with diabetes concordant comorbidities among adult diabetic patients in Central Ethiopia: a cross-sectional study
Diabetes comorbidities are a serious public health issue that raises the risk of adverse health effects and complicates diabetes management. It also harms emotional health, medication adherence, self-management, and general quality of life. However, evidence is scarce in Ethiopia, particularly in the study area. Thus, this study aimed to estimate the prevalence of diabetes concordant comorbidities and identify factors associated with the presence of concordant comorbidities among adult diabetic patients in central Ethiopia.A health facility-based cross-sectional study was conducted among 398 adult diabetic patients. A computer-generated simple random sampling was used to select study participants. Data were collected using a structured data extraction checklist. The collected data were entered into Epi info version 7.2 and exported to SPSS version 27 for analysis. A binary logistic regression model was used to analyze the association between dependent and independent variables. An adjusted odds ratio with the corresponding 95% confidence interval was used to measure the strength of the association and statistical significance was declared at a p-value < 0.05.The prevalence of diabetes-concordant comorbidities was 41% (95% CI: 36.2-46.0). The multivariable logistic regression model showed that age 41–60 (AOR = 2.86, 95% CI: 1.60–5.13), place of residence (AOR = 2.22, 95% CI: 1.33–3.70), having type two diabetes (AOR = 3.30, 95% CI: 1.21–8.99), and having positive proteinuria (AOR = 2.64, 95% CI: 1.47–4.76) were significantly associated with diabetes concordant comorbidities.The prevalence of diabetes-concordant comorbidities was relatively high. Age, place of residence, type of diabetes, and positive proteinuria were factors associated with diabetes-concordant comorbidities. Prevention, early identification, and proper management of diabetes comorbidities are crucial.