Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach
المؤلفون المشاركون
Tusa, Biruk Shalmeno
Alemayehu, Mekuriaw
Weldesenbet, Adisu Birhanu
Kebede, Sewnet Adem
Dagne, Getachew Asfaw
المصدر
Depression Research and Treatment
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-21
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Background.
Depression is one of the most pressing public health problems and also highly prevalent comorbid condition among diabetes mellitus (DM) patients.
Depression may impact lifestyle decisions and ability to poorly perform tasks which are risk factors for DM.
For reducing the impact of depression among DM patients in developing countries, it is crucial to identify and assess associated risk factors of depression among DM patients, thereby designing effective management techniques.
In line with this, the current study applies the Bayesian framework, which pools prior information and current data, to find factors associated with depression among DM patients.
Methods.
A hospital-based cross-sectional study was conducted at Adama Hospital and Medical College (AHMC) from March to April 2019.
Data was entered into the Epi-data 3.1 then exported to the R software 3.4.4.
Bayesian logistic regression models were fitted to the data using the Markov chain Monte Carlo (MCMC) algorithm.
Estimates of model parameters including adjusted odds ratio (AOR) with 95% credible intervals (CI) were calculated.
Results.
A total of 359 adults with DM were included in the analysis.
The prevalence of depression among diabetic patients was 9.22% (95% CI: 6.4% to 12.7%).
Higher fasting blood sugar level (AOR=−1.012; HPD CI: (1.0020, 1.025)), having diabetic complication (AOR=0.1876; HPD CI: (0.0214, 0.671)), history of hospital admission (AOR=0.2865; HPD CI: (0.0711, 0.7318)), low medication adherence (AOR=29.29; HPD CI: (3.383, 92.26)), and taking both insulin and oral antidiabetic medication (AOR=24.46; HPD CI: (15.20, 49.37) were significantly and strongly associated with depression among DM patients.
Conclusions.
Prevalence of depression among diabetes patients in the catchment area of Adama Hospital, Ethiopia, was found to be very low.
Higher fasting blood sugar level, diabetic complication, history of hospital admission, low medication adherence, and taking both insulin and oral antidiabetic medication were found to be strong predictors of prevalence of depression among DM patients.
Based on the findings, we recommend that integrating screening and treating of depression, early detection and management of diabetic complication, and giving counseling to improve medication adherence is an effective approach for lowering the impact of depression on DM patients.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tusa, Biruk Shalmeno& Alemayehu, Mekuriaw& Weldesenbet, Adisu Birhanu& Kebede, Sewnet Adem& Dagne, Getachew Asfaw. 2020. Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach. Depression Research and Treatment،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1154365
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tusa, Biruk Shalmeno…[et al.]. Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach. Depression Research and Treatment No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1154365
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tusa, Biruk Shalmeno& Alemayehu, Mekuriaw& Weldesenbet, Adisu Birhanu& Kebede, Sewnet Adem& Dagne, Getachew Asfaw. Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach. Depression Research and Treatment. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1154365
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1154365
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر