Depression in diabetic patients attending University of Gondar Hospital Diabetic Clinic, Northwest Ethiopia

Birhanu, Anteneh Messele; Alemu, Fekadu Mazengia; Ashenafie, Tesfaye Demeke; Balcha, Shitaye Alemu; Dachew, Berihun Assefa

doi:10.2147/dmso.s97623

Cited by 18 publications

(10 citation statements)

References 31 publications

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“…This finding is comparable with studies conducted in Peru (11.2%) [ 19 ] and the USA (8.3%) [ 7 ]. However, this result is lower than studies conducted in Ethiopia (15.4 to 64.9%) [ 9 – 15 ], Tanzania (30%) [ 29 ], Nigeria (30%) [ 30 ], Uganda (34.8%) [ 31 ], Sudan (44%) [ 32 ], Pakistan (14.7%) [ 33 ], and Iran (71.8%) [ 8 ]. The possible explanation for these differences might be due to the types of diagnostic tools used to assess depression and its respective cut of value used to decide depression has occurred.…”

Section: Discussionmentioning

confidence: 72%

“…Prevalence of depression among DM patients varies across countries with 8.3% % in the USA [ 7 ] to 71.8% in Iran [ 8 ], and in Ethiopia, it is ranging from 15.4 to 64.9% [ 9 – 15 ] with 39.73% pooled prevalence [ 16 ]. The presence of depression among diabetic patients increases the noncompliance to the medical treatment, decreases the quality of life, increases the risk of complication, results in poor prognosis, and increases mortality.…”

Section: Introductionmentioning

confidence: 99%

“…Reducing the prevalence of depression among diabetes patients by designing effective management evidence on associated factors of depression among DM patients is crucial. For that reason, various studies have been piloted at different part of Ethiopia using classical logistic regressions with small datasets [ 9 – 15 ]. However, for small datasets, a Bayesian approach is preferred, and the current study applies the Bayesian framework (logistic regressions) which pools the prior information with current data to identify factors associated with depression among DM patients.…”

Section: Introductionmentioning

confidence: 99%

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Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

Tusa

Alemayehu

Weldesenbet

et al. 2020

Depression Research and Treatment

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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.

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Section: Discussionmentioning

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

Tusa

Alemayehu

Weldesenbet

et al. 2020

Depression Research and Treatment

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“…The occurrence of depression in people with diabetes mellitus is about two to three times higher compared to the general population [11][12][13]. Studies have reported varying results on the prevalence of depression in diabetes patients that ranges from 5.9% to 87% [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Depression and Its Associated Factors among Diabetes Mellitus Patients Attending Selected Hospitals in Southwest Ethiopia: A Cross-Sectional Study

et al. 2020

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Background. Diabetes mellitus and depression are very common diseases worldwide, and the prevalence rates of both conditions are increasing rapidly. Depression among patients with diabetes mellitus results in poor glycemic control through different mechanisms. Besides, the coexistence of a chronic medical illness with depression reduces the probability of recognizing and treating depression. The study is aimed at assessing the prevalence and factors associated with depression among adults with diabetes mellitus. Methods. A hospital-based cross-sectional study was conducted among adult diabetes mellitus patients on follow-up in Mizan-Tepi University Teaching Hospital and Tepi General Hospital. A consecutive sampling technique was employed to recruit the study participants, and data were collected through face-to-face interview and medical chart review. Depression was measured using Patient Health Questionnaire-nine (PHQ-9). Binary logistic regression analysis was done and a p value of less than 0.05 was used as a level of significance. Results. The prevalence of depression among study participants was 37.0% (95% CI 32.0%-42.0%). The majority (44.7%) of the patients had mild depression, while only 2% had severe depression. Being male (AOR=1.92, 95% CI: 1.15-3.22), urban residence (AOR=3.02, 95% CI: 1.57-5.78), single marital status (AOR=7.72, 95% CI: 3.6-16.53), duration of diabetes mellitus 5 years and more (AOR=2.00, 95% CI: 1.21-3.5), and having sexual dysfunction (AOR=3.55, 95% CI: 2.13-5.91) were associated with increased odds of depression among diabetes mellitus patients. Conclusions. The prevalence of depression among diabetes mellitus was high. Therefore, the patients should be thoroughly screened for this comorbid condition, and the significant factors should be addressed during routine follow-up.

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“…The prevalence of depression in T2D patient was 5.5–49.6% [10, 14–22]. Even though most studies was on Western samples, there have been emerging studies in developing countries including Ethiopia [16, 23–25]. A cross-sectional study by Erkie et al described depression was diagnosed in 64.8% of T2D outpatient [23].…”

Section: Introductionmentioning

confidence: 99%

Comorbidity of depression and diabetes: an application of biopsychosocial model

Islam

Tsige

Tegegne

2016

Int J Ment Health Syst

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BackgroundType 2 diabetes (T2D) is one of the most psychologically demanding chronic medical illness in adult. Comorbidity between diabetes and depression is quite common, but most studies were based on developed country sample. Limited data exists to document biopsychosocial predictors of depressive symptoms in Ethiopian patients. Therefore, the aim of the study was to describe the association of depressive symptoms and T2D and explore the potential underlying associated biopsychosocial risk factors.MethodsInstitution based cross-sectional study was conducted on 276 patient with T2D at diabetic clinic, Black Lion General Specialized Hospital in Ethiopia. Patients were selected using systematic random sampling technique. Depressive symptoms score, which constructed from a validated nine-item Patient Health Questionnaire (PHQ-9), was an outcome variable. Finally, significant associated factors were identified using multiple linear regression analysis with backward elimination procedure. Statistical Package for Social Science (SPSS) version 22.0 (IBM SPSS Corp.) was used to perform all analysis.ResultsTotal of 264 patient data was analyzed with 95.7% response rate. Patients mean (SD) current age and age at diagnosis was 55.9 (10.9) and 43.9 (10.9) years, respectively. Patients waist circumference (mean ± SD) was 98.9 ± 11.1 cm. The average PHQ-9 score was 4.9 (SD 4.1) and fasting blood glucose was 166.4 (SD 73.2). Marital status (divorced), occupation (housewife), diabetic complication (nephropathy), negative life event in the last six months, and poor social support significantly associated with increased mean PHQ-9 score after adjustment for covariates. Whereas not fearing diabetic-related complication and death significantly lower mean PHQ-9 score.ConclusionBiopsychosocial variables including marital status, negative life event in the last 6 months, occupation, diabetic complication, and poor social support significantly increase average depressive symptoms score. Evidence-based intervention focusing on these identified biopsychosocial factors are necessary to prevent the development of depressive symptoms.Electronic supplementary materialThe online version of this article (doi:10.1186/s13033-016-0106-2) contains supplementary material, which is available to authorized users.

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Depression in diabetic patients attending University of Gondar Hospital Diabetic Clinic, Northwest Ethiopia

Cited by 18 publications

References 31 publications

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

Depression and Its Associated Factors among Diabetes Mellitus Patients Attending Selected Hospitals in Southwest Ethiopia: A Cross-Sectional Study

Comorbidity of depression and diabetes: an application of biopsychosocial model

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