Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Asefa A

PROVIDER: S-EPMC7174965 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Asefa Adane A Zewudie Ameha A Henok Andualem A Mamo Yitagesu Y Nigussie Tadesse T

Psychiatry journal 20200412

<h4>Background</h4>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 ...[more]

PMID: 32328503

Similar Datasets

Project description:ObjectiveTo assess the sexual health-seeking behaviour and identify the associated factors in men with diabetes mellitus attending in the northwest Amhara region hospitals, Ethiopia.DesignHopital-based cross-sectional study.SettingThe study was conducted in the northwest Amhara region hospitals between 20 February and 30 April 2020.ParticipantsA total of 389 men with diabetes were approached using a systematic random sampling technique. A face-to-face interviewer-administered questionnaire was used. The binary logistic regression was employed to identify factors contributing to sexual health-seeking behaviour. Odds Ratio with its corresponding 95% CI was used to measure the association. Factors with a p value ≤0.05 in multivariable logistic regression were deemed as significant factors.Outcome measuresParticipants were interviewed to respond whether they had sought sexual health service since they were notified to have diabetes mellitus.ResultsA quarter of men with diabetes (25%; 23.4%-27.6%) has sought sexual health service since they were diagnosed with diabetes mellitus. The odds of seeking sexual health service was reduced by 67% in participants who were not able to read and write (adjusted odds ratio (AOR)=0.33; 0.1-0.87) and 71% in participants who have attended primary/secondary education (AOR=0.29; 0.1-0.67) than those who have a diploma and above. Experiencing sexual dysfunction was also significantly associated with an increased odds of seeking sexual health service (AOR=7.1; 2.1-23).ConclusionsThe study remarks that just one-fourth of men with diabetes had sought sexual health services. Participants with lower educational status are less likely to seek sexual health services. Patients who have experienced sexual dysfunction sought the service well compared with their counterparts. Therefore, special emphasis should be given to men with lower educational status. Similarly, counselling patients to seek sexual health service before experiencing sexual dysfunction would help to improve sexual health-seeking behaviour.

Project description:Background:Over the past two decades, the prevalence of diabetes has increased faster in low- and middle-income countries than in high-income countries. Regardless of the instant growth in the prevalence of diabetes in Ethiopia, up-to-date data regarding glycemic control and related complications of diabetes is inadequate. This study aimed to identify glycemic control and chronic complications and their determinants among ambulatory diabetic patients at Mizan-Tepi University Teaching Hospital (MTUTH). Methods:We conducted facility-based cross-sectional study from February 25 to March 25, 2019, at Mizan-Tepi University Teaching Hospital. Patients' demographic data, diabetes complications, and treatments were collected using pretested questionnaire and data abstraction format. Data was entered by using Epidata manager 4.0.2.101, and statistical analysis was done by SPSS version 21. Bivariate logistic regression was done to see the association between independent variables and glycemic control and complication. Multivariable logistic regression analyses using backward selection were done to identify the predictors of poor glycemic control and complication at a P-value of <0.05. Results:One hundred ambulatory diabetic patients were included in this study. The mean duration of diabetes and the mean age of the participants were 3.95±5.85 and 46.66±15.53 years, respectively. About 71 (71%) of the studied diabetic patients had uncontrolled fasting blood glucose (FBG) level. More than half of the diabetic patients (59%) developed chronic complications of diabetes. Low medication adherence (adjusted odds ratio (AOR)=11.78, 95%CI: 1.09-17.17) and inappropriate doses in the first, second, and third clinic visits (AOR=7.70, 95%CI: 1.79-33.01; AOR=8.09, 95%CI: 1.90-34.33; AOR=4.34, 95%CI: 1.09-17.17), respectively, were independent predictors of uncontrolled FBG. No variable was found to be an independent predictor of chronic diabetic complication on multivariable logistic regression analyses. Conclusion:Poor glycemic control and diabetes complications among ambulatory diabetic patients were high. Low medication adherence and inappropriate doses in the first, second, and third clinic visits were independent predictors of poor glycemic control.

Project description:IntroductionDepression is one of the most common comorbid psychiatric disorders among diabetic patients. Depression among diabetic people has led to poor treatment adherence, defective treatment outcomes, and consequently worsened quality of life. However, there is a limited study conducted to assess the magnitude and factors associated with depression among diabetic patients in Ethiopia including this study area.ObjectiveThis study aimed to assess the prevalence and factors associated with depression among adult diabetic outpatients attending diabetic clinic in Eastern Ethiopia.MethodsAn institution-based cross-sectional study was conducted among 407 adult diabetic outpatients on treatment in Ethiopia in 2020. Patient Health Questionnaire-9 was used to assess depression among randomly selected samples. Bivariate and multivariate logistic regression was fitted to identify factors associated with depression among diabetic outpatients. A p value less than 0.05 with a 95% confidence interval was considered statistically significant.ResultsThe overall prevalence of depression among diabetic outpatients was found to be 48.9% (95% confidence interval: 44.2%, 53.4%). Being female (adjusted odds ratio = 1.50, 95% confidence interval: 1.39, 2.73), Khat chewing (adjusted odds ratio = 1.88, 95% confidence interval: 1.22, 2.93), having poor and moderate social support (adjusted odds ratio = 1.79, 95% confidence interval: 1.07, 2.98 and adjusted odds ratio = 1.90, 95% confidence interval: 1.14, 3.17, respectively), taking both oral hypoglycemic agents and insulin medication (adjusted odds ratio = 1.33, 95% confidence interval: 1.13, 2.80) and duration of diabetes mellitus for more than 6 years (adjusted odds ratio = 5.40, 95% confidence interval: 3.42, 8.14) were significantly associated with depression.ConclusionThis study revealed a relatively high prevalence of depression in diabetic outpatients. A lesser level of social support, taking oral and insulin treatment regimes, longer duration of illness, using Khat, and being female were associated with depression among diabetic outpatients. Therefore, early screening and identification of such factors could help ameliorate some of the deleterious effects of depression in diabetic outpatients.

Project description:ObjectiveTo assess the magnitude and factors associated with depression and anxiety among people with epilepsy and attending out-patient treatment at central Gondar zone primary public hospitals, northwest, Ethiopia.MethodAn institutional based cross-sectional study was conducted from May-June, 2020 at central Gondar zone primary public hospitals. A total of 589 participants were chosen by systematic sampling technique. Data was collected by utilizing Amharic version interviewer-administered structured and semi-structured questioners. Depression and anxiety were assessed by using hospital anxiety and depression scale. Bivariate and multivariate logistic regression analysis was done to recognize variables related to both depression and anxiety. Association was described by using "adjusted odds ratio" (AOR) along with 95% full Confidence interval (CI). Finally, P-values < 0.05 in adjusted analysis were taken as a cut off for significant association.ResultOut of 556 participants included in the study, 30.9%, 33.1% had depression and anxiety respectively. Being divorced/widowed (AOR = 2.43, 95% CI, 1.18-4.99), using two and above number of antiepileptic medications (AOR = 1.77,95% CI,1.02-3.09), very frequent seizure frequency (AOR = 2.68, 95% CI,1.30-5.51), current substance use (AOR = 1.82, 95% CI, 1.03-3.22), perceived stigma (AOR = 5.67,95% CI,3.14-8.18), and hazardous alcohol use (AOR = 2.84, 95% CI,1.32-6.09) were statistically associated with depression. While, being a single (AOR = 1.65, 95% CI, 1.04-2.63), using two and above number of antiepileptic medications (AOR = 2.27, 95% CI, 1.42-3.62), duration of illness ≥16 years (AOR = 2.82, 95% CI, 1.26-6.31), and perceived stigma (AOR = 2.49, 95% CI, 1.63-3.82) were statistically associated with anxiety at a p-value < 0.05.ConclusionThis study showed that the magnitude of depression and anxiety were relatively high among people with epilepsy. Using two and above number of antiepileptic medications and perceived stigma were statistically associated with both depression and anxiety. Screening, early identification and providing appropriate intervention of depression and anxiety among people with epilepsy should be great concern for the health care providers.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets