Background Depression is a leading cause of disability worldwide and is a major contributor to the overall global burden of disease. It is also one of the most common geriatric psychiatric disorders and a major risk factor for disability and mortality in elderly patients. Even though depression is a common mental health problem in the elderly population, it is undiagnosed in half of the cases. Several studies showed different and inconsistent prevalence rates in the world. Hence, this study aimed to fill the above gap by producing an average prevalence of depression and associated factors in old age. Objective This study aims to conduct a systematic review and meta-analysis to provide a precise estimate of the prevalence of depression and its determinants among old age. Method A comprehensive search of PubMed, Scopus, Web of sciences, Google Scholar, and Psych-info from database inception to January 2020. Moreover, the reference list of selected articles was looked at manually to have further eligible articles. The random-effects model was employed during the analysis. Stata-11 was used to determine the average prevalence of depression among old age. A sub-group analysis and sensitivity analysis were also run. A graphical inspection of the funnel plots and Egger’s publication bias plot test were checked for the occurrence of publication bias. Result A search of the electronic and manual system resulted in 1263 articles. Nevertheless, after the huge screening, 42 relevant studies were identified, including, for this meta-analysis, n = 57,486 elderly populations. The average expected prevalence of depression among old age was 31.74% (95% CI 27.90, 35.59). In the sub-group analysis, the pooled prevalence was higher among developing countries; 40.78% than developed countries; 17.05%), studies utilized Geriatrics Depression Scale-30(GDS-30); 40.60% than studies that used GMS; 18.85%, study instrument, and studies having a lower sample size (40.12%) than studies with the higher sample; 20.19%. Conclusion A high prevalence rate of depression among the old population in the world was unraveled. This study can be considered as an early warning and advised health professionals, health policymakers, and other pertinent stakeholders to take effective control measures and periodic care for the elderly population.
BackgroundThe prevalence of erectile dysfunction among diabetic men varies between 35–90%. Although erectile dysfunction is widespread among men with diabetes, the condition often remains undiagnosed and demands appropriate assessment and prompt treatment. Erectile dysfunction can affect all aspects of a patient’s life including physical, emotional, social, sexual, and relationships. The main aim of this study is to determine the prevalence and determinants of erectile dysfunction among diabetic patients attending hospitals in the Central and Northwest zone of Tigray, Ethiopia.MethodsA hospital based cross-sectional study was conducted on 249 male diabetic patients attending five hospitals in the Central and Northwestern Zone of Tigray, Ethiopia using systematic random sampling. The data was collected from January 1 – February 30, 2016 and was entered and analyzed using SPSS version 20. Correlation and multivariate logistic regression was employed to test associations between independent and outcome variables.ResultsThe mean age of study participants was 43.39 years and the mean duration of diabetes diagnosis was 6.22 years. The overall prevalence of erectile dysfunction was 69.9%, with 32.9% suffering from mild, 31.7% moderate, and 5.2% severe erectile dysfunction. Multivariate logistic regression revealed that erective dysfunction was significantly predicted by old age (Adjusted Odds Ratio [AOR] =15.013, CI:3.212–70.166), longer duration of diabetes (AOR = 3.77, CI:1.291–11.051), and lower monthly income (AOR = 0.285, CI:0.132–0.615). No association was found with body mass index, co-morbidity, glycemic control, and alcohol consumption.ConclusionThe prevalence of erective dysfunction in this study population was very high. Age, income, and duration of diabetes were the independent predictors of erectile dysfunction. Nearly all of the patients in the sample (97%) had not been screened or treated for erectile dysfunction. Assessment and management of erectile dysfunction in the diabetic clinic should be part of routine medical care during follow-up visits with diabetic patients. Healthcare providers should put an emphasis on screening and treating older patients and those who had a diabetes diagnosis for a longer duration.Electronic supplementary materialThe online version of this article (doi:10.1186/s12902-017-0167-5) contains supplementary material, which is available to authorized users.
Background Internet addiction is a common problem in university students and negatively affects cognitive functioning, leads to poor academic performance and engagement in hazardous activities, and may lead to anxiety and stress. Behavioral addictions operate on a modified principle of the classic addiction model. The problem is not well investigated in Ethiopia. So the present study aimed to assess the prevalence of internet addiction and associated factors among university students in Ethiopia. Objectives Main objective of this study was to assess the prevalence and associated factors of internet addiction among University Students in Ethiopia. Methods A community-based cross-sectional study was conducted among Wollo University students from April 10 to May 10, 2019. A total of 603 students were participated in the study using a structured questionnaire. A multistage cluster sampling technique was used to recruit study participants. A binary logistic regression method was used to explore associated factors for internet addiction and variables with a p value < 0.25 in the bivariate analysis were fitted to the multi-variable logistic regression analysis. The strength of association between internet addiction and associated factors was assessed with odds ratio, 95% CI and p value < 0.05 in the final model was considered significant. Results The prevalence of internet addiction (IA) among the current internet users was 85% (n = 466). Spending more time on the internet (adjusted odds ratio (AOR) = 10.13, 95% CI 1.33–77.00)), having mental distress (AOR = 2.69, 95% CI 1.02–7.06), playing online games (AOR = 2.40, 95% CI 1.38–4.18), current khat chewing (AOR = 3.34, 95% CI 1.14–9.83) and current alcohol use (AOR = 2.32, 95% CI 1.09–4.92) were associated with internet addiction. Conclusions The current study documents a high prevalence of internet addiction among Wollo University students. Factors associated with internet addiction were spending more time, having mental distress, playing online games, current khat chewing, and current alcohol use. As internet addiction becomes an evident public health problem, carrying out public awareness campaigns may be a fruitful strategy to decrease its prevalence and effect. Besides to this, a collaborative work among stakeholders is important to develop other trendy, adaptive, and sustainable countermeasures.
Background: Satisfaction of patients is a key measure of quality pharmacy service delivery. However, the traditional way of drug inventory and dispensing practice by professionals negatively affects the satisfaction of patients. Hence, assessment of satisfaction level is an important tool to identify gaps in pharmacy service delivery and works for its improvement.
Background Suicidal ideation and suicidal attempt are warning signs for and determine the prognosis of completed suicide. These suicidal behaviors are much more pronounced in people living with HIV/AIDS. Despite this, there is a scarcity of aggregate evidence in Africa. This study was therefore aimed to fill this gap. Methods we extensively searched Psych-info, PubMed, Scopus, and EMBASE to obtain eligible studies. Further screening for a reference list of articles was also done. Meta XL package was used to extract data and the Stata-11 was also employed. Cochran’s Q- and the Higgs I2 test were engaged to check heterogeneity. Sensitivity and subgroup analysis were implemented. Egger’s test and funnel plots were used in detecting publication bias. Results The pooled prevalence of suicidal ideation was 21.7% (95% CI 16.80, 26.63). The pooled prevalence of suicidal ideation in Ethiopia, Nigeria, Uganda, and South Africa was 22.7%, 25.3%, 9.8%, and 18.05% respectively. The pooled prevalence of suicidal ideation was larger; 27.7% in studies that used Composite International Diagnostic Interview (CIDI) than Mini-international Neuropsychiatric Interview (MINI); 16.96%. Moreover, the prevalence of suicidal ideation in studies with a sample size of < 400 was 23.42% whereas it was 18.3% in studies with a sample size ≥ of 400 participants. The pooled prevalence of suicidal attempts in this study was 11.06% (95% CI 6.21, 15.92). A suicidal attempt was higher in Ethiopia (16.97%) and Nigeria (16.20%) than Uganda (3.51%). This pooled prevalence of suicidal attempt was higher among studies that used a smaller sample (< 400 participants) (15.5%) than studies that used a larger sample size (≥ 400 participants) (8.4%). The pooled prevalence of suicidal attempt was 3.75%, and 16.97% in studies that used MINI and CIDI respectively. Our narrative synthesis revealed that advanced stages of AIDS, co-morbid depression, perceived HIV stigma, and poor social support was among the factors strongly associated with suicidal ideation and attempt. Conclusion The pooled magnitude of suicidal ideation and attempt was high and factors like advanced stages of AIDS, co-morbid depression, perceived stigma, and poor social support were related to it. Clinicians should be geared towards this mental health problem of HIV patients during management.
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