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.
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.
BackgroundHIV-associated neurocognitive disorders are common in people living with HIV/AIDS and affect the adherence of patients to prescriptions, activities of daily living, and quality of life of patients. However, there is a lack of summative evidence in the area. The present meta-analysis was therefore addressing this gap.MethodsWe did our electronic search in Psych-Info, EMBASE, Scopus, and PubMed. The retrieved articles were stored with the endnote reference manager and data was extracted using Meta-XL version 5.3. The quality of studies was evaluated with the modified Newcastle–Ottawa Scale (NOS). A random-effect model and STATA-16 were used to compute the average estimate of HAND. Heterogeneity was weighed with I2 statistics. A sensitivity analysis and subgroup analysis were employed. The existence/nonexistence of a publication bias was checked with the Eggers test of publication bias.ResultsThe average prevalence of HAND was 50.41% (95% CI: 45.56, 55.26). The average estimate of HAND in Europe was found to be 50.015% whereas in Africa, Asia, and the United States of America (USA) it was 49.566, 52.032, and 50.407% respectively. The prevalence of HAND in studies that used the HIV Dementia Scale (IHDS) was 36.883% and 59.956% at cutoff points of IHDS <9.5 and IHDS <10 respectively. Besides, the estimated average of HAND with the global dementia scale (GDS) was 40.766%. The prevalence of HAND in cross-sectional, cohort, and case-control studies was 49.52, 54.087, and 44.45% in that order. Socio-demographic variables; low level of education and older age, clinical and HIV related variables; the advanced stage of the illness and CD4 count of 500 cells/dl or less and psychological variables such as comorbidity of depression increases the risk of HAND.ConclusionThe prevalence of HIV-associated neurocognitive disorders was about 50.41%. Low level of education and older age, clinical and HIV related variables such as the advanced stage of the illness and CD4 count of 500 cells/dl or less, and comorbidity of depression were associated with HIV associated neurocognitive disorders. Public health interventions for HIV patients should target these essential problems.
Background Vaccines are a powerful choice to stop disease outbreaks, including covid-19. However, people are hesitant to take vaccinations due to uncertainty about side effects. So, this study aimed to assess covid-19 vaccine side-effect and its associated factors among healthcare workers in Dessie comprehensive specialized hospital, in Ethiopia. Methods An institution-based cross-sectional study was conducted at Dessie Comprehensive and Specialized Hospital among 351 vaccinated healthcare workers from April 25 to May 25, 2021. Self-administrated questionnaires were used by consented health workers. Variance inflation factor (VIF) was used to assess the multicollinearity of independent variables. Bivariable and multivariable binary logistic regression were used to identify significant factors of vaccine side effects. The adjusted odds ratio (AOR) with a 95% confidence interval (CI) was reported as the effect size. Statistical significance was considered at p-value <0.05. Results Overall, of vaccinated healthcare workers, 56.98% (95% CI, 50.86–61.26%) experienced at least one side effect. The majority of the side effects were fever (44.44%), headache (39.03%), fatigue (27.35%), injection site pain (25.93%), and nausea (24.22%). Healthcare workers with (≥10 years) of work experience (AOR: 3.74, 95% CI, 1.32–10.59), Hesitancy to take the first dose of the Covid-19 vaccine (AOR: 3.01, 95% CI, 1.82–4.99), underlying chronic disease (AOR: 14.41, 95% CI, (5.07–40.92)), being on antihypertensive medication (AOR: 0.15; 95% CI (0.02–0.93)), and unsafe perception of vaccine safety (AOR:3.50; 95% CI, 1.43–8.57) were independent factors of Covax vaccine side effect development. Conclusion Overall, common vaccine side effects were identified in healthcare workers who have taken the Covax vaccine. Healthcare workers with (≥10 years) of work experience, Hesitancy to take the first dose, unsafe perception of vaccine safety, and underlined chronic disease were predictors of vaccine side effect occurrence. So, providing vaccine-related information to the community to be vaccinated is mandatory to reduce hesitancy and flaws regarding vaccine safety.
Background Ethiopia, being in the Sub Saharan region of Africa, is one of the countries with a substantial burden of HIV infection. Because of the high burden of HIV and poor health care settings, HAND is prevalent as demonstrated in various cross-sectional studies. However, no review has been conducted to report the consolidated magnitude of HAND among people with HIV in Ethiopia. Therefore, this systematic review and meta-analysis aimed to estimate the prevalence of HAND in Ethiopia. Methods Following the PRISMA guidelines, we systematically reviewed and meta-analyzed studies that investigated the prevalence of HAND in Ethiopia from PubMed, Google Scholar, Science Direct, HINARI, EMBASE, and Cochrane library databases. We also looked at the reference lists of the included studies to include other relevant studies. Subgroup analysis was performed based on publication year, study location, and sample size. Heterogeneity across studies was evaluated using the I2 test. Potential publication bias was assessed using Egger’s test and visual inspection of symmetry in the funnel plots. Results In the present meta-analysis, 627 articles were initially identified and evaluated. Of these, 8 studies that met the inclusion criteria were included in the final analysis. The pooled prevalence of HAND in people with HIV in Ethiopia was 39.15% (95% CI 29.36, 48.94). The highest prevalence observed in the Southern Nations, Nationalities, and Peoples’ Region (SNNPR) with 53.20% (95% CI 25.96, 80.44) followed by others 34.87% (Tigray, Addis Ababa, and Oromia) (95% CI 33.49, 36.24) and Amhara 34.07% (95% CI 25.39, 42.74).The funnel plot was asymmetrical. However, Egger’s regression tests provided no evidence of publication bias in the prevalence of HAND. Conclusion In this meta-analysis, the pooled prevalence of HAND, in Ethiopia, was high. Older age, substance use, advanced stages of the disease, and lack of education were the main determinants of HAND in Ethiopia. Health education, early screening of people with HIV, and training of health professionals working in hospitals on HAND are highly recommended.
Background: Globally, more than three billion persons using the Internet daily, with the common being youths and young persons. Internet addiction among university students in Ethiopia has not been studied. The current study aims to explore the magnitude and related factors of internet addiction among Wollo University students in Ethiopia.Objectives: The main objective of this study was to assess the prevalence and related factors of internet addiction among Wollo University students, Northeast, Ethiopia, 2019.Methods: A community university-based cross-sectional study was conducted among Wollo University students from April 10 to May 10, 2019, G.C. A total of six hundred three students were participated in the study using a pretested and self-administered structured questionnaire. The Young’s Internet Addiction Test instrument was used to assess the level of internet addiction. Results: Generally, the prevalence of internet addiction (IA) among the current internet users was 85 % (n=466) with 55.7 %( n=305) mild internet addiction, 27.9% (n=153) moderate internet addiction and 1.5% (n= 8) severe internet addiction. In multivariable logistic regression analysis, using the internet greater than five hours daily, having mental distress, playing online games, current khat chewing and current alcohol use were positively related to internet addiction. Using the internet for more than twelve months and using the internet by mobile internet were negatively related to internet addiction.Conclusions: The current study documents a high prevalence of internet addiction among Wollo University students. Factors independently associated with internet addiction were using the internet greater than five hours daily, having mental distress, playing online games, current khat chewing and current alcohol use.
Background Globally, more than three billion people use the internet daily with young people being the most common users. Internet addiction among university students in Ethiopia has not been studied. Objectives The main objective of this study was to assess the prevalence and related factors of internet addiction among Wollo university students in Ethiopia. Methods A community university-based cross-sectional study was conducted among Wollo University students from April 10 to May 10, 2019. A total of six hundred three students were participated in the study using a pilot tested and self-administered structured questionnaire. A multistage cluster sampling was adopted for this study. In the first stage, by the use of lottery method, two colleges (College of medicine and health sciences, and College of natural sciences, and one school (school of law)) were selected. In the second stage, 18 departments were selected from the colleges and school. The Young’s Internet Addiction Test instrument was used to assess the level of internet addiction. Results Generally, the prevalence of internet addiction (IA) among the current internet users was 85% (n=466) with 55.7%(n=305) mild internet addiction, 27.9% (n=153) moderate internet addiction and 1.5% (n= 8) severe internet addiction. In multivariable logistic regression analysis, 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 positively related to internet addiction. Using the internet for more than twelve months (AOR = 0.42, 95%CI: 0.18-0.96) and using the internet by mobile internet (AOR = 0.40, 95%CI: 0.20-0.83) were negatively related to internet addiction. Conclusions The current study documents a high prevalence of internet addiction among Wollo University students. Factors independently associated with internet addiction were using the internet greater than five hours daily, having mental distress, playing online games, current khat chewing and current alcohol use. So, we advise that higher institutions should establish prevention programs focus on educating students about emotional regulation skills and the harmful effects of substance use to minimize internet addiction.
Background: HIV associated neurocognitive disorders are common in people living with HIV/AIDS and affects adherence of patients to prescription, activities of daily living and quality of life of patients. However, there is a lack of summative evidence in the area. The present meta-analysis was therefore employed to address this gap. Methods: we used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines during our electronic search in Psych-Info, EMBASE, Scopus and PubMed. The retrieved articles were stored with endnote reference manager and data was extracted using Meta-XL version 5.3. The quality of studies were evaluated with modified Newcastle–Ottawa Scale (NOS). A random-effect model and STATA-16 were used to compute the average estimate of HAND. Heterogeneity was weighed with I2 statistics. A sensitivity analysis and subgroup analysis were employed. The existence /nonexistence of a publication bias were checked with the eye ball test and eggers test of publication bias.Results: The average prevalence of HAND was 50.41% (95% CI: 45.56, 55.26). The average estimate of HAND in Europe was found to be 50.015% whereas in Africa, Asia and United States of America (USA) it was 49.566%, 52.032 %, 50.407% respectively. The prevalence of HAND in studies which used HIV Dementia Scale (IHDS) was 36.883% & 59.956% at a cutoff points of IHDS< 9.5 & IHDS <10 respectively. In addition the estimated average of HAND with the global dementia scale (GDS) was 40.766%. The prevalence of HAND in cross-sectional, cohort and case control studies was 49.52%, 54.087% and 44.45% in that order. Sociodemographic variables such as low level of education and older age, clinical and HIV related variables such as advanced stage of the illness and CD4 count of 500 cells/dl or less and psychological variables such as comorbidity of depression increases the risk of HAND.Conclusion: The average prevalence of HAND was high (more than half of participants) and factors such as low level of education, older age, advanced stage of the illness and comorbidity of depression increases the risk of HAND. Public health interventions to HIV patients should target these essential problems.
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