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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., (© 2021. The Author(s).)

Background: Postpartum depression is a common psychiatric complaint of women following delivery and a multitude of psychosocial, maternal, newborn and husband-related factors were contributing to it. This condition has a detrimental impact on the mother-infant caregiving relationship and hastens the infant's cognitive, emotional and social development. However, a shortage of empirical evidence existed especially in developing countries including Ethiopia. Therefore, we implemented this study to determine the magnitude of postpartum depression and its correlates., Methods: A cross-sectional survey was implemented on 378 postnatal women in the maternal and child health clinic of Dessie health centers within 4 weeks of their delivery. Postpartum depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS). Intimate partner violence was operationalized as a psychological, physical and sexual abusive action imposed on women by their associates. We estimated the crude and adjusted odds ratio with its 95% CI using binary logistic regression to know the association and statistical significance was declared using a p -value < 0.05., Results: More than one-fourth, 102 (27%) (95% CI 22.5, 31.5) of participants were obtained to have postpartum depression. Being single from socio-demographic variables (AOR = 4.9, 95% CI 1.27, 16.74), dissatisfaction with child gender (AOR = 3.1, 95% CI 1.62, 6.69), unplanned pregnancy (AOR = 2.5, 95% CI 1.76, 7.23) and depression during current pregnancy (AOR = 3.2, 95% CI 2.81, 8.91) from pregnancy and newborn-related variables, intimate partner violence; psychological (AOR = 6.5, 95% CI 1.98, 15.85), sexual and physical violence (AOR = 3.46, 95%CI 2.34, 18.55), current husbands alcoholism (AOR = 2.2, 95% CI 1.48, 5.34) from husband/partner-related variables and current substance use (AOR = 1.8, 95% CI 1.16, 3.75) were found to have a statistically significant association with postpartum depression., Conclusion: More than one-fourth of the interviewed women (27%) were found to have postpartum depression. Being single from socio-demographic variables, dissatisfaction with child gender, unplanned pregnancy, and depression during current pregnancy from pregnancy and newborn-related variables, intimate partner violence, and current husband's alcoholism from husband/partner-related variables and current substance use were the related factors. This suggests the need for integrating postpartum depression services into the existing postnatal maternal and child health services and basing intervention geared primarily to the mentioned factors above., Competing Interests: Competing interestsThe authors declare that they have no competing interests., (© The Author(s) 2020.)

Background: The presence of mental distress among students affects their cognitive, emotional, physical, and interpersonal functioning. Besides, it predisposes to substance use problems and finally affects academic performance negatively. Therefore, this study was designed to estimate the magnitude and identify associated factors for the mental distress of students at Wollo University, Dessie, Ethiopia., Methods: This institution-based cross-sectional survey assessed mental distress among 585 undergraduate students at Wollo University from April 10 to May 10/2019 using a multi-stage stratified sampling technique. Kessler-10 item scale was used to collect data about mental distress. Variables with p -value < 0.25 in bivariate logistic regression were pooled into a multi-variable logistic regression model and p -value < 0.05 in the multi-variable model was considered significant statistically. The strength of the relationship was interpreted using the odds ratio with 95% CI. The model adequacy in multi-variable regression was approved with Hosmer and Lemeshow goodness of fit test., Results: Among 585 questionnaires distributed, 548 clear and completed questionnaires were included in the analysis with a response rate of 93.7%. The mental distress prevalence in the current study was 106 (19.3%). From this 65 (11.9%), 28 (5.1%), and 13 (2.4%) were found to be mild, moderate and severe mental distress respectively. Never attending a place of worship (AOR = 4.2, 95% CI 1.73, 10.39), family history of mental illness (AOR = 2.1, 95% CI 1.12, 3.95), current cigarette smoking (AOR = 3.2, 95% CI 1.69, 6.20), current alcohol use (AOR = 2.5, 95% CI 1.49, 4.25), and current cannabis use (AOR = 3.4, 95% CI 1.18, 9.57) were the associated factors for mental distress., Conclusion: One in five students was affected by mental distress. Never attending a place of worship, family history of mental illness, current cigarette smoking, current alcohol use, and current cannabis use were the factors associated with it. Therefore, all stakeholders should be involved in overcoming this public health problem. Besides, clubs should be established in the university and have to play an active role in bringing behavioral change to substance use., Competing Interests: Competing interestsThe authors declared that they have no competing interests., (© The Author(s) 2019.)