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Background: Overweight /obesity is a global public health concern. It is higher among women than men in most continents of the world. This study aimed to determine the spatiotemporal distribution and determinants of changes in overweight/obesity over time among urban women in Ethiopia., Methods: We used data from three consecutive Demographic and Health Surveys in Ethiopia (2005, 2011, and 2016). The total weighted sample of 1112 in 2005, 3569 in 2011, and 3071 in 2016 urban women were included in the analysis. The primary outcome measure of this study was the spatiotemporal distribution and trends over time in overweight/obesity. Factors contributing to change in overweight/obesity were examined using a logit-based multivariate decomposition analysis., Results: Overweight/obesity increased from 14.2% in 2005 to 21% in 2016. Approximately 61.3% of the overall increase in overweight/obesity among urban women was due to the difference in coefficient (difference in the effect of characteristics) across the surveys. Changes in the composition of women aged 25-49 years (β = 0.012, 95% CI 0.008, 0.015), married women (β = 0.010, 95% CI 0.006, 0.014), women with formal education (primary: β = 0.007, 95% CI 0.003, 0.011, higher education: β = 0.014, 95% CI 0.006, 0.022), women with formal employment (β = 0.006, 95% CI 0.001, 0.011), and women with informal employment (β = - 0.002, 95% CI - 0.003, - 0.0004) were factors contributing to the change in overweight/obesity from 2005 to 2016. The risk difference (RD) in women's overweight/obesity significantly varied across regions in urban Ethiopia. Furthermore, a high proportion of overweight/obesity was found mainly in Tigray, Oromia, Amhara, and Addis Ababa., Conclusions: The rate of overweight/obesity among women in urban Ethiopia has shown a significant increase over the last 11 years. This rate change was due to changes in the composition of women's age, educational status, marital status, and employment status. Therefore, program interventions should be targeted at older (> 25 years), educated, married, Addis Ababa residents, and formally employed women., (© 2022. The Author(s).)

Introduction: Childhood obesity has become a major public health problem for both developed and developing nations. It is uncommon to find under-nutrition in many low and middle-income countries; as well, obesity is a double burden in these settings. This study aimed to investigate the pooled prevalence of overweight /obesity among under-five (under-5) children in sub-Saharan Africa (SSA)., Methods: Data were accessed from the recent nationally representative demographic and health survey datasets from 33 SSA Countries. A total of 192,132 under-five children were recruited for this study. The pooled prevalence of overweight /obesity among under-5 was done using random-effects meta-analysis command. Multivariable multi-level mixed-effects logistic regression analysis was used to identify determinants for the prevalence of under-5 overweight and/or obesity. A P-value less than 0.05 was used to declare statistical significance., Results: The pooled prevalence of overweight /obesity among under-5 was 5.10% (9% CI: 4.45 - 5.76) in SSA. South Africa region (8.80%, 95% CI: 4.18 - 13.42) had a higher prevalence of under-5 overweight and/or obesity followed by the East Africa region. Male under-5 children (adjusted odds ratio (AOR) = 1.09, 95 confidence interval (CI): 1.02 - 1.25), Larger birth weight under-5 children (AOR = 1.39, 95% CI: 1.26 - 1.54), under-5 children aged older two to three years (AOR = 0.85, 95% CI: 0.76 - 0.94), under-5 children born from educated mothers (secondary and above) (AOR = 1.12, 95% CI: 1.01 - 1.25), and under-5 children living in the West Africa (AOR = 0.67, 95% CI: 0.56 - 0.81) and South Africa (AOR = 1.87, 95% CI: 1.09 - 3.21) were significant determinants for under-5 overweight and/or obesity., Conclusion: Childhood obesity is becoming a great challenge and double burden in developing nations. In SSA Africa 1 in 20 under 5 children were overweight and/or obese. Male under-5 children, older aged, under-5 children born from educated mothers, and under-5 children living in the South Africa region were at higher risk for developing overweight and/or obesity. Thus, SSA countries should implement early to pause these consequences preventing the double burden of undernutrition., (© 2022. The Author(s).)

Introduction: Hypertension is a major public health problem globally and it is a leading cause of death and disability in developing countries. This review aims to estimate the pooled prevalence of hypertension and its determinants in Ethiopia., Methods: A systematic literature search was conducted at the electronic databases (PubMed, Hinari, and Google Scholar) to locate potential studies. Heterogeneity between studies checked using Cochrane Q test statistics and I2 test statistics and small study effect were checked using Egger's statistical test at 5% significance level. Sensitivity analysis was checked. A random-effects model was employed to estimate the pooled prevalence of hypertension and its determinants in Ethiopia., Results: In this review, 38 studies that are conducted in Ethiopia and fulfilled the inclusion criteria with a total number of 51,427 study participants were reviewed. The overall pooled prevalence of hypertension in the country was 21.81% (95% CI: 19.20-24.42, I2 = 98.35%). The result of the review also showed that the point of prevalence was higher among males (23.21%) than females (19.62%). When we see the pervasiveness of hypertension from provincial perspective; the highest prevalence of hypertension was observed in Addis Ababa (25.35%) and the lowest was in Tigray region (15.36%). In meta-regression analysis as the mean age increases by one year, the likelihood of developing hypertension increases by a factor of 0.58 times (β = 0.58, 95% CI: 0.31-0.86, R2 = 36.67). Male sex (OR = 1.29, 95% CI: 1.03-1.61, I2 = 81.35%), age > 35 years (OR = 3.59, 95% CI: 2.57-5.02, I2 = 93.48%), overweight and/or obese (OR = 3.34, 95% CI: 2.12-5.26, I2 = 95.41%), khat chewing (OR = 1.42, 95% CI: I2 = 62%), alcohol consumption (OR = 1.50, 95% CI: 1.21-1.85, I2 = 64%), family history of hypertension (OR = 2.56, 95% CI: 1.64-3.99, I2 = 83.28%), and family history of diabetes mellitus (OR = 3.69, 95% CI: 1.85-7.59, I2 = 89.9%) are significantly associated with hypertension., Conclusion: Hypertension is becoming a major public health problem in Ethiopia. Nearly two out of ten individuals who are older than 18 years living with hypertension. Sex, age, overweight and/or obese, khat chewing, alcohol consumption, and family history of hypertension and diabetes mellitus are statistically significant determinant factors for hypertension in Ethiopia. Primary attention should be given for behavioral risk factors to tackle the alarming increase of hypertension in Ethiopia., Competing Interests: The authors have declared that no competing interests exist.

Getachew Yideg Yitbarek,1 Melaku Tadege Engidaw,2 Belete Achamyelew Ayele,3 Sofonyas Abebaw Tiruneh,4 Melkamu Tilahun Alamir5 1Department of Biomedical Sciences (Medical Physiology), College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia; 2Department of Social and Public Health (Human Nutrition), College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia; 3Wogeda Primary Hospital, Amhara Regional Health Bureau, Bahir Dar, Ethiopia; 4Department of Social and Public Health (Epidemiology), College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia; 5Department of Biomedical Sciences (Medical Physiology), College of Health Sciences, Debre Markos University, Debre Markos, EthiopiaCorrespondence: Getachew Yideg YitbarekDebre Tabor University, Po Box: 272, Debre Tabor, EthiopiaTel +251 921748502Email getachewyideg@gmail.comPurpose: Obesity is on the rise worldwide, not only in the general population but also in PLWHA. Being overweight and obese are themselves risk factors for cardiovascular and other diseases. Despite this, few studies have been conducted to determine the magnitude of obesity/overweight and its associated factors among HIV/AIDS patients in Ethiopia, which necessitates this study.Methods: Hospital-based cross-sectional study was conducted from December to January 2019 at selected Jimma zone hospitals. WHO STEP-wise approach to chronic disease risk factor surveillance (STEPS) questionnaire and document review for HIV-related clinical factors was applied. Weight, height and waist circumference and hip circumference were measured. Data were analyzed using SPSS version 20.Results: A total of 252 participants with a response rate of 95.8% were included. The prevalence of obesity/overweight was 21%. After adjusting for these variables, age category of greater than 50 years [AOR = 0.4, 95% CI (0.2, 0.9), p = 0.03], WHO clinical stage III and above [AOR = 0.04, 95% CI (0.002, 0.6), p = 0.02], presence of mild to moderate physical activity [AOR = 1.3, 95% CI (5.5, 33.3), p ≤ 0.001)], plasma CD4 count between 351 and 500 copies/mL [AOR=0.15, 95% CI (0.04, 0.6) p=0.024], and female sex [AOR = 2.6, 95% CI (1.25, 10) p=0.03)] were significantly associated with obesity/overweight.Conclusion: There was a high prevalence of obesity/overweight among HIV/AIDS patients. It was found that older age, female sex, early stage of the disease, lower CD4 count and presence of mild to moderate physical activity were significant predictors of obesity/overweight. Clinicians should be aware of the health consequence of obesity and consider instituting targeted weight management programs as a part of routine HIV care.Keywords: overweight, HIV/AIDS, associated factors, Ethiopia

Yitbarek GY, Engidaw MT, Ayele BA, Tiruneh SA, Alamir MT. Diabetes Metab Syndr Obes. 2020;13:1251— 1258. The authors have advised that there is an error with the AOR of the independent variable physical activity throughout the paper. Page 1251, Abstract, Results, line 4, the text “presence of mild to moderate physical activity [AOR = 1.3, 95% CI (5.5, 33.3),p ≤ 0.001)]” should read “absence of mild to moderate physical activity [AOR = 6.3, 95% CI (5.5, 33.3), p ≤ 0.001)]”. Page 1254, left column, line 3 from the bottom, the text “presence of mild to moderate physical activity [AOR = 1.3, 95% CI (5.5, 33.3), p≤ 0.001)]” should read “absence of mild to moderate physical activity [AOR = 6.3, 95% CI (5.5, 33.3), p≤ 0.001)]”. Page 1255, Table 3, AOR (95% CI) column, the data for AOR “ 1.3” should read “ 6.3” in the variable Physical Activity, No row. The authors apologize for these errors.Read the original article