ObjectivesTo examine the survival rate and predictors of mortality among preterm neonates in the neonatal intensive care unit at South Gondar public hospitals, 2021.DesignProspective follow-up study.SettingSouth Gondar public hospitals, Northwest, Ethiopia.ParticipantsWe recruited 283 preterm neonates who were admitted at neonatal intensive care unit at selected hospitals from 15 February 2020 to 22 January 2021.Outcome measuresThe primary outcome measure of this study was the survival rate of preterm neonates in the neonatal intensive care unit. Moreover, the study assessed the predictors for the occurrence of mortality by the Cox-proportional hazard model. Data were entered into Epi data V.4.2 and exported to Stata V.14 statistical software for analysis. The log-rank test determines the survival difference between predictor variables.ResultsA total of 283 preterm neonates, 61 died during the follow-up. Born from antepartum haemorrhage mother (adjusted HR (AHR)=2.2 (95% CI 1.10 to 4.37)), being small weight for gestational age (AHR=4.6 (95% CI 2.22 to 9.53)), not having kangaroo mother care practice initiated (AHR=2.7 (95% CI 1.39 to 7.74)), hypothermia (AHR=4.0 (95% CI 1.96 to 8.30)) and perinatal asphyxia (AHR=3.9 (95% CI 1.97 to 7.94)) were significant predictors of preterm neonate mortality.ConclusionIn this study, the preterm neonates survival rate (78.4%) and the median survival time (21 days) were found to be low. Preventing and managing the predictors, including an antepartum haemorrhagic mother, small weight for gestational age, hypothermia and prenatal asphyxia, is crucial. In addition, more emphasis should be placed on initiating universal kangaroo mother care practice soon after birth to increase the survival of preterm neonates.

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.

The burden of hypoglycemia is high in resource limited countries, such as Ethiopia. However, there are no sufficient studies conducted in Ethiopia in general and in the study setting in particular in the previous era. Hence, this study aims to assess the proportion of hypoglycemia and associated factors among preterm neonates admitted to the neonatal intensive care unit at Debre Tabor Comprehensive Specialized Hospital, Ethiopia, in 2021. A hospital-based cross-sectional study was conducted from October 1 to December 30, 2021, at Debre Tabor Comprehensive Specialized Hospital in the neonatal intensive care unit ward. The data was entered in Epi-info 7 and exported to STATA version 14. A binary and multivariable logistic regression was computed at 95% confidence interval (CI). During bivariable analysis, variables having a p-value of less than 0.25 were chosen for multivariable logistic regression analysis, and variables having a p-value of less than 0.05 in multivariable analysis, were significant associations with the dependent variable. The study included 267 preterm neonates, and 23.59% (95% CI 18.9–29.1) were develop hypoglycemia. Moreover, 49 (18.35%) preterm neonates died during the study period. In this study, preterm neonates with hypothermia [Adjusted Odds Ratio (AOR = 4.5; 95 CI 3.4, 7.2)], birth asphyxia (AOR = 5.1; 95 CI 3.9, 27.1), seizure (AOR = 4.7; 95 CI 2.8, 17.8), and also preterm neonates born from diabetic mothers (AOR = 6.7; 95 CI 3.3, 27.2) were significantly associated with the occurrence of hypoglycemia in the neonatal intensive care. The proportion of hypoglycemia and associated factors among preterm neonates admitted to the neonatal intensive care unit at Debre Tabor Comprehensive Specialized Hospital was found to be high. The associated factors for the occurrence of hypoglycemia were discovered to be neonates with hypothermia, birth asphyxia, seizure, and neonates born with a diabetes mother. Thus, recognizing and treating the above associated factors is essential to preventing, and controlling hypoglycemia.