Bereket Gebremichael

There is limited evidence on the burden and drivers of the co-occurrence of overweight/obesity and undernutrition at the individual level in low- and middle-income countries. This gap hinders the design of double-duty actions (DDAs) that can effectively address all forms of malnutrition. This multi-country study aimed to determine the magnitude of double burden of malnutrition (DBM) among under five children and identify household and individual level determinants in Eastern and Southern Africa (ESA) countries. We pooled data of 79,394 children aged 6–59 months, collected from Demographic and Health Surveys (DHS) conducted in 12 ESA countries between 2013 and 2016. We identified confounders a priori. A random effect logistic regression was performed to identify factors associated with the co-occurrence of Stunting and Overweight (StOw), Overweight and Anemia (OwA), and Stunting Overweight and Anemia (StOwA). The study revealed that the burden of co-occurrence of StOwA, StOw, and OwA among under-five children were 5.38%; 95% confidence interval (CI) (5.00-5.79), 4.04 (95% CI: 3.86–4.23), and 5.72% (95% CI: 5.40–6.04), respectively. South Africa had the highest burden of co-occurrence of StOwA (15.58%) and OwA (22.30%), while Namibia and Burundi had the lowest StOwA (2.19%) and OwA (2.78%), respectively. Male children were more likely than female children to experience co-occurrence of StOwA [adjusted odds ratio (AOR) (95% CI): 1.96 (1.49–2.57)], OwA [AOR = 1.51: (95% CI) (1.22, 1.86)], and StOw [AOR = 1.59: (95% CI) (1.36, 1.87)]. Children from the poorest and poorer households had higher odds of co-occurrence of StOwA, OwA, and StOw compared to those from the richest households. Compared to children born to mothers with normal body mass index, those born to mothers with overweight/obese had 60% and 39% higher risk, whereas those born to mothers who were underweight had 49% and 36% lower risk of StOw and OwA, respectively. The DBM among children poses a significant public health and economic problem in ESA countries. The DDAs approach should be strengthened in the ESA region to address all forms of malnutrition.

We examined the association between low‐calorie sweeteners (LCS) consumption during preconception, pregnancy, and breastfeeding and child health outcomes. A systematic search of electronic databases in PubMed, Embase, Cumulated Index to Nursing and Allied Health Literature, the Cochrane Library, Scopus, Web of Science, PsycINFO, ProQuest Health and Medical, ClinicalTrials.gov, and Google Scholar was conducted up to 21 September 2023. A random effects model with restricted maximum likelihood estimation was used for the meta‐analysis. Seventeen eligible studies were included. The standardised mean difference (SMD) and 95% confidence interval (CI) in birth weight between those who frequently consumed LCS (≥1 serve/day) during pregnancy and those who did not consume LCS was 0.04 (0.00, 0.08) (four cohort studies). Any LCS consumption during pregnancy compared with no consumption was not associated with birth weight [SMD (95% CI) = 0.03 (−0.03, 0.08)] (four cohort studies). Any LCS consumption during pregnancy was not associated with body mass index z‐scores. The weighted mean difference (95% CI) was 0.00 (−0.05, 0.06) at birth, 0.06 (−0.29, 0.40) at 6 months, −0.04 (−0.19, 0.10) at 1 year, 0.00 (−0.16, 0.17) at 3 years, and 0.10 (−0.15, 0.34) at 7 years of the child age, compared with no intake (five cohort studies). The odds of being overweight at 1 year among children exposed to LCS during pregnancy was 1.19 (OR [95% CI]: 1.19 [0.81, 1.58]) compared with unexposed children (two cohort studies). The effect sizes were not precise for all the outcomes as the 95% CI indicated the effect estimates could range from small protective to a higher risk. The effect of LCS consumption on child behaviour and cognition was inconsistent. There is not enough evidence to confirm LCS consumption during pregnancy affects birth weight and risk of overweight in children. However, frequent consumption increased birth weight and the risk of overweight at different ages, though the effects were imprecise. More robust research evidence is required as the quality of evidence is low.

Recently, the World Health Organization recommended avoiding low-calorie sweeteners (LCS) during pregnancy due to concerns that it may be linked to adverse pregnancy outcomes and offspring wellbeing. This study examined the patterns and predictors of LCS consumption among pregnant women in Australia. A survey was conducted among 422 pregnant women aged 18–50 years. Sociodemographic, lifestyle, dietary intake including LCS consumption, pregnancy-related characteristics, and awareness about the health effects of LCS were assessed. We used latent class analysis and multinomial logistic regression to identify LCS consumption patterns and predictors of consumption patterns, respectively. The mean (SD) age of the women was 30 (4.6) years. Three LCS consumption patterns were identified: infrequent or non-consumers representing 50% of the women, moderate consumers encompassing 40% of the women, and the remaining were habitual consumers. Over two-thirds (71%) of women were not aware of the potential adverse effects of LCS, and only a quarter of them were concerned about the possible adverse effects on their health and their offspring. Increasing age and living with a medical condition decreased the likelihood of moderate consumption by 7% and 55%, respectively. Frequent sugar-sweetened beverage consumption and gestational diabetes predicted habitual LCS consumption. This research suggested widespread LCS consumption among pregnant women in Australia, but lower awareness of its potential adverse health effects. Interventions to increase awareness of potential adverse effects are warranted.

Background: The Coronavirus Disease (COVID-19) caused by SARS-CoV-2 infections remains a significant health challenge worldwide. There is paucity of evidence on the influence of the universal health coverage (UHC) and global health security (GHS) nexus on SARS-CoV-2 infection risk and outcomes. This study aimed to investigate the effects of UHC and GHS nexus and interplay on SARS-CoV-2 infection rate and case-fatality rates (CFR) in Africa.Methods: The study employed descriptive methods to analyze the data drawn from multiple sources as well used structural equation modeling (SEM) with maximum likelihood estimation to model and assess the relationships between independent and dependent variables by performing path analysis.Results: In Africa, 100% and 18% of the effects of GHS on SARS-CoV-2 infection and RT-PCR CFR, respectively were direct. Increased SARS-CoV-2 CFR was associated with median age of the national population (β = -0.1244, [95% CI: -0.24, -0.01],P = 0.031 ); COVID-19 infection rate (β = -0.370, [95% CI: -0.66, -0.08],P = 0.012 ); and prevalence of obesity among adults aged 18 + years (β = 0.128, [95% CI: 0.06,0.20],P = 0.0001) were statistically significant. SARS-CoV-2 infection rates were strongly linked to median age of the national population (β = 0.118, [95% CI: 0.02,0.22 ],P = 0.024); population density per square kilometer, (β = -0.003, [95% CI: -0.0058, -0.00059],P = 0.016 ) and UHC for service coverage index (β = 0.089, [95% CI: 0.04,0.14,P = 0.001 ) in which their relationship was statistically significant.Conclusions: The study shade a light that UHC for service coverage, and median age of the national population, population density have significant effect on COVID-19 infection rate while COVID-19 infection rate, median age of the national population and prevalence of obesity among adults aged 18 + years were associated with COVID-19 case-fatality rate. Both, UHC and GHS do not emerge to protect against COVID-19-related case fatality rate.

Background: The coronavirus disease 2019 (COVID-19) pandemic has disrupted lives across all countries and communities. It significantly reduced the global economic output and dealt health systems across the world a serious blow. There is growing evidence showing the progression of the COVID-19 pandemic and the impact it has on health systems, which should help to draw lessons for further consolidating and realizing universal health coverage (UHC) in all countries, complemented by more substantial government commitment and good governance, and continued full implementation of crucial policies and plans to avert COVID-19 and similar pandemic threats in the future. Therefore, the objective of the study was to assess the impact of good governance, economic growth and UHC on the COVID-19 infection rate and case fatality rate (CFR) among African countries. Methods: We employed an analytical ecological study design to assess the association between COVID-19 CFR and infection rate as dependent variables, and governance, economic development and UHC as independent variables. We extracted data from publicly available databases (i.e., Worldometer, Worldwide Governance Indicators, Our World in Data and WHO Global Health Observatory Repository). We employed a multivariable linear regression model to examine the association between the dependent variables and the set of explanatory variables. STATA version 14 software was used for data analysis. Results: All 54 African countries were covered by this study. The median observed COVID-19 CFR and infection rate were 1.65% and 233.46%, respectively. Results of multiple regression analysis for predicting COVID-19 infection rate indicated that COVID-19 government response stringency index (β = 0.038; 95% CI 0.001, 0.076; P = 0.046), per capita gross domestic product (GDP) (β = 0.514; 95% CI 0.158, 0.87; P = 0.006) and infectious disease components of UHC (β = 0.025; 95% CI 0.005, 0.045; P = 0.016) were associated with COVID-19 infection rates, while noncommunicable disease components of UHC (β = −0.064; 95% CI −0.114; −0.015; P = 0.012), prevalence of obesity among adults (β = 0.112; 95% CI 0.044; 0.18; P = 0.002) and per capita GDP (β = −0.918; 95% CI −1.583; −0.254; P = 0.008) were associated with COVID-19 CFR. Conclusions: The findings indicate that good governance practices, favourable economic indicators and UHC have a bearing on COVID-19 infection rate and CFR. Effective health system response through a primary healthcare approach and progressively taking measures to grow their economy and increase funding to the health sector to mitigate the risk of similar future pandemics would require African countries to move towards UHC, improve governance practices and ensure economic growth in order to reduce the impact of pandemics on populations.

Background: Preterm related complications are the single largest direct cause of neonatal deaths throughout the world, responsible for 35% of the world’s neonatal death (1.1 million deaths/year). In Ethiopia preterm related complications are still the leading cause of neonatal mortality. Identifying the hazard time to death and predictors of mortality play an important role to decrease preterm mortality. Therefore, this study aimed to determine the survival and predictors of mortality among preterm neonates admitted to neonatal intensive care unit of Addis Ababa public hospitals, Ethiopia, 2021. Method: An institutional based prospective follow up study was conducted among 358 preterm neonates admitted to selected public hospitals of Addis Ababa, Ethiopia from February 12 to May 12, 2021. Systematic random sampling was used to recruit each sample and data was collected prospectively using structured questioner. Epi-data version 4.6 and STATA version 16 was used to data entry and analysis respectively. Kaplan Meier failure curve, Log rank tests were computed. Schoenfeld residual test was used to check overall model fitness. Cox proportional hazards models were fitted to identify independent predictors of preterm mortality. Result: At the end of this cohort, 125(34.9%) of the neonates died, with incidence rate of 36.4/1000 (CI: 0.031–0.044) person-day with the median time to death of 6 days. Born from antepartum hemorrhage mother (AHR: 3.1, CI; 1.4–6.6), lack of Kangaroo mother care (AHR: 5.8, CI; 2.37–14.33), unable to start feeding with in 24 h of admission (AHR: 6.4, CI: 3.33–12.28), apnea (AHR: 2.4, CI: 1.3–4.7) and dehydration (AHR: 2.33, CI: 1.3–4.3) were the identified predictors of time to death. Conclusion and recommendation: The first 7 days of admission was the hazard time to death with median time of 6 days. Being born to antepartum hemorrhage mother, lack of Kangaroo mother care, unable to start feeding with 24-h, Apnea and dehydration were the predictors of time to death. Therefore, intervention that focuses on the identified predictors could have a paramount effect to prolong time to death and reduce preterm mortality.