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Abstract Snacking is a common dietary behaviour among adolescents contributing to more than one quarter of their total energy intake; however, the relationship between snacks and diet quality remains unclear. Hence, this study aimed to examine the characteristics of snacks among adolescents with different levels of diet quality. Dietary data collected from a nationally representative sample of Australian adolescents (12–18 years old, n = 935) using one 24-hour dietary recall in the National Nutrition and Physical Activity Survey were analysed. Snacks were defined based on participant-identified eating occasions, and diet quality was assessed using the Dietary Guideline Index for Children and Adolescents (DGI-CA). Marginal means and proportion of snack characteristics including snack frequency, snack energy density (ED), and commonly consumed foods at snack from the five food groups and discretionary foods at snack across DGI-CA tertiles (highest tertile indicating high guideline adherence) were estimated for both boys and girls using linear regression and logistic regression. Differences in means were tested using the F-test. The results showed no significant differences in the mean frequency of snacks across tertiles of DGI-CA scores. The mean ED of snacks decreased as DGI-CA scores increased in both boys (lowest tertile = 8.4, 95% CI [7.1, 10.0] kJ/g, highest tertile = 6.3 [5.4, 7.4] kJ/g) and girls (lowest tertile = 9.0 [7.8, 10.3] kJ/g, highest tertile = 5.9 [5.1, 6.9] kJ/g). As diet quality improved, the proportion of adolescents consuming discretionary (i.e., unhealthy) foods and foods from the five food group foods as snacks decreased and increased, respectively. In conclusion, adolescents with higher diet quality consumed snacks with a lower ED while lower proportion of them consume discretionary foods, and higher proportion of them consume from the five food groups. Encouraging the consumption of foods from the five food groups with lower ED as snacks presents an opportunity to enhance adolescent diet quality.

BackgroundAbdominal obesity, excess fat around the abdomen, is more harmful than other fat types and is a key diagnostic criterion for metabolic syndrome. It poses a growing global public health concern. This study aimed to assess the prevalence of and determinants of abdominal obesity among adults in southwest Ethiopia.MethodsA cross-sectional study involving 624 adults in Semen Bench district, southwest Ethiopia was conducted from May 23 to June 23, 2022. The data was gathered using questionnaires and anthropometric measurements. The data were analyzed using Stata version 18. A robust Poisson regression was used due to the abdominal obesity prevalence exceeding 10%. Variables with p-values < 0.25 in the bivariate analysis were included in the multivariable analysis. The adjusted prevalence ratio (APR) and 95% confidence interval were reported to indicate statistical significance and the strength of associations.ResultsThe prevalence of abdominal obesity was 18% (95% CI: 15–21%). After adjusting for confounding variables, the determinants of abdominal obesity included participants aged 31–50 (APR = 3.62, 95% CI: 2.67–8.95) and 51–65 (APR = 3.24, 95% CI: 2.51–8.69), being female (APR = 2.65, 95% CI: 1.63–4.98), having a low wealth index (APR = 1.46, 95% CI: 1.19–3.76), physical inactivity (APR = 1.39, 95% CI: 1.06–4.18), lack of adequate dietary diversity (APR = 3.08, 95% CI: 2.09–6.42), and food insecurity (APR = 2.84, 95% CI: 1.82–7.68).ConclusionThe research revealed that 18% of the participants exhibited abdominal obesity. Factors such as advanced age, being female, having a low wealth index, physical inactivity, insufficient dietary diversity, and food insecurity were identified as contributors to abdominal obesity. Therefore, it is crucial to develop targeted interventions to address modifiable factors, as this can also help prevent the onset of non-communicable chronic diseases associated with abdominal obesity.

BackgroundAnaemia, characterized by low red blood cell or haemoglobin levels, impairs oxygen transport in the body and poses a major global public health issue, particularly affecting pregnant women and children. This study focuses on identifying the factors contributing to anaemia among pregnant women receiving antenatal care (ANC) at Mizan-Tepi University Teaching Hospital (MTUTH) in southwest Ethiopia.MethodsA hospital-based unmatched case-control study was conducted from July 1 to August 30, 2022, involving 370 pregnant women (90 with anaemia and 280 without). Data collection included questionnaires, laboratory tests (Hgb and stool examination), and anthropometric measurements. SPSS version 21 was used for data analysis, with binary logistic regression identifying factors associated with anaemia. The significance level was set at a p-value

Dietary diversity in children may be influenced not only by individual circumstances but also by the features of the community in which they live. Our study aimed to assess community and individual-level determinants of minimum dietary diversity among children aged 6–23 months in Ethiopia. We included 2960 children aged 6–23 months from the recent Ethiopia Demographic and Health Survey. A minimum dietary diversity was defined as the consumption of at least five food groups out of the eight reference food groups within 24 h by children aged 6–23 months. Multilevel logistic regression was used to investigate the drivers of minimum dietary diversity in Ethiopian children aged 6–23 months. About 12⋅5 % of children met the bare minimum of dietary diversification. Age of the child (9–11 months AOR, 3⋅3 (95 % CI 1⋅8, 5⋅6), 12–17 months AOR, 4⋅0 (95 % CI 2⋅4, 6⋅7), 18–23 months AOR, 3⋅5 (95 % CI 2⋅0, 5⋅8)), caregiver listening radio at least once a week AOR, 1⋅6 (95 % CI 1⋅1, 2⋅4) and wealth quantiles (Second AOR, 1⋅8 (95 % CI 1⋅1, 3⋅1), Fourth AOR, 2⋅9 (95 % CI 1⋅6, 5⋅2) and Highest AOR, 2⋅2 (95 % CI 1⋅1, 4⋅2)) were individual characteristics associated with dietary diversity. Place of residence was the only community-level characteristic associated with children's dietary diversity (Rural AOR, 0⋅4 (95 % CI 0⋅2, 0⋅6)). The minimum dietary diversity among Ethiopian children is suboptimal. Nutrition programmes aimed at enhancing dietary diversity should be strengthened in this population, particularly for those from poor families and residing in rural areas.

Objectives We aim to analyse the trends and causes of mortality among adults in Addis Ababa.Setting This analysis was conducted using verbal autopsy data from the Addis Ababa Mortality Surveillance in Addis Ababa, Ethiopia.Participants All deceased adults aged 15 years and above between 2007–2012 and 2015–2017 were included in the analysis.Outcome measures We collected verbal autopsy and conducted physician review to ascertain cause of death.Result A total of 7911 data were included in this analysis. Non-communicable disease (NCD) accounted for 62.8% of adult mortality. Mortality from communicable diseases, maternal conditions and nutritional deficiencies followed this by accounting for 30.3% of total mortality. Injury accounted for 6.8% of total mortality. We have observed a significant decline in mortality attributed to group one cause of death (43.25% in 2007 to 12.34% in 2017, p

Introduction Mid-upper arm circumference (MUAC) has been suggested as an alternative screening tool to identify overweight and obesity in children and adolescents. Several studies have examined the diagnostic performance of MUAC to identify overweight and obesity in children and adolescents. However, the existing literature shows a considerable variability in measures of diagnostic performance and hence makes it difficult to direct clinical and public health practice. Therefore, this systematic review and meta-analysis aimed to synthesise evidence on the performance of MUAC to identify overweight and obesity in children and adolescents.Methods and analysis A systematic search of databases including PubMed, EMBASE, SCOPUS, Cochrane Database of Systematic Reviews, Cochrane CENTRAL, Web of Science, CINAHL and PsycINFO will be conducted. The search will cover all studies until 1 April 2021. Grey literature will also be retrieved from Google Scholar. Titles and abstracts will be screened by two independent reviewers. The Quality Assessment of Diagnostic Accuracy Studies 2 tool will be used to assess the risk of bias and clinical applicability of each study. To assess possible publication bias, we will use Deeks’ funnel plot. We will investigate the sources of heterogeneity by visual inspection of the paired forest plots and summary receiver operating characteristic plots. The pooled summary statistics for the area under the curve, sensitivities, specificities, likelihood ratios and diagnostic ORs with 95% CI will be reported.Ethics and dissemination The underlying study is based on published articles thus does not require ethical approval. The findings of the systematic review and meta-analysis will be published in a peer-reviewed journal and disseminated in different scientific conferences and seminars.PROSPERO registration number CRD42020183148.

BackgroundAdolescent overweight and obesity is a global public health problem, associated with an increased risk of metabolic syndrome. Recently, mid-upper arm circumference (MUAC) has been suggested as a screening tool to identify overweight and obesity among school-age children and early adolescents (5-14 years). However, little is known about the potential use of MUAC in the late adolescence period (15-19 years). Therefore, the present study aimed to evaluate the performance of MUAC to identify overweight (including obesity) in the late adolescence period in Ethiopia.MethodsWe conducted a cross-sectional study among 851 adolescents aged 15 to 19 years. We collected anthropometric data including MUAC, weight and height with the help of trained field workers. The receiver operating characteristic (ROC) curve analysis was used to examine the validity of MUAC compared to BMI Z score in identifying adolescents with overweight or obesity. Furthermore, we calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), proportion of correctly classified, positive, and negative likelihood ratio for the proposed optimal cut-offs.ResultsMUAC was strongly correlated with BMI Z score with a correlation coefficient (r) of 0.81 (95% CI; 0.79-0.84). The optimal MUAC cut-off for identifying adolescents with overweight or obesity was 27.7 cm for males and 27.9 cm for females. The area under the ROC curve (AUC) was 0.96 (95% CI; 0.93-0.98) for males and 0.96 (95% CI; 0.94-0.98) for females. The accuracy level of MUAC to identify adolescents with overweight (including obesity) was high for both sexes (overall a sensitivity of 91.1% and a specificity of 90.3%).ConclusionsMUAC has relatively equivalent accuracy with BMI Z score to identify overweight and obesity in adolescents. Hence, MUAC could be used as an alternative tool for surveillance and screening of overweight in adolescents aged 15-19 years.