Dietary Intake, Cost, and Affordability by Socioeconomic Group in Australia

Few Australians consume diets consistent with the Australian Dietary Guidelines. A major problem is high intake of discretionary food and drinks (those not needed for health and high in saturated fat, added sugar, salt and/or alcohol). Low socioeconomic groups (SEGs) suffer particularly poor diet-related health. Surprisingly, detailed quantitative dietary data across SEGs was lacking. Analysis of the most recent national nutrition survey data produced habitual intakes of a reference household (two adults and two children) in SEG quintiles of household income. Cost and affordability of habitual and recommended diets for the reference household were determined using methods based on the Healthy Diets Australian Standardised Affordability and Pricing protocol. Low SEGs reported significantly lower intakes of healthy food and drinks yet similarly high intakes of discretionary choices to high SEGs (435 serves/fortnight). Total habitual diets of low SEGs cost significantly less than those of high SEGs (AU$751/fortnight to AU$853/fortnight). Results confirmed low SEGs cannot afford a healthy diet. Lower intakes of healthy choices in low SEGs may help explain their higher rates of diet-related disease compared to higher SEGs. The findings can inform potential policy actions to improve affordability of healthy foods and help drive healthier diets for all Australians.

Young Children Feeding Practices: An Update from the Sultanate of Oman

Despite proven benefits, most countries fail to meet international targets for appropriate complementary and Breast Feeding (BF) practices. This study assessed feeding practices of children under two years of age and correlated them with family parameters in Oman, a high income country in the Eastern Mediterranean Region. Methods: Data from this study originated from the latest Oman National Nutrition Survey (ONNS). Assessment of children and their mothers’ socioeconomic, anthropometric, and nutritional variables was conducted at the household level. Evaluated feeding practices included age appropriate BF, diet diversity, and minimum acceptable diet (MAD). Results: Pairs of mothers and infants (n = 1344) were assessed. Early BF, exclusive BF at 6 months, infant formula, and iron rich meals were provided to 81, 29, 44, and 84% of children, respectively. Age appropriate BF and MAD were found in 58% and 35% of children, respectively. Low maternal education, younger age, low household income, and governorate negatively affected diet acceptability. Conclusion: Omani children successfully received early BF postpartum and consumed iron rich meals. Yet, rates of exclusive BF rates at six months and MAD for children under two were low. Comprehensive strategies should be placed to assess and influence children feeding practices in the Sultanate.

Preschoolers’ and Mothers Dietary Practices and Compliance with the 24-h Movement Guidelines: Results of Oman’s National Nutrition Survey

Introduction: Little is known on the nutritional and lifestyle variables of preschool children in Oman. This study analyzed data of the 2017 Oman National Nutrition Survey to assess the prevalence and interrelationships between dietary and movement variables among preschool children, aged 2–5 years. Methods: Household visits of a nationally representative sample evaluated mothers and children’s dietary, sleep and physical activity practices; media exposure; and anthropometric and sociodemographic variables. Results: Dyads of mothers and pre-school children aged 2–5 years (n = 1771) were assessed. Childhood overweight/obesity was prevalent in 2% of the sample. Over 54% of children consumed sweetened items and/or French fries or chips at least once daily. Over 65% of children had fruits and/or vegetables once daily or less. Mothers had healthier dietary and movement habits compared to their offspring. Compliance with media exposure was the lowest among mothers and children. Multivariate regression revealed children’s increased sweet intake was the only significant predictor of excess weight in children. Conclusion: This study revealed a low prevalence of overweight/obesity among preschool children in Oman. Children had an acceptable compliance with sleeping recommendations, yet limited adherence to media exposure, activity, added sugar and fruits and vegetables guidelines.

Cost and Affordability of Healthy, Equitable and Sustainable Diets in Low Socioeconomic Groups in Australia

Few Australians consume a healthy, equitable and more sustainable diet consistent with the Australian Dietary Guidelines (ADGs). Low socioeconomic groups (SEGs) suffer particularly poor diet-related health problems. However, granular information on dietary intakes and affordability of recommended diets was lacking for low SEGs. The Healthy Diets Australian Standardised Affordability and Pricing protocol was modified for low SEGs to align with relevant dietary intakes reported in the National Nutrition Survey 2011–2012(which included less healthy and more discretionary options than the broader population), household structures, food purchasing habits, and incomes. Cost and affordability of habitual and recommended diets of low SEGs were calculated using prices of ‘standard brands’ and ‘cheapest options’. With ‘standard brands’, recommended diets cost less than habitual diets, but were unaffordable for low SEGs. With ‘cheapest options’, both diets were more affordable, but recommended diets cost more than habitual diets for some low SEGs, potentially contributing to perceptions that healthy food is unaffordable. The study confirms the need for an equity lens to better target dietary guidelines for low SEGs. It also highlights urgent policy action is needed to help improve affordability of recommended diets.

Socio-economic inequality in anthropometric failure among children aged under 5 years in India: evidence from the Comprehensive National Nutrition Survey 2016–18

Background Conventional indicators used to access the nutritional status of children tend to underestimate the overall undernutrition in the presence of multiple anthropometric failures. Further, factors contributing to the rich-poor gap in the composite index of anthropometric failure (CIAF) have not been explored. This study aims to estimate the prevalence of CIAF and quantify the contribution of factors that explain the rich-poor gap in CIAF. Methods The present study used data of 38,060 children under the age of five years and their biological mothers, drawn from the nationally representative Comprehensive National Nutrition Survey of children and adolescents aged 0–19 years in India. The CIAF outcome variable in this study provide an overall prevalence of undernutrition, with six mutually exclusive anthropometric measurements of height-for-age, height-for-weight, and weight-for-age, calculated using the World Health Organization (WHO) Multicenter Growth Reference Study. Multivariate regression and decomposition analysis were used to examine the association between covariates with CIAF and to estimate the contribution of different covariates in the existing rich-poor gap. Results An overall CIAF prevalence of 48.2% among children aged aged under 5 years of age was found in this study. 6.0% children had all three forms of anthropometric failures. The odds of CIAF were more likely among children belonging to poorest households (AOR: 2.41, 95% CI: 2.12–2.75) and those residing in urban area (AOR: 1.06, 95% CI 1.00–1.11). Children of underweight mothers and those with high parity were at higher risk of CIAF (AOR: 1.51, 95% CI: 1.42–1.61) and (AOR: 1.15, 95% CI: 1.08–1.22), respectively. Children of mother exposed to mass media were at lower risk of CIAF (AOR: 0.87, 95% CI: 0.81–0.93). Conclusion This study estimated a composite index to assess the overall anthropometric failure, which also provides a broader understanding of the extent and pattern of undernutrition among children. Findings show that maternal covariates contribute the most to the rich-poor gap. As well, the findings suggest that intervention programs with a targeted approach are crucial to reach the most vulnerable groups and to reduce the overall burden of undernutrition.

Discriminatory performance of mid-upper arm circumference for identifying thin and severely thin adolescents: a secondary data analysis using Comprehensive National Nutrition Survey

Background: Timely identification of adolescents with undernutrition is of utmost importance, and recently, mid-upper circumference (MUAC) had been considered as an alternative to body mass index (BMI) and BMI for age z-score (BAZ) for its screening. However, little is known about the MUAC cut-offs, specific to age and sex. The study was planned to assess the discriminatory performance of MUAC in identifying thin and severely thin adolescents and estimating age specific MUAC cut-offs, separately for males and females, against BAZ as the gold standard. Methods: The Comprehensive National Nutrition Survey (CNNS), India data was used for this analysis. The Receiver Operating Characteristic curve (ROC), area under curve (AUC), and Youden Index were used to estimate MUAC cut-off values for thin (BAZ < -2) and severely thin (BAZ < -3) adolescents. The current analysis was done on 31471 adolescents. Results: The MUAC cut-offs for identifying thin adolescents were: for 10-14 years – 19.2/19.4 cm, for 15-19 years – 22.9/21.7 cm for males and females respectively; and for severe thinness were: for 10-14 years – 18.4/18.3 cm, for 15-19 years – 21.9/20.2 cm for males/females. For thinness, the cut-off varied between 17.4-24.5 cm (for 10-19 years) among males, and for females, it varied between 17.5 -20.9 cm (for 10-19 years). For severe thinness, MUAC cut-off ranged between 16.4-23.7 cm (for 10-19 years) among males, and for females, between 17.3-20.7 cm (for 10-19 years). Conclusion: Thus, age- and sex-specific cut-offs could be considered for screening thin and severely thin adolescents.

Using underweight for predicting stunting among children in India: Analysis from the Comprehensive National Nutrition Survey

Background: Stunting and underweight are the most commonly used indicators to assess the nutritional status of children. Prior research has highlighted the problems encountered while measuring the height of child. The current paper aims to assess the relationship between stunting and underweight and derive regression equations to predict stunting from underweight prevalence among children under five years of age.Method: Data was drawn from 38,060 and 219,796 nationally representative sample of children aged 0-4 years, from Comprehensive National Nutrition Survey (CNNS, 2016-18) and National Family Health Survey 4 (NFHS-4, 2015-16), respectively. Anthropometric indicators, stunting and underweight was calculated based on the 2006 WHO Child Growth Standards. Univariate and bivariate analysis was done to obtain estimates for stunting and underweight. A series of regression models were run to obtain an estimate of percent stunted as a function of percent underweight at the national and regional level. Predicted stunting prevalence was estimated from regression equation for selected states and compared with observed prevalence from other studies. Data were analysed using STATA V.16.0. Results: Nearly one out of four children under 5 years of age were stunted and underweight in CNNS and NFHS-4. Out of those stunted, 67% and 65% were underweight in CNNS and NFHS-4, respectively. At the national level, there was high correlation between the two indicators (r > 0.7) in both CNNS and NFHS-4, whereas at the regional level in NFHS-4, the correlation coefficient ranged from 0.32 for central region to 0.86 for southern region. At the national level the slope was 0.557 in CNNS and 0.610 in NFHS-4. At the regional level, it varied from 0.334 in the central region to 0.847 in the western region. Similarly, at the national level, the intercept (α) was almost same when we analyzed CNNS data or NFHS-4 data or both together (~15), however, wide variability was observed between different regions (4.61 in western region to 30.14 in central region).Conclusion: Our analysis shows that regression equations with child underweight prevalence may be used to predict stunting where the quality of length/ height measurement is poor or unavailable, in regions where high correlation between the two indicators was found.