Food pattern modeling to inform global guidance on complementary feeding of infants.

Nutrient needs are difficult to meet during infancy due to high nutrient requirements and the small quantities of food consumed. Guidelines to support food choice decisions are critical to promoting optimal infant health, growth and development and food pattern modeling can be used to inform guideline development. We employed the Optifood modeling system to determine if unfortified complementary foods could meet 13 nutrient targets for breastfed infants (6-11 months), and to describe food patterns that met, or came as close as possible to meeting targets. We also examined the impacts of eliminating food groups, increasing starchy staple foods or adding sentinel unhealthy foods. We collated a global food list from dietary studies in 37 countries and used this list to develop nutrient values for a set of 35 food subgroups. We analyzed infant dietary intakes from studies in eight countries to inform maximum quantities and frequencies of consumption for these subgroups in weekly food patterns. We found that unfortified foods could meet targets for most infants for 12 nutrients, but not for iron. For the smallest and youngest infants, with the lowest energy intakes, there were additional deficits for minerals. Best-case food patterns that met targets or came as close as possible to meeting targets included ample amounts of diverse vegetables, diverse plant- and animal-source protein foods, small amounts of whole grain foods and dairy and no refined grains or added fats or sugar. There were nutrient deficits if animal-source foods or vegetables were eliminated or if unhealthy foods were included.

Food Insecurity in Israeli Elderly is Associated with Sociodemographic Characteristics, Disability, and Depression: Policy Implications.

Background: Food insecurity (FI) and poor health can turn into a vicious cycle with detrimental effects, especially in the elderly, however, few studies have examined the relationship between FI and health in this age group. Objectives: We investigated associations of FI with physical and mental health and health behaviors among community-dwelling elderly. Methods: We used nationally representative, cross-sectional data from the 2014-2015 Israel National Health and Nutrition Survey of the Elderly (Rav Mabat Zahav) on FI, sociodemographic characteristics, noncommunicable diseases (NCDs), disability, self-assessed physical, oral, and mental health for 1006 individuals aged ≥65 y. Results: FI affected 12.3% of all households with elderly and was significantly higher among late immigrants and Arabs. Bivariate associations of FI with the number of NCDs, depression, disability in all 6 domains (vision, hearing, mobility, self-care, remembering, communication), poor self-assessed physical and oral health, chewing and swallowing problems, feelings of loneliness, insufficient physical activity, and smoking were significant (P < 0.05). In a multivariable logistic regression controlling for population group, household size, age and sex, FI was significantly associated (P < 0.05) with lack of formal education (OR: 6.26; 95% CI: 1.66, 23.65), being in the lowest (OR: 23.56; 95% CI: 3.71, 149.76) or second-lowest (OR: 16.75; 95% CI: 2.68, 104.52) per capita household income quartile, having one (OR: 2.11; 95% CI: 1.05, 4.23) or several disabilities (OR: 4.04; 95% CI: 1.72, 9.45), and having ever been diagnosed with depression (OR: 3.34; 95% CI: 1.35, 8.28). Conclusions: FI is associated with physical and mental health problems, multiple disabilities, and loneliness among Israeli elderly. Providing income support could reduce FI, and subsidized congregate and home-delivered meal services could be expanded to meet the needs of elderly with disabilities and counter social isolation. Because low education, disability, and depression are particularly prevalent among the food insecure and vulnerable groups face language barriers, assistance with applications for these services should be increased.

Introducing a Suite of Low-Burden Diet Quality Indicators That Reflect Healthy Diet Patterns at Population Level.

BACKGROUND: Few low-burden indicators of diet quality exist to track trends over time at low cost and with low technical expertise requirements. OBJECTIVE: The aim was to develop and validate a suite of low-burden indicators to reflect adherence to global dietary recommendations. METHODS: Using nationally representative, cross-sectional, quantitative dietary intake datasets from Brazil and the United States, we tested the association of food-group scores with quantitative consumption aligned with 11 global dietary recommendations. We updated the Healthy Diet Indicator (HDI) to include current quantifiable recommendations of the WHO (HDI-2020). We developed 3 food-group-based scores-an overall Global Dietary Recommendations (GDR) score as an indicator of all 11 recommendations composed of 2 subcomponents: GDR-Healthy, an indicator of the recommendations on "healthy" foods, and GDR-Limit, an indicator of the recommendations on dietary components to limit. We tested associations between these scores and the HDI-2020 and its respective subcomponents. We developed 9 dichotomous food-group-based indicators to reflect adherence to the global recommendations for fruits and vegetables, dietary fiber, free sugars, saturated fat, total fat, legumes, nuts and seeds, whole grains, and processed meats. We conducted receiver operating characteristic and sensitivity-specificity analyses to determine whether the dichotomous indicators were valid to predict adherence to the recommendations in both countries. RESULTS: The GDR score and its subcomponents were moderately to strongly associated with the HDI-2020 and its respective subcomponents (absolute values of rank correlation coefficients ranged from 0.55 to 0.66). Of the 9 dichotomous indicators, 8 largely met the criteria for predicting individual global dietary recommendations in both countries; 1 indicator (total fat) did not perform satisfactorily. CONCLUSIONS: Food-group consumption data can be used to indicate adherence to quantitative global dietary recommendations at population level. These indicators may be used to track progress of countries and populations toward meeting WHO guidance on healthy diets.

Zinc, iron and calcium are major limiting nutrients in the complementary diets of rural Kenyan children.

Poor quality infant and young child (IYC) diets contribute to chronic under-nutrition. To design effective IYC nutrition interventions, an understanding of the extent to which realistic food-based strategies can improve dietary adequacy is required. We collected 24-h dietary recalls from children 6-23 months of age (n = 401) in two rural agro-ecological zones of Kenya to assess the nutrient adequacy of their diets. Linear programming analysis (LPA) was used to identify realistic food-based recommendations (FBRs) and to determine the extent to which they could ensure intake adequacy for 12 nutrients. Mean nutrient densities of the IYC diets were below the desired level for four to nine of the 10 nutrients analysed, depending on the age group. Mean dietary diversity scores ranged from 2.1 ± 1.0 among children 6-8 months old in Kitui County to 3.7 ± 1.1 food groups among children 12-23 months old in Vihiga County. LPA confirmed that dietary adequacy for iron, zinc and calcium will be difficult to ensure using only local foods as consumed. FBRs for breastfed children that promote the daily consumption of cows'/goats' milk (added to porridges), fortified cereals, green leafy vegetables, legumes, and meat, fish or eggs, 3-5 times per week can ensure dietary adequacy for nine and seven of 12 nutrients for children 6-11 and 12-23 months old, respectively. For these rural Kenyan children, even though dietary adequacy could be improved via realistic changes in habitual food consumption practices, alternative interventions are needed to ensure dietary adequacy at the population level.

Simple food group diversity indicators predict micronutrient adequacy of women's diets in 5 diverse, resource-poor settings.

Women of reproductive age living in resource-poor settings are at high risk of inadequate micronutrient intakes when diets lack diversity and are dominated by staple foods. Yet comparative information on diet quality is scarce and quantitative data on nutrient intakes is expensive and difficult to gather. We assessed the potential of simple indicators of dietary diversity, such as could be generated from large household surveys, to serve as proxy indicators of micronutrient adequacy for population-level assessment. We used 5 existing data sets (from Burkina Faso, Mali, Mozambique, Bangladesh, and the Philippines) with repeat 24-h recalls to construct 8 candidate food group diversity indicators (FGI) and to calculate the mean probability of adequacy (MPA) for 11 micronutrients. FGI varied in food group disaggregation and in minimum consumption required for a food group to count. There were large gaps between intakes and requirements across a range of micronutrients in each site. All 8 FGI were correlated with MPA in all sites; regression analysis confirmed that associations remained when controlling for energy intake. Assessment of dichotomous indicators through receiver-operating characteristic analysis showed moderate predictive strength for the best choice indicators, which varied by site. Simple FGI hold promise as proxy indicators of micronutrient adequacy.