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BACKGROUND Many of the health benefits of tea have been attributed to its flavonoid content. Tea consumption in US adults varies by socioeconomic status (SES). OBJECTIVES The present objective was to explore intakes of total flavonoids and flavonoid subclasses by participant sociodemographics and by patterns of tea consumption. METHODS The present analyses were based on 2 d of dietary recalls for 17,506 persons aged >9 y in the 2011-2016 NHANES. The What We Eat in America nutrient composition database was merged with the USDA Expanded Flavonoid database, which included total flavonoids and flavan-3-ols (including catechins), flavanones, flavonols, anthocyanidins, flavones, and isoflavones. Flavonoid intakes were compared by sex, age, race/ethnicity, education, and income-to-poverty ratio (IPR) in univariate analyses. Flavonoid intakes of children and adults were also compared by tea consumption status. Time trends in flavonoid intakes were also examined. RESULTS Mean total flavonoid intake was 219 mg/d, of which flavan-3-ols provided 174 mg/d, or 79%. The highest total flavonoid intakes were found in adults aged 51-70 y (293 mg/d), non-Hispanic whites (251 mg/d) and in groups with college education (251 mg/d) and higher income (IPR >3.5: 249 mg/d) (P

Key messages Could DFS help prevent iron deficiency and anemia? Studies in controlled settings (efficacy) demonstrate that double-fortified salt (DFS; iron added to iodized salt) reduces the prevalence of anemia and iron deficiency anemia. Studies in program settings (effectiveness) are limited and reported differing levels of DFS coverage, resulting in mixed evidence of impact on anemia. What iron formulations are available and how do they affect iodized salt? Ferrous sulfate and encapsulated ferrous fumarate (both with various enhancers and/or coating materials) are the main iron formulations currently in use for DFS. Adding iron to iodized salt may lead to adverse changes in the product, specifically discoloration and losses in iodine content. These changes are greatest when the iodized salt used in DFS production is of low quality (e.g., contain impurities, has high moisture, and is of large crystal size). DFS requires iodized salt of the highest quality and a high-quality iron formulation in order to minimize adverse sensory changes and iodine losses. Appropriate packaging of iodized salt is also important to prevent losses. What is known about the minimum requirements to manufacture DFS? DFS producers must use high-quality refined iodized salt meeting the minimum standards for DFS production (which is higher than standards for salt intended for iodization alone), and an iron formulation for which there are rigid quality-assurance measures to ensure consistent quality and blending techniques. The actual proportion of iodized salt meeting the stringent requirements necessary for DFS production is unclear, but likely to be low in many countries, especially those with fragmented salt industries and a low proportion of industrially produced salt. What are the financial implications of adding iron to iodized salt? As a result of higher input costs both for input salt and the iron compound, DFS is more expensive to produce than iodized salt and thus has a higher production cost. Various grades of iodized salt are produced and consumed in different sectors of the market. Experience in India indicates that, on average, producing DFS costs 31–40 US dollars/metric ton or 0.03–0.04 US dollars/kg more than high-quality refined iodized salt. The exact impact of this production-level cost difference on profit margins and consumer price is specific to the conditions of different salt markets. Factors such as transport costs, customary wholesale and retail mark-ups, and taxes all vary greatly and need to be assessed on a case by case basis. Is DFS in alignment with salt-reduction efforts? The WHO has long recognized that salt iodization is an important public health intervention to achieve optimal iodine nutrition and is compatible with salt-reduction goals. Fortification of salt (with any nutrient) should not be used to justify or encourage an increase in salt intake to the public. Any effort to expand salt fortification to other nutrients should be done in close consultation with WHO and those working on salt reduction. What has been the experience with DFS delivery under different platforms? To date, DFS has been introduced into the retail market and in social safety net (primarily in India) programs, but sensory changes in DFS have been raised as concerns. The higher price for DFS has limited expansion in the retail market. In social safety net programs where the cost of DFS is subsidized for beneficiaries, programs must consider long-term resourcing for sustainability. Overall: The optimal production and delivery of DFS are still under development, as many challenges need to be overcome. There is a beneficial impact on hemoglobin in efficacy trials. Thus, if those conditions can be replicated in programs or the technology can be adapted to better fit current production and delivery realities, DFS may provide an effective contribution in countries that need additional food-fortification vehicles to improve iron intake.

The 2010 Dietary Guidelines Advisory Committee has recommended that no more than 5–15% of total dietary energy should be derived from solid fats and added sugars (SoFAS). The guideline was based on USDA food pattern modeling analyses that met the Dietary Reference Intake recommendations and Dietary Guidelines and followed typical American eating habits. This study recreated food intake patterns for 6 of the same gender-age groups by using USDA data sources and a mathematical optimization technique known as linear programming. The analytic process identified food consumption patterns based on 128 food categories that met the nutritional goals for 9 vitamins, 9 minerals, 8 macronutrients, and dietary fiber and minimized deviation from typical American eating habits. Linear programming Model 1 created gender- and age-specific food patterns that corresponded to energy needs for each group. Model 2 created food patterns that were iso-caloric with diets observed for that group in the 2001–2002 NHANES. The optimized food patterns were evaluated with respect to MyPyramid servings goals, energy density [kcal/g (1 kcal = 4.18 kJ)], and energy cost (US$/2000 kcal). The optimized food patterns had more servings of vegetables and fruit, lower energy density, and higher cost compared with the observed diets. All nutrient goals were met. In contrast to the much lower USDA estimates, the 2 models placed SoFAS allowances at between 17 and 33% of total energy, depending on energy needs.

Ranking and/or classifying foods based on their nutrient composition is known as nutrient profiling. Nutrition quality indices need to be tested and validated against quality of the total diet. A family of nutrient-rich foods (NRF) indices were validated against the Healthy Eating Index (HEI), an accepted measure of diet quality. All foods consumed by participants in NHANES 1999-2002 studies were scored using NRFn.3 (where n = 6-15) indices based on unweighted sums, means, and ratios of percent daily values (DV) for nutrients to encourage (n) and for nutrients to limit (LIM) (3). Individual food scores were calculated based on 100 kcal (418 kJ) and FDA serving sizes [reference amounts customarily consumed (RACC)]. Energy-weighted food-based scores per person were then regressed against HEI, adjusting for gender, age, and ethnicity. The measure of index performance was the percentage of variation in HEI (R2) explained by each NRF score. NRF indices based on both nutrients to encourage and LIM performed better than indices based on LIM only. Maximum variance in HEI was explained using 6 or 9 nutrients to encourage; index performance actually declined with the inclusion of additional vitamins and minerals. NRF indices based on 100 kcal (418 kJ) performed similarly to indices based on RACC. Algorithms based on sums or means of nutrient DV performed better than ratio-based scores. The NRF9.3 index, based on 9 nutrients to encourage and 3 LIM per RACC and per 100 kcal, explained the highest percentage of variation from HEI and could be readily expected to rank foods based on nutrient density.

Background: Consumption of small, frequent meals is suggested as an effective approach to control appetite and food intake and might be a strategy for weight loss or healthy weight maintenance. Despite much speculation on the topic, scientific evidence is limited to support such a relation in the absence of changes to diet composition. Objective: We examined the effects of high compared with low eating frequency (EF) on self-reported appetite as a secondary outcome in a controlled trial. Methods: We conducted a randomized, crossover intervention trial in 12 participants (4 men, 8 women) who completed 2 isocaloric 3-wk intervention phases of low EF (3 eating occasions/d) compared with high EF (8 eating occasions/d). On the last morning of each study phase, participants completed a 4-h appetite testing session. During the appetite testing session, participants completing the low EF phase consumed a meal at 0800. Participants completing the high EF intervention consumed the same meal spread evenly over 2 eating occasions at 0800 and 1030. Standardized ratings of hunger, desire to eat, fullness, thirst, and nausea were completed every 30 min with the use of paper-and-pencil semianchored 100-mm visual analog scales. A composite appetite score was calculated as the mean of hunger, desire to eat, and the inverse of fullness (calculated as 100-fullness rating). Linear regression analysis compared ratings between low EF and high EF conditions. Results: The mean composite appetite score was higher in the high EF condition for the total testing period (baseline through 1200) (P < 0.05) and for the time period from baseline through 1030 (P < 0.001). Conclusion: The results from this study in 12 healthy adults do not support the popularized notion that small, frequent meals help to decrease overall appetite. This trial was registered at clinicaltrials.gov as {"type":"clinical-trial","attrs":{"text":"NCT02548026","term_id":"NCT02548026"}}NCT02548026.

Iron-deficiency anemia (IDA) in refugees is reported to be among the major medical problems worldwide. Because food rations are typically inadequate in iron, long-term reliance is a key predictor of anemia among displaced people. Comprehensive nutritional assessments of refugee children from Burma have not previously been completed. Refugee children aged 6-59 mo were studied to determine 1) the prevalences of anemia, iron deficiency (ID) and IDA and 2) the factors associated with anemia and ID. Cluster sampling in three camps and convenience sampling in two additional camps were used. Hemoglobin (Hb) levels were measured and micro mol zinc protoporphyrin/mol heme were determined in 975 children. Logistic regression analyses (95% CI) determined predictors of anemia and ID. The prevalences of IDA, anemia and ID in these refugee children were 64.9, 72.0 and 85.4%, respectively. Predictors of anemia included young age (P < 0.001), food ration lasting

As incomes rise, the share of income spent on food decreases. To Engel's law should be added the observation that the diet structure changes as well. Incomes and the macronutrient composition of the diet are linked at the aggregate and-most likely-the individual level. People in higher income nations consume more added sugars and fats than do people in lower income nations. Lower income consumers within rich nations consume lower-quality diets than do higher income consumers. The lowering of energy costs ($/MJ) through technological innovation has been most marked for foods containing added sugars and fat. Although wealthier persons in poor nations are more likely to be overweight, obesity in the United States is associated with lower incomes. Obesity in the United States and similar societies may be a socioeconomic, as opposed to a medical, problem and one that is related to diet structure and diet costs.

Human desire for sweet taste spans all ages, races, and cultures. Throughout evolution, sweetness has had a role in human nutrition, helping to orient feeding behavior toward foods providing both energy and essential nutrients. Infants and young children in particular base many of their food choices on familiarity and sweet taste. The low cost and ready availability of energy-containing sweeteners in the food supply has led to concerns that the rising consumption of added sugars is the driving force behind the obesity epidemic. Low-calorie sweeteners are one option for maintaining sweet taste while reducing the energy content of children’s diets. However, their use has led to further concerns that dissociating sweetness from energy may disrupt the balance between taste response, appetite, and consumption patterns, especially during development. Further studies, preferably based on longitudinal cohorts, are needed to clarify the developmental trajectory of taste responses to low-calorie sweeteners and their potential impact on the diet quality of children and youth.

The consumption of nutrient-dense foods and beverages, which would ultimately be identified by a scientifically validated nutrient density profiling system, should be instituted as a nutrition platform in the Dietary Guidelines as a part of a larger educational effort to help people choose more nutrient-dense foods and as the guiding principle for consumers to plan healthful diets. By consciously choosing more nutrient-dense foods and beverages, Americans will be in a better position to meet their nutrient requirements without overconsuming energy. An objective, science-based, and validated nutrient density profiling system is needed to characterize foods based on their nutrient composition and this concept should be integrated into the Dietary Guidelines. This article sets forth guiding principles for the development and implementation of a nutrient density profiling system based on the current knowledge of diet and health and recommends that the development of a nutrient density profiling system include testing for effectiveness against accepted measures of diet quality, such as the Healthy Eating Index, and measurable public health markers, such as blood lipids and blood pressure.

Nutrient profiling ranks foods based on their nutrient content. They may help identify foods with a good nutritional quality for their price. This hypothesis was tested using diet modeling with linear programming. Analyses were undertaken using food intake data from the nationally representative French INCA (enquete Individuelle et Nationale sur les Consommations Alimentaires) survey and its associated food composition and price database. For each food, a nutrient profile score was defined as the ratio between the previously published nutrient density score (NDS) and the limited nutrient score (LIM); a nutritional quality for price indicator was developed and calculated from the relationship between its NDS:LIM and energy cost (in euro/100 kcal). We developed linear programming models to design diets that fulfilled increasing levels of nutritional constraints at a minimal cost. The median NDS:LIM values of foods selected in modeled diets increased as the levels of nutritional constraints increased (P = 0.005). In addition, the proportion of foods with a good nutritional quality for price indicator was higher (P < 0.0001) among foods selected (81%) than among foods not selected (39%) in modeled diets. This agreement between the linear programming and the nutrient profiling approaches indicates that nutrient profiling can help identify foods of good nutritional quality for their price. Linear programming is a useful tool for testing nutrient profiling systems and validating the concept of nutrient profiling.

Consumers wishing to replace some of the foods in their diets with more nutrient-dense options need to be able to identify such foods on the basis of nutrient profiling. The present study used nutrient profiling to rank 7 major food groups and 25 subgroups in terms of their contribution to dietary energy, diet quality, and diet cost for 1332 adult participants in the French National INCA1 Study. Nutrient profiles were based on the presence of 23 qualifying nutrients, expressed as the percentage of nutrient adequacy per 8 MJ, and 3 negative or disqualifying nutrients, expressed as the percentage of the maximal recommended values for saturated fatty acids, added sugar, and sodium per 1.4 kg. Calculated cost of energy (euro/8 MJ) was based on the mean retail price of 619 foods in the nutrient composition database. The meat and the fruit and vegetables food groups had the highest nutritional quality but were associated with highest energy costs. Sweets and salted snacks had the lowest nutritional quality but were also one of the least expensive sources of dietary energy. Starches and grains were unique because they were low in disqualifying nutrients yet provided low-cost dietary energy. Within each major food group, some subgroups had a higher nutritient-to-price ratio than others. However, the fact that food groups with the more favorable nutrient profiles were also associated with higher energy costs suggests that the present structure of food prices may be a barrier to the adoption of food-based dietary guidelines, at least by low-income households.

Increasing rates of childhood overweight have been linked to the rising energy density of the diet. We sought to provide temporal profiles of dietary energy density (DED) in a nationally representative sample of U.S. children and adolescents < or = 19 y old and to describe associations between DED and predictors of overweight. We used a subset of data from the 1994-1996, 1998 Continuing Survey of Food Intake for Individuals (CSFII) and a multivariate regression model to determine independent associations between DED and socioeconomic and demographic variables after controlling for covariates. In this cross-sectional data set, DED was positively associated with total energy intakes and varied with both age and gender. DED increased from birth, peaked at 7-8 y of age, and then declined. Boys consumed more energy-dense diets than girls. Among children < or = 4 y old, higher DED was associated in the regression model with lower household incomes and with enrollment in the food stamp program. Among adolescents 12-19 y old, higher DED was associated with being African-American. In contrast, lower DED among children < or = 11 y old was associated with being Asian or Hispanic and with total daily consumption of fluid milk. The quality of the diet for young children, as indexed by high DED, may be adversely affected by limited household economic resources. Although food insecurity and WIC enrollment were not associated with DED in this study sample, milk consumption in children < or = 4 y old was associated with lower DED.