scholarly journals Grain Foods in US Infants Are Associated with Greater Nutrient Intakes, Improved Diet Quality and Increased Consumption of Recommended Food Groups

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2840
Author(s):  
Yanni Papanikolaou ◽  
Victor L. Fulgoni
Keyword(s):  
Dietary Fiber ◽  
Diet Quality ◽  
Dietary Pattern ◽  
Vitamin B6 ◽  
Daily Intake ◽  
Food Group ◽  
Dietary Guidelines ◽  
Committee Report ◽  
Food Groups ◽  
Grain Foods

There are limited data providing guidance on grain foods as part of a healthy dietary pattern in infants and may represent a gap in knowledge for the development of the 2020–2025 Dietary Guidelines for Americans Scientific Advisory Committee report currently in progress. An analysis using infant data from the National Health and Nutrition Examination Survey was conducted to assess grain food relationships with nutrient and energy intakes, diet quality, and food group consumption in infant consumers relative to non-consumers. Grain consumers were defined as infants consuming foods from the main grain food group, as defined by the US Department of Agriculture, and included whole and refined/enriched grains. All infants consuming grain foods had greater energy (kcal) vs. grain non-consumers (p’s < 0.0047). While infant grain consumers 6- to 12-months-old (N = 942) had higher daily intakes of sodium and added and total sugars, these infants also had significantly higher dietary fiber, calcium, folate, potassium, magnesium, zinc, phosphorus, choline, thiamin, riboflavin, and vitamin B6 compared to non-consumers. In 13- to 23-month-olds (N = 1668), grain consumption was associated with greater daily dietary fiber, iron, zinc, magnesium, phosphorus, folate, riboflavin, niacin, thiamin, vitamin A, vitamin B6, and vitamin B12 relative to non-consumers. Diet quality scores were significantly higher in all infant grain consumers examined in comparison to non-consumers (p’s < 0.0065). Grain intake was also linked with greater daily intake of several recommended food groups in both younger and older infants versus non-consumption of grains. The current analysis provides evidence to substantiate the inclusion of whole and enriched grain foods as part of the infant dietary pattern as beneficial associations between grain food consumption and dietary quality are apparent. Eliminating and/or reducing grain foods in infant dietary patterns may lead to unintended nutrient and health consequences.

scholarly journals The Role of Fortified and Enriched Refined Grains in the US Dietary Pattern: A NHANES 2009–2016 Modeling Analysis to Examine Nutrient Adequacy

2021 ◽  
Vol 8 ◽  
Author(s):  
Yanni Papanikolaou ◽  
Victor L. III Fulgoni
Keyword(s):  
Older Adults ◽  
Dietary Fiber ◽  
Dietary Pattern ◽  
Daily Intake ◽  
Dietary Guidelines ◽  
Refined Grains ◽  
Old Adults ◽  
Nutrient Adequacy ◽  
Modeling Analysis ◽  
The Us

Background: While dietary recommendations call for greater whole-grain intake and reduced refined grain consumption, there are limited peer-reviewed studies examining the influence of fortified/enriched refined grains on nutrient adequacy.Methods: A modeling analysis using data from National Health and Nutrition Examination Survey (NHANES) 2009–2016 estimated usual daily intake of shortfall nutrients for Dietary Guidelines for Americans (DGA) in the current dietary pattern and when specific percentages of fortified/enriched refined grain foods (bread, ready-to-eat cereals, and all-grained foods) were removed from the diet (19–50-year-old adults, N = 11,169; 51–99-year-old adults, N = 9,641).Results: While American adults are currently falling short of nutrient recommendations, eliminating 25, 50, and 100% of all grains consumed in the US dietary pattern resulted in a greater percentage of adults not meeting recommendations for several shortfall nutrients, including dietary fiber, folate DFE, iron, and magnesium. Removal of all grains led to a reduced energy intake by ~10% in both age groups examined. Currently, ~3.8% of 19–50-year-old adults meet the adequate intake (AI) for dietary fiber. Removal of 25, 50, and 100% of grains from the diet resulted in 2.6 ± 0.3, 1.8 ± 0.2, and 0.7 ± 0.1% of adults exceeded the AI for dietary fiber, respectively. Similarly, 11.0 and 13.8% of younger and older adults, respectively, fall short of folate, DFE recommendations with the current diet. Following the removal of 100% of grains from the diet, 43.4 ± 1.1 and 56.2 ± 1.0%, respectively, were below the estimated average requirement (EAR) for folate DFE. For iron, current dietary pattern consumption shows 8.4% and 0.8% of younger and older adults, respectively, are not meeting iron recommendations, however, removal of 100% of grains from the diet results in nearly 10 and 22% falling short of the EAR. Currently, about 51 and 54% of younger and older adults are below the EAR for magnesium; however, with the removal of 100% of grains, 68 and 73%, respectively, fall below the EAR.Conclusion: Removal of specific refined grains led to an increased percentage of Americans not meeting recommendations for several shortfall nutrients, including dietary fiber, folate, iron, and magnesium.

scholarly journals A Food Group Based Approach to Satisfy Nutrient Recommendations in Toddlers (12-24 Months) Using Dietary Modelling (P11-091-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Lynda O'Neill ◽  
Anne Dattilo ◽  
Matthieu Maillot ◽  
Florent Vieux ◽  
Jose Saavedra
Keyword(s):  
Vitamin D ◽  
Daily Intake ◽  
Food Group ◽  
Dietary Guidelines ◽  
Food Groups ◽  
University Of Minnesota ◽  
Dietary Recommendations ◽  
Data Set ◽  
Food Component ◽  
Nutrient Adequacy

Abstract Objectives The aim of this study was to optimize the quantity of daily intake of food groups to meet energy, nutrient needs, and to assess differences in diets using fortified versus unfortified foods to provide nutrient adequacy in the second year of life. Methods Mathematical modeling was applied to the Feeding Infants and Toddlers Study 2016 (observed diet) data set to develop optimized theoretical toddler (12 – 24 months old) diets. The model was constrained to meet median energy requirements and appropriate nutrient reference values and minimize the deviation from the average observed diet. Only the complementary food component of the diet was modelled. Using the Nutrition Data System for Research (NDSR, version 2015: University of Minnesota, Minneapolis, MN), the current US fortification of grains and dairy were accounted for and the analysis was repeated without fortification. Results The mathematically modeled diets revealed a lower quantity of food (613 to 732 g/day less) and energy (449.3 kcal/per day) were needed to meet nutrient recommendations, compared to the observed diet. The modelled diets contained less meat and fish and less starches and grains, compared to the observed diet. However, the modelled diets contained greater quantities of vegetables and fruit than the observed diet. Additional fruit and vegetables were required when the modelled diet was unfortified rather than when it was fortified. However, the fortified diet allowed for greater variety, and inclusion of other dairy (yogurt and cheese), and starches and grains compared with the unfortified diet. In terms of nutrient adequacy, the modelled fortifed diet met all recommendations, whereas the unfortified diet met all but vitamin D. Conclusions Our results indicate that with the exception of Vitamin D, nutrient needs of young toddler age children can be satisfied with lower and more appropriate energy intake than currently observed. These findings can assist with dietary recommendations based on a food group approach, for meal planning, or for the development of food based dietary guidelines. Funding Sources Nestlé Nutrition, Vevey, Switzerland.

Meat and Dietary Guidelines

2016 ◽  
pp. 124-130
Author(s):  
Rosemary Stanton
Keyword(s):  
Dietary Pattern ◽  
Food Group ◽  
Health Problems ◽  
Red Meat ◽  
Dietary Guidelines ◽  
Food Groups ◽  
Animal Products ◽  
Processed Meats ◽  
High Consumption ◽  
Healthy Dietary Pattern

This chapter aims to describe how meat fits into recommended dietary guidelines. In Australia, meat is included in one of the five food groups. However, this food group should not be described as the ‘meat group' as it includes alternative choices. These include animal products such as seafood, poultry and eggs but also plant-based alternatives such as legumes, tofu, nuts and seeds. Choosing a range of foods from within this group contributes to a healthy dietary pattern with nuts, seeds and legumes providing extra benefits. Increasing plant-based choices also makes it easier for those who consume meat to keep to the weekly limit recommended to reduce the risk of health problems associated with a high consumption of red meat. Processed meats are not included in any of the five food groups and are now seen as ‘discretionary' foods.

scholarly journals Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2667
Author(s):  
Kevin B. Comerford ◽  
Yanni Papanikolaou ◽  
Julie Miller Jones ◽  
Judith Rodriguez ◽  
Joanne Slavin ◽  
...  
Keyword(s):  
Food Quality ◽  
Diet Quality ◽  
Expert Panel ◽  
Present Report ◽  
Food Group ◽  
Dietary Guidelines ◽  
Evidence Based ◽  
Carbohydrate Quality ◽  
Dietary Guidelines For Americans

Carbohydrate-containing crops provide the bulk of dietary energy worldwide. In addition to their various carbohydrate forms (sugars, starches, fibers) and ratios, these foods may also contain varying amounts and combinations of proteins, fats, vitamins, minerals, phytochemicals, prebiotics, and anti-nutritional factors that may impact diet quality and health. Currently, there is no standardized or unified way to assess the quality of carbohydrate foods for the overall purpose of improving diet quality and health outcomes, creating an urgent need for the development of metrics and tools to better define and classify high-quality carbohydrate foods. The present report is based on a series of expert panel meetings and a scoping review of the literature focused on carbohydrate quality indicators and metrics produced over the last 10 years. The report outlines various approaches to assessing food quality, and proposes next steps and principles for developing improved metrics for assessing carbohydrate food quality. The expert panel concluded that a composite metric based on nutrient profiling methods featuring inputs such as carbohydrate–fiber–sugar ratios, micronutrients, and/or food group classification could provide useful and informative measures for guiding researchers, policymakers, industry, and consumers towards a better understanding of carbohydrate food quality and overall healthier diets. The identification of higher quality carbohydrate foods could improve evidence-based public health policies and programming—such as the 2025–2030 Dietary Guidelines for Americans.

scholarly journals Comparison of two exploratory dietary patterns in association with the metabolic syndrome in a Northern German population

2014 ◽  
Vol 112 (8) ◽  
pp. 1364-1372 ◽  
Author(s):  
Janett Barbaresko ◽  
Sabine Siegert ◽  
Manja Koch ◽  
Imke Aits ◽  
Wolfgang Lieb ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Dietary Guidelines ◽  
Processed Meat ◽  
German Population ◽  
Food Groups ◽  
Reduced Rank Regression ◽  
Cross Sectional ◽  
The Metabolic Syndrome

Diet is related to many chronic disease conditions such as the metabolic syndrome (MetS). We set out to compare behaviour-related with disease-related patterns and their association with the MetS in a German cross-sectional study. A total of 905 participants of a Northern German cohort (aged 25–82 years) completed a FFQ, underwent anthropometric assessments and provided a blood sample. Dietary patterns were derived by principal component analysis (PCA) and reduced-rank regression (RRR) from forty-two food groups. Components of the MetS were used as response variables for the RRR analysis. Simplified patterns comprising ten food groups were generated. Logistic regression analysis was performed to evaluate the likelihood of having the MetS across the quartiles of simplified pattern scores. We identified two similar dietary patterns derived by PCA and RRR characterised by high intakes of potatoes, various vegetables, red and processed meat, fats, sauce and bouillon. Comparing simplified patterns, an increased RRR pattern score was associated with a higher OR (2·18, 95 % CI 1·25, 3·81) of having the MetS than an increased PCA pattern score (OR 1·92, 95 % CI 1·21, 3·03). Comparing concordant food groups by both dietary pattern methods, a diet high in legumes, beef, processed meat and bouillon was also positively associated with the prevalence of the MetS after adjustment for potential confounders (OR 1·71, 95 % CI 1·04, 2·79). We identified a behaviour-related pattern that was positively associated with the MetS. The application of both dietary pattern methods may be advantageous to obtain information for designing and realising dietary guidelines. Prospective studies are needed to confirm the results.

scholarly journals Food and Food Groups in Inflammatory Bowel Disease (IBD): The Design of the Groningen Anti-Inflammatory Diet (GrAID)

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1067
Author(s):  
Marjo J. E. Campmans-Kuijpers ◽  
Gerard Dijkstra
Keyword(s):  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Food Group ◽  
Dietary Guidelines ◽  
Current Evidence ◽  
Group Level ◽  
Food Groups ◽  
Inflammatory Bowel ◽  
Anti Inflammatory

Diet plays a pivotal role in the onset and course of inflammatory bowel disease (IBD). Patients are keen to know what to eat to reduce symptoms and flares, but dietary guidelines are lacking. To advice patients, an overview of the current evidence on food (group) level is needed. This narrative review studies the effects of food (groups) on the onset and course of IBD and if not available the effects in healthy subjects or animal and in vitro IBD models. Based on this evidence the Groningen anti-inflammatory diet (GrAID) was designed and compared on food (group) level to other existing IBD diets. Although on several foods conflicting results were found, this review provides patients a good overview. Based on this evidence, the GrAID consists of lean meat, eggs, fish, plain dairy (such as milk, yoghurt, kefir and hard cheeses), fruit, vegetables, legumes, wheat, coffee, tea and honey. Red meat, other dairy products and sugar should be limited. Canned and processed foods, alcohol and sweetened beverages should be avoided. This comprehensive review focuses on anti-inflammatory properties of foods providing IBD patients with the best evidence on which foods they should eat or avoid to reduce flares. This was used to design the GrAID.

scholarly journals A short food-group-based dietary questionnaire is reliable and valid for assessing toddlers' dietary risk in relatively advantaged samples

2014 ◽  
Vol 112 (4) ◽  
pp. 627-637 ◽  
Author(s):  
Lucinda K. Bell ◽  
Rebecca K. Golley ◽  
Anthea M. Magarey
Keyword(s):  
Risk Score ◽  
Dietary Patterns ◽  
Reliability And Validity ◽  
Food Group ◽  
Dietary Guidelines ◽  
Risk Category ◽  
Food Groups ◽  
Sweetened Beverages ◽  
Dietary Risk ◽  
Highly Correlated

Identifying toddlers at dietary risk is crucial for determining who requires intervention to improve dietary patterns and reduce health consequences. The objectives of the present study were to develop a simple tool that assesses toddlers' dietary risk and investigate its reliability and validity. The nineteen-item Toddler Dietary Questionnaire (TDQ) is informed by dietary patterns observed in Australian children aged 14 (n552) and 24 (n493) months and the Australian dietary guidelines. It assesses the intake of ‘core’ food groups (e.g. fruit, vegetables and dairy products) and ‘non-core’ food groups (e.g. high-fat, high-sugar and/or high-salt foods and sweetened beverages) over the previous 7 d, which is then scored against a dietary risk criterion (0–100; higher score = higher risk). Parents of toddlers aged 12–36 months (Socio-Economic Index for Areas decile range 5–9) were asked to complete the TDQ for their child (n111) on two occasions, 3·2 (sd1·8) weeks apart, to assess test–retest reliability. They were also asked to complete a validated FFQ from which the risk score was calculated and compared with the TDQ-derived risk score (relative validity). Mean scores were highly correlated and not significantly different for reliability (intra-class correlation = 0·90, TDQ1 30·2 (sd8·6)v. TDQ2 30·9 (sd8·9);P= 0·14) and validity (r0·83, average TDQ ((TDQ1+TDQ2)/2) 30·5 (sd8·4)v. FFQ 31·4 (sd8·1);P= 0·05). All the participants were classified into the same (reliability 75 %; validity 79 %) or adjacent (reliability 25 %; validity 21 %) risk category (low (0–24), moderate (25–49), high (50–74) and very high (75–100)). Overall, the TDQ is a valid and reliable screening tool for identifying at-risk toddlers in relatively advantaged samples.

scholarly journals Comparing two methods for deriving dietary patterns associated with risk of metabolic syndrome among middle-aged and elderly Taiwanese adults with impaired kidney function

2020 ◽  
Author(s):  
Adi Lukas Kurniawan ◽  
Chien-Yeh Hsu ◽  
Hsiu-An Lee ◽  
Hsiao-Hsien Rau ◽  
Rathi Paramastri ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Kidney Function ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Density Lipoprotein ◽  
Principal Component ◽  
Dietary Guidelines ◽  
Food Groups ◽  
Reduced Rank Regression ◽  
Sugary Drinks

Abstract Background: Dietary patterns were associated with the risk of chronic disease development and outcome-related diseases. In this study, we aimed to compare the correlation between dietary patterns and metabolic syndrome (MetS) using two methods for identifying dietary patterns.Methods: The participants (n = 25,569) aged ≥ 40 years with impaired kidney function were retrieved from Mei Jau (MJ) Health Screening database from 2008 to 2010. Dietary patterns were identified by principal component analysis (PCA) and reduced rank regression (RRR) from twenty-two food groups using PROC FACTOR and PROC PLS functions.Results: We identified two similar dietary pattern characteristics (high intakes of deep fried foods, preserved or processed foods, dipping sauce, meat, sugary drinks, organ meats, jam/honey, fried rice/flour products, instant noodles and eggs) derived by PCA and RRR. Logistic regression analysis revealed that RRR-derived dietary pattern scores were positively associated with an odds ratio (OR = 1.70, 95% CI: 1.56, 1.86) of having MetS than PCA-derived dietary pattern scores (OR = 1.38, 95% CI: 1.27, 1.51). The correlations between RRR-derived dietary pattern scores and elevated systolic and diastolic blood pressure (OR = 1.30 for both) or low high density lipoprotein cholesterol in women (OR = 1.32) were statistically significant but not significant in PCA-derived dietary pattern scores.Conclusions: Our findings suggest that RRR gives better results when studying behavior related dietary patterns in association with MetS. RRR may be more preferable to provide dietary information for developing dietary guidelines among people with MetS. Further studies with prospective measurements are needed to verify whether RRR is a useful analytic tool for the association between dietary patterns and other chronic diseases.

scholarly journals Clustering of lifestyle factors in Spanish university students: the relationship between smoking, alcohol consumption, physical activity and diet quality

2012 ◽  
Vol 15 (11) ◽  
pp. 2131-2139 ◽  
Author(s):  
Carlos Moreno-Gómez ◽  
Dora Romaguera-Bosch ◽  
Pedro Tauler-Riera ◽  
Miquel Bennasar-Veny ◽  
Jordi Pericas-Beltran ◽  
...  
Keyword(s):  
Physical Activity ◽  
Alcohol Consumption ◽  
University Students ◽  
Diet Quality ◽  
Dietary Pattern ◽  
Dietary Habits ◽  
Lifestyle Factors ◽  
Balearic Islands ◽  
Dietary Guidelines ◽  
Processed Meat

AbstractObjectiveTo ascertain the prevalence of and association between main lifestyle factors (diet, physical activity, alcohol consumption and smoking) in students from the Balearic Islands University.DesignA cross-sectional, descriptive study. A questionnaire including questions on lifestyle, dietary habits and physical activity habits was administered to the students. Four different diet quality scores were calculated (Diet Diversity Score, Mediterranean Diet Score, Dietary Guidelines Score and Global Dietary Guidelines Score).SettingA sample of students from the Balearic Islands University.SubjectsNine hundred and eighty-seven students (45·5 % males; mean age 21·5 (sd 3·3) years).ResultsThe dietary pattern of the student population was characterized by a low consumption of cereals and tubers, fruits, vegetables, olive oil, legumes and nuts, and a high consumption of processed meat, sweets, snacks, soft drinks and pastries. Linear, positive and statistically significant correlations were found between the number of meals consumed daily and all of the diet quality scores determined. Determinants of diet quality, both in the univariate and multivariate analyses, were physical activity practice, sex, age and number of meals consumed daily.ConclusionsRisk factors such as smoking, diet and physical inactivity had a tendency of clustering among Spanish university students. Overall diet quality was low, due to important departures from dietary recommendations and loss of the traditional Mediterranean dietary pattern. Nutritional education campaigns that include promotion of physical activity practice are needed to improve the overall health status of this population.

scholarly journals Breakfast Consumption in Spain: Patterns, Nutrient Intake and Quality. Findings from the ANIBES Study, a Study from the International Breakfast Research Initiative

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1324 ◽  
Author(s):  
Emma Ruiz ◽  
José Ávila ◽  
Teresa Valero ◽  
Paula Rodriguez ◽  
Gregorio Varela-Moreiras
Keyword(s):  
Diet Quality ◽  
Daily Intake ◽  
Beta Carotene ◽  
Food Group ◽  
Cross Sectional Study ◽  
Spanish Population ◽  
Cross Sectional ◽  
Added Sugars ◽  
Nationally Representative ◽  
Total Fat

This study aimed to investigate energy, nutrient and food group intakes at breakfast in Spain and to examine for the first time, their relationship to the overall Diet Quality (DQ). The data used were from the Spanish ANIBES (anthropometric data, macronutrients and micronutrients intake, practice of physical activity, socioeconomic data and lifestyles in Spain), a cross-sectional study using a nationally representative sample of the Spanish population (9–75 years old). DQ was assessed using the Nutrient Rich Foods Index, adapted to total diets (NRF9.3d). Most (>85%) of the Spanish population were regular breakfast consumers, although one in five adolescents were breakfast skippers. Breakfast provides just 16–19% of the daily intake of energy. Relative to its daily energy contribution, the Spanish breakfast contributed a higher proportion of daily total carbohydrates, added sugars, sodium, thiamin, riboflavin, folates, iron, potassium, magnesium, phosphorus and especially in calcium. By contrast, the breakfast is low in water intake, protein, dietary fibre, total fat, polyunsaturated fatty acids, beta-carotene and vitamins E and D. In children and teenagers, the most commonly consumed breakfast food was chocolate (mainly as chocolate-flavoured milk and powder), followed by bakery and pastry, whole milk and semi-skimmed milk. In the older groups, a bigger variety of foods were reported. Consumers in the highest NRF9.3d tertile for diet quality tended to have a higher intake of positive nutrients at breakfast than other tertiles, most notably among adults.

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