scholarly journals Barriers and facilitators to following the Dietary Guidelines for Americans reported by rural, Northern Plains American-Indian children

2014 ◽  
Vol 18 (3) ◽  
pp. 482-489 ◽  
Author(s):  
Lisa Jahns ◽  
Leander McDonald ◽  
Ann Wadsworth ◽  
Charles Morin ◽  
Yan Liu ◽  
...  

AbstractObjectiveThe Dietary Guidelines for Americans (DGA) promote healthy dietary choices for all Americans aged 2 years and older; however, the majority of Americans do not meet recommendations. The goal of the present study was to identify both barriers and facilitators to adherence to DGA recommendations for consumption of five recommended food groups: grains (specifically whole grains), vegetables, fruits, meat/beans and milk (specifically reduced-fat/non-fat), among American-Indian children.DesignNominal group technique sessions were conducted to identify and prioritize children’s perceived barriers and facilitators to following the DGA, as presented in the ‘MyPyramid’ consumer education icon. After response generation to a single question about each food group (e.g. ‘What sorts of things make it harder (or easier) for kids to follow the MyPyramid recommendation for vegetables?’), children individually ranked their top five most salient responses. Ranked responses are presented verbatim.SettingA rural Northern Plains American-Indian reservation, USA.SubjectsSixty-one self-selected fifth-grade children.ResultsCore barriers for all food groups studied included personal preference (i.e. ‘don’t like’) and environmental (i.e. ‘cost too much’; ‘store is too far to get them’; ‘grandma don’t have’). Core facilitators included suggestions, i.e. ‘make a garden and plant vegetables’; ‘tell your friends to eat healthy’.ConclusionsBarriers and facilitators are dissimilar for individual food groups, suggesting that dietary interventions should target reduction of barriers and promotion of facilitators specific to individual food groups recommended by the DGA.

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2667
Author(s):  
Kevin B. Comerford ◽  
Yanni Papanikolaou ◽  
Julie Miller Jones ◽  
Judith Rodriguez ◽  
Joanne Slavin ◽  
...  

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.


Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1100
Author(s):  
Chelsea Didinger ◽  
Henry J. Thompson

Legume food crops can contribute to the solution of diet-related public health challenges. The rich diversity of the botanical family Fabaceae (Leguminosae) allows legumes to fill numerous nutritional niches. Pulses (i.e., a subgroup of legumes including chickpeas, cowpeas, dry beans, dry peas, and lentils) are a nutrient-dense food that could play a key role in eliminating the dramatic underconsumption of dietary fiber and potassium, two dietary components of public health concern, all while maintaining a caloric intake that promotes a healthy weight status. However, incorrect use of terminology—in the commercial and scientific literature as well as in publications and materials prepared for the consuming public—creates confusion and represents a barrier to dissemination of clear dietary guideline messaging. The use of accurate terminology and a simple classification scheme can promote public health through differentiation among types of legumes, better informing the development and implementation of nutritional policies and allowing health care professionals and the public to capitalize on the health benefits associated with different legumes. Although inconsistent grouping of legumes exists across countries, the recently released 2020–2025 Dietary Guidelines for Americans (DGA) were chosen to illustrate potential challenges faced and areas for clarification. In the 2020–2025 DGA, pulses are included in two food groups: the protein food group and ‘beans, peas, lentils’ vegetable subgroup. To evaluate the potential of pulses to contribute to intake of key dietary components within calorie recommendations, we compared 100 kilocalorie edible portions of pulses versus other foods. These comparisons demonstrate the unique nutritional profile of pulses and the opportunity afforded by this type of legume to address public health concerns, which can be greatly advanced by reducing confusion through global harmonization of terminology.


Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1067
Author(s):  
Marjo J. E. Campmans-Kuijpers ◽  
Gerard Dijkstra

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.


2014 ◽  
Vol 112 (4) ◽  
pp. 627-637 ◽  
Author(s):  
Lucinda K. Bell ◽  
Rebecca K. Golley ◽  
Anthea M. Magarey

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.


2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
Naglaa El‐Abbadi ◽  
Paul Jacques ◽  
Honghuang Lin ◽  
Gail Rogers ◽  
Lisa Troy

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Sali Abouhajar ◽  
Michael Dolan ◽  
Damian O'Kelly ◽  
Aileen Kennedy ◽  
Katherine Younger ◽  
...  

AbstractFood Based Dietary Guidelines (FBDG) are a set of recommendations that describe the quantity and types of foods to consume to promote healthy eating and prevent diseases such as obesity. However, when assessing compliance with FBDG, calculating contributions from composite dishes is challenging, since the specific recipe ingredients are often unknown. This project aims to establish proportional contribution of composite dishes to food groups defined by the Irish and UK FBDG. This will facilitate automated assessment of compliance with FBDG for users of novel technology such as Nutritics, a suite of integrated nutrition analysis software tools for healthcare professionals, educators and industries. Territory specific food composition data (n = 3291) for Ireland and the UK were downloaded from the 2015 McCance & Widdowson Composition of Foods Integrated Dataset (CoFIDs). Recipes were identified and classified into groups broadly aligned with the food groups defined in the Healthy Food for Life Ireland and the Eatwell Guide UK. Supplementary recipe details were accessed from McCance & Widdowson 7th Edition book and online resources. Recipes were categorised by recipe type and ingredients were categorised into food groups. Percentage contribution of each food group to the total recipe was calculated. Of the 3,291 foods, 1,108 were classified as recipes, details were available for 138 of these. Of the 138 recipes, there were fruit & vegetable dishes (n = 20), breads, potatoes, pasta and rice dishes (n = 12), meat, fish and alternative protein sources dishes (n = 40), dairy dishes (n = 23), high fat/oil, sugar, salt dishes (n = 43). For fruit & vegetable dishes, the median percentage contribution to the fruit & vegetable food group was 67% (15% min/ 100% max). For breads, potatoes, pasta and rice dishes the median percentage contribution to the breads, potatoes, pasta and rice food group was 53% (17% min/ 89% max). For meat, fish and alternative protein sources dishes, the median percentage contribution to meat, fish and alternative protein sources food group was 55% (16% min/ 85% max), for dairy dishes, the median percentage contribution to the dairy food group was 90% (53% min/ 96% max). For high fat/oil, sugar, salt dishes the median percentage contribution to the high fat/oil, sugar, salt food group was 22% (3% min/ 97% max). The calculation of recipes into percentage contribution to food groups can support assessment of adherence to FBDG when using reference recipes. This is a useful tool to support healthcare professionals when assessing dietary intake where specific recipe components are unknown.


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Michael Dolan ◽  
Sali Abouhajar ◽  
Damian O'Kelly ◽  
Elizabeth O'Sullivan ◽  
Aileen Kennedy ◽  
...  

AbstractFood Based Dietary Guidelines (FBDG) are dietary recommendations described in terms of amounts of foods that should be consumed. They are designed to support healthy eating through simple messaging and indicate how to achieve a nutritionally adequate diet. However, assessing compliance with FBDG targets can be difficult. The quantity of food either being consumed or prescribed and the amount of that food that constitutes a serving are needed to calculate the contribution of the food towards a food group target. The aim of this study was to define the serving weight of foods, guided by definitions from Irish FBDG, to the McCance and Widdowson Composition of Foods Integrated Dataset 2015 (CoFID). This will enable the automatic assessment of compliance to FBDG using Nutritics nutrition analysis software. Foods from CoFID were categorised into six food groups as defined by Ireland's FBDG. Quantified servings from the Irish FBDG were matched to foods. Calculation criteria were developed to establish a serving size for remaining foods within each food group. For fats and oils, as well as raw fruits and vegetables, household measurements were converted to grams, using Food Portion Sizes from the Food Standards Agency. Quantities for cooked fruits and vegetables were calculated using weight-change factors published by Bognar. For the breads, cereals and potatoes group a serving size was calculated using the midpoint for the calorie bands in this group, as defined by the Food Safety Authority of Ireland. For the dairy group, a serving size was determined by calculating the quantity needed to provide 250 mg of calcium. This was in line with achieving the total daily recommended amount of calcium from the dairy group from 3 servings. For meat, fish and alternatives (MFA), serving sizes were developed using the recommended amount of protein per body weight reference value for males and females. For foods high in fat, sugar and salt, serving sizes were defined using 100kcal as the recommended amount of energy provided for snacks. Out of 3,291 foods, 1,980 were grouped into 6 food groups. Quantified servings were available for 694 foods in 3 food groups. Calculated serving sizes were developed for the remaining 1,276 foods. The quantity of each food that constitutes a serving will be integrated into Nutritics to automatically assess compliance to FBDG. This will enable Health Care and Food Industry Professionals to deliver informed advice on meeting population health targets.


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