Energy allowances for solid fats and added sugars in nutritionally adequate U.S. diets estimated at 17-33% by a linear programming model

Developing a novel optimisation approach for keeping heterogeneous diets healthy and within planetary boundaries for climate change

BACKGROUND AND OBJECTIVES

Current dietary habits have substantial negative impacts on the health of people and the planet. This study aimed to develop a novel approach for achieving health-promoting and climate-friendly dietary recommendations for a broad range of consumers.

SUBJECTS AND METHODS

Hierarchical clustering analysis was combined with linear programming to design nutritionally adequate, health-promoting, climate-friendly and culturally acceptable diets using Swedish national dietary data (n = 1797). Diets were optimised for the average consumption of the total population as well as for the dietary clusters.

RESULTS

Three dietary clusters were identified. All optimised diets had lower shares of animal-source foods and contained higher amounts of plant-based foods. These dietary shifts reduced climate impacts by up to 53% while leaving much of the diet unchanged. The optimised diets of the three clusters differed from the optimised diet of the total population. All optimised diets differed considerably from the food-group pattern of the EAT-Lancet diet.

CONCLUSIONS

The novel cluster-based optimisation approach was able to generate alternatives that may be more acceptable and realistic for a sustainable diet across different groups in the population.

Some Ultra-Processed Foods Are Needed for Nutrient Adequate Diets: Linear Programming Analyses of the Seattle Obesity Study

Typical diets include an assortment of unprocessed, processed, and ultra-processed foods, along with culinary ingredients. Linear programming (LP) can be used to generate nutritionally adequate food patterns that meet pre-defined nutrient guidelines. The present LP models were set to satisfy 22 nutrient standards, while minimizing deviation from the mean observed diet of the Seattle Obesity Study (SOS III) sample. Component foods from the Fred Hutch food frequency questionnaire comprised the market basket. LP models generated optimized 2000 kcal food patterns by selecting from all foods, unprocessed foods only, ultra-processed foods only, or some other combination. Optimized patterns created using all foods contained less fat, sugar, and salt, and more vegetables compared to the SOS III mean. Ultra-processed foods were the main sources of added sugar, saturated fat and sodium. Ultra-processed foods also contributed most vitamin E, thiamin, niacin, folate, and calcium, and were the main sources of plant protein. LP models failed to create optimal diets using unprocessed foods only and ultra-processed foods only: no mathematical solution was obtained. Relaxing the vitamin D criterion led to optimized diets based on unprocessed or ultra-processed foods only. However, food patterns created using unprocessed foods were significantly more expensive compared to those created using foods in the ultra-processed category. This work demonstrates that foods from all NOVA categories can contribute to a nutritionally adequate diet.

Economic hardship and child intake of foods high in saturated fats and added sugars: the mediating role of parenting stress among high-risk families

OBJECTIVE

Economic hardship (EH) may link to poorer child diet, however whether this association is due to resource limitations or effects on family functioning is unknown. This study examines whether parenting stress mediates the association between EH and child consumption of foods high in saturated fats and added sugars (SFAS).

DESIGN

Data were collected from the Fragile Families and Child Wellbeing study. EH was assessed using eight items collected when children were between 1-9 years old. Mothers reported parenting stress and frequency of child consumption of high SFAS foods when children were 9 years old. Latent growth curve modelling (LGCM) and structural equation modelling tested direct associations between the starting level/rate of change in EH and high SFAS food consumption, and parenting stress as a mediator of the association.

SETTING

Twenty US cities.

PARTICIPANTS

Mothers/children (n 3846) followed birth through age 9 years, oversampled 'high-risk', unmarried mothers.

RESULTS

LGCM indicated a curvilinear trend in EH from ages 1-9, with steeper increases from ages 3-9 years. EH did not directly predict the frequency of high SFAS foods. Average EH at 3 and 5 years and change in EH from ages 1-9 predicted higher parenting stress, which in turn predicted more frequent consumption of high SFAS foods.

CONCLUSIONS

Findings suggest it may be important to consider parenting stress in early prevention efforts given potential lasting effects of early life EH on child consumption of high SFAS foods. Future research should explore how supports and resources may buffer effects of EH-related stress on parents and children.

Stability and Change in Early Life Economic Hardship Trajectories and the Role of Sex in Predicting Adolescent Overweight/Obesity

There is evidence that poverty is related to adverse child health outcomes. Yet, evidence is lacking on how economic hardship experiences during early childhood are related to adolescent obesity, how the relationship may differ by child sex, in addition to the potential child and maternal behavioral factors that link economic hardship and adolescent obesity. The purpose of the current study was to address this gap by using longitudinal data from the Fragile Families and Child Wellbeing Study (N = 1814). The analytic sample included 50.5% girls, 20% experiencing overweight status, and 19% experiencing obesity. Majority of the adolescents were born to non-Hispanic black (49%), U.S. born (86%), married/cohabitating mothers (61%) with high school or greater level of education (75%). The economic hardship trajectory classes were determined using the latent growth mixture modeling approach and supported a 4-class trajectory model, with 5% of the adolescents in the high-increasing economic hardship trajectory class. The children in the high-increasing economic hardship class had increased odds of developing overweight/obesity in adolescence compared to those in low-stable class. This association was significantly moderated by child sex (i.e., relationship was significant for adolescent boys). Parenting stress and child snacking behaviors did not significantly mediate the association between economic hardship classes and overweight/obesity. Economic hardships that increase through early childhood need to be recognized as an obesity risk factor particularly for adolescent boys.

Intake of saturated fat, trans fat, and added sugars by the Brazilian population: an indicator to evaluate diet quality

BACKGROUND/OBJECTIVE

In recent decades, changes in the diet of Brazilians have been characterized by increased consumption of high energy-dense foods, rich in fat and sugar. This study was aimed at assessing diet quality based on the intake of foods with high content of solid fat and added sugars (SoFAS).

SUBJECTS/METHODS

The first Brazilian National Dietary Survey (2008-2009) is a nationwide representative cross-sectional study that collected food records from 34,003 ≥ 10-year-old individuals. A receiver-operating characteristic curve was used to determine the limit that would identify diets with high SoFAS content.

RESULTS

The limit of 45% of total dietary energy provided by SoFAS was adopted to classify diets with excessive content. The SoFAS provided 53% of daily energy intake to adolescents, 49% to adults, and 48% to the elderly. A high intake of SoFAS was found in 64.7% of adolescents, 59.1% of adults, and 57.8% of the elderly. The contribution of SoFAS to daily energy intake increased with income in all age groups. Those with high consumption of SoFAS had higher intakes of sugar-sweetened beverages, cookies and cakes, processed meats, chips, candy and chocolate, and sandwiches and snacks, when compared with those that had moderate SoFAS intake (<45% of daily energy).

CONCLUSIONS

The 45% cutoff point for the contribution of SoFAS foods to total energy intake, utilized to classify low-quality diets, allowed to point out the high-risk profile of the Brazilian diet.

Ecological momentary assessment of the snacking environments of children from racially/ethnically diverse households

Children consume nearly one-third of their daily energy intake as snacks (i.e., eating occasions that occur between meals); thus there is a growing interest in understanding what snacking occasions look like in the homes of young children. This study makes use of ecological momentary assessment (EMA) to 1) examine differences in the contextual factors, including location, food preparation style, people present, presence of media devices, and overall atmosphere, between meal and snack occasions; and 2) explore differences in the context of snacking occasions across children's gender and weight status. Data for the current study came from the Family Matters Study, which included 150 families with children aged 5-7 years old (n = 25 from each of the following groups: Black/African American, Hispanic, Hmong, Native American, Somali, White). Parents completed an 8-day EMA observation period, during which they were surveyed after each eating occasion with the study child; questions explored contextual factors including location, food preparation style, people present, presence of media devices, and the overall atmosphere of each eating occasion. Differences between meals and snacks were observed; a smaller percentage of snacks (compared to meals) were prepared by the parent, consisted of only homemade food, and were planned ahead of time, as opposed to being served in response to a child's request. Snacks were more likely than other meals to be eaten on the couch and in the presence of a screen. Furthermore, important differences in snacking context were observed by child gender and weight status. Findings illuminate opportunities to improve children's overall dietary intake via interventions focused on improving the quality of foods served during snacks, as well as the contextual environment in which snacks are eaten.

Nutritionally adequate food baskets optimised for cultural acceptability as basis for dietary guidelines for low-income Czech families

BACKGROUND

Czech nutrition recommendations prioritize health aspects without considering affordability. Low socio-economic groups have the highest risk of nutrition-related noncommunicable diseases and cost has been identified as an obstacle to achieve a healthy diet, making the implementation of affordability into dietary guidelines necessary. The aim of this study was to develop a food basket (FB) for a low income Czech family of four that is nutritionally adequate, health-promoting and culturally acceptable at an affordable price.

METHODS

Linear programming optimisation was used to ascertain that the FB covered the recommended nutrient intakes from the Czech Nutrition Society and from the World Health Organization (WHO). Cost of the FB was calculated on the basis of more than 3900 prices of 330 foods. Within a given cost constraint, all FBs were optimized for the highest possible similarity to the reported food group intake according to the most recent Czech National Food Consumption survey, which was used as a proxy for cultural acceptability.

RESULTS

The optimised FB affordable at a daily food budget for a Czech family on minimum wage (CZK 177, ~ € 6.8) contained 76 foods and had an average relative deviation of 10% per food category from reported intake. The main deviations were: 72% less sweets and confectionery; 66% less salt; 52% less meat; 50% less milk products; 8% less potatoes; and 484% more milk; 69% more oils and fats; 20% more cereals; and 6% more vegetables.

CONCLUSIONS

The optimised FB can help to guide the development of food-based dietary guidelines for low income households in Czech Republic.

Food choices: concordance in Australian children aged 11-12 years and their parents

OBJECTIVES

Snack foods-typically high in salt, sugar, fat and/or energy-are likely important to the obesity epidemic. In the context of a population-based health assessment involving parent-child dyads at child age 11-12 years, we report cross-generational concordance in intake at a controlled snack food observation.

DESIGN

Cross-sectional study (Child Health CheckPoint), nested within the Longitudinal Study of Australian Children.

SETTING

Assessment centres in seven Australian cities, February 2015-March 2016.

PARTICIPANTS

Of all participating CheckPoint families (n=1874), 1299 children (50.3% girls) and 1274 parents (85.9% mothers) with snack data were included. Survey weights and methods were applied to account for the clustered multistage sample design.

OUTCOME MEASURES

Partway through the 3.5-hour assessment, parents and children attended Food Stop separately for a timed 15 min 'snack break'. One of four standardised box size/content combinations was randomly provided to all participants on any given day. Total food mass, energy, nutrients and sodium consumed was measured to the nearest 1 g. Pearson's correlation coefficients and adjusted multivariable linear regression models assessed parent-child concordance in each variable.

RESULTS

Children consumed less grams (151 g [SD 80] vs 165 g [SD 79]) but more energy (1393 kJ [SD 537] vs 1290 kJ [SD 658]) than parents. Parent-child concordance coefficients were small, ranging from 0.07 for sodium intake to 0.17 for carbohydrate intake. Compared with children with parents' energy intake on the 10th centile, children whose parents were on the 90th centile ate on average 227 kJ more. If extrapolated to one similar unsupervised snack on a daily basis, this equates to an additional 83 050 kJ per year, which could have a cumulative impact on additional body fat.

CONCLUSIONS

Although modest at an individual level, this measured parent-child concordance in unsupervised daily snack situations could account for substantial annual population differences in energy, fat and sodium intake for children aged 11-12 years.

TRIAL REGISTRATION NUMBER

ISRCTN12538380.

Dietary cost associated with adherence to the Mediterranean diet, and its variation by socio-economic factors in the UK Fenland Study

High cost of healthy foods could be a barrier to healthy eating. We aimed to examine the association between dietary cost and adherence to the Mediterranean diet in a non-Mediterranean country. We evaluated cross-sectional data from 12 417 adults in the UK Fenland Study. Responses to 130-item FFQ were used to calculate a Mediterranean diet score (MDS). Dietary cost was estimated by matching food consumption data with retail prices of five major supermarkets. Using multivariable-adjusted linear regression, we examined the association of MDS and individual foods with dietary cost in absolute and relative scales. Subsequently, we assessed how much the association was explained by education, income, marital status and occupation, by conducting mediation analysis and testing interaction by these variables. High compared with low MDS (top to bottom third) was associated with marginally higher cost by 5·4 % (95 % CI 4·4, 6·4) or £0·20/d (95 % CI 0·16, 0·25). Participants with high adherence had higher cost associated with the healthier components (e.g. vegetables, fruits and fish), and lower cost associated with the unhealthy components (e.g. red meat, processed meat and sweets) (P for trend<0·001 each). In total, 20·7 % (95 % CI 14·3, 27·0) of the MDS-cost association was explained by the selected socio-economic factors, and the MDS-cost association was of greater magnitude in lower socio-economic groups (P interaction<0·005). Overall, greater adherence to the Mediterranean diet was associated with marginally higher dietary cost, partly modified and explained by socio-economic status, but the potential economic barriers of high adherence might be offset by cost saving from reducing unhealthy food consumption.

Mathematical Optimization to Explore Tomorrow's Sustainable Diets: A Narrative Review

A sustainable diet is, by definition, nutritionally adequate, economically affordable, culturally acceptable, and environmentally respectful. Designing such a diet has to integrate different dimensions of diet sustainability that may not be compatible with each other. Among multicriteria assessment methods, diet optimization is a whole-diet approach that simultaneously combines several metrics for dimensions of diet sustainability. This narrative review based on 67 published studies shows how mathematical diet optimization can help with understanding the relations between the different dimensions of diet sustainability and how it can be properly used to identify sustainable diets. Diet optimization aims to find the optimal combination of foods for a population, a subpopulation, or an individual that fulfills a set of constraints while minimizing or maximizing an objective function. In the studies reviewed, diet optimization was used to examine the links between dimensions of diet sustainability, identify the minimum cost or environmental impact of a nutritionally adequate diet, or identify food combinations able to combine ≥2 sustainability dimensions. If some constraints prove difficult to fulfill, this signals an incompatibility between nutrient recommendations, over-monotonous food-consumption patterns, an inadequate supply of nutrient-rich foods, or an incompatibility with other dimensions. If diet optimization proves successful, it can serve to design nutritionally adequate, culturally acceptable, economically affordable, and environmentally friendly diets. Diet optimization results can help define dietary recommendations, tackle food security issues, and promote sustainable dietary patterns. This review emphasizes the importance of carefully choosing the model parameters (variables, objective function, constraints) and input data and the need for appropriate expertise to correctly interpret and communicate the results. Future research should make improvements in the choice of metrics used to assess each aspect of a sustainable diet, especially the cultural dimension, to improve the practicability of the results.

A Review of the Use of Linear Programming to Optimize Diets, Nutritiously, Economically and Environmentally

The "Diet Problem" (the search of a low-cost diet that would meet the nutritional needs of a US Army soldier) is characterized by a long history, whereas most solutions for comparable diet problems were developed in 2000 or later, during which computers with large calculation capacities became widely available and linear programming (LP) tools were developed. Based on the selected literature (52 papers), LP can be applied to a variety of diet problems, from food aid, national food programmes, and dietary guidelines to individual issues. This review describes the developments in the search for constraints. After nutritional constraints, costs constraints, acceptability constraints and ecological constraints were introduced. The 12 studies that apply ecological constraints were analyzed and compared in detail. Most studies have used nutritional constraints and cost constraints in the analysis of dietary problems and solutions, but such research begin showing weaknesses under situations featuring a small number of food items and/or nutritional constraints. Introducing acceptability constraints is recommended, but no study has provided the ultimate solution to calculating acceptability. Future possibilities lie in finding LP solutions for diets by combining nutritional, costs, ecological and acceptability constraints. LP is an important tool for environmental optimization and shows considerable potential as an instrument for finding solutions to a variety of very complex diet problems.

Taking dietary habits into account: A computational method for modeling food choices that goes beyond price

Computational models have gained popularity as a predictive tool for assessing proposed policy changes affecting dietary choice. Specifically, they have been used for modeling dietary changes in response to economic interventions, such as price and income changes. Herein, we present a novel addition to this type of model by incorporating habitual behaviors that drive individuals to maintain or conform to prior eating patterns. We examine our method in a simulated case study of food choice behaviors of low-income adults in the US. We use data from several national datasets, including the National Health and Nutrition Examination Survey (NHANES), the US Bureau of Labor Statistics and the USDA, to parameterize our model and develop predictive capabilities in 1) quantifying the influence of prior diet preferences when food budgets are increased and 2) simulating the income elasticities of demand for four food categories. Food budgets can increase because of greater affordability (due to food aid and other nutritional assistance programs), or because of higher income. Our model predictions indicate that low-income adults consume unhealthy diets when they have highly constrained budgets, but that even after budget constraints are relaxed, these unhealthy eating behaviors are maintained. Specifically, diets in this population, before and after changes in food budgets, are characterized by relatively low consumption of fruits and vegetables and high consumption of fat. The model results for income elasticities also show almost no change in consumption of fruit and fat in response to changes in income, which is in agreement with data from the World Bank's International Comparison Program (ICP). Hence, the proposed method can be used in assessing the influences of habitual dietary patterns on the effectiveness of food policies.

Simulated Models Suggest That Price per Calorie Is the Dominant Price Metric That Low-Income Individuals Use for Food Decision Making

BACKGROUND

The price of food has long been considered one of the major factors that affects food choices. However, the price metric (e.g., the price of food per calorie or the price of food per gram) that individuals predominantly use when making food choices is unclear. Understanding which price metric is used is especially important for studying individuals with severe budget constraints because food price then becomes even more important in food choice.

OBJECTIVE

We assessed which price metric is used by low-income individuals in deciding what to eat.

METHODS

With the use of data from NHANES and the USDA Food and Nutrient Database for Dietary Studies, we created an agent-based model that simulated an environment representing the US population, wherein individuals were modeled as agents with a specific weight, age, and income. In our model, agents made dietary food choices while meeting their budget limits with the use of 1 of 3 different metrics for decision making: energy cost (price per calorie), unit price (price per gram), and serving price (price per serving). The food consumption patterns generated by our model were compared to 3 independent data sets.

RESULTS

The food choice behaviors observed in 2 of the data sets were found to be closest to the simulated dietary patterns generated by the price per calorie metric. The behaviors observed in the third data set were equidistant from the patterns generated by price per calorie and price per serving metrics, whereas results generated by the price per gram metric were further away.

CONCLUSIONS

Our simulations suggest that dietary food choice based on price per calorie best matches actual consumption patterns and may therefore be the most salient price metric for low-income populations.

Parenting around child snacking: development of a theoretically-guided, empirically informed conceptual model

BACKGROUND

Snacking contributes to excessive energy intakes in children. Yet factors shaping child snacking are virtually unstudied. This study examines food parenting practices specific to child snacking among low-income caregivers.

METHODS

Semi-structured interviews were conducted in English or Spanish with 60 low-income caregivers of preschool-aged children (18 non-Hispanic white, 22 African American/Black, 20 Hispanic; 92% mothers). A structured interview guide was used to solicit caregivers' definitions of snacking and strategies they use to decide what, when and how much snack their child eats. Interviews were audio-recorded, transcribed verbatim and analyzed using an iterative theory-based and grounded approach. A conceptual model of food parenting specific to child snacking was developed to summarize the findings and inform future research.

RESULTS

Caregivers' descriptions of food parenting practices specific to child snacking were consistent with previous models of food parenting developed based on expert opinion [1, 2]. A few noteworthy differences however emerged. More than half of participants mentioned permissive feeding approaches (e.g., my child is the boss when it comes to snacks). As a result, permissive feeding was included as a higher order feeding dimension in the resulting model. In addition, a number of novel feeding approaches specific to child snacking emerged including child-centered provision of snacks (i.e., responding to a child's hunger cues when making decisions about snacks), parent unilateral decision making (i.e., making decisions about a child's snacks without any input from the child), and excessive monitoring of snacks (i.e., monitoring all snacks provided to and consumed by the child). The resulting conceptual model includes four higher order feeding dimensions including autonomy support, coercive control, structure and permissiveness and 20 sub-dimensions.

CONCLUSIONS

This study formulates a language around food parenting practices specific to child snacking, identifies dominant constructs, and proposes a conceptual framework to guide future research.

The Nutrient Balance Concept: A New Quality Metric for Composite Meals and Diets

Background

Combinations of foods that provide suitable levels of nutrients and energy are required for optimum health. Currently, however, it is difficult to define numerically what are ‘suitable levels’.

Objective

To develop new metrics based on energy considerations—the Nutrient Balance Concept (NBC)—for assessing overall nutrition quality when combining foods and meals.

Method

The NBC was developed using the USDA Food Composition Database (Release 27) and illustrated with their MyPlate 7-day sample menus for a 2000 calorie food pattern. The NBC concept is centered on three specific metrics for a given food, meal or diet—a Qualifying Index (QI), a Disqualifying Index (DI) and a Nutrient Balance (NB). The QI and DI were determined, respectively, from the content of 27 essential nutrients and 6 nutrients associated with negative health outcomes. The third metric, the Nutrient Balance (NB), was derived from the Qualifying Index (QI) and provided key information on the relative content of qualifying nutrients in the food. Because the Qualifying and Disqualifying Indices (QI and DI) were standardized to energy content, both become constants for a given food/meal/diet and a particular consumer age group, making it possible to develop algorithms for predicting nutrition quality when combining different foods.

Results

Combining different foods into composite meals and daily diets led to improved nutrition quality as seen by QI values closer to unity (indicating nutrient density was better equilibrated with energy density), DI values below 1.0 (denoting an acceptable level of consumption of disqualifying nutrients) and increased NB values (signifying complementarity of foods and better provision of qualifying nutrients).

Conclusion

The Nutrient Balance Concept (NBC) represents a new approach to nutrient profiling and the first step in the progression from the nutrient evaluation of individual foods to that of multiple foods in the context of meals and total diets.

Relation between diet cost and Healthy Eating Index 2010 scores among adults in the United States 2007-2010

BACKGROUND

Food prices may be one reason for the growing socioeconomic disparities in diet quality.

OBJECTIVE

To evaluate the association between diet costs and the Healthy Eating Index-2010 (HEI-2010).

METHODS

Cross-sectional study based on 11,181 adults from the 2007-2010 National Health and Nutrition Examination Survey, analyzed in spring 2014. Diet cost was estimated by linking dietary data with a national food price database. The HEI-2010, a measure of adherence to the dietary guidelines, was the outcome. The population ratio method was used to estimate the average HEI-2010 scores by quintile of energy-adjusted diet cost. Additional analyses evaluated the association between cost and HEI-2010 components.

RESULTS

There was a strong positive association between lower energy-adjusted diet costs and lower HEI-2010 scores. The association was stronger among women (p-interaction=0.003). Lower diet costs were associated with lower consumption of vegetables, fruits, whole grains, and seafood, and higher consumption of refined grains and solid fat, alcohol and added sugars.

CONCLUSIONS

Lower energy-adjusted diet costs were associated with lower-quality diets. Future efforts to improve the nutritional status of the US public should take food prices and diet costs into account.

A qualitative study of parents' perceptions and use of portion size strategies for preschool children's snacks

OBJECTIVE

Increases in childhood obesity correspond with shifts in children's snacking behaviors and food portion sizes. This study examined parents' conceptualizations of portion size and the strategies they use to portion snacks in the context of preschool-aged children's snacking.

METHODS

Semi-structured qualitative interviews were conducted with non-Hispanic white (W), African American (AA), and Hispanic (H) low-income parents (n = 60) of preschool-aged children living in Philadelphia and Boston. The interview examined parents' child snacking definitions, purposes, contexts, and frequency. Verbatim transcripts were analyzed using a grounded theory approach. Coding matrices compared responses by race/ethnicity, parent education, and household food security status.

RESULTS

Parents' commonly referenced portion sizes when describing children's snacks with phrases like "something small." Snack portion sizes were guided by considerations including healthfulness, location, hunger, and timing. Six strategies for portioning snacks were presented including use of small containers, subdividing large portions, buying prepackaged snacks, use of hand measurement, measuring cups, scales, and letting children determine portion size. Differences in considerations and strategies were seen between race/ethnic groups and by household food security status.

CONCLUSIONS

Low-income parents of preschool-aged children described a diverse set of considerations and strategies related to portion sizes of snack foods offered to their children. Future studies should examine how these considerations and strategies influence child dietary quality.

High proportions of foods recommended for consumption by United States Dietary Guidance contain solid fats and added sugar: results from the National Health and Nutrition Examination Survey (2007-2008)

BACKGROUND

The 2010 Dietary Guidelines for Americans (DGA) recommend that individuals age two years and older reduce intakes of solid fats (SoF) and added sugars (AS; together SoFAS). MyPlate illustrates the proportions of five major food groups to promote healthy eating (Vegetables, Grains, Protein Foods, Fruits and Dairy).

METHODS

To assess if the foods currently consumed by Americans are in concordance with the DGA, food consumption data from What We Eat In America, National Health and Nutrition Examination Survey (WWEIA-NHANES) 2007-2008 (n = 8 527) was used to estimate the proportion of foods that contained SoFAS and to report them by food group. Weighted analysis was conducted to be nationally representative.

RESULTS

The Dairy group contained the highest proportion (93%) of either SoF or AS, followed by Grains (70% SoF; 70% AS; 50% both). Fruits contained the least SoFAS (7%).

CONCLUSIONS

Results suggest that the high proportion of SoFAS in each recommended food group makes it challenging for Americans to reduce their intake of SoFAS.

Sources of excessive saturated fat, trans fat and sugar consumption in Brazil: an analysis of the first Brazilian nationwide individual dietary survey

OBJECTIVE

To examine the patterns of consumption of foods high in solid fats and added sugars (SoFAS) in Brazil.

DESIGN

Cross-sectional study; individual dietary intake survey. Food intake was assessed by means of two non-consecutive food records. Foods providing >9·1% of energy from saturated fat, or >1·3% of energy from trans fat, or >13% of energy from added sugars per 100 g were classified as high in SoFAS.

SETTING

Brazilian nationwide survey, 2008-2009.

SUBJECTS

Individuals aged ≥10 years old.

RESULTS

Mean daily energy intake was 8037 kJ (1921 kcal), 52% of energy came from SoFAS foods. Contribution of SoFAS foods to total energy intake was higher among women (52%) and adolescents (54%). Participants in rural areas (43%) and in the lowest quartile of per capita family income (43%) reported the smallest contribution of SoFAS foods to total energy intake. SoFAS foods were large contributors to total saturated fat (87%), trans fat (89%), added sugar (98%) and total sugar (96%) consumption. The SoFAS food groups that contributed most to total energy intake were meats and beverages. Top SoFAS foods contributing to saturated fat and trans fat intakes were meats and fats and oils. Most of the added and total sugar in the diet was supplied by SoFAS beverages and sweets and desserts.

CONCLUSIONS

SoFAS foods play an important role in the Brazilian diet. The study identifies options for improving the Brazilian diet and reducing nutrition-related non-communicable chronic diseases, but also points out some limitations of the nutrient-based criteria.

Major food sources of calories, added sugars, and saturated fat and their contribution to essential nutrient intakes in the U.S. diet: data from the National Health and Nutrition Examination Survey (2003-2006)

BACKGROUND

The risk of chronic disease cannot be predicted simply by the content of a single nutrient in a food or food group in the diet. The contribution of food sources of calories, added sugars and saturated fat (SFA) to intakes of dietary fiber and micronutrients of public health importance is also relevant to understanding the overall dietary impact of these foods.

OBJECTIVE

Identify the top food sources of calories, added sugars and SFA in the U.S. diet and quantify their contribution to fiber and micronutrient intakes.

METHODS

Single 24-hour dietary recalls (Day 1) collected from participants ≥2 years (n = 16,822) of the What We Eat in America, National Health and Nutrition Examination Survey (WWEIA/NHANES 2003-2006) were analyzed. All analyses included sample weights to account for the survey design. Calorie and nutrient intakes from foods included contributions from disaggregated food mixtures and tabulated by rank order.

RESULTS

No one food category contributes more than 7.2% of calories to the overall U.S. diet, but half of the top 10 contribute 10% or more of total dietary fiber and micronutrients. Three of the top 10 sources of calories and SFA (beef, milk and cheese) contribute 46.3% of the calcium, 49.5% of the vitamin D, 42.3% of the vitamin B12 as well as other essential nutrients to the American diet. On the other hand, foods categorized as desserts, snacks, or beverages, contribute 13.6% of total calories, 83% of added sugar intake, and provide little or no nutritional value. Including food components of disaggregated recipes more accurately estimated the contribution of foods like beef, milk or cheese to overall nutrient intake compared to "as consumed" food categorizations.

CONCLUSIONS

Some food sources of calories, added sugars and SFA make major contributions to American dietary fiber and micronutrient intakes. Dietary modifications targeting reductions in calories, added sugar, or SFA need to take these key micronutrient sources into account so as not to have the unintended consequence of lowering overall dietary quality.

Food pattern modeling shows that the 2010 Dietary Guidelines for sodium and potassium cannot be met simultaneously

The 2010 US Dietary Guidelines recommended limiting intake of sodium to 1500 mg/d for people older than 50 years, African Americans, and those suffering from chronic disease. The guidelines recommended that all other people consume less than 2300 mg sodium and 4700 mg of potassium per day. The theoretical feasibility of meeting the sodium and potassium guidelines while simultaneously maintaining nutritional adequacy of the diet was tested using food pattern modeling based on linear programming. Dietary data from the National Health and Nutrition Examination Survey 2001-2002 were used to create optimized food patterns for 6 age-sex groups. Linear programming models determined the boundary conditions for the potassium and sodium content of the modeled food patterns that would also be compatible with other nutrient goals. Linear programming models also sought to determine the amounts of sodium and potassium that both would be consistent with the ratio of Na to K of 0.49 and would cause the least deviation from the existing food habits. The 6 sets of food patterns were created before and after an across-the-board 10% reduction in sodium content of all foods in the Food and Nutrition Database for Dietary Studies. Modeling analyses showed that the 2010 Dietary Guidelines for sodium were incompatible with potassium guidelines and with nutritionally adequate diets, even after reducing the sodium content of all US foods by 10%. Feasibility studies should precede or accompany the issuing of dietary guidelines to the public.

A conflict between nutritionally adequate diets and meeting the 2010 dietary guidelines for sodium

BACKGROUND

Compliance with dietary guidelines means incorporating multiple foods and nutrients into everyday diets, to be consumed in smaller or larger amounts. Feasibility studies can help determine whether one nutrient guideline comes into conflict with another. For one half of the U.S. population, the 2010 dietary guidelines for sodium were set at 1500 mg/d.

PURPOSE

To test the compatibility of the 1500 mg/day sodium goal with nutrient-adequate diets.

METHODS

Analyses, conducted in 2010, used U.S. federal nutrient composition and dietary intake databases to create modeled food patterns for six gender-age groups using linear programming techniques. The food patterns were designed to meet nutritional standards for 27 nutrients as the mean sodium content was progressively reduced from levels observed in the 2001-2002 National Health and Nutrition Examination Survey (NHANES) down to 1500 mg/day.

RESULTS

For adults aged <50 years, the 2300 mg/day sodium goal was consistent with nutrient-adequate diets but required large deviations from current eating patterns. The 1500 mg/day goal was not feasible and no mathematical solution was obtained. The lowest-sodium food patterns that were nutrient-adequate and theoretically achievable were very high in fruit juices, nuts, and seeds but were low in grains and meats.

CONCLUSIONS

Compliance with the 2010 sodium guidelines will require large deviations from current eating behaviors and/or a profound modification of the U.S. food supply.

A simulation study of the potential effects of healthy food and beverage substitutions on diet quality and total energy intake in Lower Mississippi Delta adults

The majority of adult diets in the United States, particularly the South, are of poor quality, putting these individuals at increased risk for chronic diseases. In this study, simulation modeling was used to determine the effects of substituting familiar, more healthful foods and beverages for less healthy ones on diet quality and total energy intake in Lower Mississippi Delta (LMD) adults. Dietary data collected in 2000 for 1689 LMD adults who participated in the Foods of Our Delta Study were analyzed. The Healthy Eating Index-2005 (HEI-2005) was used to measure diet quality. The effects of substituting targeted foods and beverages with more healthful items on diet quality were simulated by replacing the targeted items' nutrient profile with their replacements' profile. For the single food and beverage groups, 100% replacement of grain desserts with juice-packed fruit cocktail and sugar-sweetened beverages with water resulted in the largest improvements in diet quality (4.0 and 3.8 points, respectively) and greatest decreases in total energy intake (98 and 215 kcal/d, respectively). The 100% substitution of all food and beverage groups combined resulted in a 12.0-point increase in HEI-2005 score and a decrease of 785 kcal/d in total energy intake. Community interventions designed to improve the diet of LMD adults through the use of familiar, healthy food and beverage substitutions have the potential to improve diet quality and decrease energy intake of this health disparate population.

The shortest way to reach nutritional goals is to adopt Mediterranean food choices: evidence from computer-generated personalized diets

BACKGROUND

Dietary guidelines can be derived from dietary patterns known to be healthy such as the traditional Mediterranean diet. They can also be deduced by translating a set of nutrient recommendations into food combinations. However, the latter may vary depending on the decisions made by different expert committees.

OBJECTIVE

The objective was to compare the effect of removing or adding selected nutrient recommendations on the dietary changes needed to fulfill a whole set of nutrient recommendations.

DESIGN

For each adult participating in the French INCA dietary survey (Enquête Individuelle et Nationale sur les Consommations Alimentaires) (n = 1171), a nutritionally adequate diet was modeled that simultaneously met a whole set of nutrient goals (proteins, fiber, essential fatty acids, 10 vitamins, 9 minerals, sodium, saturated fatty acids, free sugars) while deviating the least from the observed diet in terms of food content. Eight sets of models were developed according to the inclusion or not of constraints on total fats, total carbohydrates, total MUFAs, and cholesterol.

RESULTS

Compared with the observed intakes, fulfilling the whole set of nutrient constraints systematically decreased total fats and increased total carbohydrates, even in the absence of specific constraints on those macronutrients. For whichever model used, a strong consistency was observed in the dietary changes needed to fulfill the constraints, and the greatest increases were seen for unsalted nuts, unrefined grains, legumes, fruit, fish and shellfish, and vegetables.

CONCLUSION

Whether recommendations on total fats, MUFAs, or total carbohydrates are included or not in the definition of overall nutrient adequacy, foods typical of the Mediterranean diet are needed to reach overall nutrient adequacy.