scholarly journals The impact of restaurant consumption among US adults: effects on energy and nutrient intakes

2014 ◽  
Vol 17 (11) ◽  
pp. 2445-2452 ◽  
Author(s):  
Binh T Nguyen ◽  
Lisa M Powell
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Fast Food ◽  
Fixed Effects ◽  
Saturated Fat ◽  
Individual Characteristics ◽  
Total Energy Intake ◽  
Net Energy ◽  
The Impact ◽  
Daily Total

AbstractObjectiveTo examine the effect of fast-food and full-service restaurant consumption on adults’ energy intake and dietary indicators.DesignIndividual-level fixed-effects regression model estimation based on two different days of dietary intake data was used.SettingParallel to the rising obesity epidemic in the USA, there has been a marked upward trend in total energy intake derived from food away from home.SubjectsThe full sample included 12 528 respondents aged 20–64 years who completed 24 h dietary recall interviews for both day 1 and day 2 in the National Health and Nutrition Examination Survey (NHANES) 2003–2004, 2005–2006, 2007–2008 and 2009–2010.ResultsFast-food and full-service restaurant consumption, respectively, was associated with an increase in daily total energy intake of 813·75 kJ (194·49 kcal) and 858·04 kJ (205·21 kcal) and with higher intakes of saturated fat (3·48 g and 2·52 g) and Na (296·38 mg and 451·06 mg). Individual characteristics moderated the impacts of restaurant food consumption with adverse impacts on net energy intake being larger for black adults compared with their white and Hispanic counterparts and greater for middle-income v. high-income adults.ConclusionsAdults’ fast-food and full-service restaurant consumption was associated with higher daily total energy intake and poorer dietary indicators.

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

2012 ◽  
Vol 17 (1) ◽  
pp. 113-121 ◽  
Author(s):  
Rosangela A Pereira ◽  
Kiyah J Duffey ◽  
Rosely Sichieri ◽  
Barry M Popkin
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Rural Areas ◽  
Family Income ◽  
Saturated Fat ◽  
Total Sugar ◽  
Total Energy Intake ◽  
Food Groups ◽  
Cross Sectional ◽  
Added Sugars

AbstractObjectiveTo examine the patterns of consumption of foods high in solid fats and added sugars (SoFAS) in Brazil.DesignCross-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.SettingBrazilian nationwide survey, 2008–2009.SubjectsIndividuals aged ≥10 years old.ResultsMean 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.ConclusionsSoFAS 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.

scholarly journals Impact of Fortified Ultra-Processed Foods on Risk of Anemia: A New Perspective for Pediatric Nutrition

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 841-841
Author(s):  
Daniel Hoffman ◽  
Paula dos Leffa ◽  
Caroline Sangalli ◽  
Julia Valmórbida ◽  
André Dornelles ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Diet Quality ◽  
Low Income ◽  
Lower Risk ◽  
Total Energy Intake ◽  
Processed Foods ◽  
Double Burden ◽  
Poor Diet ◽  
The Impact

Abstract Objectives Poor diet quality is a major risk factor for the development of anemia. An increased consumption of fortified ultra-processed food (UPF) among children presents a new contributor to micronutrient intake, one that could potentially improve anemia biomarkers despite having a concomitantly low diet quality. Our objective was to investigate the impact of fortified UPF consumption on the prevalence of anemia and diet quality among children from low-income families in Brazil. Methods A cross-sectional analyses from a randomized field trial of children at 3 years of age (n = 432) from Porto Alegre, Brazil. Capillary blood samples were taken to measure hemoglobin concentration (Hb) and used to determine anemia status. Dietary data was assessed using two multiple-pass 24-h recalls and the consumption of UPF was classified according to the NOVA system. Results UPF account for 42.6% of total energy intake. Children in the highest tertile of UPF consumption had significantly lower risk of anemia (Hb < 110 g/L) compared to those in the lowest tertile (tertile 3 vs. tertile 1; OR 0.56 95% CI 0.39 to 0.82). Similarly, a 10% increase in the consumption of UPF was associated with a 22% lower risk of anemia (95% CI 0.64 to 0.94). Conversely, consumption of UPF was negatively associated with consumption of unprocessed/minimally processed foods. Finally, as the contribution of UPF to total energy intake increased, the intake of added sugars, total fats, and sodium increased, whereas the intake of proteins, fiber, and calcium decreased. Conclusions The consumption of fortified UPF was associated with a lower risk of anemia and a poor diet quality in children from a low-income community in Brazil. The co-existence of normal Hb with poor diet quality suggests the need for a more nuanced assessment of dietary patterns in low-income settings to best address this paradoxical situation as the prevalence of the double burden of disease continues to increase throughout the world. Funding Sources Coordination for the Improvement of Higher Education Personnel (CAPES).

scholarly journals Brief support and personalised feedback on food shopping to encourage saturated fat reduction: the PC-SHOP randomised controlled trial

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Carmen Piernas ◽  
Paul Aveyard ◽  
Nerys Astbury ◽  
Jason Oke ◽  
Melina Tsiountsioura ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Primary Care ◽  
Total Energy ◽  
Energy Intake ◽  
Ldl Cholesterol ◽  
Saturated Fat ◽  
Total Energy Intake ◽  
Grocery Shopping ◽  
Food Shopping ◽  
Personalised Feedback

AbstractReducing saturated fat (SFA) intake can lower low-density lipoprotein (LDL)-cholesterol and thereby cardiovascular disease (CVD) but there are no brief interventions sufficiently scalable to achieve this. The Primary Care Shopping Intervention for Cardiovascular Disease Prevention (PC-SHOP) study developed and tested a behavioural intervention to provide health professional (HP) advice alone or in combination with personalised feedback on food shopping, which was delivered using a bespoke tool that created a nutritional profile of the grocery shopping based on loyalty card data from the UK largest supermarket.Participants with raised LDL-cholesterol were randomly allocated to one of three groups: ‘No Intervention’ (n = 17), ‘Brief Support’ (BS, n = 48), ‘Brief Support plus Shopping Feedback’ (BSSF, n = 48). BS consisted of a 10-minute consultation with a nurse to inform and motivate participants to reduce their SFA intake. The BSSF group received brief support as well as personalised feedback on the SFA content of their grocery shopping including lower SFA swaps. The primary outcome was the between-group difference in the change between baseline and 3 months in SFA intake (% total energy intake) adjusted for baseline SFA intake and GP practice. The trial was powered to detect a reduction in SFA of 3% (SD3).There was no evidence of a difference between the groups. Changes in SFA intake from baseline to follow-up were: -0.7% (SD3.5) in BS, -0.9% (SD3.6) in BSSF and -0.1% (SD3.3) with no intervention. Compared to no intervention, the adjusted difference in SFA intake was -0.33%; 95%CI -2.11, 1.44 with BS and -0.11%; 95%CI -1.92, 1.69 with BSSF. There was no significant difference in total energy intake (BS: -152kcal; 95%CI -513, 209; BSSF: -152kcal; 95%CI -516, 211); body weight (BS: -1.0 kg; 95%CI -2.5, 0.5; BSSF: -0.6 kg 95%CI -2.1, 1.0); or LDL-cholesterol (BS: -0.15mmol/L; 95%CI -0.47, 0.16; BSSF: -0.04mmol/L; 95%CI -0.28, 0.36) compared to no intervention.This trial shows that it is feasible to deliver brief advice in primary care to encourage reductions in SFA intake and we have developed a system to provide personalised advice to encourage healthier choices using supermarket loyalty data. This small trial showed no evidence of large benefits but we are unable to exclude more modest benefits. Even a reduction of 1% in SFA intake when replaced by polyunsaturated fat may reduce CVD incidence by 8%, suggesting that a larger trial to assess whether benefits of this size may occur is now warranted.

scholarly journals Nutritional composition of the diets of South Asian, black African-Caribbean and white European children in the United Kingdom: The Child Heart and Health Study in England (CHASE)

2010 ◽  
Vol 104 (2) ◽  
pp. 276-285 ◽  
Author(s):  
A. S. Donin ◽  
C. M. Nightingale ◽  
C. G. Owen ◽  
A. R. Rudnicka ◽  
M. C. McNamara ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Total Energy ◽  
Energy Intake ◽  
South Asian ◽  
Saturated Fat ◽  
Nutritional Composition ◽  
Total Energy Intake ◽  
Black African ◽  
African Caribbean

In the UK, South Asian adults have increased risks of CHD, type 2 diabetes and central obesity. Black African-Caribbeans, in contrast, have increased risks of type 2 diabetes and general obesity but lower CHD risk. There is growing evidence that these risk differences emerge in early life and that nutritional factors may be important. We have therefore examined the variations in nutritional composition of the diets of South Asian, black African-Caribbean and white European children, using 24 h recalls of dietary intake collected during a cross-sectional survey of cardiovascular health in eighty-five primary schools in London, Birmingham and Leicester. In all, 2209 children aged 9–10 years took part, including 558 of South Asian, 560 of black African-Caribbean and 543 of white European ethnicity. Compared with white Europeans, South Asian children reported higher mean total energy intake; their intakes of total fat, polyunsaturated fat and protein (both absolute and as proportions of total energy intake) were higher and their intakes of carbohydrate as a proportion of energy (particularly sugars), vitamin C and D, Ca and haem Fe were lower. These differences were especially marked for Bangladeshi children. Black African-Caribbean children had lower intakes of total and saturated fat (both absolute and as proportions of energy intake), NSP, vitamin D and Ca. The lower total and saturated fat intakes were particularly marked among black African children. Appreciable ethnic differences exist in the nutritional composition of children's diets, which may contribute to future differences in chronic disease risk.

scholarly journals Estimates of food and macronutrient intake in a random sample of Northern Ireland adolescents

1994 ◽  
Vol 72 (3) ◽  
pp. 343-352 ◽  
Author(s):  
J. J. Strain ◽  
P. J. Robson ◽  
M. B. E. Livingstone ◽  
E. D. Primrose ◽  
J. M. Savage ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Northern Ireland ◽  
Total Energy ◽  
Energy Intake ◽  
Dairy Products ◽  
Meat Products ◽  
Total Energy Intake ◽  
Food Sources ◽  
Macronutrient Intake ◽  
Daily Total

Estimates of food consumption and macronutrient intake were obtained from a randomly selected population sample (2%) of 1015 adolescents aged 12 and 15 years in Northern Ireland during the 1990/1991 school year. Dietary intake was assessed by diet history with photographic album to estimate portion size. Reported median energy intakes were 11.0 and 13.1 MJ/d for boys aged 12 and 15 years respectively and 9.2 and 9.1 MJ/d for girls of these ages. Protein, carbohydrate and total sugars intakes as a percentage of total energy varied little between the age and sex groups and were approximately 11, 49 and 20 % respectively of daily total energy intakes. Median dietary fibre intakes were approximately 20 and 24 g/d for boys aged 12 and 15 years respectively and 18 and 19 g/d for girls of these ages. Major food sources of energy (as a percentage of total energy intakes) were bread and cereals (15–18 %), cakes and biscuits (12–14%), chips and crisps (13–14%), dairy products (9-ll%), meat and meat products (9–11%) and confectionery (9%). Fruit and vegetable intakes were low at about 2.5% and 1.5% respectively of total energy intakes. Median fat intakes were high at 39% of total daily energy intakes. Major food sources of fat as a percentage of total fat intakes were from the food groupings: chips and crisps (16–19%), meat and meat products (14–17%), fats and oils (14–16%), cakes and biscuits (13–16%) and dairy products (12–15%). Median intakes of saturated fatty acids were also high at approximately 15% of daily total energy intake while intakes of monounsaturated fatty acids averaged 12% of daily total energy intake. Median polyunsaturated fatty acid (PUFA) intakes were low, comprising 5.2 and 5.5 % of daily total energy intake for boys aged 12 and 15 years respectively and were lower than the PUFA intakes (59 and 6.3% of daily total energy intake) for girls of these ages. About 1.3 % for boys and 1.4 % for girls of daily total energy intake was in the form of n-3 PUFA. Ca and Mg intakes were adequate for both sexes. Based on these results, some concern about the dietary habits and related health consequences in Northern Ireland adolescents appears justified.

scholarly journals Log-ratio transformations for dietary compositions: numerical and conceptual questions

2021 ◽  
Vol 10 ◽  
Author(s):  
Maria Léa Corrêa Leite
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Regression Models ◽  
Compositional Data ◽  
Total Energy Intake ◽  
Italian Population ◽  
Substitution Models ◽  
The Impact ◽  
Log Ratio ◽  
Dietary Data

Abstract When evaluating the impact of macronutrient intakes on health outcomes, researchers in nutritional epidemiology are mostly interested in two types of information: the relative importance of the individual macronutrients and the absolute effect of total energy intake. However, the usual substitution models do not allow these separate effects to be disentangled. Dietary data are typical examples of compositional data, which convey relative information and are, therefore, meaningfully expressed in the form of ratios. Various formulations of log-ratios have been proposed as a means of analysing compositional data, and their interrelationships when they are used as predictors in regression models have been previously reported. This note describes the application of distinct log-ratio transformations to the composition of dietary macronutrients and discusses the interpretative implications of using them as explanatory variables in regression models together with a term for the total composition (total energy intake). It also provides examples that consider serum glucose levels as the health outcome and are based on data coming from an Italian population-based study. The log-ratio transformation of dietary data has both numerical and conceptual advantages, and overcomes the drawbacks of traditional substitution models.

scholarly journals US dietary guidelines: is saturated fat a nutrient of concern?

2018 ◽  
Vol 53 (22) ◽  
pp. 1393-1396 ◽  
Author(s):  
Zoe Harcombe
Keyword(s):  
Public Health ◽  
Total Energy ◽  
Energy Intake ◽  
Saturated Fat ◽  
Total Energy Intake ◽  
Dietary Guidelines ◽  
Dietary Advice ◽  
Fat Consumption ◽  
Dietary Guidelines For Americans ◽  
Total Fat

US public health dietary advice was announced by the Select Committee on Nutrition and Human needs in 1977 and was followed by UK public health dietary advice issued by the National Advisory Committee on Nutritional Education in 1983. Dietary recommendations in both cases focused on reducing dietary fat intake; specifically to (i) reduce overall fat consumption to 30% of total energy intake and (ii) reduce saturated fat consumption to 10% of total energy intake. The recommendations were an attempt to address the incidence of coronary heart disease. These guidelines have been reiterated in the Dietary Guidelines for Americans since the first edition in 1980. The most recent edition has positioned the total fat guideline with the use of ‘Acceptable Macronutrient Distribution Ranges’. The range given for total fat is 20%–35% and the AMDR for saturated fat is given as <10%—both as a percentage of daily calorie intake. In February 2018, the Center for Nutrition Policy and Promotion announced ‘The US Departments of Agriculture and Health and Human Services currently are asking for public comments on topics and supporting scientific questions to inform our development of the 2020–2025 Dietary Guidelines for Americans’. Public comments were invited on a number of nutritional topics. The question asked about saturated fats was: ‘What is the relationship between saturated fat consumption (types and amounts) during adulthood and risk of cardiovascular disease?’ This article is a response to that question.

scholarly journals Energy intake, energy dispersion and body mass index interaction in adolescents

2016 ◽  
Vol 13 (2) ◽  
pp. 2793 ◽  
Author(s):  
Saime Kucukkomurler ◽  
Omer Istik
Keyword(s):  
Body Mass Index ◽  
Total Energy ◽  
Energy Intake ◽  
Body Mass ◽  
Total Energy Intake ◽  
Dietary Energy ◽  
Fat Percentage ◽  
Energy Dispersion ◽  
Post Hoc ◽  
Daily Total

The aim of this study was to investigate dietary energy intake and energy dispersion among adolescents and to examine its relationship with Body Mass Index (BMI). Adolescents recalled food intake in the past 24 hours and energy intakes/expenditure were calculated. For the relation between BMI and energy intake percentage, ANOVA and Tukey post-hoc test were used. This research was performed in 2010 in Istanbul, Turkey. The study was carried out with 265 adolescents, 63.4% girls, aged between 12-15. Girls and boys have BMI means of 18.19±2.69 and 20.42±4.85 respectively. With respect to BMI, body fat percentage (BFP) was significantly different for both girls and boys (p<0.001). As BMI increased, so did BFP while body fluid rate (BFR) decreased. While the relation between daily total energy intake and BMI for boys was not statistically significant, it was significant for girls (p<0.01). The relation of energy percentage from fat and BMI for both boys and girls was significant (boys p>0.5, girls p<0.01). While the relation of energy rate from carbohydrates and BMI was not significant for girls, it was significant for boys (p<0.001). In the current study, even though the total energy intake of adolescents was not above the requirements of their age group, the energy intake from fats was mostly higher than the rates recommended. A high percentage of energy intake from fats over a prolonged period may result in obesity.

scholarly journals Dietary and Weight Loss Benefits of a National Sugar-sweetened Beverage Health Warning Policy: A Microsimulation Analysis (OR28-02-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Anna Grummon ◽  
Natalie Smith ◽  
Leah Frerichs ◽  
Lindsey Smith Taillie ◽  
Noel Brewer
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
The United States ◽  
Total Energy Intake ◽  
Dietary Behaviors ◽  
Model Parameters ◽  
Health Warnings ◽  
Health Warning ◽  
The Impact ◽  
Over Time

Abstract Objectives Overconsumption of sugar-sweetened beverages (SSBs) is a major contributor to obesity in the United States. To reduce SSB consumption, five U.S. states have proposed requiring front-of-package health warnings on SSBs. Randomized trials indicate that SSB health warnings reduce SSB purchases, but uncertainty remains regarding how these reductions translate into population-level dietary and health outcomes. We aimed to quantify the effects of a national SSB health warning policy on U.S. adults’ dietary behaviors and weight outcomes. Methods We developed and validated a Monte Carlo microsimulation model of dietary behaviors and bodyweight using dietary and anthropometric data from the National Health and Nutrition Examination Survey. Using estimates from existing literature, we simulated how an SSB health warning policy would affect SSB intake and, in turn, how changes in SSB intake would affect total energy intake. We then incorporated a validated model of weight change to translate changes in total energy intake into changes in weight over time. We used the model to simulate the impact of a national SSB health warning policy on SSB intake, total energy intake, body mass, and obesity among U.S. adults over a five-year period. Uncertainty analyses simulated scenarios when varying assumptions about three key model parameters: (1) the extent to which warnings would reduce SSB intake, (2) the degree of caloric compensation following a reduction in SSB intake, and (3) the extent to which warnings’ impact would increase or decrease over time. Results Implementing a national SSB health warning policy would reduce average SSB intake by 26.2 calories/day (95% uncertainty interval [UI] = −32.8, −19.4) and total energy intake by 32.4 calories/day (95% UI = −37.9, −26.7). These dietary changes would reduce average BMI by 0.6 kg/m2 (95% UI = −0.7, −0.5) and obesity prevalence by 2.1 percentage points (95% UI = −3.2pp, −0.9pp). BMI reductions would be largest among adults who are Black or Hispanic, have low educational attainment, or have low income. Obesity reductions persist when assuming warning efficacy decreases over time and when using conservative estimates of warning impact or caloric compensation. Conclusions Implementing a national SSB health warning policy could reduce SSB consumption, average BMI, and obesity among U.S. adults. Funding Sources National Institutes of Health. Supporting Tables, Images and/or Graphs

scholarly journals Accuracy of Nutrient Calculations Using the Consumer-Focused Online App MyFitnessPal: Validation Study (Preprint)

2020 ◽  
Author(s):  
Charlotte Evenepoel ◽  
Egbert Clevers ◽  
Lise Deroover ◽  
Wendy Van Loo ◽  
Christophe Matthys ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Nutrient Intake ◽  
Food Composition ◽  
Total Energy Intake ◽  
Outcome Variable ◽  
Dietary Analysis ◽  
Limit Values ◽  
T1 And T2 ◽  
The Impact

BACKGROUND Digital food registration via online platforms that are coupled to large food databases obviates the need for manual processing of dietary data. The reliability of such platforms depends on the quality of the associated food database. OBJECTIVE In this study, we validate the database of MyFitnessPal versus the Belgian food composition database, Nubel. METHODS After carefully given instructions, 50 participants used MyFitnessPal to each complete a 4-day dietary record 2 times (T1 and T2), with 1 month in between T1 and T2. Nutrient intake values were calculated either manually, using the food composition database Nubel, or automatically, using the database coupled to MyFitnessPal. First, nutrient values from T1 were used as a training set to develop an algorithm that defined upper limit values for energy intake, carbohydrates, fat, protein, fiber, sugar, cholesterol, and sodium. These limits were applied to the MyFitnessPal dataset extracted at T2 to remove extremely high and likely erroneous values. Original and cleaned T2 values were correlated with the Nubel calculated values. Bias was estimated using Bland-Altman plots. Finally, we simulated the impact of using MyFitnessPal for nutrient analysis instead of Nubel on the power of a study design that correlates nutrient intake to a chosen outcome variable. RESULTS Per food portion, the following upper limits were defined: 1500 kilocalories for total energy intake, 95 grams (g) for carbohydrates, 92 g for fat, 52 g for protein, 22 g for fiber, 70 g for sugar, 600 mg for cholesterol, and 3600 mg for sodium. Cleaning the dataset extracted at T2 resulted in a 2.8% rejection. Cleaned MyFitnessPal values demonstrated strong correlations with Nubel for energy intake (r=0.96), carbohydrates (r=0.90), fat (r=0.90), protein (r=0.90), fiber (r=0.80), and sugar (r=0.79), but weak correlations for cholesterol (ρ=0.51) and sodium (ρ=0.53); all <i>P</i> values were ≤.001. No bias was found between both methods, except for a fixed bias for fiber and a proportional bias for cholesterol. A 5-10% power loss should be taken into account when correlating energy intake and macronutrients obtained with MyFitnessPal to an outcome variable, compared to Nubel. CONCLUSIONS Dietary analysis with MyFitnessPal is accurate and efficient for total energy intake, macronutrients, sugar, and fiber, but not for cholesterol and sodium.

Sign in / Sign up

Export Citation Format

Share Document