Statistical Evaluation of Total Energy Intake Based on the Number of Food Portions and Body Weight

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Rousset S ◽  
◽  
Médard S ◽  
Fleury G ◽  
Fardet A ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Test Sample ◽  
Normal Weight ◽  
Total Energy Intake ◽  
Validation Dataset ◽  
Linear Regression Models ◽  
The Mean

The evaluation of food intake based on various assessment methods is critical and underreporting is frequent. The aim of the study was to develop an indirect statistical method of the total energy intake estimation based on gender, weight and the number of portions. Energy intake prediction was developed and evaluated for validity using energy expenditure measurements given by the WellBeNet app. A total of 190 volunteers with various BMIs were recruited and assigned either in the train or the test sample. The mean energy provided by a portion was evaluated by linear regression models from the train sample. The absolute values of the error between the energy intake estimation and the energy expenditure measurement were calculated for each volunteer, by subgroup and for the whole group. The performance of the models was determined using the validation dataset. As the number of portions is the only variable used in the model, the error was 30.7% and 26.5% in the train and test sample. After adding body weight in the model, the error in absolute value decreased to 8.8% and 10.8% for the normal-weight women and men, and 11.7% and 12.8% for the overweight female and male volunteers, respectively. The findings of this study indicate that a statistical approach and knowledge of the usual number of portions and body weight is effective and sufficient to obtain a precise evaluation of energy intake (about 10% of error) after a simple and brief enquiry.

scholarly journals Energy Intake Evaluation by a Learning Approach Using the Number of Food Portions and Body Weight

Foods ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2273
Author(s):  
Sylvie Rousset ◽  
Sébastien Médard ◽  
Gérard Fleury ◽  
Anthony Fardet ◽  
Olivier Goutet ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Test Group ◽  
Training Group ◽  
Normal Weight ◽  
Linear Regression Models ◽  
Test Dataset ◽  
Overweight Women ◽  
Accurate Quantification

An accurate quantification of energy intake is critical; however, under-reporting is frequent. The aim of this study was to develop an indirect statistical method of the total energy intake estimation based on gender, weight, and the number of portions. The energy intake prediction was developed and evaluated for validity using energy expenditure. Subjects with various BMIs were recruited and assigned either in the training or the test group. The mean energy provided by a portion was evaluated by linear regression models from the training group. The absolute values of the error between the energy intake estimation and the energy expenditure measurement were calculated for each subject, by subgroup and for the whole group. The performance of the models was determined using the test dataset. As the number of portions is the only variable used in the model, the error was 26.5%. After adding body weight in the model, the error decreased to 8.8% and 10.8% for the normal-weight women and men, respectively, and 11.7% and 12.8% for the overweight women and men, respectively. The results prove that a statistical approach and knowledge of the usual number of portions and body weight is effective and sufficient to obtain a precise evaluation of energy intake after a simple and brief enquiry.

scholarly journals Results from a dietary survey in an Indian T2DM population: a STARCH study

BMJ Open ◽  
2014 ◽  
Vol 4 (10) ◽  
pp. e005138 ◽  
Author(s):  
Shashank R Joshi ◽  
Anil Bhansali ◽  
Sarita Bajaj ◽  
Subodh S Banzal ◽  
Mala Dharmalingam ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Epidemiological Survey ◽  
Total Energy Intake ◽  
Calorie Intake ◽  
Clinical Trial Registry ◽  
Cross Sectional ◽  
Diet Plan ◽  
Registration Number ◽  
The Mean

ObjectiveTo assess the dietary total and complex carbohydrate (CHO) contents in type-2 diabetes mellitus (T2DM) participants in India.SettingWe enrolled 796 participants in this cross-sectional, single-visit, multicentre, two-arm, single-country survey. Participants were enrolled from 10 specialty endocrinology/dialectology centres from five regions of India.ParticipantsA total of 796 participants (Asian) were enrolled in this study (385, T2DM and 409, non-T2DM). Key inclusion criteria—male or female ≥18 years, diagnosed with T2DM ≥12 months (T2DM), and not on any diet plan (non-T2DM).Study outcomePrimary outcome was to find out the percentage of total energy intake as simple and complex CHO from total CHO. Secondary outcomes were to find the differences in percentage of total energy intake as simple CHO, complex CHO, proteins and fats between T2DM and non-T2DM groups. The percentage of T2DM participants adhering to diet plan and showing glycaemic controls were also examined.ResultsThe mean (SD) of total calorie intake per day (Kcal) was 1547 (610, 95% CI 1486 to 1608) and 2132 (1892, 95% CI 1948 to 2316), respectively, for T2DM and non-T2DM groups. In the T2DM group (n=385), the mean (SD) percentage of total energy intake as total CHO, complex CHO and simple CHO was 64.1±8.3 (95% CI 63.3 to 64.9), 57.0±11.0 (95% CI 55.9 to 58.1) and 7.1±10.8 (95% CI 6.0 to 8.2), respectively. The mean (SD) percentage of complex CHO intake from total CHO was 89.5±15.3 (95% CI 88.0 to 91.1). The mean (SD) total protein/fat intake per day (g) was 57.1 (74.0)/37.2 (18.6) and 57.9 (27.2)/55.3 (98.2) in T2DM and non-T2DM groups, respectively.ConclusionsOur study shows that CHO constitutes 64.1% of total energy from diet in T2DM participants, higher than that recommended in India. However, our findings need to be confirmed in a larger epidemiological survey.Trial registration numberNCT01450592 & Clinical Trial Registry of India: CTRI/2012/02/002398.

scholarly journals Contribution of foods consumed away from home to energy intake in Brazilian urban areas: the 2008–9 Nationwide Dietary Survey

2012 ◽  
Vol 109 (7) ◽  
pp. 1276-1283 ◽  
Author(s):  
Ilana Nogueira Bezerra ◽  
Amanda de Moura Souza ◽  
Rosangela Alves Pereira ◽  
Rosely Sichieri
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Food Consumption ◽  
Urban Areas ◽  
Total Energy Intake ◽  
Alcoholic Beverages ◽  
Food Groups ◽  
Dietary Survey ◽  
Home Food ◽  
The Mean

The objectives of the present study were to estimate the dietary contribution of away-from-home food consumption, to describe the contribution of away-from-home foods to energy intake, and to investigate the association between eating away from home and total energy intake in Brazilian urban areas. In the first Brazilian Nationwide Dietary Survey, conducted in 2008–9, food records were collected from 25 753 individuals aged 10 years or older, living in urban areas of Brazil. Foods were grouped into thirty-three food groups, and the mean energy intake provided by away-from-home food consumption was estimated. Linear regression models were used to evaluate the association between away-from-home food consumption and total energy intake. All analyses considered the sample design effect. Of the total population, 43 % consumed at least one food item away from home. The mean energy intake from foods consumed away from home was 1408 kJ (337 kcal), averaging 18 % of total energy intake. Eating away from home was associated with increased total energy intake, except for men in the highest income level. The highest percentage of away-from-home energy sources was for food with a high content of energy, such as alcoholic beverages (59 %), baked and deep-fried snacks (54 %), pizza (42 %), soft drinks (40 %), sandwiches (40 %), and sweets and desserts (30 %). The consumption of foods away from home was related to a greater energy intake. The characterisation of away-from-home food habits is necessary in order to properly design strategies to promote healthy food consumption in the away-from-home environment.

Genetic and phenotypic parameter estimates between production, feed intake, feed efficiency, body weight and linear type traits in first lactation Holsteins

1999 ◽  
Vol 79 (4) ◽  
pp. 425-431 ◽  
Author(s):  
B. W. Kennedy ◽  
J. C. M. Dekkers ◽  
R. K. Moore ◽  
L. Jairath
Keyword(s):  
Body Weight ◽  
Body Size ◽  
Total Energy ◽  
Energy Intake ◽  
Milk Yield ◽  
Feed Intake ◽  
Feed Efficiency ◽  
Genetic Correlations ◽  
Total Energy Intake ◽  
Type Traits

Production and feed intake data on 36 115 first lactation Holstein cows obtained from Quebec Dairy Herd Analysis Service were combined with conformation data from the Holstein Association of Canada to estimate genetic correlations among production, energy intake, and conformation traits. Traits considered were 305-d milk yield, 305-d grain energy and total energy intake, feed efficiency (fat corrected milk yield/total energy intake), body weight at calving, capacity, size, stature, rump width and final score. Genetic and phenotypic parameters were estimated using Restricted Maximum Likelihood based on two-trait animal mixed model analyses. The model contained fixed effects of herd-year, season of calving, age of calving, sire group and a random animal genetic effect. Estimates of heritability were within the published range for all traits. Of the conformation traits examined, capacity, size and stature had the highest correlations with body weight, with phenotypic correlations between 0.36 and 0.43, and genetic correlations between 0.61 and 0.79. Feed efficiency was negatively correlated to all body size measures, both phenotypically (−0.01 to −0.29) and genetically (−0.31 to −0.53), but most significantly with body weight, capacity, size, and stature. Fat-corrected milk yield showed negligible phenotypic and low to moderately negative genetic (−0.07 to −0.29) correlations with body weight and related type traits. Total energy intake was positively related to all measures of body size, most notably body weight, while grain energy intake had moderately negative genetic correlations (−0.20 to −0.40) with the same body size traits. Because of their detrimental relationships with feed efficiency, negative selection emphasis should be placed on body weight and the related type traits capacity, size and stature. Capacity, size and stature are of moderate utility when selecting indirectly for body weight, total energy intake and feed efficiency. Key words: Dairy cattle, genetics, production, conformation, feed efficiency

Total energy expenditure in 4- to 6-yr-old children

1993 ◽  
Vol 264 (5) ◽  
pp. E706-E711 ◽  
Author(s):  
M. I. Goran ◽  
W. H. Carpenter ◽  
E. T. Poehlman
Keyword(s):  
Heart Rate ◽  
Body Weight ◽  
Energy Expenditure ◽  
Young Children ◽  
Total Energy ◽  
Energy Intake ◽  
Resting Energy Expenditure ◽  
Total Energy Expenditure ◽  
Fat Free Mass ◽  
Interindividual Variation

There is a sparsity of data on energy expenditure in young children. We therefore examined the components of daily energy expenditure in a group of 30 children (16 boys, 14 girls; age 4–6 yr) characterized for body weight, height, heart rate, and body composition from bioelectrical resistance. Total energy expenditure (TEE) was measured over 14 days under free living conditions by doubly labeled water, resting energy expenditure (REE) from indirect calorimetry, and activity energy expenditure was estimated from the difference between TEE and REE. Mean TEE was 1,379 +/- 290 kcal/day, which was 475 +/- 202 kcal/day lower than energy intake recommendations for this age group. Activity-related energy expenditure was estimated to be 267 +/- 203 kcal/day. TEE was most significantly related to fat-free mass (FFM; r = 0.86; P < 0.001), body weight (r = 0.83; P < 0.001), and REE (r = 0.80; P < 0.001). When TEE was adjusted for FFM, a significant correlation with heart rate was observed (partial r = 0.54; P = 0.002). Collectively, 86% of interindividual variation in TEE was accounted for by FFM, heart rate, and REE. We conclude that, in young 4- to 6-yr-old children, 1) TEE is approximately 25% lower than current recommendations for energy intake and 2) combined measurement of FFM, heart rate, and REE explain 86% of interindividual variation in TEE, thus providing a possible alternative method to estimate TEE in young children.

scholarly journals Association between Low Protein Intake and Mortality in Patients with Type 2 Diabetes

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1629 ◽  
Author(s):  
Takuya Yamaoka ◽  
Atsushi Araki ◽  
Yoshiaki Tamura ◽  
Shiro Tanaka ◽  
Kazuya Fujihara ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Weight ◽  
Total Energy ◽  
Energy Intake ◽  
Protein Intake ◽  
Total Energy Intake ◽  
Diabetic Patients ◽  
Low Protein ◽  
Prospective Longitudinal

The aim of this study was to investigate the association between protein intake and mortality risk in patients with type 2 diabetes. We analyzed a pooled data of 2494 diabetic patients from two prospective longitudinal studies. Nutritional intake was assessed using a Food Frequency Questionnaire at baseline. Protein intake per body weight (kg) per day was categorized into quartile groups. Adjusted hazard ratios (HRs) and 95% confidence interval (CI) were calculated using Cox regression analysis. During the six-year follow-up, there were 152 incidents of all-cause mortality. The HR for mortality in the lowest quartile of protein intake per body weight compared with the highest quartile was 2.26 (95% CI: 1.34–3.82, p = 0.002) after adjustment for covariates. Subgroup analyses revealed significant associations between low protein intake and mortality in patients aged over 75 years or under 65 years. After further adjustment of the total energy intake, a significant association between protein intake and mortality remained in patients aged ≥ 75 years, whereas the association was attenuated in those aged < 65 years. Our results suggest that adequate protein intake is necessary in older diabetic patients over 75 years, whereas with diabetes, whereas whole optimal total energy intake is required in younger patients with type 2 diabetes.

scholarly journals Comparison Between Total Energy Intake and Screen Time Among U.S Children Based on NHANES 2015–2016 Data

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 263-263
Author(s):  
Isabella Penso ◽  
Alejandra Luna ◽  
Adriana Campa ◽  
Cristina Palacios
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Screen Time ◽  
Age Groups ◽  
Caloric Intake ◽  
The United States ◽  
Overweight And Obesity ◽  
Total Energy Intake ◽  
Older Children

Abstract Objectives Childhood obesity is a multifactorial condition related to energy intake and decreased energy expenditure. Increased screen time as television, computers, tablets, and video games may be contributing to the rates of overweight and obesity in the United States. The American Academy of Pediatrics and the Centers of Disease Control and Prevention recommend that children aged 3–5 years should spend up to 1 hour as screen time and older children up to 2 hours per day. Exceeding screen time recommendations may be related to overweight and obesity due to an increased consumption of sugar, fats, and highly advertised food products and to a lower energy expenditure. Our objectives were to compare total energy intake between children that comply or not with recommendations for screen time. Methods This was an analysis of data from NHANES 2015–2016. Responses on the average of hours spent daily as screen time from television (TV), video watching, and computer use were analyzed and compared with the mean energy intake obtained from two 24-h dietary recalls. The sample was divided into two age groups following the recommendations for screen time: 3–5 y and 6–14 y. Data were analyzed by one-way analysis of variance (ANOVA), with Bonferroni post-hoc stratified by gender only for 6–14 y. Results A total of 1936 participants aged 3–14 y had complete data and were included in the analysis. Reported mean screen time was 5.48 ± 3.91 h in children 3–5 y and 4.98 ± 3.48 h in 6–14 y. Most did not meet the recommendations for screen time (87.6% in 3–5 y and 71.2% in 6–14 y). Girls aged 6–14 y who met the recommended screen time (≤2 h) had significantly lower mean energy intake (1733 ± 534.18 kcal/d) compared to those that spent between 4–8 h (1908 ± 809 kcal/d; P &lt; 0.041). No significant differences in caloric intake were found in energy intake among boys aged 6–14 y or among children aged 3–5 y. Conclusions Most of the children did not meet the recommendations for screen time. In girls aged 6–14 years, the length of screen time was associated with total calories consumed. This association might be explained by the high frequency of high calorie-dense foods advertised on television and the internet, which may influence food choices or by less energy expenditure with the long hours of sedentary viewing. This needs to be confirmed in future studies. Funding Sources Internal funds from Florida International University.

scholarly journals Total energy expenditure and energy intake in the pre-school child: a comparison

1994 ◽  
Vol 72 (1) ◽  
pp. 13-20 ◽  
Author(s):  
Peter S. W. Davies ◽  
W. A. Coward ◽  
J. Gregory ◽  
A. White ◽  
A. Mills
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Population Level ◽  
Total Energy Expenditure ◽  
Relative Bias ◽  
Healthy Children ◽  
Older Children ◽  
Doubly Labelled Water ◽  
The Mean

In a cohort (n 81) of healthy children aged 1.5–4.5 years, measurements of energy intake and energy expenditure were compared. Energy intake was calculated following a 4 d weighed record completed by the mother or guardian of the child. Total energy expenditure was measured using the doubly-labelled water technique. Mean energy intake and expenditure in the cohort were 4773 kJ/d and 4928 kJ/d respectively. The mean relative bias between the techniques was 154 kJ/d. In the older children (3.5–4.5 years) the mean relative bias was only 37 kJ/d. At the population level the measurements of energy intake and energy expenditure were extremely close, and the study has provided sufficient confidence in weighed intake methodology for it to be used in a major nationwide study of dietary intake and nutritional status of children aged 1.5–4.5 years.

scholarly journals Increased energy intake entirely accounts for increase in body weight in women but not in men in the UK between 1986 and 2000

2010 ◽  
Vol 105 (9) ◽  
pp. 1399-1404 ◽  
Author(s):  
Peter Scarborough ◽  
Melanie R. Burg ◽  
Charlie Foster ◽  
Boyd Swinburn ◽  
Gary Sacks ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Total Energy ◽  
Energy Intake ◽  
Credible Interval ◽  
Total Energy Intake ◽  
Activity Levels ◽  
Time Points ◽  
Physical Activity Levels ◽  
The Uk

There is debate over the casual factors for the rise in body weight in the UK. The present study investigates whether increases between 1986 and 2000 for men and women were a result of increases in mean total energy intake, decreases in mean physical activity levels or both. Estimates of mean total energy intake in 1986 and 2000 were derived from food availability data adjusted for wastage. Estimates of mean body weight for adults aged 19–64 years were derived from nationally representative dietary surveys conducted in 1986–7 and 2000–1. Predicted body weight in 1986 and 2000 was calculated using an equation relating body weight to total energy intake and sex. Differences in predicted mean body weight and actual mean body weight between the two time points were compared. Monte Carlo simulation methods were used to assess the stability of the estimates. The predicted increase in mean body weight due to changes in total energy intake between 1986 and 2000 was 4·7 (95 % credible interval 4·2, 5·3) kg for men and 6·4 (95 % credible interval 5·9, 7·1) kg for women. Actual mean body weight increased by 7·7 kg for men and 5·4 kg for women between the two time points. We conclude that increases in mean total energy intake are sufficient to explain the increase in mean body weight for women between 1986 and 2000, but for men, the increase in mean body weight is likely to be due to a combination of increased total energy intake and reduced physical activity levels.

scholarly journals 331 Dietary methionine restriction: an approach to treating obesity that does not involve food restriction

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 66-66
Author(s):  
Thomas W Gettys
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Food Restriction ◽  
Physiological Responses ◽  
Metabolic Health ◽  
Fat Deposition ◽  
Total Energy Intake ◽  
Methionine Restriction

Abstract Dietary methionine restriction (MR) produces an integrated series of metabolic and physiological responses that develop quickly after introducing the diet. Collectively, these responses to the diet improve many biomarkers of metabolic health. Two prominent physiological responses are increases in energy intake and expenditure, with the larger effect on energy expenditure slowing ongoing fat deposition by increasing the proportion of total energy intake required for maintenance of existing tissue. A significant remaining obstacle in implementing dietary MR in a translational context will be to develop methionine-restricted diets that are palatable to higher metazoans.

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