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.

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.

Underfeeding and body weight regulation in normal-weight young men

1992 ◽  
Vol 263 (2) ◽  
pp. R250-R257 ◽  
Author(s):  
M. B. Heyman ◽  
V. R. Young ◽  
P. Fuss ◽  
R. Tsay ◽  
L. Joseph ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Dietary Restriction ◽  
Weight Maintenance ◽  
Young Men ◽  
Normal Weight ◽  
Energy Deficit ◽  
Energy Regulation ◽  
Body Energy

The mechanisms of energy regulation invoked by moderate dietary restriction were investigated in seven healthy young men of normal body weight leading unrestricted lives. Following a baseline period of weight maintenance, subjects were underfed by 806 +/- 162 (mean +/- SE) kcal/day for 21 days. Changes in total energy expenditure (TEE) and resting energy expenditure (REE) and subsequent voluntary nutrient intakes were measured. The REE, averaged for fasting and fed states, decreased during underfeeding by 100 +/- 29 kcal/day (P less than 0.01). TEE decreased nonsignificantly by 296 +/- 170 kcal/day, equivalent to an average of 37% of the decrease in energy intake. Body energy stores were estimated to decrease by 510 +/- 172 kcal/day (P less than 0.03), thus compensating for 63% of the dietary energy deficit on average. Voluntary energy intake following dietary restriction increased above the initial amount required for body weight maintenance, was proportional to the weight loss during underfeeding (P less than 0.03), and was associated with a rapid regain of weight lost during underfeeding. These results indicate that energy balance is regulated by adaptive variations in both energy intake and energy expenditure in normal-weight young men leading unrestricted lives but do not support the hypothesis that energy-wasting mechanisms contribute substantially to body energy regulation.

scholarly journals Severe protein deficiency induces hepatic expression and systemic level of FGF21 but inhibits its hypothalamic expression in growing rats

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Joanna Moro ◽  
Catherine Chaumontet ◽  
Patrick C. Even ◽  
Anne Blais ◽  
Julien Piedcoq ◽  
...  
Keyword(s):  
Body Weight ◽  
Food Intake ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Dietary Protein ◽  
Protein Deficiency ◽  
Protein Diet ◽  
Growing Rats ◽  
Low Protein ◽  
Protein Diets

AbstractTo study, in young growing rats, the consequences of different levels of dietary protein deficiency on food intake, body weight, body composition, and energy balance and to assess the role of FGF21 in the adaptation to a low protein diet. Thirty-six weanling rats were fed diets containing 3%, 5%, 8%, 12%, 15% and 20% protein for three weeks. Body weight, food intake, energy expenditure and metabolic parameters were followed throughout this period. The very low-protein diets (3% and 5%) induced a large decrease in body weight gain and an increase in energy intake relative to body mass. No gain in fat mass was observed because energy expenditure increased in proportion to energy intake. As expected, Fgf21 expression in the liver and plasma FGF21 increased with low-protein diets, but Fgf21 expression in the hypothalamus decreased. Under low protein diets (3% and 5%), the increase in liver Fgf21 and the decrease of Fgf21 in the hypothalamus induced an increase in energy expenditure and the decrease in the satiety signal responsible for hyperphagia. Our results highlight that when dietary protein decreases below 8%, the liver detects the low protein diet and responds by activating synthesis and secretion of FGF21 in order to activate an endocrine signal that induces metabolic adaptation. The hypothalamus, in comparison, responds to protein deficiency when dietary protein decreases below 5%.

Brown adipose tissue activation in a rat model of Parkinson’s disease

2017 ◽  
Vol 313 (6) ◽  
pp. E731-E736 ◽  
Author(s):  
Wenjuan Wang ◽  
Xiangzhi Meng ◽  
Chun Yang ◽  
Dongliang Fang ◽  
Xuemeng Wang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Weight Loss ◽  
Body Weight ◽  
Adipose Tissue ◽  
Energy Expenditure ◽  
Brown Adipose Tissue ◽  
Energy Intake ◽  
Rat Model ◽  
Sympathetic Denervation ◽  
Brown Adipose

Loss of body weight and fat mass is one of the nonmotor symptoms of Parkinson’s disease (PD). Weight loss is due primarily to reduced energy intake and increased energy expenditure. Whereas inadequate energy intake in PD patients is caused mainly by appetite loss and impaired gastrointestinal absorption, the underlying mechanisms for increased energy expenditure remain largely unknown. Brown adipose tissue (BAT), a key thermogenic tissue in humans and other mammals, plays an important role in thermoregulation and energy metabolism; however, it has not been tested whether BAT is involved in the negative energy balance in PD. Here, using the 6-hydroxydopamine (6-OHDA) rat model of PD, we found that the activity of sympathetic nerve (SN), the expression of Ucp1 in BAT, and thermogenesis were increased in PD rats. BAT sympathetic denervation blocked sympathetic activity and decreased UCP1 expression in BAT and attenuated the loss of body weight in PD rats. Interestingly, sympathetic denervation of BAT was associated with decreased sympathetic tone and lipolysis in retroperitoneal and epididymal white adipose tissue. Our data suggeste that BAT-mediated thermogenesis may contribute to weight loss in PD.

Abstract P022: Determinants of Energy Balance: Differences Related to Body Weight and Body Composition

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Gregory A Hand ◽  
Robin P Shook ◽  
Jason R Jaggers ◽  
Amanda Paluch ◽  
Vivek K Prasad ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Positive Association ◽  
Linear Modeling ◽  
Obesity Epidemic ◽  
And Storage ◽  
Lean Group

Conversion, utilization and storage of energy in the regulation of energy balance is poorly understood. These misconceptions arise from confusion related to energy balance and its impact on body weight and composition, and can bias the interpretation of findings that are important for the development of policies addressing the obesity epidemic. PURPOSE: Our purpose was to examine the regulation of interactions between total daily energy intake (TDEI) and energy expenditure (TDEE) in healthy adults. METHODS: Adults not limited by gender, race or ethnicity (n=430; aged 21 to 40; BMI of 20 to 35) participated in a battery of physiological, anthropomorphic, behavioral and psychological measurements that are associated with energy balance regulation. The primary components of energy balance regulation (TDEI and TDEE) were measured by 3 random 24-hour dietary recalls and SenseWear accelerometry, respectively. Body composition was determined by dual x-ray absorptiometry (DXA). Absolute and relative resting metabolic rates (aRMR and rRMR) were determined through hooded indirect calorimetry. General linear modeling was used to examine the relationships of weight and body fatness with TDEI and macronutrient composition as well as the largest components of TDEE including aRMR, rRMR and physical activity energy expenditure (PAEE). In addition, data were compared between participants with a healthy body fat % (below 25; n=123) and obese (at or above 30%; n=241). RESULTS: All results were adjusted for age, gender and race. TDEE was positively associated (r=.47, p<.001) with TDEI. There was a positive association between aRMR (L/min) and weight (r=.743, p<.001). By contrast, rRMR (ml/kg/min) was inversely correlated with body weight (r= -.38; p<.001). TDEI was significantly higher in the lean group (2465±66 to 1878±42, p<.001) with no measureable differences in macronutrient percentages. The lean group had a higher TDEE and PAEE as compared to the obese group. CONCLUSIONS: There was a robust matching of TDEI and TDEE across weight and body composition ranges. Heavy people burned more calories than lighter people although the lighter individuals had a higher rRMR. The leaner group had a higher TDEI, reflecting a potential regulation based on the greater TDEE in this group. Further, the increased TDEE could be explained by the higher PAEE (approximately 500 kcal) in leaner individuals. These findings emphasize that energy expenditure is related to mass rather than body composition. The regulation of energy intake and body composition is multifactorial, with PAEE a significant determinant for energy storage. This study was funded through an unrestricted grant from The Coca-Cola Company.

Effect of Acute Exercise and Cycling Desk on Energy Intake and Appetite Response to Mental Work: The CORTEX Study

2021 ◽  
Vol 18 (4) ◽  
pp. 433-439
Author(s):  
David Thivel ◽  
Pauline Genin ◽  
Alicia Fillon ◽  
Marwa Khammassi ◽  
Johanna Roche ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Energy Intake ◽  
Acute Exercise ◽  
Cognitive Task ◽  
Area Under The Curve ◽  
Exercise Bout ◽  
Normal Weight ◽  
Short Term ◽  
Mental Work ◽  
Visual Analog Scales

Background: While mental work has been shown to favor overconsumption, the present study compared the effect of a cognitive task alone, followed by acute exercise, or performed on a cycling desk, on short-term food intake and appetite in adults. Methods: A total of 19 normal-weight adults randomly completed: resting session (CON), 30-minute cognitive task (CT), 30-minute cognitive task followed by a 15-minute high-intensity interval exercise bout (CT–EX), and 30-minute cognitive task performed on a cycling desk (CT-CD). Energy expenditure was estimated (heart rate–workload relationship), and energy intake (EI; ad libitum) and appetite (visual analog scales) were assessed. Results: Energy expenditure was higher in CT-EX (P < .001) compared with the other conditions and in CT-CD compared with CON and CT (P < .01). EI was higher in CON (P < .05) and CT-CD compared with CT (P < .01). Relative EI was higher in CON compared with CT (P < .05) and lower in CT-EX compared with CT, CT-CD, and CON (all Ps < .001). Area under the curve desire to eat was higher in CON compared with CT (P < .05) and CT-EX (P < .01). Area under the curve prospective food consumption was higher in CON compared with CT-EX (P < .01). Overall composite appetite score was not different between conditions. Conclusion: While cycling desks are recommended to break up sedentary time, the induced increase in energy expenditure might not be enough to significantly reduce overall short-term relative EI after mental work.

scholarly journals Lorcaserin, A 5-HT2CReceptor Agonist, Reduces Body Weight by Decreasing Energy Intake without Influencing Energy Expenditure

2011 ◽  
Vol 96 (3) ◽  
pp. 837-845 ◽  
Author(s):  
Corby K. Martin ◽  
Leanne M. Redman ◽  
Jinkun Zhang ◽  
Matilde Sanchez ◽  
Christen M. Anderson ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Energy Intake

scholarly journals Energy Expenditure and Physical Activity in Recovering Malnourished Infants

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Russell Rising ◽  
Gul Tiryaki Sonmez
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Energy Metabolism ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Body Fat ◽  
Respiratory Quotient ◽  
Lower Amount ◽  
Healthy Controls ◽  
Metabolic Data

Background. Malnourished infants are small for age and weight.Objectives. Determine profiles in 24-hour energy metabolism in recovering malnourished infants and compare to similarly aged healthy controls.Methods. 10 malnourished infants (58.1±5.9 cm,7.7±5.6months) were healthy prior to spending 22 hours in the Enhanced Metabolic Testing Activity Chamber for measurement of EE (kcal/min), sleeping metabolic rate (SMR; kcal/min), respiratory quotient (RQ;VCO2/VO2), and physical activity (PA; oscillations in wt/min/kg body weight). Metabolic data were extrapolated to 24 hours (kcal/kg/d). Energy intake (kcal/kg/d) and the proportions (%) of carbohydrate, protein, and fat were calculated. Anthropometrics for malnourished infants were obtained. Statistical differences (P<.05) between groups were determined (SPSS, version 13).Results. In comparison to controls, malnourished infants were lighter (4.1±1.2versus7.3±0.8 kg;P<.05), had less body fat % (10.3±7.6versus25.7±2.5), and lower BMI (12.0±1.7versus15.5±1.5;P<.05). In contrast, they had greater energy intake (142.7±14.6versus85.1±25.8;P<.05) with a greater percentage of carbohydrates (55.1±3.9versus47.2±5.2;P<.05). However, malnourished infants had greater 24-hour EE (101.3±20.1versus78.6±8.4;P<.05), SMR (92.6±17.1versus65.0±3.9;P<.05), and RQ (1.00±0.13versus0.86±0.08;P<.05) along with a lower amount of PA (2.3±0.94versus4.0±1.5;P<.05).Conclusions. Malnourished infants require more energy, possibly for growth.

scholarly journals Daily Consumption of Stevia Drops Effects on Glycemia, Body Weight and Energy Intake: Results from a 12-Week, Open-Label, Randomized Controlled Trial in Healthy Adults

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 663-663
Author(s):  
Nikoleta Stamataki ◽  
Benjamin Crooks ◽  
John McLaughlin
Keyword(s):  
Body Weight ◽  
Glucose Tolerance ◽  
Energy Intake ◽  
Real Life ◽  
Normal Weight ◽  
Control Group ◽  
Oral Glucose ◽  
Daily Consumption ◽  
Glucose Response ◽  
Significant Difference

Abstract Objectives Stevia is a non-nutritive sweetener providing sweet taste with zero calories that could constitute an effective strategy toward sugar reduction. This study tested the effects of daily consumption of stevia drops on glycemia, body weight (BW) and energy intake in healthy normal weight adults, non-habitual consumers of non-nutritive sweeteners. Methods Twenty eight healthy participants were randomly assigned to the stevia group (n = 14, mean age: 25 ± 5.5 y, mean body mass index: 22 ± 1.8 kg/m2) and were required to consume 5 drops of a commercially available stevia extract twice daily along with their habitual drinks, or to the control group (n = 14, 25 ± 4.2 y, 21 ± 1.5 kg/m2) and were instructed not to change anything in their diet for 12 weeks. Both groups were encouraged to maintain their usual diet and physical activity habits. At baseline and week 12, glucose response to an oral glucose tolerance test (OGTT) was measured; BW and energy intake were assessed at baseline, week 6 and week 12. Results There was no significant difference in glucose response to the OGTT over the 12 weeks in any study group. However, there was a significant main effect of participant group on BW change over the 12 weeks (F(1, 26) = 5.56, P = 0.026), showing that stevia consumption prevented weight gain (ΔWeight at week 12 = −0.22 ± 0.32 kg for stevia, +0.89 ± 0.39 kg for the control group). Energy intake was significantly decreased between baseline and week 12 in the stevia group (ΔEnergy at week 12 = −344 ± 80.6 kcal, P = 0.003), however no change in energy intake was found in the control group (ΔEnergy = +13.6 ± 125 kcal, P = 0.973). Conclusions These results suggest that daily consumption of stevia in real-life doses does not affect glycemia in healthy normal-weight individuals, but could aid toward weight maintenance and moderation of energy intake. More research is warranted to explore these promising findings further in individuals with overweight/obesity and/or individuals with impaired glucose tolerance (i.e., pre-diabetes/diabetes). Clinicaltrial.gov identifier: NCT03993418. Funding Sources This project has received a N8 AgriFood Pump Priming Award. Ms Stamataki has a BBSRC DTP Case Studentship.

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