Estimation of energy intake from heart rate and energy expenditure in sheep under confinement or grazing condition

2002 ◽  
Vol 73 (2-3) ◽  
pp. 237-246 ◽  
Author(s):  
D Barkai ◽  
S Landau ◽  
A Brosh ◽  
H Baram ◽  
G Molle
1993 ◽  
Vol 264 (5) ◽  
pp. E706-E711 ◽  
Author(s):  
M. I. Goran ◽  
W. H. Carpenter ◽  
E. T. Poehlman

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.


2008 ◽  
Vol 4 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Cristen L. Harris ◽  
Valerie A. George

Inaccurate estimations of energy intake (EI) and energy expenditure (EE) may ultimately affect body weight. The purpose of this study was to evaluate accuracy of estimated EI and EE among males in reference to exercise and rest using a counterbalanced, crossover, repeated-measures design. Participants ( N = 80) were recruited from a large, urban university in South Florida. Exercise consisted of walking on a treadmill for 60 min at 65% age-predicted maximum heart rate. Food intake was evaluated immediately following exercise and rest. Participants underestimated EI (kcal) on both the exercise ( M = 435, SEM = 69) and rest days ( M = 439, SEM = 54), overestimated EE (kcal) for exercise ( M = 129, SEM = 44), and underestimated EE for rest ( M = 54, SEM = 10). Greater accuracy in estimating EE for exercise was significantly ( p < .05) associated with higher dietary restraint. The findings suggest that among sedentary males, there is an inability to accurately estimate calories, which has the potential to influence behaviors that affect weight management.


2007 ◽  
Vol 292 (4) ◽  
pp. E1062-E1068 ◽  
Author(s):  
Birgitte Sloth ◽  
Jens Juul Holst ◽  
Anne Flint ◽  
Nikolaj Ture Gregersen ◽  
Arne Astrup

Peptide YY (PYY)3–36has been shown to produce dramatic reductions in energy intake (EI), but no human data exist regarding energy expenditure (EE), glucose and fat metabolism. Nothing is known regarding PYY1-36. To compare effects of PYY1–36and PYY3–36on appetite, EI, EE, insulin, glucose and free fatty acids (FFA) concentrations, 12 lean and 12 obese males participated in a blinded, randomized, crossover study with 90-min infusions of saline, 0.8 pmol·kg−1·min−1PYY1–36and PYY3–36. Only four participants completed PYY3–36infusions because of nausea. Subsequently, six lean and eight obese participants completed 0.2 pmol·kg−1·min−1PYY3–36and 1.6 pmol·kg−1·min−1PYY1–36infusions. PYY3–36at 0.8 pmol·kg−1·min−1produced reduced EI, lower ratings of well-being, increases in FFA, postprandial glucose (only 0.8 pmol·kg−1·min−1PYY3–36) and insulin concentrations, as well as heart rate and EE (only 0.8 pmol·kg−1·min−1PYY3–36). PYY1–36at 1.6 pmol·kg−1·min−1produced increased heart rate and postprandial insulin response. Ratings of appetite were opposite with infusions of 0.8 and 1.6 pmol·kg−1·min−1PYY1–36and seemed to depend on subjects being lean or obese. PYY3–36caused increased thermogenesis, lipolysis, postprandial insulin and glucose responses, suggestive of increased sympathoadrenal activity. PYY1–36had no effect on EI and no clear effects on appetite but resulted in increased heart rate and postprandial insulin response. However, highest tolerable dose of PYY1–36was probably not reached in the present study.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Nikita Sanjay Israni ◽  
Thomas Cassimatis ◽  
Laura A Fletcher ◽  
Brooks P Leitner ◽  
Courtney J Duckworth ◽  
...  

Abstract Design and rationale: Obesity results from energy intake exceeding energy expenditure (EE) over a prolonged period. Many anti-obesity drugs are designed to decrease energy intake. However, their potential impact on EE is not well documented. We designed a placebo-controlled, double-blind, randomized cross-over study to determine the acute effects of several FDA-approved anti-obesity drugs on basal metabolic rate (BMR) under well-controlled conditions. Protocol and inclusion criteria: This ongoing study is limited to healthy males of all ethnicities aged 18–35 years with a BMI of 18.5 to 25.0 kg/m2. Following an overnight stay in the Metabolic Clinical Research Unit, fasting subjects were measured from 8:00am to 12:00pm in a whole-room indirect calorimeter, which was maintained at a thermoneutral temperature (26.7±0.9°C) to prevent non-shivering thermogenesis. The six treatments include placebo, caffeine as the positive control (300 mg), phentermine (37.5 mg), topiramate (200 mg), Qsymia (phentermine 15 mg / topiramate 92 mg), and naltrexone (100 mg), with a 1-week outpatient washout period after each treatment. Drug-naïve subjects received a single dose of each drug to minimize potential metabolic adaptations that may occur with weight-loss or chronic use. The prespecified primary outcome was a ≥5% increase in BMR vs. placebo for each drug. This difference can be detected for 16 subjects with 0.83 power at α=0.05 allowing for ≤25% dropout. Secondary outcomes include respiratory quotient (RQ), heart rate (HR), mean arterial pressure (MAP), and self-reported hunger. Preliminary data: To date, 7 subjects were recruited and 6 have completed the study (26.1±4.3 years, BMI 23.1±1.4 kg/m2, body fat percentage 18.4±4.1%). Interim analysis using paired t-tests shows, compared to placebo, caffeine trended towards increasing EE (1.17±0.07 vs. 1.27±0.12 kcal/min; p=0.07) and increased MAP by 5.5±4.2% (88±2 vs. 93±4; p&lt;0.05), but did not change heart rate (59±10 vs. 61±13 bpm). Naltrexone increased EE by 5.9±4.3% (p&lt;0.05). No treatments altered resting RQ compared to placebo (0.83±0.05). Phentermine increased resting HR, both alone (15.7±7.9%, p&lt;0.01) and in Qsymia (9.2±3.6%, p&lt;0.05), compared to placebo. Of the five drug-treatments, only Qsymia reduced self-reported hunger scores compared to placebo. Summary and future directions: Anti-obesity drugs may increase energy expenditure by upregulating sympathetic nervous system activity. Combined with appetite suppression, the impact on energy balance can lead to weight loss. We aim to complete our study to determine whether these drugs can acutely increase EE with minimal cardiovascular side-effects and compare our findings with long-term interventions.


2020 ◽  
pp. 1-6
Author(s):  
Tatyana Dzimbova

Introduction. Proper nutrition is crucial for child and adolescent athletes to maintain growth and development and to achieveoptimal results in sports. It is very important to balance the energy expenditure with the energy intake in order to prevent the energy deficit or excess.Materials and methods. Subjects involved in two different sports participated in the study: 13 gymnasts (age 13.8 ± 4.1 years, height 153.4 ± 11.3 cm, weight 47.1 ± 10.5 kg) and 15 basketball players (age 15.5 ± 1.1 years, height 176.7 ± 7.9 cm, weight 65.2 ± 10.7 kg). Determination of total energy expenditure was made by prediction equations. The subjects maintained a food records for 5 consecutive days, which were processed in the ASA24 system of the NCI. Results and discussion. Energy intake in both groups is sufficient to meet the daily needs, development of young athletes andprovide the energy needed in training. The intake of three minerals (calcium, magnesium and potassium) and three vitamins (D, E and A) was lower than recommended values in both groups.Conclusion. As a result of the busy schedule of adolescent athletes, their main meals are out of home, and the proportion of highly processed foods containing small amounts of important vitamins and minerals is high. The main recommendations include dairy products, fruits, vegetables and whole grains. The idea behind the changes is to give young athletes the right diet and the right eating habits.


1975 ◽  
Vol 53 (6) ◽  
pp. 679-685 ◽  
Author(s):  
J. B. Holter ◽  
W. E. Urban Jr. ◽  
H. H. Hayes ◽  
H. Silver ◽  
H. R. Skutt

Six adult white-tailed deer (Odocoileus virginianus borealis) were exposed to 165 periods of 12 consecutive hours of controlled constant ambient temperature in an indirect respiration calorimeter. Temperatures among periods varied from 38 to 0 (summer) or to −20C (fall, winter, spring). Traits measured were energy expenditure (metabolic rate), proportion of time spent standing, heart rate, and body temperature, the latter two using telemetry. The deer used body posture extensively as a means of maintaining body energy equilibrium. Energy expenditure was increased at low ambient temperature to combat cold and to maintain relatively constant body temperature. Changes in heart rate paralleled changes in energy expenditure. In a limited number of comparisons, slight wind chill was combatted through behavioral means with no effect on energy expenditure. The reaction of deer to varying ambient temperatures was not the same in all seasons of the year.


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