Doubly labeled water measurement of human energy expenditure during exercise at high altitude

1994 ◽  
Vol 266 (3) ◽  
pp. R966-R971 ◽  
Author(s):  
R. W. Hoyt ◽  
T. E. Jones ◽  
C. J. Baker-Fulco ◽  
D. A. Schoeller ◽  
R. B. Schoene ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Fat Free Mass ◽  
Total Weight ◽  
Doubly Labeled Water ◽  
Activity Monitors ◽  
Human Energy ◽  
Total Daily Energy Expenditure ◽  
Total Body ◽  
Water Measurement ◽  
Body Energy

Estimates of total daily energy expenditure (TDEE) by the doubly labeled water (DLW, 2H(2)18O) and intake balance (I-B) methods were compared in six male soldiers studied over 6 days that included 5 days of strenuous winter exercise at 2,500- to 3,100-m elevation. Use of body energy stores [-9.54 +/- 1.54 (SD) MJ/day or -2,280 +/- 368 kcal/day] was estimated from changes in body weight, body density (hydrodensitometry), and total body water (H(2)18O dilution). The subjects wore computerized activity monitors and kept daily records of ration consumption (9.87 +/- 3.60 MJ/day or 2,359 +/- 860 kcal/day). Accuracy of individual DLW and I-B TDEE values was estimated from the correlations of TDEE with fat-free mass (FFM) or total weight (body wt + load). The DLW and I-B estimates of TDEE differed by -12.0 to 15.2% but provided comparable estimates of group mean TDEE (DLW = 19.07 +/- 2.37 MJ/day or 4,558 +/- 566 kcal/day; I-B = 19.41 +/- 3.72 MJ/day or 4,639 +/- 889 kcal/day; P > 0.05). The DLW TDEE was correlated with both FFM (r2 = 0.89, P < 0.01, power = 0.95) and total weight (r2 = 0.95, P < 0.01, power = 0.99), whereas I-B TDEE was correlated only with total weight (r2 = 0.75, P < 0.03, power = 0.81). Under adverse field conditions the DLW method provided individual TDEE estimates that were probably more accurate than those provided by the I-B method.

scholarly journals Total Energy Expenditure, Body Composition, Physical Activity, and Step Count in Japanese Preschool Children: A Study Based on Doubly Labeled Water

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1223
Author(s):  
Yosuke Yamada ◽  
Hiroyuki Sagayama ◽  
Aya Itoi ◽  
Makoto Nishimura ◽  
Kaori Fujisawa ◽  
...  
Keyword(s):  
Preschool Children ◽  
Energy Expenditure ◽  
Energy Requirement ◽  
Step Count ◽  
Fat Free Mass ◽  
Doubly Labeled Water ◽  
Healthy Development ◽  
Total Daily Energy Expenditure ◽  
Daily Step Count ◽  
Measurement Period

Adequate energy intake is essential for the healthy development of children, and the estimated energy requirement of children is determined by total daily energy expenditure (TDEE) and energy deposition for growth. A previous study in Japanese tweens indicated that TDEE could be estimated by fat-free mass (FFM) and step count. The aims of this study were to measure TDEE in Japanese preschool children and to confirm whether TDEE can be estimated by FFM and step count in preschool children. Twenty-one children aged 4–6 years old (11 girls and 10 boys; age, 5.1 (0.9) years; height, 107.2 (6.6) cm; weight, 17.5 (1.7) kg; BMI, 15.3 (1.3); mean (SD)) participated in this study. FFM and 7-day TDEE were obtained by doubly labeled water (DLW). Participants wore accelerometers during the DLW measurement period. No significant differences were observed in age-adjusted height, weight, BMI, FFM (13.0 (1.5) kg), or TDEE (1300 (174) kcal/day) between girls and boys. Girls had significantly higher percent fat and a lower daily step count than boys. Stepwise regression analysis revealed that FFM and step count were significant predictors of TDEE; TDEE (kcal/day) = 85.0 × FFM (kg) + 0.0135 × step count (steps/day). This accounted for 74% of TDEE variance. The current study confirmed that FFM and step count are major determinants of TDEE in Japanese preschool children as well as adolescents, although further research is needed to obtain precise equations.

Application of the Doubly Labeled Water Technique for Studying Total Energy Expenditure in Young Children: A Review

1994 ◽  
Vol 6 (1) ◽  
pp. 11-30 ◽  
Author(s):  
Michael I. Goran
Keyword(s):  
Energy Metabolism ◽  
Energy Expenditure ◽  
Young Children ◽  
Human Subjects ◽  
Resting Energy Expenditure ◽  
Whole Body ◽  
Doubly Labeled Water ◽  
Daily Energy ◽  
Total Daily Energy Expenditure ◽  
Body Energy

The doubly labeled water technique represents an unobtrusive and noninvasive means to measure total daily energy expenditure in free-living human subjects who are unaware that energy expenditure is being measured. When combined with measurement of resting energy expenditure, the doubly labeled water technique can also be used to estimate energy expenditure related to physical activity. The relatively recent availability of the doubly labeled water technique in humans has led to several advances in the fundamental understanding of whole body energy metabolism in several important areas. The purpose of this paper is to review the areas in which the doubly labeled water technique has specifically advanced our understanding of whole-body energy metabolism in young children.

scholarly journals Influence of body composition on physical activity validation studies using doubly labeled water

2004 ◽  
Vol 96 (4) ◽  
pp. 1357-1364 ◽  
Author(s):  
Louise C. Mâsse ◽  
Janet E. Fulton ◽  
Kathleen L. Watson ◽  
Matthew T. Mahar ◽  
Michael C. Meyers ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Energy Expenditure ◽  
Body Mass ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
Doubly Labeled Water ◽  
Comparison Analysis ◽  
Methods Comparison ◽  
Statistical Procedures

This study investigated the influence of two approaches (mathematical transformation and statistical procedures), used to account for body composition [body mass or fat-free mass (FFM)], on associations between two measures of physical activity and energy expenditure determined by doubly labeled water (DLW). Complete data for these analyses were available for 136 African American (44.1%) and Hispanic (55.9%) women (mean age 50 ± 7.3 yr). Total energy expenditure (TEE) by DLW was measured over 14 days. Physical activity energy expenditure (PAEE) was computed as 0.90 × TEE - resting metabolic rate. During week 2, participants wore an accelerometer for 7 consecutive days and completed a 7-day diary. Pearson's product-moment correlations and three statistical procedures (multiple regressions, partial correlations, and allometric scaling) were used to assess the effect of body composition on associations. The methods-comparison analysis was used to study the effect of body composition on agreement. The statistical procedures demonstrated that associations improved when body composition was included in the model. The accelerometer explained a small but meaningful portion of the variance in TEE and PAEE after body mass was accounted for. The methods-comparison analysis confirmed that agreement with DLW was affected by the transformation. Agreement between the diary (transformed with body mass) and TEE reflected the association that exists between body mass and TEE. These results suggest that the accelerometer and diary accounted for a small portion of TEE and PAEE. Most of the variance in DLW-measured energy expenditure was explained by body mass or FFM.

scholarly journals Descriptive epidemiology of energy expenditure in the UK: Findings from the National Diet and Nutrition Survey 2008 – 2015

2019 ◽  
Author(s):  
Soren Brage ◽  
Tim Lindsay ◽  
Michelle Venables ◽  
Katrien Wijndaele ◽  
Kate Westgate ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Old Age ◽  
Gold Standard ◽  
Total Energy Expenditure ◽  
Fat Free Mass ◽  
Nutrition Survey ◽  
Representative Study ◽  
Human Energy ◽  
Nationally Representative ◽  
The Uk

AbstractBackgroundLittle is known about population levels of energy expenditure as national surveillance systems typically employ only crude measures. The National Diet and Nutrition Survey (NDNS) in the UK measures energy expenditure in a 10% subsample by gold-standard doubly-labelled water (DLW).MethodsDLW-subsample participants from the NDNS (383 males, 387 females) aged 4-91yrs were recruited between 2008 and 2015. Height and weight were measured, and bodyfat percentage was estimated by deuterium dilution.ResultsAbsolute Total Energy Expenditure (TEE) increases steadily throughout childhood, ranging from 6.3 and 7.2 MJ/day in 4-7yr-old to 9.9 and 11.8 MJ/day for 14-16yr-old girls and boys, respectively. TEE peaked in 17-27yr-old women (10.9 MJ/day) and 28-43yr-old men (14.4 MJ/day), before decreasing gradually in old age. Physical Acitivty Energy Expenditure (PAEE) declines steadily with age from childhood (87.7 kJ/day/kg in 4-7yr olds) through to old age (38.9 kJ/day/kg in 71-91yr olds). Bodyfat percentage was strongly inversely associated with PAEE throughout life, irrespective of expressing PAEE relative to bodymass or fat-free mass. Compared to females with <30% bodyfat, females >40% recorded 28 kJ/day/kg and 17 kJ/day/kg fat-free mass less PAEE in analyses adjusted for age, geographical region, and time of assessment. Similarly, compared to males with <25% bodyfat, males >35% recorded 26 kJ/day/kg and 10 kJ/day/kg fat-free mass less PAEE.ConclusionsThis first nationally representative study reports levels of human energy expenditure as measured by gold-standard methodology; values may serve as reference for other population studies. Age, sex and body composition are main biological determinants of energy expenditure.Key messagesFirst nationally representative study of human energy expenditure, covering the UK in the period 2008-2015Total Energy Expenditure (MJ/day) increases steadily with age thoughout childhood and adolescence, peaks in the 3rd decade of life in women and 4th decade of life in men, before decreasing gradually in old agePhysical Acitivty Energy Expenditure (kJ/day/kg or kJ/day/kg fat-free mass) declines steadily with age from childhood to old age, more steeply so in malesBodyfat percentage is strongly inversely associated with physical activity energy expenditure

Influence of muscular development, obesity, and age on the fat-free mass of adults

1976 ◽  
Vol 41 (2) ◽  
pp. 223-229 ◽  
Author(s):  
J. Womersley ◽  
J. V. Durnin ◽  
K. Boddy ◽  
M. Mahaffy
Keyword(s):  
Body Fat ◽  
The Body ◽  
Fat Free Mass ◽  
Potassium Content ◽  
Whole Body ◽  
Obese Women ◽  
Men And Women ◽  
Muscular Development ◽  
Total Body ◽  
Water Measurement

Body fat and the fat-free mass (FFM) were estimated in 36 men and 43 women deliberately chosen to represent a variety of physical types; these were 1) young sedentary, 2) “muscular,” 3) younger obese, 4) older obese, and 5) older nonobese individuals of both sexes. The body fat and the FFM were estimated from measurements of body density (by total immersion in water, measurement being made of the residual volume of air present in the lungs at immersion) and from measurements of total body potassium (using a whole-body monitor to assess the natural 40K isotope present in the body). The muscular men and women and the younger obese men and women had a considerably greater FFM and thus had greater quantities of potassium than the corresponding sedentary groups. There were significantly different estimates of the FFM calculated from density and from total body K in three groups, the sedentary young men, the muscular, and the younger obese women. The density and the potassium content of the FFM appear to decline with obesity and aging. Muscular development is associated with a decrease in the density but an increase in the potassium content of the FFM.

Energy expenditure in children of lean and obese parents

1995 ◽  
Vol 268 (5) ◽  
pp. E917-E924 ◽  
Author(s):  
M. I. Goran ◽  
W. H. Carpenter ◽  
A. McGloin ◽  
R. Johnson ◽  
J. M. Hardin ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Body Fat ◽  
Resting Energy Expenditure ◽  
Fat Free Mass ◽  
Analysis Of Covariance ◽  
Physical Activity Energy Expenditure ◽  
Doubly Labeled Water ◽  
Children And Parents ◽  
Children Obesity ◽  
Activity Energy

We evaluated whether children of obese parents have defects in energy expenditure in a study of 73 children (5 +/- 0.9 yr of age) of lean and obese parents. Total energy expenditure (TEE) was measured over 14 days by use of doubly labeled water and physical activity energy expenditure (AEE) derived by subtracting resting energy expenditure (REE) under postprandial conditions. Fat and fat-free mass (FFM) were measured in children and parents with use of bioelectrical resistance. There were no significant correlations between TEE, REE, or AEE in children (after adjustment for FFM) and body fat in children or body fat in mothers or fathers. In three-way analysis of covariance (ANCOVA, with FFM as a covariate), there were no significant effects of gender in children, obesity in mothers, or obesity in fathers on TEE or AEE in children. There was a significant effect of gender and a significant interaction between obesity in mothers and obesity in fathers on REE; relative to children with two nonobese or two obese parents, REE was approximately 6% lower in children when mothers only or fathers only were obese. In conclusion, our data do not support the hypothesis that children of obese parents have major defects in energy expenditure.

scholarly journals Validity of Two Questionnaires and Two Prediction Equations for Estimating Total Energy Expenditure in Healthy Adults: A Doubly Labeled Water Study

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1175-1175
Author(s):  
Megan McCrory ◽  
Hannah Bernard ◽  
Owen Maroney ◽  
Rashmi Sharma ◽  
Susan Roberts
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Total Energy Expenditure ◽  
Normal Weight ◽  
Fat Free Mass ◽  
Doubly Labeled Water ◽  
Group Level ◽  
Prediction Equations ◽  
Limits Of Agreement ◽  
Bod Pod

Abstract Objectives The doubly labeled water (DLW) method is the gold standard for assessing total energy expenditure (TEE), but is costly. Questionnaires and prediction equations for TEE are nearly cost-free but research on their validity is scarce. We evaluated the validity of TEE assessed by two questionnaires and two prediction equations in comparison with TEE assessed by DLW. Based on previous work, we hypothesized that the questionnaires would be valid at a group level, and that the prediction equations would be valid at an individual level. Methods Data from a 10-d observational study in 124 healthy, nonsmoking adults were used (63% F, aged 29.8 ± 12.2 y, BMI 24.5 ± 3.9 kg/m2 (Mean ± SD)). TEE was measured by DLW using a mixed oral 2H218O dose containing 0.15 g 2H218O and 0.07 g of 2H2O per kg body weight. Analysis of urine samples and calculations of TEE were carried out using standard methodology. TEE was estimated from the 7-day Physical Activity Recall (7dPAR; Sallis et al. 1985), the Block Work and Home Survey (BWHS; Block et al. 2009), Dietary Reference Intakes (DRI) equations for estimated energy requirements of adults with normal weight or overweight/obesity (IOM 2005), and the BOD POD air displacement plethysmograph. 7dPAR TEE was estimated by multiplying MET-min/day with resting metabolic rate estimated from DRI basal energy expenditure equations. The BOD POD measured body composition by densitometry and TEE was estimated from fat-free mass and fat mass (Nelson et al. 1992) and an activity factor (WHO 1985). Results TEE values were 2430 ± 535 (DLW), 2375 ± 445 (7dPAR), 2407 ± 750 (BWHS), 2335 ± 388 (DRI), 2134 ± 439 (BOD POD) kcal/d (Mean ± SD), with DRI and BOD POD significantly lower than DLW (P &lt;0.01). Mean ± 2SD limits of agreement (kcal/d) between DLW and 7dPAR (−766, 877) and BWHS (−1420, 1468) were wider than those between DLW and DRI (−630, 822) and BOD POD (−463, 1057). The R2 and SEE of the method associations with DLW ranged from 0.17 to 0.54 and 264 to 688 kcal/d, respectively (all P = 0.000). Conclusions The 7dPAR and BWHS were valid for estimating TEE at a group level. While the DRI and BOD POD equations were more accurate at estimating TEE of individuals, none of the tools are recommended for individual assessment of TEE due to their low R2 and wide Bland-Altman limits of agreement with DLW. Funding Sources NIH R01 DK075862 and Purdue University.

scholarly journals Evaluation of the ability of three physical activity monitors to predict weight change and estimate energy expenditure

2016 ◽  
Vol 41 (7) ◽  
pp. 758-766 ◽  
Author(s):  
John B. Correa ◽  
John W. Apolzan ◽  
Desti N. Shepard ◽  
Daniel P. Heil ◽  
Jennifer C. Rood ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Weight Change ◽  
Medium Effect ◽  
Sensewear Armband ◽  
Activity Monitors ◽  
Daily Energy ◽  
Total Daily Energy Expenditure ◽  
Calorie Diet ◽  
Physical Activity Monitors ◽  
Monitoring Devices

Activity monitors such as the Actical accelerometer, the Sensewear armband, and the Intelligent Device for Energy Expenditure and Activity (IDEEA) are commonly validated against gold standards (e.g., doubly labeled water, or DLW) to determine whether they accurately measure total daily energy expenditure (TEE) or activity energy expenditure (AEE). However, little research has assessed whether these parameters or others (e.g., posture allocation) predict body weight change over time. The aims of this study were to (i) test whether estimated energy expenditure or posture allocation from the devices was associated with weight change during and following a low-calorie diet (LCD) and (ii) compare free-living TEE and AEE predictions from the devices against DLW before weight change. Eighty-seven participants from 2 clinical trials wore 2 of the 3 devices simultaneously for 1 week of a 2-week DLW period. Participants then completed an 8-week LCD and were weighed at the start and end of the LCD and 6 and 12 months after the LCD. More time spent walking at baseline, measured by the IDEEA, significantly predicted greater weight loss during the 8-week LCD. Measures of posture allocation demonstrated medium effect sizes in their relationships with weight change. Bland–Altman analyses indicated that the Sensewear and the IDEEA accurately estimated TEE, and the IDEEA accurately measured AEE. The results suggest that the ability of energy expenditure and posture allocation to predict weight change is limited, and the accuracy of TEE and AEE measurements varies across activity monitoring devices, with multi-sensor monitors demonstrating stronger validity.

Sign in / Sign up

Export Citation Format

Share Document