Age-related changes in resting energy expenditure in normal weight, overweight and obese men and women

Maturitas ◽  
2015 ◽  
Vol 80 (4) ◽  
pp. 406-413 ◽  
Author(s):  
Mario Siervo ◽  
Clio Oggioni ◽  
Jose Lara ◽  
Carlos Celis-Morales ◽  
John C. Mathers ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Men And Women ◽  
Age Related ◽  
Age Related Changes ◽  
Resting Energy

scholarly journals Gender-Specific Associations in Age-Related Changes in Resting Energy Expenditure (REE) and MRI Measured Body Composition in Healthy Caucasians

2015 ◽  
Vol 71 (7) ◽  
pp. 941-946 ◽  
Author(s):  
Corinna Geisler ◽  
Wiebke Braun ◽  
Maryam Pourhassan ◽  
Lisa Schweitzer ◽  
Claus-Christian Glüer ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Age Related ◽  
Gender Specific ◽  
Age Related Changes ◽  
Resting Energy

scholarly journals Effect of organ and tissue masses on resting energy expenditure in underweight, normal weight and obese adults

2003 ◽  
Vol 28 (1) ◽  
pp. 72-79 ◽  
Author(s):  
A Bosy-Westphal ◽  
U Reinecke ◽  
T Schlörke ◽  
K Illner ◽  
D Kutzner ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Obese Adults ◽  
Resting Energy

Effects of Television on Metabolic Rate: Potential Implications For Childhood Obesity

PEDIATRICS ◽  
1993 ◽  
Vol 91 (2) ◽  
pp. 281-286
Author(s):  
Robert C. Klesges ◽  
Mary L. Shelton ◽  
Lisa M. Klesges
Keyword(s):  
Energy Expenditure ◽  
Metabolic Rate ◽  
Television Viewing ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Laboratory Setting ◽  
Obese Children ◽  
Two Measures ◽  
The Relationship ◽  
Resting Energy

The effects of television viewing on resting energy expenditure (metabolic rate) in obese and normal-weight children were studied in a laboratory setting. Subjects were 15 obese children and 16 normal-weight children whose ages ranged from 8 to 12 years. All subjects had two measures of resting energy expenditure obtained while at rest and one measurement of energy expenditure taken while viewing television. Results indicated that metabolic rate during television viewing was significantly lower (mean decrease of 211 kcal extrapolated to a day) than during rest. Obese children tended to have a larger decrease, although this difference was not statistically significant (262 kcal/d vs 167 kcal/d, respectively). It was concluded that television viewing has a fairly profound lowering effect of metabolic rate and may be a mechanism for the relationship between obesity and amount of television viewing.

scholarly journals Accuracy and Validity of Resting Energy Expenditure Predictive Equations in Middle-Aged Adults

Nutrients ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1635 ◽  
Author(s):  
Francisco Amaro-Gahete ◽  
Lucas Jurado-Fasoli ◽  
Alejandro De-la-O ◽  
Ángel Gutierrez ◽  
Manuel Castillo ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Prediction Accuracy ◽  
Weight Status ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Middle Aged ◽  
Predictive Equations ◽  
Middle Aged Adults ◽  
Resting Energy

Indirect calorimetry (IC) is considered the reference method to determine the resting energy expenditure (REE), but its use in a clinical context is limited. Alternatively, there is a number of REE predictive equations to estimate the REE. However, it has been shown that the available REE predictive equations could either overestimate or underestimate the REE as measured by IC. Moreover, the role of the weight status in the accuracy and validity of the REE predictive equations requires further attention. Therefore, this study aimed to determine the accuracy and validity of REE predictive equations in normal-weight, overweight, and obese sedentary middle-aged adults. A total of 73 sedentary middle-aged adults (53% women, 40–65 years old) participated in the study. We measured REE by indirect calorimetry, strictly following the standard procedures, and we compared it with the values obtained from 33 predictive equations. The most accurate predictive equations in middle-aged sedentary adults were: (i) the equation of FAO/WHO/UNU in normal-weight individuals (50.0% of prediction accuracy), (ii) the equation of Livingston in overweight individuals (46.9% of prediction accuracy), and (iii) the equation of Owen in individuals with obesity (52.9% of prediction accuracy). Our study shows that the weight status plays an important role in the accuracy and validity of different REE predictive equations in middle-aged adults.

scholarly journals Congruent Validity of Resting Energy Expenditure Predictive Equations in Young Adults

Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 223 ◽  
Author(s):  
Francisco Amaro-Gahete ◽  
Guillermo Sanchez-Delgado ◽  
Juan Alcantara ◽  
Borja Martinez-Tellez ◽  
Victoria Muñoz-Hernandez ◽  
...  
Keyword(s):  
Young Adults ◽  
Energy Expenditure ◽  
United Nations ◽  
Weight Status ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Healthy Adults ◽  
Predictive Equations ◽  
Resting Energy

Having valid and reliable resting energy expenditure (REE) estimations is crucial to establish reachable goals for dietary and exercise interventions. However, most of the REE predictive equations were developed some time ago and, as the body composition of the current population has changed, it is highly relevant to assess the validity of REE predictive equations in contemporary young adults. In addition, little is known about the role of sex and weight status on the validity of these predictive equations. Therefore, this study aimed to investigate the role of sex and weight status in congruent validity of REE predictive equations in young adults. A total of 132 young healthy adults (67.4% women, 18–26 years old) participated in the study. We measured REE by indirect calorimetry strictly following the standard procedures, and we compared it to 45 predictive equations. The most accurate equations were the following: (i) the Schofield and the “Food and Agriculture Organization of the United Nations/World Health Organization/United Nations” (FAO/WHO/UNU) equations in normal weight men; (ii) the Mifflin and FAO/WHO/UNU equations in normal weight women; (iii) the Livingston and Korth equations in overweight men; (iv) the Johnstone and Frankenfield equations in overweight women; (v) the Owen and Bernstein equations in obese men; and (vi) the Owen equation in obese women. In conclusion, the results of this study show that the best equation to estimate REE depends on sex and weight status in young healthy adults.

scholarly journals New Predictive Equations for Resting Energy Expenditure in Normal to Overweight and Obese Population (P16-048-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Ali Almajwal ◽  
Mahmoud Abulmeaty
Keyword(s):  
Regression Analysis ◽  
Energy Expenditure ◽  
Linear Regression Analysis ◽  
Resting Energy Expenditure ◽  
Accurate Prediction ◽  
Future Research ◽  
Predictive Equations ◽  
Men And Women ◽  
New Equation ◽  
Resting Energy

Abstract Objectives The unique demographic and dietary characteristics of our population require the development of a new equation to estimate the resting energy expenditure (REE). This study presented new equations characteristic to our population. Methods A set of predictive equations for REE was derived for 427 healthy male and female subjects (aged 18–57 ± 14 years). Measurement of REE (REEm) was done by the indirect calorimetry (IC) and its prediction (REEp) by using nine equations. REEp was compared with REEm to determine the predictive accuracy of these equations. Using IC and anthropometrics for stepwise linear regression analysis, a new equation to predict REE of Saudi men and women was developed. Results Using a number of parameters (bias, underprediction, overprediction, % accurate prediction), our results suggested that almost all (9/9 in men and 7/9 in women) equations either underpredicted or overpredicted (2/9) REE. None of the already existing equations showed an acceptable REEp/REEm difference as low as 5%, and an accurate prediction (∼55%) at the individual level. Based on these findings, a new prediction equation (hereafter referred to as Almajwal–Abulmeaty [AA] equation) was developed using this study's data, after a rigorous stepwise regression analysis using the following formula: REE = 3832.955 + BW [Kg] × 48.037 − Ht [Cm] × 30.642 + gender × 141.268 − age [years] × 4.525. The regression model accounted for about 70% of the variance in REEm (R2 = 0.702). Conclusions Previous equations likely over- or underpredicted REE. Therefore, the new predictive “AA equation” developed in this study is recommended for the estimation of REE in young to middle-aged Saudi men and women with different body mass index. Future research is also required for further clinical and cross-validation of this new equation. Funding Sources This study was supported by the King Abdulaziz City for Science and Technology (grant number 11 – MED 1966 – 02). Supporting Tables, Images and/or Graphs

scholarly journals External validation of equations to estimate resting energy expenditure in 14952 adults with overweight and obesity and 1948 adults with normal weight from Italy

2019 ◽  
Vol 38 (1) ◽  
pp. 457-464 ◽  
Author(s):  
Giorgio Bedogni ◽  
Simona Bertoli ◽  
Alessandro Leone ◽  
Ramona De Amicis ◽  
Elisa Lucchetti ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
External Validation ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Resting Energy

Resting energy expenditure in girls with Turner syndrome

2017 ◽  
Vol 30 (3) ◽  
Author(s):  
Gerhard Binder ◽  
Laura Frank ◽  
Julian Ziegler ◽  
Gunnar Blumenstock ◽  
Roland Schweizer
Keyword(s):  
Energy Expenditure ◽  
Short Stature ◽  
Turner Syndrome ◽  
Resting Energy Expenditure ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Gh Treatment ◽  
Age Related ◽  
Resting Energy

AbstractBackground:Knowledge concerning energy metabolism in Turner syndrome (TS) is lacking. We compared the resting energy expenditure per fat-free mass (REE/FFM) in TS with other girls with short stature treated with growth hormone (GH) and age-related controls.Methods:We measured prospectively REE by spirometry under fasting conditions in the morning in 85 short prepubertal girls at the start of GH treatment. Diagnoses were TS (n=20), GH deficiency (GHD) (n=38) and small for gestational age (SGA) short stature (n=27). Additionally, 20 age-related controls were studied. Mean ages were 8.3 (TS), 7.1 (GHD), 6.9 (SGA) and 8.5 years (controls). Mean heights were −2.90 (TS), −3.32 (GHD), −3.69 (SGA) and −0.03 standard deviation scores (SDS) (controls). FFM was measured by bioelectrical impedance analysis (BIA).Results:At the start of GH girls with TS showed insignificantly higher REE per FFM (REE/FFM) (mean±SD; 65±9 kcal/kg×day) than did the other female patients (62±9 kcal/kg×day) (p>0.23). The healthy controls had significantly lower REE/FFM (35±4 kcal/kg×day) (p<0.001). Follow-up examination of the patients after 6 or 12 months revealed decreasing REE/FFM in TS (62±9 kcal/kg×day) resulting in comparable REE/FFM in all three patient groups.Conclusions:At baseline short girls with TS had insignificantly higher REE/FFM than short children with SGA or GHD, but in follow-up this difference was not detectable any more. Future studies are necessary to understand this observation.

scholarly journals Acute Administration of Phenylpropanolamine Fails to Affect Resting Energy Expenditure in Men of Normal Weight

1997 ◽  
Vol 5 (5) ◽  
pp. 470-473 ◽  
Author(s):  
Paul A. Rushing ◽  
Suzan E. Winders ◽  
Sheree L. Watson ◽  
Robert C. Klesges
Keyword(s):  
Energy Expenditure ◽  
Resting Energy Expenditure ◽  
Normal Weight ◽  
Acute Administration ◽  
Resting Energy
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