Literature DB >> 3728346

A reappraisal of caloric requirements in healthy women.

O E Owen, E Kavle, R S Owen, M Polansky, S Caprio, M A Mozzoli, Z V Kendrick, M C Bushman, G Boden.   

Abstract

The caloric expenditure of 44 healthy, lean and obese women, 8 of whom were trained athletes, was measured by indirect calorimetry. Body composition was determined. Ages ranged from 18-65 yr and body weights from 43-143 kg. Stepwise, multiple-regression analysis was used to determine whether one or several variables best predicted the resting metabolic rate (RMR) of the women. The RMR and the thermic effect of food (TEF) were measured before and after the women consumed a mixed breakfast meal. The results showed that the currently available tables and regression equations overestimate the RMR of healthy women by 7-14%. Body weight was highly related to the RMR, and stepwise inclusions of various variables did not improve predictions of RMR. The slopes of the regression lines for nonathletes and athletes were significantly different. Regression equations for predicting RMR of women were developed: Nonathletes RMR = 795 + 7.18 kg WT; Athletes RMR = 50.4 + 21.1 kg WT. The range of RMR per kilogram body weight was wide for nonathletic, but narrow for athletic women. The metabolism of some lean and obese, nonathletic women was highly efficient, predisposing these women for developing and maintaining body fat. The TEFs were indistinguishable between nonathletic and athletic women, and formed a continuum from the lightest to the heaviest woman.

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Year:  1986        PMID: 3728346     DOI: 10.1093/ajcn/44.1.1

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  57 in total

Review 1.  The impact of exercise and diet restriction on daily energy expenditure.

Authors:  E T Poehlman; C L Melby; M I Goran
Journal:  Sports Med       Date:  1991-02       Impact factor: 11.136

2.  Prediction of resting energy expenditure in severely obese Italian women.

Authors:  S Lazzer; F Agosti; P Silvestri; H Derumeaux-Burel; A Sartorio
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3.  Validity of some prediction equations to assess resting energy expenditure (REE) in 29 elderly obese subjects (>60 years).

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Journal:  Eat Weight Disord       Date:  2008-03       Impact factor: 4.652

4.  Ability of the Harris Benedict formula to predict energy requirements differs with weight history and ethnicity.

Authors:  Crystal C Douglas; Jeannine C Lawrence; Nikki C Bush; Robert A Oster; Barbara A Gower; Betty E Darnell
Journal:  Nutr Res       Date:  2007-04       Impact factor: 3.315

Review 5.  Bioenergetics and body compositional variables of humans.

Authors:  O E Owen; K G Powell; H Silberman
Journal:  Trans Am Clin Climatol Assoc       Date:  1991

6.  Relationship between anthropometric indices of body fat distribution and basal energy metabolism in healthy Maltese women.

Authors:  E Pullicino; C Copperstone; L Luzi; G McNeill; M Elia
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7.  Considerations When Using Predictive Equations to Estimate Energy Needs Among Older, Hospitalized Patients: A Narrative Review.

Authors:  Elizabeth A Parker; Termeh M Feinberg; Stephanie Wappel; Avelino C Verceles
Journal:  Curr Nutr Rep       Date:  2017-04-11

8.  Estimating daily energy expenditure in individuals with amyotrophic lateral sclerosis.

Authors:  Edward J Kasarskis; Marta S Mendiondo; Dwight E Matthews; Hiroshi Mitsumoto; Rup Tandan; Zachary Simmons; Mark B Bromberg; Richard J Kryscio
Journal:  Am J Clin Nutr       Date:  2014-02-12       Impact factor: 7.045

Review 9.  Surgical weight loss: impact on energy expenditure.

Authors:  David Thivel; Katrina Brakonieki; Pascale Duche; Béatrice Morio; Morio Béatrice; Yves Boirie; Boirie Yves; Blandine Laferrère
Journal:  Obes Surg       Date:  2013-02       Impact factor: 4.129

10.  Independent effects of obesity and insulin resistance on postprandial thermogenesis in men.

Authors:  K R Segal; J Albu; A Chun; A Edano; B Legaspi; F X Pi-Sunyer
Journal:  J Clin Invest       Date:  1992-03       Impact factor: 14.808

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