Literature DB >> 14749238

Energy requirements in the eighth decade of life.

Stéphane Blanc1, Dale A Schoeller, Douglas Bauer, Michelle E Danielson, Frances Tylavsky, Eleanor M Simonsick, Tamara B Harris, Stephen B Kritchevsky, James E Everhart.   

Abstract

BACKGROUND: Knowledge of energy requirements among relatively healthy elderly is limited.
OBJECTIVES: The objectives of the study were to measure total energy expenditure (TEE)-derived energy requirements in a biracial population of older adults without limitations to daily life and to test these empirical measures against national and international recommendations.
DESIGN: TEE (measured by the doubly labeled water method), resting metabolic rate (RMR), activity-related energy expenditure (AEE), and body composition were measured in 288 persons aged 70-79 y selected from the Health, Aging, and Body Composition Study.
RESULTS: TEE was lower in women (approximately 530 kcal/d; P < 0.0001) than in men because of the women's lower RMR and AEE. Fat-free mass explained the sex difference in RMR, but body weight failed to account for the women's lower AEE (approximately 1 kcal x kg(-1) x d(-1); P = 0.007). Blacks had lower TEE than did whites (approximately 100 kcal/d, P = 0.03), and that was explained by blacks' lower RMR. Physical activity level (TEE/RMR) did not differ significantly between sexes and races (1.70 +/- 0.23). The World Health Organization (WHO) recommendations overestimated TEE by 10 +/- 15% (P < 0.0001) in women but not in men, and the dietary reference intakes (DRIs) were accurate to 0 +/- 14% (P = 0.1). Both WHO and DRI recommendations are based on an underestimated physical activity level, and WHO recommendations are based on overestimated RMR.
CONCLUSIONS: This study of well-functioning older adults confirms the racial difference in energy metabolism and supports the use of the 2002 DRIs. Because the DRIs and WHO recommendations underestimated PAL, new predictive equations of energy requirements are proposed.

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Year:  2004        PMID: 14749238     DOI: 10.1093/ajcn/79.2.303

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


  32 in total

1.  The endeavor of high maintenance homeostasis: resting metabolic rate and the legacy of longevity.

Authors:  Carmelinda Ruggiero; Luigi Ferrucci
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2006-05       Impact factor: 6.053

2.  Light-intensity activities are important for estimating physical activity energy expenditure using uniaxial and triaxial accelerometers.

Authors:  Yosuke Yamada; Keiichi Yokoyama; Risa Noriyasu; Tomoaki Osaki; Tetsuji Adachi; Aya Itoi; Yoshihiko Naito; Taketoshi Morimoto; Misaka Kimura; Shingo Oda
Journal:  Eur J Appl Physiol       Date:  2008-10-14       Impact factor: 3.078

3.  Association between lifestyle and physical activity level in the elderly: a study using doubly labeled water and simplified physical activity record.

Authors:  Yosuke Yamada; Risa Noriyasu; Keiichi Yokoyama; Tomoaki Osaki; Tetsuji Adachi; Aya Itoi; Taketoshi Morimoto; Shingo Oda; Misaka Kimura
Journal:  Eur J Appl Physiol       Date:  2013-06-26       Impact factor: 3.078

4.  Physical activity in aging: comparison among young, aged, and nonagenarian individuals.

Authors:  Darcy L Johannsen; James P DeLany; Madlyn I Frisard; Michael A Welsch; Christina K Rowley; Xiaobing Fang; S Michal Jazwinski; Eric Ravussin
Journal:  J Appl Physiol (1985)       Date:  2008-06-12

5.  Validation of an armband to measure daily energy expenditure in older adults.

Authors:  Dawn C Mackey; Todd M Manini; Dale A Schoeller; Annemarie Koster; Nancy W Glynn; Bret H Goodpaster; Suzanne Satterfield; Anne B Newman; Tamara B Harris; Steven R Cummings
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2011-07-06       Impact factor: 6.053

6.  Exercise training improves fat metabolism independent of total energy expenditure in sedentary overweight men, but does not restore lean metabolic phenotype.

Authors:  E Lefai; S Blanc; I Momken; E Antoun; I Chery; A Zahariev; L Gabert; A Bergouignan; C Simon
Journal:  Int J Obes (Lond)       Date:  2017-07-03       Impact factor: 5.095

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.  High energy expenditure masks low physical activity in obesity.

Authors:  J P DeLany; D E Kelley; K C Hames; J M Jakicic; B H Goodpaster
Journal:  Int J Obes (Lond)       Date:  2012-10-23       Impact factor: 5.095

Review 9.  Best-fitting prediction equations for basal metabolic rate: informing obesity interventions in diverse populations.

Authors:  N S Sabounchi; H Rahmandad; A Ammerman
Journal:  Int J Obes (Lond)       Date:  2013-01-15       Impact factor: 5.095

10.  Activity energy expenditure and mobility limitation in older adults: differential associations by sex.

Authors:  Todd M Manini; James E Everhart; Kushang V Patel; Dale A Schoeller; Steve Cummings; Dawn C Mackey; Douglas C Bauer; Eleanor M Simonsick; Lisa H Colbert; Marjolein Visser; Frances Tylavsky; Anne B Newman; Tamara B Harris
Journal:  Am J Epidemiol       Date:  2009-04-21       Impact factor: 4.897

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