Assessment of Physical Activity Pattern, Activity Coefficient, Basal Metabolic Rate and Daily Energy Expenditure in Female University Students

2013 ◽  
Vol 18 (1) ◽  
pp. 45 ◽  
Author(s):  
Yoonji Park ◽  
Jung Hee Kim
1991 ◽  
Vol 63 (3-4) ◽  
pp. 184-187 ◽  
Author(s):  
Natalie Alm�ras ◽  
Nancy Mimeault ◽  
Olivier Serresse ◽  
Marcel R. Boulay ◽  
Angelo Tremblay

The Condor ◽  
2000 ◽  
Vol 102 (3) ◽  
pp. 635-644 ◽  
Author(s):  
Sheldon J. Cooper

Abstract I used behavioral, meteorological, and laboratory metabolism data to calculate daily energy expenditure (DEE) in seasonally acclimatized Mountain Chickadees (Poecile gambeli) and Juniper Titmice (Baeolophus griseus). Analyses of laboratory metabolic data revealed that foraging energy requirements were not significantly higher than alert perching energy requirements. Respective DEE of chickadees and titmice were 48.8 kJ day−1 and 48.3 kJ day−1 in summer and 66.3 kJ day−1 and 98.7 kJ day−1 in winter. DEE as a multiple of basal metabolic rate (BMR) was 2.31 in summer chickadees and 1.91 in summer titmice. DEE was 2.70 times BMR in winter chickadees and 3.43 times BMR in winter titmice. The marked increase in calculated DEE in winter birds compared to summer is in contrast to a pattern of increased DEE in the breeding season for several avian species. These data suggest that winter may be a period of even greater stringency for small birds than previously believed.


1997 ◽  
Vol 70 (3) ◽  
pp. 362-369 ◽  
Author(s):  
Peter Meerlo ◽  
Loes Bolle ◽  
G. Henk Visser ◽  
Dirkjan Masman ◽  
Serge Daan

1997 ◽  
Vol 273 (2) ◽  
pp. E321-E327 ◽  
Author(s):  
B. Morio ◽  
B. Beaufrere ◽  
C. Montaurier ◽  
E. Verdier ◽  
P. Ritz ◽  
...  

Gender effects on energy expended during light seated activities, walking, cycling, and sleep and their consequences on daily energy expenditure (EE) were examined in 11 men and 15 women aged 66.4 +/- 7.1 yr. Two open-circuit whole body calorimeters were used for EE measurements, except for cycling, during which EE was measured separately with the use of a face mask. Lean body mass (determined using H218O dilution method), fat mass, usual physical activity level, and activity intensity (e.g., walking speed and cycling power output) were taken as covariates in the analysis of EE variations before studying gender effects. Sleeping metabolic rate (SMR) and daily EE, adjusted for differences in all covariates, were 11.2 (P = 0.005) and 8.7% (P = 0.071) lower in women than in men, respectively. No gender-related differences were found in the various physical activity EEs above SMR (e.g., gross EE-SMR) [light seated activities (P = 0.790), walking (P = 0.263), and cycling (P = 0.287)] and daily physical activity EE above SMR (P = 0.587) after adjustment for differences in all covariates. Therefore, the lower adjusted daily EE of women could be related to their lower SMR, the most reliable criterion of whole body metabolic rate.


2003 ◽  
Vol 62 (3) ◽  
pp. 645-650 ◽  
Author(s):  
Klaas R. Westerterp

Activity intensity is a potential determinant of activity-induced energy expenditure. Tri-axial accelerometery is the most objective measurement technique for the assessment of activity intensity, in combination with doubly-labelled water for the measurement of energy expenditure under free-living conditions. Data on the effects of subject characteristics, including body size and age, and exercise training on the relationship between activity intensity and daily energy expenditure are reviewed. Average daily metabolic rate and non-basal energy expenditure are positively related to body size. The duration and intensity of physical activities do not need to be equivalent to the energy spent on activity. Obese subjects spend more energy on physical activity but can perform fewer activities, especially high-intensity (weight-bearing) activities, because of their higher body weight. Physical activity generally declines gradually from about 60 years of age onwards. Most subjects >80 years have an activity level well below the level defined for sedentary middle-aged adults. Spending relatively more time on low-intensity activities has a negative effect on the mean physical activity level. To obtain a higher physical activity level does not necessarily imply high-intensity activities. In an average subject 25% of the activity-induced energy expenditure may be attributed to high-intensity activities. Exercise training, as a form of high-intensity activity, affects the physical activity level more in younger subjects than in elderly subjects.


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