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  • American Physiological Society  (2)
  • 1
    Online Resource
    Online Resource
    Metabolic equivalent: one size does not fit all
    American Physiological Society ; 2005
    In:  Journal of Applied Physiology Vol. 99, No. 3 ( 2005-09), p. 1112-1119
    Details
    In: Journal of Applied Physiology, American Physiological Society, Vol. 99, No. 3 ( 2005-09), p. 1112-1119
    Abstract: The metabolic equivalent (MET) is a widely used physiological concept that represents a simple procedure for expressing energy cost of physical activities as multiples of resting metabolic rate (RMR). The value equating 1 MET (3.5 ml O 2 ·kg −1 ·min −1 or 1 kcal·kg −1 ·h −1 ) was first derived from the resting O 2 consumption (V̇o 2 ) of one person, a 70-kg, 40-yr-old man. Given the extensive use of MET levels to quantify physical activity level or work output, we investigated the adequacy of this scientific convention. Subjects consisted of 642 women and 127 men, 18–74 yr of age, 35–186 kg in weight, who were weight stable and healthy, albeit obese in some cases. RMR was measured by indirect calorimetry using a ventilated hood system, and the energy cost of walking on a treadmill at 5.6 km/h was measured in a subsample of 49 men and 49 women (26–45 kg/m 2 ; 29–47 yr). Average V̇o 2 and energy cost corresponding with rest (2.6 ± 0.4 ml O 2 ·kg −1 ·min −1 and 0.84 ± 0.16 kcal·kg −1 ·h −1 , respectively) were significantly lower than the commonly accepted 1-MET values of 3.5 ml O 2 ·kg −1 ·min −1 and 1 kcal·kg −1 ·h −1 , respectively. Body composition (fat mass and fat-free mass) accounted for 62% of the variance in resting V̇o 2 compared with age, which accounted for only 14%. For a large heterogeneous sample, the 1-MET value of 3.5 ml O 2 ·kg −1 ·min −1 overestimates the actual resting V̇o 2 value on average by 35%, and the 1-MET of 1 kcal/h overestimates resting energy expenditure by 20%. Using measured or predicted RMR (ml O 2 ·kg −1 ·min −1 or kcal·kg −1 ·h −1 ) as a correction factor can appropriately adjust for individual differences when estimating the energy cost of moderate intensity walking (5.6 km/h).
    Type of Medium: Online Resource
    ISSN: 8750-7587 , 1522-1601
    URL: Article
    DOI: 10.1152/japplphysiol.00023.2004
    RVK:
    WA 15000
    RVK:
    XA 52094
    Language: English
    Publisher: American Physiological Society
    Publication Date: 2005
    detail.hit.zdb_id: 1404365-8
    SSG: 12
    SSG: 31
    Location Call Number Limitation Availability
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women
    American Physiological Society ; 2013
    In:  Journal of Applied Physiology Vol. 115, No. 8 ( 2013-10-15), p. 1156-1162
    Details
    In: Journal of Applied Physiology, American Physiological Society, Vol. 115, No. 8 ( 2013-10-15), p. 1156-1162
    Abstract: Lean body mass (LBM) and muscle mass remain difficult to quantify in large epidemiological studies due to the unavailability of inexpensive methods. We therefore developed anthropometric prediction equations to estimate the LBM and appendicular lean soft tissue (ALST) using dual-energy X-ray absorptiometry (DXA) as a reference method. Healthy volunteers ( n = 2,220; 36% women; age 18-79 yr), representing a wide range of body mass index (14–44 kg/m 2 ), participated in this study. Their LBM, including ALST, was assessed by DXA along with anthropometric measurements. The sample was divided into prediction (60%) and validation (40%) sets. In the prediction set, a number of prediction models were constructed using DXA-measured LBM and ALST estimates as dependent variables and a combination of anthropometric indices as independent variables. These equations were cross-validated in the validation set. Simple equations using age, height, and weight explained 〉 90% variation in the LBM and ALST in both men and women. Additional variables (hip and limb circumferences and sum of skinfold thicknesses) increased the explained variation by 5–8% in the fully adjusted models predicting LBM and ALST. More complex equations using all of the above anthropometric variables could predict the DXA-measured LBM and ALST accurately, as indicated by low standard error of the estimate (LBM: 1.47 kg and 1.63 kg for men and women, respectively), as well as good agreement by Bland-Altman analyses (Bland JM, Altman D. Lancet 1: 307–310, 1986). These equations could be a valuable tool in large epidemiological studies assessing these body compartments in Indians and other population groups with similar body composition.
    Type of Medium: Online Resource
    ISSN: 8750-7587 , 1522-1601
    URL: Article
    DOI: 10.1152/japplphysiol.00777.2013
    RVK:
    WA 15000
    RVK:
    XA 52094
    Language: English
    Publisher: American Physiological Society
    Publication Date: 2013
    detail.hit.zdb_id: 1404365-8
    SSG: 12
    SSG: 31
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
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