The Relationship Between Accelerometer-measured Sedentary Behaviors And Physical Activity Energy Expenditure Measured By Doubly-labeled Water

2016 ◽  
Vol 48 ◽  
pp. 548
Author(s):  
Stephanie E. Bonn ◽  
Eric B. Rimm ◽  
Charles E. Matthews ◽  
Jennifer Rood ◽  
Junaidah B. Barnett ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Physical Activity Energy Expenditure ◽  
Doubly Labeled Water ◽  
Sedentary Behaviors ◽  
The Relationship ◽  
Activity Energy

Physical activity energy expenditure may mediate the relationship between plasma leptin levels and worsening insulin resistance independently of adiposity

2007 ◽  
Vol 102 (5) ◽  
pp. 1921-1926 ◽  
Author(s):  
P. W. Franks ◽  
R. J. F. Loos ◽  
S. Brage ◽  
S. O'Rahilly ◽  
N. J. Wareham ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Energy Expenditure ◽  
Energy Homeostasis ◽  
Model Assessment ◽  
Physical Activity Energy Expenditure ◽  
Linear Regression Models ◽  
The Relationship ◽  
Activity Energy

Leptin regulates a constellation of neuroendocrine processes that control energy homeostasis. The infusion of leptin in rodents lacking endogenous leptin promotes physical activity energy expenditure (PAEE) and improves insulin signaling, whereas hyperleptinemia is associated with physical inactivity and insulin resistance (IR). We tested whether baseline leptin levels predict changes in PAEE and IR over time, independent of obesity. We also assessed whether the relationship between leptin and change in IR is mediated by PAEE. The population consisted of 288 nondiabetic UK Caucasian adults (mean age: 49.4 yr; SD: 0.7 yr), in whom leptin, insulin, glucose, PAEE (via heart rate monitoring with individual calibration by indirect calorimetry), and anthropometric characteristics had been measured at baseline and 5 yr later. In linear regression models, baseline leptin levels inversely predicted follow-up PAEE ( P = 0.033). On average, individuals with low leptin levels (below sex-specific median) increased their daily activity 35% more during the 5-yr follow-up period than those with above-median leptin levels. Baseline leptin level also predicted worsening IR (fasting, 30-min, and 2-h insulins, and homeostasis model assessment-IR; all P < 0.01). Associations were independent of potential confounders, such as adiposity, age, and sex. Including baseline PAEE as a cofactor in the leptin-insulin models reduced the strength (1–4% reduction) and significance of the associations, suggesting that PAEE mediates the leptin-insulin relationships. Hyperleptinemia predicts a relative decline in PAEE and worsening insulin resistance, possibly via shared molecular pathways.

Energy requirements and physical activity in free-living older women and men: a doubly labeled water study

1998 ◽  
Vol 85 (3) ◽  
pp. 1063-1069 ◽  
Author(s):  
Raymond D. Starling ◽  
Michael J. Toth ◽  
William H. Carpenter ◽  
Dwight E. Matthews ◽  
Eric T. Poehlman
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Energy Expenditure ◽  
Older Women ◽  
Fat Free Mass ◽  
Energy Requirements ◽  
Physical Activity Energy Expenditure ◽  
Doubly Labeled Water ◽  
Free Living ◽  
Activity Energy

Determinants of daily energy needs and physical activity are unknown in free-living elderly. This study examined determinants of daily total energy expenditure (TEE) and free-living physical activity in older women ( n = 51; age = 67 ± 6 yr) and men ( n = 48; age = 70 ± 7 yr) by using doubly labeled water and indirect calorimetry. Using multiple-regression analyses, we predicted TEE by using anthropometric, physiological, and physical activity indexes. Data were collected on resting metabolic rate (RMR), body composition, peak oxygen consumption (V˙o 2 peak), leisure time activity, and plasma thyroid hormone. Data adjusted for body composition were not different between older women and men, respectively (in kcal/day): TEE, 2,306 ± 647 vs. 2,456 ± 666; RMR, 1,463 ± 244 vs. 1,378 ± 249; and physical activity energy expenditure, 612 ± 570 vs. 832 ± 581. In a subgroup of 70 women and men, RMR andV˙o 2 peakexplained approximately two-thirds of the variance in TEE ( R 2 = 0.62; standard error of the estimate = ±348 kcal/day). Crossvalidation of this equation in the remaining 29 women and men was successful, with no difference between predicted and measured TEE (2,364 ± 398 and 2,406 ± 571 kcal/day, respectively). The strongest predictors of physical activity energy expenditure ( P < 0.05) for women and men were V˙o 2 peak( r = 0.43), fat-free mass ( r = 0.39), and body mass ( r = 0.34). In summary, RMR andV˙o 2 peak are important independent predictors of energy requirements in the elderly. Furthermore, cardiovascular fitness and fat-free mass are moderate predictors of physical activity in free-living elderly.

Assessment of physical activity in older individuals: a doubly labeled water study

1999 ◽  
Vol 86 (6) ◽  
pp. 2090-2096 ◽  
Author(s):  
Raymond D. Starling ◽  
Dwight E. Matthews ◽  
Philip A. Ades ◽  
Eric T. Poehlman
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Older Women ◽  
Indirect Calorimetry ◽  
Leisure Time Physical Activity ◽  
Older Men ◽  
Daily Physical Activity ◽  
Physical Activity Energy Expenditure ◽  
Doubly Labeled Water ◽  
Activity Energy

We compared the accuracy of two physical activity recall questionnaires and a motion detector in 45- to 84-yr-old women ( n = 35) and men ( n = 32), using doubly labeled water (DLW) in conjunction with indirect calorimetry as the criterion measure. Subjects were administered the Yale Physical Activity Survey (YPAS) and Minnesota Leisure Time Physical Activity Questionnaire (LTA). Physical activity energy expenditure was determined over a 10-day period by using a Caltrac uniaxial accelerometer and DLW in conjunction with indirect calorimetry. In older women, Minnesota LTA (386 ± 228 kcal/day) and Caltrac (379 ± 162 kcal/day) underestimated physical activity by ∼55% compared with DLW (873 ± 244 kcal/day). No difference was observed between daily physical activity measured by the YPAS (863 ± 447 kcal/day) and DLW in older women. In older men, Minnesota LTA (459 ± 288 kcal/day) and Caltrac (554 ± 242 kcal/day) underestimated daily physical activity by ∼50–60% compared with DLW (1,211 ± 429 kcal/day). No difference was found between physical activity measured by the YPAS (1,107 ± 612 kcal/day) and DLW in older men. Despite no difference in mean physical activity levels between YPAS and DLW in women and men, Bland and Altman ( Lancet 1: 307–310, 1986) analyses demonstrated poor concordance between DLW and YPAS (i.e., limits of agreement = −1,310–1,518 kcal/day). Our data suggest that the Minnesota LTA recall and Caltrac uniaxial accelerometer may significantly underestimate free-living daily physical activity energy expenditure in older women and men. Although the YPAS compares favorably with DLW on a group basis, its use as a proxy measure of individual daily physical activity energy expenditure may be limited in older women and men.

Influence of Accelerometer Type and Placement on Physical Activity Energy Expenditure Prediction During WheelChair

2014 ◽  
Vol 46 ◽  
pp. 791-792
Author(s):  
Tom E. Nightingale ◽  
Jean-Philippe Walhin ◽  
Dylan Thompson ◽  
James L.J. Bilzon
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Physical Activity Energy Expenditure ◽  
Activity Energy

scholarly journals Physical Activity, Energy Expenditure and Work Intensity of Care‐Workers on Shift Work in a Special Nursing Home for the Elderly

2002 ◽  
Vol 44 (1) ◽  
pp. 8-14 ◽  
Author(s):  
Tadaaki Wakui ◽  
Setsuko Shirono ◽  
Seiichiro Takahashi ◽  
Takae Fujimura ◽  
Noriaki Harada
Keyword(s):  
Physical Activity ◽  
Nursing Home ◽  
Energy Expenditure ◽  
Shift Work ◽  
The Elderly ◽  
Physical Activity Energy Expenditure ◽  
Work Intensity ◽  
Care Workers ◽  
Intensity Of Care ◽  
Activity Energy

scholarly journals Validation of Five Minimally Obstructive Methods to Estimate Physical Activity Energy Expenditure in Young Adults in Semi-Standardized Settings

Sensors ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 6133-6151 ◽  
Author(s):  
Mikkel Schneller ◽  
Mogens Pedersen ◽  
Nidhi Gupta ◽  
Mette Aadahl ◽  
Andreas Holtermann
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Energy Expenditure ◽  
Physical Activity Energy Expenditure ◽  
Activity Energy
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