scholarly journals Validation of Physical Activity Monitors in Individuals with Diabetes: Energy Expenditure Estimation by the Multisensor SenseWear Armband Pro3 and the Step Counter Omron HJ-720 Against Indirect Calorimetry During Walking

2013 ◽  
Vol 15 (5) ◽  
pp. 413-418 ◽  
Author(s):  
Stanislav Machač ◽  
Michal Procházka ◽  
Jiří Radvanský ◽  
Kryštof Slabý
2005 ◽  
Vol 37 (Supplement) ◽  
pp. S115
Author(s):  
George A. King ◽  
Sarah E. Deemer ◽  
Bernadette M. Franco ◽  
Charlie Potter ◽  
Karen J. Coleman

2005 ◽  
Vol 37 (Supplement) ◽  
pp. S115
Author(s):  
George A. King ◽  
Sarah E. Deemer ◽  
Bernadette M. Franco ◽  
Charlie Potter ◽  
Karen J. Coleman

2015 ◽  
Vol 47 ◽  
pp. 246
Author(s):  
Glen M. Davis ◽  
Jasmine Yee ◽  
Bridget Abell ◽  
Leigh C. Ward ◽  
David Currow ◽  
...  

2016 ◽  
Vol 41 (7) ◽  
pp. 758-766 ◽  
Author(s):  
John B. Correa ◽  
John W. Apolzan ◽  
Desti N. Shepard ◽  
Daniel P. Heil ◽  
Jennifer C. Rood ◽  
...  

Activity monitors such as the Actical accelerometer, the Sensewear armband, and the Intelligent Device for Energy Expenditure and Activity (IDEEA) are commonly validated against gold standards (e.g., doubly labeled water, or DLW) to determine whether they accurately measure total daily energy expenditure (TEE) or activity energy expenditure (AEE). However, little research has assessed whether these parameters or others (e.g., posture allocation) predict body weight change over time. The aims of this study were to (i) test whether estimated energy expenditure or posture allocation from the devices was associated with weight change during and following a low-calorie diet (LCD) and (ii) compare free-living TEE and AEE predictions from the devices against DLW before weight change. Eighty-seven participants from 2 clinical trials wore 2 of the 3 devices simultaneously for 1 week of a 2-week DLW period. Participants then completed an 8-week LCD and were weighed at the start and end of the LCD and 6 and 12 months after the LCD. More time spent walking at baseline, measured by the IDEEA, significantly predicted greater weight loss during the 8-week LCD. Measures of posture allocation demonstrated medium effect sizes in their relationships with weight change. Bland–Altman analyses indicated that the Sensewear and the IDEEA accurately estimated TEE, and the IDEEA accurately measured AEE. The results suggest that the ability of energy expenditure and posture allocation to predict weight change is limited, and the accuracy of TEE and AEE measurements varies across activity monitoring devices, with multi-sensor monitors demonstrating stronger validity.


2008 ◽  
Vol 33 (6) ◽  
pp. 1155-1164 ◽  
Author(s):  
Mark G. Abel ◽  
James C. Hannon ◽  
Katie Sell ◽  
Tia Lillie ◽  
Geri Conlin ◽  
...  

Accelerometer-based activity monitors are commonly used by researchers and clinicians to assess physical activity. Recently, the Kenz Lifecorder EX (KL) and ActiGraph GT1M (AG) accelerometers have been made commercially available, but there is limited research on the validity of these devices. Therefore, we sought to validate step count, activity energy expenditure (EE), and total EE output from the KL and AG during treadmill walking and running. Ten male and 10 female participants performed 10 min treadmill walking and running trials, at speeds of 54, 80, 107, 134, 161, and 188 m·min–1. Step counts were hand tallied by 2 observers, and indirect calorimetry was used to validate the accelerometers’ estimates of EE. AG total EE was calculated using the Freedson equation. Analysis of variance (ANOVA) and Pearson’s correlations were used to analyze the data. At the slowest walking speed, the AG and KL counted 64% ± 15% and 92% ± 6% of the observed steps, respectively. At all other treadmill speeds, both activity monitors undercounted, compared with observed steps, by ≤3%. The KL underestimated activity EE at faster running speeds (p < 0.01), overestimated total EE at some walking speeds, and underestimated total EE at some running speeds (p < 0.01). The Freedson equation inaccurately measured total EE at most walking and running speeds. The KL and the AG are moderately priced accelerometers that provide researchers and clinicians with accurate estimates of step counts and activity EE at most walking and running speeds.


2013 ◽  
Vol 45 (11) ◽  
pp. 2105-2112 ◽  
Author(s):  
KATHRYN L. DANNECKER ◽  
NADEZHDA A. SAZONOVA ◽  
EDWARD L. MELANSON ◽  
EDWARD S. SAZONOV ◽  
RAYMOND C. BROWNING

2015 ◽  
Vol 12 (2) ◽  
pp. 178-183 ◽  
Author(s):  
Gianluca Vernillo ◽  
Aldo Savoldelli ◽  
Barbara Pellegrini ◽  
Federico Schena

Background:Accurate assessments of physical activity and energy expenditure (EE) are needed to advance research on positive and negative graded walking.Purpose:To evaluate the validity of 2 SenseWear Armband monitors (Pro3 and the recently released Mini) during graded walking.Methods:Twenty healthy adults wore both monitors during randomized walking activities on a motorized treadmill at 7 grades (0%, ±5%, ±15%, and ±25%). Estimates of total EE from the monitors were computed using different algorithms and compared with values derived from indirect calorimetry methodology using a 2-way mixed model ANOVA (Device × Condition), correlation analyses and Bland-Altman plots.Results:There was no significant difference in EE between the 2 armbands in any of the conditions examined. Significant main effects for device and condition, as well as a consistent bias, were observed during positive and negative graded walking with a greater over- and under-estimation at higher slope.Conclusions:Both the armbands produced similar EE values and seem to be not accurate in estimation of EE during activities involving uphill and downhill walking. Additional work is needed to understand factors contributing to this discrepancy and to improve the ability of these monitors to accurately measure EE during graded walking.


2008 ◽  
Vol 40 (Supplement) ◽  
pp. S198 ◽  
Author(s):  
Lauren A. Ewalt ◽  
Ann M. Swartz ◽  
Scott J. Strath ◽  
Nora E. Miller ◽  
Keith P. Gennuso ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document