scholarly journals Cross-validation of Waist-Worn GENEA Accelerometer Cut-Points

2014 ◽  
Vol 46 (9) ◽  
pp. 1825-1830 ◽  
Author(s):  
WHITNEY A. WELCH ◽  
DAVID R. BASSETT ◽  
PATTY S. FREEDSON ◽  
DINESH JOHN ◽  
JEREMY A. STEEVES ◽  
...  
2020 ◽  
Vol 109 (9) ◽  
pp. 1825-1830 ◽  
Author(s):  
Michael J. Duncan ◽  
Emma L. J. Eyre ◽  
Val Cox ◽  
Clare M. P. Roscoe ◽  
Mark A. Faghy ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2776 ◽  
Author(s):  
Michael J. Duncan ◽  
Alexandra Dobell ◽  
Mark Noon ◽  
Cain C. T. Clark ◽  
Clare M. P. Roscoe ◽  
...  

(1) Background: This study sought to calibrate triaxial accelerometery, worn on both wrists, waist and both ankles, during children’s physical activity (PA), with particular attention to object control motor skills performed at a fast and slow cadence, and to cross-validate the accelerometer cut-points derived from the calibration using an independent dataset. (2) Methods: Twenty boys (10.1 ±1.5 years) undertook seven, five-minute bouts of activity lying supine, standing, running (4.5kmph−1) instep passing a football (fast and slow cadence), dribbling a football (fast and slow cadence), whilst wearing five GENEActiv accelerometers on their non-dominant and dominant wrists and ankles and waist. VO2 was assessed concurrently using indirect calorimetry. ROC curve analysis was used to generate cut-points representing sedentary, light and moderate PA. The cut-points were then cross-validated using independent data from 30 children (9.4 ± 1.4 years), who had undertaken similar activities whilst wearing accelerometers and being assessed for VO2. (3) Results: GENEActiv monitors were able to discriminate sedentary activity to an excellent level irrespective of wear location. For moderate PA, discrimination of activity was considered good for monitors placed on the dominant wrist, waist, non-dominant and dominant ankles but fair for the non-dominant wrist. Applying the cut-points to the cross-validation sample indicated that cut-points validated in the calibration were able to successfully discriminate sedentary behaviour and moderate PA to an excellent standard and light PA to a fair standard. (4) Conclusions: Cut-points derived from this calibration demonstrate an excellent ability to discriminate children’s sedentary behaviour and moderate intensity PA comprising motor skill activity.


Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3326
Author(s):  
Jairo H. Migueles ◽  
Cristina Cadenas-Sanchez ◽  
Juan M. A. Alcantara ◽  
Javier Leal-Martín ◽  
Asier Mañas ◽  
...  

Accelerometers’ accuracy for sedentary time (ST) and moderate-to-vigorous physical activity (MVPA) classification depends on accelerometer placement, data processing, activities, and sample characteristics. As intensities differ by age, this study sought to determine intensity cut-points at various wear locations people more than 70 years old. Data from 59 older adults were used for calibration and from 21 independent participants for cross-validation purposes. Participants wore accelerometers on their hip and wrists while performing activities and having their energy expenditure measured with portable calorimetry. ST and MVPA were defined as ≤1.5 metabolic equivalents (METs) and ≥3 METs (1 MET = 2.8 mL/kg/min), respectively. Receiver operator characteristic (ROC) analyses showed fair-to-good accuracy (area under the curve [AUC] = 0.62–0.89). ST cut-points were 7 mg (cross-validation: sensitivity = 0.88, specificity = 0.80) and 1 count/5 s (cross-validation: sensitivity = 0.91, specificity = 0.96) for the hip; 18 mg (cross-validation: sensitivity = 0.86, specificity = 0.86) and 102 counts/5 s (cross-validation: sensitivity = 0.91, specificity = 0.92) for the non-dominant wrist; and 22 mg and 175 counts/5 s (not cross-validated) for the dominant wrist. MVPA cut-points were 14 mg (cross-validation: sensitivity = 0.70, specificity = 0.99) and 54 count/5 s (cross-validation: sensitivity = 1.00, specificity = 0.96) for the hip; 60 mg (cross-validation: sensitivity = 0.83, specificity = 0.99) and 182 counts/5 s (cross-validation: sensitivity = 1.00, specificity = 0.89) for the non-dominant wrist; and 64 mg and 268 counts/5 s (not cross-validated) for the dominant wrist. These cut-points can classify ST and MVPA in older adults from hip- and wrist-worn accelerometers.


2014 ◽  
Vol 41 (5) ◽  
pp. 389-394 ◽  
Author(s):  
Michael J. Duncan ◽  
Emma L. J. Eyre ◽  
Elizabeth Bryant ◽  
Samantha L. Birch

2016 ◽  
Vol 28 (4) ◽  
pp. 427-434 ◽  
Author(s):  
Piyapa Keawutan ◽  
Kristie L. Bell ◽  
Stina Oftedal ◽  
Peter S. W. Davies ◽  
Roslyn N. Boyd

2011 ◽  
Vol 43 (7) ◽  
pp. 1360-1368 ◽  
Author(s):  
STEWART G. TROST ◽  
PAUL D. LOPRINZI ◽  
REBECCA MOORE ◽  
KARIN A. PFEIFFER

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e90630 ◽  
Author(s):  
Youngwon Kim ◽  
Jung-Min Lee ◽  
Bradley P. Peters ◽  
Glenn A. Gaesser ◽  
Gregory J. Welk

2018 ◽  
Vol 26 (1) ◽  
pp. 34-40 ◽  
Author(s):  
Liane S. Lewis ◽  
James Hernon ◽  
Allan Clark ◽  
John M. Saxton

The present study investigated the convergent validity of an interview-administered IPAQ long version (IPAQ-L) in an older population by comparison with objective accelerometry movement data. Data from 52 participants (mean age 67.9 years, 62% male) were included in the analysis. Treadmill derived (TM-ACC: 1,952–5,724 cpm) and free-living physical activity (PA) derived (FL-ACC: 760–5,724 cpm) accelerometer cut-points were used as criterion. IPAQ-L measures (total PA, leisure-time, walking-time, sedentary time) were significantly correlated with accelerometry (P ≤ .05). Differences in sex were observed. Bland-Altman Limits of Agreement analysis showed that the IPAQ-L overestimated PA in relation to accelerometry. Our results show that an interview-administered IPAQ-L shows low to moderate convergent validity with objective PA measures in this population but there may be differences between males and females which should be further investigated.


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