scholarly journals Cross‐validation of Actigraph derived accelerometer cut‐points for assessment of sedentary behaviour and physical activity in children aged 8‐11 years

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 ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Cross Validation ◽  
Cut Points ◽  
Accelerometer Cut Points

scholarly journals Calibration and Cross-Validation of Accelerometery for Estimating Movement Skills in Children Aged 8–12 Years

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2776 ◽  
Author(s):  
Michael J. Duncan ◽  
Alexandra Dobell ◽  
Mark Noon ◽  
Cain C. T. Clark ◽  
Clare M. P. Roscoe ◽  
...  
Keyword(s):  
Sedentary Behaviour ◽  
Motor Skills ◽  
Cross Validation ◽  
Moderate Intensity ◽  
Roc Curve Analysis ◽  
Independent Dataset ◽  
Object Control ◽  
Cut Points ◽  
Accelerometer Cut Points ◽  
Children’S Physical Activity

(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.

scholarly journals Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3326
Author(s):  
Jairo H. Migueles ◽  
Cristina Cadenas-Sanchez ◽  
Juan M. A. Alcantara ◽  
Javier Leal-Martín ◽  
Asier Mañas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cross Validation ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Area Under The Curve ◽  
Cut Points ◽  
Metabolic Equivalents ◽  
Sample Characteristics ◽  
Accelerometer Cut Points

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.

scholarly journals Development of raw acceleration cut-points for wrist and hip accelerometers to assess sedentary behaviour and physical activity in 5–7-year-old children

2020 ◽  
Vol 38 (9) ◽  
pp. 1036-1045 ◽  
Author(s):  
Matteo Crotti ◽  
Lawrence Foweather ◽  
James R. Rudd ◽  
Liezel Hurter ◽  
Sebastian Schwarz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Cut Points

Comparison of MTI Accelerometer Cut-Points and a Physical Activity Log Among Adolescents

2004 ◽  
Vol 36 (Supplement) ◽  
pp. S197-S198
Author(s):  
Cheryl B. Anderson ◽  
Maria Hagstromer ◽  
Agneta Yngve ◽  
Deborah I. Thompson
Keyword(s):  
Physical Activity ◽  
Cut Points ◽  
Accelerometer Cut Points

Are Current Body Mass Index Referenced Pedometer Step-Count Recommendations Applicable to US Youth?

2008 ◽  
Vol 5 (5) ◽  
pp. 665-674 ◽  
Author(s):  
Michael W. Beets ◽  
Guy C. Le Masurier ◽  
Aaron Beighle ◽  
David A. Rowe ◽  
Charles F. Morgan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Cross Validation ◽  
Healthy Weight ◽  
Activity Data ◽  
Cut Points ◽  
Cut Point ◽  
Us Children ◽  
Unhealthy Weight ◽  
Current Body Mass Index

Background:The purpose of this study was to cross-validate international BMI-referenced steps/d cut points for US girls (12,000 steps/d) and boys (15,000 steps/d) 6 to 12 years of age.Methods:Secondary pedometer-determined physical activity data from US children (N = 1067; 633 girls and 434 boys, 6 to 12 years) were analyzed. Using international BMI classifications, cross-validation of the 12,000 and 15,000 steps/d cut points was examined by the classification precision, sensitivity, and specificity for each age–sex stratum.Results:For girls (boys) 6 to 12 years, the 12,000 (15,000) steps/d cut points correctly classified 42% to 60% (38% to 67%) as meeting (achieved steps/d cut point and healthy weight) and failing (did not achieve steps/d cut point and overweight). Sensitivity ranged from 55% to 85% (64% to 100%); specificity ranged from 23% to 62% (19% to 50%).Conclusion:The utility of pedometer steps/d cut points was minimal in this sample given their inability to differentiate among children who failed to achieve the recommended steps/d and exhibited an unhealthy weight. Caution, therefore, should be used in applying previous steps/d cut points to US children.

scholarly journals Calibration and Validation of the Youth Activity Profile as a Physical Activity and Sedentary Behaviour Surveillance Tool for English Youth

2019 ◽  
Vol 16 (19) ◽  
pp. 3711 ◽  
Author(s):  
Stuart J. Fairclough ◽  
Danielle L. Christian ◽  
Pedro F. Saint-Maurice ◽  
Paul R. Hibbing ◽  
Robert J. Noonan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Cross Validation ◽  
Self Report ◽  
School Level ◽  
Activity Profile ◽  
Sensewear Armband ◽  
Sensitivity Specificity ◽  
Youth Activity ◽  
Out Of School

Self-reported youth physical activity (PA) is typically overestimated. We aimed to calibrate and validate a self-report tool among English youth. Four-hundred-and-two participants (aged 9–16 years; 212 boys) wore SenseWear Armband Mini devices (SWA) for eight days and completed the self-report Youth Activity Profile (YAP) on the eighth day. Calibration algorithms for temporally matched segments were generated from the YAP data using quantile regression. The algorithms were applied in an independent cross-validation sample, and student- and school-level agreement were assessed. The utility of the YAP algorithms to assess compliance to PA guidelines was also examined. The school-level bias for the YAP estimates of in-school, out-of-school, and weekend moderate-to-vigorous PA (MVPA) were 17.2 (34.4), 31.6 (14.0), and −4.9 (3.6) min·week−1, respectively. Out-of-school sedentary behaviour (SB) was over-predicted by 109.2 (11.8) min·week−1. Predicted YAP values were within 15%–20% equivalence of the SWA estimates. The classification accuracy of the YAP MVPA estimates for compliance to 60 min·day−1 and 30 min·school-day−1 MVPA recommendations were 91%/37% and 89%/57% sensitivity/specificity, respectively. The YAP generated robust school-level estimates of MVPA and SB and has potential for surveillance to monitor compliance with PA guidelines. The accuracy of the YAP may be further improved through research with more representative UK samples to enhance the calibration process and to refine the resultant algorithms.

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