Comparison of wrist accelerometer cut-points for classifying physical activity intensity in youth

2017 ◽  
Vol 20 ◽  
pp. e104-e105 ◽  
Author(s):  
S. Trost ◽  
K. Rice ◽  
K. Pfeiffer
Keyword(s):  
Physical Activity ◽  
Physical Activity Intensity ◽  
Cut Points ◽  
Activity Intensity ◽  
Accelerometer Cut Points

scholarly journals Generation and validation of ActiGraph GT3X+ accelerometer cut-points for assessing physical activity intensity in older adults. The OUTDOOR ACTIVE validation study

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252615
Author(s):  
Karin Bammann ◽  
Nicola K. Thomson ◽  
Birte Marie Albrecht ◽  
Duncan S. Buchan ◽  
Chris Easton
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Age Groups ◽  
Physical Activity Intensity ◽  
Convenience Sample ◽  
Cut Points ◽  
Everyday Activities ◽  
Activity Intensity ◽  
Study Participants ◽  
Accelerometer Cut Points

The study of physical activity in older adults is becoming more and more relevant. For evaluation of physical activity recommendations, intensity-specific accelerometer cut-points are utilized. However, research on accelerometer cut-points for older adults is still scarce. The aim of the study was to generate placement-specific cut-points of ActiGraph GT3X+ activity counts and raw measures of acceleration to determine physical activity intensity in older adults. A further aim was to compare the validity of the generated cut-points for a range of different physical activities. The study was a single experimental trial using a convenience sample. Study participants were 20 adults aged 59 to 73 years. Accelerometers were worn at six different placements (one on each wrist, one on each ankle, and two at the hip) and breath-by-breath indirect calorimetry was used as the reference for energy. The experiment comprised of two parts; a) The first required participants to walk on a treadmill at incremental speeds (3.0–5.0 km·h-1), and b) Five different everyday activities (reading, cleaning, shopping, cycling, aerobics) were staged in the laboratory setting. Accelerometer cut-points (activity counts, raw data) were derived for each of the investigated placements by linear regression using the treadmill part. Performance of the cut-points was assessed by applying the cut-points to the everyday activities. We provide cut-points for six placements and two accelerometer metrics in the specific age group. However, the derived cut-points did not outperform published ones. More research and innovative approaches are needed for improving internal and external validity of research results across populations and age groups.

Comparison Of Accelerometer Cut-Points For Predicting Physical Activity Intensity In Youth

2009 ◽  
Vol 41 ◽  
pp. 173
Author(s):  
Stewart G. Trost ◽  
Paul D. Loprinzi ◽  
Meghan Senso ◽  
Karin A. Pfeiffer
Keyword(s):  
Physical Activity ◽  
Physical Activity Intensity ◽  
Cut Points ◽  
Activity Intensity ◽  
Accelerometer Cut Points

scholarly journals Ability of RT3 Accelerometer Cut Points to Detect Physical Activity Intensity in Ambulatory Children With Cerebral Palsy

2014 ◽  
Vol 31 (4) ◽  
pp. 310-324 ◽  
Author(s):  
Jennifer Ryan ◽  
Michael Walsh ◽  
John Gormley
Keyword(s):  
Physical Activity ◽  
Cerebral Palsy ◽  
Vigorous Physical Activity ◽  
Accelerometer Data ◽  
Physical Activity Intensity ◽  
Cut Points ◽  
Cut Point ◽  
Activity Intensity ◽  
Metabolic Equivalents ◽  
Children With Cerebral Palsy

This study investigated the ability of published cut points for the RT3 accelerometer to differentiate between levels of physical activity intensity in children with cerebral palsy (CP). Oxygen consumption (metabolic equivalents; METs) and RT3 data (counts/min) were measured during rest and 5 walking trials. METs and corresponding counts/min were classified as sedentary, light physical activity (LPA), and moderate to vigorous physical activity (MVPA) according to MET thresholds. Counts were also classified according to published cut points. A published cut point exhibited an excellent ability to classify sedentary activity (sensitivity = 89.5%, specificity = 100.0%). Classification accuracy decreased when published cut points were used to classify LPA (sensitivity = 88.9%, specificity = 79.6%) and MVPA (sensitivity = 70%, specificity = 95–97%). Derivation of a new cut point improved classification of both LPA and MVPA. Applying published cut points to RT3 accelerometer data collected in children with CP may result in misclassification of LPA and MVPA.

scholarly journals Actigraph GT3X: Validation and Determination of Physical Activity Intensity Cut Points

2013 ◽  
Vol 34 (11) ◽  
pp. 975-982 ◽  
Author(s):  
A. Santos-Lozano ◽  
F. Santín-Medeiros ◽  
G. Cardon ◽  
G. Torres-Luque ◽  
R. Bailón ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Intensity ◽  
Cut Points ◽  
Activity Intensity

Comparison of ActiGraph cut-points for predicting physical activity intensity in preschool children

2012 ◽  
Vol 15 ◽  
pp. S66 ◽  
Author(s):  
X. Janssen ◽  
D. Cliff ◽  
T. Okely ◽  
T. Hinkley ◽  
J. Reilly ◽  
...  
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Physical Activity Intensity ◽  
Cut Points ◽  
Activity Intensity
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