Validation and calibration of physical activity monitors in children.

By M. Puyau, A. Adolph, F. Vohra, N. Butte. Obesity Research, 2002

1,112 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Physiology, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/e6d3bb6d5ed13779ef8c9e513bdfa340a0ee6c5b

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In Developmental and Educational Psychology

In Physiology

In Public Health, Environmental and Occupational Health

Citations in the corpus

Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations (2017, neutral): “PAEE [20, 22, 27, 82] [12, 20, 21, 68, 74, 75, 95, 106] NF NF [22] NF”
Validation and Calibration of an Accelerometer in Preschool Children (2006, background): “established significantly different cutpoints (17,30).”
Calibration of two objective measures of physical activity for children (2008, background): “This omnidirectional sensor is sensitive to movement in all directions, but most sensitive in the direction parallel with the longest dimension of the case (Pfeiffer et al., 2006; Puyau et al., 2002).”
Defining accelerometer thresholds for activity intensities in adolescent girls. (2004, methodology): “Based upon our experience in determining the moderate activity threshold using the Actigraph accelerometer, the cut-points for the other intensity levels were established in the same manner.”
Associations among children's situational motivation, physical activity participation, and enjoyment in an active dance video game (2013, methodology): “Cut points established by Puyau et al. 22 were applied to the data: (a) 0 e 399 counts per 30 s ¼ sedentary; (b) 400 e 1599 counts per 30 s ¼ light; and (c) (cid”
Assessment of physical activity in youth. (2008, background): “Intensity thresholds for moderate and vigorous intensity physical activity, derived specifically for use in young people, vary widely from between 615 to 3,200 counts/min even with the same accelerometer model (8, 70, 80).”
Standardizing and Optimizing the Use of Accelerometer Data for Free-Living Physical Activity Monitoring (2005, background): “Although some preliminary work has been done to adjust movement count interpretation across age during childhood, the work has been anchored to chronological age.(14,34) Clearly, more work is required to understand the effects of changes in growth and maturation particularly for longitudinal or long”