Defining accelerometer thresholds for activity intensities in adolescent girls.
By M. Treuth, Kathryn H. Schmitz, Diane Catellier, R. McMurray, D. Murray, M. J. Almeida, S. Going, James E. Norman, R. Pate. Medicine & Science in Sports & Exercise, 2004
641 citations recorded by the source corpus.
Subfields: Cell Biology, Physiology, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/f56e72f3ae2a6064d29bcaf8ab783d4d8c079027
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cell Biology
In Physiology
- Ulf Ekelund
- C. Matthews
- Søren Brage
- David Bassett
- Patty S. Freedson
- K. Evenson
- S. Crouter
- Macie S. Buchowski
In Public Health, Environmental and Occupational Health
- C. Matthews
- Ulf Ekelund
- Patty S. Freedson
- David Bassett
- Diane Catellier
- R. McMurray
- K. Evenson
- K. Ondrak
Citations in the corpus
- An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. (2009, methodology): “…between the monitor output and energy expenditure is modeled using linear regression techniques to develop a formula either to estimate energy expended in PA (PAEE) or to establish a set of “cut-points” used to determine time spent in different intensity ranges (6, 7, 9, 10, 12, 20, 22).”
- Calibration of two objective measures of physical activity for children (2008, methodology): “…counts are compared with measures of oxygen uptake (i.e. indirect calorimetry), often done in calibration studies of children (McMurray, Baggett, Harrell, Pennell, & Bangdiwala, 2004; Pfeiffer, McIver, Dowda, Almeida, & Pate, 2006; Puyau, Adolph, Vohra, & Butts, 2002; Treuth et al., 2004a).”
- Physical activity in the United States measured by accelerometer. (2008, background): “(25) for girls ages 13–14 yr, was closely approximated by the selected values for moderate intensity for these ages, suggesting that the 4-MET cut point was appropriate.”
- 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”
- Amount of time spent in sedentary behaviors in the United States, 2003-2004. (2008, methodology): “This threshold was identified in a calibration study carried out among adolescent girls (15) and was used to identify an independent association between sedentary behavior and 2-hour postload glucose measures in adults (16).”
- Association of moderate to vigorous physical activity and sedentary time with cardiometabolic risk factors in children and adolescents (2012, neutral): “6 metabolic equivalents.(27) Assessment of Anthropometry and Cardiometabolic Outcomes.”
- Reliability and validity of the combined heart rate and movement sensor Actiheart (2005, methodology): “…climbing, cycling, stepping, and during load-bearing activities, (Montoye et al, 1983; Sekioka et al, 1998; Jakicic et al, 1999; Nichols et al, 1999; Bassett et al, 2000; Hendelman et al, 2000; Brage et al, 2003b, c; Ekelund et al, 2003; Strath et al, 2003; King et al, 2004; Treuth et al, 2004).”
- Validation and Calibration of an Accelerometer in Preschool Children (2006, positive): “established significantly different cutpoints (17,30).”