at the exam visit. Data from the accelerometer, expressed as 60-second epochs, were downloaded and screened for wear-time using methods described by Troiano et al. 16 Activity count-based measures (counts·d −1 and counts·min −1 ·d −1 ) were calculated using summed or averaged daily counts detected
Kelley Pettee Gabriel, Adriana Pérez, David R. Jacobs Jr, Joowon Lee, Harold W. Kohl III and Barbara Sternfeld
Alexander H.K. Montoye, Jordana Dahmen, Nigel Campbell and Christopher P. Connolly
activity counts recorded by the AG to Calorie data ( Freedson, Melanson, & Sirard, 1998 ; Sasaki, John, & Freedson, 2011 ); these are henceforth abbreviated as AG 1998 and AG 2011. Since metabolism lags behind the true metabolic cost of an activity when changing intensities ( McArdle, Katch, & Katch, 2015
Emma E. Sypes, Genevieve Newton and Zakkoyya H. Lewis
, “a wearable device that objectively measures lifestyle PA and can provide feedback, beyond the display of basic activity count information, via the monitor display or through a partnering application to elicit continual self-monitoring of activity behaviour.” 4 These devices continue to be developed
Cheryl A. Howe, Kimberly A. Clevenger, Danielle McElhiney, Camille Mihalic and Moira A. Ragan
determine the average activity counts and steps during the activities. The metabolic and accelerometry data are provided in a Supplemental Table (available online). Perceived State PA Enjoyment During the rest periods immediately following each activity, the children used the 4-item HHS to score their
Kenneth E. Powell, Abby C. King, David M. Buchner, Wayne W. Campbell, Loretta DiPietro, Kirk I. Erickson, Charles H. Hillman, John M. Jakicic, Kathleen F. Janz, Peter T. Katzmarzyk, William E. Kraus, Richard F. Macko, David X. Marquez, Anne McTiernan, Russell R. Pate, Linda S. Pescatello and Melicia C. Whitt-Glover
): 2353 – 2358 . PubMed ID: 25785930 doi:10.1249/MSS.0000000000000662 10.1249/MSS.0000000000000662 25785930 45. Wolff-Hughes DL , Fitzhugh EC , Bassett DR , Churilla JR . Total activity counts and bouted minutes of moderate-to-vigorous physical activity: relationships with cardiometabolic
Stephen Hunter, Andrei Rosu, Kylie D. Hesketh, Ryan E. Rhodes, Christina M. Rinaldi, Wendy Rodgers, John C. Spence and Valerie Carson
between neighborhood tree density with either physical activity or sedentary behavior. This contrasts the findings by Lovasi et al ( 34 ), where a greater number of trees embedded within sidewalks per neighborhood was associated with higher physical activity counts per minute in preschoolers living in New
Amherst Recent studies have used triaxial accelerometer activity counts to distinguish standing time from sitting time. Further research is needed on methods for classifying standing versus sitting using step-based metrics. Sparsely detected steps peppered into strings of 0 steps/min (i.e., zero cadence
GM competence and PA were assessed using the Bayley Scales of Infant Development – 3rd ed. and ActiGraph GT3X-BT accelerometers. PA was measured over 3 days and the average activity counts per minute at the wrist and ankle were calculated. Rate of weight gain was calculated by entering each infants
