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. Studies with older adults consistently used 60-s epochs to summarize activity counts (see Gorman et al., 2014 ). Individual participant data were first uploaded to Microsoft Office Excel files. The accelerometers did not capture any counts greater than 15,000/min, which are regarded to be physiologically

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

activities in the previous 2 weeks ( Dirajlal-Fargo et al., 2016 ). In the second trial, participants were instructed to wear an accelerometer for 96 consecutive hours, including 2 weekdays and 2 weekend days. Accelerometers recorded several parameters of participants’ physical activity including activity

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

-worn accelerometers, unless they were uncomfortable. Since there was no planned after-school activity, only school-time data were used. The accelerometer data were collected with a sampling rate of 30 Hz, and activity counts were integrated for every 10 s (epoch). The software identified time without the

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

locations (e.g., hip vs. wrist), and data formats (e.g., raw vs. activity counts) ( Ellingson, Schwabacher, Kim, Welk, & Cook, 2016 ; Hibbing, Kim, Saint-Maurice, & Welk, 2016 ; Hildebrand, VAN Hees, Hansen, & Ekelund, 2014 ; Kim & Welk, 2015 ; Migueles et al., 2017 ). Previous work from our research

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

); latency (time in min attempting to fall asleep); and sleep efficiency (percentage of time in bed that was spent asleep). The sampling frequency was 50 Hz and the epoch of activity counts was 60 seconds. All movements greater than 0.05  g were measured, and values outside the range of 3 to 11 Hz were

). Prior evidence of reliability of the MotionWatch 8 was based on the consistency between recordings across 3 days of wear. Evidence of validity of the MotionWatch 8 was based on a consistent match between the activity counts and recorded activity performed and a statistically significant difference in