The REDCap Database was supported by TR000445 from the National Center for Advancing Translational Sciences. Additional funds were provided by grants DK058404 and DK20593 from the National Institute of Diabetes and Digestive and Kidney Diseases. įunding: This study was supported by the National Institutes of Health (NIH) grants HL103620 and HL103561 from the National Heart, Lung, and Blood Institute and the Eunice Kennedy Shriver National Institute of Child Health and Development, and the Office of Behavioral and Social Sciences Research. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All raw data files are available from the Figshare database: and. Received: SeptemAccepted: JanuPublished: January 28, 2021Ĭopyright: © 2021 Tracy et al. PLoS ONE 16(1):Įditor: Raffaele Ferri, Associazione OASI Maria SS, ITALY DT's performance with optimized parameters was compared with the visual identification, commonly used Sadeh’s sleep detection algorithm, DT for youth (10-18-years-old), and parental survey of sleep duration in the validation group.Ĭitation: Tracy JD, Donnelly T, Sommer EC, Heerman WJ, Barkin SL, Buchowski MS (2021) Identifying bedrest using waist-worn triaxial accelerometers in preschool children. To automate visual identification, chosen decision tree (DT) parameters ( block length, threshold, bedrest-start trigger, and bedrest-end trigger) were optimized in the development group using a Nelder-Mead simplex optimization method, which maximized the accuracy of DT-identified bedrest in 1-min epochs against synchronized visually identified bedrest (n = 4,730,734). Wear periods from accelerometer recordings were identified minute-by-minute as bedrest or wake using visual identification by two independent raters. Children with ≥3 nights of valid recordings were randomly allocated to the development (n = 200) and validation (n = 200) groups. Parents of healthy preschool (3-6-year-old) children (n = 610 294 males) were asked to help them to wear an accelerometer for 7 to 10 days and 24 hours/day on their waist.
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