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. 2022 Nov 28;3:989658. doi: 10.3389/fresc.2022.989658

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© 2022 Polhemus, Haag, Sieber, Sylvester, Kool, Gonzenbach and von Wyl.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Sedentary time derived from the actigraph GT3X. Sedentary time estimates derived though 120 methods. Methodological factors which affected estimates of sedentary time are noted as colored bars and labels on the x axis, including the data source [vertical vs. vector magnitude (VM) counts], filter [standard vs. low frequency extension (LFE)], sedentary cutpoint [100 counts per minute (cpm), 150 cpm, 200 cpm], inactivity period (30, 60, 90, or 180 min), and wear time algorithm (Zeros, Troiano, or Choi).