Actigraph-Based Physical Activity Measurement

Subjects wore an Actigraph (wGT3X-BT or wActisleep-BT, Pensacola, FL) on the non-dominant wrist for 7 days to quantify their physical activities. Subjects were instructed to complete daily logs regarding sleep time, physical activity, and any removal time. Data were downloaded and analyzed via Actilife software (Actilife 6.13.1, Pensacola, FL). Troiano algorithm and the daily logs were used to identify and remove the non-wear and sleep time from daytime physical activity calculation. The data of four valid days (wear time of at least 10 waking hours) were used for all subjects, which have been shown to be a representative for the data of 1 week [26 (link)]. Activities were divided into either sedentary/light activities or moderate to vigorous physical activities (MVPA) based on Freedson criteria [11 (link), 12 (link), 36 (link)].

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Awali A., Alsouhibani A.M, & Hoeger Bement M. (2018). Lean mass mediates the relation between temporal summation of pain and sex in young healthy adults. Biology of Sex Differences, 9, 42.

Publication 2018

wGT3X-BT wActisleep-BT

Actigraph Light Sleep Wrist

Corresponding Organization :

Other organizations : Marquette University

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Variable analysis

independent variables

Wearing an Actigraph (wGT3X-BT or wActisleep-BT) on the non-dominant wrist for 7 days

dependent variables

Physical activities quantified by the Actigraph
Sedentary/light activities
Moderate to vigorous physical activities (MVPA)

control variables

Daily logs regarding sleep time, physical activity, and any removal time
Use of Troiano algorithm and daily logs to identify and remove non-wear and sleep time from daytime physical activity calculation
Use of data from four valid days (wear time of at least 10 waking hours) for all subjects

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