Harmonization of three different accelerometers to classify the 24 h activity cycle.

Autor:	Boudreaux BD; Columbia University Irving Medical Center, New York, NY 10032-3784, United States of America., Frederick GM; University of Georgia, United States of America., O'Connor PJ; University of Georgia, United States of America., Evans EM; Indiana University, United States of America., Schmidt MD; University of Georgia, United States of America.
Jazyk:	angličtina
Zdroj:	Physiological measurement [Physiol Meas] 2024 Apr 11; Vol. 45 (4). Date of Electronic Publication: 2024 Apr 11.
DOI:	10.1088/1361-6579/ad37ed
Abstrakt:	Increasing interest in measuring key components of the 24 h activity cycle (24-HAC) [sleep, sedentary behavior (SED), light physical activity (LPA), and moderate to vigorous physical activity (MVPA)] has led to a need for better methods. Single wrist-worn accelerometers and different self-report instruments can assess the 24-HAC but may not accurately classify time spent in the different components or be subject to recall errors. Objective . To overcome these limitations, the current study harmonized output from multiple complimentary research grade accelerometers and assessed the feasibility and logistical challenges of this approach. Approach . Participants ( n = 108) wore an: (a) ActiGraph GT9X on the wrist, (b) activPAL3 on the thigh, and (c) ActiGraph GT3X+ on the hip for 7-10 d to capture the 24-HAC. Participant compliance with the measurement protocol was compared across devices and an algorithm was developed to harmonize data from the accelerometers. The resulting 24-HAC estimates were described within and across days. Main results . Usable data for each device was obtained from 94.3% to 96.7% of participants and 89.4% provided usable data from all three devices. Compliance with wear instructions ranged from 70.7% of days for the GT3X+ to 93.2% of days for the activPAL3. Harmonized estimates indicated that, on average, university students spent 34% of the 24 h day sleeping, 41% sedentary, 21% in LPA, and 4% in MVPA. These behaviors varied substantially by time of day and day of the week. Significance . It is feasible to use three accelerometers in combination to derive a harmonized estimate the 24-HAC. The use of multiple accelerometers can minimize gaps in 24-HAC data however, factors such as additional research costs, and higher participant and investigator burden, should also be considered. (Creative Commons Attribution license.)
Databáze:	MEDLINE
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