2021
DOI: 10.1371/journal.pone.0251544
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Applying time series analyses on continuous accelerometry data—A clinical example in older adults with and without cognitive impairment

Abstract: Introduction Many clinical studies reporting accelerometry data use sum score measures such as percentage of time spent in moderate to vigorous activity which do not provide insight into differences in activity patterns over 24 hours, and thus do not adequately depict circadian activity patterns. Here, we present an improved functional data analysis approach to model activity patterns and circadian rhythms from accelerometer data. As a use case, we demonstrated its application in patients with mild cognitive i… Show more

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Cited by 4 publications
(11 citation statements)
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References 43 publications
(57 reference statements)
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“…A total of 14 (42%) papers addressed reasons for loss of data and issues with adherence to protocol, including technical issues (n=5, 36%) [30][31][32][33][34], participants removing or refusing to wear devices (n=6, 43%) [30,33,[35][36][37][38], insufficient data collected (n=8, 57%; <10 hours per day for 8/14 days [39]; <80% daily wear time [40]; <3 days [31]; <10 hours per day for at least 3 days [41]; <7 days [15]; <6 consecutive days [33]; incomplete recorded days [34,40]), lost devices (n=2, 14%) [15,33], organizational issues (n=2, 14%) [15,33], forgetting to wear the device (n=1, 7%) [42], and hospitalization during the data collection period (n=1, 7%) [38].…”
Section: Measuring Physical Activity In Community Dwellers With Cogni...mentioning
confidence: 99%
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“…A total of 14 (42%) papers addressed reasons for loss of data and issues with adherence to protocol, including technical issues (n=5, 36%) [30][31][32][33][34], participants removing or refusing to wear devices (n=6, 43%) [30,33,[35][36][37][38], insufficient data collected (n=8, 57%; <10 hours per day for 8/14 days [39]; <80% daily wear time [40]; <3 days [31]; <10 hours per day for at least 3 days [41]; <7 days [15]; <6 consecutive days [33]; incomplete recorded days [34,40]), lost devices (n=2, 14%) [15,33], organizational issues (n=2, 14%) [15,33], forgetting to wear the device (n=1, 7%) [42], and hospitalization during the data collection period (n=1, 7%) [38].…”
Section: Measuring Physical Activity In Community Dwellers With Cogni...mentioning
confidence: 99%
“…Of the 13 (39%) studies reporting HPA in MCI, 8 (62%) characterized volumes [32,34,40,41,[43][44][45][46][47]. The most common volume metric was steps per day (n=5, 39%), with mean/median averages ranging between 3407 and 12,256 steps [40,41,43,44,46,47].…”
Section: Measurementmentioning
confidence: 99%
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