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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | McClain, James J. Dodd, Kevin W. Steeves, Jeremy A. Chen, Kong Y. Brychta, Robert J. Wang, Juan Bowles, Heather R. |
| Description | Country affiliation: Moldova Author Affiliation: Steeves JA ( 1Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Rockville, MD) |
| Abstract | PURPOSE: This study compared sitting, standing, and stepping classifications from thigh-worn ActiGraph and activPAL monitors under laboratory and free-living conditions. METHODS: Adults wore both monitors on the right thigh while performing activities (six sitting, two standing, nine stepping, and one cycling) and writing on a whiteboard with intermittent stepping under laboratory conditions (n = 21) and under free-living conditions for 3 d (n = 18). Percent time correctly classified was calculated under laboratory conditions. Between-monitor agreement and weighted κ were calculated under free-living conditions. RESULTS: In the laboratory, both monitors correctly classified 100% of standing time and >95% of the time spent in four of six sitting postures. Both monitors demonstrated misclassification of laboratory stool sitting time (ActiGraph 14% vs. activPAL 95%). ActivPAL misclassified 14% of the time spent sitting with legs outstretched; ActiGraph was 100% accurate. Monitors were >95% accurate for stepping, although ActiGraph was less so for descending stairs (86%), ascending stairs (92%), and running at 2.91 m·s(-1) (93%). Monitors classified whiteboard writing differently (ActiGraph 83% standing/15% stepping vs. activPAL 98% standing/2% stepping). ActivPAL classified 93% of cycling time as stepping, whereas ActiGraph classified <1% of cycling time as stepping. During free-living wear, monitors had substantial agreement (86% observed; weighted κ = 0.77). Monitors classified similar amounts of time as sitting (ActiGraph 64% vs. activPAL 62%). There were differences in time recorded as standing (ActiGraph 21% vs. activPAL 27%) and stepping (ActiGraph 15% vs. activPAL 11%). CONCLUSIONS: Differences in data processing algorithms may have resulted in the observed disagreement in posture and activity classification between thigh-worn ActiGraph and activPAL. Despite between-monitor agreement in classifying sitting time under free-living conditions, ActiGraph appears to be more sensitive to free-living upright walking motions than activPAL. |
| ISSN | 01959131 |
| Issue Number | 5 |
| Volume Number | 47 |
| e-ISSN | 15300315 |
| Journal | Medicine & Science in Sports & Exercise |
| Language | English |
| Publisher | Lippincott Williams & Wilkins (on behalf of the American College of Sports Medicine) |
| Publisher Date | 2015-05-01 |
| Publisher Place | United States |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Accelerometry Methods Motor Activity Posture Activities Of Daily Living Adult Algorithms Automatic Data Processing Female Humans Male Middle Aged Thigh Young Adult Journal Article Research Support, N.i.h., Intramural Discipline Sports Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Orthopedics and Sports Medicine Physical Therapy, Sports Therapy and Rehabilitation Sports Science |
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