Literature DB >> 24263980

Assessing sedentary behavior with the GENEActiv: introducing the sedentary sphere.

Alex V Rowlands1, Tim S Olds, Melvyn Hillsdon, Richard Pulsford, Tina L Hurst, Roger G Eston, Sjaan R Gomersall, Kylie Johnston, Joss Langford.   

Abstract

BACKGROUND: The Sedentary Sphere is a method for the analysis, identification, and visual presentation of sedentary behaviors from a wrist-worn triaxial accelerometer.
PURPOSE: This study aimed to introduce the concept of the Sedentary Sphere and to determine the accuracy of posture classification from wrist accelerometer data.
METHODS: Three samples were used: 1) free living (n = 13, ages 20-60 yr); 2) laboratory based (n = 25, ages 30-65 yr); and 3) hospital inpatients (n = 10, ages 60-90 yr). All participants wore a GENEActiv on their wrist and activPAL on their thigh. The free-living sample wore an additional GENEActiv on the thigh and completed the Multimedia Activity Recall for Children and Adults. The laboratory-based sample wore the monitors while seated at a desk for 7 h, punctuated by 2 min of walking every 20 min. The free-living and inpatient samples wore the monitors for 24 h. Posture was classified from wrist-worn accelerometry using the Sedentary Sphere concept.
RESULTS: Sitting time did not differ between the wrist GENEActiv and the activPAL in the free-living sample and was correlated in the three samples combined (rho = 0.9, P < 0.001), free-living and inpatient samples (r ≃ 0.8, P < 0.01). Mean intraindividual agreement was 85% ± 7%. In the laboratory-based and inpatient samples, sitting time was underestimated by the wrist GENEActiv by 30 min and 2 h relative to the activPAL, respectively (P < 0.05). Posture classification disagreed during reading while standing, cooking while standing, and brief periods during driving. Posture allocation validity was excellent when the GENEActiv was worn on the thigh, evidenced by the near-perfect agreement with the activPAL (96% ± 3%).
CONCLUSIONS: The Sedentary Sphere enables determination of the most likely posture from the wrist-worn GENEActiv. Visualizing behaviors on the sphere displays the pattern of wrist movement and positions within that behavior.

Entities:  

Mesh:

Year:  2014        PMID: 24263980     DOI: 10.1249/MSS.0000000000000224

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  37 in total

Review 1.  The emergence of sedentary behaviour physiology and its effects on the cardiometabolic profile in young and older adults.

Authors:  D J Ryan; G K Stebbings; G L Onambele
Journal:  Age (Dordr)       Date:  2015-08-28

2.  Wrist-based cut-points for moderate- and vigorous-intensity physical activity for the Actical accelerometer in adults.

Authors:  Keith M Diaz; David J Krupka; Melinda J Chang; Ian M Kronish; Natalie Moise; Jeff Goldsmith; Joseph E Schwartz
Journal:  J Sports Sci       Date:  2017-02-23       Impact factor: 3.337

Review 3.  Evolution of accelerometer methods for physical activity research.

Authors:  Richard P Troiano; James J McClain; Robert J Brychta; Kong Y Chen
Journal:  Br J Sports Med       Date:  2014-04-29       Impact factor: 13.800

4.  Measuring activity in patients with sarcoidosis - a pilot trial of two wrist-worn accelerometer devices.

Authors:  Christopher P Atkins; Andy P Jones; Andrew M Wilson
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2018-04-28       Impact factor: 0.670

5.  Daily physical activity patterns from hip- and wrist-worn accelerometers.

Authors:  E J Shiroma; M A Schepps; J Harezlak; K Y Chen; C E Matthews; A Koster; P Caserotti; N W Glynn; T B Harris
Journal:  Physiol Meas       Date:  2016-09-21       Impact factor: 2.833

6.  Comparison of Sedentary Estimates between activPAL and Hip- and Wrist-Worn ActiGraph.

Authors:  Annemarie Koster; Eric J Shiroma; Paolo Caserotti; Charles E Matthews; Kong Y Chen; Nancy W Glynn; Tamara B Harris
Journal:  Med Sci Sports Exerc       Date:  2016-08       Impact factor: 5.411

7.  Assessment of Physical Activity of Hospitalised Older Adults: A Systematic Review.

Authors:  S E R Lim; K Ibrahim; A A Sayer; H C Roberts
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

8.  Comparison of physical activity assessed using hip- and wrist-worn accelerometers.

Authors:  Masamitsu Kamada; Eric J Shiroma; Tamara B Harris; I-Min Lee
Journal:  Gait Posture       Date:  2015-11-12       Impact factor: 2.840

9.  Wrist Accelerometer Cut Points for Classifying Sedentary Behavior in Children.

Authors:  Christiana M T VAN Loo; Anthony D Okely; Marijka J Batterham; Trina Hinkley; Ulf Ekelund; Søren Brage; John J Reilly; Stewart G Trost; Rachel A Jones; Xanne Janssen; Dylan P Cliff
Journal:  Med Sci Sports Exerc       Date:  2017-04       Impact factor: 5.411

10.  Is there a bidirectional association between sedentary behaviour and cognitive decline in older adults? Findings from the Irish Longitudinal Study on Ageing.

Authors:  Carlijn M Maasakkers; Jurgen A H R Claassen; Siobhan Scarlett; Dick H J Thijssen; Rose Anne Kenny; Joanne Feeney; René J F Melis
Journal:  Prev Med Rep       Date:  2021-07-01
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