Literature DB >> 31325738

Quantifying sit-to-stand and stand-to-sit transitions in free-living environments using the activPAL thigh-worn activity monitor.

Chris G Pickford1, Andrew H Findlow2, Andy Kerr3, Matthew Banger3, Alexandra M Clarke-Cornwell2, Kristen L Hollands2, Terry Quinn4, Malcolm H Granat5.   

Abstract

PURPOSE: Standing up, sitting down and walking require considerable effort and coordination, which are crucial indicators to rehabilitation (e.g. stroke), and in older populations may indicate the onset of frailty and physical and cognitive decline. Currently, there are few reports robustly quantifying sit-to-stand and stand-to-sit transitions in free-living environments. The aim of this study was to identify and quantify these transitions using the peak velocity of sit-to-stand and stand-to-sit transitions to determine if these velocities were different in a healthy cohort and a mobility-impaired population.
METHODS: Free-living sit-to-stand and stand-to-sit acceleration data were recorded from 21 healthy volunteers and 34 stroke survivors using activPAL3™ monitors over a one-week period. Thigh inclination velocity was calculated from these accelerometer data. Maximum velocities were compared between populations.
RESULTS: A total of 10,299 and 11,392 sit-to-stand and stand-to-sit transitions were recorded in healthy volunteers and stroke survivors, respectively. Healthy volunteers had significantly higher overall mean peak velocities for both transitions compared with stroke survivors [70.7°/s ± 52.2 versus 44.2°/s ± 28.0 for sit-to-stand, P < 0.001 and 74.7°/s ± 51.8 versus 46.0°/s ± 31.9 for stand-to-sit; P < 0.001]. Mean peak velocity of transition was associated with increased variation in peak velocity across both groups.
CONCLUSION: There were significant differences in the mean peak velocity of sit-to-stand and stand-to-sit transitions between the groups. Variation in an individual's mean peak velocity may be associated with the ability to perform these transitions. This method could be used to evaluate the effectiveness of interventions following injury such as stroke, as well as monitor decline in functional ability.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Peak velocity; Physical behaviour; Sit-to-stand Stand-to-sit; Stroke; activPAL

Year:  2019        PMID: 31325738     DOI: 10.1016/j.gaitpost.2019.07.126

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  6 in total

1.  Assessment of Sit-to-Stand Transfers during Daily Life Using an Accelerometer on the Lower Back.

Authors:  Lukas Adamowicz; F Isik Karahanoglu; Christopher Cicalo; Hao Zhang; Charmaine Demanuele; Mar Santamaria; Xuemei Cai; Shyamal Patel
Journal:  Sensors (Basel)       Date:  2020-11-19       Impact factor: 3.576

2.  Assessment of Thigh Angular Velocity by an Activity Monitor to Describe Sit-to-Stand Performance.

Authors:  Jochen Klenk; Alassane Ba; Kim S Sczuka; Urban Daub; Ulrich Lindemann
Journal:  Sensors (Basel)       Date:  2022-02-11       Impact factor: 3.576

3.  Association Between Free-Living Sit-to-Stand Transition Characteristics, and Lower-Extremity Performance, Fear of Falling, and Stair Negotiation Difficulties Among Community-Dwelling 75 to 85-Year-Old Adults.

Authors:  Antti Löppönen; Laura Karavirta; Kaisa Koivunen; Erja Portegijs; Taina Rantanen; Taija Finni; Christophe Delecluse; Evelien Van Roie; Timo Rantalainen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-08-12       Impact factor: 6.591

4.  Test-Retest Reliability of Functional Electromechanical Dynamometer on Five Sit-to-Stand Measures in Healthy Young Adults.

Authors:  Daniel Jerez-Mayorga; Álvaro Huerta-Ojeda; Luis Javier Chirosa-Ríos; Francisco Guede-Rojas; Iris Paola Guzmán-Guzmán; Leonardo Intelangelo; Claudia Miranda-Fuentes; Pedro Delgado-Floody
Journal:  Int J Environ Res Public Health       Date:  2021-06-25       Impact factor: 3.390

5.  Change of Objectively-Measured Physical Activity during Geriatric Rehabilitation.

Authors:  Jochen Klenk; Sebastian Wekenmann; Lars Schwickert; Ulrich Lindemann; Clemens Becker; Kilian Rapp
Journal:  Sensors (Basel)       Date:  2019-12-11       Impact factor: 3.576

6.  Remote Assessment of Functional Mobility and Strength in Older Cancer Survivors: Protocol for a Validity and Reliability Study.

Authors:  Cindy K Blair; Elizabeth Harding; Carla Herman; Tawny Boyce; Wendy Demark-Wahnefried; Sally Davis; Anita Y Kinney; Vernon S Pankratz
Journal:  JMIR Res Protoc       Date:  2020-09-01
  6 in total

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