Literature DB >> 29542808

Accelerometry: A feasible method to monitor physical activity during sub-acute rehabilitation of persons with stroke.

Conran Joseph1, Björn Strömbäck, Maria Hagströmer, David Conradsson.   

Abstract

OBJECTIVE: To investigate the feasibility of using accelerometers to monitor physical activity in persons with stroke admitted to inpatient rehabilitation.
DESIGN: Longitudinal observational study. PARTICIPANTS: Persons with stroke admitted to a specialized rehabilitation centre for sub-acute rehabilitation were recruited between August and December 2016.
METHODS: Volume and intensity of physical activity were assessed with accelerometers throughout the rehabilitation period. Indicators of feasibility included processes (recruitment, protocol adherence and participants' experiences) and scientific feasibility, which assessed the accelerometers' ability to detect change in physical activity among stroke survivors who ambulate independently and those who are dependent on a mobility device.
RESULTS: Twenty-seven out of 31 eligible individuals took part in this study, with 23 (85%) completing it. In total, 432 days of rehabilitation were monitored and valid physical activity data were obtained for 408 days (94%). There were no indications that the measurement interfered with participants' ability to participate in rehabilitation. Despite the subjects' ambulation status, the number of steps and time spent in moderate-to-vigorous physical activity increased significantly across the first 18 days of rehabilitation, whereas sedentary time was unchanged.
CONCLUSION: This study supports the feasibility of using accelerometers to capture physical activity behaviour in survivors of stroke during inpatient rehabilitation.

Entities:  

Mesh:

Year:  2018        PMID: 29542808     DOI: 10.2340/16501977-2326

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  3 in total

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Authors:  George Demiris; Sarah J Iribarren; Katherine Sward; Solim Lee; Rumei Yang
Journal:  Nurs Outlook       Date:  2019-04-26       Impact factor: 3.250

2.  Establishing Accelerometer Cut-Points to Classify Walking Speed in People Post Stroke.

Authors:  David Moulaee Conradsson; Lucian John-Ross Bezuidenhout
Journal:  Sensors (Basel)       Date:  2022-05-27       Impact factor: 3.847

3.  Using an Accelerometer-Based Step Counter in Post-Stroke Patients: Validation of a Low-Cost Tool.

Authors:  Francesco Negrini; Giulio Gasperini; Eleonora Guanziroli; Jacopo Antonino Vitale; Giuseppe Banfi; Franco Molteni
Journal:  Int J Environ Res Public Health       Date:  2020-05-02       Impact factor: 3.390

  3 in total

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