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Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies
Citation
Hendrickx, W and Riveros, C and Askim, T and Bussmann, JBJ and Callisaya, ML and Chastin, SFM and Dean, CM and Ezeugwu, VE and Jones, TM and Kuys, SS and Mahendran, N and Manns, TJ and Mead, G and Moore, SA and Paul, L and Pisters, MF and Saunders, DH and Simpson, DB and Tieges, Z and Verschuren, O and English, C, Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies, Topics in Stroke Rehabilitation, 26, (5) pp. 327-334. ISSN 1074-9357 (2019) [Refereed Article]
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Copyright Statement
Copyright 2019 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/
DOI: doi:10.1080/10749357.2019.1601419
Abstract
Objective: This study aimed to identify factors associated with high sedentary time in community-dwelling people with stroke.
Methods: For this data pooling study, authors of published and ongoing trials that collected sedentary time data, using the activPAL monitor, in community-dwelling people with stroke were invited to contribute their raw data. The data was reprocessed, algorithms were created to identify sleep-wake time and determine the percentage of waking hours spent sedentary. We explored demographic and stroke-related factors associated with total sedentary time and time in uninterrupted sedentary bouts using unique, both univariable and multivariable, regression analyses.
Results: The 274 included participants were from Australia, Canada, and the United Kingdom, and spent, on average, 69% (SD 12.4) of their waking hours sedentary. Of the demographic and stroke-related factors, slower walking speeds were significantly and independently associated with a higher percentage of waking hours spent sedentary (p = 0.001) and uninterrupted sedentary bouts of >30 and >60 min (p = 0.001 and p = 0.004, respectively). Regression models explained 11-19% of the variance in total sedentary time and time in prolonged sedentary bouts.
Conclusion: We found that variability in sedentary time of people with stroke was largely unaccounted for by demographic and stroke-related variables. Behavioral and environmental factors are likely to play an important role in sedentary behavior after stroke. Further work is required to develop and test effective interventions to address sedentary behavior after stroke.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | stroke, cardiovascular diseases, determinants, factors, sedentary behavior, sedentary bouts, sedentary time, sitting time |
| Research Division: | Biomedical and Clinical Sciences |
| Research Group: | Cardiovascular medicine and haematology |
| Research Field: | Cardiology (incl. cardiovascular diseases) |
| Objective Division: | Health |
| Objective Group: | Public health (excl. specific population health) |
| Objective Field: | Behaviour and health |
| UTAS Author: | Callisaya, ML (Dr Michele Callisaya) |
| UTAS Author: | Simpson, DB (Ms Dawn Simpson) |
| ID Code: | 133986 |
| Year Published: | 2019 |
| Web of Science® Times Cited: | 11 |
| Deposited By: | Menzies Institute for Medical Research |
| Deposited On: | 2019-07-18 |
| Last Modified: | 2020-08-12 |
| Downloads: | 7 View Download Statistics |
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