Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies.

Wendy Hendrickx, Carlos Riveros, Torunn Askim, Johannes B.J. Bussmann, Michele L. Callisaya, Sebastien F.M. Chastin, Catherine M. Dean, Victor E. Ezeugwu, Taryn M. Jones, Suzanne S. Kuys, Niruthikha Mahendran, Trish J. Manns, Gillian Mead, Sarah A. Moore, Lorna Paul, Martijn F. Pisters, David H. Saunders, Dawn B. Simpson, Zoë Tieges, Olaf VerschurenCoralie English

Research output: Contribution to journalArticle

10 Downloads (Pure)

Abstract

Background: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke.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 minutes (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.
Original languageEnglish
Pages (from-to)327-334
Number of pages8
JournalTopics in Stroke Rehabilitation
Volume26
Issue number5
Early online date26 Apr 2019
DOIs
Publication statusPublished - 2019

Fingerprint

Stroke
Independent Living
Demography
Canada
Meta-Analysis
Sleep
Cardiovascular Diseases
Regression Analysis

Keywords

  • stroke
  • cardiovascular diseases
  • sedentary behavior
  • sedentary time
  • sitting time
  • sedentary bouts
  • factors
  • determinants

Cite this

Hendrickx, Wendy ; Riveros, Carlos ; Askim, Torunn ; Bussmann, Johannes B.J. ; Callisaya, Michele L. ; Chastin, Sebastien F.M. ; Dean, Catherine M. ; Ezeugwu, Victor E. ; Jones, Taryn M. ; Kuys, Suzanne S. ; Mahendran, Niruthikha ; Manns, Trish J. ; Mead, Gillian ; Moore, Sarah A. ; Paul, Lorna ; Pisters, Martijn F. ; Saunders, David H. ; Simpson, Dawn B. ; Tieges, Zoë ; Verschuren, Olaf ; English, Coralie. / Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies. In: Topics in Stroke Rehabilitation. 2019 ; Vol. 26, No. 5. pp. 327-334.
@article{108a01facdae4bac878934c84e2c744c,
title = "Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies.",
abstract = "Background: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke.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 minutes (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.",
keywords = "stroke, cardiovascular diseases, sedentary behavior , sedentary time, sitting time, sedentary bouts, factors, determinants",
author = "Wendy Hendrickx and Carlos Riveros and Torunn Askim and Bussmann, {Johannes B.J.} and Callisaya, {Michele L.} and Chastin, {Sebastien F.M.} and Dean, {Catherine M.} and Ezeugwu, {Victor E.} and Jones, {Taryn M.} and Kuys, {Suzanne S.} and Niruthikha Mahendran and Manns, {Trish J.} and Gillian Mead and Moore, {Sarah A.} and Lorna Paul and Pisters, {Martijn F.} and Saunders, {David H.} and Simpson, {Dawn B.} and Zo{\"e} Tieges and Olaf Verschuren and Coralie English",
note = "Acceptance in SAN",
year = "2019",
doi = "10.1080/10749357.2019.1601419",
language = "English",
volume = "26",
pages = "327--334",
journal = "Topics in Stroke Rehabilitation",
issn = "1074-9357",
publisher = "Taylor & Francis Group",
number = "5",

}

Hendrickx, W, Riveros, C, Askim, T, Bussmann, JBJ, Callisaya, ML, Chastin, SFM, Dean, CM, Ezeugwu, VE, Jones, TM, Kuys, SS, Mahendran, N, Manns, TJ, Mead, G, Moore, SA, Paul, L, Pisters, MF, Saunders, DH, Simpson, DB, Tieges, Z, Verschuren, O & English, C 2019, 'Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies.', Topics in Stroke Rehabilitation, vol. 26, no. 5, pp. 327-334. https://doi.org/10.1080/10749357.2019.1601419

Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies. / Hendrickx, Wendy; Riveros, Carlos; Askim, Torunn; Bussmann, Johannes B.J.; Callisaya, Michele L.; Chastin, Sebastien F.M.; Dean, Catherine M.; Ezeugwu, Victor E.; Jones, Taryn M.; Kuys, Suzanne S.; Mahendran, Niruthikha; Manns, Trish J.; Mead, Gillian; Moore, Sarah A.; Paul, Lorna; Pisters, Martijn F.; Saunders, David H.; Simpson, Dawn B.; Tieges, Zoë; Verschuren, Olaf; English, Coralie.

In: Topics in Stroke Rehabilitation, Vol. 26, No. 5, 2019, p. 327-334.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Identifying factors associated with sedentary time after stroke. Secondary analysis of pooled data from nine primary studies.

AU - Hendrickx, Wendy

AU - Riveros, Carlos

AU - Askim, Torunn

AU - Bussmann, Johannes B.J.

AU - Callisaya, Michele L.

AU - Chastin, Sebastien F.M.

AU - Dean, Catherine M.

AU - Ezeugwu, Victor E.

AU - Jones, Taryn M.

AU - Kuys, Suzanne S.

AU - Mahendran, Niruthikha

AU - Manns, Trish J.

AU - Mead, Gillian

AU - Moore, Sarah A.

AU - Paul, Lorna

AU - Pisters, Martijn F.

AU - Saunders, David H.

AU - Simpson, Dawn B.

AU - Tieges, Zoë

AU - Verschuren, Olaf

AU - English, Coralie

N1 - Acceptance in SAN

PY - 2019

Y1 - 2019

N2 - Background: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke.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 minutes (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.

AB - Background: High levels of sedentary time increases the risk of cardiovascular disease, including recurrent stroke.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 minutes (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.

KW - stroke

KW - cardiovascular diseases

KW - sedentary behavior

KW - sedentary time

KW - sitting time

KW - sedentary bouts

KW - factors

KW - determinants

U2 - 10.1080/10749357.2019.1601419

DO - 10.1080/10749357.2019.1601419

M3 - Article

VL - 26

SP - 327

EP - 334

JO - Topics in Stroke Rehabilitation

JF - Topics in Stroke Rehabilitation

SN - 1074-9357

IS - 5

ER -