Biomechanics & Movement Science Program

Permanent URI for this community

https://udspace.udel.edu/handle/19716/31367
Visit the Biomechanics & Movement Science Program for more information. The UDSpace community for this department contains open-access research materials created by members of this department.

Browse

Browsing Biomechanics & Movement Science Program by Subject "behavior change"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Predictors of non-stepping time in people with chronic stroke
    (Topics in Stroke Rehabilitation, 2022-08-22) Miller, Allison; McCartney, Kiersten; Wright, Tamara; Reisman, Darcy
    Background: Sedentary time is an independent construct from active time. Previous studies have examined variables associated with sedentary time to inform behavior change programs; however, these studies have lacked data sets that encompass potentially important domains. Objectives: The purpose of this study was to build a more comprehensive model containing previously theorized important predictors of sedentary time and new predictors that have not been explored. We hypothesized that variables representing the domains of physical capacity, psychosocial, physical health, cognition, and environmental would be significantly related to sedentary time in individuals post-stroke. Methods: This was a cross-sectional analysis of 280 individuals with chronic stroke. An activity monitor was used to measure sedentary (i.e. non-stepping) time. Five domains (8 predictors) were entered into a sequential linear regression model: physical capacity (6-Minute Walk Test, assistive device use), psychosocial (Activities Specific Balance Confidence Scale and Patient Health Questionnaire-9), physical health (Charlson Comorbidity Index and body mass index), cognition (Montreal Cognitive Assessment), and environmental (Area Deprivation Index). Results: The 6-Minute Walk Test (β = −0.39, p < .001), assistive device use (β = 0.15, p = .03), Patient Health Questionnaire-9 (β = 0.16, p = .01), and body mass index (β = 0.11, p = .04) were significantly related to non-stepping time in individuals with chronic stroke. The model explained 28.5% of the variability in non-stepping time. Conclusions: This work provides new perspective on which variables may need to be addressed in programs targeting sedentary time in stroke. Such programs should consider physical capacity, depressive symptoms, and physical health.
Copyright: Please look at individual material in order to see what the copyright and licensing terms are. Some material may be available for reuse under a Creative Commons license; other material may be the copyright of the individual author(s) or the publisher of the journal. Copyright lines may not be present in Accepted Manuscript versions so please refer to individual journal policies and/or look up the journal policies in Sherpa Romeo.