Roderick Wondergem
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Roderick Wondergem has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Cindy Veenhof
Research Centre for Healthy and Sustainable Living, Innovation of Human Movement Care Research Group, HU University of Applied Sciences Utrecht, Utrecht, the Netherlands; Center for Physical Therapy Research and Innovation in Primary Care, Julius Health Care Centers, Utrecht, the Netherlands; Department of Rehabilitation, Physiotherapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
1 shared publication Eveline M.J. Wouters
Department of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, the Netherlands (R.W., E.M.J.W., M.F.P.).
1 shared publicationJohanna M.A. Visser-Meily
Department of Rehabilitation, Physical Therapy Science and Sport, Brain Center, University Medical Center Utrecht, the Netherlands (R.W., C.V., J.M.A.V.-M., M.F.P.).
1 shared publication- Martijn Frits Pisters
Department of Rehabilitation, Physiotherapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, Utrecht, 3584 CX, The Netherlands, 31 887555555
1 shared publication Rob A. de Bie
Department of Epidemiology and Caphri Research School, Maastricht University, the Netherlands (R.A.d.B.).
1 shared publication
Latest Publications
- Open Access
- 1 December 2019
- Published by Wolters Kluwer Health in Stroke
- Vol. 50 (12) , 3553-3560
Movement Behavior Patterns in People With First-Ever Stroke
Background and Purpose—: Movement behaviors, that is, both physical activity and sedentary behavior, are independently associated with health risks. Although both behaviors have been investigated separately in people after stroke, little is known about the combined movement behavior patterns, differences in these patterns between individuals, or the factors associated with these patterns. Therefore, the objectives of this study are (1) to identify movement behavior patterns in people with first-ever stroke discharged to the home setting and (2) to explore factors associated with the identified patterns. Methods—: Cross-sectional design using data from 190 people with first-ever stroke discharged to the home setting. Movement, behavior was measured over 2 weeks using an accelerometer. Ten movement behavior outcomes were calculated and compressed using principal component analysis. Movement behavior patterns were identified using a k-means clustering algorithm. Demographics, stroke, care, physical functioning, and psychological, cognitive and social factors were obtained. Differences between and factors associated with the patterns were investigated. Results—: On average, the accelerometer was worn for 13.7 hours per day. The average movement behavior of the participants showed 9.3 sedentary hours, 3.8 hours of light physical activity, and 0.6 hours of moderate-vigorous physical activity. Three patterns and associated factors were identified: (1) sedentary exercisers (22.6%), with a relatively low age, few pack-years, light drinking, and high levels of physical functioning; (2) sedentary movers (45.8%), with less severe stroke symptoms, low physical functioning and high levels of self-efficacy; and (3) sedentary prolongers (31.6%), with more severe stroke symptoms, more pack-years, and low levels of self-efficacy. Conclusions—: The majority of people with stroke are inactive and sedentary. Three different movement behavior patterns were identified: sedentary exercisers, sedentary movers, and sedentary prolongers. The identified movement behavior patterns confirm the hypothesis that an individually tailored approach might be warranted with movement behavior coaching by healthcare professionals.
- 1 December 2019
- Published by Wolters Kluwer Health in Stroke
- Vol. 50 (12) , 3553-3560
Open AccessMovement Behavior Patterns in People With First-Ever Stroke
Background and Purpose—: Movement behaviors, that is, both physical activity and sedentary behavior, are independently associated with health risks. Although both behaviors have been investigated separately in people after stroke, little is known about the combined movement behavior patterns, differences in these patterns between individuals, or the factors associated with these patterns. Therefore, the objectives of this study are (1) to identify movement behavior patterns in people with first-ever stroke discharged to the home setting and (2) to explore factors associated with the identified patterns. Methods—: Cross-sectional design using data from 190 people with first-ever stroke discharged to the home setting. Movement, behavior was measured over 2 weeks using an accelerometer. Ten movement behavior outcomes were calculated and compressed using principal component analysis. Movement behavior patterns were identified using a k-means clustering algorithm. Demographics, stroke, care, physical functioning, and psychological, cognitive and social factors were obtained. Differences between and factors associated with the patterns were investigated. Results—: On average, the accelerometer was worn for 13.7 hours per day. The average movement behavior of the participants showed 9.3 sedentary hours, 3.8 hours of light physical activity, and 0.6 hours of moderate-vigorous physical activity. Three patterns and associated factors were identified: (1) sedentary exercisers (22.6%), with a relatively low age, few pack-years, light drinking, and high levels of physical functioning; (2) sedentary movers (45.8%), with less severe stroke symptoms, low physical functioning and high levels of self-efficacy; and (3) sedentary prolongers (31.6%), with more severe stroke symptoms, more pack-years, and low levels of self-efficacy. Conclusions—: The majority of people with stroke are inactive and sedentary. Three different movement behavior patterns were identified: sedentary exercisers, sedentary movers, and sedentary prolongers. The identified movement behavior patterns confirm the hypothesis that an individually tailored approach might be warranted with movement behavior coaching by healthcare professionals.