B L Seves1, F Hoekstra2,3,4, F J Hettinga5, R Dekker4, L H V van der Woude2,4, T Hoekstra6. 1. Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. b.l.seves@umcg.nl. 2. Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. 3. School of Health and Exercise Sciences, University of British Columbia Okanagan, Kelowna, BC, Canada. 4. Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. 5. Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle, UK. 6. Department of Health Sciences and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Abstract
PURPOSE: To identify Health-related Quality of Life (HR-QoL) trajectories in a large heterogeneous cohort of people with a physical disability and/or chronic disease during and after rehabilitation and to determine which factors before discharge are associated with longitudinal trajectory membership. METHODS: A total of 1100 people with a physical disability and/or chronic disease were included from the longitudinal cohort study Rehabilitation, Sports and Active lifestyle. All participants participated in a physical activity promotion programme in Dutch rehabilitation care. HR-QoL was assessed using the RAND-12 Health Status Inventory questionnaire at baseline (T0: 3-6 weeks before discharge) and at 14 (T1), 33 (T2) and 52 (T3) weeks after discharge from rehabilitation. A data-driven approach using Latent Class Growth Mixture modelling was used to determine HR-QoL trajectories. Multiple binomial multivariable logistic regression analyses were used to determine person-, disease- and lifestyle-related factors associated with trajectory membership. RESULTS: Three HR-QoL trajectories were identified: moderate (N = 635), high (N = 429) and recovery (N = 36). Trajectory membership was associated with person-related factors (age and body mass index), disease-related factors (perceived fatigue, perceived pain and acceptance of the disease) and one lifestyle-related factor (alcohol consumption) before discharge from rehabilitation. CONCLUSIONS: Most of the people who participated in a physical activity promotion programme obtained a relatively stable but moderate HR-QoL. The identified HR-QoL trajectories among our heterogeneous cohort are disease-overarching. Our findings suggest that people in rehabilitation may benefit from person-centred advice on management of fatigue and pain (e.g. activity pacing) and the acceptance of the disability.
PURPOSE: To identify Health-related Quality of Life (HR-QoL) trajectories in a large heterogeneous cohort of people with a physical disability and/or chronic disease during and after rehabilitation and to determine which factors before discharge are associated with longitudinal trajectory membership. METHODS: A total of 1100 people with a physical disability and/or chronic disease were included from the longitudinal cohort study Rehabilitation, Sports and Active lifestyle. All participants participated in a physical activity promotion programme in Dutch rehabilitation care. HR-QoL was assessed using the RAND-12 Health Status Inventory questionnaire at baseline (T0: 3-6 weeks before discharge) and at 14 (T1), 33 (T2) and 52 (T3) weeks after discharge from rehabilitation. A data-driven approach using Latent Class Growth Mixture modelling was used to determine HR-QoL trajectories. Multiple binomial multivariable logistic regression analyses were used to determine person-, disease- and lifestyle-related factors associated with trajectory membership. RESULTS: Three HR-QoL trajectories were identified: moderate (N = 635), high (N = 429) and recovery (N = 36). Trajectory membership was associated with person-related factors (age and body mass index), disease-related factors (perceived fatigue, perceived pain and acceptance of the disease) and one lifestyle-related factor (alcohol consumption) before discharge from rehabilitation. CONCLUSIONS: Most of the people who participated in a physical activity promotion programme obtained a relatively stable but moderate HR-QoL. The identified HR-QoL trajectories among our heterogeneous cohort are disease-overarching. Our findings suggest that people in rehabilitation may benefit from person-centred advice on management of fatigue and pain (e.g. activity pacing) and the acceptance of the disability.
Entities:
Keywords:
Active lifestyle; Activity pacing; Health promotion; Latent class growth (mixture) models; Quality of life; Rehabilitation
Authors: William L Haskell; I-Min Lee; Russell R Pate; Kenneth E Powell; Steven N Blair; Barry A Franklin; Caroline A Macera; Gregory W Heath; Paul D Thompson; Adrian Bauman Journal: Circulation Date: 2007-08-01 Impact factor: 29.690
Authors: David Feeny; Karen Farris; Isabelle Côté; Jeffrey A Johnson; Ross T Tsuyuki; Ken Eng Journal: J Clin Epidemiol Date: 2005-02 Impact factor: 6.437
Authors: P E C A Passier; J M A Visser-Meily; M J E van Zandvoort; G J E Rinkel; E Lindeman; M W M Post Journal: NeuroRehabilitation Date: 2012 Impact factor: 2.138
Authors: J M Anne Visser-Meily; Marloes L Rhebergen; Gabriel J E Rinkel; Martine J van Zandvoort; Marcel W M Post Journal: Stroke Date: 2008-12-18 Impact factor: 7.914
Authors: Richard Sawatzky; Teresa Liu-Ambrose; William C Miller; Carlo A Marra Journal: Health Qual Life Outcomes Date: 2007-12-19 Impact factor: 3.186