Predictors of mobility domain of health-related quality of life after rehabilitation in Parkinson’s disease: a pilot study

Abstract Background Parkinson’s disease impacts health-related quality of life (HRQoL), however no studies inquired on predictors of HRQoL changes after rehabilitation. This study assessed the relationship between mobility domain of HRQoL measured by Parkinson’s Disease Questionnaires-39 (PDQ-39) an...

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Main Authors: Thomas Bowman, Elisa Gervasoni, Riccardo Parelli, Johanna Jonsdottir, Maurizio Ferrarin, Davide Cattaneo, Ilaria Carpinella
Format: Article
Language:English
Published: BMC 2018-12-01
Series:Archives of Physiotherapy
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40945-018-0051-2
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spelling doaj-a5d85596bd0f493596dfd923a833d6522020-11-25T01:17:05ZengBMCArchives of Physiotherapy2057-00822018-12-01811910.1186/s40945-018-0051-2Predictors of mobility domain of health-related quality of life after rehabilitation in Parkinson’s disease: a pilot studyThomas Bowman0Elisa Gervasoni1Riccardo Parelli2Johanna Jonsdottir3Maurizio Ferrarin4Davide Cattaneo5Ilaria Carpinella6IRCCS Fondazione Don Carlo GnocchiIRCCS Fondazione Don Carlo GnocchiIRCCS Fondazione Don Carlo GnocchiIRCCS Fondazione Don Carlo GnocchiIRCCS Fondazione Don Carlo GnocchiIRCCS Fondazione Don Carlo GnocchiIRCCS Fondazione Don Carlo GnocchiAbstract Background Parkinson’s disease impacts health-related quality of life (HRQoL), however no studies inquired on predictors of HRQoL changes after rehabilitation. This study assessed the relationship between mobility domain of HRQoL measured by Parkinson’s Disease Questionnaires-39 (PDQ-39) and clinical-demographic characteristics and developed a model predicting changes after rehabilitation. Methods Subjects with Parkinson’s disease underwent rehabilitation treatment and completed the following predictors: 10-m walking test (10MWT), Timed Up and Go (TUG), Berg Balance scale (BBS), Activities-specific Balance Confidence scales (ABC), Freezing of Gait (FOGQ) and PDQ-39. Two general linear models were calculated to predict the relationship between HRQoL at baseline and to predict HRQoL changes after rehabilitation. Results Forty-two subjects (age 74.9 ± 7.3 years, Hoehn&Yahr 2.8 ± 0.6) completed the baseline evaluation. The first model (multiple R2 = 0.59, F = 5.86, P < 0.001) showed that ABC (B = − 0.51, CI = − 0.86 to 0.15, R2 = 0.41, P = 0.005) and FOGQ (B = 2.38, CI = 1.03 to 3.73, R2 = 0.07, P = 0.001) were statistically significant predictors of mobility aspect of HRQoL at baseline. Thirty seven subjects completed the rehabilitation sessions, data were entered in the second model (multiple R2 = 0.40, F = 4.24, P < 0.004) showing that gender (B = − 5.12, CI = − 9.86 to − 0.39, R2 = 0.23, P = 0.034), Hoehn&Yahr (B = 10.93, CI = + 3.27 to + 18.61, R2 = 0.22, P = 0.006) and PDQ-39 mobility at baseline (B = − 0.38, CI = − 0.63 to − 0.14, R2 = 0.55, P = 0.002) were statistically significant predictors of changes of the mobility aspect of HRQoL. Conclusions Balance confidence and Freezing of Gait are associated with the mobility aspect of HRQoL. Changes in mobility domain of HRQoL (as assessed by PDQ-39) are likely to be greater in males, in people at higher stages of the disease and in people with more severe limitation in mobility domain of HRQoL (as assessed by PDQ-39) before rehabilitation. Results might be different when considering different outcomes or different measures for the same outcome (performance mobility test instead of self-report questionnaires). Further investigations are needed to better understand other components of HRQoL in addition to mobility. Trial registration NCT02713971 registered March 8, 2016.http://link.springer.com/article/10.1186/s40945-018-0051-2Neurological diseaseParkinsonNeurorehabilitationPredictionHealth-related quality of lifeParticipation
collection DOAJ
language English
format Article
sources DOAJ
author Thomas Bowman
Elisa Gervasoni
Riccardo Parelli
Johanna Jonsdottir
Maurizio Ferrarin
Davide Cattaneo
Ilaria Carpinella
spellingShingle Thomas Bowman
Elisa Gervasoni
Riccardo Parelli
Johanna Jonsdottir
Maurizio Ferrarin
Davide Cattaneo
Ilaria Carpinella
Predictors of mobility domain of health-related quality of life after rehabilitation in Parkinson’s disease: a pilot study
Archives of Physiotherapy
Neurological disease
Parkinson
Neurorehabilitation
Prediction
Health-related quality of life
Participation
author_facet Thomas Bowman
Elisa Gervasoni
Riccardo Parelli
Johanna Jonsdottir
Maurizio Ferrarin
Davide Cattaneo
Ilaria Carpinella
author_sort Thomas Bowman
title Predictors of mobility domain of health-related quality of life after rehabilitation in Parkinson’s disease: a pilot study
title_short Predictors of mobility domain of health-related quality of life after rehabilitation in Parkinson’s disease: a pilot study
title_full Predictors of mobility domain of health-related quality of life after rehabilitation in Parkinson’s disease: a pilot study
title_fullStr Predictors of mobility domain of health-related quality of life after rehabilitation in Parkinson’s disease: a pilot study
title_full_unstemmed Predictors of mobility domain of health-related quality of life after rehabilitation in Parkinson’s disease: a pilot study
title_sort predictors of mobility domain of health-related quality of life after rehabilitation in parkinson’s disease: a pilot study
publisher BMC
series Archives of Physiotherapy
issn 2057-0082
publishDate 2018-12-01
description Abstract Background Parkinson’s disease impacts health-related quality of life (HRQoL), however no studies inquired on predictors of HRQoL changes after rehabilitation. This study assessed the relationship between mobility domain of HRQoL measured by Parkinson’s Disease Questionnaires-39 (PDQ-39) and clinical-demographic characteristics and developed a model predicting changes after rehabilitation. Methods Subjects with Parkinson’s disease underwent rehabilitation treatment and completed the following predictors: 10-m walking test (10MWT), Timed Up and Go (TUG), Berg Balance scale (BBS), Activities-specific Balance Confidence scales (ABC), Freezing of Gait (FOGQ) and PDQ-39. Two general linear models were calculated to predict the relationship between HRQoL at baseline and to predict HRQoL changes after rehabilitation. Results Forty-two subjects (age 74.9 ± 7.3 years, Hoehn&Yahr 2.8 ± 0.6) completed the baseline evaluation. The first model (multiple R2 = 0.59, F = 5.86, P < 0.001) showed that ABC (B = − 0.51, CI = − 0.86 to 0.15, R2 = 0.41, P = 0.005) and FOGQ (B = 2.38, CI = 1.03 to 3.73, R2 = 0.07, P = 0.001) were statistically significant predictors of mobility aspect of HRQoL at baseline. Thirty seven subjects completed the rehabilitation sessions, data were entered in the second model (multiple R2 = 0.40, F = 4.24, P < 0.004) showing that gender (B = − 5.12, CI = − 9.86 to − 0.39, R2 = 0.23, P = 0.034), Hoehn&Yahr (B = 10.93, CI = + 3.27 to + 18.61, R2 = 0.22, P = 0.006) and PDQ-39 mobility at baseline (B = − 0.38, CI = − 0.63 to − 0.14, R2 = 0.55, P = 0.002) were statistically significant predictors of changes of the mobility aspect of HRQoL. Conclusions Balance confidence and Freezing of Gait are associated with the mobility aspect of HRQoL. Changes in mobility domain of HRQoL (as assessed by PDQ-39) are likely to be greater in males, in people at higher stages of the disease and in people with more severe limitation in mobility domain of HRQoL (as assessed by PDQ-39) before rehabilitation. Results might be different when considering different outcomes or different measures for the same outcome (performance mobility test instead of self-report questionnaires). Further investigations are needed to better understand other components of HRQoL in addition to mobility. Trial registration NCT02713971 registered March 8, 2016.
topic Neurological disease
Parkinson
Neurorehabilitation
Prediction
Health-related quality of life
Participation
url http://link.springer.com/article/10.1186/s40945-018-0051-2
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