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Independent domains of daily mobility in patients with neurological gait disorders.
Wuehr, Max; Huppert, A; Schenkel, F; Decker, J; Jahn, K; Schniepp, R.
Afiliação
  • Wuehr M; German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians-University, Marchioninistrasse 15, 81377, Munich, Germany. max.wuehr@med.uni-muenchen.de.
  • Huppert A; German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians-University, Marchioninistrasse 15, 81377, Munich, Germany.
  • Schenkel F; German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians-University, Marchioninistrasse 15, 81377, Munich, Germany.
  • Decker J; German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians-University, Marchioninistrasse 15, 81377, Munich, Germany.
  • Jahn K; Schoen Clinic, Bad Aibling, Germany.
  • Schniepp R; German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians-University, Marchioninistrasse 15, 81377, Munich, Germany.
J Neurol ; 267(Suppl 1): 292-300, 2020 Dec.
Article em En | MEDLINE | ID: mdl-32533324
ABSTRACT
The aim of this study was to establish a comprehensive and yet parsimonious model of daily mobility activity in patients with neurological gait disorders. Patients (N = 240) with early-stage neurological (peripheral vestibular, cerebellar, hypokinetic, vascular or functional) gait disorders and healthy controls (N = 35) were clinically assessed with standardized scores related to functional mobility, balance confidence, quality of life, cognitive function, and fall history. Subsequently, daily mobility was recorded for 14 days by means of a body-worn inertial sensor (ActivPAL®). Fourteen mobility measures derived from ActivPAL recordings were submitted to principle component analysis (PCA). Group differences within each factor obtained from PCA were analyzed and hierarchical regression analysis was performed to identify predictive characteristics from clinical assessment for each factor. PCA yielded five significant orthogonal factors (i.e., mobility domains) accounting for 92.3% of the total variance from inertial-sensor-recordings ambulatory volume (38.7%), ambulatory pattern (22.3%), postural transitions (13.3%), sedentary volume (10.8%), and sedentary pattern (7.2%). Patients' mobility performance only exhibited reduced scores in the ambulatory volume domain but near-to-normal scores in all remaining domains. Demographic characteristics, clinical scores, and fall history were differentially associated with each domain explaining 19.2-10.2% of their total variance. This study supports a low-dimensional five-domain model for daily mobility behavior in patients with neurological gait disorders that may facilitate monitoring the course of disease or therapeutic intervention effects in ecologically valid and clinically relevant contexts. Further studies are required to explore the determinants that may explain performance differences of patients within each of these domains and to examine the consequences of altered mobility behavior with respect to patients' risk of falling and quality of life.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos Neurológicos da Marcha / Equilíbrio Postural Tipo de estudo: Etiology_studies / Prognostic_studies Aspecto: Patient_preference Limite: Humans Idioma: En Revista: J Neurol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos Neurológicos da Marcha / Equilíbrio Postural Tipo de estudo: Etiology_studies / Prognostic_studies Aspecto: Patient_preference Limite: Humans Idioma: En Revista: J Neurol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha