2016
DOI: 10.1016/j.apmr.2015.10.105
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Two-Year Trajectory of Fall Risk in People With Parkinson Disease: A Latent Class Analysis

Abstract: Objective To examine fall risk trajectories occurring naturally in a sample of individuals with early to middle stage Parkinson’s disease (PD). Design Latent class analysis, specifically growth mixture modeling (GMM) of longitudinal fall risk trajectories. Setting Not applicable. Participants 230 community-dwelling PD participants of a longitudinal cohort study who attended at least two of five assessments over a two year period. Interventions Not applicable. Main Outcome Measures Fall risk trajector… Show more

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Cited by 23 publications
(12 citation statements)
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“…The frequency of falls are 38-68% in the literature (16,17,18). We found a frequency of 25.3% in our study.…”
Section: Discussionsupporting
confidence: 62%
“…The frequency of falls are 38-68% in the literature (16,17,18). We found a frequency of 25.3% in our study.…”
Section: Discussionsupporting
confidence: 62%
“…[59] Several studies have utilized LCA and a related approach, latent profile analysis (LPA), to examine subgroups of PD patients according to motor, psychiatric, or cognitive presentations. [60]–[65] Although two studies[64], [65] included examination of neuropsychological test performance, this was not the primary outcome variable of interest. This current study is the first to utilize LCA to examine cognition in PD as the primary outcome.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, gait seems to be more stable when the arm swing is amplified and could normalize the gait speed and the step length in this population [ 38 ]. As already highlighted by Punt et al, this finding is important as the fall risk is already high for the elderly, and even more so in PD [ 39 , 40 ]. From this point of view, including arm swing in rehabilitation programmes, it seems to be an interesting strategy to normalize the PD gait pattern [ 38 , 41 ].…”
Section: Discussionmentioning
confidence: 92%