| Title |
Natural history of falls in an incident cohort of Parkinson’s disease: early evolution, risk and protective features
|
|---|---|
| Published in |
Journal of Neurology, September 2017
|
| DOI | 10.1007/s00415-017-8620-y |
| Pubmed ID | |
| Authors |
Sue Lord, Brook Galna, Alison J. Yarnall, Rosie Morris, Shirley Coleman, David Burn, Lynn Rochester |
| Abstract |
The natural history of falls in early Parkinson's disease (PD) is poorly understood despite the profound effect of falls on outcome. The primary aim of this study was to describe the natural history of falls, and characterise fallers over 54 months in 99 newly diagnosed people with PD. Seventy-nine (79.7%) participants fell over 54 months and 20 (20.3%) remained falls-naïve. Twenty six (26.2%) reported retrospective falls at baseline. Gait outcomes, disease severity and self-efficacy significantly discriminated across groups. Subjective cognitive complaints emerged as the only significant cognitive predictor. Without exception, outcomes were better for non-fallers compared with fallers at any time point. Between group differences for 54 month fallers and non-fallers were influenced by the inclusion of retrospective fallers and showed a broader range of discriminant characteristics, notably stance time variability and balance self-efficacy. Single fallers (n = 7) were significantly younger than recurrent fallers (n = 58) by almost 15 years (P = 0.013). Baseline performance in early PD discriminates fallers over 54 months, thereby identifying those at risk of falls. Clinical profiles for established and emergent fallers are to some extent distinct. These results reiterate the need for timely interventions to improve postural control and gait. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 12% |
| Student > Bachelor | 13 | 12% |
| Student > Master | 12 | 11% |
| Researcher | 10 | 9% |
| Student > Doctoral Student | 7 | 6% |
| Other | 24 | 22% |
| Unknown | 32 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 17% |
| Nursing and Health Professions | 15 | 14% |
| Neuroscience | 12 | 11% |
| Psychology | 9 | 8% |
| Sports and Recreations | 4 | 4% |
| Other | 14 | 13% |
| Unknown | 38 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 September 2017.
All research outputs
#20,448,386
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Outputs from Journal of Neurology
#4,028
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Outputs of similar age
#279,708
of 320,342 outputs
Outputs of similar age from Journal of Neurology
#39
of 48 outputs
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