Literature DB >> 17667192

Falling in Parkinson disease: identifying and prioritizing risk factors in recurrent fallers.

Andrew C Dennison1, Joseph V Noorigian, Keith M Robinson, David N Fisman, Heather J Cianci, Paul Moberg, Lisette Bunting-Perry, Rebecca Martine, John Duda, Matthew B Stern.   

Abstract

OBJECTIVES: To identify falling risk factors in a study population of recurrent fallers compared with nonfallers who have Parkinson disease, and to prioritize falling risk factors in this patient population to target them for modification.
DESIGN: Twenty-three recurrent fallers and 25 nonfallers who have Parkinson disease were recruited, and they participated in a comprehensive assessment probing for the presence of falling risk factors. To identify falling risk factors, a group comparative design was used to compare recurrent fallers and nonfallers across an array of variables. To prioritize those risk factors, modeling using recursive partitioning was performed, entering into the model falling, risk factors identified in this and other studies that were considered potentially modifiable.
RESULTS: A specific profile of variables distinguished recurrent fallers who have Parkinson disease in our study population: higher disease severity, higher level of motor impairment, higher level of disability, impaired leg agility or lower-limb coordination, impaired ability to arise from a chair or compromised proximal lower-limb motor control, impaired ambulation, impaired motor planning of the hands and feet, impaired dynamic balance as measured by ability to walk in tandem, and fear of falling. Recursive partitioning prioritized three risk factors: impaired ambulation, impaired lower-limb motor planning, and orthostasis.
CONCLUSIONS: In this study, an idiosyncratic falling risk factor profile was demonstrated among our subjects who have Parkinson disease. Three variables were prioritized for potential modification: impaired ambulation, impaired lower-limb motor planning, and orthostasis.

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Year:  2007        PMID: 17667192     DOI: 10.1097/PHM.0b013e311611583

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  22 in total

1.  Knee extensor strength, dynamic stability, and functional ambulation: are they related in Parkinson's disease?

Authors:  Joe R Nocera; Thomas Buckley; Dwight Waddell; Michael S Okun; Chris J Hass
Journal:  Arch Phys Med Rehabil       Date:  2010-04       Impact factor: 3.966

2.  Does integrative medicine enhance balance in aging adults? Proof of concept for the benefit of electroacupuncture therapy in Parkinson's disease.

Authors:  Nima Toosizadeh; Hong Lei; Michael Schwenk; Scott J Sherman; Esther Sternberg; Jane Mohler; Bijan Najafi
Journal:  Gerontology       Date:  2014-10-22       Impact factor: 5.140

3.  The relation between falls risk and movement variability in Parkinson's disease.

Authors:  Steven Morrison; Jacquelyn Moxey; Nick Reilly; Daniel M Russell; Karen M Thomas; Alex A Grunsfeld
Journal:  Exp Brain Res       Date:  2021-04-29       Impact factor: 1.972

4.  Falls and the falls efficacy scale in Parkinson's disease.

Authors:  Alissa A Thomas; Jennifer M Rogers; Melissa M Amick; Joseph H Friedman
Journal:  J Neurol       Date:  2010-02-16       Impact factor: 4.849

5.  Assessment of fall-related self-efficacy and activity avoidance in people with Parkinson's disease.

Authors:  Maria H Nilsson; Anna-Maria Drake; Peter Hagell
Journal:  BMC Geriatr       Date:  2010-10-25       Impact factor: 3.921

Review 6.  How tandem gait stumbled into the neurological exam: a review.

Authors:  Jason Margolesky; Carlos Singer
Journal:  Neurol Sci       Date:  2017-09-11       Impact factor: 3.307

7.  The ability of people with Parkinson's disease to modify dual-task performance in response to instructions during simple and complex walking tasks.

Authors:  Valerie E Kelly; Anne Shumway-Cook
Journal:  Exp Brain Res       Date:  2013-10-27       Impact factor: 1.972

Review 8.  Long-term effects of exercise and physical therapy in people with Parkinson disease.

Authors:  Margaret K Mak; Irene S Wong-Yu; Xia Shen; Chloe L Chung
Journal:  Nat Rev Neurol       Date:  2017-10-13       Impact factor: 42.937

9.  Predictive value of morphological features in patients with autism versus normal controls.

Authors:  H Ozgen; G S Hellemann; M V de Jonge; F A Beemer; H van Engeland
Journal:  J Autism Dev Disord       Date:  2013-01

10.  Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease?

Authors:  Ryan P Duncan; Gammon M Earhart
Journal:  Parkinsons Dis       Date:  2012-10-31
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