Predicting Falls in Parkinson Disease Patients

Message:
Abstract:
Background
Falls are a major risk for Parkinson disease patients (PD). Single falls, in older people may be related to the underlying disease or may be accidental. Recurrent falls are more likely to be related to the underlying disease.
Objectives
To predict falls in patients with Parkinson disease.Patients and
Methods
Between July 1, 2011 and June 30, 2012 we examined 452 persons with PD in the Muhammad Ali Parkinson Clinic during their outpatient visits.
Results
We followed 401 persons with PD for a year, 205 of whom, 51.0% fell: 161 fell once and 44 fell more than once (recurrent fallers). Recurrent fallers had PD significantly longer, 12.6 + 7.0 versus 5.9 + 4.5 years, had significantly higher, worse, motor unified parkinson disease rating scale (UPDRS) scores” 31.2 + 12.7 versus 19.7 + 8.3. The major difference between recurrent and single fallers was an inability of recurrent fallers to stand on one leg for < 3 seconds: 95% versus 11%, odds ratio 178 CI 95% 39.5 - 801.2.
Conclusions
Single fallers who are unable to stand on one foot for < 3 seconds may be at risk for recurrent falls. Gait and balance training focused on improving a patient’s ability to stand on one leg may decrease the risk of recurrent falls in PD.
Language:
English
Published:
Archives of Neuroscience, Volume:3 Issue: 1, Jan 2016
Page:
1
magiran.com/p1471580  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!