Geri Dön

Does dual task training improve gait and balance inpeople with parkinson's disease? A systematic review

Başlık çevirisi mevcut değil.

PDF İndir

  1. Tez No: 912463
  2. Yazar: NESİBE ÇAKMAK
  3. Danışmanlar: Belirtilmemiş.
  4. Tez Türü: Yüksek Lisans
  5. Konular: Belirtilmemiş.
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2018
  8. Dil: İngilizce
  9. Üniversite: University of Plymouth
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Belirtilmemiş.
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 74

Özet

Background: Parkinson's disease (PD) is a neurodegenerative disease and its prevalence is growing with increasing elder population. Gait and balance impairments are most disabling motor features of the disease and can lead to decrease in individuals' independency. Especially, under the dual task condition which performing two tasks simultaneously, both gait and balance performance are affected negatively because of the impaired motor and cognitive function coming from PD pathology. Physical therapy play an important role in the rehabilitation of the gait and balance features of the disease. Dual task training may be useful. However, there is an opinion that performing dual task can aggravate the fall risk in PD population. Although there is some evidence about the effects of dual task training on gait and balance, these are not specifically focused on gait and/or balance or PD population. Objective: To systematically review available literature on the effects of dual task training on gait and balance in people with PD. Data Sources: The systematic search of PubMed, MEDLINE, and PEDro was conducted to identify the relevant primary search. Further search was conducted by reviewing the reference lists of the included studies. the keywords: ''Parkinson's disease OR Parkinson OR Parkinsonism'' AND ''dual task training OR concurrent task training OR dual task intervention OR concurrent task intervention'' AND ''gait OR balance OR walking OR stability'' were used. Study Selection: Quantitative studies, which are full-text accessible, were screened according to eligibility criteria and appropriate studies were included. Data Extraction: Joanna Brigs Institute (JBI) Data Extraction form, which is designed for experimental/observational studies was used. EPHPP Quality Assessment Tool for Quantitative Studies was utilised as a risk of bias to evaluate the methodological of the primary research. Results: Eleven studies were included. Five studies were strong evidence, two of them weak, and three of them were moderate evidence.

Özet (Çeviri)

Özet çevirisi mevcut değil.

Benzer Tezler

  1. Tez No

    912290

    Does dual task training improve gait and balance in people with parkinson's disease? a systematic review

    İkili görev eğitimi parkinsonhastalığı olan kişilerde yürüyüşü ve dengeyi geliştirir mi? sistematik bir inceleme

    NESİBE ÇAKMAK

    Yüksek Lisans

    İngilizce

    İngilizce

    2018

    Fizyoterapi ve RehabilitasyonUniversity of Plymouth

    Fizyoterapi ve Rehabilitasyon Ana Bilim Dalı

    DOÇ. DR. LİSA BUNN

  2. Tez No

    744270

    Preferences, timing, and limitations during reasoning: A dual process approach

    Akıl yürütme sırasındaki tercihler, zamanlama ve sınırlamalar: İkili süreç yaklaşımı

    BURAK BERK GÜLTEKİN

    Yüksek Lisans

    İngilizce

    İngilizce

    2022

    PsikolojiYeditepe Üniversitesi

    Bilişsel Bilim Ana Bilim Dalı

    DR. ÖĞR. ÜYESİ SARA SABAN

  3. Tez No

    75456

    Optimum design of rotor blades with equality constraint

    Elastik rotor pallerinin frekans eşitlikli optimizasyonu

    HÜLYA BULUR

    Yüksek Lisans

    İngilizce

    İngilizce

    1998

    Makine Mühendisliğiİstanbul Teknik Üniversitesi

    Makine Mühendisliği Ana Bilim Dalı

    DOÇ. DR. Y. KEMAL YILLIKÇI

  4. Tez No

    46455

    Elektrik makinaları kontrolünde bulanık mantığın uygulanması

    Fuzzy logic applications in control of electrical machines

    NESLİHAN KEPEZ

    Yüksek Lisans

    Türkçe

    Türkçe

    1995

    Elektrik ve Elektronik Mühendisliğiİstanbul Teknik Üniversitesi

    PROF.DR. M. EMİN TACER

  5. Tez No

    895304

    Quantifying alignment among architectural objects using white-box neural computing

    Beyaz kutu nöral hesaplama kullanarak mimari nesneler arasındaki hizalanmanın ölçülmesi

    OSMAN ZİNNUR MELİKOĞLU

    Yüksek Lisans

    İngilizce

    İngilizce

    2024

    Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrolİstanbul Teknik Üniversitesi

    Bilişim Ana Bilim Dalı

    DOÇ. DR. MICHAEL STEFAN BITTERMANN

Geri Dön