Intensive cycle ergometer training improves gait speed and endurance in patients with Parkinson's disease: A comparison with treadmill training

Ilaria Arcolin, Fabrizio Pisano, Carmen Delconte, Marco Godi, Marco Schieppati, Alessandro Mezzani, Daniele Picco, Margherita Grasso, Antonio Nardone

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

Purpose: Cycle ergometer training improves gait in the elderly, but its effect in patients with Parkinson's disease (PD) is not completely known. Methods: Twenty-nine PD inpatients were randomized to treadmill (n = 13, PD-T) or cycle ergometer (n = 16, PD-C) training for 3 weeks, 1 hour/day. Outcome measures were distance travelled during the 6-min walking test (6MWT), spatio-temporal variables of gait assessed by baropodometry, the Timed Up and Go (TUG) duration, the balance score through the Mini-BESTest, and the score of the Unified Parkinson's Disease Rating Scale (UPDRS). Results: Sex, age, body mass index, disease duration, Hoehn-Yahr staging, comorbidity and medication did not differ between groups. At end of training, ANCOVA showed significant improvement, of similar degree, in both groups for 6MWT, speed, step length and cadence of gait, TUG, Mini-BESTest and UPDRS. Conclusions: This pilot study shows that cycle ergometer training improves walking parameters and reduces clinical signs of PD, as much as treadmill training does. Gait velocity is accompanied by step lengthening, making the gait pattern close to that of healthy subjects. Cycle ergometer is a valid alternative to treadmill for improving gait in short term in patients with PD.

Lingua originaleInglese
pagine (da-a)125-138
Numero di pagine14
RivistaRestorative Neurology and Neuroscience
Volume34
Numero di pubblicazione1
DOI
Stato di pubblicazionePubblicato - 30 ott 2015
Pubblicato esternamente

Fingerprint

Entra nei temi di ricerca di 'Intensive cycle ergometer training improves gait speed and endurance in patients with Parkinson's disease: A comparison with treadmill training'. Insieme formano una fingerprint unica.

Cita questo