The relation between Parkinson's disease and ageing. Comparison of the gait patterns of young Parkinson's disease subjects with healthy elderly subjects.

BACKGROUND: The gait of healthy elderly and of subjects with Parkinson's disease (PD) displays some common features, suggesting that PD may be a model of ageing. AIM: The aim of the study was to quantify highlight the differences and similarities between the gait patterns of young PD and healthy elderly, to uncover if PD could be assumed as a model of ageing. DESIGN: An optoelectronic system was used for 3D gait analysis evaluation. POPULATION AND METHODS: We compared the gait parameters of 15 young PD (YPD) with the gait of 32 healthy elderly subjects (ES) and 21 healthy subjects age-matched with the PD subjects. RESULTS. Common features between YPD and ES were majorly found in the parameters that reflect the presence of an unstable, uncertain gait, and of corrective strategies employed to reduce instability. On the other side, typical features were present in the gait patterns of PD subjects. CONCLUSION. Our study helped identifying some typical characteristics of the onset disease, and to unravel the symptoms of ageing from those of PD by comparing young PD subjects to elderly healthy subjects. CLINICAL REHABILITATION IMPACT: This allows a deeper understanding of the mechanisms underlying the gait in ageing and PD.

Gait strategy of uninvolved limb in children with spastic hemiplegia.

AIM: The aim of this study is the gait pattern quantification in hemiplegic children with cerebral palsy using 3D Gait Analysis (GA), in order to distinguish kinematic and kinetic features of involved and uninvolved limbs. METHODS: Gait pattern of 28 hemiplegic children and 10 healthy children was quantified using GA. Spatial/temporal parameters, kinematic and kinetic parameters of the main joints of lower limbs were identified and calculated. RESULTS: In hemiplegic patients the gait pattern of uninvolved limbs was found to be different from those of involved limbs and of control group. The uninvolved limbs were characterized by significant longer stance phase, than involved limbs and healthy children. The main differences in kinematics were found at proximal joints: knee joint was more flexed than normality range during most of gait cycle and hip presented high flexion at the beginning of stance and in the swing phase. Ankle kinematics presented values closed to normative data, even if anomalous pattern was generally present. In term of ankle kinetics, excessive absorbed ankle power in the first phase of stance was found and ankle power generation revealed the mean value of its maximum to be closed to normative. CONCLUSION: Analysis of kinematic and kinetic parameters indicated that uninvolved limb of hemiplegic children generally presents a unique motor strategy, different from the involved limb and healthy group. Its gait pattern may be related to the search of a better stability in order to optimize gait and it may be a consequence of involved limb strategy due to the pathology.