Physical activity levels measured by remote monitoring are consistently low in people with MS , stroke and dementia , and patterns of physical activity are altered in PD .
In MS , decreased ambulatory activity assessed via remote monitoring is associated with greater disability and lower quality of life .
In stroke , remote measures of upper limb function and ambulation are associated with functional recovery following rehabilitation and goal -directed interventions .
In PD , remote monitoring may help to predict falls .
In dementia , remote physical activity measures correlate with disease severity and can detect w and ering .
Conclusions These studies show that remote physical activity monitoring is feasible in neurological diseases , including in people with moderate to severe neurological disability .
Remote monitoring can be a psychometrically sound and responsive way to assess physical activity in neurological disease .
Objective To perform a systematic review of studies using remote physical activity monitoring in neurological diseases , highlighting advances and determining gaps .
The effect of walking mobility on the measurement of physical activity using accelerometry in multiple sclerosis
Objective : To examine whether accelerometry provides a measure of physical activity , walking ability or both in a sample of individuals with multiple sclerosis . The secondary purpose was to examine the validity of physical activity measures in people with multiple sclerosis who have ambulatory impairments . Participants : Forty-two individuals with multiple sclerosis without ambulatory impairment ( Exp and ed Disability Status Scale ( EDSS ) score ≤ 4.5 ) and 32 individuals with multiple sclerosis with ambulatory impairment ( EDSS ≥5.0 ) . Method : Participants completed the Multiple Sclerosis Walking Scale-12 and Performance Scales , wore an accelerometer for seven days , and completed the Godin Leisure-Time Exercise Question naire and short-form of the International Physical Activity Question naire . Results : There were significant differences between groups on scores from the five measures . There were large correlations between the accelerometer counts with scores from both the self-report measures of physical activity and the self-report measures of walking mobility in the overall sample . There were large correlations between scores from both measures of physical activity in the overall sample and the sub sample with ambulatory impairment . Conclusion : Our data suggest that accelerometers are measuring both physical activity and walking mobility in individuals with multiple sclerosis , whereas self-report measures are measuring physical activity in individuals with multiple sclerosis , including those with ambulatory impairment
Physical activity levels measured by remote monitoring are consistently low in people with MS , stroke and dementia , and patterns of physical activity are altered in PD .
In MS , decreased ambulatory activity assessed via remote monitoring is associated with greater disability and lower quality of life .
In stroke , remote measures of upper limb function and ambulation are associated with functional recovery following rehabilitation and goal -directed interventions .
In PD , remote monitoring may help to predict falls .
In dementia , remote physical activity measures correlate with disease severity and can detect w and ering .
Conclusions These studies show that remote physical activity monitoring is feasible in neurological diseases , including in people with moderate to severe neurological disability .
Remote monitoring can be a psychometrically sound and responsive way to assess physical activity in neurological disease .
Objective To perform a systematic review of studies using remote physical activity monitoring in neurological diseases , highlighting advances and determining gaps .