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 .
Reactivity in baseline accelerometer data from a physical activity behavioral intervention.
OBJECTIVE This brief report describes the possibility of reactivity in the baseline assessment of physical activity using accelerometry from two separate r and omized controlled trials of a behavior intervention for increasing physical activity in persons with multiple sclerosis ( MS ) . METHOD The sample s included 18 persons with multiple sclerosis ( MS ) from Study 1 and 20 from Study 2 who were r and omized into treatment arms of the intervention . The participants initially wore an accelerometer over a 7-day period for collection of baseline data , and one week later wore a pedometer over a 7-day period for collection of data for self-monitoring and goal setting in week 1 of the 12-week intervention . The accelerometer and pedometer data were both expressed in average steps per day over a 7-day period . RESULTS There was a moderate ( d = .56 ) , statistically significant ( p = .03 ) difference of 1,822 steps per day between baseline and week 1 of the intervention in Study 1 . There was a large ( d = 1.36 ) , statistically significant ( p = .0001 ) difference of 2,338 steps per day in Study 2 . CONCLUSION We are unaware of other research describing a significant change in physical activity between baseline and the first week of a behavioral intervention and believe that this change reflects reactivity in the baseline assessment using accelerometry
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 .