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 .
Symptom cluster as a predictor of physical activity in multiple sclerosis: preliminary evidence.
The present study examined the symptom cluster of fatigue , pain , and depression , and its direct and indirect prediction of physical  activity  behavior in a sample of individuals with multiple sclerosis ( MS ) using a prospect i ve research design and the Theory of Unpleasant Symptoms . The sample included 292 individuals with a definite diagnosis of MS . The participants completed self-report measures of fatigue , depression , pain , self-efficacy , and functional limitations at baseline and six months later , wore an accelerometer for seven days and completed a self-report measure of physical activity behavior .  The data analysis indicated that : 1 ) fatigue , depression , and pain represented a symptom cluster ; 2 ) the symptom cluster had a strong and negative predictive relationship with physical activity behavior ; and 3 ) functional limitations , but not self-efficacy , accounted for the predictive relationship between the symptom cluster and physical activity behavior . Such findings provide preliminary support to the importance of considering symptom clusters as a meaningful correlate of physical activity behavior in persons with MS
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 .