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 .
Randomized controlled trial of a behavioral intervention targeting symptoms and physical activity in multiple sclerosis
Background : Exercise training is beneficial , but most persons with multiple sclerosis ( MS ) are sedentary and physically inactive . This has prompted a new focus on the promotion of lifestyle physical activity in MS . We previously design ed , tested , and refined a behavioral intervention delivered through the Internet that successfully increased lifestyle physical activity in MS , but have not evaluated the effects on secondary symptomatic and health-related quality of life ( HRQOL ) outcomes . Objective : We conducted a 6-month r and omized controlled trial ( RCT ) that examined the efficacy of an Internet-delivered , behavioral intervention for improving outcomes of fatigue , depression , anxiety , pain , sleep quality , and HRQOL in 82 ambulatory persons with MS . The secondary aim was to replicate previous results regarding change in free-living physical activity . Results : There was a significant and positive effect of the intervention on fatigue severity ( p=.001 , ηρ2=.15 ) and its physical impact ( p=.008 , ηρ2=.09 ) , depression ( p=.006 , ηρ2=.10 ) , and anxiety ( p=.006 , ηρ2=.10 ) . There were non-significant improvements in pain ( p=.08 , ηρ2=.04 ) , sleep quality ( p=.06 , ηρ2=.05 ) , and physical HRQOL ( p=.06 , ηρ2=.05 ) . We replicated our previous results by demonstrating an increase in self-reported physical activity ( p=.001 , ηρ2=.13 ) . Conclusions : Our results support behavioral interventions targeting lifestyle physical activity as an alternative approach for managing symptoms in 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 .