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 teleconference fatigue management plus physical activity intervention in adults with multiple sclerosis: rationale and research protocol
Background Chronic fatigue and inactivity are prevalent problems among individuals with multiple sclerosis ( MS ) and may independently or interactively have detrimental effects on quality of life and ability to participate in life roles . However , no studies to date have systematic ally evaluated the benefits of an intervention for both managing fatigue and promoting physical activity in individuals with MS . This study involves a r and omized controlled trial to examine the effectiveness of a telehealth intervention that supports individuals with MS in managing fatigue and increasing physical activity levels . Methods / Design A r and omly-allocated , three-parallel group , time-series design with a social support program serving as the control group will be used to accomplish the purpose of the study . Our goal is to recruit 189 ambulatory individuals with MS who will be r and omized into one of three  telehealth interventions : ( 1 ) a contact-control social support intervention , ( 2 ) a physical activity-only intervention , and ( 3 ) a physical activity plus fatigue management intervention . All interventions will last 12 weeks and will be delivered entirely over the phone . Our hypothesis is that , in comparison to the contact-control condition , both the physical activity-only intervention and the physical activity plus fatigue management intervention will yield significant increases in physical activity levels as well as improve fatigue and health and function , with the physical activity plus fatigue management intervention yielding significantly larger improvements . To test this hypothesis , outcome measures will be administered at Weeks 1 , 12 , and 24 . Primary outcomes will be the Fatigue Impact Scale , the Godin Leisure-Time Exercise Question naire ( GLTEQ ) , and Actigraph accelerometers . Secondary outcomes will include the SF-12 Survey , Mental Health Inventory , Multiple Sclerosis Impact Scale , the Community Participation Indicator , and psychosocial constructs ( e.g. , self-efficacy ) . Discussion The proposed study is novel , in that it represents a multi-disciplinary effort to merge two promising lines of research on MS : fatigue management and physical activity promotion . Collectively , the proposed study will be the largest r and omized controlled trial to examine the effects of a lifestyle physical activity intervention in people with MS.Trial registration
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 .