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 .
Reliability of Physical-Activity Measures Over Six Months in Adults with Multiple Sclerosis: Implications for Designing Behavioral Interventions
Reliability estimates are important parameters for power analyses and sample -size calculations in behavioral interventions for increasing physical activity among persons with multiple sclerosis ( MS ) . This study involved a secondary data analysis for providing reliability estimates for measures of physical activity over a six-month period in MS . On two occasions separated by six months , participants completed the Godin Leisure-Time Exercise Question naire ( GLTEQ ) and wore an ActiGraph model 7164 accelerometer on a belt around the waist for a seven-day period . The outcomes from the accelerometer were total activity counts and minutes of moderate-to-vigorous physical activity ( MVPA ) per day . The main analyses involved two-way , r and om effects intraclass correlation coefficients ( ICCs ) . The ICCs for GLTEQ scores , total activity counts , and minutes of MVPA were .66 , .84 , and .84 , respectively . Additionally , the sample was less physically active than adults without MS , and correlation analyses supported the validity of the measures , but within a substantially larger sample . Overall , the measures had acceptable , but different , reliability over six months in this sample of mostly women with relapsing – remitting MS . Power analyses using the reliability estimates indicated vastly different sample sizes for the measures of physical activity and when compared with the default parameter in software packages
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 .