Now showing items 1-4 of 4
Comparison of two-stage FPCA and bayesian mixture models applied to physical activity accelerometer data : pattern identification and group classification, A
Contributor:Cotton, Eleanor R.
Collectively, society has begun to borderline obsess with ability to monitor our physical activity. A plethora of devices now exist to monitor steps, heart rate, sleep pattern, and many other metrics, giving individuals ...
New insights into the role of lower extremity and trunk muscle function for gait in people with multiple sclerosis
Contributor:Mañago, Mark McLaughlin
Background: Weakness and difficulty walking are two of the most common symptoms for people with multiple sclerosis (MS). Weakness contributes to gait impairment, and strength training can improve muscle strength, but ...
Determining the optimal level of objectively measured physical activity for long-term weight loss and the association between motivational profiles and physical activity adoption and maintenance
Contributor:Ostendorf, Danielle Marie
It is well-known that high levels of physical activity (PA) are important for successful long-term weight loss, which is reflected in current PA guidelines for weight management (≥300 minutes/week of moderate-intensity ...
Theory of planned behavior and mindfulness to predict physical activity in a predominantly Hispanic sample of high school aged adolescents, The
Contributor:Hartson, Kimberly Rapp
Moderate to vigorous physical activity (MVPA) is important for the prevention of chronic illness throughout the lifespan. Nevertheless, only 27% of high school students in the United States (U.S.) engage in adequate daily ...