Measuring movement and energy use during dance

The first purpose of the study is to develop and test new methods for quantifying dance among adults with a diagnosis of Parkinson's using various kinds of cameras, wearable activity monitors, and questionnaires. The second reason we are conducting the study is to better understand the relationship between the intensity of dance classes specifically designed for adults with Parkinson's and individual-level factors like the kinds of routine activities one does beyond dancing and one's health status. Participants in the study may be asked to engage in any of the following activities: * complete a small number of assessments on their physical and cognitive functioning * complete their routine group-based dance classes, specifically designed for adults with a diagnosis of Parkinson's, while being recorded Depending upon the group that a participant joins, one may also be asked to: * wear an activity monitor on their waist while engaged in their daily business as usual for nine (9) days * complete an iDXA scan * describe their perceptions on how the use of technology can integrated into their dancing

Parkinson's Disease (PD) is a neurodegenerative disorder that affects an estimated 1 million people in the United States, with the onset of symptoms typically occurring after the age of 50 years old. Adults living with PD experience motor impairments such as postural and gait instability, resting tremor, bradykinesia, and muscular rigidity; cognitive impairment, with an estimated 40% of individuals with PD presenting symptoms of at least mild cognitive impairment; and depression. Furthermore, PD symptom severity is known to increase with age.5 Research has shown that exposures to physical activity (PA) may delay the symptomatic progression of PD, and a recent meta-analysis revealed that engaging in dance, when compared to other modes of PA behavior, confers especial protective benefits across motor and cognitive outcomes. Surprisingly, the PA dose administered across some studies of dance has gone unmeasured and is therefore unknown. This is because various modes of dance are known to elicit different PA intensities, and PA intensity is further influenced by intra-individual factors. Because accurate measures of PA intensity are essential for determining an optimal PA dose within dose-response research, additional research that accurately quantifies the absolute and relative intensities of dance behaviors is needed to advance research on dance and health among adults living with PD. Of the PD sequela that appear sensitive to dance exposures, studies have demonstrated protective benefits across motor symptoms, in addition to cognitive and mental health outcomes, after 3 - 12 months of participation in dance. However, little is known about the PA intensities of the dance behaviors that led to these reported outcomes, which therefore limits present understanding of the dose of dance required to yield reproducible results. Dance for PD (Collaborator: Leventhal), a codified dance program for adults living with PD, has been well-studied. During a Dance for PD class, participants dance, with music, while in a chair, standing, and while ambulatory. With wide acceptability, Dance for PD offers an ideal experimental paradigm in which to systematically monitor and quantify the intensity of dance behaviors among adults with PD. Wearable sensors and cameras can be used to estimate PA intensities at individual and group levels. Building upon our prior work, our group is currently collecting camera, wearable sensor, and cardiopulmonary data in an ongoing clinical trial (PI: McCullough) to train algorithms that predict PA intensity during solo, free-form dance behavior. Preliminary results show healthy adults ages 18 to 75, with and without prior dance training, who intend to dance free-form at light-to-moderate intensities engage in dance at an average 4.4-6.0 metabolic equivalent (METs) (i.e., moderate-to-vigorous PA intensities). Age and body mass index are inversely associated with METs, and dancing with music is positively associated with METs. Dance for PD sessions include a range of structured and free-form activities performed with music; their codified framework affords participants multiple opportunities to modulate their PA behavior and intensity in community- and home-based settings. In view of our preliminary results that show multiple factors may impact the PA intensity of dance behavior, additional research is needed to better understand the dose of PA received during Dance for PD sessions. Therefore, we aim to: 1a) Train PA classifiers to detect the absolute and relative PA intensities of Dance for PD sessions within a cohort of N=30 Dance for PD participants in a community-based setting. To test this aim, 2D/3D cameras and triaxial accelerometers will be used to continuously record behavioral and kinematic data during group-based Dance for PD sessions. Indirect calorimeters and wireless heart rate sensors will be used to continuously monitor oxygen uptake and heart rate during multiple Dance for PD sessions. Oxygen uptake and heart rate data will serve as the ground truth, with signal features derived from the camera and wearable sensor data as key predictors. Hypothesis: Sensor-derived signal features can respectively be used to train algorithms to accurately classify the PA intensity of dance during Dance for PD sessions at both individual and group levels. 1b) Estimate associations between PA intensities observed during Dance for PD sessions and respective individual-level factors. To test this aim, estimates of the absolute and relative intensities of Dance for PD (aim 1) exposures will be respectively adjusted for body fat percentage, PD motor symptom severity, years since PD diagnosis, free-living activity, cognitive function, sex, and age. Hypothesis: Adjusting for clinical, demographic, anthropometric, and behavioral covariates will improve the accuracy of PA intensity classifiers. 2\) Characterize the relative intensity of Dance for PD sessions within home-based settings. To test this aim, N=30 adults will wear heart rate monitors while engaged in Dance for PD sessions at home. Heart rate data will be used to calculate the relative intensity of home-based Dance for PD sessions. Hypothesis: Engaging in Dance for PD at home will elicit light to moderate intensity physical activity bouts.