Chronic disease is a leading cause of morbidity and mortality in the United States. One-half of U.S. adults have at least one chronic disease condition and 25% have multiple chronic conditions that can lead to a restriction in an ability to do basic daily living activities. Low-income adults have a high incidence of chronic disease that increases with aging due to ongoing psychological stress, higher risk exposure, less healthy living conditions, and limited access to health services. Community-based wellness programs, in collaboration with academic institutions, can serve this population by providing access to health services, quality educational and activity-based experiences, and continual assessment and support. Using a multidisciplinary approach, the expertise of numerous faculty, students, and staff can be used to help mitigate a myriad of health conditions presented by this population. This article shares one university’s creation, development, and delivery of an on-campus, multidisciplinary community wellness program for low-income adults.
Royal E. Wohl, Park Lockwood, and Kathy Ure
The papers published in this issue of Kinesiology Review are based on presentations delivered at the 2013 National Academy of Kinesiology meeting held in Colorado Springs, CO from September 19–21, 2013. The theme for the conference was Back to the Future: Refecting on the Past and Envisioning the Future for Kinesiology Research. The goals of the meeting were (a) to provide evidence-based impressions describing the key research discoveries/innovations in kinesiology over the last half century and (b) to project/predict key directions for research over the next 10–20 years.
In maintaining the strong multi-disciplinary spirit of the field of kinesiology, some of the presentations were specific to our sub-disciplines and other presentations were related to physical activity and movement in different populations. The presentations were designed to catalyze discussions about where we came from, how kinesiology has matured, and where we anticipate new knowledge and discovery will take us in the future.
Ian McGinnis, Justin Cobb, Ryan Tierney, and Anne Russ
traumatic brain injury: case series Improvements in dizziness and imbalance results from using a multi-disciplinary and multi-sensory approach to vestibular physical therapy - a case study Study participants 114 patients: Adults = 25 women, 22 men; mean age 41 (range = 19–73) Children = 45 girls, 22 boys
critically intervenes in the study of pleasure through a truly multi-disciplinary approach that centers multiple fields, such as history and psycho-analysis, in investigating pleasure. He refuses to see pleasure as passive, no matter what type of sporting experience one might garner—such as pleasures from
Katrina G. Ritter, Matthew J. Hussey, and Tamara C. Valovich McLeod
for activity resumption following concussion in athletes, civilians, and military service members . J Head Trauma Rehabil . 2013 ; 28 ( 4 ): 250 – 259 . PubMed ID: 22688215 doi:10.1097/HTR.0b013e31825ad658 10.1097/HTR.0b013e31825ad658 22688215 5. Ellis MJ , Leddy J , Willer B . Multi-disciplinary
Emily A. Hall, Dario Gonzalez, and Rebecca M. Lopez
collaborative practice. 14 This multi-disciplinary approach, such as a chiropractor and AT working together on a patient with low back pain, has been shown to result in improved patient care. 14 In addition to decreasing potential role conflict in ATs, the medical model increases a student-athlete’s ability
Salih A. Salih, Nancye M. Peel, Di Enright, and Wendy Marshall
covering three domains including body functions, activities and participation, and environmental factors. A multi-disciplinary case conference led by a geriatrician was conducted weekly to discuss the client’s progress and goal attainment. Goal achievement at the end of the TCP episode was rated as
Yumeng Li, Shuqi Zhang, and Christina Odeh
classification techniques . Informatica . 2007 ; 31 ( 1 ): 249 – 268 . 28. Murthy SK . Automatic construction of decision trees from data: a multi-disciplinary survey . Data Min Knowl Discov . 1998 ; 2 ( 4 ): 345 – 389 . doi:10.1023/A:1009744630224 10.1023/A:1009744630224 29. Breiman L . Random forests
Khaya Morris-Binelli, Sean Müller, and Peter Fadde
studies are important because they highlight that visual-perceptual skills contribute a proportion to in-situ game performance, with this proportion likely to increase as multi-disciplinary tests (e.g., see Weissensteiner, Abernethy, & Farrow, 2009 ) are used to predict game performance. Despite these
Richard P. Troiano
data transformation.” • “Organiz[e] multi-disciplinary teams . . . to develop tools, process data, and perform calibration/validation studies . . ..” • “. . . discontinue development and use of cutpoint methods to define intensity categories . . . .” Device manufacturers were present at the 2009