Medicine and Health Sciences Commons^™

Cardiorespiratory Fitness As A Vital Sign Of Cvd Risk In The Covid-19 Era, Matthew P. Harber, James E. Peterman, Mary Imboden, Leonard Kaminsky, Ruth E.M. Ashton, Ross Arena, Mark A. Faghy

Faculty Publications - Department of Kinesiology

The severe health consequences of the corona virus disease 2019 (COVID-19) pandemic have been exacerbated by the prevalence of cardiovascular disease (CVD) risk factors, such as physical inactivity, obesity, hypertension, and diabetes. Further, policy decisions during the pandemic augmented unhealthy lifestyle behaviors and health inequalities, likely increasing the global disease burden. Cardiorespiratory fitness (CRF) is a well-established biomarker associated with CVD risk. Emerging data demonstrate that high CRF offers some protection against severe outcomes from COVID-19 infection, highlighting the importance of CRF for population health and the potential for limiting the severity of future pandemics. CRF is best assessed by …

Physical Activity Promotion In The Evolving Work Landscape, Laurie P. Whitsel, Elizabeth Ablah, Nicolaas P. Pronk, Frederique Huneycutt, Mary T. Imboden, David Anderson, Neil E. Peterson, Samantha Yocke, Chase Sterling, Anna L. Zendell, Janet R. Wojcik

Faculty Publications - Department of Kinesiology

How and where we do our work is changing in the United States across industry, government, and non-profit sectors. This evolving landscape includes downsized office space, the reduction of corporate fitness centers, decreased daily commutes, increased hybrid or remote work environments, and experiments with the length of the work week. While some of these changes may prove transient, others will likely be permanent changes affecting the context of work. Some occupations require in-person work settings, especially in the health care, education, travel and food processing sectors. Many of these employees are experiencing burnout after prolonged overtime work and stressful pandemic-related …

Pedometer Feedback Interventions Increase Daily Physical Activity In Phase Iii Cardiac Rehabilitation Participants, Cemal Ozemek, Scott J. Strath, Katrina Riggin, Matthew P. Harber, Mary T. Imboden, Leonard A. Kaminsky

Faculty Publications - Department of Kinesiology

Purpose: To determine the effects of individually tailored interventions designed to increase physical activity (PA) in cardiac patients.

Methods: A total of 99 (77 men and 22 women, 61.5 ± 10.7 yr) patients entering a phase III cardiac rehabilitation program completed a 12-wk PA intervention. Patients were randomized to usual care (UC, time-based recommendation), pedometer feedback (PF), newsletter-based motivational messaging (MM), or PF + MM. Both PF groups were given a goal of increasing steps/d by 10% of individual baseline value each week. If the goal for the week was not reached, the same goal was used for the next …

Development Of Cut-Points For Determining Activity Intensity From A Wrist-Worn Actigraph Accelerometer In Free-Living Adults, Alexande H.K. Montoye, Kimberly A. Clevenger, Karin A. Pfeiffer, Michael B. Nelson, Joshua M. Bock, Mary T. Imboden, Leonard A. Kaminsky

Faculty Publications - Department of Kinesiology

Despite recent popularity of wrist-worn accelerometers for assessing free-living physical behaviours, there is a lack of user-friendly methods to characterize physical activity from a wrist-worn ActiGraph accelerometer. Participants in this study completed a laboratory protocol and/or 3–8 hours of directly observed free-living (criterion measure of activity intensity) while wearing ActiGraph GT9X Link accel- erometers on the right hip and non-dominant wrist. All laboratory data (n = 36) and 11 participants’ free- living data were used to develop vector magnitude count cut-points (counts/min) for activity intensity for the wrist-worn accelerometer, and 12 participants’ free-living data were used to cross-validate cut-point accuracy. …

Validation Of Accelerometer-Based Energy Expenditure Prediction Models In Structured And Simulated Free-Living Settings, Alexander H. K. Montoye, Scott A. Conger, Christopher P. Connolly, Mary T. Imboden, M. Benjamin Nelson, Josh M. Bock, Leonard A. Kaminsky

Faculty Publications - Department of Kinesiology

This study compared accuracy of energy expenditure (EE) prediction models from accelerometer data collected in structured and simulated free-living settings. Twenty-four adults (mean age 45.8 years, 50% female) performed two sessions of 11 to 21 activities, wearing four ActiGraph GT9X Link activity monitors (right hip, ankle, both wrists) and a metabolic analyzer (EE criterion). Visit 1 (V1) involved structured, 5-min activities dictated by researchers; Visit 2 (V2) allowed participants activity choice and duration (simulated free-living). EE prediction models were developed incorporating data from one setting (V1/V2; V2/V2) or both settings (V1V2/V2). The V1V2/V2 method had the lowest root mean square …