Long-term changes in physical activity following a one-year home-based physical activity counseling program in older adults with multiple morbidities.
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This study assessed the sustained effect of a physical activity (PA) counseling intervention on PA one year after intervention, predictors of sustained PA participation, and three classes of post-intervention PA trajectories (improvers, maintainers, and decliners) in 238 older Veterans. Declines in minutes of PA from 12 to 24 months were observed for both the treatment and control arms of the study. PA at 12 months was the strongest predictor of post-intervention changes in PA. To our surprise, those who took up the intervention and increased PA levels the most, had significant declines in post-intervention PA. Analysis of the three post-intervention PA trajectories demonstrated that the maintenance group actually reflected a group of nonresponders to the intervention who had more comorbidities, lower self-efficacy, and worse physical function than the improvers or decliners. Results suggest that behavioral counseling/support must be ongoing to promote maintenance. Strategies to promote PA appropriately to subgroups of individuals are needed.
Published Version (Please cite this version)10.4061/2011/308407
Publication InfoHall, KS; Sloane, R; Pieper, CF; Peterson, MJ; Crowley, GM; Cowper, PA; ... Morey, MC (2010). Long-term changes in physical activity following a one-year home-based physical activity counseling program in older adults with multiple morbidities. J Aging Res, 2011. pp. 308407. 10.4061/2011/308407. Retrieved from https://hdl.handle.net/10161/8479.
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Professor in Population Health Sciences
Dr. Bosworth is a health services researcher and Associate Director of the Center for Health Services Research in Primary Care at the Durham VA Medical Center. He is also a Professor of Medicine, Psychiatry, and Nursing at Duke University Medical Center and Adjunct Professor in Health Policy and Administration at the School of Public Health at the University of North Carolina at Chapel Hill. His research interests comprise three overarching areas of research: 1) clinical research that provide
Associate Professor in Medicine
Research Interests: À Cost-Effectiveness of Alternative Treatments; À Clinical and Economic Implications of Changing Care Patterns
Associate Professor in Medicine
My research is focused on developing evidence-based physical activity interventions for older adults with an eye to preserving functional independence and quality of life. I am particularly interested in developing exercise programs to promote physical and psychological well-being among older veterans with posttraumatic stress disorder (PTSD).
Associate Professor in the School of Nursing
Dr. McConnell's program of research focuses on factors that influence functional decline in very frail older adults. She has been funded by the National Institute of Nursing Research and the Department of Veterans Affairs to conduct a series of studies designed to identify modifiable risk factors for worsening self-care disability in long-stay nursing home residents with chronic cognitive impairment. She has also developed and tested a variety of interventions to modify risk
Professor in Medicine
The general focus of Dr. Morey's work is exercise and aging. All of her research examines how physical activity, exercise training, or physical fitness influence the physical functioning and/or pyschosocial quality of life of older adults. She directs a supervised hospital-based program for older adults, which is used to examine longitudinally the effects of exercise training on the musculoskeletal, articular, and cardiorespiratory systems. Furthermore, she has a number of studies that e
Adjunct Associate Professor in the Department of Medicine
Associate Professor of Biostatistics & Bioinformatics
Analytic Interests. 1) Issues in the Design of Medical Experiments: I explore the use of reliability/generalizability models in experimental design. In addition to incorporation of reliability, I study powering longitudinal trials with multiple outcomes and substantial missing data using Mixed models. 2) Issues in the Analysis of Repeated Measures Designs & Longitudinal Data: Use of Hierarchical Linear Models (HLM) or Mixed Models in modeling trajectories of multipl
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