Differences between completely physically inactive and low active older men and their response to an exercise intervention: the Veterans LIFE study.
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2015-01
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Physical activity interventions typically do not report behavioral changes in activity sub-groups. The aim of this study was to compare baseline differences and changes in physical activity between truly physically inactive men and low active men enrolled in a twelve-month, home-based physical activity intervention.Veterans with a mean age of 77.6 years were randomized to either a physical activity intervention or usual care. Measures included self-reported physical activity, physical function, and physical performance.At baseline, the physically inactive group reported more symptoms and poorer functioning than the low active group. At 12 months, physically inactive men randomized to the intervention group increased their physical activity to an average of 73.3 minutes per week. Physically inactive individuals randomized to the control group were eight times more likely to remain inactive compared to the low active group.Completely physically inactive older men can markedly increase physical activity levels with a long-term intervention. Without such intervention, the likelihood of this group remaining inactive is eightfold.
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Peterson, Matthew J, Carl F Pieper, Richard Sloane, Gail M Crowley, Patricia A Cowper, Eleanor S McConnell, Hayden B Bosworth, Carola C Ekelund, et al. (2015). Differences between completely physically inactive and low active older men and their response to an exercise intervention: the Veterans LIFE study. Healthy aging research, 4. 10.12715/har.2015.4.36 Retrieved from https://hdl.handle.net/10161/17208.
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Matthew John Peterson
Dr. Peterson's broad research interests are in aging and functional decline. He has been an investigator on VA, NIH, and foundation funded clinical trials and clinical demonstration projects that examined the effect of physical activity on the mobility and function in older adults from both institutionalized and community dwelling populations. Currently Dr. Peterson is a tenured Associate Professor in the University of North Carolina Wilmington School of Nursing, where he teaches epidemiology, statistics, and advanced scientific writing. He also provides statistical support for UNCW nursing faculty on multiple federal and foundation funded projects.
Carl F. Pieper
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 multiple variables over time (e.g., physical and cognitive functioning and Blood Pressure). My current work involves methodologies in simultaneous estimation of trajectories for multiple variables within and between domains, modeling co-occuring change.
Areas of Substantive interest: (1) Experimental design and analysis in gerontology and geriatrics, and psychiatry,
(2) Multivariate repeated measures designs,
Eleanor Schildwachter McConnell
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 factors for worsening disability. Her research builds upon existing knowledge of the bio-physical determinants of disability as conceptualized in the Nagi Disablement Model. Dr. McConnell's academic interests include frailty in the aged, the role of the environment in promoting function, and the conduct and testing of nursing interventions to prevent decline in those with chronic illness.
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