Relationship Between Physical Functioning and Physical Activity in the Lifestyle Interventions and Independence for Elders Pilot |
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Authors: | Angela Chalé‐Rush PhD RD Jack M. Guralnik MD PhD Michael P. Walkup MS Michael E. Miller PhD W. Jack Rejeski PhD Jeffrey A. Katula PhD Abby C. King PhD Nancy W. Glynn PhD Todd M. Manini Steven N. Blair Roger A. Fielding PhD |
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Affiliation: | 1. From the Nutrition, Exercise Physiology and Sarcopenia Laboratory, Jean Mayer USDA Human Research Center on Aging, Tufts University, Boston, Massachusetts;2. Laboratory of Epidemiology, Demography and Biometry, National Institute on Aging, Bethesda, Maryland;3. Department of Biostatistics, School of Medicine;4. Department of Health and Exercise Science, Wake Forest University, Winston‐Salem, North Carolina;5. Stanford Prevention Research Center, Department of Medicine, School of Medicine, Stanford University, Stanford, California;6. Department of Epidemiology, Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, Pennsylvania;7. Department of Aging and Geriatric Research, College of Medicine, Institute on Aging, University of Florida, Gainesville, Florida;8. Department of Exercise Science and Epidemiology/Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina. |
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Abstract: | OBJECTIVES: To determine whether participation in usual moderate‐intensity or more‐vigorous physical activity (MVPA) is associated with physical function performance and to identify sociodemographic, psychosocial, and disease‐related covariates that may also compromise physical function performance. DESIGN: Cross‐sectional analysis of baseline variables of a randomized controlled intervention trial. SETTING: Four academic research centers. PARTICIPANTS: Four hundred twenty‐four older adults aged 70 to 89 at risk for mobility disability (scoring <10 on the Short Physical Performance Battery (SPPB)) and able to complete the 400‐m walk test within 15 minutes. MEASUREMENTS: Minutes of MVPA (dichotomized according to above or below 150 min/wk of MVPA) assessed according to the Community Healthy Activities Model Program for Seniors questionnaire, SPPB score, 400‐m walk test, sex, body mass index (BMI), depressive symptoms, age, and number of medications. RESULTS: The SPPB summary score was associated with minutes of MVPA (ρ=0.16, P=.001). In multiple regression analyses, age, minutes of MVPA, number of medications, and depressive symptoms were associated with performance on the composite SPPB (P<.05). There was an association between 400‐m walk time and minutes of MVPA (ρ=?0.18; P<.001). In multiple regression analyses, age, sex, minutes of MVPA, BMI, and number of medications were associated with performance on the 400‐m walk test (P<.05). CONCLUSION: Minutes of MVPA, sex, BMI, depressive symptoms, age, and number of medications are associated with physical function performance and should all be taken into consideration in the prevention of mobility disability. |
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Keywords: | older adults mobility disability physical function performance |
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