Identifying subgroups that succeed or fail with three levels of physical activity intervention: The activity counseling trial. |
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Authors: | King, Abby C. Marcus, Bess Ahn, David Dunn, Andrea L. Rejeski, W. Jack Sallis, James F. Coday, Mace |
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Abstract: | The authors used recursive partitioning methods to identify combinations of baseline characteristics that predict 2-year physical activity success in each of 3 physical activity interventions delivered in the multisite Activity Counseling Trial. The sample consisted of 874 initially sedentary primary care patients, ages 35-75 years, who were at risk for cardiovascular disease. Predictors of 2-year success were specific to each intervention and represented a range of domains, including physiological, demographic, psychosocial, health-related, and environmental variables. The results indicate how specific patient subgroups (e.g., obese, unfit individuals; high-income individuals in stable health) may respond differently to varying levels and amounts of professional assistance and support. The methods used provide a practical first step toward identifying clinically meaningful patient subgroups for further systematic investigation. (PsycINFO Database Record (c) 2010 APA, all rights reserved) |
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Keywords: | physical activity exercise intervention primary care signal detection methods sedentary primary care patients |
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