Identifying subgroups that succeed or fail with three levels of physical activity intervention: the Activity Counseling Trial.
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.
King
Abby C
AC
Division of Epidemiology, Department of Health Research and Policy, School of Medicine, Stanford University, Stanford, CA 94305-5705, USA. king@stanford.edu
Marcus
Bess
B
Ahn
David
D
Dunn
Andrea L
AL
Rejeski
W Jack
WJ
Sallis
James F
JF
Coday
Mace
M
D000328:Adult; D000368:Aged; D001294:Attitude to Health; D003376:Counseling; D015444:Exercise / Q000502:physiology*; D005260:Female; D006293:Health Promotion / Q000379:methods*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011320:Primary Health Care; D017603:Signal Detection, Psychological; D014481:United States