Patients with chronic knee pain have preferences for physical activity (PA) that can be distinguished effectively using adaptive conjoint analysis (ACA) methods, a recent study found. Furthermore, adults with chronic knee pain, clustered by PA preferences, share distinguishing characteristics. An ACA was conducted using the Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) method to determine preference weights representing the relative importance of 6 PA attributes (mean weights in parentheses): health benefit (0.26), enjoyment (0.24), convenience (0.16), financial cost (0.13), effort (0.11), and time cost (0.10). The study sample included 146 participants; mean age 65, 72% female, 47% white, non-Hispanic. Researchers found:
- 3 clusters were identified: Cluster 1 (n=33): for whom enjoyment (0.35) is twice as important as health benefit; Cluster 2 (n=63): for whom health benefit (0.38) is most important; and Cluster 3 (n=50): for whom cost (0.18), effort (0.18), health benefit (0.17) and enjoyment (0.18) are equally important.
- Cluster 1 was healthiest, Cluster 2 most self-efficacious, and Cluster 3 was in poorest health.
Pinto D, Bockenholt U, Lee J, et al. Preferences for physical activity: A conjoint analysis involving people with chronic knee pain. [Published online ahead of print October 15, 2018]. Osteoarthritis Cartilage. doi:10.1016/j.joca.2018.10.002.
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