Preferences for Physical Activity: a Conjoint Analysis Involving People with Chronic Knee Pain

Authors

Daniel Pinto, Marquette UniversityFollow
Ulf Bockenholt, Northwestern University
Jungwha Lee, Northwestern University
Rowland W. Chang, Northwestern UniversityFollow
Leena Sharma, Northwestern UniversityFollow
Daniel J. Finn, Northwestern University
Allen W. Heinemann, Shirley Ryan AbilityLabFollow
Jane Louise Holl, Northwestern University
Paul D. Hansen, University of Otago

Document Type

Article

Language

eng

Publication Date

2-2019

Publisher

Elsevier

Source Publication

Osteoarthritis and Cartilage

Source ISSN

1063-4584

Abstract

Objective

To investigate individual preferences for physical activity (PA) attributes in adults with chronic knee pain, to identify clusters of individuals with similar preferences, and to identify whether individuals in these clusters differ by their demographic and health characteristics.

Design

An adaptive conjoint analysis (ACA) was conducted using the Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) method to determine preference weights representing the relative importance of six PA attributes. Cluster analysis was performed to identify clusters of participants with similar weights. Chi-square and ANOVA were used to assess differences in individual characteristics by cluster. Multinomial logistic regression was used to assess associations between individual characteristics and cluster assignment.

Results

The study sample included 146 participants; mean age 65, 72% female, 47% white, non-Hispanic. The six attributes (mean weights in parentheses) are: health benefit (0.26), enjoyment (0.24), convenience (0.16), financial cost (0.13), effort (0.11) and time cost (0.10). Three 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.

Conclusions

Patients with chronic knee pain have preferences for PA that can be distinguished effectively using ACA methods. Adults with chronic knee pain, clustered by PA preferences, share distinguishing characteristics. Understanding preferences may help clinicians and researchers to better tailor PA interventions.

Comments

Accepted version. Osteoarthritis and Cartilage, Vol. 27, No. 2 (February 2019) : 240-247. DOI. © 2019 Elsevier. Used with permission.

Recommended Citation

Pinto, Daniel; Bockenholt, Ulf; Lee, Jungwha; Chang, Rowland W.; Sharma, Leena; Finn, Daniel J.; Heinemann, Allen W.; Holl, Jane Louise; and Hansen, Paul D., "Preferences for Physical Activity: a Conjoint Analysis Involving People with Chronic Knee Pain" (2019). Physical Therapy Faculty Research and Publications. 169.
https://epublications.marquette.edu/phys_therapy_fac/169