Preferences for physical activity: a conjoint analysis involving people with chronic knee pain.

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 betwee

SUBMITTER: Pinto D 

PROVIDER: S-EPMC6348123 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature