RT Journal Article SR Electronic T1 Five-year evolution patterns of physical activity and sedentary behavior in patients with lower-limb osteoarthritis and their sociodemographic and clinical correlates JF The Journal of Rheumatology JO J Rheumatol FD The Journal of Rheumatology SP jrheum.190854 DO 10.3899/jrheum.190854 A1 Sarah Bitar A1 Abdou Y. Omorou A1 Aurélie Van Hoye A1 Francis Guillemin A1 Anne-Christine Rat YR 2020 UL http://www.jrheum.org/content/early/2020/03/09/jrheum.190854.abstract AB Objective The present study aimed to identify trajectories of physical activity (PA) components (frequency, duration, intensity, type) and screen-based sedentary behavior (SB) as well as baseline predictors of each trajectory in patients with hip and/or knee OA. Methods We included 878 patients with a 5-year follow-up from the KHOALA cohort. PA and SB were measured by the Modifiable Activity Questionnaire. We used group-based trajectory analysis to identify the trajectories of PA components and screen-based SB, and multivariable logistic regression to determine predictors of the identified trajectories. Results Two groups of trajectories were identified for each PA component and three for SB. High and decreasing PA duration was associated with female sex (odds ratio [OR]=0.3 [95% confidence interval [CI] 0.1-0.5]) as was low and stable than high and decreasing prevalence of weight-bearing activities (OR=0.6 [0.4-0.9]). Patients with impaired patient-reported outcome measure and obese patients often featured low versus high and decreasing prevalence of weightbearing activities. Predictors of moderate and high versus low and slightly increasing screenbased SB trajectories were male sex, age < 60 years, single status (OR=1.5 [1.1-2.1]), obesity (OR=2.1 [1.4-3.1]), smoking (OR=2.0 [95% CI 1.1-3.7]), and less-physical jobs. Predictors of moderate and high versus low screen-based SB trajectories were all sociodemographic: male sex, age < 60 years, single status, obesity, smoking and less-physical jobs. Conclusion Sociodemographic and clinical predictors of trajectories vary between PA components: they are mainly associated with PA frequency and type. No clinical characteristics were associated with screen-based SB.