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Research ArticleOsteoarthritis

Five-year Evolution Patterns of Physical Activity and Sedentary Behavior in Patients with Lower-limb Osteoarthritis and Their Sociodemographic and Clinical Correlates

Sarah Bitar, Abdou Y. Omorou, Aurélie Van Hoye, Francis Guillemin and Anne-Christine Rat
The Journal of Rheumatology December 2020, 47 (12) 1807-1814; DOI: https://doi.org/10.3899/jrheum.190854
Sarah Bitar
1S. Bitar, MPH, A. Omorou, MD, PhD, F. Guillemin, PU-PH, Université de Lorraine, APEMAC, and CHRU-Nancy, INSERM, Université de Lorraine, CIC, Epidémiologie Clinique, Nancy;
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  • For correspondence: s.bitar@chru-nancy.fr
Abdou Y. Omorou
1S. Bitar, MPH, A. Omorou, MD, PhD, F. Guillemin, PU-PH, Université de Lorraine, APEMAC, and CHRU-Nancy, INSERM, Université de Lorraine, CIC, Epidémiologie Clinique, Nancy;
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Aurélie Van Hoye
2A. Van Hoye, PhD, Université de Lorraine, APEMAC, Nancy;
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Francis Guillemin
1S. Bitar, MPH, A. Omorou, MD, PhD, F. Guillemin, PU-PH, Université de Lorraine, APEMAC, and CHRU-Nancy, INSERM, Université de Lorraine, CIC, Epidémiologie Clinique, Nancy;
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Anne-Christine Rat
3A.C. Rat, MD, PhD, Université de Lorraine, APEMAC, Nancy, and Centre Hospitalier Universitaire Caen Normandie, Service de Rhumatologie Département, Caen, France.
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Abstract

Objective The present study aimed to identify trajectories of physical activity (PA) components (frequency, duration, intensity, and type) and screen-based sedentary behavior (SB) as well as baseline predictors of each trajectory in patients with hip and/or knee osteoarthritis (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 3 for SB. High and decreasing PA duration was associated with female sex (OR 0.3, 95% CI 0.1–0.5) as was low and stable, more so than high and decreasing prevalence of weight-bearing activities (OR 0.6, 95% CI 0.4–0.9). Patients with impaired patient-reported outcome measures and obese patients often featured low versus high and decreasing prevalence of weight-bearing activities. Predictors of moderate and high versus low and slightly increasing screen-based SB trajectories were male sex, age < 60 years, single status (OR 1.5, 95% CI 1.1–2.1), obesity (OR 2.1, 95% CI 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 associated mainly with PA frequency and type. No clinical characteristics were associated with screen-based SB.

Key Indexing Terms:
  • group-based trajectory analysis
  • osteoarthritis
  • physical activity
  • sedentary behavior
  • Accepted for publication February 28, 2020.
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The Journal of Rheumatology
Vol. 47, Issue 12
1 Dec 2020
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Five-year Evolution Patterns of Physical Activity and Sedentary Behavior in Patients with Lower-limb Osteoarthritis and Their Sociodemographic and Clinical Correlates
Sarah Bitar, Abdou Y. Omorou, Aurélie Van Hoye, Francis Guillemin, Anne-Christine Rat
The Journal of Rheumatology Dec 2020, 47 (12) 1807-1814; DOI: 10.3899/jrheum.190854

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Five-year Evolution Patterns of Physical Activity and Sedentary Behavior in Patients with Lower-limb Osteoarthritis and Their Sociodemographic and Clinical Correlates
Sarah Bitar, Abdou Y. Omorou, Aurélie Van Hoye, Francis Guillemin, Anne-Christine Rat
The Journal of Rheumatology Dec 2020, 47 (12) 1807-1814; DOI: 10.3899/jrheum.190854
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Keywords

group-based trajectory analysis
OSTEOARTHRITIS
PHYSICAL ACTIVITY
sedentary behavior

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