Couple synchrony in physical activity: effects on individuals with knee osteoarthritis
Young Won Cho1, Yan Huang1,2, Sy-Miin Chow1,3
1Human Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, United States.
Background:
Physical activity (PA) is crucial for managing osteoarthritis (OA) symptoms, but maintaining an active lifestyle remains challenging. Given the influence of spouses on each other's health behaviors, PA synchrony-the concurrent PA engagement between partners-may enhance PA levels and emotional well-being in individuals with knee osteoarthritis (IKOAs).
Purpose:
We investigate whether daily PA synchrony in couples is associated with PA levels and emotional well-being in IKOAs.
Methods:
We analyzed 22 days of actigraphy data from 140 couples, each with 1 partner with knee OA (IKOAs: age 50-92, M = 65.3; 42% male). PA synchrony was operationalized as the association between partners' PA levels measured concurrently within each 1-hour time window throughout the day. Using multilevel structural equation modeling, synchrony was estimated and decomposed into 2 components: day level (capturing daily fluctuations) and couple level (reflecting overall average synchrony). Associations between synchrony at each level and IKOAs' PA and emotional well-being were examined. We accounted for shared diurnal rhythms in PA, a potential source of spurious synchrony, to enhance the precision of synchrony estimates.
Results:
While couples generally showed synchronized PA, there were significant day-to-day fluctuations. On days when couples exhibited higher-than-usual PA synchrony, IKOAs engaged in significantly more PA. Regarding emotional well-being, increased daily synchrony was associated with higher positive and lower negative affect.
Conclusions:
Findings highlight the importance of separating short-term fluctuations from stable couple dynamics. Findings suggest that promoting short-term synchronized PA between partners may improve both PA and emotional well-being in IKOAs. Our analytic framework is broadly applicable to couple-based research on shared health behaviors.
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