Publication Date:
Author(s): Young Won Cho, Yan Huang, Sy-Miin Chow, Lynn M. Martire
Publisher: Oxford University Press
Publication Type: Journal Article
Journal Title: Annals of Behavioral Medicine
Volume: 59
Issue: 1
Abstract:
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.