Construction Technology
Will McLean, Pete Silver
Abstract
Objective.To explore how lifestyle and demographic, socioeconomic, and disease-related factors are associated with supervised exercise adherence in an osteoarthritis (OA) management program and the ability of these factors to explain exercise adherence.Methods.A cohort register-based study on participants from the Swedish Osteoarthritis Registry who attended the exercise part of a nationwide Swedish OA management program.We ran a multinomial logistic regression to determine the association of exercise adherence with the abovementioned factors.We calculated their ability to explain exercise adherence with the McFadden R 2 .Results.Our sample comprises 19,750 participants (73% female, mean ± SD age 67 ± 8.9 years).Among them, 5,862 (30%) reached a low level of adherence, 3,947 (20%) a medium level, and 9,941 (50%) a high level.After a listwise deletion, the analysis was run on 16,685 participants (85%), with low levels of adherence as the reference category.Some factors were positively associated with high levels of adherence, such as older age (relative risk ratio [RRR] 1.01 [95% confidence interval (95% CI) 1.01-1.02]per year), and the arthritis-specific self-efficacy (RRR 1.04 [95% CI 1.02-1.07]per 10-point increase).Others were negatively associated with high levels of adherence, such as female sex (RRR 0.82 [95% CI 0.75-0.89]),having a medium (RRR 0.89 [95% CI 0.81-0.98]or a high level of education ).Nevertheless, the investigating factors could explain 1% of the variability in exercise adherence (R 2 = 0.012).Conclusion.Despite the associations reported above, the poorly explained variability suggests that strategies based on lifestyle and demographic, socioeconomic, and disease-related factors are unlikely to improve exercise adherence significantly.