Factors Associated with Adherence To a Supervised Exercise Intervention for Osteoarthritis : Data From the Swedish Osteoarthritis Registry
(2023) In Arthritis Care and Research- Abstract
OBJECTIVE: To explore how lifestyle and demographic, socioeconomic and disease-related factors are associated with supervised exercise adherence in an osteoarthritis (OA) management programme and their ability 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 programme. 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 R2 .
RESULTS: Our sample comprises 19,750 (73% female sex; age: 67 (SD: 8.94)) participants. Among them, 5,862... (More)
OBJECTIVE: To explore how lifestyle and demographic, socioeconomic and disease-related factors are associated with supervised exercise adherence in an osteoarthritis (OA) management programme and their ability 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 programme. 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 R2 .
RESULTS: Our sample comprises 19,750 (73% female sex; age: 67 (SD: 8.94)) participants. 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 n=16,685 (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% CI 1.01-1.02 (per year)), and the 'arthritis-specific self-efficacy' (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 (0.82, 95% CI [0.75-0.89]), having a 'medium' (0.89, 95% CI [0.81; 0.98] or a 'high' level of education (0.84, 95% CI [0.76-0.94]). Nevertheless, the investigating factors could explain 1% of the variability in exercise adherence (R2 = 0.012).
CONCLUSION: Despite the associations reported above, the low-explained variability suggests that strategies based on lifestyle and demographic, socioeconomic and disease-related factors are unlikely to improve exercise adherence significantly.
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- author
- Battista, Simone
LU
; Kiadaliri, Ali LU
; Jönsson, Thérése LU ; Gustafsson, Kristin ; Englund, Martin LU
; Testa, Marco and Dell'Isola, Andrea LU
- organization
- publishing date
- 2023-04-18
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Arthritis Care and Research
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:37070612
- scopus:85159053099
- ISSN
- 2151-4658
- DOI
- 10.1002/acr.25135
- project
- A Multi-Method Analysis of the Cultural, Sociodemographic and Economic Elements in Osteoarthritis Care
- language
- English
- LU publication?
- yes
- additional info
- This article is protected by copyright. All rights reserved.
- id
- 507a7329-faa2-49f7-b8fc-20a0acdc074b
- date added to LUP
- 2023-04-19 18:32:36
- date last changed
- 2024-06-15 02:00:40
@article{507a7329-faa2-49f7-b8fc-20a0acdc074b, abstract = {{<p>OBJECTIVE: To explore how lifestyle and demographic, socioeconomic and disease-related factors are associated with supervised exercise adherence in an osteoarthritis (OA) management programme and their ability to explain exercise adherence.</p><p>METHODS: A cohort register-based study on participants from the 'Swedish Osteoarthritis Registry' who attended the exercise part of a nationwide Swedish OA management programme. 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 R2 .</p><p>RESULTS: Our sample comprises 19,750 (73% female sex; age: 67 (SD: 8.94)) participants. 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 n=16,685 (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% CI 1.01-1.02 (per year)), and the 'arthritis-specific self-efficacy' (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 (0.82, 95% CI [0.75-0.89]), having a 'medium' (0.89, 95% CI [0.81; 0.98] or a 'high' level of education (0.84, 95% CI [0.76-0.94]). Nevertheless, the investigating factors could explain 1% of the variability in exercise adherence (R2 = 0.012).</p><p>CONCLUSION: Despite the associations reported above, the low-explained variability suggests that strategies based on lifestyle and demographic, socioeconomic and disease-related factors are unlikely to improve exercise adherence significantly.</p>}}, author = {{Battista, Simone and Kiadaliri, Ali and Jönsson, Thérése and Gustafsson, Kristin and Englund, Martin and Testa, Marco and Dell'Isola, Andrea}}, issn = {{2151-4658}}, language = {{eng}}, month = {{04}}, publisher = {{John Wiley & Sons Inc.}}, series = {{Arthritis Care and Research}}, title = {{Factors Associated with Adherence To a Supervised Exercise Intervention for Osteoarthritis : Data From the Swedish Osteoarthritis Registry}}, url = {{http://dx.doi.org/10.1002/acr.25135}}, doi = {{10.1002/acr.25135}}, year = {{2023}}, }