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Factors Associated with Adherence To a Supervised Exercise Intervention for Osteoarthritis : Data From the Swedish Osteoarthritis Registry

Battista, Simone LU orcid ; Kiadaliri, Ali LU orcid ; Jönsson, Thérése LU ; Gustafsson, Kristin ; Englund, Martin LU orcid ; Testa, Marco and Dell'Isola, Andrea LU (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
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Arthritis Care and Research
publisher
John Wiley & Sons Inc.
external identifiers
  • scopus:85159053099
  • pmid:37070612
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
2025-10-20 08:22:05
@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}},
}