@article{battista_factors_2023,
	title = {Factors {Associated} {With} {Adherence} to a {Supervised} {Exercise} {Intervention} for {Osteoarthritis}: {Data} {From} the {Swedish} {Osteoarthritis} {Registry}},
	volume = {75},
	issn = {2151-4658},
	shorttitle = {Factors {Associated} {With} {Adherence} to a {Supervised} {Exercise} {Intervention} for {Osteoarthritis}},
	doi = {10.1002/acr.25135},
	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 R2 .
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 (RRR 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 poorly explained variability suggests that strategies based on lifestyle and demographic, socioeconomic, and disease-related factors are unlikely to improve exercise adherence significantly.},
	language = {eng},
	number = {10},
	journal = {Arthritis Care \& Research},
	author = {Battista, Simone and Kiadaliri, Ali and Jönsson, Thérése and Gustafsson, Kristin and Englund, Martin and Testa, Marco and Dell'Isola, Andrea},
	month = oct,
	year = {2023},
	pmid = {37070612},
	keywords = {Aged, Exercise, Exercise Therapy, Female, Humans, Male, Middle Aged, Osteoarthritis, Osteoarthritis, Knee, Registries, Sweden},
	pages = {2117--2126},
}

{"_id":"aKuZ4sdTjeTqFszS2","bibbaseid":"battista-kiadaliri-jnsson-gustafsson-englund-testa-dellisola-factorsassociatedwithadherencetoasupervisedexerciseinterventionforosteoarthritisdatafromtheswedishosteoarthritisregistry-2023","author_short":["Battista, S.","Kiadaliri, A.","Jönsson, T.","Gustafsson, K.","Englund, M.","Testa, M.","Dell'Isola, A."],"bibdata":{"bibtype":"article","type":"article","title":"Factors Associated With Adherence to a Supervised Exercise Intervention for Osteoarthritis: Data From the Swedish Osteoarthritis Registry","volume":"75","issn":"2151-4658","shorttitle":"Factors Associated With Adherence to a Supervised Exercise Intervention for Osteoarthritis","doi":"10.1002/acr.25135","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 R2 . 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 (RRR 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 poorly explained variability suggests that strategies based on lifestyle and demographic, socioeconomic, and disease-related factors are unlikely to improve exercise adherence significantly.","language":"eng","number":"10","journal":"Arthritis Care & Research","author":[{"propositions":[],"lastnames":["Battista"],"firstnames":["Simone"],"suffixes":[]},{"propositions":[],"lastnames":["Kiadaliri"],"firstnames":["Ali"],"suffixes":[]},{"propositions":[],"lastnames":["Jönsson"],"firstnames":["Thérése"],"suffixes":[]},{"propositions":[],"lastnames":["Gustafsson"],"firstnames":["Kristin"],"suffixes":[]},{"propositions":[],"lastnames":["Englund"],"firstnames":["Martin"],"suffixes":[]},{"propositions":[],"lastnames":["Testa"],"firstnames":["Marco"],"suffixes":[]},{"propositions":[],"lastnames":["Dell'Isola"],"firstnames":["Andrea"],"suffixes":[]}],"month":"October","year":"2023","pmid":"37070612","keywords":"Aged, Exercise, Exercise Therapy, Female, Humans, Male, Middle Aged, Osteoarthritis, Osteoarthritis, Knee, Registries, Sweden","pages":"2117–2126","bibtex":"@article{battista_factors_2023,\n\ttitle = {Factors {Associated} {With} {Adherence} to a {Supervised} {Exercise} {Intervention} for {Osteoarthritis}: {Data} {From} the {Swedish} {Osteoarthritis} {Registry}},\n\tvolume = {75},\n\tissn = {2151-4658},\n\tshorttitle = {Factors {Associated} {With} {Adherence} to a {Supervised} {Exercise} {Intervention} for {Osteoarthritis}},\n\tdoi = {10.1002/acr.25135},\n\tabstract = {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.\nMETHODS: 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 R2 .\nRESULTS: 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 (RRR 0.84 [95\\% CI 0.76-0.94]). Nevertheless, the investigating factors could explain 1\\% of the variability in exercise adherence (R2 = 0.012).\nCONCLUSION: 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.},\n\tlanguage = {eng},\n\tnumber = {10},\n\tjournal = {Arthritis Care \\& Research},\n\tauthor = {Battista, Simone and Kiadaliri, Ali and Jönsson, Thérése and Gustafsson, Kristin and Englund, Martin and Testa, Marco and Dell'Isola, Andrea},\n\tmonth = oct,\n\tyear = {2023},\n\tpmid = {37070612},\n\tkeywords = {Aged, Exercise, Exercise Therapy, Female, Humans, Male, Middle Aged, Osteoarthritis, Osteoarthritis, Knee, Registries, Sweden},\n\tpages = {2117--2126},\n}\n\n","author_short":["Battista, S.","Kiadaliri, A.","Jönsson, T.","Gustafsson, K.","Englund, M.","Testa, M.","Dell'Isola, A."],"key":"battista_factors_2023","id":"battista_factors_2023","bibbaseid":"battista-kiadaliri-jnsson-gustafsson-englund-testa-dellisola-factorsassociatedwithadherencetoasupervisedexerciseinterventionforosteoarthritisdatafromtheswedishosteoarthritisregistry-2023","role":"author","urls":{},"keyword":["Aged","Exercise","Exercise Therapy","Female","Humans","Male","Middle Aged","Osteoarthritis","Osteoarthritis","Knee","Registries","Sweden"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://api.zotero.org/groups/5155143/items?key=IVTAjWy1U5EkGJqE2Z2qQCfh&format=bibtex&limit=100","dataSources":["5jEuhQhgRx3py8LmG","LPTeGao77ndnG4Tks"],"keywords":["aged","exercise","exercise therapy","female","humans","male","middle aged","osteoarthritis","osteoarthritis","knee","registries","sweden"],"search_terms":["factors","associated","adherence","supervised","exercise","intervention","osteoarthritis","data","swedish","osteoarthritis","registry","battista","kiadaliri","jönsson","gustafsson","englund","testa","dell'isola"],"title":"Factors Associated With Adherence to a Supervised Exercise Intervention for Osteoarthritis: Data From the Swedish Osteoarthritis Registry","year":2023}