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dc.contributor.authorHeikkinen, Risto
dc.contributor.authorWaller, Benjamin
dc.contributor.authorMunukka, Matti
dc.contributor.authorMultanen, Juhani
dc.contributor.authorHeinonen, Ari
dc.contributor.authorKarvanen, Juha
dc.date.accessioned2022-07-01T09:26:18Z
dc.date.available2022-07-01T09:26:18Z
dc.date.issued2022
dc.identifier.citationHeikkinen, R., Waller, B., Munukka, M., Multanen, J., Heinonen, A., & Karvanen, J. (2022). Impact or No Impact for Women With Mild Knee Osteoarthritis : A Bayesian Meta-Analysis of Two Randomized Controlled Trials With Contrasting Interventions. <i>Arthritis Care and Research</i>, <i>74</i>(7), 1133-1141. <a href="https://doi.org/10.1002/acr.24553" target="_blank">https://doi.org/10.1002/acr.24553</a>
dc.identifier.otherCONVID_51469606
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/82162
dc.description.abstractObjective: We aim to predict the probability of a benefit from two contrasting exercise programs for a woman with a new diagnosis of mild knee osteoarthritis (OA). The short and long-term effects of aquatic resistance training (ART) and high-impact aerobic land training (HLT) compared with the control will be estimated. Methods: Original data sets from two previously conducted randomised controlled trials (RCT) were combined and used in a Bayesian meta-analysis. Group differences in multiple response variables were estimated. Variables included cardiorespiratory fitness, dynamic maximum leg muscle power, maximal isometric knee extension and flexion force, pain, other symptoms and quality of life. The statistical model included a latent commitment variable for each female participant. Results: ART has 55% - 71% probability of benefits in the outcome variables and as the main effect, the intervention outperforms the control in cardiorespiratory fitness with a probability of 71% immediately after the intervention period. HLT has 46% - 63% probability of benefits after intervention with the outcome variables, but differently from ART, the positive effects of physical performance fade away during the follow-up period. Overall, the differences between groups were small and the variation in the predictions between individuals was high. Conclusions: Both interventions had benefits but ART has a slightly higher probability of long-term benefits on physical performance. Because of high individual variation and no clear advantage of one training method over the other, personal preferences should be considered in the selection of the exercise program to ensure highest commitment to training.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherJohn Wiley & Sons
dc.relation.ispartofseriesArthritis Care and Research
dc.rightsCC BY-NC 4.0
dc.titleImpact or No Impact for Women With Mild Knee Osteoarthritis : A Bayesian Meta-Analysis of Two Randomized Controlled Trials With Contrasting Interventions
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202207013761
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.contributor.oppiaineTilastotiedefi
dc.contributor.oppiaineFysioterapiafi
dc.contributor.oppiaineGerontologia ja kansanterveysfi
dc.contributor.oppiaineStatisticsen
dc.contributor.oppiainePhysiotherapyen
dc.contributor.oppiaineGerontology and Public Healthen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1133-1141
dc.relation.issn2151-464X
dc.relation.numberinseries7
dc.relation.volume74
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 the Authors
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber311877
dc.subject.ysoliikuntahoito
dc.subject.ysonivelrikko
dc.subject.ysolääkinnällinen kuntoutus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p7811
jyx.subject.urihttp://www.yso.fi/onto/yso/p12334
jyx.subject.urihttp://www.yso.fi/onto/yso/p20475
dc.rights.urlhttps://creativecommons.org/licenses/by-nc/4.0/
dc.relation.doi10.1002/acr.24553
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramProfilointi, SAfi
jyx.fundingprogramResearch profiles, AoFen
jyx.fundinginformationThis work belongs to the thematic research area "Decision analytics utilizing causal models and multiobjective optimization" (DEMO) supported by Academy of Finland (grant number 311877). The work was partially supported by the Finnish Cultural Foundation, Central Finland Regional fund.


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