000131198 001__ 131198 000131198 005__ 20240207150229.0 000131198 0247_ $$2doi$$a10.1136/bmjopen-2021-052602 000131198 0248_ $$2sideral$$a127045 000131198 037__ $$aART-2021-127045 000131198 041__ $$aeng 000131198 100__ $$aBellosta-López, P. 000131198 245__ $$aEuropean knowledge alliance for innovative measures in prevention of work-related musculoskeletal pain disorders (Prevent4Work Project): Protocol for an international mixed-methods longitudinal study 000131198 260__ $$c2021 000131198 5060_ $$aAccess copy available to the general public$$fUnrestricted 000131198 5203_ $$aIntroduction Work-related musculoskeletal (MSK) pain is a highly prevalent condition and one of the main contributors to disability and loss of work capacity. Current approaches to the management and prevention of work-related MSK pain do not consistently integrate current evidence-based knowledge and seem to be outdated. The Prevent4Work (P4W) Project aims to collect and spread evidence-based information to improve the management and prevention of work-related MSK pain. P4W will longitudinally investigate (1) risk factors associated with the prevalence of work-related MSK pain, (2) predictive factors for new events of work-related MSK pain in the short term and (3) the modification of pain beliefs after participating in evidence-based e-learning courses. Methods and analysis This project employs a mixed-methods design with international cohorts of workers from Spain, Italy and Denmark. All participants will be assessed using self-reported variables at baseline (ie, cross-sectional design) with follow-up after 3 and 6 months (ie, prospective-predictive design). Throughout the first phase (0-3 months), all participants will be offered to self-enrol in e-learning courses on work-related MSK pain. Changes in pain beliefs (if any) will be assessed. The dataset will include sociodemographic characteristics, physical and psychological job demands, lifestyle-related factors, MSK pain history and pain beliefs. At baseline, all participants will additionally complete the P4W questionnaire developed to detect populations at high risk of suffering work-related MSK pain. Descriptive statistics, binary logistic regression, and analysis of variance will be used to identify the significant factors that influence the history of work-related MSK pain, evaluate the short-term prediction capacity of the P4W questionnaire, and investigate whether workers'' participation in e-learning courses will modify their pain beliefs. Ethics and dissemination The study received ethical approval from the Ethical Committee of San Jorge University (USJ011-19/20). The results will be made available via peer-reviewed publications, international conferences and P4W official channels. 000131198 536__ $$9info:eu-repo/grantAgreement/ES/FPI/CPB09-2018$$9info:eu-repo/grantAgreement/ES/MCIU/FPU19-05237 000131198 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/ 000131198 590__ $$a3.007$$b2021 000131198 591__ $$aMEDICINE, GENERAL & INTERNAL$$b86 / 172 = 0.5$$c2021$$dQ2$$eT2 000131198 592__ $$a0.982$$b2021 000131198 593__ $$aMedicine (miscellaneous)$$c2021$$dQ1 000131198 594__ $$a3.9$$b2021 000131198 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000131198 700__ $$aDomenech-Garcia, V. 000131198 700__ $$aPalsson, T.S. 000131198 700__ $$aChristensen, S.W. 000131198 700__ $$aSilva, P.D.B. 000131198 700__ $$aLangella, F. 000131198 700__ $$aBerjano, P. 000131198 700__ $$aJensen, P.S. 000131198 700__ $$aRiis, A. 000131198 700__ $$aBaroncini, A. 000131198 700__ $$aBlasco-Abadía, J. 000131198 700__ $$aJiménez-Sánchez, C. 000131198 700__ $$0(orcid)0000-0002-1674-7788$$aCalvo, S.$$uUniversidad de Zaragoza 000131198 700__ $$aJaén-Carrillo, D. 000131198 700__ $$0(orcid)0000-0002-9201-0120$$aHerrero, P.$$uUniversidad de Zaragoza 000131198 700__ $$aHoegh, M. 000131198 7102_ $$11006$$2413$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Fisioterapia 000131198 773__ $$g11, 9 (2021), e052602 [6 pp.]$$pBMJ Open$$tBMJ Open$$x2044-6055 000131198 8564_ $$s556756$$uhttps://zaguan.unizar.es/record/131198/files/texto_completo.pdf$$yVersión publicada 000131198 8564_ $$s3042894$$uhttps://zaguan.unizar.es/record/131198/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000131198 909CO $$ooai:zaguan.unizar.es:131198$$particulos$$pdriver 000131198 951__ $$a2024-02-07-15:01:13 000131198 980__ $$aARTICLE