1. ZHAW digitalcollection
  2. Gesundheit
  3. Publikationen
  4. Publikationen Gesundheit
Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1631
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMelloh, Markus-
dc.contributor.authorElfering, Achim-
dc.contributor.authorKäser, Anja-
dc.contributor.authorRolli Salathé, Cornelia-
dc.contributor.authorCrawford, Rebbeca J.-
dc.contributor.authorBarz, Thomas-
dc.contributor.authorZweig, Thomas-
dc.contributor.authorAghayev, Emin-
dc.contributor.authorRöder, Christoph-
dc.contributor.authorTheis, Jean-Claude-
dc.date.accessioned2018-02-01T13:15:37Z-
dc.date.available2018-02-01T13:15:37Z-
dc.date.issued2015-04-
dc.identifier.issn1053-8127de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/2548-
dc.description.abstractBackground: Early identification of patients at risk of developing persistent low back pain (LBP) is crucial. Objective: Aim of this study was to identify in patients with a new episode of LBP the time point at which those at risk of developing persistent LBP can be best identified. Methods: Prospective cohort study of 315 patients presenting to a health practitioner with a first episode of acute LBP. Primary outcome measure was functional limitation. Patients were assessed at baseline, three, six, twelve weeks and six months looking at factors of maladaptive cognition as potential predictors. Multivariate logistic regression analysis was performed for all time points. Results: The best time point to predict the development of persistent LBP at six months was the twelve-week follow-up (sensitivity 78%; overall predictive value 90%). Cognitions assessed at first visit to a health practitioner were not predictive. Conclusions: Maladaptive cognitions at twelve weeks appear to be suitable predictors for a transition from acute to persistent LBP. Already three weeks after patients present to a health practitioner with acute LBP cognitions might influence the development of persistent LBP. Therefore, cognitive-behavioral interventions should be considered as early adjuvant LBP treatment in patients at risk of developing persistent LBP.de_CH
dc.language.isoende_CH
dc.publisherIOS Pressde_CH
dc.relation.ispartofJournal of Back and Musculoskeletal Rehabilitationde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectProspective cohort studyde_CH
dc.subjectPersistent low back painde_CH
dc.subjectPrognosisde_CH
dc.subjectPredictorsde_CH
dc.subjectRisk factorsde_CH
dc.subjectMaladaptive cognitionsde_CH
dc.subject.ddc617.5: Orthopädische Chirurgiede_CH
dc.titleWhat is the best time point to identify patients at risk of developing persistent low back pain?de_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementGesundheitde_CH
zhaw.organisationalunitInstitut für Public Health (IPH)de_CH
zhaw.publisher.placeAmsterdamde_CH
dc.identifier.doi10.21256/zhaw-1631-
dc.identifier.doi10.3233/BMR-140514de_CH
zhaw.funding.euNode_CH
zhaw.issue2de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end276de_CH
zhaw.pages.start267de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume28de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
Appears in collections:Publikationen Gesundheit

Files in This Item:
File Description SizeFormat 
2015_Melloh_What_is_the_best_time_Journal_Musculoskeletal_Rehabilitation.pdf151.17 kBAdobe PDFThumbnail
View/Open
Show simple item record
Melloh, M., Elfering, A., Käser, A., Rolli Salathé, C., Crawford, R. J., Barz, T., Zweig, T., Aghayev, E., Röder, C., & Theis, J.-C. (2015). What is the best time point to identify patients at risk of developing persistent low back pain? Journal of Back and Musculoskeletal Rehabilitation, 28(2), 267–276. https://doi.org/10.21256/zhaw-1631
Melloh, M. et al. (2015) ‘What is the best time point to identify patients at risk of developing persistent low back pain?’, Journal of Back and Musculoskeletal Rehabilitation, 28(2), pp. 267–276. Available at: https://doi.org/10.21256/zhaw-1631.
M. Melloh et al., “What is the best time point to identify patients at risk of developing persistent low back pain?,” Journal of Back and Musculoskeletal Rehabilitation, vol. 28, no. 2, pp. 267–276, Apr. 2015, doi: 10.21256/zhaw-1631.
MELLOH, Markus, Achim ELFERING, Anja KÄSER, Cornelia ROLLI SALATHÉ, Rebbeca J. CRAWFORD, Thomas BARZ, Thomas ZWEIG, Emin AGHAYEV, Christoph RÖDER und Jean-Claude THEIS, 2015. What is the best time point to identify patients at risk of developing persistent low back pain? Journal of Back and Musculoskeletal Rehabilitation. April 2015. Bd. 28, Nr. 2, S. 267–276. DOI 10.21256/zhaw-1631
Melloh, Markus, Achim Elfering, Anja Käser, Cornelia Rolli Salathé, Rebbeca J. Crawford, Thomas Barz, Thomas Zweig, Emin Aghayev, Christoph Röder, and Jean-Claude Theis. 2015. “What Is the Best Time Point to Identify Patients at Risk of Developing Persistent Low Back Pain?” Journal of Back and Musculoskeletal Rehabilitation 28 (2): 267–76. https://doi.org/10.21256/zhaw-1631.
Melloh, Markus, et al. “What Is the Best Time Point to Identify Patients at Risk of Developing Persistent Low Back Pain?” Journal of Back and Musculoskeletal Rehabilitation, vol. 28, no. 2, Apr. 2015, pp. 267–76, https://doi.org/10.21256/zhaw-1631.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.