Browsing Institutt for helse og samfunn by Author "Engebretsen, Kaia Beck"

Now showing items 1-4 of 4

  • Novel approach towards musculoskeletal phenotypes 
    Meisingset, Ingebrigt; Vasseljen, Ottar; Vøllestad, Nina Køpke; Robinson, Hilde Stendal; Woodhouse, Astrid; Engebretsen, Kaia Beck; Glette, Mari; Øverås, Cecilie Krage; Nordstoga, Anne Lovise; Evensen, Kari Anne Indredavik; Skarpsno, Eivind S. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Background The multidimensional array of clinical features and prognostic factors makes it difficult to optimize management within the heterogeneity of patients with common musculoskeletal pain. This study aimed to ...
  • Shoulder patients in primary and specialist health care. A cross-sectional study 
    Engebretsen, Kaia Beck; Robinson, Hilde Stendal; Vøllestad, Nina Køpke (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Objectives Shoulder pain is a prevalent problem and has a considerable impact on the use of primary and specialist health care in Norway. It is important to improve short-term recovery and reduce long-term consequences ...
  • The clinical course of neck pain: Are trajectory patterns stable over a 1-year period? 
    Irgens, Pernille Marie; Myhrvold, Birgitte Lawaetz; Kongsted, Alice; Waagan, Knut; Engebretsen, Kaia Beck; Vøllestad, Nina Køpke; Robinson, Hilde Stendal (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    Background Recent studies with data-driven approaches have established common pain trajectories. It is uncertain whether these trajectory patterns are consistent over time, and if a shorter measurement period will provide ...
  • Visual trajectory pattern as prognostic factors for neck pain 
    Myhrvold, Birgitte Lawaetz; Irgens, Pernille Marie; Robinson, Hilde Stendal; Engebretsen, Kaia Beck; Natvig, Bård; Kongsted, Alice; Vøllestad, Nina Køpke (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
    Background A novel approach capturing both temporal variation and pain intensity of neck pain is by visual trajectory patterns. Recently, both previous and expected visual trajectory patterns were identified as stronger ...