Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Scandinavian Journal of Pain

Official Journal of the Scandinavian Association for the Study of Pain

Editor-in-Chief: Breivik, Harald

CiteScore 2018: 0.85

SCImago Journal Rank (SJR) 2018: 0.494
Source Normalized Impact per Paper (SNIP) 2018: 0.427

See all formats and pricing
More options …
Volume 17, Issue 1


Developing a model for measuring fear of pain in Norwegian samples: The Fear of Pain Questionnaire Norway

Sara M. Vambheim / Peter Solvoll Lyby
  • Department of Psychology, UiT, The Arctic University of Norway, Norway
  • CatoSenteret Rehabilitation Center, Son, Norway
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Per M. Aslaksen / Magne Arve Flaten
  • Department of Psychology, NTNU, The Norwegian University of Science and Technology, Norwegian, Norway
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Ole Åsli / Espen Bjørkedal / Laila M. Martinussen
Published Online: 2017-10-01 | DOI: https://doi.org/10.1016/j.sjpain.2017.10.009



Fear of pain is highly correlated with pain report and physiological measures of arousal when pain is inflicted. The Fear of Pain Questionnaire III (FPQ-III) and The Fear of Pain Questionnaire Short Form (FPQ-SF) are self-report inventories developed for assessment of fear of pain (FOP). A previous study assessed the fit of the FPQ-III and the FPQ-SF in a Norwegian non-clinical sample and proved poor fit of both models. This inspired the idea of testing the possibility of a Norwegian FOP-model.

Aims and methods

A Norwegian FOP-model was examined by Exploratory Factor Analysis (EFA) in a sample of 1112 healthy volunteers. Then, the model fit of the FPQ-III, FPQ-SF and the Norwegian FOP-model (FPQ-NOR) were compared by Confirmatory Factor Analysis ( CFA). Sex neutrality was explored by examining model fit, validity and reliability of the 3 models amongst male and female subgroups.


The EFA suggested either a 4-, a 5- or a 6-factor Norwegian FOP model. The eigenvalue criterion supported the suggested 6-factor model, which also explained most of the variance and was most interpretable. A CFA confirmed that the 6-factor model was better than the two 4- and 5-factor models. Furthermore, the CFA used to test the fit of the FPQ-NOR, the FPQ-III and the FPQ-SF showed that the FPQ-NOR had the best fit of the 3 models, both in the whole sample and in sex sub-groups.


A 6-factor model for explaining and measuring FOP in Norwegian samples was identified and termed the FPQ-NOR. This new model constituted six factors and 27 items, conceptualized as Minor, Severe, Injection, Fracture, Dental, and Cut Pain. The FPQ-NOR had the best fit overall and in male- and female subgroups, probably due to cross-cultural differences in FOP.


This study highlights the importance on exploratory analysis of FOP-instruments when applied to different countries or cultures. As the FPQ-III is widely used in both research and clinical settings, it is important to ensure that the models construct validity is high. Country specific validation of FOP in both clinical and non-clinical samples is recommended.

Keywords: Fear of pain; FPQ-III; FPQ-SF; FPQ-NOR; Exploratory factor analysis; Pain assessment


About the article

Department of Psychology, University of Tromsø, N-9037 Tromsø, Norway

Received: 2017-08-09

Revised: 2017-10-09

Accepted: 2017-10-10

Published Online: 2017-10-01

Published in Print: 2017-10-01

Ethical issuesInformed consent for the studies were required and collected. The studies were approved by the Regional Committee for Medical Research Ethics North Norway.

Conflict of interestConflict of interest statementThe authors declare no conflict of interest.

Citation Information: Scandinavian Journal of Pain, Volume 17, Issue 1, Pages 425–430, ISSN (Online) 1877-8879, ISSN (Print) 1877-8860, DOI: https://doi.org/10.1016/j.sjpain.2017.10.009.

Export Citation

© 2017 Scandinavian Association for the Study of Pain.Get Permission

Comments (0)

Please log in or register to comment.
Log in