An initial factor analysis of prominent aspects of health experiences for women with neck-shoulder pain

Disabil Rehabil. 2012;34(11):934-42. doi: 10.3109/09638288.2011.628436. Epub 2011 Dec 9.

Abstract

Purpose: The prospect of adequate comparisons is essential to decide on the effectiveness of different treatments. As there is a lack of unity in choice of questionnaires and included measures concerning musculoskeletal disorders, further investigations based on international recommendations are of interest. The intention of present study was to initiate the development of a clinically useful short-form questionnaire. The aim was to select items that capture prominent health aspects for women with neck-shoulder pain and thereby reduce the number of items to a clinically more convenient amount, and to determine the underlying structure of included items.

Method: Data were collected in a randomised controlled trial including women with non-specific neck-shoulder pain >3 months (n = 117). Data collection included three core domains: pain intensity, physical and emotional functioning, and analysis was performed using Principal component analysis, and Varimax rotation.

Results: The resulting 9-factor solution included interference, solicitous/distracting responses, mood and feelings about self and relations, pain intensity, punishing responses, personal growth, life control, sleep, and appetite (29 items).

Conclusions: The results will contribute to the development of a reduced battery of questions representing core dimensions. Such questionnaire would lighten the assessment load in the clinic as well as in research.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Cross-Sectional Studies
  • Factor Analysis, Statistical
  • Female
  • Health Status
  • Humans
  • Interviews as Topic
  • Middle Aged
  • Musculoskeletal Diseases / physiopathology*
  • Musculoskeletal Diseases / psychology*
  • Neck Pain / physiopathology*
  • Outcome Assessment, Health Care / methods
  • Pain Measurement
  • Principal Component Analysis
  • Psychometrics
  • Reproducibility of Results
  • Shoulder Pain / physiopathology*
  • Surveys and Questionnaires*
  • Sweden