Volume 13, Issue 4 pp. 426-430

Does the number of musculoskeletal pain sites predict work disability? A 14-year prospective study

Yusman Kamaleri

Corresponding Author

Yusman Kamaleri

Section for Occupational and Social Insurance Medicine, Institute of General Practice and Community Medicine, University of Oslo, Norway

SINTEF Health Research, P.O. Box 124, Blindern, N-0314 Oslo, Norway

SINTEF Health Research, P.O. Box 124, Blindern, N-0314 Oslo, Norway. Tel.: +47 93472122; fax: +47 22067909. [email protected], [email protected]Search for more papers by this author
Bård Natvig

Bård Natvig

Section for Occupational and Social Insurance Medicine, Institute of General Practice and Community Medicine, University of Oslo, Norway

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Camilla M. Ihlebaek

Camilla M. Ihlebaek

The Research Unit, The Norwegian Back Pain Network, Unifob Helse, University of Bergen, Norway

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Dag Bruusgaard

Dag Bruusgaard

Section for Occupational and Social Insurance Medicine, Institute of General Practice and Community Medicine, University of Oslo, Norway

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First published: 09 January 2012
Citations: 156

ABSTRACT

Various risk factors associated with disability pensioning have been reported. This study investigated the relationship between the number of pain sites and risk of receiving a disability pension. We hypothesised that risk of work disability would increase as the number of pain sites increased, even after controlling for potential confounders. In 1990 and 2004, questionnaire on musculoskeletal pain was sent via post to six age groups in Ullensaker, Norway. Data on demographic, health and work-related variables were also collected. After excluding individuals due to reach retirement age in 2004, we followed 1354 (66%) persons who were classified in 1990 as “employed”, “unemployed”, “homemaker”, or “student”. Among them, 176 persons had received long-term or permanent work disability pension in 2004. Bivariate analyses showed that the prevalence of disability pensions was strongly associated with the number of pain sites. Controlling for gender and age almost unaltered the relationship. However, a model controlling for all significant confounders showed that general health and sick leave previous year captured almost all the predictive power of the number of pain sites on work disability. Since these variables could be seen as intermediate variables and not confounders, they were excluded in a new model which gave a strong “dose–response” relationship between number of pain sites and disability with a 10-fold increase from 0 to 9–10 pain sites. The predictive validity of the number of pain sites in determining future disability renders this simple measurement useful for future research on musculoskeletal pain and functioning.

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