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Médecine du travail du personnel hospitalier

Factors related to long-duration pain and sick leave among Swedish staff working in the public health service.

Scand J Caring Sci. 2005 Dec;19(4):419-26.
Factors related to long-duration pain and sick leave among Swedish staff working in the public health service.
‘Nilsson A, Sjoden PO, Dahl J, Denison E.
Department of Public Health and Caring Sciences, Section of Caring Sciences, Uppsala University, Sweden. ans@hig.se’

The aim of the present study was to provide information about factors related to long-duration pain (LDP) (>3 months), sick leave (SL) and long sick leave (LSL) (>3 months) among staff in the community health services. The specific research question was: To what extent do data on activity, physical function, pain severity, psychological/cognitive factors, expectations of LDP, expectations to be working within 6 months and work satisfaction predict LDP, SL and LSL respectively? Logistic regression analyses were used to test predicted membership in the groups LDP, SL and LSL. In this context prediction refers to statistical prediction only, due to the cross-sectional design. Staff (n = 914) in the public health services in a medium-sized Swedish city completed a questionnaire during the spring of 2000. The results show that musculoskeletal pain and SL for this occupational group are common. Pain severity, expectations of LDP and fear-avoidance increased the odds of being in the LDP group, while kinesiophobia decreased the odds. Pain severity and kinesiophobia increased the odds of being in the SL group, while expectations to be working in 6 months decreased the odds. Only expectations to be working in 6 months predicted membership in the LSL group, decreasing the odds. Although some caution is warranted concerning the representativity of the sample, the results indicate that expectations about pain duration and ability to work are important psychosocial factors in LDP and LSL.
MeSH Terms:Adult – Aged – Cross-Sectional Studies – Female – Health Personnel*/statistics & numerical data – Humans – Logistic Models – Male – Middle Aged – Musculoskeletal Diseases/epidemiology* – Musculoskeletal Diseases/psychology – Occupational Diseas

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