Threshold of musculoskeletal pain intensity for increased risk of long-term sickness absence among female healthcare workers in eldercare.
OBJECTIVE
Musculoskeletal disorders increase the risk for absenteeism and work disability. However, the threshold when musculoskeletal pain intensity significantly increases the risk of sickness absence among different occupations is unknown. This study estimates the risk for long-term sickness absence (LTSA) from different pain intensities in the low back, neck/shoulder and knees among female healthcare workers in eldercare.


METHODS
Prospective cohort study among 8,732 Danish female healthcare workers responding to a questionnaire in 2004-2005, and subsequently followed for one year in a national register of social transfer payments (DREAM). Using Cox regression hazard ratio (HR) analysis we modeled risk estimates of pain intensities on a scale from 0-9 (reference 0, where 0 is no pain and 9 is worst imaginable pain) in the low back, neck/shoulders and knees during the last three months for onset of LTSA (receiving sickness absence compensation for at least eight consecutive weeks) during one-year follow-up.


RESULTS
During follow-up, the 12-month prevalence of LTSA was 6.3%. With adjustment for age, BMI, smoking and leisure physical activity, the thresholds of pain intensities significantly increasing risk of LTSA for the low back (HR 1.44 [95%CI 1.07-1.93]), neck/shoulders (HR 1.47 [95%CI 1.10-1.96]) and knees (HR 1.43 [95%CI 1.06-1.93]) were 5, 4 and 3 (scale 0-9), respectively, referencing pain intensity of 0.


CONCLUSIONS
The threshold of pain intensity significantly increasing the risk for LTSA among female healthcare workers varies across body regions, with knee pain having the lowest threshold. This knowledge may be used in the prevention of LTSA among health care workers.
National Research Centre for the Working Environment, Copenhagen Ø, Denmark. LLA@NRCWE.DK
Lars L
LL
Andersen
Thomas
T
Clausen
Hermann
H
Burr
Andreas
A
Holtermann
D000328:Adult; D015331:Cohort Studies; D003718:Denmark; D005260:Female; D006282:Health Personnel / Q000706:statistics & numerical data*; D006801:Humans; D008875:Middle Aged; D059352:Musculoskeletal Pain; D016016:Proportional Hazards Models; D012307:Risk Factors; D018582:Sick Leave / Q000706:statistics & numerical data*