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Table 3 Bivariate correlations between potential predictor variablesa to each other and to the dependent variable time off work due to the accidental injuryb

From: The long-term prediction of return to work following serious accidental injuries: A follow up study

Variable TOW ISS SEX AGE TRAFF SPORT WORK IESIN AIS
ISS 0.04         
SEX 0.06 -0.12        
AGE 0.16 -0.24* 0.00       
TRAFF -0.07 0.09 0.02 -0.41***      
SPORT -0.16 0.04 -0.03 0.03 -0.05     
WORK -0.03 -0.01 -0.24* -0.07 0.03 0.21    
IESIN 0.35*** -0.12 0.01 0.17 -0.07 -0.03 0.31**   
AIS 0.34*** -0.06 -0.09 0.17 -0.04 0.06 0.02 0.35***  
ACA -0.36*** -0.08 -0.11 0.11 -0.04 0.07 -0.03 -0.39*** -0.13
  1. Pearson correlation coefficients, N = 85
  2. a Assessed 3-29 days after the accident
  3. b Assessed 3 years after the accident
  4. *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001
  5. Variable   Explanation
  6. TOW   Time off work (days) due to the accidental injury
  7. ISS   Injury Severity Score
  8. SEX   Gender (1 = male, 2 = female)
  9. AGE   Age
  10. TRAFF   Type of accident: traffic
  11. SPORT   Type of accident: sports or leisure time
  12. WORK   Type of accident: workplace
  13. IESIN   Impact of Event Scale, Intrusion subscale
  14. AIS   Appraisal of injury severity
  15. ACA   Appraisal of coping abilities