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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