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Table 1 Characteristics of the study population (N = 569)

From: Do expectancies of return to work and Job satisfaction predict actual return to work in workers with long lasting LBP?

 

Men

(n = 283)

Women

(n = 286)

t (df) or χ2 (df)

p-value*

Sociodemographic factors

 Age, M (SD)

44.3 (9.7)

44.3 (9.7)

.055 (567)

0.956

 Gender

49.7%

50.3%

  

 Education:

  

20.493 (4)

<0.001

  Primary and secondary

17.6%

10.4%

  

  Upper secondary

52.6%

44.6%

  

  College/University 1–4 years

17.3%

26.6%

  

  College/University ≥ 4 years

4.4%

11.2%

  

  Other

8.1%

7.2%

  

  Smoking (yes)

46.5%

38.2%

4.254 (1)

0.039

Covariates

 FABQ-Work, M (SD)

25.7 (9.6)

24.1 (10.3)

1.914 (547)

0.56

 SHC, M (SD)

15.7 (9.5)

19.3 (9.4)

−4.360 (521)

<0.001

 ODI, M (SD)

28.8 (12.3)

29.3 (12.6)

−408 (550)

0.684

 HSCL:

  

4.556 (1)

.033

  HSCL - < 1.75

70.6%

62%

  

  HSCL - ≥ 1.75

29.4%

38%

  

 Co-worker social support, M (SD)

19.3 (3.3)

18.8 (3.3)

1.971 (547)

0.049

Predictor variables

 Job satisfaction:

  

5.162 (3)

0.160

  Very satisfied

32.3%

29.2%

  

  Satisfied

45%

45.8%

  

  Neither satisfied or dissatisfied

18.2%

15.90%

  

  Dissatisfied

3%

7.6%

  

  Very dissatisfied

1.5%

1.4%

  

 Return to work expectancies:

  

6.814 (3)

0.078

  High expectancies

73.3%

75.1%

  

  Moderate expectancies

13.3%

17.3%

  

  Low expectancies

6.6%

2.9%

  

  Do not know

7%

4.7%

  

Outcome

 Work status at 12 months:

  Returned to work

60.1%

52.4%

  
  1. Continuous variables are presented by means (M) with standard deviation (SD) in parentheses, and categorical variables by percentages. N refers to the total sample size, and may deviate in some of the variables due to missing data
  2. * Statistical tests and p-value for gender differences
  3. Note: χ2- tests between gender and the outcome, “Work status at 12 months”, were not performed as the associations between the independent variables and the dependent variable were analyzed with logistic regression models