Table 2 Logistic regression results predicting self-rated health over time.

From: Health trends among workers in Germany and the role of changing job activities and working conditions

Variable

OR

95%-CI

p

XXX

OR

95%-CI

p

XXX

OR

95%-CI

p

Time period

0.64

[0.60; 0.69]

< .001

 

0.63

[0.58; 0.68]

< .001

 

0.67

[0.62; 0.73]

< .001

Age

    

0.96

[0.96; 0.97]

< .001

 

0.96

[0.95; 0.96]

< .001

Gender

    

0.60

[0.56; 0.64]

< .001

 

0.63

[0.59; 0.68]

< .001

Working hours

    

0.99

[0.99; 1.00]

< .001

 

1.01

[1.00; 1.01]

< .001

Occupation

 WC–HS (Ref.)

    

–

–

–

 

–

–

–

 WC–LS

    

0.90

[0.83; 0.97]

.006

 

0.98

[0.91; 1.07]

.659

 BC–HS

    

0.73

[0.66; 0.80]

< .001

 

1.07

[0.95; 1.19]

.273

 BC–LS

    

0.58

[0.53; 0.63]

< .001

 

0.83

[0.74; 0.92]

< .001

Education

 Low (Ref.)

    

–

–

–

 

–

–

–

 Intermediate

    

1.35

[1.26; 1.45]

< .001

 

1.33

[1.23; 1.43]

< .001

 High

    

1.94

[1.79; 2.11]

< .001

 

1.69

[1.54; 1.85]

< .001

Physical activities

        

1.09

[1.01; 1.18]

.023

Cognitive activities

        

1.14

[1.06; 1.24]

< .001

Ergonomic conditions

        

0.91

[0.87; 0.94]

< .001

Environmental conditions

        

0.74

[0.70; 0.78]

< .001

Work intensity

        

0.62

[0.59; 0.65]

< .001

Work control

        

1.61

[1.53; 1.69]

< .001

Work support

        

1.81

[1.72; 1.90]

< .001

  1. OR, odds ratio; CI, confidence interval; WC–HS, white collar, high skilled; WC–LS, white collar, low skilled; BC–HS, blue collar, high skilled; BC–LS, blue collar, low skilled.
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