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Table 4 Participation at organizational health measures: Odds ratios from hierarchical logistic regression model

From: Do working characteristics influence the participation at health measures? Findings from a trial phase of workplace health promotion

 

Model 1

Model 2

Model 3

Model 4

Level 1 intercept

2.78

1.61

7.78

18.67

Sex [ref.: female]

0.40**

0.30**

0.29**

0.28**

Health status

1.17

1.04

1.05

1.05

Age [ref.: < 29]

 30 – 39

2.02*

2.15*

2.24*

2.22*

 40 – 49

2.29*

2.55*

2.58*

2.52*

 50+

3.05**

3.10*

3.18*

3.08*

 Occupational status

0.67

0.98

0.93

0.96

 Social Aspects

 

0.99

0.99

0.99

 Work amount

 

1.01

1.01

1.01

 Work demand

 

1.02**

1.02**

1.02**

 Environmental Aspects

 

0.99

0.99

0.99

Level 2 Variables

 Unit size

  

0.99*

0.99

 Share of female employees

   

0.97

 Share of military servants

   

0.99

 Unit level variance

1.29**

1.27**

0.91**

0.88**

 Observations

465

401

401

401

 Log likelihood

− 258.6050 a

− 221.3645 a b

−219.3125 a b

−218.9026 a

 ICC

0.34

0.33

0.20

0.19

  1. Boldface indicates statistical significance (*p < 0.05, **p < 0.001)
  2. a Model proved better goodness of fit compared to the non-hierarchical logistic model according to LR-Test
  3. b Model proved better goodness of fit compared to the previous model according to LR-Test