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Table 6 Results of logistic regression analysis for the outcome low vitality

From: Relationship between commuting and health outcomes in a cross-sectional population survey in southern Sweden

    

Low vitaliy

   

Model

Commuting mode

Commuting time (min)

Resp.1 (n)

Prev.2 (%)

OR

95% C.I. Low

95% C.I. High

Unadjusted

Active

< 30

4376

9

1.00

  
 

Car

< 30

10755

11

1.15

1.02

1.29

 

Car

30-60

2280

11

1.16

0.98

1.37

 

Car

> 60

449

9

0.91

0.65

1.28

 

Public

< 30

1332

11

1.18

0.97

1.44

 

Public

30-60

1312

12

1.27

1.04

1.55

 

Public

> 60

584

13

1.47

1.13

1.91

Partly adjusted

Active

< 30

  

1.00

  
 

Car

< 30

  

1.21

1.07

1.36

 

Car

30-60

  

1.38

1.17

1.64

 

Car

> 60

  

1.19

0.84

1.69

 

Public

< 30

  

1.11

0.91

1.36

 

Public

30-60

  

1.34

1.10

1.64

 

Public

> 60

  

1.64

1.26

2.14

Fully adjusted

Active

< 30

  

1.00

  
 

Car

< 30

  

1.22

1.07

1.39

 

Car

30-60

  

1.42

1.18

1.71

 

Car

> 60

  

1.26

0.87

1.82

 

Public

< 30

  

1.05

0.85

1.30

 

Public

30-60

  

1.30

1.05

1.61

 

Public

> 60

  

1.55

1.17

2.07

  1. 1. Respondents; 2. Prevalence; Partly adjusted: Adjusted for the covariates sex, age, education, place of birth and occupational class; Fully adjusted: Adjusted for the covariates sex, age, education, place of birth, occupational class, job strain, overtime, history of unemployment, income, financial stress, residential location and family situation.
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BMC Public Health

ISSN: 1471-2458

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