Table 3

Results of logistic regression analysis for the outcome everyday stress

Everyday stress


Model

Commuting mode

Commuting time (min)

Resp.1 (n)

Prev.2 (%)

OR

95% C.I. Low

95% C.I. High


Unadjusted

Active

< 30

4376

17

1.00


Car

< 30

10755

17

1.04

0.95

1.14


Car

30-60

2280

18

1.11

0.97

1.26


Car

> 60

449

16

0.98

0.75

1.27


Public

< 30

1332

15

0.90

0.76

1.06


Public

30-60

1312

20

1.24

1.06

1.45


Public

> 60

584

20

1.25

1.00

1.55


Partly adjusted

Active

< 30

1.00


Car

< 30

1.10

1.00

1.22


Car

30-60

1.25

1.10

1.43


Car

> 60

1.21

0.93

1.58


Public

< 30

0.84

0.71

0.99


Public

30-60

1.18

1.00

1.38


Public

> 60

1.23

0.98

1.53


Fully adjusted

Active

< 30

1.00


Car

< 30

1.11

1.00

1.24


Car

30-60

1.28

1.10

1.49


Car

> 60

1.11

0.83

1.49


Public

< 30

0.81

0.67

0.98


Public

30-60

1.19

1.00

1.42


Public

> 60

1.19

0.93

1.53


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.

Hansson et al. BMC Public Health 2011 11:834   doi:10.1186/1471-2458-11-834

Open Data