Table 6

Results of logistic regression analysis for the outcome low vitality

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. 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

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