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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.