Table 3

Road traffic deaths (n=676) according to gender, in association with individual and municipal characteristics, for 609 807 Norwegians born between 1967 and 1976 and followed-up from age 16 to 20 years*

CharacteristicTotalFemalesMales
RR95% CIRR95% CIRR95% CI
Individual level variables
Gender
 Female1Ref.1Ref.1Ref.
 Male3.352.79 to 4.01
Year of birth0.930.90 to 0.950.940.87 to 1.010.920.89 to 0.96
Parental education level
 Tertiary, high1Ref.1Ref.1Ref.
 Tertiary, low1.170.72 to 1.910.780.33 to 1.821.410.77 to 2.56
 Upper secondary, complete2.011.27 to 3.201.120.49 to 2.532.551.44 to 4.52
 Upper secondary, basic2.041.29 to 3.221.180.53 to 2.612.561.46 to 4.51
 Lower secondary or less2.661.65 to 4.281.120.47 to 2.663.632.03 to 6.49
Father's income quartile
 Highest1Ref.1Ref.1Ref.
 Third0.890.69 to 1.141.120.67 to 1.900.830.62 to 1.10
 Second0.800.62 to 1.030.670.37 to 1.210.820.62 to 1.09
 Lowest0.850.66 to 1.091.310.77 to 2.230.740.55 to 0.99
 Missing1.080.77 to 1.511.170.56 to 2.431.040.71 to 1.52
Mother's marital status
 Married1Ref.1Ref.1Ref.
 Unmarried1.311.07 to 1.591.310.87 to 1.961.301.04 to 1.63
 Missing1.590.93 to 2.710.530.07 to 3.791.881.07 to 3.28
Municipal level variables
Proportion high-income earners (quartiles)
 Highest1Ref.1Ref.1Ref.
 Third1.411.01 to 1.971.841.04 to 3.251.360.96 to 1.94
 Second1.721.24 to 2.381.801.00 to 3.241.791.27 to 2.51
 Lowest1.941.39 to 2.712.531.37 to 4.671.931.35 to 2.75
Urbanisation
 Urban1Ref.1Ref.1Ref.
 Rural1.080.86 to 1.240.790.49 to 1.251.180.92 to 1.50
Random effect, intercept variability (SE)0.116(0.048)0.035(0.172)0.079(0.057)
  • * 1847 Participants with missing data on parental education or municipality were not included in the analysis.

  • RR in a model including gender, year of birth, parental education level, father's income level, mother's marital status, municipal proportion of high-income earners, and municipal urbanisation.