Table 4

 Association between traffic intensity and elderly respiratory hospital admissions* compared with control diagnoses

Type of control groupsCrude OR (95%CI)OR adjusted for age, sex (95%CI)OR adjusted for age, sex, lodging value (95%CI)OR adjusted for age, sex, DA** household income (95%CI)
*Respiratory grouping includes ICD-9 codes 460-519. †Control diagnoses includes ICD-9 001-009, 020-139, 240-389, 520-629, 680-739; trauma, tumours, tuberculosis, and circulatory system diseases were excluded. ‡Traffic intensities correspond to the estimates of peak morning three hour traffic volumes from the MOTREM98 EMME/2 model. §Includes ICD-9 codes 520-579. ¶Includes ICD-9 codes 580-629. **Census dissemination area.
All diagnoses†
Traffic intensity‡
    Off traffic network1.001.001.001.00
    1–3160 vehicles/3 hour morning peak1.11 (1.04 to 1.19)1.09 (1.02 to 1.17)1.05 (0.98 to 1.12)1.08 (1.00 to 1.15)
    >3160 vehicles/3 hour morning peak1.35 (1.22 to 1.49)1.30 (1.17 to 1.44)1.18 (1.06 to 1.31)1.24 (1.12 to 1.38)
Gastrointestinal§
Traffic intensity
    Off traffic network1.001.001.001.00
    1–3160 vehicles/3 hour morning peak1.15 (1.06 to 1.26)1.10 (1.01 to 1.20)1.07 (0.98 to 1.17)1.10 (1.00 to 1.20)
    >3160 vehicles/3 hour morning peak1.44 (1.26 to 1.65)1.32 (1.15 to 1.52)1.21 (1.05 to 1.39)1.28 (1.11 to 1.47)
Genitourinary¶
Traffic intensity
    Off traffic network1.001.001.001.00
    1–3160 vehicles/3 hour morning peak1.20 (1.09 to 1.33)1.15 (1.04 to 1.27)1.10 (0.99 to 1.22)1.13 (1.02 to 1.26)
    >3160 vehicles/3 hour morning peak1.85 (1.56 to 2.19)1.67 (1.41 to 1.99)1.46 (1.22 to 1.74)1.57 (1.32 to 1.87)