Table 1 Association of select variables with having reported a road traffic crash (RTC) that had resulted in non-fatal road traffic injury to the police, using multiple logistic regression in the population-based and hospital-based studies in Hyderabad
VariablePopulation-based studyHospital-based study
Total RTCs (n = 1031)RTC reported to police (% of total)Odds of reporting RTC to police (95% CI)TotalRTCs (n = 675)RTC reported to police (% of total)Odds of reporting RTC to police (95% CI)
Age group (years)*
    0–2974011 (1.5)1.0033395 (28.5)1.00
    ⩾302919 (3.1)1.72 (0.61 to 4.85)34271 (20.8)0.73 (0.50 to 1.08)
Sex†
    Male72514 (1.9)1.91 (0.35 to 4.06)555137 (24.7)0.78 (0.47 to 1.31)
    Female3066 (2.0)1.0012029 (24.2)1.00
Type of road user‡
    Motorized two/three wheeled vehicle4029 (2.2)0.90 (0.20 to 4.05)41690 (21.6)0.69 (0.43 to 1.12)
    Car/jeep/tempo/van/heavy vehicles678 (11.9)11.27 (2.11 to 60.11)6231 (50.0)1.26 (0.59 to 2.68)
    Pedestrian/cyclist5623 (0.5)1.0019745 (22.8)1.00
Other vehicle involved in RTC¶
    Car/jeep837 (8.4)10.75 (3.11 to 37.07)8446 (54.8)4.28 (2.56 to 7.17)
    Heavy vehicle152 (13.3)9.01 (1.22 to 53.67)9932 (32.3)2.39 (1.44 to 3.98)
    Other93311 (1.2)1.0049288 (17.9)1.00
Time of RTC§
    06:00–18:007487 (0.9)1.0035798 (27.5)1.00
    18:01–22:002436 (2.5)2.40 (0.71 to 8.14)17632 (18.2)0.63 (0.39 to 1.02)
    22:01–05:59407 (17.5)11.90 (2.98 to 47.51)14236 (25.4)0.79 (0.48 to 1.29)
Number of people injured in RTC**
    17875 (0.6)1.0037564 (17.1)1.00
    >124415 (6.1)6.42 (1.99 to 20.73)299101 (33.8)2.14 (1.40 to 3.29)
Type of hospital††
    Public16423 (14.0)2.42 (1.42 to 4.14)
    Private511143 (28.0)1.00
  • Population-based study participants were aged 5–49 years and hospital-based study participants were of all ages. Data missing for one person in the population-based study.

  • *5–29 years and 30–49 years for population-based sample; χ2 test for significance: p = 0.092 and p = 0.019 for population-based and hospital-based sample, respectively.

  • †χ2 test for significance: p = 0.975 and p = 0.905 for population-based and hospital-based sample, respectively.

  • ‡Motorized two-wheeled vehicles include moped, luna, scooter, scooterette and motorcycle; motorized three-wheeled vehicle are commercial passenger vehicles and include auto-rickshaws and seven-seaters; heavy vehicles include trucks, buses and lorries; χ2 test for significance: p<0.001 for population-based and hospital-based samples.

  • ¶Heavy vehicles include trucks, buses, and lorries; others include cycles, pedestrians, motorized two-wheeled ad three-wheeled vehicles; χ2 test for significance: p<0.001 for population-based and hospital-based samples.

  • §χ2 test for significance: p<0.001 and p = 0.063 for population-based and hospital-based sample, respectively.

  • **χ2 test for significance: p<0.001 for population-based and hospital-based samples; data missing on one person in hospital-based sample.

  • ††Not assessed for population-based sample; χ2 test for significance: p<0.001 for hospital-based sample.