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. Author manuscript; available in PMC: 2017 Jul 12.
Published in final edited form as: Inj Prev. 2010 Sep 28;17(1):15–20. doi: 10.1136/ip.2010.027540

Table 1.

Demographic characteristics and odds of reported road traffic injury among 3747 students, Guangzhou City, China

Injury (n = 403)
Non-injury (n = 3344)
Variable N n % n % OR (95% CI)
Sex 3730
 Male 1918 256 13.3 1662 86.7 1.76 (1.40 to 2.20)**
 Female 1812 145   8.0 1667 92.0 Reference
Grade 3747
 Primary 1886 199 10.6 1687 89.4 1.32 (1.03 to 1.71)*
 Secondary 1861 204 11.0 1657 89.0 Reference
Region 3747
 Urban 2100 195   9.3 1905 90.7 Reference
 Suburban 1647 208 12.6 1439 87.4 1.37 (1.09 to 1.72)*
Living arrangement 3747
 Both parents 3133 317 10.1 2816 89.9 0.74 (0.56 to 0.97)*
 Other situation   614   86 14.0   528 86.0 Reference
Mother’s education (years) 3597
 ≤12 2878 306 10.6 2572 89.4 0.95 (0.70 to 130)
 13–16   623   59   9.5 5647 90.5 Reference
 ≥17     96   18 18.8     78 81.3 2.14 (1.18 to 3.91)**
Main transportation 3712
 Walking   847   73   8.6   774 91.4 Reference
 Cycling   775 126 16.3   649 83.7 1.92 (1.39 to 2.65)**
 Motor vehicle   947 114 12.0   833 88.0 1.36 (0.98 to 1.87)
 Others 1143   83   7.3 1060 92.7 0.68 (0.47 to 0.99)*
*

p Value <0.05 from χ2 significance test,

**

p value <0.01 from χ2 significance test.

Controlled OR from model: Y=sex + region + grade + living arrangement + main transportation + mother’s education.