Table 1

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

Variable	N	Injury (n=403)		Non-injury (n=3344)		OR (95% CI)^†
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.