Table 3.

Multiple logistic regression models to predict the likelihood of having road traffic injury, SAVY2 (2009)

Independent variables	Model 1: Life time experience of RTI (N=10,034)a				Model 2: RTI in the last 12 months (N=10,021)b
	Crude OR	95% CI of crude OR	Adjusted OR	95% CI of adjusted OR	Crude OR	95% CI of crude OR	Adjusted OR	95% CI of adjusted OR
Gender
Male	1.335	1.175–1.518	1.297	1.101–1.529	1.489	1.218–1.821	1.442	1.112–1.871
Female*	1		1		1		1
Age groups
22–25	2.869	2.444–3.368	1.905	1.594–2.277	2.354	1.827–3.034	1.508	1.165–1.953
18–21	2.215	1.892–2.594	1.609	1.359–1.905	2.305	1.813–2.933	1.377	1.038–1.827
14–17*	1		1		1		1
Area
Urban	1.536	1.339–1.763	1.241	1.063–1.448	1.203	0.965–1.498	1.032	0.809–1.317
Rural*	1		1		1		1
Had ever been drunk
Yes	2.486	2.186–2.427	1.723	1.456–2.040	3.056	2.500–3.737	2.137	1.643–2.779
No*	1		1		1		1
Had ever ridden motorbike after drinking
Yes	3.022	2.641–3.457	1.932	1.614–2.312	3.464	2.834–4.235	2.271	1.729–2.982
No*	1		1		1		1
Region
Red River Delta	0.901	0.731–1.111	0.966	0.771–1.209	0.829	0.604–1.139	0.881	0.627–1.239
North East	0.909	0.715–1.154	0.849	0.662–1.088	0.829	0.575–1.195	0.723	0.496–1.056
North West	0.690	0.452–1.053	0.692	0.448–1.069	0.876	0.492–1.559	0.784	0.432–1.424
North Central	0.733	0.569–0.943	0.862	0.664–1.118	0.537	0.353–0.817	0.613	0.399–1.118
Central Coast	1.324	1.026–1.708	1.266	0.972–1.650	1.210	0.825–1.774	1.103	0.742–1.638
Central Highland	1.067	0.803–1.419	1.060	0.790–1.422	1.191	0.793–1.787	1.099	0.724–1.670
South East	1.735	1.423–2.116	1.514	1.229–1.866	1.300	0.957–1.766	1.158	1.842–1.594
Mekong River Delta*	1		1		1		1

^*Reference category.

^aGoodness-of-fit Hosmer & Lemeshow test χ²=4.533; df = 8; p=0.806.

^bGoodness-of-fit Hosmer & Lemeshow test χ²=8.204; df = 8; p=0.414.