Road traffic injuries in one local health unit in the Lazio region: results of a surveillance system integrating police and health data

Table 3 Risk factors associated with hospitalisation.

	Number hospital admissions	OR	95% CI
CRASH TYPE
head on collision	54	1
frontal-lateral collision	193	0.54	0.37–0.78
lateral collision	56	0.37	0.24–0.58
fender bender of moving vehicles	53	0.36	0.23–0.56
run over by vehicle (pedestrian)	110	1.47	0.49–4.41
POSITION
car driver	118	1
car passenger	29	1.09	0.69–1.71
public transport	1	1.39	0.16–11.76
moped driver	97	2.18	1.60–2.97
moped passenger	9	2.26	1.01–5.07
motorbike driver	148	2.14	1.61–2.85
motorbike passenger	1	0.64	0.08–4.89
lorry	25	1.93	1.16–3.21
pedestrian	110	2.30	1.12–6.48
bicycle	10	5.02	2.13–11.84
OPPONENT VEHICLE STRUCK
car	383	1
public transport	7	1.22	0.50–2.98
moped	22	0.98	0.57–1.69
motorbike	18	0.56	0.32–0.97
lorry	43	1.64	1.12–2.39
vehicle against obstacle	72	2.12	1.57–2.86
SEX
male	436	1
female	127	0.52	0.41–0.66
AGE CLASS
0–4	3	1
5–14	19	1.28	0.31–5.27
15–34	301	1.31	0.35–4.93
35–64	187	1.44	0.38–5.44
>= 65	53	1.58	0.41–6.10

ORs and 95% confidence intervals estimated using logistic regression models – LHU Rome B year 2003.

ISSN: 1476-072X