Bicycle helmet use and bicycling-related injury among young Canadians: an equity analysis

Table 3 Results of multiple logistic regression analysis examining direct effects of specific socio- demographic characteristics on risks for bicycling-related injury

Socio-demographic characteristic	Crude relative risk				Adjusted relative risk
	No.	% Injured	RR[3]	95% CI	RR[4]	95% CI
Sex
Female	310	3.4	1.00		1.00
Male	671	6.9	2.13	[1.85-2.46]	2.02	[1.78-2.30]
Age
≥ 15 yrs	429	6.4	1.00		1.00
13-14 yrs	362	4.9	0.77	[0.66-0.90]	0.77	[0.66-0.90]
< 13 yrs	188	4.0	0.62	[0.53-0.78]	0.62	[0.51-0.76]
Socioeconomic Status
Above Average	542	5.1	1.00
Average	314	5.2	1.01	[0.88–1.16]
Below Average	84	5.2	0.99	[0.79-1.25]
Urban–rural Geographic Location
Large urban	307	5.1	1.00
Medium urban	189	4.7	1.01	[0.79-1.30]
Small Town	442	5.5	1.10	[0.89-1.37]
Rural	42	5.9	1.21	[0.79-1.85]
Years in Canada
Born in Canada	654	4.9	1.00		1.00
Immigrant > 5 yrs	267	5.9	1.23	[1.06-1.42]	1.14	[0.98-1.32]
Immigrant ≤ 5 yrs	50	6.9	1.43	[1.07-1.93]	1.35	[1.00-1.82]

³. Estimated using multi-level procedures; students nested within schools, and SAS PROC GLIMMIX Procedure.
⁴. Model was adjusted for sex, age group, socio-economic status, urban–rural geographic status, and years in Canada. We have calculated adjusted relative risk estimates only for those variables that were included in the final regression model.

ISSN: 1475-9276