| Analysis by health region and entire province | ||||
|---|---|---|---|---|
| Variable | Terres-Cries-de-la-Baie-James | Nunavik | Nord-du-Québec | Province of Quebec |
| No. of hospital admissions for traumatic brain injury | 172 | 469 | 154 | 50 362 |
| Age, yr | ||||
| Mean ± SD | 24.63 ± 18.03 | 23.42 ± 16.28 | 35.82 ± 24.44 | 45.93 ± 29.20 |
| Range | 0-80 | 0-86 | 0-98 | 0-106 |
| Sex, no. (%) of patients | ||||
| Male | 113 (65.7) | 255 (54.4) | 100 (64.9) | 32 041 (63.6) |
| Female | 59 (34.3) | 214 (45.6) | 54 (35.1) | 18 321 (36.4) |
| Mechanism of injury, no. (%) of patients | ||||
| Assault | 44 (25.6) | 76 (16.2) | 8 (5.2) | 1 866 (3.7) |
| Fall | 38 (22.1) | 72 (15.4) | 57 (37.0) | 24 086 (47.8) |
| Motor vehicle collision | 36 (20.9) | 41 (8.7) | 31 (20.1) | 9 129 (18.1) |
| All-terrain vehicle collision | 17 (9.9) | 173 (36.9) | 15 (9.7) | 1 243 (2.5) |
| Snowmobile collision | 11 (6.4) | 17 (3.6) | 2 (1.3) | 150 (0.3) |
| Bicycle crash | 7 (4.1) | 9 (1.9) | 8 (5.2) | 2 851 (5.7) |
| Pedestrian struck by moving vehicle | 3 (1.7) | 24 (5.1) | 4 (2.6) | 2 365 (4.7) |
| Motorcycle collision | 0 (0) | 12 (2.6) | 0 (0) | 841 (1.7) |
| Recreation/sports activity | 6 (3.5) | 2 (0.4) | 1 (0.6) | 326 (0.6) |
| Other | 10 (5.8) | 43 (9.2) | 28 (18.2) | 4 202 (8.3) |
| Missing data* | - | - | - | 3 303 (6.6) |
| Total no. of population person-years | 186 581 | 142 059 | 198 786 | 100 545 876 |
| Crude incidence per 100 000 person-years [not standardized] | 92.1 | 330.2 | 77.5 | 50.1 |
| Adjusted IRR† (95% CI) | 1.84 (1.56-2.17) | 6.82 (606-7.65) | 1.65 (1.30-1.83) | 1.00 (Referent) |
| Analysis by geographic zone of the Terres-Cries-de-la-Baies-James region | ||||
| Crude incidence per 100 000 person-years | 72.0 | 95.5 | 200.0 | |
| Adjusted IRR† (95% CI) | 1.00 (Referent) | 1.32 (0.96-1.82) | 2.73 (1.64-4.27) | |
Note: CI = confidence interval, IRR = incidence rate ratio.
*Missing data were present only for province-wide data on mechanisms of injury and only represented a small proportion (6.6%).
†Calculated using a negative binomial regression model. Adjusted for age, sex and year of injury.