Patterns of Outdoor Recreational Injury in Northern British Columbia
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to examine the patterns of severe injury documented at a northern British Columbia regional trauma center based on age, sex, month of year, activity type, injury type, and injury severity as they relate to participation in outdoor recreational activities. METHODS: A retrospective analysis of data abstracted from the British Columbia Trauma Registry for patients sustaining injuries between April 1, 2004, and March 31, 2007, while engaged in outdoor recreational activities in the Northern Health Authority. The British Columbia Trauma Registry inclusion criteria are as follows: 1) admitted for treatment of injuries sustained from the transfer of external energy or force; 2) admitted to the facility within 7 days of injury; and 3) length of stay more than 2 days or in-hospital mortality. RESULTS: In all, 159 patients met study criteria. August and September were peak injury months (mean 7.3 and 7.0 per month, respectively). The highest injury patterns involved cycling (n = 31), all-terrain vehicle operation (n = 30), horseback riding (n = 22), and snowmobiling (n = 22). Of the 159 patients, 76.1% were male, with a peak age distribution between 10 years and 19 years (22%). Males were more commonly injured than females among cycling (83.9%), all-terrain vehicle (86.7%), and snowmobile (100%) traumas. Females were more commonly injured from horseback riding events (42.1%). CONCLUSIONS: This study emphasizes the need for rapid translation of research findings into injury prevention awareness and programming in northern British Columbia, particularly relating to cycling, horseback riding, snowmobiling, and all-terrain vehicle operation. Further investigation is required to analyze long-term outcomes for this common injury population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".