Fall-related injuries among Canadian seniors, 2005–2013: an analysis of the Canadian Community Health Survey
Bibliographic record
Abstract
INTRODUCTION: We describe the epidemiology and trends of fall-related injuries among Canadian seniors aged 65 years and older by sex and age, as well as the circumstances and consequences of their injuries. METHODS: We analyzed nationally representative data from the 2005, 2009/2010 and 2013 samples of the Canadian Community Health Survey to calculate the number and rates of fall-related injuries for each survey year. Where possible, we combined data from two or more samples to estimate the proportion of fall-related injuries by type of injury, part of body injured, type of activity and type of treatment. RESULTS: The rate of fall-related injuries among seniors increased from 49.4 to 58.8 per 1000 population between 2005 and 2013, during which the number of fall-related injuries increased by 54% overall. Women had consistently higher rates than men across all survey years, while rates increased with advancing age. The upward trend in fall-related injury rates was more prominent among women and younger age groups. The most common type of injury was broken or fractured bones (37%), and the shoulder or upper arm (16%) was the most commonly injured body part. Many fall-related injuries occurred while walking on a surface other than snow or ice (45%). Over 70% of seniors seeking treatment for their injuries visited a hospital emergency department. CONCLUSION: Given the increase in both the number and rates of fall-related injuries over time, there is a need to continue monitoring trends and injury patterns associated with falls.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".