Leash-related injuries associated with dog walking: an understudied risk for dog owners?
Bibliographic record
Abstract
The topic of dog-walking injuries has recently gained notoriety through major media outlets in North America, including the Washington Post, NPR, and US News and World Report. In this review, we have compiled data from the main studies published in the past 2 decades that assess the incidence, demographics, and injury patterns related to dog leash walking. The available papers indicate that dog leash-related injuries have increased, particularly among women over 65. The most common causes of injury are dog-pulling behavior, which can result in tripping or tangling, with or without a fall, as well as upper extremity injuries. However, there is a lack of information regarding dog size, breed, training status, the type of leash used at the time of injury, and the role each factor may have in the incidence of injuries. The available data did not allow for evaluation of the impact of weather conditions on injury incidence. Information about the involved dogs, type of lead device, and weather conditions could be useful in identifying risk factors associated with dog ownership and guide prospective pet owners and their families to mitigate the risk of injuries.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".