Accidents and injuries related to powered paragliding: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVES: Powered paragliding (PPG) and paragliding are two totally different sports, mainly because of the use of an engine in powered paragliding. As a consequence, the pattern of injuries caused by each of these two sports may be different. SETTING: To test this hypothesis, we analysed 384 incident reports gathered by the US Powered Paragliding Association from 1995 to 2012. The majority of the incidents occurred in the USA, while 26 incidents occurred elsewhere: Canada (8), Mexico (5), Panama (1), China (1), Japan (1), Malaysia (1), Indonesia (Java) (1), Europe (8): of which Spain (1), Belgium (1), UK (3), Italy (1), Romania (1), unknown (1). OUTCOME: To identify the most affected body area and the most common type of injury sustained in PPG, and to highlight any differences from paragliding. RESULTS: The most affected body areas in PPG were the upper limbs (44.5%), followed by the lower limbs (32%), the back (9.8%), the head (7%), the pelvis (3.1), the chest (2.7%) and the abdomen (0.7%) (p<0.001). The engine caused 43 accidents (11.2%) in our study and was responsible for the majority of injuries to the upper limbs. The number of fatal accidents in PPG is not lower than in paragliding and hang-gliding. CONCLUSIONS: To help prevent the specific injuries of PPG, the most appropriate equipment should be identified. The results of this study also suggest that, in the future, this sport should be analysed separately from paragliding.
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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 | 0.001 | 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) | 0.001 | 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".