Impact de la lombalgie dégénérative sur la capacité opérationnelle d'une unité de commandos parachutistes de l’air (CPA 30) : étude épidémiologique observationnelle descriptive transversale sur deux ans
Bibliographic record
Abstract
Background: Lower Back Pain is a public health problem because of its frequency and its societal cost. It is an established fact in a civilian environment as well as in a military environment where it can impact the operational capacity. The French Air Parachute Commando Unit (CPA 30), because of their specialty, are particularly exposed to Lower Back Pain. A sick leave, the inability to be deployed or to jump out of an aircraft defines a paratrooper’s operational incapacity. Our main objective was to evaluate the prevalence of the operational incapacity due to Lower Back Pain in the CPA 30 Unit. Our secondary objectives were to evaluate the frequency of lower back pain and to investigate the main factors of lower back pain leading to operational incapacity. Methods: an observational study was carried out between January 1st, 2015 and December 31st, 2016 on the CPA 30 unit, at the Merignac air-base. The data was collected during interviews. Several potential determinants of operational incapacity were investigated: the age, the body mass index, the rank, having been on more than two tours over the last two years, having jumped with an automatic opening, having done fast-roping during the period of inclusion, having a personal history of acute or chronic lower back pain, having a post-traumatic stress disorder, hospitalizations due to acute lower back pain and the Quebec score. Results: we included 133 subjects in our study. The prevalence of the operational incapacity due to lower back pain during the period of inclusion was 9 % (12/133). The prevalence of lower back pain was 69 % (92/133). Having a history of chronic lower back pain was associated with an operational incapacity. Paratroopers with an operational incapacity also had a higher Quebec score: 6.5 (EIQ [2.25-12.25]) versus 1 (EIQ [0-6]). Conclusion: lower Back Pain within the CPA 30 Unit causes an operational incapacity of 9% of the population. It represents an important limitation of the man-power capability in comparison to the operational load of this unit. Adapted medical care for acute and subacute lower back pain is essential to avoid chronic pain and decrease the impact on the operational capacity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".