Bariatric Surgery Should Be Offered to Active-Duty Military Personnel: a Retrospective Study of the Canadian Armed Forces’ Experience
Bibliographic record
Abstract
PURPOSE: Like most Western armies, obesity affects Canadian Armed Forces (CAF) personnel. Bariatric surgery is an effective treatment for obesity. However, this is not yet accepted for active-duty soldiers in most countries. The CAF have approved bariatric surgery since 2005. Our aim is to assess weight loss, resolution of obesity-related comorbidities, and impacts of bariatric surgery on military careers. MATERIALS AND METHODS: We retrospectively reviewed the perioperative data, long-term bariatric results, and military outcomes of 108 CAF active-duty military personnel who underwent bariatric surgery in Canada over a 61-month period. RESULTS: . Roux-Y gastric bypass was performed in 59 patients, sleeve gastrectomy in 29, and gastric banding in 20. All the surgeries were performed laparoscopically. The total body weight loss at the last follow-up visit was 22.5 ± 11.0%. Remission or improvement of hypertension was observed in 91.2%, diabetes in 85.7%, gastroesophageal reflux disorder (GERD) in 43.6%, sleep apnea in 43.1%, and dyslipidemia in 42.9%. One patient (0.9%) was medically released due to postoperative complications. Fifteen patients (13.9%) were deployed postoperatively. The combined deployable and possibly deployable statuses increased from 35.4% preoperatively to 47.9% postoperatively. CONCLUSION: This is the largest series of bariatric surgeries performed in active-duty military personnel. Bariatric surgery is effective and safe and improves deployability without impairing military careers. These results are relevant to the military of many industrialized countries. Bariatric surgery should be considered for all active-duty military personnel who meet surgical criteria for the treatment of obesity.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".