A nonrandomized trial of a pre-operative physical activity program on bariatric surgery candidates as evaluated by pre- and post-operative physical activity- and obesity-related biomarkers
Bibliographic record
Abstract
Physical activity, obesity, and bariatric surgery independently exert effects on cytokines related to inflammation. Less is known of the effect of a physical activity intervention on the cytokine profile of obese patients prior to undergoing bariatric surgery, particularly since the standard cytokine profile of a bariatric surgery candidate is not established. Indices contained within the cytokine profile may predict suitability for bariatric surgery and prognosticate long-term outcomes. This thesis will examine the cytokine profile of 20 patients of the Centre for Metabolic and Bariatric Surgery in Winnipeg, Manitoba in addition to the effects of a 16 week pre-operative physical activity intervention for 7 of those patients. The study recruited patients (n=26, BMI = 47.1 ± 6.2) from the Centre for Metabolic and Bariatric Surgery (CMBS) in Winnipeg, Manitoba between September 2017 and May 2018. A time-series quasi-experimental design was used to evaluate the effect of the intervention, which took place at the University of Manitoba's Active Living Centre. Outcomes measured included physical fitness, cardiovascular disease risk, mental health, and self-compassion measurements. The focus of this thesis will be to examine the effect of the intervention on several biomarkers found in tissue samples drawn at the baseline and 16-week time points. These measurements will include cytokines as measured via magnetic bead multiplex assay. Significance was reached in several pre-post improvements of cardiovascular endurance and muscular strength as well as mental health, including the primary outcome of 6 minute walk test. Baseline cytokine profiles of 20 participants were comparable to demographically similar cohorts. Pre-post changes in cytokine profiles did not reach significance. Significant correlations were found between baseline and 16-week cytokine data and leg press and/or BMI. The intervention effectively improved several measures of health and is generalizable to other pre-operative bariatric patients. The data can be used to inform the development of future physical activity trials for patients waiting for bariatric surgery.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".