Effects of Vertical Sleeve Gastrectomy on Weight Loss, Eating Behaviors, and Weight Concern Eight Months Postsurgery
Bibliographic record
Abstract
OBJECTIVES: Following vertical sleeve gastrectomy (VSG), the role of eating behaviors in weight regain remains unclear. This study aimed to examine the effects of VSG on excess weight loss (EWL) and five eating-related variables (food addiction, disinhibition, susceptibility to hunger, dietary restraint, and weight concern) while exploring their associations before and eight months post-surgery. MATERIALS AND METHODS: A sample of 76 participants who underwent VSG was recruited from a healthcare center in Quebec, Canada. Measurements included body mass index (BMI), the Eating Disorder Examination (weight concern), the Yale Food Addiction Scale (food addiction), and the Three-Factor Eating Questionnaire (disinhibition, susceptibility to hunger, and dietary restraint). T-tests were conducted between pre-surgery (T0) and eight-month post-surgery (T8), and correlations were examined between T0 and T8, within T0, and within T8. RESULTS: The mean EWL was 63.43% ± 13.14 at T8. Comparisons between T0 and T8 showed a significant decrease in food addiction, disinhibition, and susceptibility to hunger (p = 0.001-0.005). No significant differences were observed for dietary restraint and weight concerns. BMI at T0 was negatively correlated with EWL at T8 (r = -0.45). Within T0, a negative correlation was observed between food addiction and dietary restraint (r = -0.42), which changed from negative to positive within T8 (r = 0.35). CONCLUSIONS: This study confirmed that VSG is effective for weight loss and associated with a reduction in maladaptive eating behaviors. Postsurgery, individuals with greater food addiction exhibited more dietary restraint, suggesting a need for restraint among those experiencing a strong drive toward food. However, weight concerns remained high even after significant weight loss, indicating that weight loss alone may not be sufficient for change. A postsurgery medical follow-up focusing on overall well-being and lifestyle adaptation would be a crucial complement.
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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 | 0.000 |
| 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 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".