The effects of weight loss after bariatric surgery on health-related quality of life and depression
Bibliographic record
Abstract
BACKGROUND: In severe obesity, impairments in health-related quality of life (HRQoL) and dysphoric mood are reported. This is a post-surgery analysis of the relationship between HRQoL and depressive symptoms, and weight change after four different types of bariatric procedures. METHODS: A total of 105 consented patients completed the Short-Form-36 Health Survey (SF-36), the Impact of Weight on Quality of Life-Lite (IWQOL-Lite) and the Beck Depression Inventory (BDI) before and 25 months after surgery. Analysis of variance or Kruskal-Wallis test evaluated changes. RESULTS: Patients with Roux-en Y gastric bypass (46 patients), decreased body mass indexes (BMIs; kg m(-)(2)) 47-31 kg m(-)(2) (P<0.0001); biliopancreatic diversion with duodenal switch (18 patients), decreased BMIs 57-30 kg m(-)(2) (P<0.0001); adjustable gastric banding (18 patients), decreased BMIs 45-38 kg m(-)(2) (P<0.0001); and sleeve gastrectomies (23 patients), decreased BMIs 58 42 kg m(-)(2) (P<0.0001). The excess percentage BMI loss was 69, 89, 36 and 53 kg m(-)(2), respectively (P<0.0001). Before surgery, the SF-36 differences were significant regarding bodily pain (P=0.008) and social functioning (P=0.01). After surgery, physical function (P=0.03), general health (P=0.05) and physical component (P=0.03) were different. IWQOL-Lite recorded no differences until after surgery: physical function (P=0.003), sexual life (P=0.04) and public distress (P=0.003). BDI scores were not different for the four groups at baseline. All improved with surgery, 10.6-4.4 (P=0.0001). CONCLUSIONS: HRQoL and depressive symptoms significantly improvement after surgery. These improvements do not have a differential effect over the wide range of weight change.Nutrition & Diabetes (2014) 4, e132; doi:10.1038/nutd.2014.29; published online 1 September 2014.
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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 | 0.003 |
| 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".