Weight Loss and Biomedical Health Improvement on a Very Low Calorie Diet: The Moderating Role of History of Weight Cycling
Bibliographic record
Abstract
In this study, the authors examined biomedical consequences of participation in a professionally delivered, multifaceted very low calorie diet (VLCD) program and whether the degree of benefit associated with treatment was moderated by history of weight cycling. The authors monitored body weight and biomedical health indicators in 66 severely obese outpatients on a VLCD liquid fast. Participants remained on the VLCD for a median of 55 (range 9 to 247) days. Treatment was associated with significant pre-to-post improvements on body weight, systolic and diastolic blood pressure, triglycerides, and cholesterol. History of weight cycling (independent of age) was inversely related to the magnitude of absolute pre-to-post treatment changes in systolic and diastolic blood pressure, as well as to the rate of weight change. More intensive, longer term, and explicit maintenance components, especially aimed at individuals with multiple weight loss-regain episodes, may be necessary to facilitate weight loss and attain optimal health benefits from VLCDs.
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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 | 0.004 |
| 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 | 0.001 |
| 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".