MétaCan
Menu
Back to cohort
Record W2065848358 · doi:10.3200/bmed.30.4.161-172

Weight Loss and Biomedical Health Improvement on a Very Low Calorie Diet: The Moderating Role of History of Weight Cycling

2005· article· en· W2065848358 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBehavioral Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsWeight lossVery low calorie dietMedicineBlood pressureCalorieWeight changeCyclingLow calorie dietObesityBody weightDiastoleGerontologyPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.310
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it