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Record W2093288715 · doi:10.1038/oby.2006.125

Economic Evaluation of Weight Loss Interventions in Overweight and Obese Women

2006· article· en· W2093288715 on OpenAlexaff
Larissa Roux, Karen M. Kuntz, Cam Donaldson, Sue J. Goldie

Bibliographic record

VenueObesity · 2006
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsUniversity of Calgary
FundersFondation pour la Recherche Médicale
KeywordsOverweightWeight lossMedicinePsychological interventionObesityQuality of life (healthcare)GerontologyPopulationPhysical therapyEconomic evaluationCohortEnvironmental healthInternal medicineNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: To conduct a clinical and economic evaluation of outpatient weight loss strategies in overweight and obese adult U.S. women. RESEARCH METHODS AND PROCEDURES: This study was a lifetime cost-use analysis from a societal perspective, using a first-order Monte Carlo simulation. Strategies included routine primary care and varying combinations of diet, exercise, behavior modification, and/or pharmacotherapy. Primary data were collected to assess program costs and obesity-related quality of life. Other data were obtained from clinical trials, population-based surveys, and other published literature. This was a simulated cohort of healthy 35-year-old overweight and obese women in the United States. RESULTS: For overweight and obese women, a three-component intervention of diet, exercise, and behavior modification cost 12,600 US dollars per quality-adjusted life year gained compared with routine care. All other strategies were either less effective and more costly or less effective and less cost-effective compared with the next best alternative. Results were most influenced by obesity-related effects on quality of life and the probabilities of weight loss maintenance. DISCUSSION: A multidisciplinary weight loss program consisting of diet, exercise, and behavior modification provides good value for money, but more research is required to confirm the impacts of such programs on quality of life and the likelihood of long-term weight loss maintenance.

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.

How this classification was reachedexpand

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.289
Teacher spread0.268 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations55
Published2006
Admission routes1
Has abstractyes

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