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Influence of overweight and obesity on physician costs in adolescents and adults in Ontario, Canada

2008· review· en· W2039518574 on OpenAlexaffabout
Ian Janssen, Miu Lam, Peter T. Katzmarzyk

Bibliographic record

VenueObesity Reviews · 2008
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsQueen's University
Fundersnot available
KeywordsOverweightMedicineBody mass indexObesityGerontologyDemographyHealth careCommunity healthFamily medicinePublic healthNursing

Abstract

fetched live from OpenAlex

The study purpose was to perform an obesity cost-of-illness analysis for individuals living in the province of Ontario, Canada. The participants consisted of a representative sample of 25 038 adults and 2440 adolescents (aged 12-17 years) who participated in the 2000/2001 Canadian Community Health Survey (CCHS). The CCHS data set includes measures of body mass index (BMI) (classified as normal weight, overweight or obese) and relevant covariates (age, income, smoking, alcohol, physical activity). The CCHS data set was linked to the Ontario Health Insurance Plan providers' database to obtain physician costs for 2002-2003. A two-part modelling approach was used to calculate and compare the average annual physician cost according to BMI. After adjusting for the covariates, physician costs were not significantly higher in overweight men and women compared with those with a normal weight. Physician costs were 14.7% higher in obese men and 18.2% higher in obese women than in men and women with a normal weight. Average physician costs were comparable in normal-weight and overweight/obese adolescents ($233 per year in both groups). Because Ontario operates a publicly funded healthcare system, the findings of this study have relevance for other provinces/states and countries that operate similar healthcare systems.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
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)0.0000.000

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 head0.043
GPT teacher head0.265
Teacher spread0.222 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations45
Published2008
Admission routes2
Has abstractyes

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