MétaCan
Menu
Back to cohort
Record W83219460 · doi:10.24095/hpcdp.32.2.01

Weight management experiences of overweight and obese Canadian adults: findings from a national survey

2012· article· en· W83219460 on OpenAlexaffvenueabout
Sara Kirk, Richard Tytus, Ross T. Tsuyuki, Arya M. Sharma

Bibliographic record

VenueChronic diseases and injuries in Canada · 2012
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsUniversity of AlbertaMcMaster UniversityDalhousie University
Fundersnot available
KeywordsOverweightMedicineObesityWeight managementWaistWeight lossFamily medicinePopulationDiabetes mellitusGerontologyManagement of obesityChronic diseasePhysical therapyEnvironmental healthInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: We know little about how the 2006 Canadian Clinical Practice Guidelines for the management and prevention of obesity relate to Canadians' weight management experiences or whether these experiences reflect the recommendations in the Guidelines. METHODS: We used data from a general population omnibus survey to understand these two issues, particularly in relation to chronic disease. The survey included 23 questions related to weight management practices as well as those related to demographic characteristics. RESULTS: Of 2004 respondents, 33% were classified as overweight and 20% as obese. In the 12 months before the survey, 48% of overweight and obese respondents reported asking their physician about weight loss, while 30% reported that their physician advised them to lose weight without them specifically asking. With regard to the recommendations within the Guidelines, 14% of overweight and 18% of obese respondents reported having their waist circumference measured, 82% of overweight and 87% of obese respondents reported having their blood pressure measured, and 36% of overweight and 50% of obese respondents reported having a test for diabetes. CONCLUSION: These findings have implications for chronic disease identification and management.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.022
GPT teacher head0.347
Teacher spread0.326 · 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 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

Citations34
Published2012
Admission routes3
Has abstractyes

Explore more

Same venueChronic diseases and injuries in CanadaSame topicObesity and Health PracticesFrench-language works237,207