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Record W2995191634 · doi:10.9778/cmajo.20190049

Monitoring progress toward United Nations commitments: characteristics of Canadian legislation to promote tobacco control, physical activity and healthy eating. A descriptive study

2019· article· en· W2995191634 on OpenAlexaffvenueabout
Katerina Maximova, Kim D. Raine, Christine D Czoli, Jennifer O’Loughlin, John Minkley, Kendall Tisdale, Tania Bubela

Bibliographic record

VenueCMAJ Open · 2019
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsOttawa Public HealthSimon Fraser UniversityUniversité de MontréalUniversity of AlbertaCanadian Partnership Against CancerUniversity of Ottawa
Fundersnot available
KeywordsLegislationEnforcementTobacco controlPsychological interventionMedicineEnvironmental healthBusinessPolitical scienceLawPublic healthNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Legal interventions are important mechanisms for chronic disease prevention. Since Canadian laws to promote physical activity and healthy eating are growing, we compared the characteristics of legal interventions targeting physical activity and healthy eating with tobacco control laws, which have been extensively described. METHODS: We reviewed 718 federal, provincial and territorial laws promoting tobacco control, physical activity and healthy eating captured in the Prevention Policies Directory between spring 2010 and September 2017. We characterized the legislation with regard to its purpose, tools to accomplish the purpose, responsible authorities, target location, level of coerciveness and provisions for enforcement. RESULTS: Two-thirds (67.9%) of tobacco control legislation had a primary chronic disease prevention purpose (explicit in 5.3% of documents and implicit in 62.6%), and 29.5% had a secondary chronic disease prevention purpose. One-quarter (27.0%) of physical activity legislation had a primary chronic disease prevention purpose (explicit in 8.8% of documents and implicit in 18.1%), and 53.0% had a secondary chronic disease prevention purpose. In contrast, 69.3% of healthy eating legislation had no chronic disease prevention purpose. Tobacco control legislation was most coercive (restrict or eliminate choice), and physical activity and healthy eating legislation was least coercive (provide information or enable choice). Most tobacco control legislation (85.8%) included provisions for enforcement, whereas 47.4% and 24.8% of physical activity and healthy eating laws, respectively, included such provisions. Patterns in responsible authorities, target populations, settings and tools to accomplish its purpose (e.g., taxation, subsidies, advertising limits, prohibitions) also differed between legislation targeting tobacco control versus physical activity and healthy eating. INTERPRETATION: Legislative approaches to promote physical activity and healthy eating lag behind those for tobacco control. The results serve as a baseline for building consensus on the use of legislation to support approaches to chronic disease prevention to reduce the burden of chronic disease in Canadians.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.094
GPT teacher head0.376
Teacher spread0.282 · 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

Citations9
Published2019
Admission routes3
Has abstractyes

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