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Record W4287446812

Association between Cancer Risk and Behaviors Adherent to Cancer Prevention Recommendations in Ontario, Canada.

2021· article· en· W4287446812 on OpenAlexaboutno aff
Ying Wang, Mohammad Haque, Stephanie Ming Young, Michelle Cotterchio, Rebecca Truscott

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCancer preventionCancerColorectal cancerConfoundingEnvironmental healthAlcohol consumptionCancer registryPhysical activityInternal medicineGerontologyPhysical therapyBiologyAlcoholBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

PURPOSE: In 2007, the World Cancer Research Fund (WCRF) and American Institute for Cancer Research (AICR) published several diet and physical activity recommendations to reduce cancer risk. Our objective was to examine the association between self-reported behaviors consistent with the WCRF/AICR recommendations and the risk of developing any cancer and colorectal cancer in Ontario. METHOD: 111,139 Ontarians who completed the Canadian Community Health Survey (2000-2008) were linked to the Ontario Cancer Registry to determine whether they were diagnosed with cancer. Their responses were used to assess behaviors consistent with 4 WCRF/AICR recommendations (body fatness, physical activity, vegetable and fruit consumption, and alcoholic drinks). Multivariate Cox proportional hazard regression models were used to assess the association between adherence to the 4 WCRF/AICR recommendations and subsequent cancer risk. RESULTS: Among the 111,139 participants, 8,942 (8%) were diagnosed with cancer with a mean follow-up of 9.6 years. Compared to not meeting any of the selected WCRF/AICR recommendations (composite score, 0), participants who were most adherent to the selected WCRF/AICR recommendations (composite score, 4) were 31% less likely to develop any cancer (HR, 0.69; 95% CI, 0.51-0.92) and were 61% less likely to develop colorectal cancer (HR, 0.39; 95% CI, 0.20-0.77) after adjusting for some potential confounding factors. When stratified by sex, the associations remained statistically significant for men, but not for women. In addition, increasing vegetable and fruit consumption, having lower body fatness, and decreasing alcohol consumption were each associated with reduced risk of both any cancer and colorectal cancer. CONCLUSION: Healthy behaviors consistent with select WCRF/AICR recommendations were associated with a decreased risk of developing any cancer and colorectal cancer among this Ontario cohort.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.035
GPT teacher head0.291
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2021
Admission routes1
Has abstractyes

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