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Record W2413243023 · doi:10.1191/1358863x04vm552xx

Vascular viewpoint

2004· article· en· W2413243023 on OpenAlexaff
Lawrence DeKoning, Sonia S. Anand

Bibliographic record

VenueVascular Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsMcMaster UniversityHamilton General Hospital
Fundersnot available
KeywordsMedicineMediterranean dietProspective cohort studyPopulationDiabetes mellitusDemographyEuropean Prospective Investigation into Cancer and NutritionCohortInternal medicineEnvironmental healthEndocrinology

Abstract

fetched live from OpenAlex

Question: Does adherence to a Mediterranean diet improve total mortality, as well as mortality due to coronary heart disease (CHD) and cancer? Population: Men and women aged 20 86 years from all geographic areas within Greece. Subjects having CHD, cancer, and diabetes mellitus at the time of enrollment were excluded. Design and methods: A cohort of 28 572 participants was recruited as part of the European Prospective Investigation into Cancer and Nutrition (EPIC) and 22 043 were followed prospectively for a median duration of 44 months. Baseline measurements of diet were obtained using a validated semi-quantitative food-frequency questionnaire, and adherence was determined using an aggregate 10-point scale (from zero to nine, indicating greater adherence with increasing score) devised a priori to incorporate nine prominent components of the traditional Mediterranean diet. A binary value was assigned based on the relative consumption of presumed beneficial or detrimental components. Participants whose consumption of beneficial components (vegetables, legumes, fruits and nuts, cereal, fish, ratio of monounsaturated to saturated fats) was above sex-specific medians were assigned a score of one. Participants whose consumption was below-median were assigned a score of zero. Detrimental components (meat and poultry, dairy) were scored in the opposite fashion -participants whose consumption was above-median were assigned a score of zero, and participants whose consumption was below-median were assigned a score of one. Scoring of alcohol intake was based on whether consumption was within beneficial sex-specific consumption ranges (males, 10 50 g per day; females, 5 25 g per day). Cause of death was obtained from death certificates and official records, and was classified by physicians blinded to diet score. Cox proportional hazards regression models were used to measure the association between studied food groups, adherence to the Mediterranean diet and mortality after adjustment for age, sex, energy expenditure, smoking status, anthropomorphic measures, and other confounding factors. Results: Over the follow-up period, 81 139 person-years were accrued and 275 deaths were recorded. Adherence to the Mediterranean diet was inversely related to mortality. A two-point increase in the aggregate score resulted in an adjusted hazard ratio for death of 0.75 (95% confidence interval [CI], 0.64 to 0.87). Mortality due to CHD (adjusted hazard ratio, 0.67 [95% CI, 0.47 to 0.94]) and mortality due to cancer (adjusted hazard ratio, 0.76 [95% CI, 0.59 to 0.98]) were also inversely associated with a two-point increase in the aggregate score. Consumption of individual food components in the Mediterranean diet was generally not associated with total mortality. Consumption of fruit and nuts (adjusted hazard ratio 0.82 [95% CI, 0.70 to 0.96]) and the ratio of monounsaturated fats to saturated fats (adjusted hazard ratio 0.86 [95% CI, 0.76 to 0.98]), however, were associated with reduced mortality. Conclusion: Adherence to the Mediterranean diet is associated with a significant reduction in total mortality, CHD, and cancer mortality. Individual components of the diet are not generally predictive of total mortality, suggesting that multiple dietary components are necessary to yield the most protective effect.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.326
Threshold uncertainty score0.961

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.3260.194

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 head0.018
GPT teacher head0.268
Teacher spread0.250 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations73
Published2004
Admission routes1
Has abstractyes

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