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Record W2063017415 · doi:10.1139/h04-051

Exercise, Postprandial Triacylglyceridemia, and Cardiovascular Disease Risk

2004· review· en· W2063017415 on OpenAlexaff
Terry E. Graham

Bibliographic record

VenueCanadian Journal of Applied Physiology · 2004
Typereview
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPostprandialIngestionMedicineInternal medicineEndocrinologyAerobic exerciseLipoproteinDiseaseRisk factorPhysical exerciseMealCardiologyCholesterolDiabetes mellitus

Abstract

fetched live from OpenAlex

An elevation of plasma triacylglycerides (TAG) is a well recognized cardiovascular risk factor. Less appreciated is that high and prolonged elevations in TAG in the postprandial (PP) phase is also a risk factor. Given that we spend approximately 18 hrs a day in the PP state, this is particularly critical. The elevation is due to both cylomicron and very low density lipoprotein TAG. It is thought that enhancing the concentrations of these lipoproprotein fractions increases the production of smaller, more dense low density lipoprotein and that this leads to increased cardiovascular disease risk. The PP TAG response is greater in men, in obese individuals, and in type 2 diabetics. It has been reported repeatedly that exercise the day before ingestion of a high fat meal is associated with a marked dampening of the PP TAG rise. The mechanisms for this are not clear and do not appear to be due to changes in the exercised muscle itself. There is some speculation that the production of plasma TAG may be decreased. The exercise benefits are lost within 3 days. The minimum exercise required has not been determined, but even 30 min of intermittent aerobic exercise or mild resistance exercise has a positive effect. This demonstrates a clear benefit from an active lifestyle and one that does not require intense exercise or months of training.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.017
GPT teacher head0.245
Teacher spread0.228 · 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 designOther design
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

Citations28
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Applied PhysiologySame topicDiabetes, Cardiovascular Risks, and LipoproteinsFrench-language works237,207