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Record W3215059136 · doi:10.1161/circ.137.suppl_1.p382

Abstract P382: Canola and High-Oleic Acid Canola Oils Improve Lipid/Lipoprotein Parameters Compared to an Oil Blend Characteristic of a Western Dietary Pattern in Individuals at Risk for Metabolic Syndrome: A Randomized Crossover Clinical Trial

2018· article· en· W3215059136 on OpenAlexaff
Kate J. Bowen, Penny M. Kris‐Etherton, Sheila G. West, Jennifer Fleming, Philip W. Connelly, Benoı̂t Lamarche, Patrick Couture, David J.A. Jenkins, Carla G. Taylor, Peter Zahradka, Shatha Hammad, Jyoti Sihag, Xiang Chen, Valérie Guay, Julie Maltais‐Giguère, Danielle Perera, Angela Wilson, Sandra Castillo, Peter J.H. Jones

Bibliographic record

VenueCirculation · 2018
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsUniversity of ManitobaSt. Boniface HospitalUniversité LavalUniversity of TorontoFleming College
Fundersnot available
KeywordsCanolaPolyunsaturated fatty acidOleic acidMedicineFood sciencePopulationFatty acidCholesterolBiologyInternal medicineBiochemistryEnvironmental health

Abstract

fetched live from OpenAlex

Introduction: Identifying dietary interventions for cardiometabolic disease prevention in individuals with metabolic syndrome is relevant to a significant portion of the population. Numerous studies have investigated the effects of canola oil on cardiovascular disease risk; however, no studies have compared canola oil diets to a control diet with a fatty acid composition characteristic of Western intakes in individuals with metabolic syndrome risk factors. The objectives of this study were to evaluate effects of canola oil, high-oleic acid canola oil (HOCO), and a control oil (blend of butter, safflower, coconut, and flaxseed oils formulated to represent a Western diet fatty acid profile) on lipids, lipoproteins, and apolipoproteins. Hypothesis: We tested the hypothesis that the two canola oil diets would elicit beneficial effects on the total lipid/lipoprotein profile compared to the Western (control oil) diet. Methods: In a multi-center, double blind, randomized, three-period crossover, controlled feeding clinical trial, 119 individuals with an increased waist circumference plus at least one additional metabolic syndrome risk factor consumed prepared isocaloric, weight maintenance diets containing canola oil [17.5% E from monounsaturated fatty acids (MUFA), 9.2% polyunsaturated fatty acids (PUFA), 6.6% saturated fatty acids (SFA)], HOCO (19.1% E from MUFA, 7.0% PUFA, 6.4% SFA), or control oil (11% E from MUFA, 10% PUFA, 12% SFA) for six-weeks each separated by 4-12 week washouts. The differences at the end of 42 days of feeding were tested. Results: The canola oil and HOCO resulted in lower endpoint total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), the TC: high-density lipoprotein-cholesterol (HDL-C) ratio, apolipoprotein (apo) B, the apoB: apoA1 ratio, and non-HDL-C compared to control oil ( P <0.0001 for treatment effect), with no differences between HOCO and canola oil for these parameters. Endpoint apoA1 did not significantly differ between the two canola oils and control, but was higher after the HOCO compared to canola oil (1.46 ± 0.02 g/L vs. 1.43 ± 0.02 g/L, P = 0.0462). There were no differences among the three diets in endpoint triglycerides or HDL-C. Conclusions: Incorporating canola or high-oleic acid canola oils into the diet improves blood lipids and lipoproteins compared to a contemporary Western diet in individuals with at least two criteria for metabolic syndrome.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.056
GPT teacher head0.359
Teacher spread0.303 · 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 designRandomized trial
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

Citations0
Published2018
Admission routes1
Has abstractyes

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