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Record W6989476509

Associations between dietary and circulating phytosterols and cardiovascular disease risk biomarkers in a Manitoba adult cohort

2020· dissertation· en· W6989476509 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2020
Typedissertation
Languageen
FieldMedicine
TopicCholesterol and Lipid Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsPhytosterolQuartileArterial stiffnessBlood pressureCohortBody mass indexCholesterolBlood lipids
DOInot available

Abstract

fetched live from OpenAlex

Cardiovascular disease (CVD) is a leading cause of death worldwide. Elevated serum lipid levels and increased arterial stiffness are some of the risk factors responsible for the development of CVD. Phytosterols are well known for their cholesterol-lowering ability. Besides cholesterol-lowering, whether dietary phytosterols are beneficial for vascular function is not completely known yet. This thesis aimed to investigate the association between dietary and circulating phytosterols with serum lipid levels and arterial stiffness biomarkers, including blood pressure (BP), augmentation index (AIx), and pulse wave velocity (PWV). The secondary objective was to investigate the relationship of the Mediterranean-style dietary pattern scoring (MSDPS) with dietary phytosterols and its impact on CVD risk biomarkers. This cohort study on Manitoban adults included 157 men and 120 women, aged 30-46 years old. This study measured dietary and circulating phytosterols using 24-hour dietary recall and gas chromatography, respectively, and the MSDPS was used to evaluate the dietary pattern using the diet history questionnaire. Data were statistically analyzed using analysis of covariance, multiple linear regression and correlation. After adjustment for age, body mass index (BMI), total energy intake, fats as a percentage of energy intake, and dietary fiber, this study found that participants with high phytosterol intake (392.7±108.8 mg/d) in the highest quartile had 0.52 mmol/L (-10.2%) lower serum total cholesterol (TC) (P<0.05) and 0.47 mmol/L (-14.4%) lower (P<0.05) serum low-density lipoprotein cholesterol (LDL-C) than did the participants in the lowest quartile (97.7±36.5 mg/d). Phytosterol intake in the highest quartile showed a significant reduction in systolic BP (-5.3%, P<0.01), diastolic BP (-4.5%, P<0.01), and PWV (-3.4%, P<0.05) than those in the lowest quartile. The increased sitosterol-to-cholesterol ratio correlated with reduced serum TC, LDL-C, triglyceride, and diastolic BP, PWV (all P<0.001) and systolic BP (P<0.01) and increased high-density lipoprotein (P<0.01). A lower lathosterol-to-cholesterol ratio was correlated with decreased PWV (P<0.0001). No significant associations were found between MSDPS and the dietary phytosterols. The study results concluded that dietary phytosterol intake is associated with cholesterol-lowering and reduced arterial stiffness. Therefore, the present study suggests that increased intake of dietary phytosterols could help to reduce the risk of CVD.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.530
Threshold uncertainty score0.934

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.213
Teacher spread0.196 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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