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Record W2735582470 · doi:10.5539/jfr.v6n4p140

Effects of Palm Oil Consumption on Lipid Profile among Rural Ivorian Youth

2017· article· en· W2735582470 on OpenAlexvenueno aff
Ake Aké Alexandre, Monde Aké Absalome, Angèle Edjeme-Aké, Bahi Gnogbo Alexis, Djaman Allico Joseph, Yapo Angoué Paul

Bibliographic record

VenueJournal of Food Research · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Palm Production and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsPalm oilLipid profileCholesterolLipoproteinPalmBlood lipidsConsumption (sociology)Food scienceTotal cholesterolAnimal scienceMedicineChemistryBiologyEndocrinology

Abstract

fetched live from OpenAlex

As palm oil has been qualified as atherogen, we have studied the impact of its consumption on changes of lipid and lipoprotein profiles of young Ivorian healthy subjects living in rural areas. It is a descriptive cross-sectional analytical study of about 120 Ivorian subjects aged 18 to 30 years, including 65 regular consumers of palm oil and 55 subjects consuming that oil periodically as control subjects. Serum concentrations of triglycerides, total cholesterol, HDL, LDL cholesterols and lipoprotein (a) were measured by enzyme conventional methods. The TC serum varied not significantly in both subjects’ groups as the triglycerides and HDL-C did. In addition, 58.46% of palm oil consumers had hypoLDLemia. The serum concentration of lipoprotein (a) was not significantly elevated (p> 0.05) with consumers compared to controls: 33.85% versus 29.09%, p = 0.55. The percentage of subjects with normal serum concentrations is higher in all the studied parameters, with both that is the consumers and the controls, except LDL cholesterol, of which the percentage of subjects with a lower value is the highest (58.46% for consumers and 52.73% for controls). This study has shown that the consumption of palm oil did not alter the lipid and lipoprotein profile of the consumer, on the contrary, this consumption revealed a decrease in cholesterol levels with these subjects.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.134
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.343
Teacher spread0.297 · 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.

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

Citations7
Published2017
Admission routes1
Has abstractyes

Explore more

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