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Record W7056068889

Effets de la consommation de légumineuses sur les composantes du syndrome métabolique chez la femme

2010· other· fr· W7056068889 on OpenAlexaboutno aff

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2010
Typeother
Languagefr
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsConsumption (sociology)PregnancyRisk factorAlcohol intakeFood consumption
DOInot available

Abstract

fetched live from OpenAlex

The work presented in this dissertation aimed at evaluating the effects of pulse consumption in women presenting at least two components of the metabolic syndrome.A total of 134 women were randomly assigned to consume for a 16-week period either 750 ml of pulses weekly or control meals without pulses.Primary and secondary components of the metabolic syndrome were measured during the nutritional intervention.A significant increase in dietary fiber intake and a significant decrease in dietary cholesterol intake were observed in the pulse group.For all components of the metabolic syndrome, no significant differences were observed between the group consuming pulses or the control group, however plasma fibrinogen concentration decreased significantly only in the pulse group.In conclusion, a nutritional intervention providing 750 ml of pulses weekly had no effect on primary and secondary components of the metabolic syndrome. Ill Avant-proposCe mmoire inclut l'article Effects of pulse consumption in women presenting components of the metabolic syndrome: A randomized controlled trial . titre de premire auteure, j'ai t responsable de la cueillette de donnes, de la saisie de donnes et de l'criture de l'article.J'aimerais exprimer ma reconnaissance envers les investigateurs et co-investigateurs, ainsi que les personnes qui ont contribu la mise en place de l'essai clinique dont sont tires les donnes de l'article, notamment : Dre Sylvie Dodin pour son ide originale et l'ensemble de sa contribution projet, Dre Simone Lemieux pour son implication dans la conception de l'tude et les analyses nutritionnelles, Genevive Asselin pour la mise en place de l'tude et la cueillette de donnes, Alexandra Dufresne pour la ralisation des analyses statistiques, Dr Andr Lemay pour son soutien dans la conception de l'tude et Dr Jean-Claude Forest pour les analyses biochimiques qui ont t ralises sous sa supervision.Cet article est actuellement accept pour publication avec modifications mineures au Mediterranean Journal of Nutrition and Metabolism et la version prsente dans ce mmoire comporte l'intgralit du texte.L'essai clinique randomis ralis dans le cadre de mon projet de matrise a t financ par Puise Canada . Lors de ma premire anne de matrise, j'ai bnfici d'une bourse de recherche octroye par la Chaire de recherche Lucie et Andr Chagnon pour une approche intgre en prvention de l'Universit Laval.Lors de ma deuxime anne de matrise, j'ai bnfici d'une bourse de formation de matrise pour les dtenteurs d'un diplme professionnel, octroye par le Fonds de la recherche en sant du Qubec (FRSQ).Mes travaux de recherche se sont drouls au sein d'une quipe de recherche qui m'est trs prcieuse.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
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 head0.006
GPT teacher head0.180
Teacher spread0.174 · 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 designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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