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Record W2966642662 · doi:10.5539/jfr.v8n5p33

Effects of Oligofructose-enriched Inulin and Digestive Symptoms on Subjective Wellbeing, Mood and Cognitive Performance

2019· article· en· W2966642662 on OpenAlexvenueno aff
Andrew Smith

Bibliographic record

VenueJournal of Food Research · 2019
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsnot available
Fundersnot available
KeywordsInulinMoodCognitionPlaceboEffects of sleep deprivation on cognitive performanceFood sciencePsychologyMedicineClinical psychologyBiologyPsychiatry

Abstract

fetched live from OpenAlex

Rationale: Research has shown that the behavioural effects of inulin vary depending on dose, whether combined with food or not, and length of time that the inulin is consumed. Objectives: The aim of this study was to examine the acute effects of 13g of inulin on digestive symptoms, mood and cognitive performance. Methods: This study compared 13g of inulin and maltodextrin placebo over a single day using a cross-over design (N=51), with a measurement of mood and cognition occurring across the day. Results: Inulin increased the number of motions occurring and the number of stools passed. Inulin was associated with a more negative mood and impaired cognition, especially episodic memory. Conclusions: Inulin can influence behaviour through a variety of mechanisms. Effects seen in this study could not reflect changes in gut flora due to the short time period studied. Other possible mechanisms are discussed.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.300
Teacher spread0.288 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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Same venueJournal of Food ResearchSame topicMicrobial Metabolites in Food BiotechnologyFrench-language works237,207