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Record W2052041133 · doi:10.3200/aeoh.63.3.143-153

Neuropsychiatric Symptoms, Omega-3, and Mercury Exposure in Freshwater Fish-Eaters

2008· article· en· W2052041133 on OpenAlexaff
Aline Philibert, Maryse F. Bouchard, Donna Mergler

Bibliographic record

VenueArchives of Environmental & Occupational Health · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsMercury (programming language)Freshwater fishFish <Actinopterygii>OmegaMercury poisoningEnvironmental healthMedicineEnvironmental chemistryBiologyFisheryInternal medicineChemistry

Abstract

fetched live from OpenAlex

Mercury is a neurotoxin, absorbed primarily through fish consumption. However, the nutritional benefit from omega-3 fatty acids (n-3 FA) may offset the deleterious effects of mercury. Increased n-3 FA have been associated with lower rates of mood disorders. The authors examined neuropsychiatric symptoms among 243 freshwater fish-eaters, with low serum n-3 FA (median = 0.11 mg/mL) and low mercury exposure (median in blood and hair = 2.22 and 0.54 microg/g). They assessed neuropsychiatric symptoms with the Brief Symptom Inventory. The results did not show the expected inverse association between serum n-3 FA and neuropsychiatric symptoms. For men who consumed more than 130 g of alcohol per week, the authors observed a positive association between serum n-3 FA and neuropsychiatric symptoms, possibly reflecting an alcohol-related release of n-3 FA from membranes into blood. They observed a positive relation between hair mercury and neuropsychiatric symptoms solely for women, suggesting that men may respond differently to mercury.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.014
GPT teacher head0.253
Teacher spread0.239 · 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

Citations11
Published2008
Admission routes1
Has abstractyes

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