Erythrocyte N-3 Is Inversely Correlated with Serious Psychological Distress among the Inuit: Data from the Nunavik Health Survey
Bibliographic record
Abstract
OBJECTIVE: A decrease in omega-3 (n-3) long-chain polyunsaturated fatty acids (LC-PUFAs) and an increase in omega-6 (n-6) linoleic acid in the diet have been suggested as contributing factors in the pathogenesis of depression. The present study examined the relationship between red blood cell (RBC) n-3 and n-6 and serious psychological distress (SPD). METHODS: The authors analyzed data on 746 Inuit adults who took part in the 2004 Nunavik Inuit Health Survey. Fatty acids were quantified in RBC membranes. Psychological distress was measured by the Kessler 6-Item Scale (K6), a brief screening instrument for Diagnostic and Statistical Manual of Mental Disorders (fourth edition) mood disorders in the past 30 days. A score ≥13 on the K6 has been established as a threshold to differentiate cases of SPD from noncases. STATISTICAL ANALYSIS: The risk of SPD according to RBC n-3 and n-6 was assessed by logistic regression analysis. Weighted estimates were calculated by the SUDAAN statistical package to account for the complex survey design. RESULTS: The 30-day prevalence rate of SPD was 12.4%. In SPD cases, mean n-3 LC-PUFAs were lower (7.81% ± 0.24% [SEM] vs. 9.24% ± 0.12%, p < 0.0001) and mean total n-6 was higher (27.3% ± 0.36% vs. 25.9% ± 0.15%, p = 0.0003) than in noncases. For each 1% increase in RBC n-3 LC-PUFA, the odds ratio for SPD was 0.90 (95% confidence interval: 0.83, 0.99; p = 0.0248). However, neither individual n-6 FAs nor total n-6 was significantly associated (p ≥ 0.05) with SPD in multivariate analysis. CONCLUSIONS: In this study, the authors observed that n-3 LC-PUFAs in RBCs were inversely associated with SPD. The study's cross-sectional design implies that one cannot ascertain any causal relationship. The findings suggest that n-3 LC-PUFA consumption from the traditional Inuit diet deserves prospective analyses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".