イクラオイル由来DHA・イクラオイル由来EPA含有油脂加工食品が中高齢者の認知機能および健康関連QOL に及ぼす効果―ランダム化二重盲検プラセボ対照並行群間比較研究―
Bibliographic record
Abstract
Objectives This study aimed to evaluate the efficacy of a supplement product containing salmon roe oil-derived DHA and EPA on cognitive function and mental health-related QOL in middle-aged and older adults. Methods A randomized, double-blind, placebo-controlled, parallel-group study was conducted in 100 participants aged 60 to 85 years with subjective memory complaints or symptoms of forgetfulness pointed out by close relatives. Participants were randomly assigned to receive a test product containing salmon roe oil（DHA and EPA）or placebo for 12 weeks. Primary endpoint was evaluated by Japanese version of Montreal Cognitive Assessment （MoCA-J）, and secondary endpoints were evaluated by Mini-Mental State Examination （MMSE）, 36-Item Short Form Survey（SF-36）. Results Significant improvement was observed in both the mental health and the mental component scores（2MCS and 3MCS）of SF-36 in the test product group compared with the placebo group at Week 12. In a post hoc analysis of the MoCA-J scores by exercise habits, significant improvement was observed in a language test score in the subgroup with exercise habits at least once a week and an attention test score in the subgroup without exercise habits in the test product group. No clinically significant adverse events were reported during the study. Conclusions The results suggest that the ingestion of the test product improves（1）mental health-related QOL,（2）verbal memory for people with exercise habits at least once a week, and （3）working memory and attention function for people without exercise habits in middle-aged and older adults. （UMIN ID: UMI39671）
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".