Nutrition and cognitive function in the elderlypopulation
Bibliographic record
Abstract
function.There is some evidence that the Mediterranean diet as well as some types of dietary restrictions can have protective effects against cognitive decline and dementia.Some animal-based models suggest that lower calorie intake is associated with increased life expectancy and reduced risk of cognitive decline.A low intake of saturated fatty acids (SFA) is one of the factors in the Mediterranean diet that is beneficial to health.Replacing SFA with PUFA improves glucose and cholesterol regulation and increases BDNF levels in the hippocampus.The Mediterranean diet is also rich in dietary polyphenols, which have antioxidant and anti-inflammatory properties.Conclusions.Protective effects of diet are determined by adherence to diet before ageing.There is currently no evidence of the therapeutic effectiveness of interventional dietary changes in patients with clinical manifestations of dementia. StreSzczenieCel. Zaburzenia funkcji poznawczych, w tym otępienia, dotykające znaczną część populacji w wieku podeszłym, stają się jednym z najważniejszych problemów zdrowotnych.Zmiany biologiczne prowadzące do uszkodzenia mózgowia rozpoczynają się wiele lat przed początkiem uchwytnych objawów klinicznych, a ich nasilenie uwarunkowane jest wieloma czynnikami.Część czynników mających wpływ na wystąpienie otępienia może podlegać modyfikacjom środowiskowym.Jednym z nich jest dieta.Przegląd piśmiennictwa.W wielu badaniach wykazano związek pomiędzy rodzajem diety a nasileniem zaburzeń AbStrAct Objectives.Cognitive problems, including dementia, which affects a significant part of the elderly population, are becoming a major public health concern.The biological changes leading to brain damage begin years before the onset of clinical symptoms.The severity of biological changes is determined by many factors.Some of those factors, including diet, can be modified.Studies have shown that the type of diet affects the severity of cognitive impairment and/or the prevalence of dementia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".