The influence of the polyvalent nanodisperse iron oxide and quercetin composition on the women's psycho-emotional state and cognitive function under war stress
Bibliographic record
Abstract
Chronic psycho-emotional stress has a permanent negative impact on the psycho-emotional state and cognitive function of the population of the Kyiv region. The purpose of the study was to find out the effect of the course application of the composition of polyvalent nanodisperse iron oxide and quercetin on the psycho-emotional state and cognitive functioning of women who were in conditions of psycho-emotional stress as a result of the Russian-Ukrainian war. The study included 56 women aged 40-74 years who had been in the Kyiv region without permission since the beginning of the Russian-Ukrainian war (February 24, 2022). After the examination, the women were divided into two groups, 28 people each, which did not differ among themselves regarding indicators. The women of the first group took a nanocomposite (dietary supplement "LisoferrinTM") for a month, consisting of polyvalent nanodispersed iron oxide, quercetin and ascorbic acid. Women in the control group took a placebo for a month. The psycho-emotional state was determined using the PLC-5 scale and the Beck depression scale, the Spielberger-Hanin test, and cognitive functions were determined using the Montreal Cognitive Function Assessment Scale (MoCA), the Schulte test, and the reaction speed test. After the course the use of lysoferrin, an improvement in the general condition of the examinees was found, a decrease in body stress, the level of situational and personal anxiety, the level of depression, as well as an increase in the overall score of the Montreal test and a decrease in the time for completing the task in the Schulthei test, which indicates an improvement in mental functions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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 teacher head, 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".