Post-COVID cognitive impairment, level of depression and anxiety in university students
Bibliographic record
Abstract
Recently, a significant amount of research has focused on the impact of COVID-19 on mental health. One of the increasingly common long-term consequences of COVID-19 is its effect on cognitive function, even in patients with an initially mild course of the acute illness. The article presents the results of a study of cognitive impairment and anxiety and depression levels among students of a higher medical educational institution. The study consisted of a continuous screening survey of students who had and had not experienced COVID-19 using an original questionnaire, as well as psychometric scales: Montreal Cognitive Assessment (MoCA), Patient Health Questionnaire (PHQ-9), and Generalized Anxiety Disorder-7 (GAD-7). Based on the screening results, two groups were formed (those who had COVID-19 and those who did not), and a comparative analysis was carried out. It was found that a third (32.4%) of young people who had COVID-19 developed cognitive impairment. In students who were not ill, cognitive impairment was detected half as often – 16.8%. It was revealed that regardless of the fact of having suffered an infectious disease, a quarter of students experienced increased anxiety and decreased mood. Affective experiences, in turn, negatively affected cognitive functioning and caused young people to be more attentive to their health, including mental health, which was accompanied by a large number of positive responses when using the PHQ-9 and GAD-7 screening questionnaires.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".