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COGNITIONS AND EMOTIONS OF PATIENTS DURING POST-COVID REHABILITATION

2023· article· en· W4385384684 on OpenAlexaboutno aff
Oleg Borisov, Denis V. Hartfelder, Anna Nikolaevna Zakharova, Evgenia S. Komarova, G.S. Dulina

Bibliographic record

VenueSiberian Journal of Life Sciences and Agriculture · 2023
Typearticle
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsMoodAnxietyRehabilitationCognitionHospital Anxiety and Depression ScalePsychiatryDepression (economics)Clinical psychologyMedicineDescriptive statisticsMontreal Cognitive AssessmentPsychologyPhysical therapyCognitive impairment

Abstract

fetched live from OpenAlex

Background. A lot of scientific articles have been published since the global COVID-19 pandemic was officially announced by WHO. Although different aspects of COVID-19 impact on the mental sphere were studied, some issues regarding the psychological characteristics of those who have had a coronavirus infection are still not fully revealed. It is noted by many authors that even when the main symptoms of the disease are subsided, symptoms of anxiety, depression, cognitive & mood disorders are still persistent even after the treatment.
 Purpose: to study cognitive and emotional spheres of patients who are recovering from coronavirus infection and currently undergoing rehabilitation procedures.
 Materials and methods. The study involved 100 patients undergoing medical rehabilitation, 55 of them are recovering from traumatological, neurological and cardiovascular disorders (27 male and 28 female patients, aged 57±10) and 45 patients are recovering from pneumonia caused by coronavirus infection (11 male and 34 female patients, aged 58±12). The study was conducted using the Montreal Cognitive Assessment Scale (MoCA), the Hospital Anxiety & Depression Scale (HADS), and the Health-Activity-Mood Scale (SAN). Statistical analysis of raw data had included calculation of descriptive statistics, Pearson’s correlation coefficient, Student’s t-test for independent groups, Fisher’s φ* transformation and significance of correlation coefficients differences with Fisher’s transformation & Student T-distribution, and was processed with Microsoft Office Excel 2016 build-in data analysis package.
 Results. Analysis of MoCA results showed that ratio of severe impairments of memory functions and attention span is higher in post-COVID group of patients. This group also had higher rate of anxiety symptoms and sub-clinical depression state. In both groups more than a half of the patients have average level of anxiety and depression, however patients from post-COVID group are more likely to experience more symptoms of anxiety than non-COVID patients. Patients from post-COVID group are significantly more likely to have a higher scores of anxiety compared to patients in the other group and at the same time they are less likely to have average anxiety level. Differences between groups were discovered for “Health” and “Mood” scales of SAN with higher scores among post-COID patients as well as lower scores for “Activity” scale.
 Conclusion. Statistically significant differences between the groups were found; common and specific correlations were found for both groups. The results may be useful for healthcare professionals working with post-COVID patients, and can also be used by psychologists who deal with the problems of social and psychological rehabilitation of post-COVID patients.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.180

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.296
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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