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Record W4391362304 · doi:10.15690/vramn14392

A Single-Stage Population-Based Study of the Relationship between Cognitive and Somatic Health Parameters in Children of Secondary School Age

2024· article· en· W4391362304 on OpenAlexaff
George A. Karkashadze, Elena V. Kaitukova, Tinatin Yu. Gogberashvili, Tatiana A. Konstantinidi, Olga B. Gordeeva, Aishat M. Gazalieva, Margarita А. Soloshenko, Svetlana E. Kondratova, E. A. Abashidze, Grigory V. Revunenkov, E.V. Komarova, Marika I. Ivardava, О. М. Драпкина, R. N. Shepel, K. S. Mezhidov, Leyla S. Namazova-Baranova

Bibliographic record

VenueAnnals of the Russian academy of medical sciences · 2024
Typearticle
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsStage (stratigraphy)Somatic cellCognitionPopulationDevelopmental psychologyPsychologyDemographyBiologySociologyGeneticsPsychiatry

Abstract

fetched live from OpenAlex

Background. One of the four important components of the formation of cognitive functions is somatic health. But to date, there are no population studies that consider the relationship with cognitive functions and school performance of a large range of somatic factors, which allows us to compare the strength of their hypothetical contribution to cognitive functioning with each other. This study is the second part of a population-based study, the first part of which is presented in the previous publication "A Single-Stage Population-Based Study of the Prevalence of Mild Cognitive Impairment in Children of Secondary School Age". Aims — to determine the main patterns in the relationship between cognitive-academic and somatic factors in a cohort of Russian children, 5th grade students at school. Methods. In Russian schoolchildren of the 5th grades of municipalities representing cities of all federal districts of the Russian Federation, the links with integrative cognitive success, the number of subtests performed at the level of mild cognitive impairment, the results of individual cognitive subtests, academic performance and the leading hand factor were analyzed — the following somatic factors: the presence of skin pathology, bronchial asthma, orthopedic, ophthalmological disorders, visual acuity, body mass index, parameters of the study of the function of external respiration, electrocardiography, ultrasound examination of the thyroid gland, laboratory blood tests. Results. The results of the survey of 1036 participants, 51% of them girls, were admitted to the analysis. It has been established that iron content is directly related to integrative cognitive success and school performance, the relationship is especially strong between subgroups of iron content above and below 26.4 mmol/l. Clinical levels of erythrocytes are more strongly associated with integrative cognitive success and individual cognitive functions than other factors: in erythropenia cognitive parameters are worse. The presence of thyroid cysts directly correlates with some of the worst parameters of cognitive activity. High body mass index and low hemoglobin are associated with poorer academic performance. Conclusions. The results of the study for the first time on a cohort of Russian schoolchildren showed a connection with cognitive activity and school performance of a number of somatic factors, including iron content, which requires further in-depth study.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.192
GPT teacher head0.441
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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