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Comparative characteristics of methods for assessing the physical development of schoolchildren in hygienic practice

2025· article· en· W4415226441 on OpenAlexaboutno aff
L. M. Vakolіuk, Ольга Браткова, Оксана Дударенко, Інна Дреженкова, N. V. Stoyan

Bibliographic record

VenueReports of Vinnytsia National Medical University · 2025
Typearticle
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical developmentRelevance (law)Christian ministryProcess (computing)Compliance (psychology)Physical cultureInterpretation (philosophy)Physical health

Abstract

fetched live from OpenAlex

Annotation. Assessment of physical development of children and adolescents is a key stage of medical and social monitoring of the health of the child population, which allows timely detection of deviations in growth, development and formation of the body. Changes occurring in the modern educational, social and environmental environment determine the relevance of improving methods for studying physical development. This problem is of particular importance in connection with the spread of hypodynamia, malnutrition, increased psycho-emotional stress and the growth of chronic pathology in school-age children. An analysis of modern methods for assessing the physical development of children and adolescents was conducted, taking into account current regulatory documents and scientific approaches. Three key methods were considered: the method of sigmal deviations, the complex method and criteria for assessing physical development, approved by the Order of the Ministry of Health of Ukraine No. 52 of 2024. Special attention was paid to the methodological foundations of each approach, as well as the principles of calculating and interpreting results. In the process of preparing the article, a theoretical and analytical review of scientific publications, methodological recommendations and regulatory documents relating to the assessment of the physical development of children and adolescents was carried out. The analysis was carried out by comparing the methodological foundations, assessment criteria, practical suitability of each of the methods, as well as their compliance with modern ideas about harmonious physical development. The source base was made up of modern publications in professional medical-biological and pedagogical publications, as well as current regulatory legal acts of Ukraine. The article emphasizes the advantages of the sigmal deviation method in the standardized quantitative assessment of deviations of anthropometric indicators from medical and biological norms. The complex method is presented as a multifaceted tool that takes into account somatotype, harmony and biological age, but requires a highly qualified specialist. Analysis of the 2024 Ministry of Health criteria allowed us to identify their dependence on standard estimates (z-scores), even despite the absence of a direct mention of them in the regulatory document. The criteria are designed for quick and simple diagnostics in clinical and educational practice. The problem of harmonious development is analysed, which in the new Ministry of Health criteria is represented indirectly through the correspondence of body weight to height. The updated criteria of the Ministry of Health of Ukraine (2024) are based on modern centile analysis, which unifies approaches to the diagnosis of physical development and allows adapting international standards of the EU, USA and Canada to the Ukrainian population. Comparison of methods allowed to determine their informativeness, accessibility, objectivity and practical feasibility in various areas: from school medicine to the stages of in-depth preventive examinations. The results obtained can be used to improve the quality of medical and pedagogical monitoring and improve educational programs for students of medical faculties.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.503
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.045
GPT teacher head0.465
Teacher spread0.420 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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