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Anthropometric parameters as markers for hyperleptinemia in adolescents

2024· article· en· W4405142905 on OpenAlexaboutno aff
Т. А. Баирова, V. V. Balzhieva, Л. Ф. Шолохов, Екатерина Шенеман, Л. В. Рычкова

Bibliographic record

VenuePEDIATRIA Journal named after G N SPERANSKY · 2024
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnthropometryInternal medicine

Abstract

fetched live from OpenAlex

Leptin is an energy homeostasis marker synthesized by cells of adipose tissue (adipocytes) and gastric mucosa. The search for clinical and anthropometric parameters associated with energy homeostasis disorders in excess body weight (BW) and obesity is necessary for stratification of patients at risk for early implementation of energy homeostasis disorders. The purpose of this re-search was to evaluate the relationship between serum leptin concentration and anthropometric parameters reflecting the topography of subcutaneous fat in adolescents of different ethnicities with excess BW and obesity in order to identify the most informative anthropometric parameters of energy homeosta-sis disorders. Materials and methods used: a single-center cross-sectional study of 362 adolescents aged 11 to 17 y/o residing in the Republic of Buryatia and the Irkutsk Oblast of Russia was conducted in 2015-2016 that included the participants as follows: 186 Caucasians (46 boys/140 girls) and 176 Mongoloids (96 boys/80 girls); 136 adolescents in the control group (38%) and 226 adolescents with excess BW and obesity (62%). All par-ticipants had their linear height, BW, waist (WC) and hip (HC) circumference, skinfold thickness measured as well as the body mass index (BMI, in kg per m2) calculated. The concentrations of glucose, total cholesterol, high-density, low-density and very low-density lipoprotein cholesterol, triglycerides and in-sulin were determined. The HOMA index was calculated. Serum leptin was de-termined by enzyme immunoassay using DBC Leptin ELISA kit (Diagnostics Biochem Canada Inc., Canada) with detection using BioTek Elx808 Microplate Spectrophotometer (Agilent Technologies, Inc., USA). Results: a strong posi-tive correlation was found between serum leptin levels and SDS BMI and trip-onderal BMI in adolescents of both ethnic groups: in Caucasian boys r=0.747 (p<0.001), r=0.767 (p<0.001), in Caucasian girls r=0.687 (p<0.001) and r=0.695 (p<0.001); in Mongoloid boys r=0.765 (p<0.001), r=0.852 (p<0.001), in Mongoloid girls r=0.612 (p<0.001), r=0.667 (p<0.001), respectively. Ac-cording to the results of ROC analysis, AUC WC/height showed good diagnos-tic significance for detecting hyperleptinemia (AUC=0.8-0.9) in adolescents from all the studied groups. Conclusion: the triponderal index and the WC/height ratio are informative anthropometric indicators for energy metabo-lism disorders and hyperleptinemia in Caucasian and Mongoloid adolescents of both genders with excess BW and obesity.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.288
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 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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