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Record W2325786614 · doi:10.1515/jpem.2000.13.5.513

No Evidence for Leptin as an Independent Associate of Blood Pressure in Childhood and Juvenile Obesity

2000· article· en· W2325786614 on OpenAlexfundno aff
Karl Sudi, Siegfried Gallistl, Gudrun Weinhandl, M Troebinger, Marc Cartellieri, Elke Reiterer, Martin Borkenstein

Bibliographic record

VenueJournal of Pediatric Endocrinology and Metabolism · 2000
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsMedicineLeptinBioelectrical impedance analysisInternal medicineBlood pressureEndocrinologyBody mass indexObesityInsulinChildhood obesityOverweight

Abstract

fetched live from OpenAlex

We studied whether leptin is an independent associate of blood pressure in obese children and adolescence. 102 obese children (48 girls, age: 11.6 +/- 2.22 yr; body mass index [BMI]: 27.45 +/- 4.4; blood pressure: 122.5 +/- 11.1/64.7 +/- 10.6 mm Hg and 54 boys, age: 11.5 +/- 2.4 yr; BMI: 27.6 +/- 4.4; blood pressure: 122.5 +/- 13.2/60.9 +/- 8.1 mm Hg [mean +/- SD]) were investigated. Serum leptin and insulin were measured by RIA; glucose was determined enzymatically. Fat mass (FM) was calculated by bioelectrical impedance. Leptin was higher in girls than in boys (p=0.018) but no significant gender differences were found with respect to indices of adiposity and systolic blood pressure (SBP). Children were divided into three groups, according to pubertal stage (Group 1: prepubertal, 32 boys/13 girls; Group 2: pubertal, 17 boys/25 girls; Group 3: late/postpubertal, 5 boys/10 girls). SBP and DBP correlated with body weight in the whole group (r=0.49, p<0.0001, and r=0.27, p=0.004). In Group 1, BMI showed the highest correlation to SBP; in Group 3 no indices of adiposity were related to SBP. In no case was leptin significantly associated with SBP after adjustment for adiposity. In Group 2, glucose was significantly associated with SBP after adjustment for body weight. In Group 3, however, no correlations were found between SBP, DBP and metabolic characteristics, perhaps due to small sample size. Stepwise multiple regression revealed that body weight and glucose contributed to the variation in SBP in the whole group (R2=0.31, p<0.0001). Insulin accounted for almost 8% of the variation in DBP (R2=0.08, p=0.0034). Body weight contributed significantly to SBP in boys (R2=0.39, p<0.0001) and girls (R2=0.24, p< 0.001). The results imply that body weight contributes independently to the variation in blood pressure. Glucose and insulin contribute to mean blood pressure to some extent, but our data do not support the assumption that leptin per se serves as an independent predictor of blood pressure in obese children and adolescents.

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)0.003
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.284
Teacher spread0.262 · 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

Citations6
Published2000
Admission routes1
Has abstractyes

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