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Age-Specific Lipid and Lipoprotein Thresholds for Adolescents

2008· article· en· W2334762796 on OpenAlexaff
Courtney J. Jolliffe, Ian Janssen

Bibliographic record

VenueThe Journal of Cardiovascular Nursing · 2008
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsQueen's UniversityCanadian Institutes of Health Research
Fundersnot available
KeywordsDyslipidemiaMedicineLipoproteinLipid profileCardiovascular healthYoung adultNational Cholesterol Education ProgramCholesterolEndocrinologyInternal medicineObesityDiseaseMetabolic syndrome

Abstract

fetched live from OpenAlex

Plasma lipid and lipoprotein values that are relatively stable in adulthood undergo continuous changes during the developmental years, with most of these changes reflecting natural fluctuations that occur with growth and maturation. Therefore, a clinical classification system appropriate for youth should not consist of uniform lipoprotein thresholds that can be used at all ages to define healthy and increased risk values. This is, however, the approach used in the National Cholesterol Education Program pediatric guidelines. A recent study created the first age-specific lipid and lipoprotein thresholds for adolescents based on a large representative sample of American adolescents aged 12 to 19 years. The adolescent thresholds were linked to the health-based thresholds used in adults using growth curve modeling. Although studies are needed to validate the newly defined adolescent lipid and lipoprotein thresholds, this classification system should provide a more accurate diagnosis of dyslipidemia and associated cardiovascular health risks in 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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.986
Threshold uncertainty score0.752

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
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 head0.031
GPT teacher head0.252
Teacher spread0.220 · 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 designOther design
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

Citations5
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Cardiovascular NursingSame topicDiabetes, Cardiovascular Risks, and LipoproteinsFrench-language works237,207