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Record W2163559363 · doi:10.1139/h06-094

Metabolic syndrome in youth: current issues and challenges

2007· review· en· W2163559363 on OpenAlexaffvenue
Terry T.‐K. Huang, Geoff D.C. Ball, Paul W. Franks

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2007
Typereview
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsCurrent (fluid)Metabolic syndromeMedicineIntensive care medicineInternal medicineEngineeringElectrical engineeringObesity

Abstract

fetched live from OpenAlex

The current paper reviews the important issues and challenges facing children and adolescents with the metabolic syndrome (MetS). Studies suggest that the MetS and its risk components may be on the rise in children along with rising rates of obesity; however, further study remains warranted. The topics reviewed encompass the definition of the syndrome, its prevalence, clustering and tracking of metabolic risk factors, the role of physical activity and diet in the development of the MetS, criticisms and utility of the MetS definition, and special considerations needed in the pediatric population. Physical activity and diet may play important roles in the MetS; however, research with precise measurements of activity, diet, and metabolic outcomes is needed. The paper concludes by emphasizing that regardless of one's position in the ongoing debate about the MetS, the long-term risks attributable to each individual risk component are real. The abnormality of one component should automatically prompt the screening of other components. Among children and adolescents, lifestyle modification should always serve as the frontline strategy. Prevention during childhood is key to the largest possible impact on adult health at the population level.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.072
GPT teacher head0.325
Teacher spread0.252 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations87
Published2007
Admission routes2
Has abstractyes

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