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Record W1601117514 · doi:10.1159/000360248

Adolescent Health and Nutrition in the US and Canada: An Overview of Issues and Determinants

2014· book-chapter· en· W1601117514 on OpenAlexaffabout
Jaime Cidro, Shazeen Suleman, Karen Leslie, Khush Amaria, Brenda Hartman, Gillian Thompson, John F. Freeman, Zia Bismilla, Vicki Bismilla, Eva Moore, Renee Morgan, Zahra Alebraheem, Miriam Kaufman

Bibliographic record

VenueNestlé Nutrition Institute Workshop series · 2014
Typebook-chapter
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsQueen's UniversityBC Children's HospitalUniversity of WinnipegSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsOvernutritionOffspringMalnutritionFetal programmingPregnancyLife expectancyMicronutrientMedicineLow birth weightDeveloping countryGerontologyEnvironmental healthDevelopmental psychologyPediatricsPsychologyPopulationEconomic growthBiology

Abstract

fetched live from OpenAlex

Nutrition of young women and its effect on offspring is an almost neglected topic in developed and developing countries alike. Under- as well as overnutrition of the mother can negatively program the child's health: Maternal undernutrition and micronutrient deficiencies are related to both low birth weight and intrauterine growth retardation. Moreover, they also result in negative epigenetic programming both during conception and in the newborn. Obese mothers, on the other hand, may produce offspring with a lower life expectancy, a fact which could be related to the higher risk of developing metabolic syndrome in adult life. This book provides insights into the influence of maternal health and nutrition on both fetal and postnatal growth and health of the offspring. Contributions focus on future mothers from their adolescence to pregnancy, thus providing valuable information for the clinician involved in the care of adolescents and young women.

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)0.000
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: none
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.066
GPT teacher head0.327
Teacher spread0.261 · 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

Citations3
Published2014
Admission routes2
Has abstractyes

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