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Record W2121029170 · doi:10.1111/ijpo.12043

Daytime sleep duration and the development of childhood overweight: the <scp>KOALA B</scp>irth <scp>C</scp>ohort <scp>S</scp>tudy

2015· article· en· W2121029170 on OpenAlexfundno aff
Renee Bolijn, Jessica S. Gubbels, Ester F. C. Sleddens, Stef Kremers, Carel Thijs

Bibliographic record

VenuePediatric Obesity · 2015
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
FundersPhoenix FoundationUniversiteit MaastrichtZonMwTriodos Foundation
KeywordsOverweightMedicineBody mass indexDaytimeSleep (system call)Risk factorLogistic regressionObesityDemographyInternal medicine

Abstract

fetched live from OpenAlex

Reduced nighttime sleep is a risk factor for childhood overweight, but the association between daytime sleep and overweight is unknown. The aim of this study is to evaluate daytime sleep duration as an independent risk factor for childhood overweight. Data from the KOALA Birth Cohort Study on daytime and nighttime sleep at 2 years (N = 2322), and body mass index (BMI) around 2, 5, 6, 7, 8 and 9 years were used. Multivariable general estimating equation regression analyses were performed to examine the associations of sleep duration with BMI (linear) and overweight (logistic). No associations between daytime sleep and BMI or overweight were found, whereas longer nighttime sleep was associated with lower BMI and lower risk of overweight persisting up to age 9. Daytime sleep duration is probably less relevant for prevention of childhood overweight.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.010
GPT teacher head0.233
Teacher spread0.223 · 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 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

Citations16
Published2015
Admission routes1
Has abstractyes

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