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Record W6981034825

The Developmental Importance of Napping in Preschool Children

2022· article· en· W6981034825 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEarthquake and Disaster Impact Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNapAnxietyLongitudinal studyScale (ratio)Reliability (semiconductor)Sleep patterns
DOInot available

Abstract

fetched live from OpenAlex

Most children cease napping between 2- and 5-years-old. Little is known about the predictors or outcomes related to this cessation, or the interrelation of different components of nap behavior. Four empirical studies were conducted to investigate the developmental importance of napping among preschool children.\nStudies 1 and 2 used a large, longitudinal sample of Canadian children to investigate the predictors (Study 1) and outcomes (Study 2) related to early nap cessation. Early nap cessation was defined as stopping daytime sleep before three years old. In Study 1, parents reported on their own, child, and family functioning at two timepoints (0-1 years-old and 2-3 years-old). At 2-3 years-old, ~11% of children had ceased napping. Early nap cessation was predicted by demographic (e.g., female sex), perinatal (e.g., birthweight ≥ 2500 grams), developmental (e.g., more developmental milestones achieved), and sleep-related (i.e., longer nighttime sleep duration) variables. Study 2 presented the evaluation of behavioral and language outcomes related to early nap cessation. After controlling for the predictors identified in Study 1, and other demographic predictors of these outcomes (e.g., income, parental education), early nap cessation predicted higher receptive language and lower anxiety at 4-to-5-years-old.\nStudies 3 and 4 used representative cross-sectional samples. Study 3 presented the development and psychometric properties of two scales of parents’ nap beliefs – The Parents’ Nap Beliefs Scale and the Reasons Children Nap Scale. In independent pilot (N = 201) and replication samples (N = 702) these scales demonstrated excellent reliability and validity. Study 4 presented an empirical approach to classifying nap behavior (i.e., Latent Profile Analyses) and a prediction of nap behavior using parental beliefs and previously established correlates of nap behavior. Nap behavior was associated with parental beliefs, parents’ own nap behaviors, family functioning, and child nighttime sleep problems.\nNap cessation appears to be a developmentally normative process for Canadian preschool children. This process is complex and marked by high intra- and inter-child variability. This complexity is best understood using a socioecological approach which accounts for developmental, demographic, child-parent, and child-environmental factors. Key future directions include replicating these results in non-North American countries and implementing more longitudinal studies.

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 score0.593
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.325
Teacher spread0.246 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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