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Record W1587987715 · doi:10.5014/ajot.2015.015891

Sensory Processing and Sleep in Typically Developing Infants and Toddlers

2015· article· en· W1587987715 on OpenAlexaff
Mark Vasak, James Williamson, Jennifer Garden, Jill G. Zwicker

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2015
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsChild and Family Research InstituteSunny Hill Health Centre for ChildrenCapilano UniversityUniversity of British Columbia
Fundersnot available
KeywordsSensory processingToddlerSleep (system call)Sensory systemAudiologyOccupational therapyMedicinePsychologyDevelopmental psychologyPhysical therapyCognitive psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the relationship between sensory processing patterns and sleep problems in typically developing infants and toddlers. METHOD: A retrospective chart review of 177 infants and toddlers from a community occupational therapy sleep clinic included descriptive and correlational analyses of data from the Infant/Toddler Sensory Profile and Brief Infant Sleep Questionnaire. RESULTS: More than half of participants (55%) demonstrated a pattern of increased sensory processing in one or more quadrants, with sensitivity being most common (36%). We found small but significant correlations between increased seeking and shorter daytime sleep duration (r=-.24, p=.002) and between increased sensitivity and longer time to settle to sleep (r=.27, p<.001). CONCLUSION: This study adds to recent literature linking sensory processing patterns to sleep problems and is the first to demonstrate this relationship in young, typically developing children. Results support the role of occupational therapy in addressing sleep difficulties in children.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.267

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.071
GPT teacher head0.374
Teacher spread0.303 · 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 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

Citations49
Published2015
Admission routes1
Has abstractyes

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