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Record W2317071380 · doi:10.4181/rnc.2014.22.914.8p

Influência do Ambiente Domiciliar no Desenvolvimento Motor de Lactentes Nascidos Pré-Termo

2014· article· pt· W2317071380 on OpenAlexaboutno aff
Elaine Alegre Bueno, Antônio Adolfo Mattos de Castro, Eloá Maria dos Santos Chiquetti

Bibliographic record

VenueRevista Neurociências · 2014
Typearticle
Languagept
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsMotor skillMotor activityInfant developmentMedicineChild developmentEnvironmental healthPsychologyPediatricsDevelopmental psychologyInternal medicine

Abstract

fetched live from OpenAlex

A prematuridade é apontada como fator de risco biológico para o de­senvolvimento típico motor. Sendo o desenvolvimento motor, multi­fatorial, crianças prematuras são mais vulneráveis a atrasos e sequelas no processo de desenvolvimento devido à imaturidade dos órgãos e sistemas ao nascimento, necessitando atenção especial. Objetivo. Ve­rificar a influência do ambiente domiciliar no desenvolvimento mo­tor de lactentes nascidos pré-termo. Método. Trata-se de um estudo descritivo com abordagem analítica e quantitativa, realizado com 21 lactentes pré-termos. Para avaliar o desenvolvimento motor foi utiliza­da a escala Alberta Infant Motor Scale (AIMS), para as oportunidades ambientais a AHEMD-IS Affordances in the Home Environment for Motor Development Infant-Scale. Resultados. Mostraram que 61,9% dos lactentes apresentaram desenvolvimento motor alterado (suspeita de atraso e atraso). A comparação entre as variáveis AIMS e AHEMD­-IS (escore total e dimensões) apresentou diferença estatisticamente significante (p=0,02) na dimensão “brinquedos”. Conclusão. As con­dições presentes no ambiente domiciliar da amostra não favorecem o desenvolvimento motor na maioria das residências estudadas. O estudo ratifica a tese de diversos autores de que o desenvolvimento motor é multifatorial, envolvendo características biológicas, fatores psicológicos, sociais e ambientais. Paralelamente aos fatores de risco biológicos, as desvantagens ambientais podem influenciar negativa­mente a evolução do desenvolvimento das crianças.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.012
GPT teacher head0.250
Teacher spread0.238 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations12
Published2014
Admission routes1
Has abstractyes

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