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Desenvolvimento motor e funcional em crianças nascidas pré-termo e a termo: influência de fatores de risco biológico e ambiental

2012· article· pt· W2103445732 on OpenAlexaboutno aff
Edifrance Sá de Souza, Lívia de Castro Magalhães

Bibliographic record

VenueRevista Paulista de Pediatria · 2012
Typearticle
Languagept
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
FundersUniversidade Federal de Minas GeraisConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsMotor skillMedicineMotor activityPsychologyPediatricsDevelopmental psychologyInternal medicine

Abstract

fetched live from OpenAlex

OBJETIVO: Comparar o desenvolvimento motor de crianças de 12 a 18 meses nascidas pré-termo e a termo e investigar sua relação com o desempenho funcional e com a quantidade e qualidade de estímulos ambientais. MÉTODOS: Estudo quantitativo e longitudinal com 30 crianças prematuras (idade gestacional de 30,0±2,3 semanas e peso ao nascimento de 1178±193g) e 30 nascidas a termo (idade gestacional de 39,0±1,3 semanas e peso ao nascimento de 3270±400g). O desenvolvimento motor foi avaliado pelos testes Alberta Infant Motor Scale e Peabody Developmental Motor Scales. O ambiente domiciliar foi avaliado com o Home Observation Measurement of the Environment. Com o intuito de examinar as habilidades funcionais, utilizou-se o Pediatric Evaluation of Disability Inventory. RESULTADOS: Houve maior lentidão para aquisição da marcha no grupo pré-termo (p=0,005), embora não tenha sido encontrada diferença significativa entre os grupos no Alberta Infant Motor Scale aos 12 (p=0,19) e aos 15 meses (p=0,80). Aos 18 meses foram encontradas diferenças significativas no desenvolvimento motor grosso (p<0,001) e fino (p=0,001) e nas habilidades funcionais, com vantagem para o grupo a termo. Houve diferença significativa entre os grupos quando avaliados pelo inventário Home Observation Measurement of the Environment (p=0,008). CONCLUSÕES: Houve aumento da diferença entre os grupos no desempenho motor dos 12 aos 18 meses, sendo que fatores ambientais podem ter potencializado os efeitos do risco biológico. Programas de acompanhamento do desenvolvimento devem enfocar aspectos do ambiente onde a criança vive.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.282
Teacher spread0.264 · 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

Citations19
Published2012
Admission routes1
Has abstractyes

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