ABSTRACT
RESUMO Objetivo verificar se o desempenho de pré-escolares nascidos prematuros e a termo no subteste de linguagem da Bayley-III difere e identificar se as variáveis idade gestacional, peso ao nascer, nível socioeconômico e escolaridade materna são determinantes no desfecho de desenvolvimento de linguagem. Método estudo transversal descritivo caso controle em que 36 pré-escolares nascidos prematuros e 27 nascidos a termo foram avaliados em relação ao desenvolvimento de linguagem pelo subteste da Bayley III. Foram considerados pré-escolares entre 18 e 36 meses de idade cronológica; com ausência de síndromes ou alterações genéticas, sensoriais, neurológicas, auditivas ou visuais; e que não tinham realizado terapia fonoaudiológica previamente. Os testes de Mann-Whitney, Exato de Fisher e regressão logística binária foram utilizados para análise estatística. Resultados o desempenho dos grupos não diferiu seja pela pontuação composta (p=0,701) ou pela classificação baseada no percentil (p=0,225). A idade gestacional, o peso ao nascimento e o nível socioeconômico não influenciaram no desfecho do desenvolvimento de linguagem. No entanto, a escolaridade materna foi significativa (p=0,014) no modelo de regressão logística binária, sugerindo que a mãe ter estudado até a educação básica aumenta a chance de ter um filho com desempenho abaixo do esperado no subteste de linguagem da Bayley III em 6,31 vezes. Conclusão não houve diferença entre os grupos no subteste de linguagem da Bayley-III e apenas a escolaridade materna influenciou no desfecho do desenvolvimento de linguagem.
ABSTRACT Purpose to verify if the performance of pre-school children born prematurely and at term in the Bayley-III language subtest differs and to identify whether variables gestational age, birth weight, socioeconomic level, and maternal education are determinant in the outcome of language development. Methods Descriptive cross-sectional case-control study in which 36 pre-school children born prematurely and 27 born at term were evaluated concerning language development by the Bayley III subtest. Preschoolers between 18 and 36 months of chronological age were considered; with no syndromes or genetic, sensory, neurological, auditory, or visual impairments; and had not previously undergone speech therapy. Mann-Whitney, Fisher's Exact, and binary logistic regression tests were used for statistical analysis. Results the groups' performance did not differ either by the composite score (p = .701) or by the classification based on the percentile (p = .225). Gestational age, birth weight, and socioeconomic status did not influence the outcome of language development. However, maternal education was significant (p = .014) in the binary logistic regression model, suggesting that the mother having studied until basic education increases the chance of having a child underperforming in the Bayley III language subtest 6.31 times. Conclusion there was no difference between the groups in the Bayley-III language subtest and only maternal education influenced the outcome of language development.
ABSTRACT
ABSTRACT Purpose: to investigate the use of softwares for emotion recognition in children and teenagers with Autism Spectrum Disorders (ASD). Methods: an integrative review of the literature with scientific papers published from 2012 to 2017 indexed in Periódico Capes, Science Direct, and PudMed; combined descriptors: autism AND emotion AND software; autism AND emotion recognition AND software. Inclusion criterion was the use of software related to emotion recognition in children and teenagers with ASD, up to 18 years old. Review papers and those using robots were excluded. Results: ten international papers were reviewed. The most used emotional expressions were "happiness", "fear", "anger", "disgust", "sadness", and "surprise". Ten software programs were described: Emotion Recognition Task (1), Cambridge Mindreading Face-Voice Battery for Children (3), Mind Reading (2), Mood Maker (1), Virtual-Reality Emotion Sensitivity Test (1), FaceSay (1), Penn Emotion Recognition (1), FaceMaze Game (1), Computer Emotion Recognition Toolbox (CERT) (1), and Emotiplay (1). Conclusion: studies with software programs focused on ASD intervention allow future research efforts in the diagnosis and intervention of this disorder.