Résumé
OBJECTIVES@#To investigate the efficacy and required indicators of Children Neuropsychological and Behavioral Scale-Revision 2016 (CNBS-R2016) in the differential diagnosis of autism spectrum disorder (ASD) and global developmental delay (GDD).@*METHODS@#A total of 277 children with ASD and 415 children with GDD, aged 18-48 months, were enrolled as subjects. CNBS-R2016 was used to assess the developmental levels of six domains, i.e., gross motor, fine motor, adaptive ability, language, social behavior, and warning behavior, and a total of 13 indicators on intelligence age and developmental quotient (DQ) were obtained as the input features. Five commonly used machine learning classifiers were used for training to calculate the classification accuracy, sensitivity, and specificity of each classifier.@*RESULTS@#DQ of warning behavior was selected as the first feature in all five classifiers, and the use of this indicator alone had a classification accuracy of 78.90%. When the DQ of warning behavior was used in combination with the intelligence age of warning behavior, gross motor, and language, it had the highest classification accuracy of 86.71%.@*CONCLUSIONS@#Machine learning combined with CNBS-R2016 can effectively distinguish children with ASD from those with GDD. The DQ of warning behavior plays an important role in machine learning, and its combination with other features can improve classification accuracy, providing a basis for the efficient and accurate differential diagnosis of ASD and GDD in clinical practice.
Sujets)
Enfant , Humains , Trouble du spectre autistique/psychologie , Diagnostic différentiel , Apprentissage machine , Comportement socialRésumé
Objective To revise rumination on sadness scale (RSS) and evaluate the reliability and validity of the Chinese version rumination on sadness scale (RSS-C) in Chinese undergraduates.Methods A total of 1 166 undergraduates from 4 universities in Hunan province completed RSS,ruminative response scale (RRS) and Beck depression inventory-Ⅱ (BDI-Ⅱ).The test-retest was conducted in 111 participants 2 weeks later.Results Item analysis and exploratory factor analysis showed the RSS-C included 11 items,consisting of causal analysis,understanding oneself and one's sadness and uncontrollability of ruminative thinking factors.The scores of each item in the high score group were significantly higher than those in the low group(P＜0.001),and the correlation between each item and the total score was significant(r=0.594-0.719,P＜0.001).The confirmatory factor analysis indicated good fit(x2/df=3.938,GFI =0.957,NFI =0.940,CFI =0.954,TLI =0.930,IFI =0.954,RMSEA =0.070).The internal consistency for RSS-C and three factors ranged from 0.694 to 0.868,and the test-retest reliability ranged from 0.620 to 0.833.The scores on RSS-C and three factors were significantly associated with RRS(r=0.555-0.637,P＜0.01),BDI-Ⅱ (r=0.211-0.403,P＜0.01) respectively.Conclusion RSS-C has good reliability and validity and can be used as an effective instrument to assess rumination on sadness in Chinese undergraduates.
Résumé
O objetivo do presente estudo foi revisar uma escala para avaliar atitudes de estudantes de medicina, verificando evidências de validade de construto e consistência interna. A escala original com 102 itens foi administrada em amostra de 310 estudantes de diferentes fases do curso de medicina, com idades entre 18 e 47 anos (M=23,2 e DP=3,6), sendo 54,2% do sexo feminino. Para investigar a estrutura do instrumento, foi realizada análise de componentes principais com rotação Promax. O número de componentes extraídos foi definido por análise paralela. A solução final com seis componentes principais explicou 39,2% da variância total. Os índices de consistência interna (alfa de Cronbach) dos seis componentes variaram entre 0,65 e 0,87. A escala revisada de 50 itens apresenta evidências satisfatórias de validade de construto e de consistência interna na amostra pesquisada...
The objective of the present study was to revise a scale to measure attitudes of medical students and to verify internal consistency and construct validity evidence of the revised scale. The original scale, consisting of 102 items, was administered to a sample of 310 students in different phases of medical school with ages varying between 18 and 47 years (M=23.2 and DP=3.6), 54.2% being female. To investigate the internal structure of the instrument, Principal Component Analysis (PCA) with Promax rotation was performed. Parallel Analysis was used to define the number of components to extract. The final solution of six principal components explained 39.2% of the total variance. The internal consistency indices (Cronbachs Alpha) of the six components varied between 0.65 and 0.87. The revised scale, consisting of 50 items, presents satisfactory internal consistency and construct validity evidence in the studied sample...
El objetivo del presente estudio fue revisar una escala para medir actitudes de estudiantes de medicina y verificar evidencias de validez de constructo y consistencia interna en la escala revisada. La escala original, compuesta por 102 ítems, fue aplicada a una muestra de 310 estudiantes de diferentes semestres del curso de medicina, con edades de entre 18 y 47 años (M=23,2 e DP=3,6), siendo el 54,2% de sexo femenino. A fin de investigar la estructura del instrumento, fue realizado el procedimiento de Análisis de Componentes Principales con rotación Promax. El número de componentes extraído fue definido mediante Análisis Paralelo. La solución final con seis componentes principales explicó 39,2% de la variancia total. Los índices de consistencia interna (Alfa de Cronbach) de los componentes variaron entre 0,65 y 0,87. A escala revisada, compuesta por 50 ítems, presenta evidencias satisfactorias de validez de constructo y de consistencia interna en la muestra investigada...