Este estudio analizó la relación entre conducta prosocial y metas académicas en una muestra de 2.022 estudiantes españoles. La conducta prosocial fue medida con la escala de Conducta Prosocial del Teenage Inventory of Social Skills (TISS) y las metas académicas mediante el Achievement Goal Tendencies Questionnaire (AGTQ). Los resultados revelaron que los estudiantes con alta conducta prosocial presentaron puntuaciones significativamente más altas en metas de aprendizaje y logro. La conducta prosocial fue un predictor positivo y estadísticamente significativo de metas de aprendizaje y logro. Además, las metas de aprendizaje y logro fueron predictores positivos y estadísticamente significativos de la conducta prosocial, mientas que las metas de refuerzo social fueron un predictor negativo y estadísticamente significativo de la conducta prosocial.

Este estudio analizó la relación entre conducta prosocial y las estrategias de aprendizaje en una muestra de 2022 estudiantes españoles (51.1% varones) de Educación Secundaria Obligatoria (ESO). La conducta prosocial fue medida con la escala de Conducta Prosocial del Teenage Inventory of Social Skills (TISS) y las estrategias de aprendizaje fueron medidas con el Learning and Study Strategies Inventory-High School (LASSI-HS). Los análisis de regresión logística revelaron que la conducta prosocial es un predictor positivo y estadísticamente significativo de puntuaciones altas en las siguientes estrategias y habilidades de estudio: actitud hacia el éxito académico, motivación, procesamiento de la información, selección de ideas principales, ayudas al estudio, autoevaluación y estrategias de evaluación. Además, la conducta prosocial fue un predictor negativo y estadísticamente significativo de puntuaciones altas en ansiedad. Estos resultados fueron encontrados en varones, mujeres y en estudiantes de todos los cursos de ESO. Sin embargo, la conducta prosocial sólo fue un predictor positivo y estadísticamente significativo de altas puntuaciones en control del tiempo (en las muestras de 2o y 4o de ESO) y en concentración (en las muestras de chicos y 4o de ESO).

Summary In recent years, there has been an increase in studies on the implications of gut microbiota (GM) on the behaviour of children with autism spectrum disorders (ASD) due to a dysbiosis in GM that can trigger onset, development or progression of ASD through the microbiota–gut–brain axis. The aim of this study is to carry out a systematic review of articles from the last 6 years that analyse GM in children with ASD compared to GM in control groups. Children with ASD showed a higher abundance of Roseburia and Candida genera, and lower abundance of Dialister, Bilophila, Veillonella, Streptococcus, Coprococcus and Prevotella genera. Those differences can be attributed to factors such as different nationalities, nature of control groups, place where the sample was taken, gastrointestinal (GI) problems or bacterial detection methods. It is still too early to define a specific GM profile of children with ASD, and future studies should focus on homogenizing the characteristics of samples and control groups. Furthermore, new multicentre studies should also focus on the impact of GM on GI physiology, neurophysiology and behaviour of children with ASD, and on performing psychometric analyses of the correlation between the severity of ASD behavioural symptoms and GM profiles.

Previous studies have reported dysbiosis in the gut microbiota (GM) of children with autism spectrum disorders (ASD), which may be a determining factor on child development through the microbiota-gut-brain axis. However, it is not clear if there is a specific group of dysbiotic bacteria in ASD. The aim of this study was to carry out a meta-analysis on the studies that analyze GM in children with ASD. 18 studies fulfilled our selection criteria. Our results showed a lower relative abundance of Streptococcus (SMD+ = -0.999; 95%CI: -1.549, -0.449) and Bifidobacterium genera (SMD+ = -0.513; 95%CI: -0.953, -0.073) in children with ASD. Overall, the Bifidobacterium genera is involved. However, differences found between studies are attributed to factors such as reporting bias.

Background and objectives: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impaired communication, social interaction disorder, and repetitive behavior. Dysbiotic gut microbiota (GM) could be a contributing factor to the appearance of ASD, as gastrointestinal (GI) symptoms are comorbidities frequently reported in ASD. As there is a lack of reviews about the role played by GM in the GI symptoms of ASD, this work aimed to carry out a systematic review of current studies comparing the GM of children with ASD and GI symptoms with those of healthy controls in the last six years. Materials and Methods: The systematic review was performed following the PRISMA guidelines. The databases chosen were Web of Science, Scopus, PubMed, and PsycINFO, and the keywords were (gut* OR intestine* OR bowel* OR gastrointestinal*) AND (microbiota* OR microflora* OR bacteria* OR microbiome* OR flora* OR bacterial* OR bacteria* OR microorganism* OR feces* OR stool*) AND (autistic* OR autism* OR ASD*). Results: A total of 16 articles were included. Ten articles performed correlations analysis between GI symptoms and ASD. Among those 10 articles, 7 found differences between the GI symptoms present in children with ASD and healthy controls. The most common GI symptom was constipation. Among the seven articles that found differences, three performed correlations analysis between GI symptoms and gut microbe abundance. Candida, Prevotella, Streptococcus, and Veillonella showed higher and lower abundance, respectively, in children with ASD and GI symptoms in more than one article. Bacteroidetes, Firmicutes, Actinomyces, Dorea, Lactobacillus, Faecalibacterium prausnitzii, and Bacteroidetes/Firmicutes ratios showed abundance discrepancies. Conclusions: It is still too early to draw a conclusion about the gut microbes involved in GI symptoms of ASD. Future research should consider the relationship between ASD behavior, GM, and GI symptoms in a multidisciplinary way and homogenize sample characteristics.