Objective: To evaluate the cognitive and academic profile of preterm newborns at school age and to determine the factors related to prematurity and sociodemographic profile that influence these results.
Methods: Patients aged 6-14 years old that were assisted in the preterm follow-up clinic were recruited. The cognitive, academic, and neurological capacities were accessed through a detailed evaluation with a child neurologist, a neuropsychologist and a psychopedagogue. Neonatal data were collected from patient records.
Results: 97 children were included and 14 were excluded from the study, resulting in 83 children. Gestational age (GA) was 30±3 weeks and weight at birth was 1138g (605 to 4185g). Poor performance was shown in 38.4% for writing, 57.5% for reading and 42.5% for mathematics. The mean total intelligence quotient (IQ) was 96±14.9 points, and 10.9% were considered altered. Children with unstructured families presented 78.3% of failure in reading tests (p=0.029). The multivariate analysis showed association between GA at birth and classic mini-mental score (p=0.043), total IQ (p=0.047), perceptual organization IQ (p=0.035), and processing speed IQ (p=0.036). There was also association between weight at birth and the classic (p=0.004) and adapted (p=0.007) mini-mental scores; invasive mechanic ventilation duration and classic mini-mental (p=0.049); and lower maternal age and processing speed IQ (p=0.033).
Conclusions: Preterm infants at school age had high frequency of failure in cognitive and academic evaluation tests. Learning difficulties are high among them. Multiple neonatal variables are related with altered cognitive and students development.
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http://dx.doi.org/10.1590/1984-0462/2022/40/2020252 | DOI Listing |
J Youth Adolesc
December 2024
School of Psychology, Shanghai Normal University, Shanghai, China.
Few studies have comprehensively examined the reciprocal relation between specific parenting practices and children's academic performance across parent and child gender. The present study investigated the bidirectional associations between parental warmth/control and children's academic performance using a three-wave longitudinal multi-informant design. A total of 814 families (M = 10.
View Article and Find Full Text PDFSci Rep
December 2024
Brain Dynamics Lab, Interdisciplinary Center of Biomedical and Engineering Research for Health, Universidad de Valparaíso, Valparaíso, Chile.
Multi-state metastability in neuroimaging signals reflects the brain's flexibility to transition between network configurations in response to changing environments or tasks. We modeled these dynamics with a Kuramoto network of 90 nodes oscillating at an intrinsic frequency of 40 Hz, interconnected using human brain structural connectivity strengths and delays. We simulated this model for 30 min to generate multi-state metastability.
View Article and Find Full Text PDFEur J Cell Biol
December 2024
Uehiro Division for Applied Ethics, Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan; Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan; Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto, Japan. Electronic address:
This study aims to provide a comprehensive review of the ethical, legal and social issues in human brain organoid research, with a view to different types of research and applications: in vitro research, transplantation into non-human animals, and biocomputing. Despite the academic and societal attention on the possibility that human brain organoids may be conscious, we have identified diverse issues in human brain organoid research and applications. To guide the complex terrain of human brain organoid research and applications, a multidisciplinary approach that integrates ethical, legal, and social perspectives is essential.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Imperial College Business School, Imperial College London, London, United Kingdom.
Background: In recent years, the adoption of large language model (LLM) applications, such as ChatGPT, has seen a significant surge, particularly among students. These artificial intelligence-driven tools offer unprecedented access to information and conversational assistance, which is reshaping the way students engage with academic content and manage the learning process. Despite the growing prevalence of LLMs and reliance on these technologies, there remains a notable gap in qualitative in-depth research examining the emotional and psychological effects of LLMs on users' mental well-being.
View Article and Find Full Text PDFJ Intell
December 2024
Department of Development and Educational Psychology, Faculty of Psychology, University of Vienna, 1010 Vienna, Austria.
After almost a century of global generational IQ test score gains, the Flynn effect has, in the past decades, been observed to show stagnation and reversals in several countries. Tentative evidence from academic achievement data has suggested that these trajectory changes may be rooted in a decreasing strength of the positive manifold of intelligence due to increasing ability differentiation and specialization in the general population. Here, we provide direct evidence for generational IQ test score and positive manifold strength changes based on IQ test standardization data from 1392 Austrian residents between 2005 and 2018.
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