Research examining the development of behavior, emotions and language, and their intertwining is limited as only few studies had a longitudinal design, mostly with a short follow-up period. Moreover, most studies did not evaluate whether internalizing symptoms and externalizing symptoms are independently associated with language ability. This study examines bidirectional associations between internalizing symptoms, externalizing symptoms and language ability in childhood in a large, population-based cohort. Longitudinal data from the Millennium Cohort Study, a cohort of children in the United Kingdom followed from birth to 11 years (n = 10,878; 50.7% boys), were analyzed. Internalizing and externalizing symptoms were based on parent reports. Language ability (higher scores reflecting poorer ability) was assessed by trained interviewers at ages 3, 5, 7 and 11 years. Structural Equation Models (SEM) were performed, including random-intercept cross-lagged panel models (RI-CLPM) and cross-lagged panel models (CLPM). Internalizing symptoms, externalizing symptoms and language ability were stable over time and co-occur with each other from early life onwards. Over time, externalizing symptoms in early childhood were associated with less growth in language skills and with increases in internalizing symptoms. In late childhood, language ability was negatively associated with later internalizing and externalizing symptoms. The early start, co-occurrence and persistent nature of internalizing symptoms, externalizing symptoms and (poorer) language ability highlights the importance of comprehensive assessments in young children who present problems in one of these domains. Specifically, among children in the early grades of elementary school, those with language difficulties may benefit from careful monitoring as they are more likely to develop difficulties in behavior and emotions.
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http://dx.doi.org/10.1007/s00787-023-02192-x | DOI Listing |
Purpose: Effective diversity, equity, and inclusion (DEI) education is imperative to combat bias across health care organizations. The authors evaluated the effectiveness of interprofessional, simulation-based DEI training in improving clinicians' awareness, attitudes, and abilities regarding bias, racism, inclusion, microaggressions, and equity in the workforce.
Method: From October 2021 to June 2022, interprofessional clinicians at Children's National Hospital in Washington, DC, completed the Interprofessional Debrief on Racism, Equity, and Microaggressions (I-DREAM) training.
Ann Rheum Dis
January 2025
Masters and Doctoral Programs in Physical Therapy, Universidade Cidade de Sao Paulo, Sao Paulo, Brazil; Discipline of Physiotherapy, Graduate School of Health, Faculty of Health, University of Technology, Sydney, New South Wales, Australia.
Objectives: The aim of this study was to assess the accuracy and readability of the answers generated by large language model (LLM)-chatbots to common patient questions about low back pain (LBP).
Methods: This cross-sectional study analysed responses to 30 LBP-related questions, covering self-management, risk factors and treatment. The questions were developed by experienced clinicians and researchers and were piloted with a group of consumer representatives with lived experience of LBP.
Radiology
January 2025
From the Departments of Biomedical Systems Informatics (S.K., Jaewoong Kim, C.H., D.Y.) and Neurology (Joonho Kim, J.Y.), Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea; Department of Radiology, Central Draft Physical Examination Office of Military Manpower Administration, Daegu, Republic of Korea (D.K.); Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science (H.J.S. Y.K., S.J.), and Center for Digital Health (H.J.S., D.Y.), Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea; Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea (S.H.L.); Departments of Radiology (M.H.) and Neurology (S.J.L.), Ajou University Hospital, Ajou University School of Medicine, Suwon, Republic of Korea; and Institute for Innovation in Digital Healthcare, Severance Hospital, Seoul, Republic of Korea (D.Y.).
Background The increasing workload of radiologists can lead to burnout and errors in radiology reports. Large language models, such as OpenAI's GPT-4, hold promise as error revision tools for radiology. Purpose To test the feasibility of GPT-4 use by determining its error detection, reasoning, and revision performance on head CT reports with varying error types and to validate its clinical utility by comparison with human readers.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Consiglio Nazionale delle Ricerche, Via G. Amendola, 122/d, Bari 70126, Italy.
The drug discovery process can be significantly accelerated by using deep learning methods to suggest molecules with druglike features and, more importantly, that are good candidates to bind specific proteins of interest. We present a novel deep learning generative model, Prot2Drug, that learns to generate ligands binding specific targets leveraging (i) the information carried by a pretrained protein language model and (ii) the ability of transformers to capitalize the knowledge gathered from thousands of protein-ligand interactions. The embedding unveils the receipt to follow for designing molecules binding a given protein, and Prot2Drug translates such instructions by using the syntax of the molecular language generating novel compounds which are predicted to have favorable physicochemical properties and high affinity toward specific targets.
View Article and Find Full Text PDFCogn Process
January 2025
Institute of Cognitive Sciences and Technologies (ISTC-CNR), Via Nomentana 56, 00161, Rome, Italy.
Face masks can impact processing a narrative in sign language, affecting several metacognitive dimensions of understanding (i.e., perceived effort, confidence and feeling of understanding).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!