Aim: There is little data on whether or not a bilingual upbringing may aggravate specific language problems in children. This study analysed whether there was an interaction of such problems and simultaneous bilingualism.
Methods: Participants were 5- to 7-year-old children with specific language problems (LANG group, N = 56) or who were typically developing (CONTR group, N = 60). Seventy-three children were Swedish-Finnish bilingual and 43 were Swedish-speaking monolingual. Assessments (in Swedish) included tests of expressive language, comprehension, repetition and verbal memory.
Results: Per definition, the LANG group had lower scores than the CONTR group on all language tests. The bilingual group had lower scores than the monolingual group only on a test of body part naming. Importantly, the interaction of group (LANG or CONTR) and bilingualism was not significant on any of the language scores.
Conclusions: Simultaneous bilingualism does not aggravate specific language problems but may result in a slower development of vocabulary both in children with and without specific language problems. Considering also advantages, a bilingual upbringing is an option also for children with specific language problems. In assessment, tests of vocabulary may be sensitive to bilingualism, instead tests assessing comprehension, syntax and nonword repetition may provide less biased methods.
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http://dx.doi.org/10.1111/j.1651-2227.2012.02733.x | DOI Listing |
Disabil Rehabil
December 2024
Margalla Institute of Health Sciences, Rawalpindi, Pakistan.
Purpose: To linguistically and cross-culturally translate Hip Disability and Osteoarthritis Outcome Score into Urdu language (HOOS-U), and test its psychometric properties among patients with hip pain.
Materials And Methods: Translation and cross-cultural adaptation of English version of HOOS were carried out following international guidelines. Psychometric testing included reliability (internal consistency and test-retest reliability), validity (content and construct validity) and responsiveness.
BMC Public Health
December 2024
Research Division, Institute of Mental Health, 10 Buangkok View, Buangkok Green, Medical Park, Singapore, 7539747, Singapore.
Background: Globally, the Coronavirus disease 2019 (COVID-19) pandemic had a significant impact on mental health. Sudden lifestyle changes, threatening information received through various sources, fear of infection and other stressors led to sleep disturbances such as insomnia. The current study aimed to assess the prevalence of insomnia and its associated risk factors during the first wave of COVID-19 pandemic among Singapore residents.
View Article and Find Full Text PDFPhys Life Rev
December 2024
Department of Dynamic and Clinical Psychology and Health Studies, Sapienza University of Rome, Rome, Italy; Institute of Cognitive Sciences and Technologies, Italian National Research Council, Rome, Italy. Electronic address:
The paper presents new evidence collected in the last five years supporting the Words As social Tools proposal on abstract concepts. We discuss findings revolving around three central tenets. First, we show that-like concrete concepts-also abstract concepts evoke sensorimotor experiences, even if to a lower extent, and that they are linked to inner experiences (e.
View Article and Find Full Text PDFJ Athl Train
December 2024
Department of Exercise Science, University of South Carolina, Columbia, SC, E-mail:
Context: A patient-centered care (PCC) environment allows athletic trainers (ATs) to develop trusting relationships with patients, enabling them to make the most informed care decisions. To provide PCC, the AT should assess health literacy and deliver quality patient education.
Objective: To explore the lived experiences of ATs from different job settings to identify how they deliver PCC specific to health literacy and patient education.
J Med Internet Res
December 2024
Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.
Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.
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