Purpose: This study focuses on 7- to 9-year-old children attending primary school in Swedish areas of low socioeconomic status, where most children's school language is their second language. The aim was to better understand what factors influence these children's narrative listening comprehension both in an ideal listening condition (in quiet) and for the primary school classroom, a typical listening condition (with multitalker babble noise).
Method: A total of 86 typically developing 7- to 9-year-olds performed a narrative listening comprehension test (Lyssna, Förstå och Minnas [LFM]; English translation: Listen, Comprehend, and Remember) in two listening conditions: quiet and multitalker babble noise. They also performed the crosslinguistic nonword repetition test and a digit span backwards (DSB) test. A predictive statistical model including these factors, the children's degree of school language exposure, parental education level, and age was derived.
Results: Listening condition had the strongest predictive value for LFM performance, followed by school language exposure and nonword repetition accuracy. Parental education level was also a significant predictor. There was a significant three-way interaction effect between listening condition, age, and DSB performance.
Conclusions: Multitalker babble noise has a negative effect on children's narrative listening comprehension. The effect of multitalker babble noise could be explained by age differences in the ability to allocate working memory capacity during the narrative listening comprehension task, suggesting that younger children may be more vulnerable for missing information when listening in background noise than their older peers.
Supplemental Material: https://doi.org/10.23641/asha.25209248.
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http://dx.doi.org/10.1044/2023_JSLHR-22-00637 | DOI Listing |
Syst Rev
January 2025
Medical Biology Centre, School of Nursing and Midwifery, Queen's University Belfast, 97 Lisburn Rd, Belfast, United Kingdom.
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J Card Fail
January 2025
Amyloidosis Speakers Bureau/Mackenzie's Mission. Electronic address:
Background: Amyloidosis is a complex multi-systemic disease. Lack of knowledge about amyloidosis and subsequent mis- or under-diagnosis are major obstacles to treatment, which result in life-threatening organ damage, heart failure, morbidity, and mortality. At present, medical didactic education about amyloidosis leaves new physicians woefully unprepared to suspect and diagnose amyloidosis.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Department of Nursing, University of Huelva, 21071 Huelva, Spain.
Background/objectives: Student distress is diverse and manifests itself in a variety of ways. Driven by the constant pressure to meet academic and personal expectations, many students experience a deep sense of insufficiency and hopelessness. Anxiety and depression are widespread and are often accompanied by self-critical thoughts and feelings of worthlessness.
View Article and Find Full Text PDFUnlabelled: Social cognition spans from perceiving agents and their interactions to making inferences based on theory of mind (ToM). Despite their frequent co-occurrence in real life, the commonality and distinction between social interaction perception and ToM at behavioral and neural levels remain unclear. Here, participants ( = 231) provided moment-by-moment ratings of four text and four audio narratives on social interactions and ToM engagement.
View Article and Find Full Text PDFJ Yeungnam Med Sci
December 2024
Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea.
The coronavirus disease 2019 pandemic has underscored the limitations of traditional diagnostic methods, particularly in ensuring the safety of healthcare workers and patients during infectious outbreaks. Smartphone-based digital stethoscopes enhanced with artificial intelligence (AI) have emerged as potential tools for addressing these challenges by enabling remote, efficient, and accessible auscultation. Despite advancements, most existing systems depend on additional hardware and external processing, increasing costs and complicating deployment.
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