Background: The purpose of this study was to examine the relationship between selective visual attention (SVA), reading decoding, listening comprehension and reading comprehension in children with and without a reading disorder.

Methods: We used longitudinal data from the Avon Longitudinal Study of Parents and Children. We split children into four groups: Typical Readers, Dyslexics, Poor Comprehenders and Comorbid Reading Disorder. We included measures of single word reading, nonword reading, spelling, phonological processing, vocabulary, receptive language, nonverbal intelligence, selective attention and reading comprehension. We used analysis of variance, correlations and structural equation modelling to examine the relationship between SVA and reading. We fit two possible models: SVA Indirect and SVA Direct. The difference between these models was the inclusion of a direct path from SVA to reading comprehension.

Results: We examined an indirect model, where SVA predicted reading comprehension through word decoding and listening comprehension, and a direct model, which included a pathway from SVA to reading comprehension. Based on our analysis of variance and correlation results, we collapsed the Dyslexic, Poor Comprehenders and Comorbid Reading Disorder groups for the structural equation modelling. We found evidence that for Typical Readers, an indirect model was the best fit, whereas the direct model was the best model for children with a reading disorder.

Conclusions: Selective visual attention is related to reading comprehension. This relationship differs for children with and without a reading disorder.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090198PMC
http://dx.doi.org/10.1111/1467-9817.12368DOI Listing

Publication Analysis

Top Keywords

reading comprehension
24
reading
17
sva reading
16
selective visual
12
visual attention
12
children reading
12
reading disorder
12
comprehension
8
examine relationship
8
decoding listening
8

Similar Publications

Infertility is increasing globally, affecting one in six adults due to factors like delayed childbearing and lifestyle changes. Despite the recognition of the importance of increasing fertility awareness, levels remain low. This study evaluated the perceptions of 'FActs!', a serious game aimed at improving adolescents' fertility awareness.

View Article and Find Full Text PDF

Integrated science-and-literacy programs have proven to positively affect both language proficiency and science knowledge. Because making connections is important in both text comprehension and understanding the disciplinary core ideas taught in science, it seems worthwhile to explore the potential of integrating text structure instruction in science education. Therefore, we conducted a design-based research (DBR) in collaboration with teachers in the upper levels of primary education in the Netherlands.

View Article and Find Full Text PDF

CardiacField: computational echocardiography for automated heart function estimation using two-dimensional echocardiography probes.

Eur Heart J Digit Health

January 2025

Department of Cardiovascular Surgery of Zhongshan Hospital, Fudan University, Shanghai 200032, China.

Aims: Accurate heart function estimation is vital for detecting and monitoring cardiovascular diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it requires specialized training, is prone to inter-observer variability, and lacks comprehensive three-dimensional (3D) information. We introduce CardiacField, a computational echocardiography system using a 2DE probe for precise, automated left ventricular (LV) and right ventricular (RV) ejection fraction (EF) estimations, which is especially easy to use for non-cardiovascular healthcare practitioners.

View Article and Find Full Text PDF

The engagement of predictive mechanisms during language comprehension can facilitate processing and modulate neural oscillatory activity. These modulations include alpha-band activity decreases prior to expected words, reflecting anticipatory preparation, and frontal theta-band activity following unexpected words, reflecting engagement of cognitive control. It remains unknown how these oscillatory dynamics are impacted by aging.

View Article and Find Full Text PDF

The dataset represents a significant advancement in Bengali lip-reading and visual speech recognition research, poised to drive future applications and technological progress. Despite Bengali's global status as the seventh most spoken language with approximately 265 million speakers, linguistically rich and widely spoken languages like Bengali have been largely overlooked by the research community. fills this gap by offering a pioneering dataset tailored for Bengali lip-reading, comprising visual data from 150 speakers across 54 classes, encompassing Bengali phonemes, alphabets, and symbols.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!