Objective: We conducted a meta-analysis and systematic review of literature comparing pre-reading and general reading in school-age children with nonsyndromic cleft palate with or without cleft lip (NSCP/L) to their peers without NSCP/L.
Methods: Our literature search identified 1238 possible records. After screening we identified 11 samples for inclusion for systematic review and eight for meta-analysis. We compared 292 children with NSCP/L to 311 peers for 23 pre-reading effect sizes and 17 general reading effect sizes (EF). We conducted a random-effects metaregression using robust variance estimation.
Results: On average school-age children with NSCP/L scored lower on pre-reading (EF = -0.36) and general reading measures (EF = -0.38) compared to their peers. We conducted post-hoc analyses on phonological awareness and word decoding effect sizes; children with NSCP/L performed lower on phonological awareness (EF = -0.22) and word decoding (EF = -0.39) compared to their peers. There was weak evidence that hearing status and/or speech-language functioning might moderate reading development. There was limited evidence that age or socioeconomic status moderated reading development. However, samples did not consistently report several characteristics that were coded for this project.
Conclusions: Our findings suggest that school-age children with NSCP/L have persistent reading problems. Further research is needed to explore reading development in children with NSCP/L, as well as the relationships among hearing, speech, language, and reading development.
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http://dx.doi.org/10.1177/10556656211039871 | DOI Listing |
Alzheimers Dement
December 2024
University of Reading, Reading, United Kingdom.
Background: Current off-the-shelf technologies contain functionality which can support everyday cognition, such as storing telephone numbers and calendar reminders. These functions can benefit everyone, including people living with dementia. However, knowledge is limited about people living with dementia acquiring and using existing technologies and whether or how they are utilizing these functions.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Kentucky, Lexington, KY, USA.
Background: Emerging research suggests that complementary and supportive care programs, such as music therapy, show positive short-term impacts (e.g., purposeful engagement, positive emotions) on persons with dementia who live in care facilities.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Background: The National Institutes of Health Toolbox for Assessment of Neurological and Behavioral Function (NIHTB) was developed to address the need for a brief yet comprehensive instrument to facilitate more uniform assessment in large-scale research studies. Here, we investigated whether the cognitive measures of the NIHTB detect cognitive decline in biomarker-confirmed Alzheimer's disease (AD).
Method: We used data from N = 178 participants (age 76.
Alzheimers Dement
December 2024
University of Reading, Reading, UK.
Background: Current off-the-shelf technologies contain functionality which can support everyday cognition, such as storing telephone numbers and calendar reminders. These functions can benefit everyone, including people living with dementia. However, knowledge is limited about people living with dementia acquiring and using existing technologies and whether or how they are utilizing these functions.
View Article and Find Full Text PDFNAR Genom Bioinform
March 2025
National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi 110067, India.
Small proteins (≤100 amino acids) play important roles across all life forms, ranging from unicellular bacteria to higher organisms. In this study, we have developed SProtFP which is a machine learning-based method for functional annotation of prokaryotic small proteins into selected functional categories. SProtFP uses independent artificial neural networks (ANNs) trained using a combination of physicochemical descriptors for classifying small proteins into antitoxin type 2, bacteriocin, DNA-binding, metal-binding, ribosomal protein, RNA-binding, type 1 toxin and type 2 toxin proteins.
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