Most internationally adopted children learn their new language rapidly after adoption. What is not known is whether these gains continue at the same developmental pace throughout the preschool years. To answer this question, the continued language development of the 10 lowest performers from a cohort of 55 preschool-aged children adopted from China was examined. All 55 children had originally been assessed approximately 2 years earlier as preschoolers. The purpose was to examine whether continued English language exposure resulted in greater gain scores on a battery of standardized speech-language tests normed on monolingual English speakers. The 10 lowest performers were retested on the same battery approximately 2 years later. Scores on the second testing were examined in two ways. First, the amount of gain made from first to second testing for each child was examined, and second, the low performers were compared with adopted children from the original cohort who were matched for age and duration of time in the United States. It was found that more than half of the low-scoring children made clinically significant gains on the second assessment, but that low performers as a group scored below the level of matched peers in the cohort, even after approximately 2 years of additional English language exposure.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1055/s-2005-864218 | DOI Listing |
PLOS Glob Public Health
January 2025
Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States of America.
The Quality-of-Care Network (QCN), launched by WHO and partners, links global and national actors across several countries to improve maternal and newborn health. We conducted a prospective qualitative study to examine how QCN in Bangladesh, Ethiopia, Malawi and Uganda facilitated learning, sharing, and innovation within and between network countries. We conducted 227 key informant interviews with QCN actors at global, national, and facility levels iteratively in two to four rounds from June 2019 to March 2022.
View Article and Find Full Text PDFHealth Inf Sci Syst
December 2025
Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan.
This study introduces a novel classification method to distinguish children with autism from typically developing children. We recruited 50 school-age children in Taiwan, including 44 boys and 6 girls aged 6 to 12 years, and asked them to draw patterns from a visual-motor integration test to collect data and train deep learning classification models. Ensemble learning was adopted to significantly improve the classification accuracy to 0.
View Article and Find Full Text PDFJ Med Life
December 2024
College of Medicine, Majmaah University, Al Majma'ah, Saudi Arabia.
Breast cancer is the second most common cancer among females worldwide and can often be detected at an early stage through breast self-examination (BSE). However, in many developing countries, most cases are diagnosed at advanced stages. This study aimed to assess the knowledge and practice of BSE among women of reproductive age in Saudi Arabia.
View Article and Find Full Text PDFJ Clin Nurs
January 2025
Department of Child Health and Diseases Nursing, Faculty of Nursing, Selcuk University, Konya, Türkiye.
Aim: The study aims to determine the relationship between e-health literacy level and the care behaviour of neonatal nurses.
Background: E-health literacy is becoming increasingly important, as health-related information can be obtained easily and quickly from electronic sources.
Design: A cross-sectional design was adopted in the survey.
Forensic Sci Int
January 2025
Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
In 2018, after law enforcement announced it had used a technique called forensic investigative genetic genealogy (FIGG) to identify the Golden State Killer, we conducted a U.S. general population survey and found most respondents supported using FIGG to solve violent crimes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!