Children born extremely preterm (EPT) or very preterm (VPT) are at risk of neurodevelopmental impairment. How the interaction between biological and social risk factors affects cognitive development has not yet been completely understood. The objectives of this study are to analyze and compare the language, memory, and learning outcomes of five-year-old children born EPT (<28 weeks' gestational age) and VPT (28-31 weeks' gestational age) and to determine the risk of having poor outcomes attending to perinatal and maternal characteristics. The analysis included 377 children born VPT (n = 284) and EPT (n = 93) in 2011-2012. Maternal, neonatal, and clinical information was obtained at birth, and maternal education was obtained at five years using a parental questionnaire. At five years, the language, memory, and learning outcomes were assessed with the developmental NEuroPSYchological assessment second edition (NEPSY-II®). Logistic regression models were applied to assess the association of biological and social risk factors with performance below the expected level for the child's age in language, memory, and learning subtests. Lower maternal age and education increased the odds of having language performance below the expected level for the child's age, while lower maternal educational level and gestational age increased the likelihood of having memory performance below the expected level. Children living in the most social disadvantage contexts are at a higher risk of suboptimal cognitive development. Implementing intervention programs in disadvantaged contexts and targeting specific cognitive domains may enable EPT and VPT children to reach and fulfill their potential in society.
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http://dx.doi.org/10.1080/09297049.2022.2138845 | DOI Listing |
Medicine (Baltimore)
January 2025
Department of Medical Imaging, Jincheng People's Hospital, Shanxi, China.
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View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
School of Nursing and Midwifery, University College Cork, Cork, Ireland.
This study aimed to investigate the direct association between domestic violence and the indirect association of exposure through pregnancy, delivery, and neonatal risk factors with severe maternal morbidity (SMM). The target population of this case-control study included all women who gave birth in the hospitals of the Torbat Heidarieh University of Medical Science from June 2018 to May 2020. A total of 123 mothers with SMM according to the World Health Organization criteria were selected as cases, and 127 mothers who did not meet the World Health Organization criteria were included in the control group.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
J Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFAm J Health Promot
January 2025
College of Social Work, University of South Carolina, Columbia, SC, USA.
Purpose: Artificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibility of responses from standard and advanced versions of popular chatbots: ChatGPT-3.5, ChatGPT-4.
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