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Mexican-origin adolescents, a significant portion of the US Latino population, often experience a decline in educational expectations from early to late adolescence. Contextual factors such as academic discrimination and language brokering for parents may contribute to this decline. This study investigates the indirect effect of academic discrimination experienced in middle school on educational expectations in young adulthood through high school grades and engagement, and the moderating role of language brokering experiences in these relations. Data were collected from 604 Mexican-origin adolescents across four waves from 2012 to 2023. Academic discrimination experiences in middle school were negatively associated with school grades in high school, which in turn were associated with lower educational expectations in young adulthood. A positive relationship with parents tied to language brokering functioned as a buffer, while stress from language brokering with parents exacerbated the association between academic discrimination and high school grades. The findings highlight the need to reduce academic discrimination experiences early in adolescence to prevent its long-term cascading adverse educational outcomes. Language brokering experiences offer new insights into how experiences in the family context converge with academic discrimination to have a lasting influence on academic outcomes in Mexican immigrant households.
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http://dx.doi.org/10.1002/jcop.70033 | DOI Listing |
Diagn Progn Res
September 2025
Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Background: Hospital-acquired venous thromboembolism (HA-VTE) is a leading cause of morbidity and mortality among hospitalized adults. Numerous prognostic models have been developed to identify those patients with elevated risk of HA-VTE. None, however, has met the necessary criteria to guide clinical decision-making.
View Article and Find Full Text PDFLancet Rheumatol
September 2025
Academic Rheumatology, University of Nottingham, Nottingham, UK.
Background: Allopurinol, the most prescribed urate-lowering drug, is a known cause of severe cutaneous adverse reactions. We aimed to develop and validate a model to assess the risk of allopurinol-induced severe cutaneous adverse reactions in adults newly prescribed allopurinol.
Methods: In this retrospective new-user cohort study, we developed and validated a prognostic model using primary care, hospitalisation, and mortality data extracted from the UK Clinical Practice Research Datalink (CPRD) primary care database, for the period Jan 1, 2001, to March 29, 2021.
Med
August 2025
Joint Academic Rheumatology Program, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece; Centre of New Biotechnologies and Precision Medicine (CNBPM), School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece. Electronic address: p
Background: Pathogenic responses against self and foreign antigens in systemic autoimmunity and infection, respectively, engage similar immunologic components, thus lacking distinguishing diagnostic biomarkers. Herein, we tested whether whole-blood transcriptome analysis discriminates autoimmune from infectious diseases.
Methods: We applied nested cross-validation methodology to tune and validate random forests, k-nearest neighbors, and support vector machines, using a new preprocessing method on 22 publicly available datasets, including 594 patients with a broad spectrum of systemic autoimmune diseases and 615 patients with diverse viral, bacterial, and parasitic infections.
Introduction: Sepsis diagnosis remains clinical and heterogeneous. We hypothesized that a proteomics-informed machine-learning approach could identify a small, easy-to-use, and optimized set of clinical variables to complement or potentially outperform SOFA.
Methods: We conducted a prospective, single-center, observational study in an academic intensive care unit.
Front Med (Lausanne)
August 2025
Thayer School of Engineering, Dartmouth College, Hanover, NH, United States.
Background: This study addresses the critical science challenge of operationalizing social determinants of health (SDoH) in clinical practice. We develop and validate models demonstrating how SDoH predicts mammogram screening behavior within a rural population. Our work provides healthcare systems with an evidence-based framework for translating SDoH data into effective interventions.
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