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School diversity has been shown to be associated with students' school experiences. However, most studies have focused solely on student racial/ethnic diversity, in spite of the multifaceted nature of diversity. This study assessed how the combined influence of student and teacher racial/ethnic diversity and socioeconomic diversity were related to race-based victimization, school connectedness, and racial/ethnic disparities of these outcomes. The participants were Asian, Black, Latinx, and White students (n = 100,408; 46.2-53.5% female) in Grade 7 to Grade 12 attending 278 public schools in California. The participating schools' diversity contexts were categorized into four latent profiles differentiated by varying levels of student and teacher racial/ethnic diversity and socioeconomic diversity. Race-based victimization was the least prevalent in schools with low student racial/ethnic diversity, low socioeconomic diversity, and moderate teacher racial/ethnic diversity. The magnitude of racial/ethnic disparities in race-based victimization differed across the four latent profiles; racial/ethnic disparities were minimal when there were similar numbers of students in each racial/ethnic group. School diversity's relation with school connectedness was minimal. White students perceived higher school connectedness than other racial/ethnic groups across profiles, but the White-Latinx gap was smaller in profiles with schools having a homogeneous Latinx student population. The findings underline the importance of understanding school diversity's interaction with students' characteristics, particularly racial/ethnic identity, on students' school experiences.
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http://dx.doi.org/10.1007/s10964-022-01715-0 | DOI Listing |
Breast J
September 2025
University of Hawai'i Cancer Center, Honolulu, Hawaii, USA.
The Oncotype DX test is standardly used for patients with early-stage, hormone-receptor-positive, HER2-negative breast cancers to determine the benefit from chemotherapy and the likelihood of distant recurrence. The relationship between Oncotype DX recurrence scores and race/ethnicity is still being studied. This retrospective study aims to evaluate the relationship between Oncotype DX recurrence scores, race/ethnicity, and clinicopathological factors and to support the applicability of the Oncotype DX test for a diverse breast cancer population of Hawaii.
View Article and Find Full Text PDFInt J Eat Disord
September 2025
Department of General Psychology, University of Padova, Padova, Italy.
Smartphone applications (apps) represent promising tools to overcome common barriers to treatment in individuals within the Eating Disorders (EDs) spectrum, thanks to their constant availability and cost-effectiveness. In this context, Cruz et al. (2025) conducted the first meta-analysis of randomized controlled trials (RCTs) evaluating the efficacy of app-based interventions for EDs.
View Article and Find Full Text PDFAcad Radiol
September 2025
Corewell Health, Department of Diagnostic Radiology and Molecular Imaging, Oakland University William Beaumont School of Medicine, 3601 W 13 Mile Rd, Royal Oak, MI 48073.
Introduction: Diversity in medical subspecialties is critical for improving patient care and fostering innovation. However, Neuroradiology remains one of the least diverse Radiology subspecialties, with persistent gender and racial disparities among trainees. This study examines gender, racial, and ethnic representation trends among Neuroradiology fellows over the past decade.
View Article and Find Full Text PDFAnn Epidemiol
September 2025
Department of Health Promotion Sciences, The University of Arizona.
Purpose: The association between social integration and mortality in older adults from historically excluded groups may not align with the patterns observed in predominately white samples. We modeled latent groups of social integration and their association with 10-year all-cause mortality in a cohort of older adults from historically excluded racial/ethnic groups.
Methods: In a sub-sample of a national cohort study of older adults, we used latent class analysis to model social integration using ten item indicators spanning couple status, network characteristics, and neighborhood and community connections.