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Background: Discrimination increases the risk for adverse mental health in minority populations, with studies showing elevated rates of obsessive-compulsive disorder (OCD) in Black adults facing racial discrimination. Yet, there is a lack of longitudinal research on the different forms of discrimination in relation to OCD risk in early adolescence. The objective of this study was to examine the prospective associations between multiple forms of discrimination and OCD in a national sample of U.S. early adolescents.
Methods: We examined prospective cohort data from Year 2 (2018-2020, ages 10-13) and Year 3 (2019-2021) of the Adolescent Brain Cognitive Development Study (N = 7,983). Multiple logistic regression models were used to analyze associations between Year 2 past 12-month experiences of discrimination (based on race and ethnicity, country of origin, sexual orientation, weight, and combined multi-discrimination) and Year 3 probable OCD (Child Behavior Checklist; based on dichotomized t-score indicating high risk), adjusting for theoretically relevant covariates including age, sex, sexual orientation, race and ethnicity, country of origin, household income, parent education, depression, body mass index category, study site, and Year 2 probable OCD.
Results: Adjusting for all covariates, multi-discrimination (OR = 1.67; 95% CI 1.23, 2.27), racial discrimination (OR = 2.77; 95% CI 1.32, 5.80), sexual orientation discrimination (OR = 2.51; 95% CI 1.11, 5.64), and weight discrimination (OR = 2.51; 95% CI 1.13, 5.59) at Year 2 were prospectively associated with developing probable OCD at Year 3. There were no significant findings for discrimination based on country of origin.
Conclusions: Early adolescents who have experienced several forms of discrimination have higher odds of developing probable OCD, suggesting the utility of screening for OCD in even younger adolescents who have encountered discrimination. Educators can play a role in guiding adolescents experiencing discrimination to appropriate resources for accessing mental healthcare.
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http://dx.doi.org/10.1186/s13034-025-00864-x | DOI Listing |
Diabetes Ther
September 2025
HaaPACS GmbH, Schriesheim, Germany.
Introduction: Weight and diabetes stigma among healthcare professionals (HCPs) may negatively impact treatment decisions, patient outcomes, and physician-patient interactions. We assessed the relationship between weight stigma, diabetes stigma, perceptions of healthcare quality, and avoidance of healthcare among adults with type 2 diabetes (T2D).
Methods: This observational, online survey-based study included 857 US adults with T2D.
Front Immunol
September 2025
Medicine 1 Unit, Ca' Foncello University Hospital, Treviso, Italy.
Background: Anti-integrin αvβ6 IgG autoantibodies showed good sensitivity and optimal specificity in ulcerative colitis (UC) compared to controls. We aim at confirming the diagnostic accuracy of anti-integrin αvβ6 autoantibodies in an Italian multicentric cohort.
Methods: This observational multicentric study included adult and pediatric patients with inflammatory bowel disease and controls.
Anal Biochem
September 2025
Department of Chemistry and Biotechnology, Graduate School of Engineering, Tottori University, 4-101 Koyama-Cho Minami, Tottori, 680-8552, Japan.
The duplex-forming behavior of an inchworm-type PNA-PEG conjugate (i-PPc), engineered for the selective recognition of point mutations in DNA, was assessed through thermodynamic analysis employing UV melting curves and circular dichroism spectroscopy. The i-PPc demonstrated the ability to form stable duplexes exclusively with fully complementary DNA sequences, while no hybridization with single-base mismatched sequences. This binary on/off hybridization behavior was maintained even under physiologically relevant conditions (37 °C), thereby illustrating the exceptional point mutation discrimination capability of i-PPc.
View Article and Find Full Text PDFSchizophr Bull
September 2025
MIT linQ, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Background And Hypothesis: Loose Associations (LA) in speech are key indicators of psychosis risk, notably in schizophrenia. Current detection methods are hampered by subjective evaluation, small samples, and poor generalizability. We hypothesize that combining Large Language Models (LLMs) with machine learning techniques could enhance objective identification of LA through improved semantic and probabilistic linguistic measures.
View Article and Find Full Text PDFParallelization has revolutionized computing and DNA sequencing but remains largely unexploited in mass spectrometry (MS), which typically analyzes ions sequentially. We introduce a nature-inspired ion trap (MultiQ-IT) that enables massively parallel MS. The device comprises a cubic array of small quadrupoles forming multiple ion entry and exit ports, allowing >10⁹ ions to be confined and manipulated simultaneously.
View Article and Find Full Text PDF