Individuals with ADHD symptoms are at an increased risk of lifetime trauma exposure. However, research has yet to fully examine whether symptoms of ADHD function as a temporal risk factor for experiencing trauma and specific mechanisms that may explain the association between symptoms of ADHD and trauma exposure. Two constructs that may account for the relation between ADHD symptoms and trauma are deviant peer association and neighborhood disadvantage. The present study sought to 1) elucidate the temporal nature of ADHD symptoms and exposure to trauma and 2) examine whether peer deviancy and/or neighborhood disadvantage mediate the relation between childhood ADHD symptoms and subsequent trauma exposure across a 20-year longitudinal cohort study. Participants (N = 616) were predominantly Black/African American (86%; Male n = 389) from an urban school district. Using structural equation modeling, total trauma exposures during young adulthood (Years 17-20) were regressed on parent- and teacher-rated ADHD symptoms in Grade 1 (Year 1). A significant indirect path from ADHD symptoms to trauma exposure through deviant peer affiliation (Year 16) indicated that having childhood ADHD symptoms predicted deviant peer affiliation 16 years later, which in turn predicted greater exposures to traumatic events during young adulthood, controlling for neighborhood disadvantage. Neighborhood disadvantage was not a significant mediator when accounting for peer deviancy. Taken together, findings contribute to a limited body of research that utilizes a prospective design to examine the association between childhood ADHD symptoms and trauma exposure in young adulthood among Black/African American youth. Potential targets for intervention are proposed.
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http://dx.doi.org/10.1007/s10802-024-01244-3 | DOI Listing |
The COVID-19 pandemic has been associated with increased neuropsychiatric conditions in children and youths, with evidence suggesting that SARS-CoV-2 infection may contribute additional risks beyond pandemic stressors. This study aimed to assess the full spectrum of neuropsychiatric conditions in COVID-19 positive children (ages 5-12) and youths (ages 12-20) compared to a matched COVID-19 negative cohort, accounting for factors influencing infection risk. Using EHR data from 25 institutions in the RECOVER program, we conducted a retrospective analysis of 326,074 COVID-19 positive and 887,314 negative participants matched for risk factors and stratified by age.
View Article and Find Full Text PDFMounting evidence suggests hierarchical psychopathology factors underlying psychiatric comorbidity. However, the exact neurobiological characterizations of these multilevel factors remain elusive. In this study, leveraging the brain-behavior predictive framework with a 10-year longitudinal imaging-genetic cohort (IMAGEN, ages 14, 19 and 23, = 1,750), we constructed two neural factors underlying externalizing and internalizing symptoms, which were reproducible across six clinical and population-based datasets (ABCD, STRATIFY/ ESTRA, ABIDE II, ADHD-200 and XiNan, from age 10 to age 36, = 3,765).
View Article and Find Full Text PDFCurr Neuropharmacol
January 2025
Department of Pharmacology, School of Medicine University of Zagreb, Zagreb, Croatia.
This review explores the therapeutic potential of the stable gastric pentadecapeptide BPC 157 in addressing electrolyte imbalances, specifically hyperkalemia, hypokalemia, hypermagnesemia, and hyperlithemia. In hyperkalemia, BPC 157 demonstrated a comprehensive counteractive effect against KCl overdose (intraperitoneally, intragastrically, and in vitro), effectively mitigating symptoms such as muscular weakness, hypertension, sphincter dysfunction, arrhythmias, and lethality. It also counteracted the adverse effects of succinylcholine and magnesium overdose, including systemic muscle paralysis, arrhythmias, and hyperkalemia.
View Article and Find Full Text PDFEur J Obstet Gynecol Reprod Biol
January 2025
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Los Angeles General Medical Center, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA. Electronic address:
Objective: To assess clinical and obstetric characteristics associated with pregnant patients with a diagnosis of attention-deficit hyperactivity disorder (ADHD).
Methods: This serial cross-sectional study queried the Agency of Healthcare Research and Quality's Healthcare Cost and Utilization Project National Inpatient Sample. The study population was 16,759,786 hospital deliveries from 2016 to 2020.
J Clin Exp Neuropsychol
January 2025
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Introduction: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process required to detect these noncredible symptoms. The present study investigated whether unsupervised machine learning (ML) could serve as one such method, and detect noncredible symptom reporting in adults undergoing ADHD evaluations.
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