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Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment
Covid‑19‑Related Risk, Resilience, And Mental Health Among Mexican American Mothers Across The First Year Of The Pandemic, Amy L. Non, Elizabeth S. Clausing, Sandraluz Lara‑Cinisomo, Kimberly L. D’Anna Hernandez
Covid‑19‑Related Risk, Resilience, And Mental Health Among Mexican American Mothers Across The First Year Of The Pandemic, Amy L. Non, Elizabeth S. Clausing, Sandraluz Lara‑Cinisomo, Kimberly L. D’Anna Hernandez
Center for Brain, Biology, and Behavior: Faculty and Staff Publications
Background Latina mothers have been especially affected by the pandemic and historically exhibit high rates of depression and anxiety. However, few longitudinal studies have assessed the effect of the pandemic on this vulnerable population. We hypothesized that COVID-19-related stressors would associate with psychological distress among Latina mothers across the first year of the pandemic.
Methods We investigated COVID-19-related impact, stigma, and fears across two critical time points and changes in these measures in relation to changes in maternal anxiety and depression among mothers of Mexican descent living in Southern California (n=152). Surveys were administered within 5–16 weeks of …
Identification Of Structural Brain Alterations In Adolescents With Depressive Symptomatology, J. Bashford‑Largo, R. James R. Blair, Karina S. Blair, Matthew Dobbertin, Ahria Dominguez, Melissa Hatch, Sahil Bajaj
Identification Of Structural Brain Alterations In Adolescents With Depressive Symptomatology, J. Bashford‑Largo, R. James R. Blair, Karina S. Blair, Matthew Dobbertin, Ahria Dominguez, Melissa Hatch, Sahil Bajaj
Center for Brain, Biology, and Behavior: Faculty and Staff Publications
Introduction: Depressive symptoms can emerge as early as childhood and may lead to adverse situations in adulthood. Studies have examined structural brain alternations in individuals with depressive symptoms, but findings remain inconclusive. Furthermore, previous studies have focused on adults or used a categorical approach to assess depression. The current study looks to identify grey matter volumes (GMV) that predict depressive symptomatology across a clinically concerning sample of adolescents.
Methods: Structural MRI data were collected from 338 clinically concerning adolescents (mean age = 15.30 SD=2.07; mean IQ = 101.01 SD=12.43; 132 F). Depression symptoms were indexed via the Mood …