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1. Developmental trajectories of internalizing distress among ethnic minoritized mothers following childbirth: Associations with early child psychological adjustment

   https://doi.org/10.1017/S0954579422001031  

   Osornio, Alisha C; Lane, Sean P; Urizar, Guido G; Gonzalez, Araceli; Halim, May_Ling D (February 2024, Development and Psychopathology)

   Abstract A substantial body of work has established that mothers’ internalizing distress can negatively affect children’s socioemotional development. Yet few studies have examined how distinct patterns of mothers’ distress over time differentially impact child behaviors across early childhood. To address this gap, the current study explored developmental trajectories of mothers’ internalizing distress and examined the associations of these patterns with child adjustment outcomes. Mexican immigrant, Dominican immigrant, and African American mothers (N= 272) were annually assessed for internalizing distress over the first 6 years following childbirth. Children’s psychological adjustment (internalizing, externalizing, and hyperactivity behaviors) was measured at the last yearly assessment in first grade. A growth mixture model revealed two distinct classes of distress where mothers were classified as having low stable distress (82.4%) or moderate distress that began as stable then declined when their children were 64 months old (17.6%). Children of mothers in themoderate, late declineclass showed greater internalizing, externalizing, and hyperactivity behaviors in the first grade compared to children of mothers in thelow stableclass. Findings highlight the necessity of supporting the mental health of ethnic minoritized mothers following childbirth and further expand our knowledge of family psychopathology to promote healthy psychological adjustment in children. 

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2. Trial by trial EEG based BCI for distress versus non distress classification in individuals with ASD

   https://doi.org/10.1038/s41598-021-85362-8  

   Eldeeb, Safaa; Susam, Busra T.; Akcakaya, Murat; Conner, Caitlin M.; White, Susan W.; Mazefsky, Carla A. (December 2021, Scientific Reports)

   null (Ed.)

   Abstract Autism spectrum disorder (ASD) is a neurodevelopmental disorder that is often accompanied by impaired emotion regulation (ER). There has been increasing emphasis on developing evidence-based approaches to improve ER in ASD. Electroencephalography (EEG) has shown success in reducing ASD symptoms when used in neurofeedback-based interventions. Also, certain EEG components are associated with ER. Our overarching goal is to develop a technology that will use EEG to monitor real-time changes in ER and perform intervention based on these changes. As a first step, an EEG-based brain computer interface that is based on an Affective Posner task was developed to identify patterns associated with ER on a single trial basis, and EEG data collected from 21 individuals with ASD. Accordingly, our aim in this study is to investigate EEG features that could differentiate between distress and non-distress conditions. Specifically, we investigate if the EEG time-locked to the visual feedback presentation could be used to classify between WIN (non-distress) and LOSE (distress) conditions in a game with deception. Results showed that the extracted EEG features could differentiate between WIN and LOSE conditions (average accuracy of 81%), LOSE and rest-EEG conditions (average accuracy 94.8%), and WIN and rest-EEG conditions (average accuracy 94.9%). 

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3. Screen time as an index of family distress

   https://doi.org/10.1016/j.crbeha.2021.100023  

   Hartshorne, Joshua K.; Huang, Yi Ting; Lucio Paredes, Pablo Martín; Oppenheimer, Kathleen; Robbins, Parker T.; Velasco, María Daniela (November 2021, Current Research in Behavioral Sciences)
4. Distress among undergraduates: Marginality, stressors and resilience resources

   Nurius, P. S. (January 2021, Journal of American college health)

   null (Ed.)

   Objective: This study addresses mental health concerns among university students, examining cumulative stress exposure as well as resilience resources. Participants: Participants were 253 first- and second-year undergraduate students (age = 18.76; 49.80% male, 69% students of color) enrolled at a large western US university. Methods: Data were obtained from a cross-sectional online survey examining marginalized statuses and multiple stressors alongside coping responses, adaptive self-concept, and social support as predictors of stress, anxiety, and depression. Results: Multivariate regressions demonstrated significant associations between stress exposures and lower levels of resilience resources with each mental health indicator (with substantial R2 of.49-.60). Although stressor exposures accounted for significant increases in mental health concerns, their exploratory power was attenuated by resilience resources (e.g., beta decreases from.25 to.16). Conclusions: Better understanding cumulative adversity/resilience resource profiles, particularly among marginalized students, can help universities in prioritizing institutional support responses toward prevention and mitigating psychological distress. 

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5. Towards Noninvasive Accurate Detection of Intrapartum Fetal Hypoxic Distress

   https://doi.org/10.1109/BSN51625.2021.9507036  

   Kasap, Begum; Vali, Kourosh; Qian, Weitai; Hedriana, Herman L.; Wang, Aijun; Farmer, Diana L.; Ghiasi, Soheil (July 2021, IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks (BSN))