Maneuvering through Life with Positivity: Estimating the Effects of Foster Youth's Appraisal on Coping Styles

Youth in foster care tend to experience a disproportional number of adverse life experiences and demonstrate high rates of emotional and behavioral difficulties. According to the transactional model of stress and coping, how youth appraise their experiences influences the type of coping strategies they use in response to adversity, and these relations are key components to understanding later adjustment. However, few studies have examined potential effects of appraisal on coping for youth in foster care. Furthermore, it is not well understood if or how such interaction may vary across age. To address this gap, this study examined potential age moderation of contemporaneous primary, threat-based appraisal effects on coping in a large sample of 490 youth in foster care (48% female, ages 8 to 18) using a series of statistical models which were capable of detecting very general forms of effect moderation. Results indicated that primary appraisal positively predicted direct and prosocial coping, and negatively predicted asocial coping. The linear effects of appraisal on coping did not vary based on age of the youth. The findings suggest that primary appraisals of life events for youth in foster care does have a unique influence on certain coping styles, suggesting perhaps new directions for research on youth exposed to multiple adversities. To promote wider use of the non-parametric time-varying effect model in R, the analysis syntax is also included in the appendix.

The Epidemic-Pandemic Impacts Inventory (EPII): A multisample study examining pandemic-related experiences and their relation to mental health

The Epidemic-Pandemic Impacts Inventory (EPII) was developed to assess pandemic-related adverse and positive experiences across several key domains, including work/employment, home life, isolation, and quarantine. Several studies have associated EPII-assessed pandemic-related experiences with a wide range of psychosocial factors, most commonly depressive and anxiety symptoms. The present study investigated the degree to which specific types of COVID-19 pandemic-related experiences may be associated with anxiety and depression risk, capitalizing on two large, independent samples with marked differences in sociodemographic characteristics. The present study utilized two adult samples: participants (N = 635) recruited online over a 4-week period in early 2020 (Sample 1) and participants (N = 908) recruited from the student body of a large Northeastern public university (Sample 2). We employed a cross-validated, least absolute shrinkage and selection operator (LASSO) regression approach, as well as a random forest (RF) machine learning algorithm, to investigate classification accuracy of anxiety/depression risk using the pandemic-related experiences from the EPII. The LASSO approach isolated eight items within each sample. Two items from the work/employment and emotional/physical health domains overlapped across samples. The RF approach identified similar items across samples. Both methods yielded acceptable cross-classification accuracy. Applying two analytic approaches on data from two large, sociodemographically unique samples, we identified a subset of sample-specific and nonspecific pandemic-related experiences from the EPII that are most predictive of concurrent depression/anxiety risk. Findings may help to focus on key experiences during future public health disasters that convey greater risk for depression and anxiety symptoms. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Adding fuel to the fire? Examining exposure to potentially stressful or traumatic events before and during the COVID-19 pandemic in low-income, Black families

OBJECTIVE

The COVID-19 pandemic has upended the lives of many individuals. While emerging evidence has begun to document health (e.g., infection) and financial (e.g., job loss) consequences, less is known about the day-to-day experiences of some of the country's most vulnerable populations. The current study sought to address this gap in understanding by examining exposure to potentially stressful or traumatic experiences (PSTEs) and their relation to mental health among predominately low-income, African American/Black individuals.

METHOD

Adult caregivers (N = 110) from an ongoing longitudinal research project occurring prior the pandemic completed surveys about their exposure to COVID-19-specific PSTEs during the initial months of the pandemic. Information on participants was combined with pre-COVID-19 PSTE exposure and examined in relation to current mental health functioning (e.g., depression).

RESULTS

Findings indicated that participants experienced several different types of COVID-19-specific PSTEs across multiple domains, including home, work, social life, and health and well-being. Results from model testing indicated that COVID-19-specific PSTEs were only associated with worry about COVID-19-specifically. Adulthood PSTEs prior to COVID-19 were also associated with current anxiety symptoms.

CONCLUSIONS

Among low-income, African American/Black individuals with a history of exposure to PSTEs, additional PSTEs experienced during the COVID-19 pandemic may not contribute significantly to general mental health functioning above and beyond pre-COVID-19 PSTE exposures. Taken together, research on PSTE exposure from the pandemic should make attempts to account for lifetime PSTE exposure to most accurately evaluate current mental health concerns, especially among marginalized populations. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

High-resolution chromosome ideogram representation of recognized genes for bipolar disorder

Bipolar disorder (BPD) is genetically heterogeneous with a growing list of BPD associated genes reported in recent years resulting from increased genetic testing using advanced genetic technology, expanded genomic databases, and better awareness of the disorder. We compiled a master list of recognized susceptibility and genes associated with BPD identified from peer-reviewed medical literature sources using PubMed and by searching online databases, such as OMIM. Searched keywords were related to bipolar disorder and genetics. Our compiled list consisted of 290 genes with gene names arranged in alphabetical order in tabular form with source documents and their chromosome location and gene symbols plotted on high-resolution human chromosome ideograms. The identified genes impacted a broad range of biological pathways and processes including cellular signaling pathways particularly cAMP and calcium (e.g., CACNA1C, CAMK2A, CAMK2D, ADCY1, ADCY2); glutamatergic (e.g., GRIK1, GRM3, GRM7), dopaminergic (e.g., DRD2, DRD4, COMT, MAOA) and serotonergic (e.g., HTR1A, HTR2A, HTR3B) neurotransmission; molecular transporters (e.g., SLC39A3, SLC6A3, SLC8A1); and neuronal growth (e.g., BDNF, IGFBP1, NRG1, NRG3). The increasing prevalence of BPD calls for better understanding of the genetic etiology of this disorder and associations between the observed BPD phenotype and genes. Visual representation of genes for bipolar disorder becomes a tool enabling clinical and laboratory geneticists, genetic counselors, and other health care providers and researchers easy access to the location and distribution of currently recognized BPD associated genes. Our study may also help inform diagnosis and advance treatment developments for those affected with this disorder and improve genetic counseling for families.

Morphometric Analysis of Recognized Genes for Autism Spectrum Disorders and Obesity in Relationship to the Distribution of Protein-Coding Genes on Human Chromosomes

Mammalian chromosomes are comprised of complex chromatin architecture with the specific assembly and configuration of each chromosome influencing gene expression and function in yet undefined ways by varying degrees of heterochromatinization that result in Giemsa (G) negative euchromatic (light) bands and G-positive heterochromatic (dark) bands. We carried out morphometric measurements of high-resolution chromosome ideograms for the first time to characterize the total euchromatic and heterochromatic chromosome band length, distribution and localization of 20,145 known protein-coding genes, 790 recognized autism spectrum disorder (ASD) genes and 365 obesity genes. The individual lengths of G-negative euchromatin and G-positive heterochromatin chromosome bands were measured in millimeters and recorded from scaled and stacked digital images of 850-band high-resolution ideograms supplied by the International Society of Chromosome Nomenclature (ISCN) 2013. Our overall measurements followed established banding patterns based on chromosome size. G-negative euchromatic band regions contained 60% of protein-coding genes while the remaining 40% were distributed across the four heterochromatic dark band sub-types. ASD genes were disproportionately overrepresented in the darker heterochromatic sub-bands, while the obesity gene distribution pattern did not significantly differ from protein-coding genes. Our study supports recent trends implicating genes located in heterochromatin regions playing a role in biological processes including neurodevelopment and function, specifically genes associated with ASD.

Currently recognized genes for schizophrenia: High-resolution chromosome ideogram representation

A large body of genetic data from schizophrenia-related research has identified an assortment of genes and disturbed pathways supporting involvement of complex genetic components for schizophrenia spectrum and other psychotic disorders. Advances in genetic technology and expanding studies with searchable genomic databases have led to multiple published reports, allowing us to compile a master list of known, clinically relevant, or susceptibility genes contributing to schizophrenia. We searched key words related to schizophrenia and genetics from peer-reviewed medical literature sources, authoritative public access psychiatric websites and genomic databases dedicated to gene discovery and characterization of schizophrenia. Our list of 560 genes were arranged in alphabetical order in tabular form with gene symbols placed on high-resolution human chromosome ideograms. Genome wide pathway analysis using GeneAnalytics was carried out on the resulting list of genes to assess the underlying genetic architecture for schizophrenia. Recognized genes of clinical relevance, susceptibility or causation impact a broad range of biological pathways and mechanisms including ion channels (e.g., CACNA1B, CACNA1C, CACNA1H), metabolism (e.g., CYP1A2, CYP2C19, CYP2D6), multiple targets of neurotransmitter pathways impacting dopamine, GABA, glutamate, and serotonin function, brain development (e.g., NRG1, RELN), signaling peptides (e.g., PIK3CA, PIK4CA) and immune function (e.g., HLA-DRB1, HLA-DQA1) and interleukins (e.g., IL1A, IL10, IL6). This summary will enable clinical and laboratory geneticists, genetic counselors, and other clinicians to access convenient pictorial images of the distribution and location of contributing genes to inform diagnosis and gene-based treatment as well as provide risk estimates for genetic counseling of families with affected relatives.