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This is the first study of US adults to examine change in the prevalence of psychological burden (i.e., self-reported poor mental health days in the past 30 days, and ACEs recollections) before compared to after COVID-19 started. We analyzed the prevalence of self-reported poor mental health days, and ACEs recollections from 17 states using the Behavioral Risk Factor Surveillance System. Adjusted models identified an increase in prevalence from before compared to after COVID-19 onset in those married or partnered reporting 48% more poor mental health days in the past 30 days; persons of color reporting living with anyone with mental illness during childhood by 73% and reporting more ACEs by 35%; those employed or self-employed reporting childhood sexual abuse by 45%. This ecological-level analysis revealed population-level changes in psychological well-being reporting of U.S. adults from before compared to after the pandemic onset. [ABSTRACT FROM AUTHOR]

As many as 1 in 5 youth in the United States experience social, emotional, and behavioral problems. However, many students with mental health concerns are unidentified and do not receive adequate care. The purpose of this study was to evaluate the factor structure, measurement invariance, and the concurrent and predictive validity of the Early Identification System-Student Report (EIS-SR), a screener for social, emotional, and behavioral problems, using a sample of over 5000 students from Grades 3 to 5. The EIS-SR was developed by using extant literature on the risk indicators that lead to social, emotional, and behavioral challenges among children and youth. As expected, seven subscales were identified as having adequate factor loadings. Furthermore, the measure was determined to be invariant across grade level (n = 5005), gender (n = 5005), and between Black and White students (n = 1582). The concurrent validity of the Internalizing Behavior, Attention and Academic Issues, Emotion Dysregulation, and School Disengagement subscales was supported by correlations with comparable subscales of the Behavior Assessment System for Children-3rd Edition (BASC-3; n = 382). Additionally, the EIS-SR subscales administered in the fall of the school year were predictive of important outcomes in spring, including attendance (n = 4780), disciplinary referrals (n = 4938), bully victimization (n = 4670), math academic achievement scores (n = 4736), and reading (n = 4772) academic achievement scores. The EIS-SR holds promise as a feasible and technically adequate screening tool for use in elementary schools. [ABSTRACT FROM AUTHOR]