We explored the feasibility of using school personnel as reporters to examine the relationship between the level of adverse childhood experiences (ACEs) exposure in a nonclinical sample of public elementary schoolchildren and academic risk. We selected a random sample of 2,101 children from kindergarten through 6th grade classroom rosters at 10 elementary schools. Students were 50% male, 78% White, and 55% free and reduced meal program participants. School personnel reported their factual knowledge of 10 ACEs and academic risk in a database controlled by the schools. Data were de-identified prior to analysis. A high prevalence of ACEs exposure was reported (44%), with 13% of students experiencing 3 or more ACEs. Binary logistic regression analyses revealed a dose-response effect between the number of ACEs and risk of poor school attendance, behavioral issues, and failure to meet grade-level standards in mathematics, reading, or writing. Using elementary school personnel reports of child ACE exposure minimized family burden and potential intrusion while producing prevalence estimates consistent with those of caregiver report from the National Survey of Children's Health. Results suggest that understanding and responding to a child's ACE profile might be an important strategy for improving the academic trajectory of at-risk children. (PsycINFO Database Record

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Obesity prevention efforts targeting young children need to use consistent messaging across all contexts in which children develop in order to increase their understanding that physical activity and eating choices support health. Efforts need to counter inaccurate information and address the rationale for health practices. Key gaps in young children's understanding include: the importance of drinking water, that snacks are part of nutritional intake and the benefits of engaging in physical activities.

Objectives: We examined perceived behavior change since implementation of physical distancing restrictions and identified modifiable (self-rated health, resilience, depressive symptoms, social support and subjective wellbeing) and non-modifiable (demographics) risk/protective factors. Methods: A representative US sample (N = 362) completed an online survey about potential risk/protective factors and health behaviors prior to the pandemic and after implemented/recommended restrictions. We assessed change in perceived health behaviors prior to and following introduction of COVID-19. We conducted hierarchical linear regression to explore and identify risk/protective factors related to physical activity, diet quality, and social isolation. Results: There have been substantial decreases in physical activity and increases in sedentary behavior and social isolation, but no changes in diet quality since COVID-19. We identified modifiable and non-modifiable factors associated with each health behavior. Conclusions: Negative effects indicate the need for universal intervention to promote health behaviors. Inequalities in health behaviors among vulnerable populations may be exacerbated since COVID-19, suggesting need for targeted invention. Social support may be a mechanism to promote health behaviors. We suggest scaling out effective health behavior interventions with the same intensity in which physical distancing recommendations were implemented.