280 Estimating Latent Attitudinal and Behavioral Risk Profiles and Associations with Food Allergy-Related Quality of Life

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OBJECTIVES/GOALS: Childhood food allergy (FA) is a chronic condition that can profoundly impact patient and caregiver quality of life (QoL). Risk factors for impaired FA-related QoL remain largely unknown. This study aims to estimate latent profiles of caregiver attitudes and behaviors, and examine if group membership correlates with established QoL outcomes. METHODS/STUDY POPULATION: This project is subsumed under the FORWARD study (5R01AI130348-04), a multisite longitudinal cohort study conducted at four major pediatric medical centers. Eligible participants include caregivers of children ages 12 years and under who identify as Black or White and have at least one physician-diagnosed FA. Participants complete intake surveys, annual clinical visits, and quarterly surveys administered via REDCap. As of November 2022, 413 Non-Hispanic Black and 486 Non-Hispanic White participants were enrolled. RESULTS/ANTICIPATED RESULTS: We anticipate that specific latent profiles will emerge based on caregiver-reported attitudes and behaviors. We predict these profiles will demonstrate configural, metric, and scalar invariance across key sociodemographic strata (e.g., child race/ethnicity, household income, caregiver educational attainment, and child sex). Relatedly, we anticipate that sociodemographic factors, such as race, sex, ethnicity, parental education, and income, will significantly predict group membership. Finally, we predict that latent profile membership will be associated with different levels of quality of life, as assessed by the parental food allergy-related quality of life questionnaire (FAQLQ-PF-10) and other validated measures of FA-related psychosocial burden. DISCUSSION/SIGNIFICANCE: Given the psychosocial burden associated with FA, and limited mental health resources for patients and families, it is essential to improve understanding of how caregiver attitudes influence behavior and disease management outcomes. In so doing, we will inform the development and implementation of tailored interventions for those at highest risk.

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