Student Research Assistant Ann & Robert H. Lurie Children’s Hospital Chicago, Illinois, United States
Background: Motor vehicle collisions remain a leading cause of death in children. Suboptimal use of car seats and booster seats persists despite increasing public health measures focused on child passenger safety behavior, such as laws and regulations. Knowledge and perceived societal norms have been shown to affect caregivers' reception to behavioral interventions. The Integrated Behavioral Model (IBM), which combines cognitive, social, and emotional factors to predict health-related behavior, suggests that these factors will influence behavior change. However, this model has not been extensively studied in child passenger safety Objective: To use IBM to gain insight into how car seat knowledge, internal and external motivation, self-efficacy, parenting stress, risk perceptions, and perceived societal norms relate to caregiver adherence to child passenger safety guidelines at baseline among caregivers enrolled in a behavioral intervention trial to promote size-appropriate child passenger restraint use. To explore changes in car seat knowledge, internal and external motivation, self-efficacy, and risk perceptions between baseline to 12-month follow-up. Design/Methods: Secondary analysis of data collected for the Tiny Cargo, Big Deal! Abróchame Bien, Cuídame Bien trial that enrolled caregivers of children 6 months to 10 years who were < 55 inches tall after an acute care visit in Chicago. We will analyze questions asked at baseline and 12 months including caregiver car safety knowledge, their motivation to use a recommended restraint using an adaptation of the Treatment Self-Regulation Questionnaire, their perceived confidence in selection and use of their child’s current restraint, Parenting Stress Index, Risk Behavior Diagnosis Scale, and their perception of societal norms around car safety behavior in their current community and the community they grew up in. Of the 481 participants who were eligible to take the survey at baseline, 350 completed the 12-month follow-up survey. R studio will be used for descriptive statistics, chi-square, t-tests, and logistic regression analyses.
