Purpose: To develop profiles of obesity risk behaviors for children and adolescents.
Design and methods: Risk assessments were obtained from patients (n = 971) at a school-based health center. Latent class analysis was used to create subgroups based on seven indicators measuring diet, activity, and screen time.
Results: Four classes emerged, with 44% classified as the "Healthiest," 8% as the "Least Healthy," 37% as "Mixed Diet/Low Activity/Low Screen Time," and 11% as "Mixed Diet/High Activity/High Screen Time." Several demographic predictors distinguished the classes.
Practice implications: Obesity risk factor profiles may help providers identify strengths and risks, tailor counseling, and plan interventions with families.
Keywords: Childhood obesity; computer decision support; latent class analysis; school-based health center.
© 2015, Wiley Periodicals, Inc.