Identifying patterns of obesity risk behavior to improve pediatric primary care.

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.