Identifying patterns of obesity risk behavior to improve pediatric primary care

To develop profiles of obesity risk behaviors for children and adolescents.

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.

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.

Obesity risk factor profiles may help providers identify strengths and risks, tailor counseling, and plan interventions with families.