title: Identifying patterns of obesity risk behavior to improve pediatric primary care.
abstract: OBJECTIVE
  To develop profiles of obesity risk behaviors for children and adolescents.
  
  
  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.
  
  
  CONCLUSIONS
  Obesity risk factor profiles may help providers identify strengths and risks, tailor counseling, and plan interventions with families.
authors.affiliation: Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA.
authors.forename: Sarah J
authors.initials: SJ
authors.lastname: Schmiege
authors.affiliation: College of Nursing, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA.
authors.forename: Bonnie
authors.initials: B
authors.lastname: Gance-Cleveland
authors.affiliation: College of Nursing, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA.
authors.forename: Lynn
authors.initials: L
authors.lastname: Gilbert
authors.affiliation: College of Nursing, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA.
authors.forename: Heather
authors.initials: H
authors.lastname: Aldrich
authors.affiliation: HeartSmartKids, LLC, Broomfield, Colorado, USA.
authors.forename: Kevin C
authors.initials: KC
authors.lastname: Gilbert
authors.affiliation: College of Nursing, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA.
authors.forename: Amy
authors.initials: A
authors.lastname: Barton
mesh_terms: D000293:Adolescent; D002648:Child; D005260:Female; D015438:Health Behavior; D006801:Humans; D008297:Male; D063766:Pediatric Obesity / Q000517:prevention & control*; D011320:Primary Health Care / Q000458:organization & administration*; D011322:Primary Prevention / Q000458:organization & administration*; D012307:Risk Factors
keywords: Childhood obesity; computer decision support; latent class analysis; school-based health center