Sarah J Schmiege1, Bonnie Gance-Cleveland2, Lynn Gilbert2, Heather Aldrich2, Kevin C Gilbert3, Amy Barton2. 1. Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA. 2. College of Nursing, University of Colorado-Anschutz Medical Campus, Aurora, Colorado, USA. 3. HeartSmartKids, LLC, Broomfield, Colorado, USA.
Abstract
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.
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.
Authors: Thiago Sousa Matias; Kelly Samara Silva; Jaqueline Aragoni da Silva; Gabrielli Thais de Mello; Jo Salmon Journal: BMC Public Health Date: 2018-11-21 Impact factor: 3.295