Latent Profiles of Health Behaviors in Rural Children with Overweight and Obesity. (21st October 2020)

• Record Type: Journal Article
• Authors: Mitchell, Tarrah B; Janicke, David M; Ding, Ke; Moorman, Erin L; Basch, Molly C; Lim, Crystal S; Mathews, Anne E
• Is Part Of: Journal of pediatric psychology. Volume 45:Number 10(2020)
• Page Start: 1166
• Page End: 1176
• Publication Date: 2020-10-21
• Subjects: children -- diet -- mixture model -- physical activity -- psychosocial -- sleep; Clinical child psychology -- Periodicals; 618.9289005
• DOI: 10.1093/jpepsy/jsaa071
• Languages: English
• ISSNs: 0146-8693

Abstract

Abstract: Objective: The objectives were to identify profiles of school-age children with overweight and obesity (OW/OB) from rural counties based on patterns of diet, activity, and sleep, to examine demographic predictors, and to examine whether profiles were differentially associated with psychosocial functioning. Methods: Participants included 163 children ( M age = 9.8) and parents. Children wore accelerometers to assess physical activity and sleep duration. Consumption of fruits and vegetables (F/V) and sugar-sweetened beverages (SSB) was assessed with a food frequency questionnaire. Self-report of emotional, social, and academic health-related quality of life (HRQOL), peer victimization, social skills, and social problem behaviors was collected, as well as parent-report of HRQOL. Latent variable mixture modeling (LVMM) was conducted. Results: Sleep did not significantly contribute to profile differentiation and was removed. Four profiles emerged: (a) Low F/V + Low SSB + Low activity, (b) Low F/V + Low SSB + Moderate activity, (c) High F/V + High SSB + Low activity, and (d) Moderate F/V + Moderate SSB + High activity. Older children were more likely to be in profile 1. After controlling for child age, parents of children in profile 1 reported significantly lower child social HRQOL than parents of children in profiles 2 and 4. Children in profile 4 reported experiencing significantly lower victimization than those in profile 3. Conclusions: There are subgroups of rural children with OW/OB that engage in various combinations of healthy and unhealthy behaviors. LVMM has the potential to inform future interventions and identify needs of groups of children with OW/OB.