학술논문
Do Individual Characteristics and Social Support Increase Children's Use of an MHealth Intervention? Findings from the Evaluation of a Behavior Change MHealth App, Aim2Be.
Document Type
Academic Journal
Author
Deslippe AL; Human Nutrition, Land and Food Systems, University of British Columbia, Vancouver, British Columbia, Canada.; Healthy Starts, BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.; González OD; School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.; Evidence to Innovation (Behaviour Change Group), BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.; Buckler EJ; School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada.; Ball GDC; Department of Pediatrics, Faculty of Medicine and Dentistry, College of Health Sciences, University of Alberta, Edmonton, Alberta, Canada.; Ho J; Department of Pediatrics, Alberta Children's Hospital, Calgary, Alberta, Canada.; Bucholz A; Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.; Morrison KM; Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada.; Mâsse LC; School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.; Evidence to Innovation (Behaviour Change Group), BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.
Source
Publisher: Mary Ann Liebert Country of Publication: United States NLM ID: 101542497 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2153-2176 (Electronic) Linking ISSN: 21532168 NLM ISO Abbreviation: Child Obes Subsets: MEDLINE
Subject
Language
English
Abstract
Purpose: Mobile health (mHealth) apps may support improved health behavior practice among youth living in larger bodies. However, long-term use is low, limiting effectiveness. This study evaluated whether youths' motivation, satisfaction, engagement with social features, or parent co-participation supported long-term use of an app named Aim2Be. Methods: A secondary analysis of two versions of Aim2Be (preteen and teen versions) using covariate-adjusted multivariable regression was conducted. We evaluated associations between social support features (a virtual coach, a social poll, or a social wall), parent co-participation (time spent in the parent app), and app satisfaction on use (time spent in Aim2Be). Models were stratified by age and satisfaction was explored as a moderator. Results: Preteens ( n = 83) engagement with the social poll ( β = 0.26, p < 0.001), virtual health coach ( β = 0.24, p = 0.01), app satisfaction ( β = 0.31, p = 0.01), and parent co-participation ( β = 0.24, p = 0.01) predicted use. In teens ( n = 90), engagement with the virtual coach ( β = 0.31, p < 0.001) and full utilization of social wall features ( β = 0.41, p < 0.001) predicted use. Furthermore, satisfaction moderated the effects of partial utilization of the social wall among teens ( β = 0.32 p = 0.02). Conclusion: Social support in mHealth apps may impact users differently depending on age. Features that include health professionals or peers may be more advantageous across ages. App developers should consider age when designing interventions. Clinical Trial Registration NCT03651284.