References
2. Dietz WH. Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics 1998;101(3 Pt 2):518–525.
3. McCrindle BW. Cardiovascular consequences of childhood obesity. Can J Cardiol 2015;31:124–130.
4. Liang Y, Hou D, Zhao X, et al. Childhood obesity affects adult metabolic syndrome and diabetes. Endocrine 2015;50:87–92.
5. Inge TH, King WC, Jenkins TM, et al. The effect of obesity in adolescence on adult health status. Pediatrics 2013;132:1098–1104.
6. Sorof JM, Lai D, Turner J, et al. Overweight, ethnicity, and the prevalence of hypertension in school-aged children. Pediatrics 2004;113(3 Pt 1):475–482.
7. Spivack JG, Swietlik M, Alessandrini E, et al. Primary care providers' knowledge, practices, and perceived barriers to the treatment and prevention of childhood obesity. Obesity 2010;18:1341–1347. .
8. Story MT, Neumark-Stzainer DR, Sherwood NE, et al. Management of child and adolescent obesity: attitudes, barriers, skills, and training needs among health care professionals. Pediatrics 2002;110(1 Pt 2):210–214.
9. Liang L, Meyerhoefer C, Wang J. Obesity counseling by pediatric health professionals: an assessment using nationally representative data. Pediatrics 2012;130:67–77.
10. de Niet J, Timman R, Bauer S, et al. Short message service reduces dropout in childhood obesity treatment: a randomized controlled trial. Health Psychol 2012;31:797–805.
11. Mulvaney SA, Ho YX, Cala CM, et al. Assessing adolescent asthma symptoms and adherence using mobile phones. J Med Internet Res 2013;15:e141.
12. Stinson JN, Lalloo C, Harris L, et al. iCanCope with Pain: user-centred design of a web- and mobile-based self-management program for youth with chronic pain based on identified health care needs. Pain Res Manag 2014;19:257–265.
13. Pramanik BK, Angelin JJ, Mathai VJ, et al. Smartphone app as motivational intervention to improve glycemic control in adolescents with type 1 diabetes. Indian J Pediatr 2019;86:1118–1123.
17. Nollen NL, Mayo MS, Carlson SE, et al. Mobile technology for obesity prevention: a randomized pilot study in racial- and ethnic-minority girls. Am J Prev Med 2014;46:404–408.
18. Direito A, Jiang Y, Whittaker R, et al. Apps for improving fitness and increasing physical activity among young people: the AIMFIT pragmatic randomized controlled trial. J Med Internet Res 2015;17:e210.
19. Stephens TN, Joerin A, Rauws M, et al. Feasibility of pediatric obesity and prediabetes treatment support through Tess, the AI behavioral coaching chatbot. Transl Behav Med 2019;9:440–447.
20. Quelly SB, Norris AE, DiPietro JL. Impact of mobile apps to combat obesity in children and adolescents: a systematic literature review. J Spec Pediatr Nurs 2016;21:5–17.
21. Livingood WC, Monticalvo D, Bernhardt JM, et al. Engaging adolescents through participatory and qualitative research methods to develop a digital communication intervention to reduce adolescent obesity. Health Educ Behav 2017;44:570–580.
22. Rohde A, Duensing A, Dawczynski C, et al. An app to improve eating habits of adolescents and young adults (challenge to go): systematic development of a theory-based and target group-adapted mobile app intervention. JMIR Mhealth Uhealth 2019;7:e11575.
23. Schoeppe S, Alley S, Rebar AL, et al. Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: a review of quality, features and behaviour change techniques. Int J Behav Nutr Phys Act 2017;14:83.
24. Jimoh F, Lund EK, Harvey LJ, et al. Comparing diet and exercise monitoring using smartphone app and paper diary: a two-phase intervention study. JMIR Mhealth Uhealth 2018;6:e17.
25. Roberts JR, Kennedy SA, Darden PM, et al. Prevalence of obesity in children: comparing children from the South Carolina pediatric practice research network with a national sample. Clin Pediatr (Phila) 2010;49:750–755.
26. Brinkmann S, Kvale S. InterViews: Learning the Craft of Qualitative Research Interviewing, Vol 3. Thousand Oaks, CA: Sage Publications; 2015.
27. Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res 2005;15:1277–1288.
28. Lowe A, Norris AC, Farris AJ, et al. Quantifying thematic saturation in qualitative data analysis. Field Methods 2018;30:191–207.
30. Lahey BB, Schwab-Stone M, Goodman SH, et al. Age and gender differences in oppositional behavior and conduct problems: A cross-sectional household study of middle childhood and adolescence. J Abnorm Psychol 2000;109:488–503.
31. US Preventive Services Task Force, Grossman DC, Bibbins-Domingo K, et al. Screening for obesity in children and adolescents: US Preventive Services Task Force recommendation statement. JAMA 2017;317:2417–2426.
32. SanGiovanni C, McElligott J, Morella K, et al. Underdiagnosis and lower rates of office visits for overweight/obese pediatric patients in rural compared with urban areas. South Med J 2017;110:480–485.
33. San Giovanni CB, Morella K, Roberts JR. Primary care providers welcome smartphone apps that assist in pediatric weight management. Clin Pediatr (Phila) 2019;58:665–670.
34. Singh K, Drouin K, Newmark LP, et al. Patient-facing mobile apps to treat high-need, high-cost populations: a Scoping review. JMIR mHealth uHealth 2016;4:e136.
35. Rivera J, McPherson A, Hamilton J, et al. Mobile apps for weight management: a Scoping review. JMIR Mhealth Uhealth 2016;4:e87.
36. Mockus DS, Macera CA,Wingard DL, et al. Dietary self-monitoring and its impact on weight loss in overweight children. Int J Pediatr Obes 2011;6:197–205.
37. Germann JN, Kirschenbaum DS, Rich BH. Child and parental self-monitoring as determinants of success in the treatment of morbid obesity in low-income minority children. J Pediatr Psychol 2007;32:111–121.
38. Sharifi M, Dryden EM, Horan CM, et al. Leveraging text messaging and mobile technology to support pediatric obesity-related behavior change: a qualitative study using parent focus groups and interviews. J Med Internet Res 2013;15:e272.
39. Weller SC, Vickers B, Bernard HR, et al. Open-ended interview questions and saturation. PLoS One 2018;13:e0198606.
40. Wang JY, Bennett K, Probst J. Subdividing the digital divide: differences in internet access and use among rural residents with medical limitations. J Med Internet Res 2011;13:e25.