The EPIC Kids Study: a randomized family-focused YMCA-based intervention to prevent type 2 diabetes in at-risk youth

Melanie D Hingle, Tami Turner, Randa Kutob, Nirav Merchant, Denise J Roe, Craig Stump, Scott B Going, Melanie D Hingle, Tami Turner, Randa Kutob, Nirav Merchant, Denise J Roe, Craig Stump, Scott B Going

Abstract

Background: It is well established that behavioral lifestyle interventions resulting in modest weight reduction in adults can prevent or delay type 2 diabetes mellitus; however in children, successful weight management interventions are rarely found outside of controlled clinical settings. The lack of effective community-based programs is a barrier to reducing obesity prevalence and diabetes risk in children. The objective of our study is to develop and test a group-randomized family-centered community-based type 2 diabetes prevention intervention targeting at-risk children, 9- to 12-years-old.

Methods/design: Using participatory methods, the adult-focused YMCA Diabetes Prevention Program was adapted for families, creating a novel lifestyle behavior change program focused on healthy eating, physical activity, and a supportive home environment. The program will be tested in sixty 9- to 12-year-old children at risk of diabetes and sixty parents over 12 consecutive weeks with two intervention formats randomized by location: a face-to-face instructor-led program, or a hybrid program with alternating face-to-face and mobile technology-delivered content. Anthropometric, behavioral, psychosocial and physiological outcomes will be assessed at baseline, post-intervention (12 weeks), and follow-up (24 weeks). Secondary outcomes are participant acceptability, feasibility, and adherence. The RE-AIM framework (reach, efficacy, adoption, implementation, and maintenance) will guide intervention implementation and evaluation. Changes at 12 weeks will be assessed using a paired t-test combining both delivery formats. Exploratory models using linear regression analysis will estimate the magnitude of the difference between the face-to-face and hybrid format. The sample size of 60 children, informed by a previous YMCA intervention in which -4.3 % change in overweight (SE = 1.1) was observed over 6 months, will give us 80 % power to detect an effect size of this magnitude, assuming a one-sided test at alpha = 0.05.

Discussion: The proposed study capitalizes on a partnership with the YMCA, a popular and widespread community organization, and uses mobile technologies to extend program reach while potentially reducing burden associated with weekly attendance. The long-term goal is to create a scalable, replicable, and sustainable pediatric "diabesity" prevention program that overcomes existing barriers to the translation of efficacious interventions into effective community programs.

Trial registration: ClinicalTrials.gov, NCT02421198 on April 15, 2015.

Figures

Fig. 1
Fig. 1
EPIC Kids Study design, recruitment, procedures
Fig. 2
Fig. 2
EPIC Kids mobile screen shot – home page for week 3 activities
Fig. 3
Fig. 3
EPIC Kids mobile screen shot – goal-setting and self-monitoring tool

References

    1. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011–2012. J Am Med Assoc. 2014;311(8):806–14. doi: 10.1001/jama.2014.732.
    1. Herman KM, Craig CL, Gauvin L, Katzmarzyk PT. Tracking of obesity and physical activity from childhood to adulthood: the physical activity longitudinal study. Int J Pediatr Obes. 2009;4(4):281–8. doi: 10.3109/17477160802596171.
    1. Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med. 1997;337(13):869–73. doi: 10.1056/NEJM199709253371301.
    1. Epstein LH, Valoski A, Wing RR, McCurley J. Ten-year outcomes of behavioral family-based treatment for childhood obesity. Health Psychol. 1994;13(5):373–83. doi: 10.1037/0278-6133.13.5.373.
    1. Wilfley DE, Tibbs TL, Van Buren DJ, Reach KP, Walker MS, Epstein LH. Lifestyle interventions in the treatment of childhood overweight: a meta-analytic review of randomized controlled trials. Health Psychol. 2007;26(5):521–32. doi: 10.1037/0278-6133.26.5.521.
    1. Satterfield DW, Volansky M, Caspersen CJ, Engelgau MM, Bowman BA, Gregg EW, et al. Community-based lifestyle interventions to prevent type 2 diabetes. Diabetes Care. 2003;26(9):2643–52. doi: 10.2337/diacare.26.9.2643.
    1. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393–403. doi: 10.1056/NEJMoa012512.
    1. Ackermann RT, Finch EA, Caffrey HM, Lipscomb ER, Hays LM, Saha C. Long-term effects of a community-based lifestyle intervention to prevent type 2 diabetes: the DEPLOY extension pilot study. Chronic Illn. 2011;7(4):279–90. doi: 10.1177/1742395311407532.
    1. Tuomilehto J, Schwarz P, Lindstrom J. Long-term benefits from lifestyle interventions for type 2 diabetes prevention: time to expand the efforts. Diabetes Care. 2011;34(Suppl 2):S210–4. doi: 10.2337/dc11-s222.
    1. Golan M, Kaufman V, Shahar DR. Childhood obesity treatment: targeting parents exclusively v. parents and children. Br J Nutr. 2006;95(5):1008–15. doi: 10.1079/BJN20061757.
    1. Shrewsbury VA, Steinbeck KS, Torvaldsen S, Baur LA. The role of parents in pre-adolescent and adolescent overweight and obesity treatment: a systematic review of clinical recommendations. Obes Rev. 2011;12(10):759–69. doi: 10.1111/j.1467-789X.2011.00882.x.
    1. McGovern L, Johnson JN, Paulo R, Hettinger A, Singhal V, Kamath C, et al. Clinical review: treatment of pediatric obesity: a systematic review and meta-analysis of randomized trials. J Clin Endocrinol Metab. 2008;93(12):4600–5. doi: 10.1210/jc.2006-2409.
    1. Cruz ML, Shaibi GQ, Weigensberg MJ, Spruijt-Metz D, Ball GD, Goran MI. Pediatric obesity and insulin resistance: chronic disease risk and implications for treatment and prevention beyond body weight modification. Annu Rev Nutr. 2005;25:435–68. doi: 10.1146/annurev.nutr.25.050304.092625.
    1. Golan M, Crow S. Parents are key players in the prevention and treatment of weight-related problems. Nutr Rev. 2004;62(1):39–50. doi: 10.1111/j.1753-4887.2004.tb00005.x.
    1. Wilfley DE, Vannucci A, White EK. Early intervention of eating- and weight-related problems. J Clin Psychol Med Settings. 2010;17(4):285–300. doi: 10.1007/s10880-010-9209-0.
    1. Ackermann RT, Finch EA, Brizendine E, Zhou H, Marrero DG. Translating the Diabetes Prevention Program into the community. The DEPLOY pilot study. Am J Prev Med. 2008;35(4):357–63. doi: 10.1016/j.amepre.2008.06.035.
    1. Jolliffe CJ, Janssen I. Development of age-specific adolescent metabolic syndrome criteria that are linked to the adult treatment panel III and International Diabetes Federation criteria. J Am Coll Cardiol. 2007;49(8):891–8. doi: 10.1016/j.jacc.2006.08.065.
    1. Foster GD, Sundal D, McDermott C, Jelalian E, Lent MR, Vojta D. Feasibility and preliminary outcomes of a scalable, community-based treatment of childhood obesity. Pediatrics. 2012;130(4):652–9. doi: 10.1542/peds.2012-0344.
    1. Institute of Medicine (IOM). Accelerating progress in obesity prevention: solving the weight of the nation. The National Academies Press. 2012. . Accessed 15 June 2015.
    1. Barlow SE. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics. 2007;120(Suppl 4):S164–92. doi: 10.1542/peds.2007-2329C.
    1. Epstein LH, Paluch RA, Roemmich JN, Beecher MD. Family-based obesity treatment, then and now: twenty-five years of pediatric obesity treatment. Health Psychol. 2007;26(4):381–91. doi: 10.1037/0278-6133.26.4.381.
    1. Michie S, Johnston M, Francis J, Hardeman W, Eccles M. From theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques. Appl Psychol. 2008;57(4):660–80. doi: 10.1111/j.1464-0597.2008.00341.x.
    1. Faith MS, Van Horn L, Appel LJ, Burke LE, Carson JA, Franch HA, et al. Evaluating parents and adult caregivers as “agents of change” for treating obese children: evidence for parent behavior change strategies and research gaps: a scientific statement from the American Heart Association. Circulation. 2012;125(9):1186–207. doi: 10.1161/CIR.0b013e31824607ee.
    1. Kelders SM, Kok RN, Ossebaard HC, Van Gemert-Pijnen JE. Persuasive system design does matter: a systematic review of adherence to web-based interventions. J Med Internet Res. 2012;14(6):e152. doi: 10.2196/jmir.2104.
    1. Morgan DL. Focus groups as qualitative research. 2. London: Sage Publications; 1997.
    1. Hingle M, Nichter M, Medeiros M, Grace S. Texting for health: the use of participatory methods to develop healthy lifestyle messages for teens. J Nutr Educ Behav. 2013;45(1):12–9. doi: 10.1016/j.jneb.2012.05.001.
    1. Aronson ID, Marsch LA, Acosta MC. Using findings in multimedia learning to inform technology-based behavioral health interventions. Transl Behav Med. 2013;3(3):234–43. doi: 10.1007/s13142-012-0137-4.
    1. Going S, Hingle M, Orr B, Hongu K, Merchant N, Nichter M, et al. Stealth health: youth innovation, mobile technology, online social networking, and informal learning to promote physical activity. J Nutr Educ Behav. 2012;44(4):S89–S90. doi: 10.1016/j.jneb.2012.03.226.
    1. Finch EA, Kelly MS, Marrero DG, Ackermann RT. Training YMCA wellness instructors to deliver an adapted version of the Diabetes Prevention Program lifestyle intervention. Diabetes Educ. 2009;35(2):224–8. doi: 10.1177/0145721709331420.
    1. Katula JA, Vitolins MZ, Rosenberger EL, Blackwell CS, Morgan TM, Lawlor MS, et al. One-year results of a community-based translation of the Diabetes Prevention Program: Healthy-Living Partnerships to Prevent Diabetes (HELP PD) Project. Diabetes Care. 2011;34(7):1451–7. doi: 10.2337/dc10-2115.
    1. Anderson JW, Konz EC, Frederich RC, Wood CL. Long-term weight-loss maintenance: a meta-analysis of US studies. Am J Clin Nutr. 2001;74(5):579–84.
    1. Jeffery RW, Wing RR, Mayer RR. Are smaller weight losses or more achievable weight loss goals better in the long term for obese patients? J Consult Clin Psychol. 1998;66(4):641–5. doi: 10.1037/0022-006X.66.4.641.
    1. Goldschmidt AB, Stein RI, Saelens BE, Theim KR, Epstein LH, Wilfley DE. Importance of early weight change in a pediatric weight management trial. Pediatrics. 2011;128(1):e33–e9. doi: 10.1542/peds.2010-2814.
    1. Hirschler V, Aranda C, Calcagno Mde L, Maccalini G, Jadzinsky M. Can waist circumference identify children with the metabolic syndrome? Arch Pediatr Adolesc Med. 2005;159(8):740–4. doi: 10.1001/archpedi.159.8.740.
    1. Harrington DM, Staiano AE, Broyles ST, Gupta AK, Katzmarzyk PT. Waist circumference measurement site does not affect relationships with visceral adiposity and cardiometabolic risk factors in children. Pediatr Obes. 2013;8(3):199–206. doi: 10.1111/j.2047-6310.2012.00106.x.
    1. Cole TJ, Faith MS, Pietrobelli A, Heo M. What is the best measure of adiposity change in growing children: BMI, BMI %, BMI z-score or BMI centile? Eur J Clin Nutr. 2005;59(3):419–25. doi: 10.1038/sj.ejcn.1602090.
    1. Feskanich D, Sielaff BH, Chong K, Buzzard IM. Computerized collection and analysis of dietary intake information. Comput Methods Programs Biomed. 1989;30(1):47–57. doi: 10.1016/0169-2607(89)90122-3.
    1. Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26(14):1557–65. doi: 10.1080/02640410802334196.
    1. Domel S, Thompson W, Davis H, Baranowski T, Leonard S, Baranowski J. Psychosocial predictors of fruit and vegetable consumption among elementary school children. Health Educ Res. 1996;11(3):299–308. doi: 10.1093/her/11.3.299.
    1. Thompson D, Bhatt R, Lazarus M, Cullen K, Baranowski J, Baranowski T. A serious video game to increase fruit and vegetable consumption among elementary aged youth (Squire’s Quest! II): rationale, design, and methods. JMIR Res Protoc. 2012;1(2):e19. doi: 10.2196/resprot.2348.
    1. Jago R, Baranowski T, Watson K, Bachman C, Baranowski JC, Thompson D, et al. Development of new physical activity and sedentary behavior change self-efficacy questionnaires using item response modeling. Int J Behav Nutr Phys Act. 2009;6(1):20. doi: 10.1186/1479-5868-6-20.
    1. Deci EL, Ryan RM. Intrinsic motivation and self-determination in human behavior. New York: Kluwer Academic/Plenum Publishing Co; 1985.
    1. Grolnick WS, Ryan RM, Deci EL. Inner resources for school achievement: motivational mediators of children’s perceptions of their parents. J Educ Psychol. 1991;83(4):508. doi: 10.1037/0022-0663.83.4.508.
    1. Ihmels MA, Welk GJ, Eisenmann JC, Nusser SM, Myers EF. Prediction of BMI change in young children with the family nutrition and physical activity (FNPA) screening tool. Ann Behav Med. 2009;38(1):60–8. doi: 10.1007/s12160-009-9126-3.
    1. Musher-Eizenman D, Holub S. Comprehensive feeding practices questionnaire: validation of a new measure of parental feeding practices. J Pediatr Psychol. 2007;32(8):960–72. doi: 10.1093/jpepsy/jsm037.
    1. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9. doi: 10.1007/BF00280883.
    1. Turchiano M, Sweat V, Fierman A, Convit A. Obesity, metabolic syndrome, and insulin resistance in urban high school students of minority race/ethnicity. Arch Pediatr Adolesc Med. 2012;166(11):1030–6. doi: 10.1001/archpediatrics.2012.1263.
    1. Bonora E, Targher G, Alberiche M, Bonadonna RC, Saggiani F, Zenere MB, et al. Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity. Diabetes Care. 2000;23(1):57–63. doi: 10.2337/diacare.23.1.57.
    1. Ascaso JF, Pardo S, Real JT, Lorente RI, Priego A, Carmena R. Diagnosing insulin resistance by simple quantitative methods in subjects with normal glucose metabolism. Diabetes Care. 2003;26(12):3320–5. doi: 10.2337/diacare.26.12.3320.
    1. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics. 2004;114(2 Suppl 4th Repor):555–76. doi: 10.1542/peds.114.2.S2.555.
    1. Morris NM, Udry JR. Validation of a self-administered instrument to assess stage of adolescent development. J Youth Adolesc. 1980;9(3):271–80. doi: 10.1007/BF02088471.
    1. Tanner JM. Growth at adolescence. 2. London: Oxford Blackwell Scientific Publication; 1962.
    1. Jelalian E, Lloyd-Richardson EE, Mehlenbeck RS, Hart CN, Flynn-O’Brien K, Kaplan J, et al. Behavioral weight control treatment with supervised exercise or peer-enhanced adventure for overweight adolescents. J Pediatr. 2010;157(6):923–8. doi: 10.1016/j.jpeds.2010.05.047.
    1. Kalarchian MA, Levine MD, Arslanian SA, Ewing LJ, Houck PR, Cheng Y, et al. Family-based treatment of severe pediatric obesity: randomized, controlled trial. Pediatrics. 2009;124(4):1060–8. doi: 10.1542/peds.2008-3727.
    1. Ho M, Garnett SP, Baur LA, Burrows T, Stewart L, Neve M, et al. Impact of dietary and exercise interventions on weight change and metabolic outcomes in obese children and adolescents: a systematic review and meta-analysis of randomized trials. JAMA Pediatr. 2013;167(8):759–68. doi: 10.1001/jamapediatrics.2013.1453.
    1. Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32:56–69. doi: 10.1093/epirev/mxq004.
    1. Krishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health. 2009;15(3):231–40. doi: 10.1089/tmj.2008.0099.
    1. Ali MK, Echouffo-Tcheugui J, Williamson DF. How effective were lifestyle interventions in real-world settings that were modeled on the Diabetes Prevention Program? Health Aff (Millwood) 2012;31(1):67–75. doi: 10.1377/hlthaff.2011.1009.
    1. Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89(9):1322–7. doi: 10.2105/AJPH.89.9.1322.
    1. D’Adamo E, Caprio S. Type 2 diabetes in youth: epidemiology and pathophysiology. Diabetes Care. 2011;34(Suppl 2):S161–5. doi: 10.2337/dc11-s212.
    1. Speiser PW, Rudolf MC, Anhalt H, Camacho-Hubner C, Chiarelli F, Eliakim A, et al. Childhood obesity. J Clin Endocrinol Metab. 2005;90(3):1871–87. doi: 10.1210/jc.2004-1389.

Source: PubMed

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