Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Minority Preadolescents: Protocol for a Pilot Randomized Control Trial

May May Leung, Katrina F Mateo, Sandra Verdaguer, Katarzyna Wyka, May May Leung, Katrina F Mateo, Sandra Verdaguer, Katarzyna Wyka

Abstract

Background: Childhood obesity is a public health crisis, particularly in low-income, minority populations in the United States. Innovative and technology-enhanced interventions may be an engaging approach to reach at-risk youth and their parents to improve dietary behaviors and feeding practices. However, such tools are limited, especially ones that are theory-based; co-developed with user-centered approaches; tailored to low-income, minority preadolescents; and include parent-focused content.

Objective: The objectives of this study include assessing the feasibility and acceptability and exploring the potential impact of the Intervention INC (Interactive Nutrition Comics for urban, minority preadolescents) Web-based tool, which is focused on decreasing childhood obesity risk in black/African American and Latino children aged 9 to 12 years.

Methods: Intervention INC is underpinned by the narrative transportation theory, social cognitive theory, and health belief model, and it was co-developed by children and parents from the intended population. The child component consists of a 6-chapter interactive nutrition comic optimized for use on tablet devices, a goal-setting and self-assessment feature, and weekly text/email messages and reminders. The parental component consists of 6 Web-based newsletters, access to the child comic, and weekly text/email messages and reminders. The tool was evaluated using a pilot, single-blind, 2-group randomized controlled study design. Child-parent dyads were randomized to either the experimental or comparison group and assigned to a targeted behavior (increase fruit/vegetable or water intake) based on initial screening questions. Data were collected at 4 time points: baseline (T1), intervention midpoint (T2), intervention endpoint (T3), and 3 months postintervention (T4). Primary measures comprise usage, usability, and feasibility of the Web-based tool. Secondary measures comprise dietary knowledge, preferences, and intake and anthropometric measures (for child) and feeding practices and home food environment (for parent).

Results: Study enrollment was completed in November 2017. A total of 89 child-parent dyads were randomized to either the experimental (n=44) or comparison (n=45) group. Data analysis is currently being conducted.

Conclusions: This study aims to implement and assess an innovative approach to deliver health messages and resources to at-risk minority preadolescents and their parents. If found to be acceptable, engaging, feasible, and a potential approach to improve dietary behaviors, a full-fledged randomized controlled trial will be conducted to assess its efficacy and potential impact.

Trial registration: ClinicalTrials.gov NCT03165474; https://ichgcp.net/clinical-trials-registry/NCT03165474 (Archived by WebCite at http://www.webcitation.org/73122IjgP).

International registered report identifier (irrid): RR1-10.2196/10682.

Keywords: child; diet; mHealth; minority; parents; pediatric obesity; vulnerable populations.

Conflict of interest statement

Conflicts of Interest: None declared.

©May May Leung, Katrina F Mateo, Sandra Verdaguer, Katarzyna Wyka. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 09.11.2018.

Figures

Figure 1
Figure 1
Study design of Intervention INC.
Figure 2
Figure 2
Conceptual framework of Intervention INC. BMI: body mass index; HBM: health belief model; NTT: narrative transportation theory; SCT: social cognitive theory.
Figure 3
Figure 3
Experimental group (child) website homepage (top left) and snapshot of the comic (bottom left) and comparison group (child) Web-based newsletter example (right).
Figure 4
Figure 4
Experimental group (child) goal-setting component (top) with link in the character message at the end of each comic chapter (top left), list of goals (top center), and goal-specific tip (top right) and comparison group (child) goal-setting component (bottom) with link in the Web-based newsletter (bottom left), list of goals (bottom center), and goal-specific tip (bottom right).
Figure 5
Figure 5
Examples of text messages sent to children in the experimental group (left) and comparison group (right).
Figure 6
Figure 6
Examples of Web-based newsletters sent to parents in the experimental group (left) and comparison group (right).

References

    1. Ogden CL, Carroll MD, Fakhouri TH, Hales CM, Fryar CD, Li X, Freedman DS. Prevalence of obesity among youths by household income and education level of head of household - United States 2011-2014. MMWR Morb Mortal Wkly Rep. 2018 Feb 16;67(6):186–89. doi: 10.15585/mmwr.mm6706a3. doi: 10.15585/mmwr.mm6706a3.
    1. Skinner AC, Perrin EM, Moss LA, Skelton JA. Cardiometabolic risks and severity of obesity in children and young adults. N Engl J Med. 2015 Oct;373(14):1307–17. doi: 10.1056/NEJMoa1502821.
    1. Goran MI, Ball GD, Cruz ML. Obesity and risk of type 2 diabetes and cardiovascular disease in children and adolescents. J Clin Endocrinol Metab. 2003 Apr;88(4):1417–27. doi: 10.1210/jc.2002-021442.
    1. Reilly JJ, Kelly J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes. 2011 Jul;35(7):891–8. doi: 10.1038/ijo.2010.222.
    1. Danaei G, Ding EL, Mozaffarian D, Taylor B, Rehm J, Murray CJ, Ezzati M. The preventable causes of death in the United States: comparative risk assessment of dietary, lifestyle, and metabolic risk factors. PLoS Med. 2009 Apr 28;6(4):e1000058. doi: 10.1371/journal.pmed.1000058.
    1. Freedman DS, Khan LK, Dietz WH, Srinivasan SR, Berenson GS. Relationship of childhood obesity to coronary heart disease risk factors in adulthood: the Bogalusa Heart Study. Pediatrics. 2001 Sep;108(3):712–8.
    1. Leung MM, Tripicchio G, Agaronov A, Hou N. Manga comic influences snack selection in Black and Hispanic New York City youth. J Nutr Educ Behav. 2014;46(2):142–7. doi: 10.1016/j.jneb.2013.11.004.
    1. Leung MM, Green MC, Tate DF, Cai J, Wyka K, Ammerman AS. Fight for your right to fruit: psychosocial outcomes of a manga comic promoting fruit consumption in middle-school youth. Health Commun. 2017 May;32(5):533–40. doi: 10.1080/10410236.2016.1211074.
    1. Branscum P, Housley A, Bhochhibhoya A, Hayes L. A formative evaluation of Healthy Heroes: a photo comic book-social cognitive theory based obesity prevention program. J Health Educ Teach. 2016;7(1):52–63.
    1. Lee H, Fawcett J, DeMarco R. Storytelling/narrative theory to address health communication with minority populations. Appl Nurs Res. 2016 May;30:58–60. doi: 10.1016/j.apnr.2015.09.004.
    1. Houston TK, Allison JJ, Sussman M, Horn W, Holt CL, Trobaugh J, Salas M, Pisu M, Cuffee YL, Larkin D, Person SD, Barton B, Kiefe CI, Hullett S. Culturally appropriate storytelling to improve blood pressure: a randomized trial. Ann Intern Med. 2011 Jan 18;154(2):77–84. doi: 10.7326/0003-4819-154-2-201101180-00004.
    1. Kreuter MW, Green MC, Cappella JN, Slater MD, Wise ME, Storey D, Clark EM, O'Keefe DJ, Erwin DO, Holmes K, Hinyard LJ, Houston T, Woolley S. Narrative communication in cancer prevention and control: a framework to guide research and application. Ann Behav Med. 2007 Jun;33(3):221–35. doi: 10.1080/08836610701357922.
    1. Larkey LK, Lopez AM, Minnal A, Gonzalez J. Storytelling for promoting colorectal cancer screening among underserved Latina women: a randomized pilot study. Cancer Control. 2009 Jan;16(1):79–87. doi: 10.1177/107327480901600112.
    1. Rideout V, Foehr U, Roberts D. Kaiser Family Foundation. 2010. [2018-10-08]. Generation M2: Media in the Lives of 8- to 18-Year-Olds
    1. Weihrauch-Blüher S, Koormann S, Brauchmann J, Wiegand S. Electronic media in obesity prevention in childhood and adolescence. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2016 Nov;59(11):1452–64. doi: 10.1007/s00103-016-2455-z.
    1. Baranowski T, Frankel L. Let's get technical! Gaming and technology for weight control and health promotion in children. Child Obes. 2012 Feb;8(1):34–7. doi: 10.1089/chi.2011.0103.
    1. Wang Y, Fadhil A, Lange JP, Reiterer H. Arxiv. [2018-10-03]. Towards a Holistic Approach to Designing Theory-based Mobile Health Interventions .
    1. Tate EB, Spruijt-Metz D, O'Reilly G, Jordan-Marsh M, Gotsis M, Pentz MA, Dunton GF. mHealth approaches to child obesity prevention: successes, unique challenges, and next directions. Transl Behav Med. 2013 Dec;3(4):406–15. doi: 10.1007/s13142-013-0222-3.
    1. Tufano JT, Karras BT. Mobile eHealth interventions for obesity: a timely opportunity to leverage convergence trends. J Med Internet Res. 2005;7(5):e58. doi: 10.2196/jmir.7.5.e58.
    1. Khaylis A, Yiaslas T, Bergstrom J, Gore-Felton C. A review of efficacious technology-based weight-loss interventions: five key components. Telemed J E Health. 2010 Nov;16(9):931–8. doi: 10.1089/tmj.2010.0065.
    1. Flores Mateo G, Granado-Font E, Ferré-Grau C, Montaña-Carreras X. Mobile phone apps to promote weight loss and increase physical activity: a systematic review and meta-analysis. J Med Internet Res. 2015;17(11):e253. doi: 10.2196/jmir.4836.
    1. Cullen KW, Thompson D, Chen TA. Outcome evaluation of Family Eats. Health Educ Behav. 2017 Dec;44(1):32–40. doi: 10.1177/1090198116643917.
    1. Chamberland K, Sanchez M, Panahi S, Provencher V, Gagnon J, Drapeau V. The impact of an innovative web-based school nutrition intervention to increase fruits and vegetables and milk and alternatives in adolescents: a clustered randomized trial. Int J Behav Nutr Phys Act. 2017 Dec 16;14(1):140. doi: 10.1186/s12966-017-0595-7.
    1. Kaakinen P, Kyngäs H, Kääriäinen M. Technology-based counseling in the management of weight and lifestyles of obese or overweight children and adolescents: a descriptive systematic literature review. Inform Health Soc Care. 2018 Mar;43(2):126–41. doi: 10.1080/17538157.2017.1353997.
    1. Antwi F, Fazylova N, Garcon MC, Lopez L, Rubiano R, Slyer JT. The effectiveness of web-based programs on the reduction of childhood obesity in school-aged children: a systematic review. JBI Libr Syst Rev. 2012;10(42 Suppl):1–14. doi: 10.11124/jbisrir-2012-248.
    1. Brotman LM, Dawson-McClure S, Huang KY, Theise R, Kamboukos D, Wang J, Petkova E, Ogedegbe G. Early childhood family intervention and long-term obesity prevention among high-risk minority youth. Pediatrics. 2012 Mar;129(3):e621–8. doi: 10.1542/peds.2011-1568.
    1. Van Horn L, Obarzanek E, Friedman LA, Gernhofer N, Barton B. Children's adaptations to a fat-reduced diet: the Dietary Intervention Study in Children (DISC) Pediatrics. 2005 Jun;115(6):1723–33. doi: 10.1542/peds.2004-2392.
    1. Barkin SL, Gesell SB, Po'e EK, Escarfuller J, Tempesti T. Culturally tailored, family-centered, behavioral obesity intervention for Latino-American preschool-aged children. Pediatrics. 2012 Sep;130(3):445–56. doi: 10.1542/peds.2011-3762.
    1. Robinson TN, Matheson DM, Kraemer HC, Wilson DM, Obarzanek E, Thompson NS, Alhassan S, Spencer TR, Haydel KF, Fujimoto M, Varady A, Killen JD. A randomized controlled trial of culturally tailored dance and reducing screen time to prevent weight gain in low-income African American girls: Stanford GEMS. Arch Pediatr Adolesc Med. 2010 Nov;164(11):995–1004. doi: 10.1001/archpediatrics.2010.197.
    1. Falbe J, Cadiz AA, Tantoco NK, Thompson HR, Madsen KA. Active and healthy families: a randomized controlled trial of a culturally tailored obesity intervention for Latino children. Acad Pediatr. 2015;15(4):386–95. doi: 10.1016/j.acap.2015.02.004.
    1. Barrera M, Castro FG, Strycker LA, Toobert DJ. Cultural adaptations of behavioral health interventions: a progress report. J Consult Clin Psychol. 2013 Apr;81(2):196–205. doi: 10.1037/a0027085.
    1. Victorson D, Banas J, Smith J, Languido L, Shen E, Gutierrez S, Cordero E, Flores L. eSalud: designing and implementing culturally competent ehealth research with latino patient populations. Am J Public Health. 2014 Dec;104(12):2259–65. doi: 10.2105/AJPH.2014.302187.
    1. Kreuter MW, Lukwago SN, Bucholtz RD, Clark EM, Sanders-Thompson V. Achieving cultural appropriateness in health promotion programs: targeted and tailored approaches. Health Educ Behav. 2003 Apr;30(2):133–46. doi: 10.1177/1090198102251021.
    1. Davis RE, Peterson KE, Rothschild SK, Resnicow K. Pushing the envelope for cultural appropriateness: does evidence support cultural tailoring in type 2 diabetes interventions for Mexican American adults? Diabetes Educ. 2011;37(2):227–38. doi: 10.1177/0145721710395329.
    1. Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of obesity among adults and youth: United States, 2015-2016. NCHS Data Brief. 2017 Dec;(288):1–8.
    1. Nicklaus S, Boggio V, Chabanet C, Issanchou S. A prospective study of food variety seeking in childhood, adolescence and early adult life. Appetite. 2005 Jun;44(3):289–97. doi: 10.1016/j.appet.2005.01.006.
    1. Birch L, Savage JS, Ventura A. Influences on the development of children's eating behaviours: from infancy to adolescence. Can J Diet Pract Res. 2007;68(1):s1–s56.
    1. Mikkilä V, Räsänen L, Raitakari OT, Pietinen P, Viikari J. Consistent dietary patterns identified from childhood to adulthood: the cardiovascular risk in Young Finns Study. Br J Nutr. 2005 Jun;93(6):923–31.
    1. Demory-Luce D, Morales M, Nicklas T, Baranowski T, Zakeri I, Berenson G. Changes in food group consumption patterns from childhood to young adulthood: the Bogalusa Heart Study. J Am Diet Assoc. 2004 Nov;104(11):1684–91. doi: 10.1016/j.jada.2004.07.026.
    1. Turner T, Spruijt-Metz D, Wen CK, Hingle MD. Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review. Pediatr Obes. 2015 Dec;10(6):403–9. doi: 10.1111/ijpo.12002.
    1. Hammersley ML, Jones RA, Okely AD. Parent-focused childhood and adolescent overweight and obesity eHealth interventions: a systematic review and meta-analysis. J Med Internet Res. 2016 Jul 21;18(7):e203. doi: 10.2196/jmir.5893.
    1. Smith AJ, Skow A, Bodurtha J, Kinra S. Health information technology in screening and treatment of child obesity: a systematic review. Pediatrics. 2013 Mar;131(3):e894–902. doi: 10.1542/peds.2012-2011.
    1. Lee J, Piao M, Byun A, Kim J. A systematic review and meta-analysis of intervention for pediatric obesity using mobile technology. Stud Health Technol Inform. 2016;225:491–4.
    1. Banfield EC, Liu Y, Davis JS, Chang S, Frazier-Wood AC. Poor adherence to US dietary guidelines for children and adolescents in the national health and nutrition examination survey population. J Acad Nutr Diet. 2016 Jan;116(1):21–7. doi: 10.1016/j.jand.2015.08.010.
    1. Moss JL, Liu B, Zhu L. Comparing percentages and ranks of adolescent weight-related outcomes among U.S. states: implications for intervention development. Prev Med. 2017 Dec;105:109–15. doi: 10.1016/j.ypmed.2017.09.006.
    1. Kenney EL, Long MW, Cradock AL, Gortmaker SL. Prevalence of inadequate hydration among US children and disparities by gender and race/ethnicity: national health and nutrition examination survey, 2009-2012. Am J Public Health. 2015 Aug;105(8):e113–8. doi: 10.2105/AJPH.2015.302572.
    1. Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract. 2004 May;10(2):307–12. doi: 10.1111/j.2002.384.doc.x.
    1. Denzin NK, Lincoln YS. The SAGE Handbook of Qualitative Research. Thousand Oaks, CA: SAGE Publications; 2011.
    1. Saghaei M. QMinim. [2018-10-03]. QMinim Online Minimization .
    1. Cohn N, Taylor-Weiner A, Grossman S. Framing attention in Japanese and American comics: cross-cultural differences in attentional structure. Front Psychol. 2012;3:349. doi: 10.3389/fpsyg.2012.00349. doi: 10.3389/fpsyg.2012.00349.
    1. Green MC, Clark JL. Transportation into narrative worlds: implications for entertainment media influences on tobacco use. Addiction. 2013 Mar;108(3):477–84. doi: 10.1111/j.1360-0443.2012.04088.x.
    1. Green MC, Brock TC. Narrative Impact: Social and Cognitive Foundations. Mahwah, NJ: Lawrence Erlbaum Associates Publishers; 2002. In the mind's eye: Transportation-imagery model of narrative persuasion; pp. 315–41.
    1. Lytle L, Achterberg C. Changing the diet of America's children: what works and why? J Nutr Educ. 1995 Sep;27(5):250–60. doi: 10.1016/S0022-3182(12)80793-X.
    1. Green MC, Garst J, Brock TC. The Psychology of Entertainment Media: Blurring the Lines between Entertainment and Persuasion. Mahwah, NJ: Lawrence Erlbaum Associates Publishers; 2004. The power of fiction: determinants and boundaries; pp. 161–76.
    1. Cole K, Waldrop J, D'Auria J, Garner H. An integrative research review: effective school-based childhood overweight interventions. J Spec Pediatr Nurs. 2006 Jul;11(3):166–77. doi: 10.1111/j.1744-6155.2006.00061.x.
    1. Glanz K, Rimer BK, Viswanath K. Health Behavior and Health Education: Theory, Research, and Practice. San Francisco, CA: John Wiley & Sons, Incorporated; 2008.
    1. Annesi JJ, Walsh SM, Greenwood BL, Mareno N, Unruh-Rewkowski JL. Effects of the Youth Fit 4 Life physical activity/nutrition protocol on body mass index, fitness and targeted social cognitive theory variables in 9- to 12-year-olds during after-school care. J Paediatr Child Health. 2017 Apr;53(4):365–73. doi: 10.1111/jpc.13447.
    1. McAlister AL, Perry CL, Parcel GS. Health Behavior and Health Education: Theory, Research, and Practice. 4th Edition. San Francisco, CA: Jossey-Bass; 2008. How individuals, environments, and health behavior interact: social cognitive theory; p. 978.
    1. Branscum P, Sharma M, Wang LL, Wilson BR, Rojas-Guyler L. A true challenge for any superhero: an evaluation of a comic book obesity prevention program. Fam Community Health. 2013;36(1):63–76. doi: 10.1097/FCH.0b013e31826d7607.
    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. Thompson D, Baranowski T, Buday R, Baranowski J, Thompson V, Jago R, Griffith MJ. Serious video games for health how behavioral science guided the development of a serious video game. Simul Gaming. 2010 Aug 1;41(4):587–606. doi: 10.1177/1046878108328087.
    1. Brooke J. SUS: A quick and dirty usability scale. J Usability Stud. 2013;8(2):29–40.
    1. Lund A. Measuring usability with the USE Questionnaire. Usability User Exp Newsl STC Usability SIG. 2001;8
    1. Ben-Zeev D, Brenner CJ, Begale M, Duffecy J, Mohr DC, Mueser KT. Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia. Schizophr Bull. 2014 Nov;40(6):1244–53. doi: 10.1093/schbul/sbu033.
    1. Bowen DJ, Kreuter M, Spring B, Cofta-Woerpel L, Linnan L, Weiner D, Bakken S, Kaplan CP, Squiers L, Fabrizio C, Fernandez M. How we design feasibility studies. Am J Prev Med. 2009 May;36(5):452–7. doi: 10.1016/j.amepre.2009.02.002.
    1. Tickle-Degnen L. Nuts and bolts of conducting feasibility studies. Am J Occup Ther. 2013;67(2):171–6. doi: 10.5014/ajot.2013.006270.
    1. De Bourdeaudhuij I, Klepp KI, Due P, Rodrigo CP, de Almeida M, Wind M, Krølner R, Sandvik C, Brug J. Reliability and validity of a questionnaire to measure personal, social and environmental correlates of fruit and vegetable intake in 10-11-year-old children in five European countries. Public Health Nutr. 2005 Apr;8(2):189–200.
    1. Reynolds KD, Yaroch AL, Franklin FA, Maloy J. Testing mediating variables in a school-based nutrition intervention program. Health Psychol. 2002 Jan;21(1):51–60.
    1. Youth Risk Behavior Surveillance System, Data, Adolescent and School Health. CDC; .
    1. Neuhouser ML, Lilley S, Lund A, Johnson DB. Development and validation of a beverage and snack questionnaire for use in evaluation of school nutrition policies. J Am Diet Assoc. 2009 Sep;109(9):1587–92. doi: 10.1016/j.jada.2009.06.365.
    1. Melbye EL, Øgaard T, Øverby NC. Validation of the Comprehensive Feeding Practices Questionnaire with parents of 10-to-12-year-olds. BMC Med Res Methodol. 2011 Aug 09;11:113. doi: 10.1186/1471-2288-11-113.
    1. Gattshall ML, Shoup JA, Marshall JA, Crane LA, Estabrooks PA. Validation of a survey instrument to assess home environments for physical activity and healthy eating in overweight children. Int J Behav Nutr Phys Act. 2008 Jan 11;5:3. doi: 10.1186/1479-5868-5-3.
    1. Wilmoth S, Pan M, Correa L, Martinez E, Mendoza R, Sosa E, Yin Z, He M. A summer obesity prevention program for Hispanic kids and families through vacation bible school: a pilot study. J Child Obes. 2018 Feb 16;3(1) doi: 10.21767/2572-5394.100042.
    1. Glover S, Piper CN, Hassan R, Preston G, Wilkinson L, Bowen-Seabrook J, Meyer-Davis B, Williams S. Dietary, physical activity, and lifestyle behaviors of rural African American South Carolina children. J Natl Med Assoc. 2011 Apr;103(4):300–4.
    1. Racine EF, Coffman MJ, Chrimes DA, Laditka SB. Evaluation of the Latino food and Fun curriculum for low-income Latina mothers and their children: a pilot study. Hisp Health Care Int. 2013;11(1):31–7. doi: 10.1891/1540-4153.11.1.31.
    1. Majumdar D, Koch PA, Lee H, Contento IR, Islas-Ramos AD, Fu D. "Creature-101": a serious game to promote energy balance-related behaviors among middle school adolescents. Games Health J. 2013 Oct;2(5):280–90. doi: 10.1089/g4h.2013.0045.
    1. National Health and Medical Research Council . [2018-10-03]. Clinical practice guidelines for the management of overweight and obesity in adults, adolescents and children in Australia .
    1. CDC. [2018-10-03]. BMI Calculator Child and Teen, Healthy Weight .
    1. Otterbach L, Mena NZ, Greene G, Redding CA, De Groot A, Tovar A. Community-based childhood obesity prevention intervention for parents improves health behaviors and food parenting practices among Hispanic, low-income parents. BMC Obes. 2018;5:11. doi: 10.1186/s40608-018-0188-2.
    1. Harris TS, Ramsey M. Paternal modeling, household availability, and paternal intake as predictors of fruit, vegetable, and sweetened beverage consumption among African American children. Appetite. 2015 Feb;85:171–7. doi: 10.1016/j.appet.2014.11.008.
    1. Heerman WJ, JaKa MM, Berge JM, Trapl ES, Sommer EC, Samuels LR, Jackson N, Haapala JL, Kunin-Batson AS, Olson-Bullis BA, Hardin HK, Sherwood NE, Barkin SL. The dose of behavioral interventions to prevent and treat childhood obesity: a systematic review and meta-regression. Int J Behav Nutr Phys Act. 2017 Dec 15;14(1):157. doi: 10.1186/s12966-017-0615-7.
    1. Taki S, Lymer S, Russell CG, Campbell K, Laws R, Ong K, Elliott R, Denney-Wilson E. Assessing user engagement of an mHealth intervention: development and implementation of the growing healthy app engagement index. JMIR Mhealth Uhealth. 2017 Jun 29;5(6):e89. doi: 10.2196/mhealth.7236.
    1. Tian H, Brimmer DJ, Lin JS, Tumpey AJ, Reeves WC. Web usage data as a means of evaluating public health messaging and outreach. J Med Internet Res. 2009;11(4):e52. doi: 10.2196/jmir.1278.
    1. Arendt J, Wagner C. Beyond description: converting web site usage statistics into concrete site improvement ideas. J Web Librariansh. 2010;4(1):37–54. doi: 10.1080/19322900903547414.
    1. Glasgow RE, Christiansen SM, Kurz D, King DK, Woolley T, Faber AJ, Estabrooks PA, Strycker L, Toobert D, Dickman J. Engagement in a diabetes self-management website: usage patterns and generalizability of program use. J Med Internet Res. 2011;13(1):e9. doi: 10.2196/jmir.1391.
    1. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Methodol. 1995;57(1):289–300.
    1. Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005 Nov;15(9):1277–88. doi: 10.1177/1049732305276687.
    1. Nguyen B, Kornman KP, Baur LA. A review of electronic interventions for prevention and treatment of overweight and obesity in young people. Obes Rev. 2011 May;12(5):e298–314. doi: 10.1111/j.1467-789X.2010.00830.x.
    1. Faith MS, Van Horn L, Appel LJ, Burke LE, Carson JA, Franch HA, Jakicic JM, Kral TV, Odoms-Young A, Wansink B, Wylie-Rosett J. 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 Mar 6;125(9):1186–207. doi: 10.1161/CIR.0b013e31824607ee.
    1. Hoerr SL, Hughes SO, Fisher JO, Nicklas TA, Liu Y, Shewchuk RM. Associations among parental feeding styles and children's food intake in families with limited incomes. Int J Behav Nutr Phys Act. 2009 Aug 13;6:55. doi: 10.1186/1479-5868-6-55.
    1. Davison KK, Lawson HA, Coatsworth JD. The Family-centered Action Model of Intervention Layout and Implementation (FAMILI): the example of childhood obesity. Health Promot Pract. 2012 Jul;13(4):454–61. doi: 10.1177/1524839910377966.
    1. Ingoldsby EM. Review of interventions to improve family engagement and retention in parent and child mental health programs. J Child Fam Stud. 2010 Oct 01;19(5):629–45. doi: 10.1007/s10826-009-9350-2.
    1. Arvidsson S, Gilljam BM, Nygren J, Ruland CM, Nordby-Bøe T, Svedberg P. Redesign and validation of Sisom, an interactive assessment and communication tool for children with cancer. JMIR Mhealth Uhealth. 2016 Jun 24;4(2):e76. doi: 10.2196/mhealth.5715.
    1. Stålberg A, Sandberg A, Söderbäck M, Larsson T. The child's perspective as a guiding principle: young children as co-designers of an interactive application to facilitate participation in healthcare situations. J Biomed Inform. 2016 Apr 2;61:149–58. doi: 10.1016/j.jbi.2016.03.024.
    1. Ruland CM, Starren J, Vatne TM. Participatory design with children in the development of a support system for patient-centered care in pediatric oncology. J Biomed Inform. 2008 Aug;41(4):624–35. doi: 10.1016/j.jbi.2007.10.004.
    1. Rakes GC, Rakes TA, Smith LJ. Using visuals to enhance secondary students? Reading comprehension of expository texts. J Adolesc Adult Lit. 1995;39:46–54.
    1. Khanum MA, Trivedi MC. Arxiv. 2012. Dec, [2018-10-03]. Take Care: A Study on Usability Evaluation Methods for Children .
    1. Andersen MH, Khalid MS, Brooks EI. Interactivity, Game Creation, Design, Learning, and Innovation. Cham, Switzerland: Springer; 2016. Considerations and methods for usability testing with children; pp. 228–38.
    1. Stinson J, McGrath P, Hodnett E, Feldman B, Duffy C, Huber A, Tucker L, Hetherington R, Tse S, Spiegel L, Campillo S, Gill N, White M. Usability testing of an online self-management program for adolescents with juvenile idiopathic arthritis. J Med Internet Res. 2010;12(3):e30. doi: 10.2196/jmir.1349.

Source: PubMed

3
Abonnere