Who's calling for weight loss? A systematic review of mobile phone weight loss programs for adolescents

Nutrition Reviews

Volumn 73, Issue 6, 2015, Pages 386-398

  Wickham, Catherine A ^a   Carbone, Elena T ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ARTICLE; BODY MASS; COHORT ANALYSIS; FEEDBACK SYSTEM; HUMAN; INTENTION TO TREAT ANALYSIS; MOBILE PHONE; SELF MONITORING; SOCIAL INTERACTION; SYSTEMATIC REVIEW; WEIGHT LOSS PROGRAM; PEDIATRIC OBESITY; PROCEDURES; WEIGHT REDUCTION;

ADOLESCENT; BODY MASS INDEX; CELL PHONES; HUMANS; PEDIATRIC OBESITY; WEIGHT LOSS; WEIGHT REDUCTION PROGRAMS;

EID: 84954244183     PISSN: 00296643     EISSN: 17534887     Source Type: Journal    
DOI: 10.1093/nutrit/nuu018     Document Type: Article

References (55)

1. U.S. Department of Health and Human Services. Office of Disease Prevention and Health Promotion. Healthy People 2020. Washington, DC. http://www.healthypeople. gov/2020/topicsobjectives2020/objectiveslist.aspx?topicId=29#144171. Accessed September 28, 2013.
2. Centers for Disease Control and Prevention. Basics About Childhood Obesity. http://www.cdc.gov/obesity/childhood/basics.html. Accessed September 28, 2013.
3. Ogden CL, Carroll MD, Kit BK, et al. Prevalence of obesity in the United States, 2009-2010. NCHS Data Brief. 2012;82:1-8.
4. Ogden CL, Carroll MD, Kit BK, et al. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA. 2012;307:483-490.
5. Must A, Strauss RS. Risks and consequences of childhood and adolescent obesity. Int J Obes Relat Metab Disord. 1999;23:S2-S11.
6. Reilly JJ, Methven E, McDowell ZC, et al. Health consequences of obesity. Arch Dis Child. 2003;88:748-752.
7. Dietz WH. Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics. 1998;101:518-525.
8. Freedman DS, Dietz WH, Srinivasan SR, et al. Risk factors and adult body mass index among overweight children: the Bogalusa Heart Study. Pediatrics. 2009;123:750-757.
9. Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. Am J Clin Nutr. 1999;70:145s-148s.
10. Craigie AM, Lake AA, Kelly SA, et al. Tracking of childhood overweight into adulthood: a systematic review of the literature. Maturitas. 2011;70:266-284.
11. National Institutes of Health. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults-the evidence report. Obes Res. 1998;6:51S-209S.
12. Stice E, Shaw H, Marti CN. A meta-analytic review of obesity prevention programs for children and adolescents: the skinny on interventions that work. Psychol Bull. 2006;132:667-691.
13. Haynos AF, O'Donohue WT. Universal childhood and adolescent obesity prevention programs: review and critical analysis. Clin Psychol Rev. 2012;32:383-399.
14. Seo DC, Sa J. A meta-analysis of obesity interventions among US minority children. J Adolesc Health. 2010;46:309-323.
15. Oude Luttikhuis H, Baur L, Jansen H, et al. Interventions for treating obesity in children. Cochrane Database Syst Rev. 2009;1:CD001872.
16. Whitlock EP, O'Connor EA, Williams SB, et al. Effectiveness of weight management interventions in children: a targeted systematic review for the USPSTF. Pediatrics. 2010;125:e396-e418.
17. Poobala AS, Aucott LS, Precious E, et al. Weight loss interventions in young people (18 to 25 year olds): a systematic review. Obes Rev. 2010;11:580-592.
18. Coons MJ, DeMott A, Duncan JM, et al. Technology interventions to curb obesity: a systematic review of the current literature. Curr Cardiovasc Ris Rep. 2012;6:120-134.
19. Wadden TA, Butryn ML, Byrne KJ. Efficacy of lifestyle modification for long-term weight control. Obes Rev. 2004;12:151S-162S.
20. Rao G, Burke LE, Spring BJ, et al. New and emerging weight management strategies for busy ambulatory settings: a scientific statement from the American Heart Association. Circulation. 2011;124:1182-1203.
21. Madden M, Lenhart A, Duggan M, et al. Teens and technology 2013. Pew Internet & American Life Project, March 13, 2013. http://www.pewinternet.org/Reports/2013/Teens-and-Tech.aspx. Accessed September 28, 2013.
22. Lenhart A. Teens, smartphones&texting. Pew Internet&American Life Project, March 19, 2012. http://www.pewinternet.org/2012/03/19/teens-smartphonestexting/. Accessed September 28, 2013.
23. Nielsen NewsWire. New mobile obsession U.S. teens triple data usage. http://www.nielsen.com/us/en/newswire/2011/new-mobile-obsession-u-s-teens-triple-data-usage.html. Accessed November 1, 2013.
24. Buhi ER, Trudnak TE, Martinasek MP, et al. Mobile phone-based behavioral interventions for health: a systematic review. Health Educ J. 2013;72:564-583.
25. MedlinePlus Bethesda (MD): National Library of Medicine (US). Adolescent Development. Available at: http://www.nlm.nih.gov/medlineplus/ency/article/002003.htm. Accessed April 1, 2014.
26. Luna B. Developmental changes in cognitive control through adolescence. Adv Child Dev Behav. 2009;37:233-278.
27. Moher D, Liberati A, Tetzlaff J, et al. The PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009;6:e1000097.
28. Resnicow K, Taylor R, Baskin M, et al. Results of Go Girls: a weight control program for overweight African-American adolescent females. Obes Res. 2005;13:1739-1748.
29. Scottish Intercollegiate Network. Critical Appraisal: Notes and Checklists. http://sign.ac.uk/methodology/checklists.html. Accessed October 3, 2013.
30. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomized and non-randomized studies of health care interventions. J Epidemiol Community Health. 1998;52:377-384.
31. Shaw R, Bosworth H. Short message service (SMS) text messaging as an intervention medium for weight loss: a literature review. Health Informatics J. 2012;18:235-250.
32. Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32:56-69.
33. Nguyen B, Shrewsbury VA, O'Connor J, et al. Twelve-month outcomes of the Loozit randomized controlled trial: a community-based healthy lifestyle program for overweight and obese adolescents. Arch Pediatr Adolesc Med. 2012;166:170-177.
34. Lubans DR, Morgan PJ, Okely AD, et al. Preventing obesity among adolescent girls: one-year outcomes of the Nutrition and Enjoyable Activity for Teen Girls (NEAT Girls) cluster randomized controlled trial. Arch Pediatr Adolesc Med. 2012;166:821-827.
35. Newton KH, Wiltshire EJ, Elley CR. Pedometers and text messaging to increase physical activity: randomized controlled trial of adolescents with type 1 diabetes. Diabetes Care. 2009;32:813-815.
36. Nguyen B, Shrewsbury VA, O'Connor J, et al. Two-year outcomes of an adjunctive telephone coaching and electronic contact intervention for adolescent weight-loss maintenance: the Loozit randomized controlled trial. Int J Obes. 2013;37:468-472.
37. Patrick K, Norman GJ, Davila EP, et al. Outcomes of a 12-month technology-based intervention to promote weight loss in adolescents at risk for type 2 diabetes. J Diabetes Sci Technol. 2013;7:759-770.
38. Schiel R, Kaps A, Bieber G, et al. Identification of determinants for weight reduction in overweight and obese children and adolescents. J Telemed Telecare. 2010;16:368-373.
39. Schiel R, Kaps A, Bieber G. Electronic health technology for the assessment of physical activity and eating habits in children and adolescents with overweight and obesity IDA. Appetite. 2012;58:432-437.
40. Woolford SJ, Clark SJ, Strecher VJ, et al. Tailored mobile phone text messages as an adjunct to obesity treatment for adolescents. J Telemed Telecare. 2010;16:458-461.
41. Woolford SJ, Barr KL, Derry HA, et al. OMG do not say LOL: obese adolescents' perspectives on the content of text messages to enhance weight loss efforts. Obesity. 2011;19:2382-2387.
42. Boutelle KN, Hannan PJ, Neumark-Sztainer D, et al. Identification and correlates of weight loss in adolescents in a national sample. Obesity. 2007;15:473-482.
43. Krebs NF, Himes JH, Jacobson D, et al. Assessment of child and adolescent overweight and obesity. Pediatrics. 2007;120:S193-S228.
44. Brown J. Nutrition Through the Life Cycle, 5th ed. Stamford, CT: Cengage Learning; 2014.
45. Wang Y, Chen HJ. Use of percentiles and z-scores in anthropometry. In Handbook of Anthropometry. New York: Springer; 2012.
46. Patrick K, Raab F, Adams MA, et al. A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res. 2009;11:e1, doi: 10.2196/jmir.1100.
47. Haapala I, Barengo NC, Biggs S, et al. Weight loss by mobile phone: a 1-year effectiveness study. Public Health Nutr. 2009;12:2382-2391.
48. Wing RR, Hill JO. Successful weight loss maintenance. Annu Rev Nutr. 2001;21:323-341.
49. Sciamanna CN, Kiernan M, Rolls BJ, et al. Practices associated with weight loss versus weight-loss maintenance: results of a national survey. Am J Prev Med. 2011;41:159-166.
50. Briefel RR, Sempos CT, McDowell MA, et al. Dietary methods research in the third National Health and Nutrition Examination Survey: underreporting of energy intake. Am J Clin Nutr. 1997;65:1203S-1209S.
51. Johnson RK. Dietary intake-how do we measure what people are really eating? Obesity Res. 2002;10:63S-68S.
52. Militello LK, Kelly SA, Melnyk BM. Systematic review of text-messaging interventions to promote healthy behaviors in pediatric and adolescent populations: implications for clinical practice and research. Worldviews Evid Based Nurs. 2012;9:66-77.
53. Fox S. Pew Internet: Health. http://www.pewinternet.org/Commentary/2011/November/Pew-Internet-Health.aspx. Accessed November 1, 2013.
54. Fox S, Maeve D. Tracking for Health. Pew Research Center's Internet & American Life Project. http://www.pewinternet.org/~/media/Files/Reports/2013/PIP_TrackingforHealth%20with%20appendix.pdf. Accessed November 1, 2013.
55. Schnall R, Okoniewski A, Tiase V, et al. Using text messaging to assess adolescents' health information needs: an ecological momentary assessment. J Med Internet Res. 2013;15:e54, doi: 10.2196/jmir.2395.