Ehealth technologies to support nutrition and physical activity behaviors in diabetes self-management

Diabetes, Metabolic Syndrome and Obesity

Volumn 9, Issue , 2016, Pages 381-390

  Rollo, Megan E ^a   Aguiar, Elroy J ^b   Williams, Rebecca L ^a   Wynne, Katie ^c   Kriss, Michelle ^c   Callister, Robin ^a   Collins, Clare E ^a  

^a UNIVERSITY OF NEWCASTLE   (Australia)

^b UNIVERSITY OF MASSACHUSETTS   (United States)

^c JOHN HUNTER HOSPITAL   (Australia)

Author keywords

Diabetes self management; EHealth; Nutrition; Physical activity; Smartphones; Wearables

Indexed keywords

ARTICLE; AUGMENTED REALITY; CARBOHYDRATE DIET; CLINICAL EFFECTIVENESS; CLINICAL PRACTICE; CLINICAL RESEARCH; COMPUTER VISION; DIABETES MELLITUS; DIETARY INTAKE; HEALTH BEHAVIOR; HEALTH CARE UTILIZATION; HUMAN; INFORMATION PROCESSING; MOBILE APPLICATION; MOBILE PHONE; NUTRITION; NUTRITIONAL ASSESSMENT; PHYSICAL ACTIVITY; PORTABLE EQUIPMENT; RANDOMIZED CONTROLLED TRIAL (TOPIC); SELF CARE; SMARTPHONE; TELEHEALTH; TEXT MESSAGING; VIDEO GAME; VIRTUAL REALITY;

EID: 84995611007     PISSN: None     EISSN: 11787007     Source Type: Journal    
DOI: 10.2147/DMSO.S95247     Document Type: Article

References (87)

1. Chen L, Magliano DJ, Zimmet PZ. The worldwide epidemiology of type 2 diabetes mellitus –present and future perspectives. Nat Rev Endocrinol. 2012;8(4):228–236.
2. NCD Risk Factor Collaboration. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet. 2016;387(10027):1513–1530.
3. Naghavi M, Wang H, Lozano R, et al. Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;385(9963):117–171.
4. Diabetes Australia. Diabetes in Australia; 2015. Available from https://www.diabetesaustralia.com.au/diabetes-in-australia. Accessed May 18, 2016.
5. Xu Y, Wang L, He J, et al; 2010 China Noncommunicable Disease Surveillance Group. Prevalence and control of diabetes in Chinese adults. JAMA. 2013;310(9):948–959.
6. Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87(1): 4–14.
7. Hannon TS, Arslanian SA. The changing face of diabetes in youth: lessons learned from studies of type 2 diabetes. Ann N Y Acad Sci. 2015;1353(1):113–137.
8. Kaminski BM, Klingensmith GJ, Beck RW, et al. Body mass index at the time of diagnosis of autoimmune type 1 diabetes in children. J Pediatr. 2013; 162(4):736–740.
9. Cleland S, Fisher B, Colhoun H, Sattar N, Petrie J. Insulin resistance in type 1 diabetes: what is ‘double diabetes’ and what are the risks? Diabetologia. 2013;56(7):1462–1470.
10. Dabelea D, Mayer-Davis EJ, Saydah S, et al; SEARCH for Diabetes in Youth Study. Prevalence of type 1 and type 2 diabetes among children and adolescents from 2001 to 2009. JAMA. 2014;311(17): 1778–1786.
11. Kitagawa T, Owada M, Urakami T, Yamauchi K. Increased incidence of non-insulin dependent diabetes mellitus among Japanese schoolchildren correlates with an increased intake of animal protein and fat. Clin Pediatr. 1998;37(2):111–115.
12. SEARCH for Diabetes in Youth Study Group; Liese AD, D’Agostino RB Jr, Hamman RF, et al. The burden of diabetes mellitus among US youth: prevalence estimates from the SEARCH for diabetes in youth study. Pediatrics. 2006;118(4):1510–1518.
13. Dabelea D, Bell RA, D’Agostino RB Jr, et al. Incidence of diabetes in youth in the United States. JAMA. 2007;297(24):2716–2724.
14. Li C, Ford ES, Zhao G, Mokdad AH. Prevalence of pre-diabetes and its association with clustering of cardiometabolic risk factors and hyperinsulinemia among US adolescents National Health and Nutrition Examination Survey 2005–2006. Diabetes Care. 2009;32(2): 342–347.
15. Hillier TA, Pedula KL, Schmidt MM, Mullen JA, Charles M-A, Pettitt DJ. Childhood obesity and metabolic imprinting the ongoing effects of maternal hyperglycemia. Diabetes Care. 2007;30(9):2287–2292.
16. Constantino MI, Molyneaux L, Limacher-Gisler F, et al. Long-term complications and mortality in young-onset diabetes type 2 diabetes is more hazardous and lethal than type 1 diabetes. Diabetes Care. 2013;36(12):3863–3869.
17. Dabelea D, Snell-Bergeon JK, Hartsfield CL, et al; Kaiser Permanente of Colorado GDM Screening Program. Increasing prevalence of gestational diabetes mellitus (GDM) over time and by birth Cohort Kaiser Permanente of Colorado GDM screening program. Diabetes Care. 2005;28(3):579–584.
18. Lawrence JM, Contreras R, Chen W, Sacks DA. Trends in the prevalence of preexisting diabetes and gestational diabetes mellitus among a racially/ethnically diverse population of pregnant women, 1999–2005. Diabetes Care. 2008;31(5):899–904.
19. Getahun D, Nath C, Ananth CV, Chavez MR, Smulian JC. Gestational diabetes in the United States: temporal trends 1989 through 2004. Am J Obstet Gynecol. 2008;198(5):e521–e525.
20. Pettitt DJ, Baird HR, Aleck KA, Bennett PH, Knowler WC. Excessive obesity in offspring of Pima Indian women with diabetes during pregnancy. N Engl J Med. 1983;308(5):242–245.
21. Dabelea D, Hanson RL, Lindsay RS, et al. Intrauterine exposure to diabetes conveys risks for type 2 diabetes and obesity: a study of discordant sibships. Diabetes. 2000;49(12):2208–2211.
22. Powers MA, Bardsley J, Cypress M, et al. Diabetes self-management education and support in type 2 diabetes a joint position statement of the American Diabetes Association, the American Association of diabetes educators, and the academy of nutrition and dietetics. Diabetes Educ. 2015;41(4):417–430.
23. Look AHEAD Research Group; Wing RR, Bolin P, Brancati FL, et al. Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes. N Engl J Med. 2013;369(2):145.
24. Williamson DF, Thompson TJ, Thun M, Flanders D, Pamuk E, Byers T. Intentional weight loss and mortality among overweight individuals with diabetes. Diabetes Care. 2000;23(10):1499–1504.
25. Gregg EW, Gerzoff RB, Thompson TJ, Williamson DF. Trying to lose weight, losing weight, and 9-year mortality in overweight US adults with diabetes. Diabetes Care. 2004;27(3):657–662.
26. Waugh N, Cummins E, Royle P, et al. Newer agents for blood glucose control in type 2 diabetes: systematic review and economic evaluation. Health Technol Assess. 2010;14(36):1–248.
27. Association AD. Standards of medical care in diabetes –2010. Diabetes Care. 2010;33(suppl 1):S11–S61.
28. Haas L, Maryniuk M, Beck J, et al. National standards for diabetes selfmanagement education and support. Diabetes Care. 2013;36(suppl 1): S100–S108.
29. Savoca MR, Miller CK, Quandt SA. Profiles of people with type 2 diabetes mellitus: the extremes of glycemic control. Soc Sci Med. 2004;58(12):2655–2666.
30. Forbes A. The Organisation & Delivery of Diabetes Services in the UK: A Scoping Exercise. London: School of Nursing and Midwifery, King’s College London; 2010.
31. Frost J, Garside R, Cooper C, Britten N. A qualitative synthesis of diabetes self-management strategies for long term medical outcomes and quality of life in the UK. BMC Health Serv Res. 2014;14(1):1.
32. American Diabetes Association. 3. Foundations of care and comprehensive medical evaluation. Diabetes Care. 2016;39(suppl 1):S23–S35.
33. Haas L, Maryniuk M, Beck J, et al. National standards for diabetes self-management education and support. Diabetes Care. 2012;35(11):2393–2401.
34. van Gemert-Pijnen EWCJ, Nijland N, van Limburg M, et al. A holistic framework to improve the uptake and impact of eHealth technologies. J Med Internet Res. 2011;13(4):e111.
35. Poushter J [webpage on the Internet]. Smartphone Ownership and Internet Usage Continues to Climb in Emerging Economies; 2016. Available from: http://www.pewglobal.org/2016/02/22/smartphone-ownershipand-internet-usage-continues-to-climb-in-emerging-economies/. Accessed May 16, 2016.
36. Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth research: a decade of evolution. J Med Internet Res. 2013;15(5):e95.
37. El-Gayar O, Timsina P, Nawar N, Eid W. A systematic review of IT for diabetes self-management: are we there yet? Int J Med Inform. 2013;82(8):637–652.
38. Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines. J Med Internet Res. 2011;13(3):e65.
39. Hale K, Capra S, Bauer J. A framework to assist health professionals in recommending high-quality apps for supporting chronic disease self-management: illustrative assessment of type 2 diabetes apps. JMIR Mhealth Uhealth. 2015;3(3):e87.
40. Fitzner K, Moss G. Telehealth –an effective delivery method for diabetes self-management education? Popul Health Manag. 2013;16(3):169–177.
41. Pereira K, Phillips B, Johnson C, Vorderstrasse A. Internet delivered diabetes self-management education: a review. Diabetes Technol Ther. 2015;17(1):55–63.
42. Carolan-Olah M, Steele C, Krenzin G. Development and initial testing of a GDM information website for multi-ethnic women with GDM. BMC Pregnancy Childbirth. 2015;15:145.
43. Glasgow RE, Kurz D, King D, et al. Outcomes of minimal and moderate support versions of an internet-based diabetes self-management support program. J Gen Intern Med. 2010;25(12):1315–1322.
44. Glasgow RE, Kurz D, King D, et al. Twelve-month outcomes of an Internet-based diabetes self-management support program. Patient Educ Couns. 2012;87(1):81–92.
45. van Vugt M, de Wit M, Cleijne WHJJ, Snoek FJ. Use of behavioral change techniques in web-based self-management programs for type 2 diabetes patients: systematic review. J Med Internet Res. 2013;15(12):e279.
46. Smith A [webpage on the Internet]. U.S. Smartphone Use in 2015; 2016. Available from: http://www.pewinternet.org/2015/04/01/ussmartphone- use-in-2015/. Accessed May 16, 2016.
47. Perez S [webpage on the Internet]. Consumers spend 85% of time on smartphones in apps, but only 5 apps see heavy use; 2015. Available from: http://techcrunch.com/2015/06/22/consumers-spend-85-of-timeon- smartphones-in-apps-but-only-5-apps-see-heavy-use/. Accessed May 16, 2016.
48. Burner E, Menchine M, Taylor E, Arora S. Gender differences in diabetes self-management: a mixed-methods analysis of a mobile health intervention for inner-city Latino patients. J Diabetes Sci Technol. 2013;7(1):111–118.
49. Nundy S, Mishra A, Hogan P, Lee SM, Solomon MC, Peek ME. How do mobile phone diabetes programs drive behavior change? Evidence from a mixed methods observational cohort study. Diabetes Educ. 2014;40(6):806–819.
50. Waki K, Fujita H, Uchimura Y, et al. DialBetics: a novel smartphonebased self-management support system for type 2 diabetes patients. J Diabetes Sci Technol. 2014;8(2):209–215.
51. Arnhold M, Quade M, Kirch W. Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. J Med Internet Res. 2014;16(4):e104.
52. El-Gayar O, Timsina P, Nawar N, Eid W. Mobile applications for diabetes self-management: status and potential. J Diabetes Sci Technol. 2013;7(1):247–262.
53. Rollo ME, Ash S, Lyons-Wall P, Russell A. Trial of a mobile phone method for recording dietary intake in adults with type 2 diabetes: evaluation and implications for future applications. J Telemed Telecare. 2011;17(6):318–323.
54. Rollo ME, Ash S, Lyons-Wall P, Russell AW. Evaluation of a mobile phone image-based dietary assessment method in adults with type 2 diabetes. Nutrients. 2015;7(6):4897–4910.
55. Anthimopoulos M, Dehais J, Shevchik S, et al. Computer vision-based carbohydrate estimation for type 1 patients with diabetes using smartphones. J Diabetes Sci Technol. 2015;9(3):507–515.
56. Waki K, Aizawa K, Fujita H, et al. DialBetics with a multimedia food recording tool, FoodLog: smartphone based self-management for type 2 diabetes. Diabetes Technol Therap. 2015;17:A136–A137.
57. Rhyner D, Loher H, Dehais J, et al. Carbohydrate estimation by a mobile phone-based system versus self-estimations of individuals with type 1 diabetes mellitus: a comparative study. J Med Internet Res. 2016;18(5):e101.
58. Kempf K, Martin S. Autonomous exercise game use improves metabolic control and quality of life in type 2 diabetes patients –a randomized controlled trial. BMC Endocr Disord. 2013;13(1):57–75.
59. Campbell A, Fernandez M, Mensign C, Imershein S. Health Games: Engaging People in Positive Lifestyle and Nutrition Behaviours through Social Media; Practical Diabetology. 2012;31(1):30–32.
60. Rosal MC, Heyden R, Mejilla R, Rizzo DePaoli M, Veerappa C, Wiecha JM. Design and methods for a comparative effectiveness pilot study: virtual world vs. face-to-face diabetes self-management. JMIR Res Protoc. 2012;1(2):e24.
61. Ruggiero L, Moadsiri A, Quinn LT, et al. Diabetes island: preliminary impact of a virtual world self-care educational intervention for African Americans with type 2 diabetes. JMIR Serious Games. 2014;2(2):e10.
62. Stutz T, Dinic R, Domhardt M, Ginzinger S. Can mobile augmented reality systems assist in portion estimation? A user study. Paper presented at: 2014 IEEE International Symposium on Mixed and Augmented Reality –Media, Art, Social Science, Munich, Germany. Humanities and Design (ISMAR-MASH’D); September 10–12, 2014.
63. Domhardt M, Tiefengrabner M, Dinic R, et al. Training of carbohydrate estimation for people with diabetes using mobile augmented reality. J Diabetes Sci Technol. 2015;9(3):516–524.
64. Qiu S, Cai X, Chen X, Yang B, Sun Z. Step counter use in type 2 diabetes: a meta-analysis of randomized controlled trials. BMC Med. 2014;12:36.
65. Arsand E, Muzny M, Bradway M, Muzik J, Hartvigsen G. Performance of the first combined smartwatch and smartphone diabetes diary application study. J Diabetes Sci Technol. 2015;9(3):556–563.
66. Wilkinson A, Whitehead L, Ritchie L. Factors influencing the ability to self-manage diabetes for adults living with type 1 or 2 diabetes. Int J Nurs Stud. 2014;51(1):111–122.
67. Dobson KG, Hall P. A pilot study examining patient attitudes and intentions to adopt assistive technologies into type 2 diabetes selfmanagement. J Diabetes Sci Technol. 2015;9(2):309–315.
68. Norman DC, Skinner AH. eHealth literacy: essential skills for consumer health in a networked world. J Med Internet Res. 2006;8(2):e9.
69. Neter E, Brainin E. eHealth literacy: extending the digital divide to the realm of health information. J Med Internet Res. 2012;14(1):e19.
70. Luijkx K, Peek S, Wouters E. “Grandma, you should do it –it’s cool” older adults and the role of family members in their acceptance of technology. Int J Environ Res Public Health. 2015;12(12):15470–15485.
71. Tan CCL, Cheng KKF, Wang W. Self-care management programme for older adults with diabetes: an integrative literature review. Int J Nurs Pract. 2015;21(S2):115–124.
72. Vuong AM, Huber JC Jr, Bolin JN, et al. Factors affecting acceptability and usability of technological approaches to diabetes self-management: a case study. Diabetes Technol Ther. 2012;14(12):1178–1182.
73. Ancker JS, Witteman HO, Hafeez B, Provencher T, Van de Graaf M, Wei E. “You get reminded you’re a sick person”: personal data tracking and patients with multiple chronic conditions. J Med Internet Res. 2015;17(8):e202.
74. The World Bank [webpage on the Internet]. Internet users as percentage of population; 2016. Available from: https://www.google.com/publicdata/explore?ds=d5bncppjof8f9_&met_y=it_net_user_p2&hl=en&dl=en&idim=country:USA:CAN:GBR#!ctype=l&strail=false&bcs=d&nselm=h&met_y=it_net_user_p2&scale_y=lin&ind_y=false&rdim=region&idim=country:USA:CAN:GBR:AUS&ifdim=region&tdim=true&hl=en_US&dl=en&ind=false. Accessed May 3, 2016.
75. Lunden I [webpage on the Internet]. 6.1B Smartphone Users Globally By 2020, Overtaking Basic Fixed Phone Subscriptions; 2015. Available from: http://techcrunch.com/2015/06/02/6-1b-smartphoneusers-globally-by-2020-overtaking-basic-fixed-phone-subscriptions/. Accessed May 4, 2016.
76. Evenson KR, Goto MM, Furberg RD. Systematic review of the validity and reliability of consumer-wearable activity trackers. Int J Behav Nutr Phys Act. 2015;12:159.
77. Gibbons MC, Fleisher L, Slamon RE, Bass S, Kandadai V, Beck JR. Exploring the potential of web 2.0 to address health disparities. J Health Commun. 2011;16(sup1):77–89.
78. Roblin DW. The potential of cellular technology to mediate social networks for support of chronic disease self-management. J Health Commun. 2011;16(sup1):59–76.
79. Rosal MC, Heyden R, Mejilla R, et al. A virtual world versus face-toface intervention format to promote diabetes self-management among African American women: a pilot randomized clinical trial. JMIR Res Protoc. 2014;3(4):e54.
80. Wayne N, Perez DF, Kaplan DM, Ritvo P. Health coaching reduces HbA1c in type 2 diabetic patients from a lower-socioeconomic status community: a randomized controlled trial. J Med Internet Res. 2015;17(10):e224.
81. Lucas H. New technology and illness self-management: potential relevance for resource-poor populations in Asia. Soc Sci Med. 2015;145:145–153.
82. Collins LM, Murphy SA, Bierman KL. A conceptual framework for adaptive preventive interventions. Prev Sci. 2004;5(3):185–196.
83. Heintzman ND. A digital ecosystem of diabetes data and technology: services, systems, and tools enabled by wearables, sensors, and apps. J Diabetes Sci Technol. 2016;10(1):35–41.
84. Spruijt-Metz D, Wen CK, O’Reilly G, et al. Innovations in the use of interactive technology to support weight management. Curr Obes Rep. 2015;4(4):510–519.
85. Collins K. Eye tracking in VR headsets is the future, and it’s starting now. 2016. Accessed May, 2016.
86. Almirall D, Nahum-Shani I, Sherwood NE, Murphy SA. Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research. Transl Behav Med. 2014;4(3):260–274.
87. Sherwood NE, Butryn ML, Forman EM, et al. The BestFIT trial: a SMART approach to developing individualized weight loss treatments. Contemp Clin Trials. 2016;47:209–216.