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

References

• 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
   Web of Science ®Google Scholar
• 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 27061677
   PubMed Web of Science ®Google Scholar
• Naghavi M Wang H Lozano R 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 25530442
   PubMed Web of Science ®Google Scholar
• Diabetes Australia Diabetes in Australia 2015 Available from https://www.diabetesaustralia.com.au/diabetes-in-australia Accessed May 18, 2016
   Google Scholar
• Xu Y Wang L He J 2010 China Noncommunicable Disease Surveillance Group Prevalence and control of diabetes in Chinese adults JAMA 2013 310 9 948 959 24002281
   PubMed Web of Science ®Google Scholar
• 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 19896746
   PubMed Web of Science ®Google Scholar
• 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 26448515
   PubMed Web of Science ®Google Scholar
• Kaminski BM Klingensmith GJ Beck RW Body mass index at the time of diagnosis of autoimmune type 1 diabetes in children J Pediatr 2013 162 4 736 740 23092524
   PubMed Web of Science ®Google Scholar
• 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 23613085
   PubMed Web of Science ®Google Scholar
• Dabelea D Mayer-Davis EJ Saydah S 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 24794371
   PubMed Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• SEARCH for Diabetes in Youth Study Group Liese AD D’Agostino RBJr Hamman RF The burden of diabetes mellitus among US youth: prevalence estimates from the SEARCH for diabetes in youth study Pediatrics 2006 118 4 1510 1518 17015542
   PubMed Web of Science ®Google Scholar
• Dabelea D Bell RA D’Agostino RBJr Incidence of diabetes in youth in the United States JAMA 2007 297 24 2716 2724 17595272
   PubMed Web of Science ®Google Scholar
• 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 18957533
   PubMed Web of Science ®Google Scholar
• 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 17519427
   PubMed Web of Science ®Google Scholar
• Constantino MI Molyneaux L Limacher-Gisler F 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 23846814
   PubMed Web of Science ®Google Scholar
• Dabelea D Snell-Bergeon JK Hartsfield CL 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 15735191
   PubMed Web of Science ®Google Scholar
• 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 18223030
   PubMed Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• 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 6848933
   PubMed Web of Science ®Google Scholar
• Dabelea D Hanson RL Lindsay RS Intrauterine exposure to diabetes conveys risks for type 2 diabetes and obesity: a study of discordant sibships Diabetes 2000 49 12 2208 2211 11118027
   PubMed Web of Science ®Google Scholar
• Powers MA Bardsley J Cypress M 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 26047627
   PubMed Web of Science ®Google Scholar
• Look AHEAD Research Group Wing RR Bolin P Brancati FL Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes N Engl J Med 2013 369 2 145 23796131
   PubMed Web of Science ®Google Scholar
• 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 11023143
   PubMed Web of Science ®Google Scholar
• 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 14988281
   PubMed Web of Science ®Google Scholar
• Waugh N Cummins E Royle P Newer agents for blood glucose control in type 2 diabetes: systematic review and economic evaluation Health Technol Assess 2010 14 36 1 248
   Web of Science ®Google Scholar
• Association AD Standards of medical care in diabetes – 2010 Diabetes Care 2010 33 suppl 1 S11 S61 20042772
   PubMed Web of Science ®Google Scholar
• Haas L Maryniuk M Beck J National standards for diabetes self-management education and support Diabetes Care 2013 36 suppl 1 S100 S108 23264420
   PubMed Web of Science ®Google Scholar
• 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 15081213
   PubMed Web of Science ®Google Scholar
• 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
   Google Scholar
• 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 24382312
   PubMed Web of Science ®Google Scholar
• American Diabetes Association 3. Foundations of care and comprehensive medical evaluation Diabetes Care 2016 39 suppl 1 S23 S35 26696676
   PubMed Web of Science ®Google Scholar
• Haas L Maryniuk M Beck J National standards for diabetes self-management education and support Diabetes Care 2012 35 11 2393 2401 22995096
   PubMed Web of Science ®Google Scholar
• van Gemert-Pijnen EWCJ Nijland N van Limburg M A holistic framework to improve the uptake and impact of eHealth technologies J Med Internet Res 2011 13 4 e111 22155738
   PubMed Web of Science ®Google Scholar
• 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-ownership-and-internet-usage-continues-to-climb-in-emerging-economies/ Accessed May 16, 2016
   Google Scholar
• Fiordelli M Diviani N Schulz PJ Mapping mHealth research: a decade of evolution J Med Internet Res 2013 15 5 e95 23697600
   PubMed Web of Science ®Google Scholar
• 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 23792137
   PubMed Web of Science ®Google Scholar
• 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 21979293
   PubMed Web of Science ®Google Scholar
• 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 26369346
   PubMed Web of Science ®Google Scholar
• Fitzner K Moss G Telehealth – an effective delivery method for diabetes self-management education? Popul Health Manag 2013 16 3 169 177 23216062
   PubMed Web of Science ®Google Scholar
• Pereira K Phillips B Johnson C Vorderstrasse A Internet delivered diabetes self-management education: a review Diabetes Technol Ther 2015 17 1 55 63 25238257
   PubMed Web of Science ®Google Scholar
• 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 26142482
   PubMed Web of Science ®Google Scholar
• Glasgow RE Kurz D King D 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 20714820
   PubMed Web of Science ®Google Scholar
• Glasgow RE Kurz D King D Twelve-month outcomes of an Internet-based diabetes self-management support program Patient Educ Couns 2012 87 1 81 92 21924576
   PubMed Web of Science ®Google Scholar
• 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 24334230
   PubMed Web of Science ®Google Scholar
• Smith A webpage on the Internet U.S. Smartphone Use in 2015 2016 Available from: http://www.pewinternet.org/2015/04/01/us-smartphone-use-in-2015/ Accessed May 16, 2016
   Google Scholar
• 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-time-on-smartphones-in-apps-but-only-5-apps-see-heavy-use/ Accessed May 16, 2016
   Google Scholar
• 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 23439166
   PubMedGoogle Scholar
• 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 25278512
   PubMed Web of Science ®Google Scholar
• Waki K Fujita H Uchimura Y DialBetics: a novel smartphone-based self-management support system for type 2 diabetes patients J Diabetes Sci Technol 2014 8 2 209 215 24876569
   PubMedGoogle Scholar
• 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 24718852
   PubMed Web of Science ®Google Scholar
• 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 23439183
   PubMedGoogle Scholar
• 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 21844173
   PubMed Web of Science ®Google Scholar
• 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 26091234
   PubMed Web of Science ®Google Scholar
• Anthimopoulos M Dehais J Shevchik S Computer vision-based carbohydrate estimation for type 1 patients with diabetes using smart-phones J Diabetes Sci Technol 2015 9 3 507 515 25883163
   PubMedGoogle Scholar
• Waki K Aizawa K Fujita H DialBetics with a multimedia food recording tool, FoodLog: smartphone based self-management for type 2 diabetes Diabetes Technol Therap 2015 17 A136 A137
   Web of Science ®Google Scholar
• Rhyner D Loher H Dehais J 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 27170498
   PubMed Web of Science ®Google Scholar
• 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 24321337
   PubMed Web of Science ®Google Scholar
• 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
   Google Scholar
• 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 23612567
   PubMedGoogle Scholar
• Ruggiero L Moadsiri A Quinn LT 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 25584346
   PubMedGoogle Scholar
• 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
   Google Scholar
• Domhardt M Tiefengrabner M Dinic R Training of carbohydrate estimation for people with diabetes using mobile augmented reality J Diabetes Sci Technol 2015 9 3 516 524 25883165
   PubMedGoogle Scholar
• 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 24571580
   PubMed Web of Science ®Google Scholar
• 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 25591859
   PubMedGoogle Scholar
• 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 23473390
   PubMed Web of Science ®Google Scholar
• Dobson KG Hall P A pilot study examining patient attitudes and intentions to adopt assistive technologies into type 2 diabetes self-management J Diabetes Sci Technol 2015 9 2 309 315 25427965
   PubMedGoogle Scholar
• Norman DC Skinner AH eHealth literacy: essential skills for consumer health in a networked world J Med Internet Res 2006 8 2 e9 16867972
   PubMed Web of Science ®Google Scholar
• Neter E Brainin E eHealth literacy: extending the digital divide to the realm of health information J Med Internet Res 2012 14 1 e19 22357448
   PubMed Web of Science ®Google Scholar
• 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 26690188
   PubMed Web of Science ®Google Scholar
• 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 26125579
   PubMed Web of Science ®Google Scholar
• Vuong AM Huber JCJr Bolin JN Factors affecting acceptability and usability of technological approaches to diabetes self-management: a case study Diabetes Technol Ther 2012 14 12 1178 1182 23013155
   PubMed Web of Science ®Google Scholar
• 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 26290186
   PubMed Web of Science ®Google Scholar
• 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
   Google Scholar
• 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-smartphone-users-globally-by-2020-overtaking-basic-fixed-phone-subscriptions/ Accessed May 4, 2016
   Google Scholar
• 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 26684758
   PubMed Web of Science ®Google Scholar
• 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 21843097
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Rosal MC Heyden R Mejilla R A virtual world versus face-to-face intervention format to promote diabetes self-management among African American women: a pilot randomized clinical trial JMIR Res Protoc 2014 3 4 e54 25344620
   PubMedGoogle Scholar
• 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 26441467
   PubMed Web of Science ®Google Scholar
• Lucas H New technology and illness self-management: potential relevance for resource-poor populations in Asia Soc Sci Med 2015 145 145 153 25464871
   PubMed Web of Science ®Google Scholar
• Collins LM Murphy SA Bierman KL A conceptual framework for adaptive preventive interventions Prev Sci 2004 5 3 185 196 15470938
   PubMed Web of Science ®Google Scholar
• 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
   Google Scholar
• Spruijt-Metz D Wen CK O’Reilly G Innovations in the use of interactive technology to support weight management Curr Obes Rep 2015 4 4 510 519 26364308
   PubMed Web of Science ®Google Scholar
• Collins K Eye tracking in VR headsets is the future, and it’s starting now 2016 Accessed May, 2016
   Google Scholar
• 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 25264466
   PubMed Web of Science ®Google Scholar
• Sherwood NE Butryn ML Forman EM The BestFIT trial: a SMART approach to developing individualized weight loss treatments Contemp Clin Trials 2016 47 209 216 26825020
   PubMed Web of Science ®Google Scholar