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Published in: Current Diabetes Reports 5/2014

01-05-2014 | Obesity (J McCaffery, Section Editor)

Review of Innovations in Digital Health Technology to Promote Weight Control

Authors: J. Graham Thomas, Dale S. Bond

Published in: Current Diabetes Reports | Issue 5/2014

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Abstract

Advances in technology have contributed to the obesity epidemic and worsened health by reducing opportunities for physical activity and by the proliferation of inexpensive calorie-dense foods. However, much of the same technology can be used to counter these troublesome trends by fostering the development and maintenance of healthy eating and physical activity habits. In contrast to intensive face-to-face treatments, technology-based interventions also have the potential to reach large numbers of individuals at low cost. The purpose of this review is to discuss studies in which digital technology has been used for behavioral weight control, report on advances in consumer technology that are widely adopted but insufficiently tested, and explore potential future directions for both. Web-based, mobile (eg, smartphone), virtual reality, and gaming technologies are the focus of discussion. The best evidence exists to support the use of digital technology for self-monitoring of weight-related behaviors and outcomes. However, studies are underway that will provide additional, important information regarding how best to apply digital technology for behavioral weight control.
Literature
1.
go back to reference Freeman C, Louçã F. As time goes by: from the industrial revolutions to the information revolution. New York: Oxford University Press; 2001. Freeman C, Louçã F. As time goes by: from the industrial revolutions to the information revolution. New York: Oxford University Press; 2001.
2.
go back to reference Parker JC, Thorson E. Health communication in the new media landscape. New York: Springer Publishing; 2009. Parker JC, Thorson E. Health communication in the new media landscape. New York: Springer Publishing; 2009.
3.
go back to reference Hill JO, Peters JC. Environmental contributions to the obesity epidemic. Science. 1998;280:1371–4.PubMedCrossRef Hill JO, Peters JC. Environmental contributions to the obesity epidemic. Science. 1998;280:1371–4.PubMedCrossRef
4.
go back to reference Haskell WL, Lee IM, Pate RR, et al. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation. 2007;116:1081–93.PubMedCrossRef Haskell WL, Lee IM, Pate RR, et al. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation. 2007;116:1081–93.PubMedCrossRef
5.
go back to reference Centers for Disease Control and Prevention (CDC). Prevalence of regular physical activity among adults—United States, 2001 and 2005. Morb Mortal Wkly Rep. 2007;56:1209–12. Centers for Disease Control and Prevention (CDC). Prevalence of regular physical activity among adults—United States, 2001 and 2005. Morb Mortal Wkly Rep. 2007;56:1209–12.
6.
go back to reference Ford ES, Kohl HW, Mokdad AH, Ajani UA. Sedentary behavior, physical activity, and the metabolic syndrome among U.S. adults. Obes Res. 2005;13:608–14.PubMedCrossRef Ford ES, Kohl HW, Mokdad AH, Ajani UA. Sedentary behavior, physical activity, and the metabolic syndrome among U.S. adults. Obes Res. 2005;13:608–14.PubMedCrossRef
7.
go back to reference Malik VS, Willett WC, Hu FB. Global obesity: trends, risk factors and policy implications. Nat Rev Endocrinol. 2013;9:13–27.PubMedCrossRef Malik VS, Willett WC, Hu FB. Global obesity: trends, risk factors and policy implications. Nat Rev Endocrinol. 2013;9:13–27.PubMedCrossRef
8.
go back to reference Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among us adults, 1999–2010. JAMA. 2012;307:491–7.PubMedCrossRef Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among us adults, 1999–2010. JAMA. 2012;307:491–7.PubMedCrossRef
9.
go back to reference Withrow D, Alter DA. The economic burden of obesity worldwide: a systematic review of the direct costs of obesity. Obes Rev. 2011;12:131–41.PubMedCrossRef Withrow D, Alter DA. The economic burden of obesity worldwide: a systematic review of the direct costs of obesity. Obes Rev. 2011;12:131–41.PubMedCrossRef
10.
go back to reference Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M. Health and economic burden of the projected obesity trends in the USA and the UK. Lancet. 2011;378:815–25.PubMedCrossRef Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M. Health and economic burden of the projected obesity trends in the USA and the UK. Lancet. 2011;378:815–25.PubMedCrossRef
11.
go back to reference Simon GE, Von Korff M, Saunders K, et al. Association between obesity and psychiatric disorders in the US adult population. Arch Gen Psychiatry. 2006;63:824–30.PubMedCentralPubMedCrossRef Simon GE, Von Korff M, Saunders K, et al. Association between obesity and psychiatric disorders in the US adult population. Arch Gen Psychiatry. 2006;63:824–30.PubMedCentralPubMedCrossRef
13.
go back to reference Tsai AG, Wadden TA, Volger S, et al. Cost-effectiveness of a primary care intervention to treat obesity. Int J Obes. 2013;37 Suppl 1:S31–7.CrossRef Tsai AG, Wadden TA, Volger S, et al. Cost-effectiveness of a primary care intervention to treat obesity. Int J Obes. 2013;37 Suppl 1:S31–7.CrossRef
14.
go back to reference Lee JS, Sheer JL, Lopez N, Rosenbaum S. Coverage of obesity treatment: a state-by-state analysis of Medicaid and state insurance laws. Public Health Rep. 2010;125:596–604.PubMedCentralPubMed Lee JS, Sheer JL, Lopez N, Rosenbaum S. Coverage of obesity treatment: a state-by-state analysis of Medicaid and state insurance laws. Public Health Rep. 2010;125:596–604.PubMedCentralPubMed
15.
go back to reference Topol EJ, Topol EJ. The creative destruction of medicine: how the digital revolution will create better health care. New York: Basic Books; 2012. Topol EJ, Topol EJ. The creative destruction of medicine: how the digital revolution will create better health care. New York: Basic Books; 2012.
16.
18.
go back to reference File T. Computer and Internet Use in the United States. Current Population Survey Reports, U.S. Census Bureau, Washington, D.C. 2013;20–568. File T. Computer and Internet Use in the United States. Current Population Survey Reports, U.S. Census Bureau, Washington, D.C. 2013;20–568.
23.
go back to reference Calzada PJ, Anderson-Worts P. The obesity epidemic: are minority individuals equally affected? Prim Care. 2009;36:307–17.PubMedCrossRef Calzada PJ, Anderson-Worts P. The obesity epidemic: are minority individuals equally affected? Prim Care. 2009;36:307–17.PubMedCrossRef
29.
go back to reference Tate DF, Wing RR, Winett RA. Using Internet technology to deliver a behavioral weight loss program. JAMA. 2001;285:1172–7.PubMedCrossRef Tate DF, Wing RR, Winett RA. Using Internet technology to deliver a behavioral weight loss program. JAMA. 2001;285:1172–7.PubMedCrossRef
30.•
go back to reference Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011;111:92–102. This review highlights the importance of self-monitoring for weight control, and contains a discussion of the role of self-monitoring technology. The review also provides recommendations for the design of future studies to best enhance our understanding of why and how self-monitoring is effective for weight control.PubMedCentralPubMedCrossRef Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011;111:92–102. This review highlights the importance of self-monitoring for weight control, and contains a discussion of the role of self-monitoring technology. The review also provides recommendations for the design of future studies to best enhance our understanding of why and how self-monitoring is effective for weight control.PubMedCentralPubMedCrossRef
31.
go back to reference Wing RR, Crane MM, Thomas JG, Kumar R, Weinberg B. Improving weight loss outcomes of community interventions by incorporating behavioral strategies. Am J Public Health. 2010;100:2513–9.PubMedCentralPubMedCrossRef Wing RR, Crane MM, Thomas JG, Kumar R, Weinberg B. Improving weight loss outcomes of community interventions by incorporating behavioral strategies. Am J Public Health. 2010;100:2513–9.PubMedCentralPubMedCrossRef
32.
go back to reference Tate DF, Jackvony EH, Wing RR. A randomized trial comparing human e-mail counseling, computer-automated tailored counseling, and no counseling in an Internet weight loss program. Arch Intern Med. 2006;166:1620–5.PubMedCrossRef Tate DF, Jackvony EH, Wing RR. A randomized trial comparing human e-mail counseling, computer-automated tailored counseling, and no counseling in an Internet weight loss program. Arch Intern Med. 2006;166:1620–5.PubMedCrossRef
34.
go back to reference Neve M, Morgan PJ, Jones PR, Collins CE. Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes Rev. 2010;11:306–21.PubMedCrossRef Neve M, Morgan PJ, Jones PR, Collins CE. Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes Rev. 2010;11:306–21.PubMedCrossRef
35.
go back to reference Winett RA, Tate DF, Anderson ES, Wojcik JR, Winett SG. Long-term weight gain prevention: a theoretically based Internet approach. Prev Med. 2005;41:629–41.PubMedCrossRef Winett RA, Tate DF, Anderson ES, Wojcik JR, Winett SG. Long-term weight gain prevention: a theoretically based Internet approach. Prev Med. 2005;41:629–41.PubMedCrossRef
36.
go back to reference Svetkey LP, Stevens VJ, Brantley PJ, et al. Comparison of strategies for sustaining weight loss: the weight loss maintenance randomized controlled trial. JAMA. 2008;299:1139–48.PubMedCrossRef Svetkey LP, Stevens VJ, Brantley PJ, et al. Comparison of strategies for sustaining weight loss: the weight loss maintenance randomized controlled trial. JAMA. 2008;299:1139–48.PubMedCrossRef
37.
go back to reference Krukowski RA, Harvey-Berino J, Ashikaga T, Thomas CS, Micco N. Internet-based weight control: the relationship between web features and weight loss. Telemed J E Health. 2008;14:775–82.PubMedCentralPubMedCrossRef Krukowski RA, Harvey-Berino J, Ashikaga T, Thomas CS, Micco N. Internet-based weight control: the relationship between web features and weight loss. Telemed J E Health. 2008;14:775–82.PubMedCentralPubMedCrossRef
38.
go back to reference Bennett GG, Herring SJ, Puleo E, Stein EK, Emmons KM, Gillman MW. Web-based weight loss in primary care: a randomized controlled trial. Obesity. 2010;18:308–13.PubMedCentralPubMedCrossRef Bennett GG, Herring SJ, Puleo E, Stein EK, Emmons KM, Gillman MW. Web-based weight loss in primary care: a randomized controlled trial. Obesity. 2010;18:308–13.PubMedCentralPubMedCrossRef
39.
go back to reference Webber KH, Tate DF, Ward DS, Bowling JM. Motivation and its relationship to adherence to self-monitoring and weight loss in a 16-week Internet behavioral weight loss intervention. J Nutr Educ Behav. 2010;42:161–7.PubMedCrossRef Webber KH, Tate DF, Ward DS, Bowling JM. Motivation and its relationship to adherence to self-monitoring and weight loss in a 16-week Internet behavioral weight loss intervention. J Nutr Educ Behav. 2010;42:161–7.PubMedCrossRef
40.
go back to reference Tsai AG, Wadden TA. Systematic review: an evaluation of major commercial weight loss programs in the United States. Ann Intern Med. 2005;142:56–66.PubMedCrossRef Tsai AG, Wadden TA. Systematic review: an evaluation of major commercial weight loss programs in the United States. Ann Intern Med. 2005;142:56–66.PubMedCrossRef
41.
go back to reference Marcus BH, Bock BC, Pinto BM, Forsyth LH, Roberts MB, Traficante RM. Efficacy of an individualized motivationally-tailored physical activity intervention. Ann Behav Med. 1998;20:174–80.PubMedCrossRef Marcus BH, Bock BC, Pinto BM, Forsyth LH, Roberts MB, Traficante RM. Efficacy of an individualized motivationally-tailored physical activity intervention. Ann Behav Med. 1998;20:174–80.PubMedCrossRef
42.
go back to reference Kreuter MW, Bull FC, Clark EM, Oswald DL. Understanding how people process health information: a comparison of tailored and nontailored weight-loss materials. Health Psychol. 1999;18:487–94.PubMedCrossRef Kreuter MW, Bull FC, Clark EM, Oswald DL. Understanding how people process health information: a comparison of tailored and nontailored weight-loss materials. Health Psychol. 1999;18:487–94.PubMedCrossRef
43.•
go back to reference 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. This randomized controlled trial demonstrated that widely available text messaging technology can be used to produce weight loss. It also highlights the advantages of treatment tailoring and interactivity. PubMedCentralPubMedCrossRef 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. This randomized controlled trial demonstrated that widely available text messaging technology can be used to produce weight loss. It also highlights the advantages of treatment tailoring and interactivity. PubMedCentralPubMedCrossRef
44.
go back to reference Shapiro JR, Koro T, Doran N, et al. Text4Diet: a randomized controlled study using text messaging for weight loss behaviors. Prev Med. 2012;55:412–7.PubMedCrossRef Shapiro JR, Koro T, Doran N, et al. Text4Diet: a randomized controlled study using text messaging for weight loss behaviors. Prev Med. 2012;55:412–7.PubMedCrossRef
45.
go back to reference Burke LE, Styn MA, Sereika SM, et al. Using mHealth technology to enhance self-monitoring for weight loss: a randomized trial. Am J Prev Med. 2012;43:20–6.PubMedCentralPubMedCrossRef Burke LE, Styn MA, Sereika SM, et al. Using mHealth technology to enhance self-monitoring for weight loss: a randomized trial. Am J Prev Med. 2012;43:20–6.PubMedCentralPubMedCrossRef
46.
go back to reference Burke LE, Conroy MB, Sereika SM, et al. The effect of electronic self-monitoring on weight loss and dietary intake: a randomized behavioral weight loss trial. Obesity. 2011;19:338–44.PubMedCentralPubMedCrossRef Burke LE, Conroy MB, Sereika SM, et al. The effect of electronic self-monitoring on weight loss and dietary intake: a randomized behavioral weight loss trial. Obesity. 2011;19:338–44.PubMedCentralPubMedCrossRef
47.
go back to reference Burke LE, Styn MA, Glanz K, et al. SMART trial: a randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. Contemp Clin Trials. 2009;30:540–51.PubMedCentralPubMedCrossRef Burke LE, Styn MA, Glanz K, et al. SMART trial: a randomized clinical trial of self-monitoring in behavioral weight management-design and baseline findings. Contemp Clin Trials. 2009;30:540–51.PubMedCentralPubMedCrossRef
48.
go back to reference Acharya SD, Elci OU, Sereika SM, Styn MA, Burke LE. Using a personal digital assistant for self-monitoring influences diet quality in comparison to a standard paper record among overweight/obese adults. J Am Diet Assoc. 2011;111:583–8.PubMedCentralPubMedCrossRef Acharya SD, Elci OU, Sereika SM, Styn MA, Burke LE. Using a personal digital assistant for self-monitoring influences diet quality in comparison to a standard paper record among overweight/obese adults. J Am Diet Assoc. 2011;111:583–8.PubMedCentralPubMedCrossRef
49.
go back to reference Spring B, Schneider K, McFadden HG, et al. Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. Arch Intern Med. 2012;172:789–96.PubMedCentralPubMedCrossRef Spring B, Schneider K, McFadden HG, et al. Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. Arch Intern Med. 2012;172:789–96.PubMedCentralPubMedCrossRef
50.
go back to reference Thomas JG, Wing RR. Health-E-Call, a smartphone-assisted behavioral obesity treatment: pilot study. JMIR Mhealth Uhealth. 2013;1:e3.CrossRef Thomas JG, Wing RR. Health-E-Call, a smartphone-assisted behavioral obesity treatment: pilot study. JMIR Mhealth Uhealth. 2013;1:e3.CrossRef
51.••
go back to reference Pellegrini CA, Duncan JM, Moller AC, et al. A smartphone-supported weight loss program: design of the ENGAGED randomized controlled trial. BMC Public Health. 2012;12:1041. This randomized controlled trial is one of the first to use smartphone technology as a primary means of delivering behavioral weight loss treatment. The design also incorporates innovative uses of the technology for competition and peer support. PubMedCentralPubMedCrossRef Pellegrini CA, Duncan JM, Moller AC, et al. A smartphone-supported weight loss program: design of the ENGAGED randomized controlled trial. BMC Public Health. 2012;12:1041. This randomized controlled trial is one of the first to use smartphone technology as a primary means of delivering behavioral weight loss treatment. The design also incorporates innovative uses of the technology for competition and peer support. PubMedCentralPubMedCrossRef
53.•
go back to reference Breton E, Fuemmeler B, Abroms L. Weight loss—there is an app for that! But does it adhere to evidence-informed practices. Transl Behav Med. 2011;1:523–9. This study is important because it illustrates the lack of empirically validated weight loss strategies in commercial smartphone apps for weight loss, which have been downloaded millions of times. The findings of this paper suggest that partnerships between developers of commercial smartphone applications and academic researchers could be advantageous for producing the most sophisticated and effective weight loss applications. PubMedCentralPubMedCrossRef Breton E, Fuemmeler B, Abroms L. Weight loss—there is an app for that! But does it adhere to evidence-informed practices. Transl Behav Med. 2011;1:523–9. This study is important because it illustrates the lack of empirically validated weight loss strategies in commercial smartphone apps for weight loss, which have been downloaded millions of times. The findings of this paper suggest that partnerships between developers of commercial smartphone applications and academic researchers could be advantageous for producing the most sophisticated and effective weight loss applications. PubMedCentralPubMedCrossRef
54.
go back to reference Bacigalupo R, Cudd P, Littlewood C, Bissell P, Hawley MS, Buckley WH. Interventions employing mobile technology for overweight and obesity: an early systematic review of randomized controlled trials. Obes Rev. 2013;14:279–91.PubMedCentralPubMedCrossRef Bacigalupo R, Cudd P, Littlewood C, Bissell P, Hawley MS, Buckley WH. Interventions employing mobile technology for overweight and obesity: an early systematic review of randomized controlled trials. Obes Rev. 2013;14:279–91.PubMedCentralPubMedCrossRef
56.
go back to reference Gorini A, Gaggioli A, Vigna C, Riva G. A second life for eHealth: prospects for the use of 3-D virtual worlds in clinical psychology. J Med Internet Res. 2008;10:e21.PubMedCentralPubMedCrossRef Gorini A, Gaggioli A, Vigna C, Riva G. A second life for eHealth: prospects for the use of 3-D virtual worlds in clinical psychology. J Med Internet Res. 2008;10:e21.PubMedCentralPubMedCrossRef
57.
go back to reference Sullivan DK, Goetz JR, Gibson CA, et al. Improving weight maintenance using virtual reality (Second Life). J Nutr Educ Behav. 2013;45:264–8.PubMedCrossRef Sullivan DK, Goetz JR, Gibson CA, et al. Improving weight maintenance using virtual reality (Second Life). J Nutr Educ Behav. 2013;45:264–8.PubMedCrossRef
58.
go back to reference Yee N, Bailenson J. The Proteus Effect: the effect of transformed self-representation on behavior. Hum Commun Res. 2007;33:271–90.CrossRef Yee N, Bailenson J. The Proteus Effect: the effect of transformed self-representation on behavior. Hum Commun Res. 2007;33:271–90.CrossRef
59.
go back to reference Fox J, Bailenson JN. Virtual self-modeling: the effects of vicarious reinforcement and identification on exercise behaviors. Media Psychol. 2009;12:1–25.CrossRef Fox J, Bailenson JN. Virtual self-modeling: the effects of vicarious reinforcement and identification on exercise behaviors. Media Psychol. 2009;12:1–25.CrossRef
61.
go back to reference Rizzo AS, Lange B, Suma EA, Bolas M. Virtual reality and interactive digital game technology: new tools to address obesity and diabetes. J Diabetes Sci Technol. 2011;5:256–64.CrossRef Rizzo AS, Lange B, Suma EA, Bolas M. Virtual reality and interactive digital game technology: new tools to address obesity and diabetes. J Diabetes Sci Technol. 2011;5:256–64.CrossRef
62.
go back to reference Lee W, Chae YM, Kim S, Ho SH, Choi I. Evaluation of a mobile phone-based diet game for weight control. J Telemed Telecare. 2010;16:270–5.PubMedCrossRef Lee W, Chae YM, Kim S, Ho SH, Choi I. Evaluation of a mobile phone-based diet game for weight control. J Telemed Telecare. 2010;16:270–5.PubMedCrossRef
63.
go back to reference Wing RR, Pinto AM, Crane MM, Kumar R, Weinberg BM, Gorin AA. A statewide intervention reduces BMI in adults: Shape Up Rhode Island results. Obesity. 2009;17:991–5.PubMedCentralPubMedCrossRef Wing RR, Pinto AM, Crane MM, Kumar R, Weinberg BM, Gorin AA. A statewide intervention reduces BMI in adults: Shape Up Rhode Island results. Obesity. 2009;17:991–5.PubMedCentralPubMedCrossRef
64.
go back to reference Butryn ML, Phelan S, Hill JO, Wing RR. Consistent self-monitoring of weight: a key component of successful weight loss maintenance. Obesity. 2007;15:3091–6.PubMedCrossRef Butryn ML, Phelan S, Hill JO, Wing RR. Consistent self-monitoring of weight: a key component of successful weight loss maintenance. Obesity. 2007;15:3091–6.PubMedCrossRef
65.
go back to reference Klonoff DC, Buckingham B, Christiansen JS, et al. Continuous glucose monitoring: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. 2011;96:2968–79.PubMedCrossRef Klonoff DC, Buckingham B, Christiansen JS, et al. Continuous glucose monitoring: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. 2011;96:2968–79.PubMedCrossRef
66.
go back to reference Klonoff DC. Continuous glucose monitoring: roadmap for 21st century diabetes therapy. Diabetes Care. 2005;28:1231–9.PubMedCrossRef Klonoff DC. Continuous glucose monitoring: roadmap for 21st century diabetes therapy. Diabetes Care. 2005;28:1231–9.PubMedCrossRef
67.
go back to reference Rodbard HW, Jellinger PS, Davidson JA, et al. Statement by an American Association of Clinical Endocrinologists/American College of Endocrinology consensus panel on type 2 diabetes mellitus: an algorithm for glycemic control. Endocr Pract. 2009;15:540–59.PubMedCrossRef Rodbard HW, Jellinger PS, Davidson JA, et al. Statement by an American Association of Clinical Endocrinologists/American College of Endocrinology consensus panel on type 2 diabetes mellitus: an algorithm for glycemic control. Endocr Pract. 2009;15:540–59.PubMedCrossRef
68.
go back to reference Mulvaney S, Ritterband L, Bosslet L. Mobile intervention design in diabetes: review and recommendations. Curr Diab Rep. 2011;11:486–93.PubMedCrossRef Mulvaney S, Ritterband L, Bosslet L. Mobile intervention design in diabetes: review and recommendations. Curr Diab Rep. 2011;11:486–93.PubMedCrossRef
69.
go back to reference Tran J, Tran R, White JR. Smartphone-based glucose monitors and applications in the management of diabetes: an overview of 10 salient “apps” and a novel smartphone-connected blood glucose monitor. Clin Diabetes. 2012;30:173–8.CrossRef Tran J, Tran R, White JR. Smartphone-based glucose monitors and applications in the management of diabetes: an overview of 10 salient “apps” and a novel smartphone-connected blood glucose monitor. Clin Diabetes. 2012;30:173–8.CrossRef
70.
go back to reference Napolitano MA, Hayes S, Bennett GG, Ives AK, Foster GD. Using Facebook and text messaging to deliver a weight loss program to college students. Obesity. 2013;21:25–31.PubMedCrossRef Napolitano MA, Hayes S, Bennett GG, Ives AK, Foster GD. Using Facebook and text messaging to deliver a weight loss program to college students. Obesity. 2013;21:25–31.PubMedCrossRef
Metadata
Title
Review of Innovations in Digital Health Technology to Promote Weight Control
Authors
J. Graham Thomas
Dale S. Bond
Publication date
01-05-2014
Publisher
Springer US
Published in
Current Diabetes Reports / Issue 5/2014
Print ISSN: 1534-4827
Electronic ISSN: 1539-0829
DOI
https://doi.org/10.1007/s11892-014-0485-1

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