Persuasive System Design Principles and Behavior Change Techniques to Stimulate Motivation and Adherence in Electronic Health Interventions to Support Weight Loss Maintenance: Scoping Review

Rikke Aune Asbjørnsen, Mirjam Lien Smedsrød, Lise Solberg Nes, Jobke Wentzel, Cecilie Varsi, Jøran Hjelmesæth, Julia Ewc van Gemert-Pijnen, Rikke Aune Asbjørnsen, Mirjam Lien Smedsrød, Lise Solberg Nes, Jobke Wentzel, Cecilie Varsi, Jøran Hjelmesæth, Julia Ewc van Gemert-Pijnen

Abstract

Background: Maintaining weight after weight loss is a major health challenge, and eHealth (electronic health) solutions may be a way to meet this challenge. Application of behavior change techniques (BCTs) and persuasive system design (PSD) principles in eHealth development may contribute to the design of technologies that positively influence behavior and motivation to support the sustainable health behavior change needed.

Objective: This review aimed to identify BCTs and PSD principles applied in eHealth interventions to support weight loss and weight loss maintenance, as well as techniques and principles applied to stimulate motivation and adherence for long-term weight loss maintenance.

Methods: A systematic literature search was conducted in PsycINFO, Ovid MEDLINE (including PubMed), EMBASE, Scopus, Web of Science, and AMED, from January 1, 2007 to June 30, 2018. Arksey and O'Malley's scoping review methodology was applied. Publications on eHealth interventions were included if focusing on weight loss or weight loss maintenance, in combination with motivation or adherence and behavior change.

Results: The search identified 317 publications, of which 45 met the inclusion criteria. Of the 45 publications, 11 (24%) focused on weight loss maintenance, and 34 (76%) focused on weight loss. Mobile phones were the most frequently used technology (28/45, 62%). Frequently used wearables were activity trackers (14/45, 31%), as well as other monitoring technologies such as wireless or digital scales (8/45, 18%). All included publications were anchored in behavior change theories. Feedback and monitoring and goals and planning were core behavior change technique clusters applied in the majority of included publications. Social support and associations through prompts and cues to support and maintain new habits were more frequently used in weight loss maintenance than weight loss interventions. In both types of interventions, frequently applied persuasive principles were self-monitoring, goal setting, and feedback. Tailoring, reminders, personalization, and rewards were additional principles frequently applied in weight loss maintenance interventions. Results did not reveal an ideal combination of techniques or principles to stimulate motivation, adherence, and weight loss maintenance. However, the most frequently mentioned individual techniques and principles applied to stimulate motivation were, personalization, simulation, praise, and feedback, whereas associations were frequently mentioned to stimulate adherence. eHealth interventions that found significant effects for weight loss maintenance all applied self-monitoring, feedback, goal setting, and shaping knowledge, combined with a human social support component to support healthy behaviors.

Conclusions: To our knowledge, this is the first review examining key BCTs and PSD principles applied in weight loss maintenance interventions compared with those of weight loss interventions. This review identified several techniques and principles applied to stimulate motivation and adherence. Future research should aim to examine which eHealth design combinations can be the most effective in support of long-term behavior change and weight loss maintenance.

Keywords: adherence; behavior change; eHealth; motivation; persuasive technology; review; weight loss; weight loss maintenance.

Conflict of interest statement

Conflicts of Interest: None declared.

©Rikke Aune Asbjørnsen, Mirjam Lien Smedsrød, Lise Solberg Nes, Jobke Wentzel, Cecilie Varsi, Jøran Hjelmesæth, Julia EWC van Gemert-Pijnen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 21.06.2019.

Figures

Figure 1
Figure 1
Flow diagram of study selection process. n=the actual number of publications. eHealth: electronic health.
Figure 2
Figure 2
The number of included publications per year categorized by the aim of the electronic health intervention.
Figure 3
Figure 3
Flowchart with combinations of behavior change techniques (BCTs) in weight loss maintenance (WM) interventions 1-11. Illustrates the number (n) of WM interventions applying the BCT combined with previous techniques to the left in the flowchart.
Figure 4
Figure 4
Flowchart with combinations of persuasive system design (PSD) principles used in weight loss maintenance (WM) interventions 1-11. Illustrates the number (n) of WM interventions applying the PSD principles combined with previous principles to the left in the flowchart.

References

    1. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NME, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang J, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DFJ, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SEAH, Kengne AP, Khader YS, Khang Y, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KM, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJC, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van DVS, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon S, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJ, Gakidou E. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014 Aug 30;384(9945):766–81. doi: 10.1016/S0140-6736(14)60460-8.
    1. GBD 2015 Obesity Collaborators. Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, Marczak L, Mokdad AH, Moradi-Lakeh M, Naghavi M, Salama JS, Vos T, Abate KH, Abbafati C, Ahmed MB, Al-Aly Z, Alkerwi A, Al-Raddadi R, Amare AT, Amberbir A, Amegah AK, Amini E, Amrock SM, Anjana RM, Ärnlöv J, Asayesh H, Banerjee A, Barac A, Baye E, Bennett DA, Beyene AS, Biadgilign S, Biryukov S, Bjertness E, Boneya DJ, Campos-Nonato I, Carrero JJ, Cecilio P, Cercy K, Ciobanu LG, Cornaby L, Damtew SA, Dandona L, Dandona R, Dharmaratne SD, Duncan BB, Eshrati B, Esteghamati A, Feigin VL, Fernandes JC, Fürst T, Gebrehiwot TT, Gold A, Gona PN, Goto A, Habtewold TD, Hadush KT, Hafezi-Nejad N, Hay SI, Horino M, Islami F, Kamal R, Kasaeian A, Katikireddi SV, Kengne AP, Kesavachandran CN, Khader YS, Khang Y, Khubchandani J, Kim D, Kim YJ, Kinfu Y, Kosen S, Ku T, Defo BK, Kumar GA, Larson HJ, Leinsalu M, Liang X, Lim SS, Liu P, Lopez AD, Lozano R, Majeed A, Malekzadeh R, Malta DC, Mazidi M, McAlinden C, McGarvey ST, Mengistu DT, Mensah GA, Mensink GB, Mezgebe HB, Mirrakhimov EM, Mueller UO, Noubiap JJ, Obermeyer CM, Ogbo FA, Owolabi MO, Patton GC, Pourmalek F, Qorbani M, Rafay A, Rai RK, Ranabhat CL, Reinig N, Safiri S, Salomon JA, Sanabria JR, Santos IS, Sartorius B, Sawhney M, Schmidhuber J, Schutte AE, Schmidt MI, Sepanlou SG, Shamsizadeh M, Sheikhbahaei S, Shin M, Shiri R, Shiue I, Roba HS, Silva DA, Silverberg JI, Singh JA, Stranges S, Swaminathan S, Tabarés-Seisdedos R, Tadese F, Tedla BA, Tegegne BS, Terkawi AS, Thakur JS, Tonelli M, Topor-Madry R, Tyrovolas S, Ukwaja KN, Uthman OA, Vaezghasemi M, Vasankari T, Vlassov VV, Vollset SE, Weiderpass E, Werdecker A, Wesana J, Westerman R, Yano Y, Yonemoto N, Yonga G, Zaidi Z, Zenebe ZM, Zipkin B, Murray CJ. Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017 Dec 6;377(1):13–27. doi: 10.1056/NEJMoa1614362.
    1. Christiansen T, Bruun JM, Madsen EL, Richelsen B. Weight loss maintenance in severely obese adults after an intensive lifestyle intervention: 2- to 4-year follow-up. Obesity (Silver Spring) 2007 Feb;15(2):413–20. doi: 10.1038/oby.2007.530. doi: 10.1038/oby.2007.530.
    1. Montesi L, El Ghoch M, Brodosi L, Calugi S, Marchesini G, Dalle GR. Long-term weight loss maintenance for obesity: a multidisciplinary approach. Diabetes Metab Syndr Obes. 2016;9:37–46. doi: 10.2147/DMSO.S89836. doi: 10.2147/DMSO.S89836.
    1. Garcia UC, Huizinga M, Beech B, Elasy T. American Diabetes Association - Clinical Diabetes Journal. American Diabetes Association; 2008. Jul 01, Weight Regain Prevention .
    1. MacLean PS, Wing RR, Davidson T, Epstein L, Goodpaster B, Hall KD, Levin BE, Perri MG, Rolls BJ, Rosenbaum M, Rothman AJ, Ryan D. NIH working group report: innovative research to improve maintenance of weight loss. Obesity (Silver Spring) 2015 Jan;23(1):7–15. doi: 10.1002/oby.20967. doi: 10.1002/oby.20967.
    1. Bardus M, van Beurden SB, Smith JR, Abraham C. A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management. Int J Behav Nutr Phys Act. 2016;13(1):35. doi: 10.1186/s12966-016-0359-9.
    1. American College of Cardiology/American Heart Association Task Force on Practice Guidelines, Obesity Expert Panel, 2013 Executive summary: Guidelines (2013) for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Obesity Society published by the Obesity Society and American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Based on a systematic review from the The Obesity Expert Panel, 2013. Obesity (Silver Spring) 2014 Jul;22(Suppl 2):S5–39. doi: 10.1002/oby.20821.
    1. Lean M, Hankey C. Keeping it off: the challenge of weight-loss maintenance. Lancet Diabetes Endocrinol. 2018 Dec;6(9):681–3. doi: 10.1016/S2213-8587(17)30405-9. doi: 10.1016/S2213-8587(17)30405-9.
    1. Eysenbach G. What is e-health? J Med Internet Res. 2001 Jun;3(2):E20. doi: 10.2196/jmir.3.2.e20.
    1. van Gemert-Pijnen JE, Peters O, Ossebaard HC. Improving eHealth. The Hague: Eleven International Publishing; 2013.
    1. van Gemert-Pijnen JE, Kelders SM, Kip H, Sanderman R. Ehealth Research, Theory And Development: A Multi-Disciplinary Approach. Abingdon: Routledge; 2018.
    1. Griffiths F, Lindenmeyer A, Powell J, Lowe P, Thorogood M. Why are health care interventions delivered over the internet? A systematic review of the published literature. J Med Internet Res. 2006;8(2):e10. doi: 10.2196/jmir.8.2.e10.
    1. Nijland N. Grounding eHealth: Towards a Holistic Framework for Sustainable eHealth Technologies. Enschede: University of Twente; 2011.
    1. European Commission European Commission. 2018. Communication from the Commission to the European Parlament, The Council, The European Economic and Social Committee and The Committee of the Regions on enabling the digital transformation of health and care in the Digital Single Market; empowering citizens and building a healthier society .
    1. Oinas-Kukkonen H, Harjumaa M. Persuasive systems design: key issues, process model and system features. Commun Assoc Inf Syst. 2009;24:28. doi: 10.17705/1CAIS.02428.
    1. Klasnja P, Pratt W. Healthcare in the pocket: mapping the space of mobile-phone health interventions. J Biomed Inform. 2012 Feb;45(1):184–98. doi: 10.1016/j.jbi.2011.08.017.
    1. Wang J, Cai C, Padhye N, Orlander P, Zare M. A behavioral lifestyle intervention enhanced with multiple-behavior self-monitoring using mobile and connected tools for underserved individuals with type 2 diabetes and comorbid overweight or obesity: pilot comparative effectiveness trial. JMIR Mhealth Uhealth. 2018 Apr 10;6(4):e92. doi: 10.2196/mhealth.4478.
    1. Kelders SM, Kok RN, Ossebaard HC, van Gemert-Pijnen JE. Persuasive system design does matter: a systematic review of adherence to web-based interventions. J Med Internet Res. 2012;14(6):e152. doi: 10.2196/jmir.2104.
    1. Sorgente A, Pietrabissa G, Manzoni GM, Re F, Simpson S, Perona S, Rossi A, Cattivelli R, Innamorati M, Jackson JB, Castelnuovo G. Web-based interventions for weight loss or weight loss maintenance in overweight and obese people: a systematic review of systematic reviews. J Med Internet Res. 2017 Jun 26;19(6):e229. doi: 10.2196/jmir.6972.
    1. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013 Aug;46(1):81–95. doi: 10.1007/s12160-013-9486-6.
    1. Kelders SM, Oinas-Kukkonen H, Oörni A, van Gemert-Pijnen JE. Health behavior change support systems as a research discipline; a viewpoint. Int J Med Inform. 2016 Dec;96:3–10. doi: 10.1016/j.ijmedinf.2016.06.022.
    1. Michie S, Abraham C, Eccles MP, Francis JJ, Hardeman W, Johnston M. Strengthening evaluation and implementation by specifying components of behaviour change interventions: a study protocol. Implement Sci. 2011;6:10. doi: 10.1186/1748-5908-6-10.
    1. Fogg B. A behavior model for persuasive design. Proceedings of the 4th International Conference on Persuasive Technology; 4th International Conference on Persuasive Technology; April 26-29, 2009; Claremont, California, USA. 2009. pp. 1–7.
    1. van Gemert-Pijnen JE, Nijland N, van Limburg M, Ossebaard HC, Kelders SM, Eysenbach G, Seydel ER. A holistic framework to improve the uptake and impact of eHealth technologies. J Med Internet Res. 2011 Dec 5;13(4):e111. doi: 10.2196/jmir.1672.
    1. Fogg B. Persuasive Technology: Using Computers To Change What We Think And Do. San Francisco: Morgan Kaufmann; 2002.
    1. Beleigoli AM, Andrade AQ, Cançado AG, Paulo MN, Diniz MD, Ribeiro AL. Web-based digital health interventions for weight loss and lifestyle habit changes in overweight and obese adults: systematic review and meta-analysis. J Med Internet Res. 2019 Jan 8;21(1):e298. doi: 10.2196/jmir.9609.
    1. Ludden G, Cain R, MacKrill J, Allen F. Design for behaviour change for health and wellbeing. In: Niedderer K, Clune S, Ludden G, editors. Design for Behaviour Change: Theories and Practices of Designing for Change, 1st Edition. Abingdon: Routledge, Taylor and Francis; 2017. pp. 184–99.
    1. Fjeldsoe B, Neuhaus M, Winkler E, Eakin E. Systematic review of maintenance of behavior change following physical activity and dietary interventions. Health Psychol. 2011 Jan;30(1):99–109. doi: 10.1037/a0021974.
    1. Sieverink F, Kelders S, Poel M, van Gemert-Pijnen L. Opening the black box of electronic health: collecting, analyzing, and interpreting log data. JMIR Res Protoc. 2017 Aug 7;6(8):e156. doi: 10.2196/resprot.6452.
    1. Resnicow K, Strecher V, Couper M, Chua H, Little R, Nair V, Polk TA, Atienza AA. Methodologic and design issues in patient-centered e-health research. Am J Prev Med. 2010 Jan;38(1):98–102. doi: 10.1016/j.amepre.2009.09.034.
    1. Lehto T, Oinas-Kukkonen H. Persuasive Technology: 5th International Conference, Persuasive 2010, Copenhagen, Denmark, June 7-10, 2010, Proceedings (lecture Notes In Computer Science) Berlin: Springer; 2019. Persuasive features in six weight loss websites: a qualitative evaluation.
    1. Kelders SM, van Gemert-Pijnen JE. Persuasive Technology: 8th International Conference, Persuasive 2013, Sydney, Nsw, Australia, April 3-5, 2013. Proceedings (lecture Notes In Computer Science) Berlin: Springer; 2013. Using log-data as a starting point to make eHealth more persuasive; pp. 99–109.
    1. Räisänen T, Lehto T, Oinas-Kukkonen H. Persuasive Technology: 5th International Conference, Persuasive 2010, Copenhagen, Denmark, June 7-10, 2010, Proceedings (lecture Notes In Computer Science) Berlin: Springer; 2010. Practical findings from applying the PSD model for evaluating software design specifications; pp. 185–92.
    1. 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 Apr;11(4):306–21. doi: 10.1111/j.1467-789X.2009.00646.x.
    1. Arksey H, O'Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005 Feb;8(1):19–32. doi: 10.1080/1364557032000119616. doi: 10.1080/1364557032000119616.
    1. Pham MT, Rajić A, Greig JD, Sargeant JM, Papadopoulos A, McEwen SA. A scoping review of scoping reviews: advancing the approach and enhancing the consistency. Res Synth Methods. 2014 Dec;5(4):371–85. doi: 10.1002/jrsm.1123.
    1. Elliot AJ, Covington MV. Approach and avoidance motivation. Edu Psychol Rev. 2001:73–92. doi: 10.1023/A:1009009018235.
    1. Eysenbach G, CONSORT-EHEALTH Group CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011 Dec 31;13(4):e126. doi: 10.2196/jmir.1923.
    1. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013 Aug;46(1):81–95. doi: 10.1007/s12160-013-9486-6.
    1. Maclean PS, Bergouignan A, Cornier M, Jackman MR. Biology's response to dieting: the impetus for weight regain. Am J Physiol Regul Integr Comp Physiol. 2011 Sep;301(3):R581–600. doi: 10.1152/ajpregu.00755.2010.
    1. Covidence - A Cochrane technology platform. .
    1. Webber KH, Gabriele JM, Tate DF, Dignan MB. The effect of a motivational intervention on weight loss is moderated by level of baseline controlled motivation. Int J Behav Nutr Phys Act. 2010;7:4. doi: 10.1186/1479-5868-7-4.
    1. 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(3):161–7. doi: 10.1016/j.jneb.2009.03.001.
    1. Lentelink SJ, Spil AA, Broens T, Hermens HJ, Jones VM. 2013 IEEE 2nd International Conference on Serious Games and Applications for Health (SeGAH) Piscataway: IEEE; 2013. Healthy weight game!: Lose weight together: The design and evaluation of a serious game for overweight and obesity.
    1. Matthews L, Pugmire J, Moore L, Kelson M, McConnachie A, McIntosh E, Morgan-Trimmer S, Murphy S, Hughes K, Coulman E, Utkina-Macaskill O, Simpson SA. Study protocol for the 'HelpMeDoIt!' randomised controlled feasibility trial: an app, web and social support-based weight loss intervention for adults with obesity. BMJ Open. 2017 Oct 25;7(10):e017159. doi: 10.1136/bmjopen-2017-017159. doi: 10.1136/bmjopen-2017-017159.
    1. Podina IR, Fodor LA, Cosmoiu A, Boian R. An evidence-based gamified mHealth intervention for overweight young adults with maladaptive eating habits: study protocol for a randomized controlled trial. Trials. 2017 Dec 12;18(1):592. doi: 10.1186/s13063-017-2340-6.
    1. Johnston JD, Massey AP, Devaneaux CA. Innovation in weight loss programs: a 3-dimensional virtual-world approach. J Med Internet Res. 2012;14(5):e120. doi: 10.2196/jmir.2254.
    1. Watson A, Bickmore T, Cange A, Kulshreshtha A, Kvedar J. An internet-based virtual coach to promote physical activity adherence in overweight adults: randomized controlled trial. J Med Internet Res. 2012;14(1):e1. doi: 10.2196/jmir.1629.
    1. Painter S, Ditsch G, Ahmed R, Hanson NB, Kachin K, Berger J. Retrofit weight-loss outcomes at 6, 12, and 24 months and characteristics of 12-month high performers: a retrospective analysis. JMIR Mhealth Uhealth. 2016 Aug 22;4(3):e101. doi: 10.2196/mhealth.5873.
    1. Evans EH, Araújo-Soares V, Adamson A, Batterham AM, Brown H, Campbell M, Dombrowski SU, Guest A, Jackson D, Kwasnicka D, Ladha K, McColl E, Olivier P, Rothman AJ, Sainsbury K, Steel AJ, Steen IN, Vale L, White M, Wright P, Sniehotta FF. The NULevel trial of a scalable, technology-assisted weight loss maintenance intervention for obese adults after clinically significant weight loss: study protocol for a randomised controlled trial. Trials. 2015 Sep 22;16:421. doi: 10.1186/s13063-015-0931-7.
    1. Leahey TM, Fava JL, Seiden A, Fernandes D, Doyle C, Kent K, la Rue M, Mitchell M, Wing RR. A randomized controlled trial testing an internet delivered cost-benefit approach to weight loss maintenance. Prev Med. 2016 Dec;92:51–57. doi: 10.1016/j.ypmed.2016.04.013.
    1. Barnett J, Harricharan M, Fletcher D, Gilchrist B, Coughlan J. myPace: an integrative health platform for supporting weight loss and maintenance behaviors. IEEE J Biomed Health Inform. 2015 Jan;19(1):109–16. doi: 10.1109/JBHI.2014.2366832. doi: 10.1109/JBHI.2014.2366832.
    1. van Genugten L, van Empelen P, Oenema A. Intervention use and action planning in a web-based computer-tailored weight management program for overweight adults: randomized controlled trial. JMIR Res Protoc. 2014;3(3):e31. doi: 10.2196/resprot.2599.
    1. Shaw PA, Yancy WS, Wesby L, Ulrich V, Troxel AB, Huffman D, Foster GD, Volpp K. The design and conduct of Keep It Off: an online randomized trial of financial incentives for weight-loss maintenance. Clin Trials. 2017 Feb;14(1):29–36. doi: 10.1177/1740774516669679. doi: 10.1177/1740774516669679.
    1. Stevens VJ, Funk KL, Brantley PJ, Erlinger TP, Myers VH, Champagne CM, Bauck A, Samuel-Hodge CD, Hollis JF. Design and implementation of an interactive website to support long-term maintenance of weight loss. J Med Internet Res. 2008 Jan 25;10(1):e1. doi: 10.2196/jmir.931. doi: 10.2196/jmir.931.
    1. Brindal E, Hendrie GA, Freyne J. combining persuasive technology with behavioral theory to support weight maintenance through a mobile phone app: protocol for the MotiMate app. JMIR Res Protoc. 2016 Jan 8;5(1):e5. doi: 10.2196/resprot.4664. doi: 10.2196/resprot.4664.
    1. Zoppis I, Mauri G, Sicurello F, Santoro E, Castelnuovo G. DIABESITY: Design of mHealth integrated solutions for empowering diabetic and obese citizens in self-monitoring and self-management using mobile devices, apps, social media and web-based technologies. In: de Alencar MS, editor. Communication, Management and Information Technology. Abingdon: Taylor & Francis Group; 2017. pp. 207–14.
    1. Partridge SR, McGeechan K, Hebden L, Balestracci K, Wong AT, Denney-Wilson E, Harris MF, Phongsavan P, Bauman A, Allman-Farinelli M. Effectiveness of a mHealth lifestyle program with telephone support (TXT2BFiT) to prevent unhealthy weight gain in young adults: randomized controlled trial. JMIR Mhealth Uhealth. 2015;3(2):e66. doi: 10.2196/mhealth.4530.
    1. Crane MM, Ward DS, Lutes LD, Bowling JM, Tate DF. Theoretical and behavioral mediators of a weight loss intervention for men. Ann Behav Med. 2016 Dec;50(3):460–70. doi: 10.1007/s12160-016-9774-z.
    1. Pellegrini CA, Hoffman SA, Collins LM, Spring B. Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol. Contemp Clin Trials. 2014 Jul;38(2):251–9. doi: 10.1016/j.cct.2014.05.007. doi: 10.1016/j.cct.2014.05.007.
    1. Banos RM, Mensorio MS, Cebolla A, Rodilla E, Palomar G, Lisón J, Botella C. An internet-based self-administered intervention for promoting healthy habits and weight loss in hypertensive people who are overweight or obese: a randomized controlled trial. BMC Cardiovasc Disord. 2015 Aug 4;15:83. doi: 10.1186/s12872-015-0078-1.
    1. Cohen A, Perozich A, Rajan R, Persky S, Parisi J, Bowie J, Fahle J, Cho J, Krishnan A, Cohen Z, Ezike A, Schulte C, Taylor J, Storey D, Ahmed RS, Cheskin LJ. Framed, interactive theory-driven texting: effects of message framing on health behavior change for weight loss. Fam Community Health. 2017;40(1):43–51. doi: 10.1097/FCH.0000000000000128. doi: 10.1097/FCH.0000000000000128.
    1. Bouhaidar CM, DeShazo JP, Puri P, Gray P, Robins JL, Salyer J. Text messaging as adjunct to community-based weight management program. Comput Inform Nurs. 2013 Oct;31(10):469–76. doi: 10.1097/01.NCN.0000432121.02323.cb.
    1. Mehring M, Haag M, Linde K, Wagenpfeil S, Frensch F, Blome J, Schneider A. Effects of a general practice guided web-based weight reduction program--results of a cluster-randomized controlled trial. BMC Fam Pract. 2013;14:76. doi: 10.1186/1471-2296-14-76.
    1. Miller WR, Rollnick S. Motivational Interviewing: Preparing People For Change, 2nd Edition. New York, NY: The Guilford Press; 2002.
    1. Ambeba EJ, Ye L, Sereika SM, Styn MA, Acharya SD, Sevick MA, Ewing LJ, Conroy MB, Glanz K, Zheng Y, Goode RW, Mattos M, Burke LE. The use of mHealth to deliver tailored messages reduces reported energy and fat intake. J Cardiovasc Nurs. 2015;30(1):35–43. doi: 10.1097/JCN.0000000000000120.
    1. Anton SD, LeBlanc E, Allen HR, Karabetian C, Sacks F, Bray G, Williamson DA. Use of a computerized tracking system to monitor and provide feedback on dietary goals for calorie-restricted diets: the POUNDS LOST study. J Diabetes Sci Technol. 2012 Sep;6(5):1216–25.
    1. Burke LE, Zheng Y, Ma Q, Mancino J, Loar I, Music E, Styn M, Ewing L, French B, Sieworek D, Smailagic A, Sereika SM. The SMARTER pilot study: testing feasibility of real-time feedback for dietary self-monitoring. Prev Med Rep. 2017 Jun;6:278–85. doi: 10.1016/j.pmedr.2017.03.017.
    1. Carter MC, Burley VJ, Nykjaer C, Cade JE. Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. J Med Internet Res. 2013;15(4):e32. doi: 10.2196/jmir.2283.
    1. Héroux M, Watt M, McGuire KA, Berardi JM. A personalized, multi-platform nutrition, exercise, and lifestyle coaching program: a pilot in women. Internet Interv. 2017 Mar;7:16–22. doi: 10.1016/j.invent.2016.12.002. doi: 10.1016/j.invent.2016.12.002.
    1. Shapiro JR, Koro T, Doran N, Thompson S, Sallis JF, Calfas K, Patrick K. Text4Diet: a randomized controlled study using text messaging for weight loss behaviors. Prev Med. 2012 Nov;55(5):412–7. doi: 10.1016/j.ypmed.2012.08.011.
    1. Hutchesson MJ, Tan CY, Morgan P, Callister R, Collins C. Enhancement of self-monitoring in a web-based weight loss program by extra individualized feedback and reminders: randomized trial. J Med Internet Res. 2016 Apr 12;18(4):e82. doi: 10.2196/jmir.4100.
    1. Krukowski RA, Harvey-Berino J, Bursac Z, Ashikaga T, West DS. Patterns of success: online self-monitoring in a web-based behavioral weight control program. Health Psychol. 2013 Feb;32(2):164–70. doi: 10.1037/a0028135.
    1. Mateo KF, Jay M. Access to a behavioral weight loss website with or without group sessions increased weight loss in statewide campaign. J Clin Outcomes Manage. 2014:345–9.
    1. Mattila E, Pärkkä J, Hermersdorf M, Kaasinen J, Vainio J, Samposalo K, Merilahti J, Kolari J, Kulju M, Lappalainen R, Korhonen I. Mobile diary for wellness management--results on usage and usability in two user studies. IEEE Trans Inf Technol Biomed. 2008 Jul;12(4):501–12. doi: 10.1109/TITB.2007.908237.
    1. Pagoto S, Tulu B, Agu E, Waring ME, Oleski JL, Jake-Schoffman DE. Using the Habit App for weight loss problem solving: development and feasibility study. JMIR Mhealth Uhealth. 2018 Jun 20;6(6):e145. doi: 10.2196/mhealth.9801.
    1. Ma J, Xiao L, Blonstein AC. Measurement of self-monitoring web technology acceptance and use in an e-health weight-loss trial. Telemed J E Health. 2013 Oct;19(10):739–45. doi: 10.1089/tmj.2013.0009.
    1. Gabriele JM, Carpenter BD, Tate DF, Fisher EB. Directive and nondirective e-coach support for weight loss in overweight adults. Ann Behav Med. 2011 Apr;41(2):252–63. doi: 10.1007/s12160-010-9240-2.
    1. Merchant G, Weibel N, Pina L, Griswold WG, Fowler JH, Ayala GX, Gallo LC, Hollan J, Patrick K. Face-to-face and online networks: college students' experiences in a weight-loss trial. J Health Commun. 2017 Dec;22(1):75–83. doi: 10.1080/10810730.2016.1250847. doi: 10.1080/10810730.2016.1250847.
    1. Rutledge T, Skoyen JA, Wiese JA, Ober KM, Woods GN. A comparison of MOVE! versus TeleMOVE programs for weight loss in Veterans with obesity. Obes Res Clin Pract. 2017;11(3):344–51. doi: 10.1016/j.orcp.2016.11.005.
    1. Sevick MA, Woolf K, Mattoo A, Katz SD, Li H, St-Jules DE, Jagannathan R, Hu L, Pompeii ML, Ganguzza L, Li Z, Sierra A, Williams SK, Goldfarb DS. The Healthy Hearts and Kidneys (HHK) study: Design of a 2×2 RCT of technology-supported self-monitoring and social cognitive theory-based counseling to engage overweight people with diabetes and chronic kidney disease in multiple lifestyle changes. Contemp Clin Trials. 2018 Dec;64:265–73. doi: 10.1016/j.cct.2017.08.020. doi: 10.1016/j.cct.2017.08.020.
    1. Alnasser A, Sathiaseelan A, Al-Khalifa A, Marais D. Development of 'Twazon': an Arabic app for weight loss. JMIR Res Protoc. 2016 May 16;5(2):e76. doi: 10.2196/resprot.5497.
    1. Leahey TM, Kumar R, Weinberg BM, Wing RR. Teammates and social influence affect weight loss outcomes in a team-based weight loss competition. Obesity (Silver Spring) 2012 Jul;20(7):1413–8. doi: 10.1038/oby.2012.18.
    1. Limam Mansar S, Jariwala S, Behih N, Shahzad M, Anggraini A. Adapting a database of text messages to a mobile-based weight loss program: the case of the middle East. Int J Telemed Appl. 2014;2014:658149. doi: 10.1155/2014/658149. doi: 10.1155/2014/658149.
    1. Gilmartin J, Murphy M. The effects of contemporary behavioural weight loss maintenance interventions for long term weight loss: a systematic review. J Res Nurs. 2015;20(6):481–96. doi: 10.1177/1744987115599671.
    1. Dombrowski SU, Knittle K, Avenell A, Araújo-Soares V, Sniehotta FF. Long term maintenance of weight loss with non-surgical interventions in obese adults: systematic review and meta-analyses of randomised controlled trials. Br Med J. 2014;348:g2646.
    1. Kwasnicka D, Dombrowski SU, White M, Sniehotta F. Theoretical explanations for maintenance of behaviour change: a systematic review of behaviour theories. Health Psychol Rev. 2016 Sep;10(3):277–96. doi: 10.1080/17437199.2016.1151372.
    1. Wieland LS, Falzon L, Sciamanna CN, Trudeau KJ, Brodney S, Schwartz JE, Davidson KW. Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. Cochrane Database Syst Rev. 2012;8:CD007675. doi: 10.1002/14651858.CD007675.pub2.
    1. Wang Y, Xue H, Huang Y, Huang L, Zhang D. A systematic review of application and effectiveness of mHealth interventions for obesity and diabetes treatment and self-management. Adv Nutr. 2017 May;8(3):449–62. doi: 10.3945/an.116.014100.
    1. Coons MJ, Demott A, Buscemi J, Duncan JM, Pellegrini CA, Steglitz J, Pictor A, Spring B. Technology interventions to curb obesity: a systematic review of the current literature. Curr Cardiovasc Risk Rep. 2012 Apr;6(2):120–34. doi: 10.1007/s12170-012-0222-8. doi: 10.1007/s12170-012-0222-8.
    1. Manzoni GM, Pagnini F, Corti S, Molinari E, Castelnuovo G. Internet-based behavioral interventions for obesity: an updated systematic review. Clin Pract Epidemiol Ment Health. 2011 Mar;7:19–28. doi: 10.2174/1745017901107010019.
    1. Varkevisser RDM, van Stralen MM, Kroeze W, Ket JC, Steenhuis IH. Determinants of weight loss maintenance: a systematic review. Obes Rev. 2019 Dec;20(2):171–211. doi: 10.1111/obr.12772. doi: 10.1111/obr.12772.
    1. Sieverink F, Kelders SM, van Gemert-Pijnen JE. Clarifying the concept of adherence to eHealth technology: systematic review on when usage becomes adherence. J Med Internet Res. 2017 Dec 6;19(12):e402. doi: 10.2196/jmir.8578.
    1. Payne JE, Turk MT, Kalarchian MA, Pellegrini CA. Defining adherence to dietary self-monitoring using a mobile app: a narrative review. J Acad Nutr Diet. 2018 Nov;118(11):2094–119. doi: 10.1016/j.jand.2018.05.011. doi: 10.1016/j.jand.2018.05.011.
    1. Lentferink AJ, Oldenhuis HK, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen JE. Key components in eHealth interventions combining self-tracking and persuasive eCoaching to promote a healthier lifestyle: a scoping review. J Med Internet Res. 2017 Aug 1;19(8):e277. doi: 10.2196/jmir.7288.
    1. Harris PR, Sillence E, Briggs P. The effect of credibility-related design cues on responses to a web-based message about the breast cancer risks from alcohol: randomized controlled trial. J Med Internet Res. 2009 Aug 25;11(3):e37. doi: 10.2196/jmir.1097.
    1. Carter DD, Robinson K, Forbes J, Hayes S. Experiences of mobile health in promoting physical activity: a qualitative systematic review and meta-ethnography. PLoS One. 2018;13(12):e0208759. doi: 10.1371/journal.pone.0208759. doi: 10.1371/journal.pone.0208759.
    1. Jakicic JM, Winters C, Lang W, Wing RR. Effects of intermittent exercise and use of home exercise equipment on adherence, weight loss, and fitness in overweight women: a randomized trial. J Am Med Assoc. 1999 Oct 27;282(16):1554–60.
    1. Jeffery RW, Wing RR, Sherwood NE, Tate DF. Physical activity and weight loss: does prescribing higher physical activity goals improve outcome? Am J Clin Nutr. 2003 Oct;78(4):684–9. doi: 10.1093/ajcn/78.4.684. doi: 10.1093/ajcn/78.4.684.
    1. Thomas JG, Bond DS, Phelan S, Hill JO, Wing RR. Weight-loss maintenance for 10 years in the National Weight Control Registry. Am J Prev Med. 2014 Jan;46(1):17–23. doi: 10.1016/j.amepre.2013.08.019.
    1. Wing RR, Phelan S. Long-term weight loss maintenance. Am J Clin Nutr. 2005 Jul;82(1 Suppl):222S–5S.
    1. Elfhag K, Rössner S. Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obes Rev. 2005 Feb;6(1):67–85. doi: 10.1111/j.1467-789X.2005.00170.x.

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