Published on 17.04.13 in Vol 1, No 1 (2013): JMIR MHealth - Inaugural Issue
Works citing "Health-E-Call, a Smartphone-Assisted Behavioral Obesity Treatment: Pilot Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.2164):
(note that this is only a small subset of citations)
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Jacobs S, Radnitz C, Hildebrandt T. Adherence as a predictor of weight loss in a commonly used smartphone application. Obesity Research & Clinical Practice 2017;11(2):206
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Thomas JG, Bond DS. Review of Innovations in Digital Health Technology to Promote Weight Control. Current Diabetes Reports 2014;14(5)
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Godino JG, Golaszewski NM, Norman GJ, Rock CL, Griswold WG, Arredondo E, Marshall S, Kolodziejczyk J, Dillon L, Raab F, Jain S, Crawford M, Merchant G, Patrick K, Basu S. Text messaging and brief phone calls for weight loss in overweight and obese English- and Spanish-speaking adults: A 1-year, parallel-group, randomized controlled trial. PLOS Medicine 2019;16(9):e1002917
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Job JR, Fjeldsoe BS, Eakin EG, Reeves MM. Effectiveness of extended contact interventions for weight management delivered via text messaging: a systematic review and meta‐analysis. Obesity Reviews 2018;19(4):538
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Samoggia A, Riedel B. Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge. Food Research International 2020;128:108766
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Martin CK, Miller AC, Thomas DM, Champagne CM, Han H, Church T. Efficacy of SmartLossSM
, a smartphone-based weight loss intervention: Results from a randomized controlled trial. Obesity 2015;23(5):935
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Goldstein CM, Thomas JG, Wing RR, Bond DS. Successful weight loss maintainers use health-tracking smartphone applications more than a nationally representative sample: comparison of the National Weight Control Registry to Pew Tracking for Health. Obesity Science & Practice 2017;3(2):117
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Chae JP, Sung H. The association of daily use of information and communication technologies with personal subjective health status. Journal of Korea Planning Association 2017;52(3):185
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Joiner KL, Nam S, Whittemore R. Lifestyle interventions based on the diabetes prevention program delivered via eHealth: A systematic review and meta-analysis. Preventive Medicine 2017;100:194
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Puigdomenech Puig E, Robles N, Saigí-Rubió F, Zamora A, Moharra M, Paluzie G, Balfegó M, Cuatrecasas Cambra G, Garcia-Lorda P, Carrion C. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e12612
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Oh B, Cho B, Han MK, Choi H, Lee MN, Kang H, Lee CH, Yun H, Kim Y. The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial. JMIR mHealth and uHealth 2015;3(3):e83
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Rogers RJ, Lang W, Barone Gibbs B, Davis KK, Burke LE, Kovacs SJ, Portzer LA, Jakicic JM. Applying a technology‐based system for weight loss in adults with obesity. Obesity Science & Practice 2016;2(1):3
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Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Annals of Behavioral Medicine 2018;52(6):446
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Bradley LE, Forman EM, Kerrigan SG, Goldstein SP, Butryn ML, Thomas JG, Herbert JD, Sarwer DB. Project HELP: a Remotely Delivered Behavioral Intervention for Weight Regain after Bariatric Surgery. Obesity Surgery 2017;27(3):586
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Spanakis EG, Santana S, Tsiknakis M, Marias K, Sakkalis V, Teixeira A, Janssen JH, de Jong H, Tziraki C. Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review. Journal of Medical Internet Research 2016;18(6):e128
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Wills AM, Garry J, Hubbard J, Mezoian T, Breen CT, Ortiz-Miller C, Nalipinski P, Sullivan S, Berry JD, Cudkowicz M, Paganoni S, Chan J, Macklin EA. Nutritional counseling with or without mobile health technology: a randomized open-label standard-of-care-controlled trial in ALS. BMC Neurology 2019;19(1)
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Bradley LE, Smith-Mason CE, Corsica JA, Kelly MC, Hood MM. Remotely Delivered Interventions for Obesity Treatment. Current Obesity Reports 2019;8(4):354
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Arens-Volland AG, Spassova L, Bohn T. Promising approaches of computer-supported dietary assessment and management—Current research status and available applications. International Journal of Medical Informatics 2015;84(12):997
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Villinger K, Wahl DR, Boeing H, Schupp HT, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465
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Safran Naimark J, Madar Z, R Shahar D. The Impact of a Web-Based App (eBalance) in Promoting Healthy Lifestyles: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(3):e56
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Burke LE, Sereika SM, Parmanto B, Beatrice B, Cajita M, Loar I, Pulantara IW, Wang Y, Kariuki J, Yu Y, Cedillo M, Cheng J, Conroy MB. The SMARTER Trial: Design of a trial testing tailored mHealth feedback to impact self-monitoring of diet, physical activity, and weight. Contemporary Clinical Trials 2020;91:105958
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Jensen CD, Duncombe KM, Lott MA, Hunsaker SL, Duraccio KM, Woolford SJ. An Evaluation of a Smartphone–Assisted Behavioral Weight Control Intervention for Adolescents: Pilot Study. JMIR mHealth and uHealth 2016;4(3):e102
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Reed JR, Struwe L, Bice MR, Yates BC. The impact of self-monitoring food intake on motivation, physical activity and weight loss in rural adults. Applied Nursing Research 2017;35:36
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Thomas JG, Bond DS, Raynor HA, Papandonatos GD, Wing RR. Comparison of Smartphone‐Based Behavioral Obesity Treatment With Gold Standard Group Treatment and Control: A Randomized Trial. Obesity 2019;27(4):572
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Mason AE, Jhaveri K, Cohn M, Brewer JA. Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept. Journal of Behavioral Medicine 2018;41(2):160
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Crane D, Garnett C, Brown J, West R, Michie S. Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies. Frontiers in Public Health 2017;5
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Payne JE, Turk MT, Kalarchian MA, Pellegrini CA. Defining Adherence to Dietary Self-Monitoring Using a Mobile App: A Narrative Review. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2094
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Mao AY, Chen C, Magana C, Caballero Barajas K, Olayiwola JN. A Mobile Phone-Based Health Coaching Intervention for Weight Loss and Blood Pressure Reduction in a National Payer Population: A Retrospective Study. JMIR mHealth and uHealth 2017;5(6):e80
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Parry M, Dhukai A, Clarke H, Bjørnnes AK, Cafazzo JA, Cooper L, Harvey P, Katz J, Lalloo C, Leegaard M, Légaré F, Lovas M, McFetridge-Durdle J, McGillion M, Norris C, Parente L, Patterson R, Pilote L, Pink L, Price J, Stinson J, Uddin A, Victor JC, Watt-Watson J, Auld C, Faubert C, Park D, Park M, Rickard B, DeBonis VS. Development and usability testing of HEARTPA♀N: protocol for a mixed methods strategy to develop an integrated smartphone and web-based intervention for women with cardiac pain. BMJ Open 2020;10(3):e033092
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Morrison LG, Hargood C, Lin SX, Dennison L, Joseph J, Hughes S, Michaelides DT, Johnston D, Johnston M, Michie S, Little P, Smith PW, Weal MJ, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201
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Payne HE, Lister C, West JH, Bernhardt JM. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20
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Kurscheid T, Redaélli M, Heinen A, Hahmann P, Behle K, Froböse I. App-gesteuerte Feedbackgeräte unterstützen Nachhaltigkeit einer Gewichtsreduktion. Zeitschrift für Psychosomatische Medizin und Psychotherapie 2019;65(3):224
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Valle CG, Nezami BT, Tate DF. Designing in-app messages to nudge behavior change: Lessons learned from a weight management app for young adults. Organizational Behavior and Human Decision Processes 2020;161:95
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Tong HL, Quiroz JC, Kocaballi AB, Fat SCM, Dao KP, Gehringer H, Chow CK, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532
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Kang J, Andy H, Sung H. Moderating Effect of ICT Use and Neighborhood Walkability on Subjective Quality of Life. Journal of Korea Planning Association 2021;56(2):37
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Martin CK, Gilmore LA, Apolzan JW, Myers CA, Thomas DM, Redman LM. Smartloss: A Personalized Mobile Health Intervention for Weight Management and Health Promotion. JMIR mHealth and uHealth 2016;4(1):e18
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Vitale E, Vion Génovese V, Allenet B. Les outils numériques au service de l’éducation thérapeutique : leurre ou pertinence ? revue narrative de la littérature. Education Thérapeutique du Patient - Therapeutic Patient Education 2021;13(1):10601
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Payne JE, Turk MT, Kalarchian MA, Pellegrini CA. Adherence to mobile‐app‐based dietary self‐monitoring—Impact on weight loss in adults. Obesity Science & Practice 2022;8(3):279
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Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817
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Fjeldsoe BS, Goode AD, Job J, Eakin EG, Spilsbury KL, Winkler E. Dose and engagement during an extended contact physical activity and dietary behavior change intervention delivered via tailored text messaging: exploring relationships with behavioral outcomes. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1)
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Tong HL, Quiroz JC, Kocaballi AB, Ijaz K, Coiera E, Chow CK, Laranjo L. A personalized mobile app for physical activity: An experimental mixed-methods study. DIGITAL HEALTH 2022;8:205520762211150
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Taylor VA, Moseley I, Sun S, Smith R, Roy A, Ludwig VU, Brewer JA. Awareness drives changes in reward value which predict eating behavior change: Probing reinforcement learning using experience sampling from mobile mindfulness training for maladaptive eating. Journal of Behavioral Addictions 2021;10(3):482
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Zhang N, Zhou M, Li M, Ma G. Effects of Smartphone-Based Remote Interventions on Dietary Intake, Physical Activity, Weight Control, and Related Health Benefits Among the Older Population With Overweight and Obesity in China: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e41926
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Chen J, Guo J, Zhong Q, Jiang Y, Zhang H, Mao P, Huang Q, Lin C, Hoffmann T. Smartphone-Based Cancer and Obesity Prevention Education Program for Chinese Women (SCOPE): A Pilot RCT. International Journal of Environmental Research and Public Health 2023;20(10):5768
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Ayyanu R, Arul A, Song N, Anand Babu Christus A, Li X, Tamilselvan G, Bu Y, Kavitha S, Zhang Z, Liu N. Wearable sensor platforms for real-time monitoring and early warning of metabolic disorders in humans. The Analyst 2023;148(19):4616
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.2164):
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. Handbook of Large-Scale Distributed Computing in Smart Healthcare. 2017. Chapter 13:359
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Thomas JG, Bond DS. The ASMBS Textbook of Bariatric Surgery. 2014. Chapter 7:55
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Lamboglia CG, Carvalho LDM, Filho JEDV, Lopes de Sousa FC, Silva CB. Handbook of Research on Holistic Perspectives in Gamification for Clinical Practice. 2016. chapter 21:475
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Lamboglia CG, Carvalho LDM, Filho JEDV, Lopes de Sousa FC, Silva CB. Healthcare Policy and Reform. 2019. chapter 38:830
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. M‐Health: Fundamentals and Applications. 2016. :189
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