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Citing this Article

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Published on 15.04.13 in Vol 15, No 4 (2013): April

This paper is in the following e-collection/theme issue:

Works citing "Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2283):

(note that this is only a small subset of citations)

  1. Subhi MA, Ali SH, Mohammed MA. Vision-Based Approaches for Automatic Food Recognition and Dietary Assessment: A Survey. IEEE Access 2019;7:35370
    CrossRef
  2. Park E, Lee HY. Environment Factors Affecting Childhood Obesity: Voices from Students, Parents, and Teachers with Photograph. Journal of Korean Academy of Nursing 2019;49(3):254
    CrossRef
  3. Rohde A, Duensing A, Dawczynski C, Godemann J, Lorkowski S, Brombach C. An App to Improve Eating Habits of Adolescents and Young Adults (Challenge to Go): Systematic Development of a Theory-Based and Target Group–Adapted Mobile App Intervention. JMIR mHealth and uHealth 2019;7(8):e11575
    CrossRef
  4. Richter JM, Ha JB, Marx M, Campbell EJ, Pandolfi MC. A Digital Preprocedure Instruction Program for Outpatient Colonoscopy. Telemedicine and e-Health 2019;
    CrossRef
  5. Holtz B, Vasold K, Cotten S, Mackert M, Zhang M. Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study. JMIR mHealth and uHealth 2019;7(1):e9929
    CrossRef
  6. Lee K, Kim H, Lee S, Ha H. Changes in Weight and Health-Related Behavior Using Smartphone Applications in Patients With Colorectal Polyps. Journal of Nutrition Education and Behavior 2019;51(5):539
    CrossRef
  7. Wagner N. Doing Away with the Agential Bias: Agency and Patiency in Health Monitoring Applications. Philosophy & Technology 2019;32(1):135
    CrossRef
  8. Fino E, Mazzetti M. Monitoring healthy and disturbed sleep through smartphone applications: a review of experimental evidence. Sleep and Breathing 2019;23(1):13
    CrossRef
  9. Ashrafzadeh S, Hamdy O. Patient-Driven Diabetes Care of the Future in the Technology Era. Cell Metabolism 2019;29(3):564
    CrossRef
  10. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894
    CrossRef
  11. Chen J, Berkman W, Bardouh M, Ng CYK, Allman-Farinelli M. The use of a food logging app in the naturalistic setting fails to provide accurate measurements of nutrients and poses usability challenges. Nutrition 2019;57:208
    CrossRef
  12. Gordon G, Rhoads A. Field-deployable measurements of free-living individuals to determine energy balance: fuel substrate usage through δ13C in breath CO2 and diet through hair δ13C and δ15N values. Isotopes in Environmental and Health Studies 2019;55(1):70
    CrossRef
  13. Holzmann SL, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31
    CrossRef
  14. Rijsbergen M, Niemeyer‐van der Kolk T, Rijneveld R, Pinckaers J, Meshcheriakov I, Bouwes Bavinck J, van Doorn M, Hogendoorn G, Feiss G, Cohen A, Burggraaf J, van Poelgeest M, Rissmann R. Mobile e‐diary application facilitates the monitoring of patient‐reported outcomes and a high treatment adherence for clinical trials in dermatology. Journal of the European Academy of Dermatology and Venereology 2019;
    CrossRef
  15. Alnasser A, Kyle J, Aloumi N, Al-Khalifa A, Marais D. The Twazon Arabic Weight Loss App: App-Based Intervention for Saudi Women With Obesity. JMIR mHealth and uHealth 2019;7(5):e10923
    CrossRef
  16. Singh K, Diamantidis CJ, Ramani S, Bhavsar NA, Mara P, Warner J, Rodriguez J, Wang T, Wright-Nunes J. Patients’ and Nephrologists’ Evaluation of Patient-Facing Smartphone Apps for CKD. Clinical Journal of the American Society of Nephrology 2019;14(4):523
    CrossRef
  17. Alnuaimi A, Rawaf S, Hassounah S, Chehab M. Use of mobile applications in the management of overweight and obesity in primary and secondary care. JRSM Open 2019;10(3):205427041984382
    CrossRef
  18. 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)
    CrossRef
  19. Wilson T, Garcia-Perez I, Posma JM, Lloyd AJ, Chambers ES, Tailliart K, Zubair H, Beckmann M, Mathers JC, Holmes E, Frost G, Draper J. Spot and Cumulative Urine Samples Are Suitable Replacements for 24-Hour Urine Collections for Objective Measures of Dietary Exposure in Adults Using Metabolite Biomarkers. The Journal of Nutrition 2019;
    CrossRef
  20. Lev-On A, Lowenstein-Barkai H. Viewing diaries in an age of new media: An exploratory analysis of mobile phone app diaries versus paper diaries. Methodological Innovations 2019;12(1):205979911984444
    CrossRef
  21. Frie K, Hartmann-Boyce J, Pilbeam C, Jebb S, Aveyard P. Analysing self-regulatory behaviours in response to daily weighing: a think-aloud study with follow-up interviews. Psychology & Health 2019;:1
    CrossRef
  22. Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR Human Factors 2019;6(3):e11544
    CrossRef
  23. Patel ML, Hopkins CM, Brooks TL, Bennett GG. Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(2):e12209
    CrossRef
  24. Banerjee P, Mendu VVR, Korrapati D, Gavaravarapu SM. Calorie counting smart phone apps: Effectiveness in nutritional awareness, lifestyle modification and weight management among young Indian adults. Health Informatics Journal 2019;:146045821985253
    CrossRef
  25. Menon U, Ashing K, Chang MW, Christy SM, Friberg-Felsted K, Rivas VG, Gwede CK, Lu Q, Meade CD, Sly J, Wang M, Yanez B, Yeary K, Yi JC, Alcaraz KI. Application of the ConNECT Framework to Precision Health and Health Disparities. Nursing Research 2019;68(2):99
    CrossRef
  26. Luo D, Wang P, Lu F, Elias J, Sparks JA, Lee YC. Mobile Apps for Individuals With Rheumatoid Arthritis. JCR: Journal of Clinical Rheumatology 2019;25(3):133
    CrossRef
  27. Yasutake K, Umeki Y, Horita N, Morita R, Murata Y, Ohe K, Tsuchihashi T, Enjoji M. A self‐monitoring urinary salt excretion level measurement device for educating young women about salt reduction: A parallel randomized trial involving two groups. The Journal of Clinical Hypertension 2019;21(6):730
    CrossRef
  28. Tilston TW, Brown RD, Wateridge MJ, Arms-Williams B, Walker JJ, Sun Y, Wells T. A Novel Automated System Yields Reproducible Temporal Feeding Patterns in Laboratory Rodents. The Journal of Nutrition 2019;149(9):1674
    CrossRef
  29. Ali ZC, Shakir S, Aslam TM. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86
    CrossRef
  30. Asbjørnsen RA, Smedsrød ML, Solberg Nes L, Wentzel J, Varsi C, Hjelmesæth J, van Gemert-Pijnen JE. Persuasive System Design Principles and Behavior Change Techniques to Stimulate Motivation and Adherence in Electronic Health Interventions to Support Weight Loss Maintenance: Scoping Review. Journal of Medical Internet Research 2019;21(6):e14265
    CrossRef
  31. Salgado García FI, Derefinko KJ, Bursac Z, Klesges RC, Ebbert JO, Womack CR, Krukowski RA. Fit & quit: An efficacy trial of two behavioral post-cessation weight gain interventions. Contemporary Clinical Trials 2019;76:31
    CrossRef
  32. Anastasiadou D, Folkvord F, Serrano-Troncoso E, Lupiañez-Villanueva F. Mobile Health Adoption in Mental Health: User Experience of a Mobile Health App for Patients With an Eating Disorder. JMIR mHealth and uHealth 2019;7(6):e12920
    CrossRef
  33. Mata J, Pecorelli N, Kaneva P, Moldoveanu D, Gosselin-Tardiff A, Alhashemi M, Robitaille S, Balvardi S, Lee L, Stein BL, Liberman S, Charlebois P, Fiore JF, Feldman LS. A mobile device application (app) to improve adherence to an enhanced recovery program for colorectal surgery: a randomized controlled trial. Surgical Endoscopy 2019;
    CrossRef
  34. 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
    CrossRef
  35. Fakih El Khoury C, Karavetian M, Halfens RJ, Crutzen R, Khoja L, Schols JM. The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis. Journal of the Academy of Nutrition and Dietetics 2019;119(4):626
    CrossRef
  36. Kliemann N, Croker H, Johnson F, Beeken RJ. Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study. JMIR mHealth and uHealth 2019;7(5):e12326
    CrossRef
  37. Ali ZC, Shakir S, Aslam TM. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86
    CrossRef
  38. Pope Z, Lee JE, Zeng N, Lee HY, Gao Z. Feasibility of smartphone application and social media intervention on breast cancer survivors’ health outcomes. Translational Behavioral Medicine 2019;9(1):11
    CrossRef
  39. Lemacks J, Adams K, Lovetere A. Dietary Intake Reporting Accuracy of the Bridge2U Mobile Application Food Log Compared to Control Meal and Dietary Recall Methods. Nutrients 2019;11(1):199
    CrossRef
  40. Mangieri CW, Johnson RJ, Sweeney LB, Choi YU, Wood JC. Mobile health applications enhance weight loss efficacy following bariatric surgery. Obesity Research & Clinical Practice 2019;13(2):176
    CrossRef
  41. Pentikäinen S, Tanner H, Karhunen L, Kolehmainen M, Poutanen K, Pennanen K. Mobile Phone App for Self-Monitoring of Eating Rhythm: Field Experiment. JMIR mHealth and uHealth 2019;7(3):e11490
    CrossRef
  42. Bhattarai P, Newton-John TRO, Phillips JL. Quality and Usability of Arthritic Pain Self-Management Apps for Older Adults: A Systematic Review. Pain Medicine 2018;19(3):471
    CrossRef
  43. Elaheebocus SMRA, Weal M, Morrison L, Yardley L. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. Journal of Medical Internet Research 2018;20(2):e20
    CrossRef
  44. Cangelosi J, Kim D, Ranelli E, Griffin K. A needs assessment study of what health care consumers seek from social media and social networking. Health Marketing Quarterly 2018;35(4):266
    CrossRef
  45. Lupton D. ‘I Just Want It to Be Done, Done, Done!’ Food Tracking Apps, Affects, and Agential Capacities. Multimodal Technologies and Interaction 2018;2(2):29
    CrossRef
  46. 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
    CrossRef
  47. Ben Neriah D, Geliebter A. Weight Loss Following Use of a Smartphone Food Photo Feature: Retrospective Cohort Study (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  48. Brindal E, Hendrie GA, Freyne J, Noakes M. Incorporating a Static Versus Supportive Mobile Phone App Into a Partial Meal Replacement Program With Face-to-Face Support: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(4):e41
    CrossRef
  49. Mao L, Bai W, Huo Y, Zhou Y, Yao C, Xi S, Chen X, Sun Y. Cross-sectional study of contraceptive use among Chinese women of reproductive age: results based on a mobile application (APP)-derived data. Archives of Gynecology and Obstetrics 2018;297(5):1193
    CrossRef
  50. Lyzwinski LN, Caffery LJ, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a review of qualitative studies. Journal of Telemedicine and Telecare 2018;24(4):290
    CrossRef
  51. Hamdy O, Ashrafzadeh S, Mottalib A. Weight Management in Patients with Type 2 Diabetes: a Multidisciplinary Real-world Approach. Current Diabetes Reports 2018;18(9)
    CrossRef
  52. Tárraga Marcos M, Panisello Royo J, Carbayo Herencia J, Rosich Domenech N, Alins Presas J, Castell Panisello E, Tárraga López P. Análisis de relevancia clínica aplicado a 3 métodos de reducción de peso en pacientes con sobrepeso u obesidad seguidos durante un año. Hipertensión y Riesgo Vascular 2018;35(1):5
    CrossRef
  53. van Beurden SB, Simmons SI, Tang JCH, Mewse AJ, Abraham C, Greaves CJ. Informing the development of online weight management interventions: a qualitative investigation of primary care patient perceptions. BMC Obesity 2018;5(1)
    CrossRef
  54. Egger G. Defining a Structure and Methodology for the Practice of Lifestyle Medicine. American Journal of Lifestyle Medicine 2018;12(5):396
    CrossRef
  55. Springer A, Venkatakrishnan A, Mohan S, Nelson L, Silva M, Pirolli P. Leveraging Self-Affirmation to Improve Behavior Change: A Mobile Health App Experiment. JMIR mHealth and uHealth 2018;6(7):e157
    CrossRef
  56. Koch MC, Lermann J, van de Roemer N, Renner SK, Burghaus S, Hackl J, Dittrich R, Kehl S, Oppelt PG, Hildebrandt T, Hack CC, Pöhls UG, Renner SP, Thiel FC. RETRACTED ARTICLE: Improving usability and pregnancy rates of a fertility monitor by an additional mobile application: results of a retrospective efficacy study of Daysy and DaysyView app. Reproductive Health 2018;15(1)
    CrossRef
  57. Ho TJH, Lee CCS, Wong SN, Lau Y. Internet-based self-monitoring interventions for overweight and obese adolescents: A systematic review and meta-analysis. International Journal of Medical Informatics 2018;120:20
    CrossRef
  58. Maringer M, van’t Veer P, Klepacz N, Verain MCD, Normann A, Ekman S, Timotijevic L, Raats MM, Geelen A. User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research. Nutrition Journal 2018;17(1)
    CrossRef
  59. Macridis S, Johnston N, Johnson S, Vallance JK, Jan Y. Consumer physical activity tracking device ownership and use among a population-based sample of adults. PLOS ONE 2018;13(1):e0189298
    CrossRef
  60. Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1)
    CrossRef
  61. Claudel SE, Bertoni AG. Exploring the Use of Personal Technology in Type 2 Diabetes Management Among Ethnic Minority Patients: Cross-Sectional Analysis of Survey Data from the Lifestyle Intervention for the Treatment of Diabetes Study (LIFT Diabetes). JMIR Diabetes 2018;3(1):e5
    CrossRef
  62. Paldan K, Sauer H, Wagner N. Promoting inequality? Self-monitoring applications and the problem of social justice. AI & SOCIETY 2018;
    CrossRef
  63. Lee H, Uhm KE, Cheong IY, Yoo JS, Chung SH, Park YH, Lee JY, Hwang JH. Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors. Journal of Medical Systems 2018;42(12)
    CrossRef
  64. Han M, Cho B, Kwon H, Son K, Lee H, Park J. Mobile-Based Comprehensive Weight Reduction Program of the Workplace (Health-On): Development and a Pilot Study (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  65. Forgács A, Bóna E, Csíkos T, Metercsik H. Media messages and eating disorders: Taste and price of a message. Society and Economy 2018;40(3):401
    CrossRef
  66. Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750
    CrossRef
  67. Eldridge A, Piernas C, Illner A, Gibney M, Gurinović M, de Vries J, Cade J. Evaluation of New Technology-Based Tools for Dietary Intake Assessment—An ILSI Europe Dietary Intake and Exposure Task Force Evaluation. Nutrients 2018;11(1):55
    CrossRef
  68. Bell K, Warnick E, Nicholson K, Ulcoq S, Kim SJ, Schroeder GD, Vaccaro A. Patient Adoption and Utilization of a Web-Based and Mobile-Based Portal for Collecting Outcomes After Elective Orthopedic Surgery. American Journal of Medical Quality 2018;33(6):649
    CrossRef
  69. Veríssimo JMC. Usage intensity of mobile medical apps: A tale of two methods. Journal of Business Research 2018;89:442
    CrossRef
  70. Ledford CJW, Womack JJ, Rider HA, Seehusen AB, Conner SJ, Lauters RA, Hodge JA. Unexpected Effects of a System-Distributed Mobile Application in Maternity Care: A Randomized Controlled Trial. Health Education & Behavior 2018;45(3):323
    CrossRef
  71. Braz VN, Lopes MHBDM. Evaluation of mobile applications related to nutrition. Public Health Nutrition 2018;:1
    CrossRef
  72. Chu IJH, Lim AYT, Ng CLW. Effects of meaningful weight loss beyond symptomatic relief in adults with knee osteoarthritis and obesity: a systematic review and meta-analysis. Obesity Reviews 2018;19(11):1597
    CrossRef
  73. Puigdomènech E, Robles N, Saigí F, Zamora A, Moharra M, Paluzié G, Balfegó M, Cuatrecasas G, García-Lorda P, Carrion C. How is the efficacy, safety and effectiveness of weight control and obesity management apps assessed? A systematic review (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  74. 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
    CrossRef
  75. Zhou M, Fukuoka Y, Mintz Y, Goldberg K, Kaminsky P, Flowers E, Aswani A. Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e28
    CrossRef
  76. Poppe L, Van der Mispel C, Crombez G, De Bourdeaudhuij I, Schroé H, Verloigne M. How Users Experience and Use an eHealth Intervention Based on Self-Regulation: Mixed-Methods Study. Journal of Medical Internet Research 2018;20(10):e10412
    CrossRef
  77. Walawender L, Patterson J, Strouse R, Ketz J, Saxena V, Alexy E, Schwaderer A. Mobile Technology Application for Improved Urine Concentration Measurement Pilot Study. Frontiers in Pediatrics 2018;6
    CrossRef
  78. Han M, Lee E. Effectiveness of Mobile Health Application Use to Improve Health Behavior Changes: A Systematic Review of Randomized Controlled Trials. Healthcare Informatics Research 2018;24(3):207
    CrossRef
  79. Griffiths C, Harnack L, Pereira MA. Assessment of the accuracy of nutrient calculations of five popular nutrition tracking applications. Public Health Nutrition 2018;21(8):1495
    CrossRef
  80. Anastasiadou D, Folkvord F, Lupiañez-Villanueva F. A systematic review of mHealth interventions for the support of eating disorders. European Eating Disorders Review 2018;26(5):394
    CrossRef
  81. Terhorst Y, Rathner E, Baumeister H, Sander L. «Hilfe aus dem App-Store?»: Eine systematische Übersichtsarbeit und Evaluation von Apps zur Anwendung bei Depressionen. Verhaltenstherapie 2018;28(2):101
    CrossRef
  82. Lee M, Lee H, Kim Y, Kim J, Cho M, Jang J, Jang H. Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature. International Journal of Environmental Research and Public Health 2018;15(12):2838
    CrossRef
  83. Gomis-Pastor M, Rodriguez-Murphy E, Feliu A, Ontiveros G, Garcia-Cuy�s F, Salazar A, Roig E, Mangues MA. Strategies for the follow-up of patients with chronic diseases and polypharmacy: development and implementation of a new health care approach based on mobile technology (DIPP-mHeart Study). (Preprint). JMIR Formative Research 2018;
    CrossRef
  84. Jimoh F, Lund EK, Harvey LJ, Frost C, Lay WJ, Roe MA, Berry R, Finglas PM. Comparing Diet and Exercise Monitoring Using Smartphone App and Paper Diary: A Two-Phase Intervention Study. JMIR mHealth and uHealth 2018;6(1):e17
    CrossRef
  85. Palacios C, Torres M, López D, Trak-Fellermeier M, Coccia C, Pérez C. Effectiveness of the Nutritional App “MyNutriCart” on Food Choices Related to Purchase and Dietary Behavior: A Pilot Randomized Controlled Trial. Nutrients 2018;10(12):1967
    CrossRef
  86. Jebb SA. Interventions to accelerate change towards a healthier diet. Proceedings of the Nutrition Society 2018;77(2):106
    CrossRef
  87. Palmer M, Sutherland J, Barnard S, Wynne A, Rezel E, Doel A, Grigsby-Duffy L, Edwards S, Russell S, Hotopf E, Perel P, Free C, Niaura R. The effectiveness of smoking cessation, physical activity/diet and alcohol reduction interventions delivered by mobile phones for the prevention of non-communicable diseases: A systematic review of randomised controlled trials. PLOS ONE 2018;13(1):e0189801
    CrossRef
  88. Jacobs DR, Petersen KS, Svendsen K, Ros E, Sloan CB, Steffen LM, Tapsell LC, Kris-Etherton PM. Considerations to facilitate a US study that replicates PREDIMED. Metabolism 2018;85:361
    CrossRef
  89. Lieffers JR, Arocha JF, Grindrod K, Hanning RM. Experiences and Perceptions of Adults Accessing Publicly Available Nutrition Behavior-Change Mobile Apps for Weight Management. Journal of the Academy of Nutrition and Dietetics 2018;118(2):229
    CrossRef
  90. 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
    CrossRef
  91. Cade JE. Measuring diet in the 21st century: use of new technologies. Proceedings of the Nutrition Society 2017;76(3):276
    CrossRef
  92. Plow M, Golding M. Using mHealth Technology in a Self-Management Intervention to Promote Physical Activity Among Adults With Chronic Disabling Conditions: Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e185
    CrossRef
  93. Cho J, Lee HE, Quinlan M. Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones. Journal of American College Health 2017;65(7):437
    CrossRef
  94. Ipjian ML, Johnston CS. Smartphone technology facilitates dietary change in healthy adults. Nutrition 2017;33:343
    CrossRef
  95. Isetta V, Torres M, González K, Ruiz C, Dalmases M, Embid C, Navajas D, Farré R, Montserrat JM. A New mHealth application to support treatment of sleep apnoea patients. Journal of Telemedicine and Telecare 2017;23(1):14
    CrossRef
  96. Cradock KA, ÓLaighin G, Finucane FM, Gainforth HL, Quinlan LR, Ginis KAM. Behaviour change techniques targeting both diet and physical activity in type 2 diabetes: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
    CrossRef
  97. Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H, Lawley M, Benzer JK. Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review. JMIR mHealth and uHealth 2017;5(10):e156
    CrossRef
  98. Lee C, Lee K, Lee D. Mobile Healthcare Applications and Gamification for Sustained Health Maintenance. Sustainability 2017;9(5):772
    CrossRef
  99. McCullough MB, Guilkey H, Stark L. Cookie or fruit? Relative reinforcing value of snack foods among preschoolers with overweight/obesity compared to healthy weight. Appetite 2017;111:187
    CrossRef
  100. Fuller NR, Fong M, Gerofi J, Ferkh F, Leung C, Leung L, Zhang S, Skilton M, Caterson ID. Comparison of an electronic versus traditional food diary for assessing dietary intake—A validation study. Obesity Research & Clinical Practice 2017;11(6):647
    CrossRef
  101. López D, Torres M, Vélez J, Grullon J, Negrón E, Pérez CM, Palacios C. Development and Evaluation of a Nutritional Smartphone Application for Making Smart and Healthy Choices in Grocery Shopping. Healthcare Informatics Research 2017;23(1):16
    CrossRef
  102. Melton BF, Bigham LE, Wilson C, Buman MP. Feasibility and Acceptability of Smartphones and Wearable Devices as an Intervention Tool for College-Aged African American Females in an Experimental Physical Activity Study. International Journal of Kinesiology in Higher Education 2017;1(2):63
    CrossRef
  103. Triantafyllidis AK, Velardo C, Salvi D, Shah SA, Koutkias VG, Tarassenko L. A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE Journal of Biomedical and Health Informatics 2017;21(1):218
    CrossRef
  104. Sherifali D, Nerenberg KA, Wilson S, Semeniuk K, Ali MU, Redman LM, Adamo KB. The Effectiveness of eHealth Technologies on Weight Management in Pregnant and Postpartum Women: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2017;19(10):e337
    CrossRef
  105. Nwolise CH, Carey N, Shawe J. Exploring the acceptability and feasibility of a preconception and diabetes information app for women with pregestational diabetes: A mixed-methods study protocol. DIGITAL HEALTH 2017;3:205520761772641
    CrossRef
  106. Thompson-Felty C, Johnston CS. Adherence to Diet Applications Using a Smartphone Was Associated With Weight Loss in Healthy Overweight Adults Irrespective of the Application. Journal of Diabetes Science and Technology 2017;11(1):184
    CrossRef
  107. Hackshaw-McGeagh LE, Sutton E, Persad R, Aning J, Bahl A, Koupparis A, Millett C, Martin RM, Lane JA. Acceptability of dietary and physical activity lifestyle modification for men following radiotherapy or radical prostatectomy for localised prostate cancer: a qualitative investigation. BMC Urology 2017;17(1)
    CrossRef
  108. Feigin VL, Norrving B, Mensah GA. Primary prevention of cardiovascular disease through population-wide motivational strategies: insights from using smartphones in stroke prevention. BMJ Global Health 2017;2(2):e000306
    CrossRef
  109. Kim H, Faw M, Michaelides A. Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth Intervention. Journal of Health Communication 2017;22(5):395
    CrossRef
  110. West JH, Belvedere LM, Andreasen R, Frandsen C, Hall PC, Crookston BT. Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change. JMIR mHealth and uHealth 2017;5(7):e95
    CrossRef
  111. Gregory-Smith D, Manika D. Consumers’ identities and compartmentalisation tendencies in alcohol consumption. Journal of Marketing Management 2017;33(11-12):942
    CrossRef
  112. 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. Preventive Medicine Reports 2017;6:278
    CrossRef
  113. . Strategies to Improve Adherence to Dietary Weight Loss Interventions in Research and Real-World Settings. Behavioral Sciences 2017;7(4):44
    CrossRef
  114. Brown T, Banks M, Hughes BG, Lin C, Kenny L, Bauer J. Tube feeding during treatment for head and neck cancer – Adherence and patient reported barriers. Oral Oncology 2017;72:140
    CrossRef
  115. Bobian M, Kandinov A, El-Kashlan N, Svider PF, Folbe AJ, Mayerhoff R, Eloy JA, Raza SN. Mobile applications and patient education: Are currently available GERD mobile apps sufficient?. The Laryngoscope 2017;127(8):1775
    CrossRef
  116. Zhang H, Jiang Y, Nguyen HD, Poo DCC, Wang W. The effect of a smartphone-based coronary heart disease prevention (SBCHDP) programme on awareness and knowledge of CHD, stress, and cardiac-related lifestyle behaviours among the working population in Singapore: a pilot randomised controlled trial. Health and Quality of Life Outcomes 2017;15(1)
    CrossRef
  117. Schippers M, Adam PCG, Smolenski DJ, Wong HTH, de Wit JBF. A meta-analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration. Obesity Reviews 2017;18(4):450
    CrossRef
  118. McCarroll R, Eyles H, Ni Mhurchu C. Effectiveness of mobile health (mHealth) interventions for promoting healthy eating in adults: A systematic review. Preventive Medicine 2017;105:156
    CrossRef
  119. Kwon M, Mun K, Lee JK, McLeod DM, D’Angelo J. Is mobile health all peer pressure? The influence of mass media exposure on the motivation to use mobile health apps. Convergence: The International Journal of Research into New Media Technologies 2017;23(6):565
    CrossRef
  120. Chen J, Lieffers J, Bauman A, Hanning R, Allman-Farinelli M. Designing Health Apps to Support Dietetic Professional Practice and Their Patients: Qualitative Results From an International Survey. JMIR mHealth and uHealth 2017;5(3):e40
    CrossRef
  121. Manika D, Gregory-Smith D, Antonetti P. Pride in Technology-Based Health Interventions: A Double-Edged Sword. Psychology & Marketing 2017;34(4):410
    CrossRef
  122. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254
    CrossRef
  123. Kozak AT, Buscemi J, Hawkins MAW, Wang ML, Breland JY, Ross KM, Kommu A. Technology-based interventions for weight management: current randomized controlled trial evidence and future directions. Journal of Behavioral Medicine 2017;40(1):99
    CrossRef
  124. Lee J, Song S, Ahn J, Kim Y, Lee J. Use of a Mobile Application for Self-Monitoring Dietary Intake: Feasibility Test and an Intervention Study. Nutrients 2017;9(7):748
    CrossRef
  125. Carter MC, Burley VJ, Cade JE. Weight Loss Associated With Different Patterns of Self-Monitoring Using the Mobile Phone App My Meal Mate. JMIR mHealth and uHealth 2017;5(2):e8
    CrossRef
  126. Bissell K, Conlin Maxwell L, Zhang X, Bie B, McLemore D. Let Go of My iPad: Testing the Effectiveness of New Media Technologies to Measure Children’s Food Intake and Health Behaviors. Mass Communication and Society 2017;20(4):550
    CrossRef
  127. Rodriguez-Paras C, Sasangohar F. Usability Assessment of a Post-Traumatic Stress Disorder (PTSD) mHealth App. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2017;61(1):1824
    CrossRef
  128. Darcy AM, Lock J. Using Technology to Improve Treatment Outcomes for Children and Adolescents with Eating Disorders. Child and Adolescent Psychiatric Clinics of North America 2017;26(1):33
    CrossRef
  129. Painter SL, Ahmed R, Hill JO, Kushner RF, Lindquist R, Brunning S, Margulies A. What Matters in Weight Loss? An In-Depth Analysis of Self-Monitoring. Journal of Medical Internet Research 2017;19(5):e160
    CrossRef
  130. Vangeepuram N, Williams N, Constable J, Waldman L, Lopez-Belin P, Phelps-Waldropt L, Horowitz CR. TEEN HEED: Design of a clinical-community youth diabetes prevention intervention. Contemporary Clinical Trials 2017;57:23
    CrossRef
  131. Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Education and Counseling 2017;100(12):2231
    CrossRef
  132. Eikey EV, Reddy MC, Booth KM, Kvasny L, Blair JL, Li V, Poole ES. Desire to Be Underweight: Exploratory Study on a Weight Loss App Community and User Perceptions of the Impact on Disordered Eating Behaviors. JMIR mHealth and uHealth 2017;5(10):e150
    CrossRef
  133. Lee HE, Cho J. What Motivates Users to Continue Using Diet and Fitness Apps? Application of the Uses and Gratifications Approach. Health Communication 2017;32(12):1445
    CrossRef
  134. Abaza H, Marschollek M. mHealth Application Areas and Technology Combinations . Methods of Information in Medicine 2017;56(S 01):e105
    CrossRef
  135. Prins-van Ginkel AC, de Hoog ML, Uiterwaal C, Smit HA, Bruijning-Verhagen PC. Detecting Acute Otitis Media Symptom Episodes Using a Mobile App: Cohort Study. JMIR mHealth and uHealth 2017;5(11):e181
    CrossRef
  136. Shen C, Wang MP, Chu JT, Wan A, Viswanath K, Chan SSC, Lam TH. Health App Possession Among Smartphone or Tablet Owners in Hong Kong: Population-Based Survey. JMIR mHealth and uHealth 2017;5(6):e77
    CrossRef
  137. Sieverink F, Kelders SM, van Gemert-Pijnen JE. Clarifying the Concept of Adherence to eHealth Technology: Systematic Review on When Usage Becomes Adherence. Journal of Medical Internet Research 2017;19(12):e402
    CrossRef
  138. Sarcona A, Kovacs L, Wright J, Williams C. Differences in Eating Behavior, Physical Activity, and Health-related Lifestyle Choices between Users and Nonusers of Mobile Health Apps. American Journal of Health Education 2017;48(5):298
    CrossRef
  139. Zhao J, Freeman B, Li M. Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review. Journal of Medical Internet Research 2016;18(11):e287
    CrossRef
  140. James Cobb W. Research Methods in Medicine and Health Sciences. MOJ Anatomy & Physiology 2016;2(4)
    CrossRef
  141. Carter M, Hancock N, Albar S, Brown H, Greenwood D, Hardie L, Frost G, Wark P, Cade J. Development of a New Branded UK Food Composition Database for an Online Dietary Assessment Tool. Nutrients 2016;8(8):480
    CrossRef
  142. Piwek L, Ellis DA. Can Programming Frameworks Bring Smartphones into the Mainstream of Psychological Science?. Frontiers in Psychology 2016;7
    CrossRef
  143. Rodgers RF, Franko DL, Shiyko M, Intille S, Wilson K, O’Carroll D, Lovering M, Matsumoto A, Iannuccilli A, Luk S, Shoemaker H. Exploring healthy eating among ethnic minority students using mobile technology: Feasibility and adherence. Health Informatics Journal 2016;22(3):440
    CrossRef
  144. Jung J, Jeon SH, Bae HJ, Cho Y, Hur Y, Sung EJ, Kang J. Development of a Smartphone Application for 4th-6th Grade Elementary Students Aimed to Prevent Childhood Obesity. The Korean Journal of Obesity 2016;25(2):99
    CrossRef
  145. Nguyen HH, Silva JN. Use of smartphone technology in cardiology. Trends in Cardiovascular Medicine 2016;26(4):376
    CrossRef
  146. Feigin VL, Norrving B, George MG, Foltz JL, Roth GA, Mensah GA. Prevention of stroke: a strategic global imperative. Nature Reviews Neurology 2016;12(9):501
    CrossRef
  147. Piwek L, Ellis DA, Andrews S, Joinson A. The Rise of Consumer Health Wearables: Promises and Barriers. PLOS Medicine 2016;13(2):e1001953
    CrossRef
  148. Ahmed AH, Roumani AM, Szucs K, Zhang L, King D. The Effect of Interactive Web-Based Monitoring on Breastfeeding Exclusivity, Intensity, and Duration in Healthy, Term Infants After Hospital Discharge. Journal of Obstetric, Gynecologic & Neonatal Nursing 2016;45(2):143
    CrossRef
  149. Higgins JP. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11
    CrossRef
  150. Turner-McGrievy GM, Wilcox S, Kaczynski AT, Spruijt-Metz D, Hutto BE, Muth ER, Hoover A. Crowdsourcing for self-monitoring: Using the Traffic Light Diet and crowdsourcing to provide dietary feedback. DIGITAL HEALTH 2016;2:205520761665721
    CrossRef
  151. Kinderman P, Hagan P, King S, Bowman J, Chahal J, Gan L, McKnight R, Waldon C, Smith M, Gilbertson J, Tai S. The feasibility and effectiveness of Catch It, an innovative CBT smartphone app. BJPsych Open 2016;2(3):204
    CrossRef
  152. Ivanova E, Lindner P, Ly KH, Dahlin M, Vernmark K, Andersson G, Carlbring P. Guided and unguided Acceptance and Commitment Therapy for social anxiety disorder and/or panic disorder provided via the Internet and a smartphone application: A randomized controlled trial. Journal of Anxiety Disorders 2016;44:27
    CrossRef
  153. Haggerty AF, Huepenbecker S, Sarwer DB, Spitzer J, Raggio G, Chu CS, Ko E, Allison KC. The use of novel technology-based weight loss interventions for obese women with endometrial hyperplasia and cancer. Gynecologic Oncology 2016;140(2):239
    CrossRef
  154. Jun M, Ha J. Effect of Smartphone Apps Applying BodyThink Program on Obesity in Adolescent Girls. Journal of Korean Academy of Nursing 2016;46(3):390
    CrossRef
  155. Gibson AA, Hsu MSH, Rangan AM, Seimon RV, Lee CMY, Das A, Finch CH, Sainsbury A. Accuracy of hands v. household measures as portion size estimation aids. Journal of Nutritional Science 2016;5
    CrossRef
  156. Arean PA, Hallgren KA, Jordan JT, Gazzaley A, Atkins DC, Heagerty PJ, Anguera JA. The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial. Journal of Medical Internet Research 2016;18(12):e330
    CrossRef
  157. Fazzino TL, Sporn NJ, Befort CA. A qualitative evaluation of a group phone-based weight loss intervention for rural breast cancer survivors: Themes and mechanisms of success. Supportive Care in Cancer 2016;
    CrossRef
  158. Peng W, Kanthawala S, Yuan S, Hussain SA. A qualitative study of user perceptions of mobile health apps. BMC Public Health 2016;16(1)
    CrossRef
  159. Darby A, Strum MW, Holmes E, Gatwood J. A Review of Nutritional Tracking Mobile Applications for Diabetes Patient Use. Diabetes Technology & Therapeutics 2016;18(3):200
    CrossRef
  160. Rodgers RF, Pernal W, Matsumoto A, Shiyko M, Intille S, Franko DL. Capitalizing on mobile technology to support healthy eating in ethnic minority college students. Journal of American College Health 2016;64(2):125
    CrossRef
  161. Kim JY, Wineinger NE, Taitel M, Radin JM, Akinbosoye O, Jiang J, Nikzad N, Orr G, Topol E, Steinhubl S. Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors. Journal of Medical Internet Research 2016;18(11):e292
    CrossRef
  162. Ehlers DK, Fanning J, Awick EA, Kramer AF, McAuley E, Buchowski M. Contamination by an Active Control Condition in a Randomized Exercise Trial. PLOS ONE 2016;11(10):e0164246
    CrossRef
  163. Cowan S. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348
    CrossRef
  164. Wang Q, Egelandsdal B, Amdam GV, Almli VL, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33
    CrossRef
  165. Ong AA, Gillespie MB. Overview of smartphone applications for sleep analysis. World Journal of Otorhinolaryngology-Head and Neck Surgery 2016;2(1):45
    CrossRef
  166. Du H, Venkatakrishnan A, Youngblood GM, Ram A, Pirolli P. A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study. JMIR mHealth and uHealth 2016;4(1):e4
    CrossRef
  167. Chen J, Bauman A, Allman-Farinelli M. A Study to Determine the Most Popular Lifestyle Smartphone Applications and Willingness of the Public to Share Their Personal Data for Health Research. Telemedicine and e-Health 2016;22(8):655
    CrossRef
  168. Cho J. The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics 2016;87:75
    CrossRef
  169. Hartman DJ. Mobile Technology for the Practice of Pathology. Advances In Anatomic Pathology 2016;23(2):118
    CrossRef
  170. Dute DJ, Bemelmans WJE, Breda J. Using Mobile Apps to Promote a Healthy Lifestyle Among Adolescents and Students: A Review of the Theoretical Basis and Lessons Learned. JMIR mHealth and uHealth 2016;4(2):e39
    CrossRef
  171. Serrano KJ, Yu M, Coa KI, Collins LM, Atienza AA. Mining Health App Data to Find More and Less Successful Weight Loss Subgroups. Journal of Medical Internet Research 2016;18(6):e154
    CrossRef
  172. Kim JY, Wineinger NE, Steinhubl SR. The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e116
    CrossRef
  173. Pourzanjani A, Quisel T, Foschini L, Earnest CP. Adherent Use of Digital Health Trackers Is Associated with Weight Loss. PLOS ONE 2016;11(4):e0152504
    CrossRef
  174. Zeng EY, Heffner JL, Copeland WK, Mull KE, Bricker JB. Get with the program: Adherence to a smartphone app for smoking cessation. Addictive Behaviors 2016;63:120
    CrossRef
  175. Alqahtani AS, BinDhim NF, Tashani M, Willaby HW, Wiley KE, Heywood AE, Booy R, Rashid H. Pilot use of a novel smartphone application to track traveller health behaviour and collect infectious disease data during a mass gathering: Hajj pilgrimage 2014. Journal of Epidemiology and Global Health 2016;6(3):147
    CrossRef
  176. Tanenbaum ML, Ross KM, Wing RR. Overeat today, skip the scale tomorrow: An examination of caloric intake predicting nonadherence to daily self-weighing. Obesity 2016;24(11):2341
    CrossRef
  177. Singh K, Drouin K, Newmark LP, Filkins M, Silvers E, Bain PA, Zulman DM, Lee J, Rozenblum R, Pabo E, Landman A, Klinger EV, Bates DW. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136
    CrossRef
  178. Partridge SR, Allman-Farinelli M, McGeechan K, Balestracci K, Wong AT, Hebden L, Harris MF, Bauman A, Phongsavan P. Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  179. Choo S, Kim JY, Jung SY, Kim S, Kim JE, Han JS, Kim S, Kim JH, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24
    CrossRef
  180. Tort E, Aguilar-Martínez A, Medina FX, Saigí-Rubió F. Visión de los profesionales sobre las posibilidades de uso y las funcionalidades de las aplicaciones móviles para el tratamiento de la obesidad y el sobrepeso. Atención Primaria 2016;48(2):138
    CrossRef
  181. Olson CM. Behavioral Nutrition Interventions Using e- and m-Health Communication Technologies: A Narrative Review. Annual Review of Nutrition 2016;36(1):647
    CrossRef
  182. Verwey R, van der Weegen S, Spreeuwenberg M, Tange H, van der Weijden T, de Witte L. Process evaluation of physical activity counselling with and without the use of mobile technology: A mixed methods study. International Journal of Nursing Studies 2016;53:3
    CrossRef
  183. Jiang Y, Sereika S, DeVito Dabbs A, Handler S, Schlenk E. Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation. Applied Clinical Informatics 2016;07(02):430
    CrossRef
  184. Serdarevic M, Fazzino TL, MacLean CD, Rose GL, Helzer JE. Recruiting 9126 Primary Care Patients by Telephone: Characteristics of Participants Reached on Landlines, Basic Cell Phones, and Smartphones. Population Health Management 2016;19(3):212
    CrossRef
  185. Jankowski J, Saganowski S, Bródka P. Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials. Mobile Information Systems 2016;2016:1
    CrossRef
  186. Chin SO, Keum C, Woo J, Park J, Choi HJ, Woo J, Rhee SY. Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Scientific Reports 2016;6(1)
    CrossRef
  187. Steinert A, Haesner M, Tetley A, Steinhagen-Thiessen E. Self-Monitoring of Health-Related Goals in Older Adults with Use of a Smartphone Application. Activities, Adaptation & Aging 2016;40(2):81
    CrossRef
  188. Flores Mateo G, Granado-Font E, Ferré-Grau C, Montaña-Carreras X. Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2015;17(11):e253
    CrossRef
  189. 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
    CrossRef
  190. Steinert A, Haesner M, Tetley A, Steinhagen-Thiessen E. Nutzungsverhalten einer Gesundheitsapplikation zum Selbstmonitoring von Senioren. Prävention und Gesundheitsförderung 2015;10(4):281
    CrossRef
  191. Gilliland J, Sadler R, Clark A, O’Connor C, Milczarek M, Doherty S. Using a Smartphone Application to Promote Healthy Dietary Behaviours and Local Food Consumption. BioMed Research International 2015;2015:1
    CrossRef
  192. Waki K, Aizawa K, Kato S, Fujita H, Lee H, Kobayashi H, Ogawa M, Mouri K, Kadowaki T, Ohe K. DialBetics With a Multimedia Food Recording Tool, FoodLog. Journal of Diabetes Science and Technology 2015;9(3):534
    CrossRef
  193. McCarroll ML, Armbruster S, Pohle-Krauza RJ, Lyzen AM, Min S, Nash DW, Roulette GD, Andrews SJ, von Gruenigen VE. Feasibility of a lifestyle intervention for overweight/obese endometrial and breast cancer survivors using an interactive mobile application. Gynecologic Oncology 2015;137(3):508
    CrossRef
  194. Lee JY, Park H, Min YH. Transtheoretical Model-based Nursing Intervention on Lifestyle Change: A Review Focused on Intervention Delivery Methods. Asian Nursing Research 2015;9(2):158
    CrossRef
  195. Dalcin AT, Jerome GJ, Fitzpatrick SL, Louis TA, Wang N, Bennett WL, Durkin N, Clark JM, Daumit GL, Appel LJ, Coughlin JW. Perceived helpfulness of the individual components of a behavioural weight loss program: results from the Hopkins POWER Trial. Obesity Science & Practice 2015;1(1):23
    CrossRef
  196. Chen J, Cade JE, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104
    CrossRef
  197. Riaz S, Sykes C. Are smartphone health applications effective in modifying obesity and smoking behaviours? A systematic review. Health and Technology 2015;5(2):73
    CrossRef
  198. Wyatt JC, Thimbleby H, Rastall P, Hoogewerf J, Wooldridge D, Williams J. What makes a good clinical app? Introducing the RCP Health Informatics Unit checklist. Clinical Medicine 2015;15(6):519
    CrossRef
  199. Marcano Belisario JS, Jamsek J, Huckvale K, O'Donoghue J, Morrison CP, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database of Systematic Reviews 2015;
    CrossRef
  200. Feigin VL, Krishnamurthi R, Bhattacharjee R, Parmar P, Theadom A, Hussein T, Purohit M, Hume P, Abbott M, Rush E, Kasabov N, Crezee I, Frielick S, Barker-Collo S, Barber PA, Arroll B, Poulton R, Ratnasabathy Y, Tobias M, Cabral N, Martins SC, Furtado LE, Lindsay P, Saposnik G, Giroud M, Béjot Y, Hacke W, Mehndiratta MM, Pandian JD, Gupta S, Padma V, Mandal DK, Kokubo Y, Ibrahim NM, Sahathevan R, Fu H, Wang W, Liu L, Hou Z, Goncalves AF, Correia M, Varakin Y, Kravchenko M, Piradov M, Saadah M, Thrift AG, Cadilhac D, Davis S, Donnan G, Lopez AD, Hankey GJ, Maujean A, Kendall E, Brainin M, Abd-Allah F, Bornstein NM, Caso V, Marquez-Romero JM, Akinyemi RO, Bin Dhim NF, Norrving B, Sindi S, Kivipelto M, Mendis S, Ikram MA, Hofman A, Mirza SS, Rothwell PM, Sandercock P, Shakir R, Sacco RL, Culebras A, Roth GA, Moradi-Lakeh M, Murray C, Narayan KV, Mensah GA, Wiebers D, Moran AE. New Strategy to Reduce the Global Burden of Stroke. Stroke 2015;46(6):1740
    CrossRef
  201. Carter M, Burley V, Cade J. Frequency of electronic dietary self monitoring using a smartphone app and weight loss. Proceedings of the Nutrition Society 2015;74(OCE4)
    CrossRef
  202. Hartmann-Boyce J, Jebb SA, Fletcher BR, Aveyard P. Self-Help for Weight Loss in Overweight and Obese Adults: Systematic Review and Meta-Analysis. American Journal of Public Health 2015;105(3):e43
    CrossRef
  203. Apovian CM, Garvey WT, Ryan DH. Challenging obesity: Patient, provider, and expert perspectives on the roles of available and emerging nonsurgical therapies. Obesity 2015;23:S1
    CrossRef
  204. Yu Z, Sealey-Potts C, Rodriguez J. Dietary Self-Monitoring in Weight Management: Current Evidence on Efficacy and Adherence. Journal of the Academy of Nutrition and Dietetics 2015;115(12):1931
    CrossRef
  205. Choi J, Park D, Noh G. The effect of Attributes of Exercise/Fitness Apps on App Usage: A Convergence Perspective Based on the Self-Determination Theory. Journal of Digital Convergence 2015;13(6):327
    CrossRef
  206. Burke LE, Ma J, Azar KM, Bennett GG, Peterson ED, Zheng Y, Riley W, Stephens J, Shah SH, Suffoletto B, Turan TN, Spring B, Steinberger J, Quinn CC. Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention. Circulation 2015;132(12):1157
    CrossRef
  207. Fukuoka Y, Gay CL, Joiner KL, Vittinghoff E. A Novel Diabetes Prevention Intervention Using a Mobile App. American Journal of Preventive Medicine 2015;49(2):223
    CrossRef
  208. Hutchesson MJ, Rollo ME, Callister R, Collins CE. Self-Monitoring of Dietary Intake by Young Women: Online Food Records Completed on Computer or Smartphone Are as Accurate as Paper-Based Food Records but More Acceptable. Journal of the Academy of Nutrition and Dietetics 2015;115(1):87
    CrossRef
  209. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar NB, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393
    CrossRef
  210. Granado-Font E, Flores-Mateo G, Sorlí-Aguilar M, Montaña-Carreras X, Ferre-Grau C, Barrera-Uriarte M, Oriol-Colominas E, Rey-Reñones C, Caules I, Satué-Gracia E. Effectiveness of a Smartphone application and wearable device for weight loss in overweight or obese primary care patients: protocol for a randomised controlled trial. BMC Public Health 2015;15(1)
    CrossRef
  211. Naslund JA, Aschbrenner KA, Barre LK, Bartels SJ. Feasibility of Popular m-Health Technologies for Activity Tracking Among Individuals with Serious Mental Illness. Telemedicine and e-Health 2015;21(3):213
    CrossRef
  212. Quante M, Kaplan ER, Rueschman M, Cailler M, Buxton OM, Redline S. Practical considerations in using accelerometers to assess physical activity, sedentary behavior, and sleep. Sleep Health 2015;1(4):275
    CrossRef
  213. Lim S, O'Reilly S, Behrens H, Skinner T, Ellis I, Dunbar JA. Effective strategies for weight loss in post-partum women: a systematic review and meta-analysis. Obesity Reviews 2015;16(11):972
    CrossRef
  214. Rangan AM, O'Connor S, Giannelli V, Yap ML, Tang LM, Roy R, Louie JCY, Hebden L, Kay J, Allman-Farinelli M. Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls. JMIR mHealth and uHealth 2015;3(4):e98
    CrossRef
  215. Aguilar-Martínez A, Tort E, Medina FX, Saigí-Rubió F. Posibilidades de las aplicaciones móviles para el abordaje de la obesidad según los profesionales. Gaceta Sanitaria 2015;29(6):419
    CrossRef
  216. Cho J, Kim SJ. Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory. Journal of Internet Computing and Services 2015;16(1):101
    CrossRef
  217. Azevedo ARP, de Sousa HML, Monteiro JAF, Lima ARNP. Future perspectives of Smartphone applications for rheumatic diseases self-management. Rheumatology International 2015;35(3):419
    CrossRef
  218. 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
    CrossRef
  219. Okorodudu DE, Bosworth HB, Corsino L. Innovative interventions to promote behavioral change in overweight or obese individuals: A review of the literature. Annals of Medicine 2015;47(3):179
    CrossRef
  220. Gill S, Panda S. A Smartphone App Reveals Erratic Diurnal Eating Patterns in Humans that Can Be Modulated for Health Benefits. Cell Metabolism 2015;22(5):789
    CrossRef
  221. Barnett J, Harricharan M, Fletcher D, Gilchrist B, Coughlan J. myPace: An Integrative Health Platform for Supporting Weight Loss and Maintenance Behaviors. IEEE Journal of Biomedical and Health Informatics 2015;19(1):109
    CrossRef
  222. Guertler D, Vandelanotte C, Kirwan M, Duncan MJ. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176
    CrossRef
  223. Nieroda M, Keeling K, Keeling D. Healthcare Self-Management Tools: Promotion or Prevention Regulatory Focus? A Scale (PR-PV) Development and Validation. Journal of Marketing Theory and Practice 2015;23(1):57
    CrossRef
  224. Santoro E, Castelnuovo G, Zoppis I, Mauri G, Sicurello F. Social media and mobile applications in chronic disease prevention and management. Frontiers in Psychology 2015;6
    CrossRef
  225. 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
    CrossRef
  226. Nierenberg AA, Hearing CM, Sande Mathias I, Young LT, Sylvia LG. Getting to wellness: The potential of the athletic model of marginal gains for the treatment of bipolar disorder. Australian & New Zealand Journal of Psychiatry 2015;49(12):1207
    CrossRef
  227. DiFilippo KN, Huang W, Andrade JE, Chapman-Novakofski KM. The use of mobile apps to improve nutrition outcomes: A systematic literature review. Journal of Telemedicine and Telecare 2015;21(5):243
    CrossRef
  228. Bonilla C, Brauer P, Royall D, Keller H, Hanning RM, DiCenso A. Use of electronic dietary assessment tools in primary care: an interdisciplinary perspective. BMC Medical Informatics and Decision Making 2015;15(1)
    CrossRef
  229. 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
    CrossRef
  230. Miller T, Chandler L, Mouttapa M. A Needs Assessment, Development, and Formative Evaluation of a Health Promotion Smartphone Application for College Students. American Journal of Health Education 2015;46(4):207
    CrossRef
  231. Raaijmakers LC, Pouwels S, Berghuis KA, Nienhuijs SW. Technology-based interventions in the treatment of overweight and obesity: A systematic review. Appetite 2015;95:138
    CrossRef
  232. Pah AR, Rasmussen-Torvik LJ, Goel S, Greenland P, Kho AN. Big Data: What Is It and What Does It Mean for Cardiovascular Research and Prevention Policy. Current Cardiovascular Risk Reports 2015;9(1)
    CrossRef
  233. Bert F, Giacometti M, Gualano MR, Siliquini R. Smartphones and Health Promotion: A Review of the Evidence. Journal of Medical Systems 2014;38(1)
    CrossRef
  234. Vashist S, Schneider E, Luong J. Commercial Smartphone-Based Devices and Smart Applications for Personalized Healthcare Monitoring and Management. Diagnostics 2014;4(3):104
    CrossRef
  235. Hundert AS, Huguet A, McGrath PJ, Stinson JN, Wheaton M. Commercially Available Mobile Phone Headache Diary Apps: A Systematic Review. JMIR mHealth and uHealth 2014;2(3):e36
    CrossRef
  236. Chen L, Wang W, Du X, Rao X, van Velthoven MH, Yang R, Zhang L, Koepsell JC, Li Y, Wu Q, Zhang Y. Effectiveness of a smart phone app on improving immunization of children in rural Sichuan Province, China: study protocol for a paired cluster randomized controlled trial. BMC Public Health 2014;14(1)
    CrossRef
  237. Lugaresi A, Rottoli MR, Patti F. Fostering adherence to injectable disease-modifying therapies in multiple sclerosis. Expert Review of Neurotherapeutics 2014;14(9):1029
    CrossRef
  238. Knight E, Petrella RJ. Prescribing Physical Activity for Healthy Aging: Longitudinal Follow-Up and Mixed Method Analysis of a Primary Care Intervention. The Physician and Sportsmedicine 2014;42(4):30
    CrossRef
  239. Gilmore LA, Duhé AF, Frost EA, Redman LM. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596
    CrossRef
  240. Turner-McGrievy GM, Helander EE, Kaipainen K, Perez-Macias JM, Korhonen I. The use of crowdsourcing for dietary self-monitoring: crowdsourced ratings of food pictures are comparable to ratings by trained observers. Journal of the American Medical Informatics Association 2014;
    CrossRef
  241. Darcy AM, Adler S, Miner A, Lock J. How smartphone applications may be implemented in the treatment of eating disorders: case reports and case series data. Advances in Eating Disorders 2014;2(3):217
    CrossRef
  242. Stevens J, Berlan ED. Applying Principles from Behavioral Economics To Promote Long-Acting Reversible Contraceptive (LARC) Methods. Perspectives on Sexual and Reproductive Health 2014;46(3):165
    CrossRef
  243. Smith KL, Kerr DA, Fenner AA, Straker LM. Adolescents Just Do Not Know What They Want: A Qualitative Study to Describe Obese Adolescents’ Experiences of Text Messaging to Support Behavior Change Maintenance Post Intervention. Journal of Medical Internet Research 2014;16(4):e103
    CrossRef
  244. Santoro E. La comunicazione della salute attraverso i social media e le applicazioni. SOCIOLOGIA DELLA COMUNICAZIONE 2014;(48):39
    CrossRef
  245. Adamo KB, Shen GX, Mottola M, Nascimento S, Jean-Philippe S, Ferraro ZM, Nerenberg K, Smith G, Ohari R, Gaudet L, Piccinini-Vallis H, McDonald S, Atkinson S, Godbout A, Robitaille J, Davidge ST, Gruslin A, Prud'homme D, Stacey D, Rossiter M, Goldfield GS, Dodd J. Obesity Prevention from Conception: A Workshop to Guide the Development of a Pan-Canadian Trial Targeting the Gestational Period. Nutrition and Metabolic Insights 2014;7:NMI.S14146
    CrossRef
  246. 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
    CrossRef
  247. BinDhim NF, McGeechan K, Trevena L. Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol. BMJ Open 2014;4(7):e005371
    CrossRef
  248. Dumitrescu . Dr. Google, The Specialist in Diabetes and Metabolic Diseases. Romanian Journal of Diabetes Nutrition and Metabolic Diseases 2014;21(3)
    CrossRef
  249. Dutton GR, Laitner MH, Perri MG. Lifestyle Interventions for Cardiovascular Disease Risk Reduction: A Systematic Review of the Effects of Diet Composition, Food Provision, and Treatment Modality on Weight Loss. Current Atherosclerosis Reports 2014;16(10)
    CrossRef
  250. Lieffers JR, Vance VA, Hanning RM. Use of Mobile Device Applications In Canadian Dietetic Practice. Canadian Journal of Dietetic Practice and Research 2014;75(1):41
    CrossRef
  251. Carter MC, Burley VJ, Cade JE. Handheld Electronic Technology for Weight Loss in Overweight/Obese Adults. Current Obesity Reports 2014;3(3):307
    CrossRef
  252. Lyzwinski L. A Systematic Review and Meta-Analysis of Mobile Devices and Weight Loss with an Intervention Content Analysis. Journal of Personalized Medicine 2014;4(3):311
    CrossRef
  253. Lewis TL, Wyatt JC. mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use. Journal of Medical Internet Research 2014;16(9):e210
    CrossRef
  254. Khokhar B, Jones J, Ronksley PE, Armstrong MJ, Caird J, Rabi D. Effectiveness of mobile electronic devices in weight loss among overweight and obese populations: a systematic review and meta-analysis. BMC Obesity 2014;1(1)
    CrossRef
  255. Szmeja MA, Cramp C, Grivell RM, Deussen AR, Yelland LN, Dodd JM. Use of a DVD to provide dietary and lifestyle information to pregnant women who are overweight or obese: a nested randomised trial. BMC Pregnancy and Childbirth 2014;14(1)
    CrossRef
  256. Sharp DB, Allman-Farinelli M. Feasibility and validity of mobile phones to assess dietary intake. Nutrition 2014;30(11-12):1257
    CrossRef
  257. Ni Mhurchu C, Whittaker R, McRobbie H, Ball K, Crawford D, Michie J, Jiang Y, Maddison R, Waterlander W, Myers K. Feasibility, acceptability and potential effectiveness of a mobile health (mHealth) weight management programme for New Zealand adults. BMC Obesity 2014;1(1)
    CrossRef
  258. Cho J, Park D, Lee HE. Cognitive Factors of Using Health Apps: Systematic Analysis of Relationships Among Health Consciousness, Health Information Orientation, eHealth Literacy, and Health App Use Efficacy. Journal of Medical Internet Research 2014;16(5):e125
    CrossRef
  259. Derbyshire E, Dancey D. Smartphone Medical Applications for Women’s Health: What Is the Evidence-Base and Feedback?. International Journal of Telemedicine and Applications 2013;2013:1
    CrossRef
  260. Donker T, Petrie K, Proudfoot J, Clarke J, Birch M, Christensen H. Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review. Journal of Medical Internet Research 2013;15(11):e247
    CrossRef
  261. Barrett MA, Humblet O, Hiatt RA, Adler NE. Big Data and Disease Prevention: From Quantified Self to Quantified Communities. Big Data 2013;1(3):168
    CrossRef
  262. Azar KM, Lesser LI, Laing BY, Stephens J, Aurora MS, Burke LE, Palaniappan LP. Mobile Applications for Weight Management. American Journal of Preventive Medicine 2013;45(5):583
    CrossRef

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