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Citing this Article

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Published on 16.12.15 in Vol 3, No 4 (2015): Oct-Dec

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

Works citing "The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4334):

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

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  3. Huang Z, Lum E, Car J. Medication Management Apps for Diabetes: Systematic Assessment of the Transparency and Reliability of Health Information Dissemination. JMIR mHealth and uHealth 2020;8(2):e15364
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  5. Wang Y, Min J, Khuri J, Xue H, Xie B, A Kaminsky L, J Cheskin L. Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews. JMIR mHealth and uHealth 2020;8(4):e15400
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  10. Liu Y, Wu S, Lin S, Chen C, Lin Y, Chen H. Usability of Food Size Aids in Mobile Dietary Reporting Apps for Young Adults: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14543
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  11. Kim M, Kim Y, Go Y, Lee S, Na M, Lee Y, Choi S, Choi HJ. Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14817
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  12. Zhou L, Saptono A, Setiawan IMA, Parmanto B. Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study. JMIR mHealth and uHealth 2020;8(1):e15060
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  19. Wang Y, Wang Y, Greene B, Sun L. An analysis and evaluation of quality and behavioral change techniques among physical activity apps in China. International Journal of Medical Informatics 2020;133:104029
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  20. Alamoodi AH, Garfan S, Zaidan BB, Zaidan AA, Shuwandy ML, Alaa M, Alsalem MA, Mohammed A, Aleesa AM, Albahri OS, Al-Hussein WA, Alobaidi OR. A systematic review into the assessment of medical apps: motivations, challenges, recommendations and methodological aspect. Health and Technology 2020;
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  21. 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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  22. Forman EM, Goldstein SP, Zhang F, Evans BC, Manasse SM, Butryn ML, Juarascio AS, Abichandani P, Martin GJ, Foster GD. OnTrack: development and feasibility of a smartphone app designed to predict and prevent dietary lapses. Translational Behavioral Medicine 2019;9(2):236
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  23. Gabizon I, Bhagirath V, Lokker C, Bhavnani SP, Lonn E. What do physicians need to know in order to ‘prescribe’ mobile applications to patients with cardiovascular disease?. Personalized Medicine 2019;16(4):263
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  24. Flaherty SJ, McCarthy MB, Collins AM, McAuliffe FM. A different perspective on consumer engagement: exploring the experience of using health apps to support healthier food purchasing. Journal of Marketing Management 2019;35(3-4):310
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  25. Zhang L, Nawijn E, Boshuizen H, Ocké M. Evaluation of the Recipe Function in Popular Dietary Smartphone Applications, with Emphasize on Features Relevant for Nutrition Assessment in Large-Scale Studies. Nutrients 2019;11(1):200
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  26. Siddiqui NR, Hodges S, Sharif MO. Availability of orthodontic smartphone apps. Journal of Orthodontics 2019;46(3):235
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  27. Albrecht U, Malinka C, Long S, Raupach T, Hasenfuß G, von Jan U. Quality Principles of App Description Texts and Their Significance in Deciding to Use Health Apps as Assessed by Medical Students: Survey Study. JMIR mHealth and uHealth 2019;7(2):e13375
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  28. 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
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  29. Villasana MV, Pires IM, Sá J, Garcia NM, Zdravevski E, Chorbev I, Lameski P, Flórez-Revuelta F. Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal. The Open Bioinformatics Journal 2019;13(1):50
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  30. 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
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  31. Wellard-Cole L, Chen J, Davies A, Wong A, Huynh S, Rangan A, Allman-Farinelli M. Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds. Nutrients 2019;11(3):621
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  32. Ferrara G, Kim J, Lin S, Hua J, Seto E. A Focused Review of Smartphone Diet-Tracking Apps: Usability, Functionality, Coherence With Behavior Change Theory, and Comparative Validity of Nutrient Intake and Energy Estimates. JMIR mHealth and uHealth 2019;7(5):e9232
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  33. van Beurden SB, Smith JR, Lawrence NS, Abraham C, Greaves CJ. Feasibility Randomized Controlled Trial of ImpulsePal: Smartphone App–Based Weight Management Intervention to Reduce Impulsive Eating in Overweight Adults. JMIR Formative Research 2019;3(2):e11586
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  34. Forman EM, Goldstein SP, Crochiere RJ, Butryn ML, Juarascio AS, Zhang F, Foster GD. Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss. Translational Behavioral Medicine 2019;9(6):989
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  35. Baretta D, Bondaronek P, Direito A, Steca P. Implementation of the goal-setting components in popular physical activity apps: Review and content analysis. DIGITAL HEALTH 2019;5:205520761986270
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  36. Villasana MV, Pires IM, Sá J, Garcia NM, Zdravevski E, Chorbev I, Lameski P, Flórez-Revuelta F. Mobile Applications for the Promotion and Support of Healthy Nutrition and Physical Activity Habits: A Systematic Review, Extraction of Features and Taxonomy Proposal. The Open Bioinformatics Journal 2019;12(1):50
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  37. Li Y, Ding J, Wang Y, Tang C, Zhang P. Nutrition-Related Mobile Apps in the China App Store: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2019;7(7):e13261
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  38. Aromatario O, Van Hoye A, Vuillemin A, Foucaut A, Crozet C, Pommier J, Cambon L. How do mobile health applications support behaviour changes? A scoping review of mobile health applications relating to physical activity and eating behaviours. Public Health 2019;175:8
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  39. Willcox JC, Dobson R, Whittaker R. Old-Fashioned Technology in the Era of “Bling”: Is There a Future for Text Messaging in Health Care?. Journal of Medical Internet Research 2019;21(12):e16630
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  40. Balapour A, Reychav I, Sabherwal R, Azuri J. Mobile technology identity and self-efficacy: Implications for the adoption of clinically supported mobile health apps. International Journal of Information Management 2019;49:58
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  41. 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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  42. Chen J, Allman-Farinelli M. Impact of Training and Integration of Apps Into Dietetic Practice on Dietitians’ Self-Efficacy With Using Mobile Health Apps and Patient Satisfaction. JMIR mHealth and uHealth 2019;7(3):e12349
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  43. Liu HT, Chia R, Setiawan IMA, Crytzer TM, Ding D. Development of “My Wheelchair Guide” app: a qualitative study. Disability and Rehabilitation: Assistive Technology 2019;14(8):839
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  44. Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2019;:101301
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  45. Smyth B, Fehlberg B. Australian post-separation parenting on the smartphone: What’s ‘App-ening?. Journal of Social Welfare and Family Law 2019;41(1):53
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  46. 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
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  47. Honary M, Bell BT, Clinch S, Wild SE, McNaney R. Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People. JMIR mHealth and uHealth 2019;7(6):e14239
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  48. Bondaronek P, Alkhaldi G, Slee A, Hamilton FL, Murray E. Quality of Publicly Available Physical Activity Apps: Review and Content Analysis. JMIR mHealth and uHealth 2018;6(3):e53
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  49. Alnasser A, Kyle J, Alkhalifah A, Marais D. Relationship Between Evidence Requirements, User Expectations, and Actual Experiences: Usability Evaluation of the Twazon Arabic Weight Loss App. JMIR Human Factors 2018;5(2):e16
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  50. Azar KMJ, Bennett GG, Nolting LA, Rosas LG, Burke LE, Ma J. A framework for examining the function of digital health technologies for weight management. Translational Behavioral Medicine 2018;8(2):280
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  51. 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
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  52. Andersson A, Winslott Hiselius L, Adell E. Promoting sustainable travel behaviour through the use of smartphone applications: A review and development of a conceptual model. Travel Behaviour and Society 2018;11:52
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  53. Kim J, Talikoti A, Boutin M. A 3-Step Process to Estimate Phenylalanine in Commercial Foods for PKU Management. IEEE Access 2018;6:30758
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  54. 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
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  55. Agapito G, Simeoni M, Calabrese B, Caré I, Lamprinoudi T, Guzzi PH, Pujia A, Fuiano G, Cannataro M. DIETOS: A dietary recommender system for chronic diseases monitoring and management. Computer Methods and Programs in Biomedicine 2018;153:93
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  56. DiFilippo KN, Huang WD, Chapman-Novakofski KM. Mobile Apps for the Dietary Approaches to Stop Hypertension (DASH): App Quality Evaluation. Journal of Nutrition Education and Behavior 2018;50(6):620
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  57. Wellard-Cole L, Jung J, Kay J, Rangan A, Chapman K, Watson WL, Hughes C, Ni Mhurchu C, Bauman A, Gemming L, Yacef K, Koprinska I, Allman-Farinelli M. Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional Study. JMIR Research Protocols 2018;7(1):e24
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  58. Jones A, Mitchell LJ, O'Connor R, Rollo ME, Slater K, Williams LT, Ball L. Investigating the Perceptions of Primary Care Dietitians on the Potential for Information Technology in the Workplace: Qualitative Study. Journal of Medical Internet Research 2018;20(10):e265
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  59. Maringer M, Wisse-Voorwinden N, Veer PV, Geelen A. Food identification by barcode scanning in the Netherlands: a quality assessment of labelled food product databases underlying popular nutrition applications. Public Health Nutrition 2018;:1
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  60. Partridge S, Redfern J. Strategies to Engage Adolescents in Digital Health Interventions for Obesity Prevention and Management. Healthcare 2018;6(3):70
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  61. Flaherty S, McCarthy M, Collins A, McAuliffe F. Can existing mobile apps support healthier food purchasing behaviour? Content analysis of nutrition content, behaviour change theory and user quality integration. Public Health Nutrition 2018;21(2):288
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  62. Teixeira V, Voci SM, Mendes-Netto RS, da Silva DG. The relative validity of a food record using the smartphone application MyFitnessPal. Nutrition & Dietetics 2018;75(2):219
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  63. Rivera J, McPherson AC, Hamilton J, Birken C, Coons M, Peters M, Iyer S, George T, Nguyen C, Stinson J. User-Centered Design of a Mobile App for Weight and Health Management in Adolescents With Complex Health Needs: Qualitative Study. JMIR Formative Research 2018;2(1):e7
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  64. 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
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  65. Nouri R, R Niakan Kalhori S, Ghazisaeedi M, Marchand G, Yasini M. Criteria for assessing the quality of mHealth apps: a systematic review. Journal of the American Medical Informatics Association 2018;25(8):1089
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  66. 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)
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  67. Nikolaou CK, Lean MEJ. Mobile applications for obesity and weight management: current market characteristics. International Journal of Obesity 2017;41(1):200
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  68. Frie K, Hartmann-Boyce J, Jebb S, Albury C, Nourse R, Aveyard P. Insights From Google Play Store User Reviews for the Development of Weight Loss Apps: Mixed-Method Analysis. JMIR mHealth and uHealth 2017;5(12):e203
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  69. Robbins R, Krebs P, Jagannathan R, Jean-Louis G, Duncan DT. Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status. JMIR mHealth and uHealth 2017;5(12):e197
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  73. Toro-Ramos T, Lee D, Kim Y, Michaelides A, Oh TJ, Kim KM, Jang HC, Lim S. Effectiveness of a Smartphone Application for the Management of Metabolic Syndrome Components Focusing on Weight Loss: A Preliminary Study. Metabolic Syndrome and Related Disorders 2017;15(9):465
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  74. Hoppe CD, Cade JE, Carter M. An evaluation of diabetes targeted apps for Android smartphone in relation to behaviour change techniques. Journal of Human Nutrition and Dietetics 2017;30(3):326
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  75. 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
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  76. Hoj TH, Covey EL, Jones AC, Haines AC, Hall PC, Crookston BT, West JH. How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms. JMIR mHealth and uHealth 2017;5(8):e114
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  77. Zhao J, Freeman B, Li M. How Do Infant Feeding Apps in China Measure Up? A Content Quality Assessment. JMIR mHealth and uHealth 2017;5(12):e186
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4334)

:
  1. Valentim Pereira GF, Pires IM, Marques G, Garcia NM, Zdravevski E, Lameski P, Flórez-Revuelta F, Spinsante S. Internet of Things and Big Data Applications. 2020. Chapter 7:107
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  2. Dufort A, Gregory E, Woo T. Humanism and Resilience in Residency Training. 2020. Chapter 12:371
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  3. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara CA, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. 2018. Chapter 6:101
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  4. Adewumi A, Olatunde G, Misra S, Maskeliūnas R, Damaševičius R. Information Technology Science. 2018. Chapter 3:23
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  5. Galhotra R. Nutrients in Dairy and their Implications on Health and Disease. 2017. :43
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