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Published on 10.11.15 in Vol 17, No 11 (2015): November

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

Works citing "Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4836):

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

  1. Teeriniemi A, Salonurmi T, Jokelainen T, Vähänikkilä H, Alahäivälä T, Karppinen P, Enwald H, Huotari M, Laitinen J, Oinas‐Kukkonen H, Savolainen MJ. A randomized clinical trial of the effectiveness of a Web‐based health behaviour change support system and group lifestyle counselling on body weight loss in overweight and obese subjects: 2‐year outcomes. Journal of Internal Medicine 2018;284(5):534
    CrossRef
  2. Lindqvist A, Rutberg S, Söderström E, Ek A, Alexandrou C, Maddison R, Löf M. User Perception of a Smartphone App to Promote Physical Activity Through Active Transportation: Inductive Qualitative Content Analysis Within the Smart City Active Mobile Phone Intervention (SCAMPI) Study. JMIR mHealth and uHealth 2020;8(8):e19380
    CrossRef
  3. Hansel B, Giral P, Gambotti L, Lafourcade A, Peres G, Filipecki C, Kadouch D, Hartemann A, Oppert J, Bruckert E, Marre M, Bruneel A, Duchene E, Roussel R. A Fully Automated Web-Based Program Improves Lifestyle Habits and HbA1c in Patients With Type 2 Diabetes and Abdominal Obesity: Randomized Trial of Patient E-Coaching Nutritional Support (The ANODE Study). Journal of Medical Internet Research 2017;19(11):e360
    CrossRef
  4. Tong HL, Laranjo L. The use of social features in mobile health interventions to promote physical activity: a systematic review. npj Digital Medicine 2018;1(1)
    CrossRef
  5. Müller AM, Maher CA, Vandelanotte C, Hingle M, Middelweerd A, Lopez ML, DeSmet A, Short CE, Nathan N, Hutchesson MJ, Poppe L, Woods CB, Williams SL, Wark PA. Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis. Journal of Medical Internet Research 2018;20(4):e122
    CrossRef
  6. Lau Y, Cheng LJ, Chi C, Tsai C, Ong KW, Ho-Lim SST, Wang W, Tan K. Development of a Healthy Lifestyle Mobile App for Overweight Pregnant Women: Qualitative Study. JMIR mHealth and uHealth 2018;6(4):e91
    CrossRef
  7. Higgins K, Nesbitt C, Horan L, Curtis A, Richard K, Stallter C, Verela S. Brief Educational Sessions to Promote Health App Use. The Journal for Nurse Practitioners 2019;15(8):e165
    CrossRef
  8. Nurmi J, Knittle K, Ginchev T, Khattak F, Helf C, Zwickl P, Castellano-Tejedor C, Lusilla-Palacios P, Costa-Requena J, Ravaja N, Haukkala A. Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App. JMIR mHealth and uHealth 2020;8(1):e12884
    CrossRef
  9. Verbiest M, Borrell S, Dalhousie S, Tupa'i-Firestone R, Funaki T, Goodwin D, Grey J, Henry A, Hughes E, Humphrey G, Jiang Y, Jull A, Pekepo C, Schumacher J, Te Morenga L, Tunks M, Vano M, Whittaker R, Ni Mhurchu C. A Co-Designed, Culturally-Tailored mHealth Tool to Support Healthy Lifestyles in Māori and Pasifika Communities in New Zealand: Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols 2018;7(8):e10789
    CrossRef
  10. Karduck J, Chapman-Novakofski K. Results of the Clinician Apps Survey, How Clinicians Working With Patients With Diabetes and Obesity Use Mobile Health Apps. Journal of Nutrition Education and Behavior 2018;50(1):62
    CrossRef
  11. Doyle N, Murphy M, Brennan L, Waugh A, McCann M, Mellotte G. The “Mikidney” smartphone app pilot study: Empowering patients with Chronic Kidney Disease. Journal of Renal Care 2019;45(3):133
    CrossRef
  12. Bardus M, Ali A, Demachkieh F, Hamadeh G. Assessing the Quality of Mobile Phone Apps for Weight Management: User-Centered Study With Employees From a Lebanese University. JMIR mHealth and uHealth 2019;7(1):e9836
    CrossRef
  13. Lyu K, Zhao J, Wang B, Xiong G, Yang W, Liu Q, Zhu X, Sun W, Jiang A, Wen W, Lei W. Smartphone Application WeChat for Clinical Follow-up of Discharged Patients with Head and Neck Tumors. Chinese Medical Journal 2016;129(23):2816
    CrossRef
  14. Davis A, Ellis R. A quasi-experimental investigation of college students’ ratings of two physical activity mobile apps with varied behavior change technique quantity. DIGITAL HEALTH 2019;5:205520761989134
    CrossRef
  15. Black DA, O'Loughlin K, Wilson LA. Climate change and the health of older people in Australia: A scoping review on the role of mobile applications (apps) in ameliorating impact. Australasian Journal on Ageing 2018;37(2):99
    CrossRef
  16. Bender MS, Santos G, Villanueva C, Arai S. Development of a Mobile Phone-Based Weight Loss Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Protocol and Early Results From the PilAm Go4Health Randomized Controlled Trial. JMIR Research Protocols 2016;5(3):e178
    CrossRef
  17. Mbada CE, Omole OO, Igwe CF, Olakorede DB, Fatoye CT, Akinwande OA, Sanuade CT, Odole AC, Fatoye F. Knowledge, attitude, and willingness to use and pay for smartphone applications for physical activity among pregnant women. Digital Medicine 2019;5(4):170
    CrossRef
  18. Ek A, Alexandrou C, Delisle Nyström C, Direito A, Eriksson U, Hammar U, Henriksson P, Maddison R, Trolle Lagerros Y, Löf M. The Smart City Active Mobile Phone Intervention (SCAMPI) study to promote physical activity through active transportation in healthy adults: a study protocol for a randomised controlled trial. BMC Public Health 2018;18(1)
    CrossRef
  19. Kennelly M, McAuliffe F. Prediction and prevention of Gestational Diabetes: an update of recent literature. European Journal of Obstetrics & Gynecology and Reproductive Biology 2016;202:92
    CrossRef
  20. Lee U, Han K, Cho H, Chung K, Hong H, Lee S, Noh Y, Park S, Carroll JM. Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions. Ad Hoc Networks 2019;83:8
    CrossRef
  21. Cui M, Wu X, Mao J, Wang X, Nie M, Barengo NC. T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis. PLOS ONE 2016;11(11):e0166718
    CrossRef
  22. Thomas JG, Raynor HA, Bond DS, Luke AK, Cardoso CC, Wojtanowski AC, Vander Veur S, Tate D, Wing RR, Foster GD. Weight loss and frequency of body‐weight self‐monitoring in an online commercial weight management program with and without a cellular‐connected ‘smart’ scale: a randomized pilot study. Obesity Science & Practice 2017;3(4):365
    CrossRef
  23. Fennell C, Lepp A, Barkley J. Smartphone Use Predicts Being an “Active Couch Potato” in Sufficiently Active Adults. American Journal of Lifestyle Medicine 2021;15(6):673
    CrossRef
  24. Senecal C, Widmer RJ, Larrabee BR, de Andrade M, Lerman LO, Lerman A, Lopez-Jimenez F. A Digital Health Weight Loss Program in 250,000 Individuals. Journal of Obesity 2020;2020:1
    CrossRef
  25. Tu R, Hsieh P, Feng W. Walking for fun or for “likes”? The impacts of different gamification orientations of fitness apps on consumers’ physical activities. Sport Management Review 2019;22(5):682
    CrossRef
  26. Turner‐McGrievy GM, Wilcox S, Boutté A, Hutto BE, Singletary C, Muth ER, Hoover AW. The Dietary Intervention to Enhance Tracking with Mobile Devices (DIET Mobile) Study: A 6‐Month Randomized Weight Loss Trial. Obesity 2017;25(8):1336
    CrossRef
  27. Bardus M, Hamadeh G, Hayek B, Al Kherfan R. A Self-Directed Mobile Intervention (WaznApp) to Promote Weight Control Among Employees at a Lebanese University: Protocol for a Feasibility Pilot Randomized Controlled Trial. JMIR Research Protocols 2018;7(5):e133
    CrossRef
  28. Ganesan AN, Louise J, Horsfall M, Bilsborough SA, Hendriks J, McGavigan AD, Selvanayagam JB, Chew DP. International Mobile-Health Intervention on Physical Activity, Sitting, and Weight. Journal of the American College of Cardiology 2016;67(21):2453
    CrossRef
  29. Tárraga Marcos ML, Panisello Royo JM, Carbayo Herencia JA, Rosich Domenech N, Alins Presas J, Tárraga López PJ. Effect on the lipid parameters of an intervention to reduce weight in overweight and obese patients. Clínica e Investigación en Arteriosclerosis (English Edition) 2017;29(3):103
    CrossRef
  30. Ogden J, Maxwell H, Wong A. Development and feasibility study of an app (Ladle) for weight loss and behaviour change. PeerJ 2019;7:e6907
    CrossRef
  31. 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
  32. 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
    CrossRef
  33. Ghelani DP, Moran LJ, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Frontiers in Endocrinology 2020;11
    CrossRef
  34. Islam MM, Poly TN, Walther BA, (Jack) Li Y. Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis. JMIR mHealth and uHealth 2020;8(7):e17039
    CrossRef
  35. Mauch CE, Wycherley TP, Laws RA, Johnson BJ, Bell LK, Golley RK. Mobile Apps to Support Healthy Family Food Provision: Systematic Assessment of Popular, Commercially Available Apps. JMIR mHealth and uHealth 2018;6(12):e11867
    CrossRef
  36. Huang G, Ren Y. Linking technological functions of fitness mobile apps with continuance usage among Chinese users: Moderating role of exercise self-efficacy. Computers in Human Behavior 2020;103:151
    CrossRef
  37. Leinonen A, Pyky R, Ahola R, Kangas M, Siirtola P, Luoto T, Enwald H, Ikäheimo TM, Röning J, Keinänen-Kiukaanniemi S, Mäntysaari M, Korpelainen R, Jämsä T. Feasibility of Gamified Mobile Service Aimed at Physical Activation in Young Men: Population-Based Randomized Controlled Study (MOPO). JMIR mHealth and uHealth 2017;5(10):e146
    CrossRef
  38. Henriksson P, Sandborg J, Blomberg M, Alexandrou C, Maddison R, Silfvernagel K, Henriksson H, Leppänen MH, Migueles JH, Widman L, Thomas K, Trolle Lagerros Y, Löf M. A Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity During Pregnancy (HealthyMoms): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(3):e13011
    CrossRef
  39. Alwashmi MF, Mugford G, Abu-Ashour W, Nuccio M. A Digital Diabetes Prevention Program (Transform) for Adults With Prediabetes: Secondary Analysis. JMIR Diabetes 2019;4(3):e13904
    CrossRef
  40. Roberts AL, Fisher A, Smith L, Heinrich M, Potts HWW. Digital health behaviour change interventions targeting physical activity and diet in cancer survivors: a systematic review and meta-analysis. Journal of Cancer Survivorship 2017;11(6):704
    CrossRef
  41. Allman-Farinelli M, Partridge SR, McGeechan K, Balestracci K, Hebden L, Wong A, Phongsavan P, Denney-Wilson E, Harris MF, Bauman A. A Mobile Health Lifestyle Program for Prevention of Weight Gain in Young Adults (TXT2BFiT): Nine-Month Outcomes of a Randomized Controlled Trial. JMIR mHealth and uHealth 2016;4(2):e78
    CrossRef
  42. Bianchi F, Dorsel C, Garnett E, Aveyard P, Jebb SA. Interventions targeting conscious determinants of human behaviour to reduce the demand for meat: a systematic review with qualitative comparative analysis. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1)
    CrossRef
  43. Fischer HH, Durfee MJ, Raghunath SG, Ritchie ND. Short Message Service Text Message Support for Weight Loss in Patients With Prediabetes: Pragmatic Trial. JMIR Diabetes 2019;4(2):e12985
    CrossRef
  44. Liu D, Maimaitijiang R, Gu J, Zhong S, Zhou M, Wu Z, Luo A, Lu C, Hao Y. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey. JMIR mHealth and uHealth 2019;7(9):e13127
    CrossRef
  45. Skrepnik N, Spitzer A, Altman R, Hoekstra J, Stewart J, Toselli R. Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(5):e64
    CrossRef
  46. 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
  47. Bahadori S, Wainwright TW, Ahmed OH. Smartphone apps for total hip replacement and total knee replacement surgery patients: a systematic review. Disability and Rehabilitation 2020;42(7):983
    CrossRef
  48. Daniels LM, Chazan D, Goegan L, Farmer J. Conventionality and evidence: two elements of professional development that could matter to teachers. Professional Development in Education 2022;48(5):766
    CrossRef
  49. Tonkin E, Jeffs L, Wycherley TP, Maher C, Smith R, Hart J, Cubillo B, Brimblecombe J. A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing. JMIR mHealth and uHealth 2017;5(12):e192
    CrossRef
  50. Aswani A, Kaminsky P, Mintz Y, Flowers E, Fukuoka Y. Behavioral modeling in weight loss interventions. European Journal of Operational Research 2019;272(3):1058
    CrossRef
  51. Ben Neriah D, Geliebter A. Weight Loss Following Use of a Smartphone Food Photo Feature: Retrospective Cohort Study. JMIR mHealth and uHealth 2019;7(6):e11917
    CrossRef
  52. Cueto V, Wang CJ, Sanders LM. Impact of a Mobile App–Based Health Coaching and Behavior Change Program on Participant Engagement and Weight Status of Overweight and Obese Children: Retrospective Cohort Study. JMIR mHealth and uHealth 2019;7(11):e14458
    CrossRef
  53. . Use of Weight-Management Mobile Phone Apps in Saudi Arabia: A Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12692
    CrossRef
  54. Böhm B, Karwiese SD, Böhm H, Oberhoffer R. Effects of Mobile Health Including Wearable Activity Trackers to Increase Physical Activity Outcomes Among Healthy Children and Adolescents: Systematic Review. JMIR mHealth and uHealth 2019;7(4):e8298
    CrossRef
  55. Sohaib Aslam A, van Luenen S, Aslam S, van Bodegom D, Chavannes NH. A systematic review on the use of mHealth to increase physical activity in older people. Clinical eHealth 2020;3:31
    CrossRef
  56. 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
    CrossRef
  57. 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
    CrossRef
  58. Alessa T, Abdi S, Hawley MS, de Witte L. Mobile Apps to Support the Self-Management of Hypertension: Systematic Review of Effectiveness, Usability, and User Satisfaction. JMIR mHealth and uHealth 2018;6(7):e10723
    CrossRef
  59. Stockwell S, Schofield P, Fisher A, Firth J, Jackson SE, Stubbs B, Smith L. Digital behavior change interventions to promote physical activity and/or reduce sedentary behavior in older adults: A systematic review and meta-analysis. Experimental Gerontology 2019;120:68
    CrossRef
  60. Kim Y, Oh B, Shin H. Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(1):e13273
    CrossRef
  61. 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
  62. Laredo-Aguilera , Cobo-Cuenca , Santacruz-Salas , Martins , Rodríguez-Borrego , López-Soto , Carmona-Torres . Levels of Physical Activity, Obesity and Related Factors in Young Adults Aged 18–30 during 2009–2017. International Journal of Environmental Research and Public Health 2019;16(20):4033
    CrossRef
  63. Garcia-Ortiz L, Recio-Rodriguez JI, Agudo-Conde C, Patino-Alonso MC, Maderuelo-Fernandez J, Repiso Gento I, Puigdomenech Puig E, Gonzalez-Viejo N, Arietaleanizbeaskoa MS, Schmolling-Guinovart Y, Gomez-Marcos MA, Rodriguez-Sanchez E. Long-Term Effectiveness of a Smartphone App for Improving Healthy Lifestyles in General Population in Primary Care: Randomized Controlled Trial (Evident II Study). JMIR mHealth and uHealth 2018;6(4):e107
    CrossRef
  64. Tiffany B, Blasi P, Catz SL, McClure JB. Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis. JMIR mHealth and uHealth 2018;6(9):e11432
    CrossRef
  65. 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
  66. Nour M, Chen J, Allman-Farinelli M. Young Adults’ Engagement With a Self-Monitoring App for Vegetable Intake and the Impact of Social Media and Gamification: Feasibility Study. JMIR Formative Research 2019;3(2):e13324
    CrossRef
  67. Jones D, Skrepnik N, Toselli RM, Leroy B. Incorporating Novel Mobile Health Technologies Into Management of Knee Osteoarthritis in Patients Treated With Intra-Articular Hyaluronic Acid: Rationale and Protocol of a Randomized Controlled Trial. JMIR Research Protocols 2016;5(3):e164
    CrossRef
  68. Stragier J, Mechant P, De Marez L, Cardon G. Computer-Mediated Social Support for Physical Activity: A Content Analysis. Health Education & Behavior 2018;45(1):124
    CrossRef
  69. Tapiero S, Yoon R, Jefferson F, Sung J, Limfueco L, Cottone C, Lu S, Patel RM, Landman J, Clayman RV. Smartphone technology and its applications in urology: a review of the literature. World Journal of Urology 2020;38(10):2393
    CrossRef
  70. Senecal C, Collazo-Clavell M, Larrabee BR, de Andrade M, Lin W, Chen B, Lerman LO, Lerman A, Lopez-Jimenez F. A digital health weight-loss intervention in severe obesity. DIGITAL HEALTH 2020;6:205520762091027
    CrossRef
  71. 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
  72. Steinert A, Buchem I, Merceron A, Kreutel J, Haesner M. A wearable-enhanced fitness program for older adults, combining fitness trackers and gamification elements: the pilot study fMOOC@Home. Sport Sciences for Health 2018;14(2):275
    CrossRef
  73. Bendtsen M, Bendtsen P, Henriksson H, Henriksson P, Müssener U, Thomas K, Löf M. The Mobile Health Multiple Lifestyle Behavior Interventions Across the Lifespan (MoBILE) Research Program: Protocol for Development, Evaluation, and Implementation. JMIR Research Protocols 2020;9(4):e14894
    CrossRef
  74. Rowland SP, Fitzgerald JE, Holme T, Powell J, McGregor A. What is the clinical value of mHealth for patients?. npj Digital Medicine 2020;3(1)
    CrossRef
  75. Recio-Rodriguez JI, Agudo-Conde C, Martin-Cantera C, González-Viejo MN, Fernandez-Alonso MDC, Arietaleanizbeaskoa MS, Schmolling-Guinovart Y, Maderuelo-Fernandez J, Rodriguez-Sanchez E, Gomez-Marcos MA, Garcia-Ortiz L. Short-Term Effectiveness of a Mobile Phone App for Increasing Physical Activity and Adherence to the Mediterranean Diet in Primary Care: A Randomized Controlled Trial (EVIDENT II Study). Journal of Medical Internet Research 2016;18(12):e331
    CrossRef
  76. Régnier F, Chauvel L. Digital Inequalities in the Use of Self-Tracking Diet and Fitness Apps: Interview Study on the Influence of Social, Economic, and Cultural Factors. JMIR mHealth and uHealth 2018;6(4):e101
    CrossRef
  77. Cleghorn CL, Wilson N, Nair N, Kvizhinadze G, Nghiem N, McLeod M, Blakely T. Health benefits and costs of weight-loss dietary counselling by nurses in primary care: a cost-effectiveness analysis. Public Health Nutrition 2020;23(1):83
    CrossRef
  78. Lynch EA, Jones TM, Simpson DB, Fini NA, Kuys SS, Borschmann K, Kramer S, Johnson L, Callisaya ML, Mahendran N, Janssen H, English C. Activity monitors for increasing physical activity in adult stroke survivors. Cochrane Database of Systematic Reviews 2018;
    CrossRef
  79. Locke SR, Falkenhain K, Lowe DA, Lee T, Singer J, Weiss EJ, Little JP. Comparing the Keyto App and Device with Weight Watchers’ WW App for Weight Loss: Protocol for a Randomized Trial. JMIR Research Protocols 2020;9(8):e19053
    CrossRef
  80. Gonzalez-Sanchez J, Recio-Rodriguez JI, Fernandez-delRio A, Sanchez-Perez A, Magdalena-Belio JF, Gomez-Marcos MA, Garcia-Ortiz L. Using a smartphone app in changing cardiovascular risk factors: A randomized controlled trial (EVIDENT II study). International Journal of Medical Informatics 2019;125:13
    CrossRef
  81. 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
  82. McKinney P, Cox AM, Sbaffi L. Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study. Journal of Medical Internet Research 2019;21(8):e13652
    CrossRef
  83. Leung MM, Mateo KF, Verdaguer S, Wyka K. Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Minority Preadolescents: Protocol for a Pilot Randomized Control Trial. JMIR Research Protocols 2018;7(11):e10682
    CrossRef
  84. Romeo A, Edney S, Plotnikoff R, Curtis R, Ryan J, Sanders I, Crozier A, Maher C. Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2019;21(3):e12053
    CrossRef
  85. Smith DM, Duque L, Huffman JC, Healy BC, Celano CM. Text Message Interventions for Physical Activity: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2020;58(1):142
    CrossRef
  86. Newton Jr RL, Carter LA, Johnson W, Zhang D, Larrivee S, Kennedy BM, Harris M, Hsia DS. A Church-Based Weight Loss Intervention in African American Adults using Text Messages (LEAN Study): Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(8):e256
    CrossRef
  87. Buckingham SA, Williams AJ, Morrissey K, Price L, Harrison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review. DIGITAL HEALTH 2019;5:205520761983988
    CrossRef
  88. Agarwal A, Patel M. Prescribing Behavior Change: Opportunities and Challenges for Clinicians to Embrace Digital and Mobile Health. JMIR mHealth and uHealth 2020;8(8):e17281
    CrossRef
  89. Tong HL, Coiera E, Tong W, Wang Y, Quiroz JC, Martin P, Laranjo L. Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study. JMIR mHealth and uHealth 2019;7(3):e12181
    CrossRef
  90. Joseph RP, Royse KE, Benitez TJ. A Systematic Review of Electronic and Mobile Health (e- and mHealth) Physical Activity Interventions for African American and Hispanic Women. Journal of Physical Activity and Health 2019;16(3):230
    CrossRef
  91. Ek A, Delisle Nyström C, Chirita-Emandi A, Tur JA, Nordin K, Bouzas C, Argelich E, Martínez JA, Frost G, Garcia-Perez I, Saez M, Paul C, Löf M, Nowicka P. A randomized controlled trial for overweight and obesity in preschoolers: the More and Less Europe study - an intervention within the STOP project. BMC Public Health 2019;19(1)
    CrossRef
  92. Solenhill M, Grotta A, Pasquali E, Bakkman L, Bellocco R, Trolle Lagerros Y. The Effect of Tailored Web-Based Feedback and Optional Telephone Coaching on Health Improvements: A Randomized Intervention Among Employees in the Transport Service Industry. Journal of Medical Internet Research 2016;18(8):e158
    CrossRef
  93. Kennelly MA, Ainscough K, Lindsay K, Gibney E, Mc Carthy M, McAuliffe FM. Pregnancy, exercise and nutrition research study with smart phone app support (Pears): Study protocol of a randomized controlled trial. Contemporary Clinical Trials 2016;46:92
    CrossRef
  94. Verbiest MEA, Corrigan C, Dalhousie S, Firestone R, Funaki T, Goodwin D, Grey J, Henry A, Humphrey G, Jull A, Vano M, Pekepo C, Morenga LT, Whittaker R, Mhurchu CN. Using codesign to develop a culturally tailored, behavior change mHealth intervention for indigenous and other priority communities: A case study in New Zealand. Translational Behavioral Medicine 2019;9(4):720
    CrossRef
  95. BONATO M, TURRINI F, DE ZAN V, MELONI A, PLEBANI M, BRAMBILLA E, GIORDANI A, VITOBELLO C, CACCIA R, PIACENTINI MF, LA TORRE A, LAZZARIN A, MERATI G, GALLI L, CINQUE P. A Mobile Application for Exercise Intervention in People Living with HIV. Medicine & Science in Sports & Exercise 2020;52(2):425
    CrossRef
  96. Groarke JM, Richmond J, Kelly MG, McSharry J, Groarke A, Kerr T, Singaroyan N, Harney O, Haughey C, Glynn L, Masterson E, O Donnell A, Duffy K, Walsh J. Examining the Impact of a Personalized Self-Management Lifestyle Program Using Mobile Technology on the Health and Well-Being of Cancer Survivors: Protocol and Rationale for a Randomized Controlled Trial (The Moving On Study). JMIR Research Protocols 2019;8(8):e13214
    CrossRef
  97. . La santé personnalisée : les objets connectés pour adopter de nouveaux comportements. Pratiques en nutrition 2017;13(50):30
    CrossRef
  98. Verdaguer S, Mateo KF, Wyka K, Dennis-Tiwary TA, Leung MM. A Web-Based Interactive Tool to Reduce Childhood Obesity Risk in Urban Minority Youth: Usability Testing Study. JMIR Formative Research 2018;2(2):e21
    CrossRef
  99. Gomez-Marcos MA, Patino-Alonso MC, Recio-Rodriguez JI, Agudo-Conde C, Romaguera-Bosch M, Magdalena-Gonzalez O, Gomez-Arranz A, Mendizabal-Gallastegui N, Angel Fernandez-Diez J, Gomez-Sanchez L, Maderuelo-Fernandez JA, Rodriguez-Sanchez E, Garcia-Ortiz L. Short- and long-term effectiveness of a smartphone application for improving measures of adiposity: A randomised clinical trial – EVIDENT II study. European Journal of Cardiovascular Nursing 2018;17(6):552
    CrossRef
  100. Coorey GM, Neubeck L, Mulley J, Redfern J. Effectiveness, acceptability and usefulness of mobile applications for cardiovascular disease self-management: Systematic review with meta-synthesis of quantitative and qualitative data. European Journal of Preventive Cardiology 2018;25(5):505
    CrossRef
  101. Lee C, Lee K, Lee D. Mobile Healthcare Applications and Gamification for Sustained Health Maintenance. Sustainability 2017;9(5):772
    CrossRef
  102. Buis LR, McCant FA, Gierisch JM, Bastian LA, Oddone EZ, Richardson CR, Kim HM, Evans R, Hooks G, Kadri R, White-Clark C, Damschroder LJ. Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention. JMIR Research Protocols 2019;8(1):e12526
    CrossRef
  103. Burgess J, Watt K, Kimble RM, Cameron CM. Combining Technology and Research to Prevent Scald Injuries (the Cool Runnings Intervention): Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(10):e10361
    CrossRef
  104. Mizdrak A, Telfer K, Direito A, Cobiac LJ, Blakely T, Cleghorn CL, Wilson N. Health Gain, Cost Impacts, and Cost-Effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Physical Activity: Modeling Study. JMIR mHealth and uHealth 2020;8(6):e18014
    CrossRef
  105. 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
  106. Agarwal P, Kithulegoda N, Bouck Z, Bosiak B, Birnbaum I, Reddeman L, Steiner L, Altman L, Mawson R, Propp R, Thornton J, Ivers N. Feasibility of an Electronic Health Tool to Promote Physical Activity in Primary Care: Pilot Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(2):e15424
    CrossRef
  107. 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
    CrossRef
  108. Apiñaniz A, Cobos-Campos R, Sáez de Lafuente-Moríñigo A, Parraza N, Aizpuru F, Pérez I, Goicoechea E, Trápaga N, García L. Effectiveness of randomized controlled trial of a mobile app to promote healthy lifestyle in obese and overweight patients. Family Practice 2019;36(6):699
    CrossRef
  109. Turner-McGrievy GM, Boutté A, Crimarco A, Wilcox S, Hutto BE, Hoover A, Muth ER. Byte by bite: Use of a mobile Bite Counter and weekly behavioral challenges to promote weight loss. Smart Health 2017;3-4:20
    CrossRef
  110. Burstein SM, Hawes ES, Arroyo KM, Bodenlos JS. Facets of Mindfulness and Health Among a Predominantly Low-Income Community Sample. Mindfulness 2020;11(3):771
    CrossRef
  111. Cai X, Qiu S, Luo D, Wang L, Lu Y, Li M. Mobile Application Interventions and Weight Loss in Type 2 Diabetes: A Meta‐Analysis. Obesity 2020;28(3):502
    CrossRef
  112. Müller AM, Alley S, Schoeppe S, Vandelanotte C. The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
    CrossRef
  113. Blödt S, Pach D, Eisenhart-Rothe SV, Lotz F, Roll S, Icke K, Witt CM. Effectiveness of app-based self-acupressure for women with menstrual pain compared to usual care: a randomized pragmatic trial. American Journal of Obstetrics and Gynecology 2018;218(2):227.e1
    CrossRef
  114. Smyth A, de Bloom J, Syrek C, Domin M, Janneck M, Reins JA, Lehr D. Efficacy of a smartphone-based intervention — “Holidaily” — promoting recovery behaviour in workers after a vacation: study protocol for a randomised controlled trial. BMC Public Health 2020;20(1)
    CrossRef
  115. . Digital Disruption: Can the sector of Nutrition and Dietetics stay unaffected?. Advances in Obesity, Weight Management & Control 2016;5(1)
    CrossRef
  116. Vetter P, Vetter K. Frauengesundheit – was nutzen Apps?. Der Gynäkologe 2018;51(3):253
    CrossRef
  117. Ernsting C, Stühmann LM, Dombrowski SU, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179
    CrossRef
  118. Wong EM, Leung DYP, Wang Q, Leung AYM. A nurse—led lifestyle intervention using mobile application versus booklet for adults with metabolic syndrome—Protocol for a randomized controlled trial. Journal of Advanced Nursing 2020;76(1):364
    CrossRef
  119. Langlet B, Maramis C, Diou C, Maglaveras N, Fagerberg P, Heimeier R, Lekka I, Delopoulos A, Ioakimidis I. Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study. JMIR mHealth and uHealth 2020;8(7):e14778
    CrossRef
  120. Greene EM, O'Brien EC, Kennelly MA, O'Brien OA, Lindsay KL, McAuliffe FM. Acceptability of the Pregnancy, Exercise, and Nutrition Research Study With Smartphone App Support (PEARS) and the Use of Mobile Health in a Mixed Lifestyle Intervention by Pregnant Obese and Overweight Women: Secondary Analysis of a Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(5):e17189
    CrossRef
  121. Hartman SJ, Dunsiger SI, Bock BC, Larsen BA, Linke S, Pekmezi D, Marquez B, Gans KM, Mendoza-Vasconez AS, Marcus BH. Physical activity maintenance among Spanish-speaking Latinas in a randomized controlled trial of an Internet-based intervention. Journal of Behavioral Medicine 2017;40(3):392
    CrossRef
  122. 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
  123. Chung MK, Eckhardt LL, Chen LY, Ahmed HM, Gopinathannair R, Joglar JA, Noseworthy PA, Pack QR, Sanders P, Trulock KM. Lifestyle and Risk Factor Modification for Reduction of Atrial Fibrillation: A Scientific Statement From the American Heart Association. Circulation 2020;141(16)
    CrossRef
  124. Buttazzoni A, Veenhof M, Minaker L. Smart City and High-Tech Urban Interventions Targeting Human Health: An Equity-Focused Systematic Review. International Journal of Environmental Research and Public Health 2020;17(7):2325
    CrossRef
  125. Fallaize R, Zenun Franco R, Pasang J, Hwang F, Lovegrove JA. Popular Nutrition-Related Mobile Apps: An Agreement Assessment Against a UK Reference Method. JMIR mHealth and uHealth 2019;7(2):e9838
    CrossRef
  126. Smith DM, Huffman JC, Healy BC, Duque L, Celano CM. Response to Letter to the Editor: “Real-World Considerations for Applicability of Text Message Interventions for Promotion of Physical Activity”. American Journal of Preventive Medicine 2020;59(2):e93
    CrossRef
  127. 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
  128. Avenell A, Robertson C, Skea Z, Jacobsen E, Boyers D, Cooper D, Aceves-Martins M, Retat L, Fraser C, Aveyard P, Stewart F, MacLennan G, Webber L, Corbould E, Xu B, Jaccard A, Boyle B, Duncan E, Shimonovich M, Bruin MD. Bariatric surgery, lifestyle interventions and orlistat for severe obesity: the REBALANCE mixed-methods systematic review and economic evaluation. Health Technology Assessment 2018;22(68):1
    CrossRef
  129. Barkley JE, Lepp A, Santo A, Glickman E, Dowdell B. The relationship between fitness app use and physical activity behavior is mediated by exercise identity. Computers in Human Behavior 2020;108:106313
    CrossRef
  130. Pan Y, Chen H, Chen H, Jin X, Zhu Y, Chen G. Is electronic follow-up using a mobile phone application after mid-urethral sling placement feasible and efficient?. World Journal of Urology 2021;39(3):863
    CrossRef
  131. Tárraga Marcos ML, Panisello Royo JM, Carbayo Herencia JA, Rosich Domenech N, Alins Presas J, Tárraga López PJ. Efecto sobre los parámetros lipídicos de una intervención para reducir peso en pacientes con sobrepeso y obesidad. Clínica e Investigación en Arteriosclerosis 2017;29(3):103
    CrossRef
  132. . Criterion validity of wearable monitors and smartphone applications to measure physical activity energy expenditure in adolescents. Sport Sciences for Health 2020;16(4):755
    CrossRef
  133. Keränen NS, Kangas M, Immonen M, Similä H, Enwald H, Korpelainen R, Jämsä T. Use of Information and Communication Technologies Among Older People With and Without Frailty: A Population-Based Survey. Journal of Medical Internet Research 2017;19(2):e29
    CrossRef
  134. Puigdomenech E, Martin A, Lang A, Adorni F, Gomez SF, McKinstry B, Prinelli F, Condon L, Rashid R, Caon M, Atkinson S, Lafortuna CL, Ciociola V, Hanley J, McCloughan L, Castell C, Espallargues M, Carrion C, Puigdomenech E, Becker T, Dunwell I, Bul K, Camarenti M, Crespi C, Jesuthasan N, Lafortuna C, Modoni G, Rizzo G, Sacco M, Sojic A, Tabozzi S, Grossenbacher O, Lemay M, Calvo EM, Miralles F, Orte S, Solà M, Velickovski F, Brivio M, Guarneri MR, Angelini L, Carrino S, Mugellini E, Delaini C, Morosini D, Decandia M, Facchinetti S, Migliavacca A, Mura S, Bianchi L, Mazzola M, Repetti S, Andreoni G, Mazzola A, Perego P, Standoli CE, Candea C, Candea G, Azzolini M, Bianconi L, Costacurta M, Degano C, Podda F, Ascolese A, Pannese L, Laird Y, Scott G, Serrano J, Cobb S, Coulson N, Langley A. Promoting healthy teenage behaviour across three European countries through the use of a novel smartphone technology platform, PEGASO fit for future: study protocol of a quasi-experimental, controlled, multi-Centre trial. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  135. Archangeli C, Marti FA, Wobga-Pasiah EA, Zima B. Mobile Health Interventions for Psychiatric Conditions in Children. Child and Adolescent Psychiatric Clinics of North America 2017;26(1):13
    CrossRef
  136. Ehrhardt N, Al Zaghal E. Behavior Modification in Prediabetes and Diabetes: Potential Use of Real-Time Continuous Glucose Monitoring. Journal of Diabetes Science and Technology 2019;13(2):271
    CrossRef
  137. 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
    CrossRef
  138. Murphy J, Uttamlal T, Schmidtke KA, Vlaev I, Taylor D, Ahmad M, Alsters S, Purkayastha P, Scholtz S, Ramezani R, Ahmed AR, Chahal H, Darzi A, Blakemore AIF. Tracking physical activity using smart phone apps: assessing the ability of a current app and systematically collecting patient recommendations for future development. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  139. 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
  140. McKay FH, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130
    CrossRef
  141. Bernard S, Boucher S, McLean L, Moffet H. Mobile technologies for the conservative self-management of urinary incontinence: a systematic scoping review. International Urogynecology Journal 2020;31(6):1163
    CrossRef
  142. Lordon RJ, Mikles SP, Kneale L, Evans HL, Munson SA, Backonja U, Lober WB. How patient-generated health data and patient-reported outcomes affect patient–clinician relationships: A systematic review. Health Informatics Journal 2020;26(4):2689
    CrossRef
  143. 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
  144. Damschroder LJ, Buis LR, McCant FA, Kim HM, Evans R, Oddone EZ, Bastian LA, Hooks G, Kadri R, White-Clark C, Richardson CR, Gierisch JM. Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(8):e19216
    CrossRef
  145. Kim H, Seo K. Smartphone-Based Health Program for Improving Physical Activity and Tackling Obesity for Young Adults: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2019;17(1):15
    CrossRef
  146. Dugas M, Gao G, Agarwal R. Unpacking mHealth interventions: A systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness. DIGITAL HEALTH 2020;6:205520762090541
    CrossRef
  147. Aji M, Glozier N, Bartlett D, Peters D, Calvo RA, Zheng Y, Grunstein R, Gordon C. A feasibility study of a mobile app to treat insomnia. Translational Behavioral Medicine 2021;11(2):604
    CrossRef
  148. Delisle Nyström C, Sandin S, Henriksson P, Henriksson H, Maddison R, Löf M. A 12-month follow-up of a mobile-based (mHealth) obesity prevention intervention in pre-school children: the MINISTOP randomized controlled trial. BMC Public Health 2018;18(1)
    CrossRef
  149. Gustafson A, Jilcott Pitts S, McQuerry K, Babtunde O, Mullins J. A Mentor-Led Text-Messaging Intervention Increases Intake of Fruits and Vegetables and Goal Setting for Healthier Dietary Consumption among Rural Adolescents in Kentucky and North Carolina, 2017. Nutrients 2019;11(3):593
    CrossRef
  150. Cox AM, McKinney P, Goodale P. Food logging: an information literacy perspective. Aslib Journal of Information Management 2017;69(2):184
    CrossRef
  151. Aswani A, Kaminsky P, Mintz Y, Flowers E, Fukuoka Y. Behavioral Modeling in Weight Loss Interventions. SSRN Electronic Journal 2016;
    CrossRef
  152. Reynolds R, Sutherland R, Nathan N, Janssen L, Lecathelinais C, Reilly K, Walton A, Wolfenden L. Feasibility and principal acceptability of school‐based mobile communication applications to disseminate healthy lunchbox messages to parents. Health Promotion Journal of Australia 2019;30(1):108
    CrossRef
  153. Meisel P, Holtfreter B, Völzke H, Kocher T. Self‐reported oral health predicts tooth loss after five and ten years in a population‐based study. Journal of Clinical Periodontology 2018;45(10):1164
    CrossRef
  154. 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
  155. Machado GC, Pinheiro MB, Lee H, Ahmed OH, Hendrick P, Williams C, Kamper SJ. Smartphone apps for the self-management of low back pain: A systematic review. Best Practice & Research Clinical Rheumatology 2016;30(6):1098
    CrossRef
  156. Tagliaferri SD, Miller CT, Owen PJ, Mitchell UH, Brisby H, Fitzgibbon B, Masse‐Alarie H, Van Oosterwijck J, Belavy DL. Domains of Chronic Low Back Pain and Assessing Treatment Effectiveness: A Clinical Perspective. Pain Practice 2020;20(2):211
    CrossRef
  157. Recio-Rodriguez JI, Gómez-Marcos MA, Agudo-Conde C, Ramirez I, Gonzalez-Viejo N, Gomez-Arranz A, Salcedo-Aguilar F, Rodriguez-Sanchez E, Alonso-Domínguez R, Sánchez-Aguadero N, Gonzalez-Sanchez J, Garcia-Ortiz L. EVIDENT 3 Study. Medicine 2018;97(2):e9633
    CrossRef
  158. Bardus M, Awada N, Ghandour LA, Fares E, Gherbal T, Al-Zanati T, Stoyanov SR. The Arabic Version of the Mobile App Rating Scale: Development and Validation Study. JMIR mHealth and uHealth 2020;8(3):e16956
    CrossRef
  159. 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
  160. 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
    CrossRef
  161. Chan RJ, Howell D, Lustberg MB, Mustian K, Koczwara B, Ng CC, Kim Y, Nápoles AM, Dixit N, Klemanski D, Ke Y, Toh YL, Fitch MI, Crichton M, Agarawal S, Chan A. Advances and future directions in the use of mobile health in supportive cancer care: proceedings of the 2019 MASCC Annual Meeting symposium. Supportive Care in Cancer 2020;28(9):4059
    CrossRef
  162. Chen J, Lieffers J, Bauman A, Hanning R, Allman‐Farinelli M. The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study. Journal of Human Nutrition and Dietetics 2017;30(4):439
    CrossRef
  163. 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
  164. Rezende LS, Lima MB, Salvador EP. Interventions for Promoting Physical Activity Among Individuals With Spinal Cord Injury: A Systematic Review. Journal of Physical Activity and Health 2018;15(12):954
    CrossRef
  165. Balk-Møller NC, Larsen TM, Holm L. Experiences From a Web- and App-Based Workplace Health Promotion Intervention Among Employees in the Social and Health Care Sector Based on Use-Data and Qualitative Interviews. Journal of Medical Internet Research 2017;19(10):e350
    CrossRef
  166. Pallejà-Millán M, Rey-Reñones C, Barrera Uriarte ML, Granado-Font E, Basora J, Flores-Mateo G, Duch J. Evaluation of the Tobbstop Mobile App for Smoking Cessation: Cluster Randomized Controlled Clinical Trial. JMIR mHealth and uHealth 2020;8(6):e15951
    CrossRef
  167. Albergoni A, Hettinga FJ, La Torre A, Bonato M, Sartor F. The Role of Technology in Adherence to Physical Activity Programs in Patients with Chronic Diseases Experiencing Fatigue: a Systematic Review. Sports Medicine - Open 2019;5(1)
    CrossRef
  168. Zhang J, Oh YJ, Lange P, Yu Z, Fukuoka Y. Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint. Journal of Medical Internet Research 2020;22(9):e22845
    CrossRef
  169. Muntaner-Mas A, Sanchez-Azanza VA, Ortega FB, Vidal-Conti J, Borràs PA, Cantallops J, Palou P. The effects of a physical activity intervention based on a fatness and fitness smartphone app for University students. Health Informatics Journal 2021;27(1):146045822098727
    CrossRef
  170. Perego P, Rashid R, Gluud C, Jakobsen JC, Andreoni G, Lissau I. Comparison of different mobile health applications for intervention in children and adolescent with overweight: a protocol for systematic review with meta-analysis and trial sequential analysis. BMJ Open 2020;10(12):e032570
    CrossRef
  171. Seo K, Han D. Experiences of Physical Activity Using Smartphone Application for the Female University Student : A Focus Group Interview. Journal of Digital Contents Society 2020;21(10):1817
    CrossRef
  172. Parker K, Uddin R, Ridgers ND, Brown H, Veitch J, Salmon J, Timperio A, Sahlqvist S, Cassar S, Toffoletti K, Maddison R, Arundell L. The Use of Digital Platforms for Adults’ and Adolescents’ Physical Activity During the COVID-19 Pandemic (Our Life at Home): Survey Study. Journal of Medical Internet Research 2021;23(2):e23389
    CrossRef
  173. He Z, Wu H, Yu F, Fu J, Sun S, Huang T, Wang R, Chen D, Zhao G, Quan M. Effects of Smartphone-Based Interventions on Physical Activity in Children and Adolescents: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2021;9(2):e22601
    CrossRef
  174. Ferré-Grau C, Raigal-Aran L, Lorca-Cabrera J, Lluch-Canut T, Ferré-Bergadà M, Lleixá-Fortuño M, Puig-Llobet M, Miguel-Ruiz MD, Albacar-Riobóo N. A Mobile App–Based Intervention Program for Nonprofessional Caregivers to Promote Positive Mental Health: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(1):e21708
    CrossRef
  175. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc J, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE/ HRS/ EHRA/ APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. Annals of Noninvasive Electrocardiology 2021;26(2)
    CrossRef
  176. 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
    CrossRef
  177. Laranjo L, Ding D, Heleno B, Kocaballi B, Quiroz JC, Tong HL, Chahwan B, Neves AL, Gabarron E, Dao KP, Rodrigues D, Neves GC, Antunes ML, Coiera E, Bates DW. Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression. British Journal of Sports Medicine 2021;55(8):422
    CrossRef
  178. Garvey WT, Mechanick JI, Brett EM, Garber AJ, Hurley DL, Jastreboff AM, Nadolsky K, Pessah-Pollack R, Plodkowski R. American Association of Clinical Endocrinologists and American College of Endocrinology Comprehensive Clinical Practice Guidelines For Medical Care of Patients with Obesity. Endocrine Practice 2016;22:1
    CrossRef
  179. Alshathri DM, Alhumaimeedy AS, Al-Hudhud G, Alsaleh A, Al-Musharaf S, Aljuraiban GS. Weight Management Apps in Saudi Arabia: Evaluation of Features and Quality. JMIR mHealth and uHealth 2020;8(10):e19844
    CrossRef
  180. Cliffe M, Di Battista E, Bishop S. Can you see me? Participant experience of accessing a weight management programme via group videoconference to overcome barriers to engagement. Health Expectations 2021;24(1):66
    CrossRef
  181. Gohardani AS, Sung JW. The Quest for Managing Stroke through A Mobile Device Application: A Review Study of Innovative Technologies Related to Cerebrovascular Accident. Westcliff International Journal of Applied Research 2019;3(1):47
    CrossRef
  182. Paganini S, Terhorst Y, Sander LB, Catic S, Balci S, Küchler A, Schultchen D, Plaumann K, Sturmbauer S, Krämer LV, Lin J, Wurst R, Pryss R, Baumeister H, Messner E. Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2021;9(6):e22587
    CrossRef
  183. Henriksson H, Alexandrou C, Henriksson P, Henström M, Bendtsen M, Thomas K, Müssener U, Nilsen P, Löf M. MINISTOP 2.0: a smartphone app integrated in primary child health care to promote healthy diet and physical activity behaviours and prevent obesity in preschool-aged children: protocol for a hybrid design effectiveness-implementation study. BMC Public Health 2020;20(1)
    CrossRef
  184. Chan C, Sounderajah V, Normahani P, Acharya A, Markar SR, Darzi A, Bicknell C, Riga C. Wearable Activity Monitors in Home Based Exercise Therapy for Patients with Intermittent Claudication: A Systematic Review. European Journal of Vascular and Endovascular Surgery 2021;61(4):676
    CrossRef
  185. Kim K, Lee C. Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study. JMIR mHealth and uHealth 2021;9(2):e24539
    CrossRef
  186. Mclaughlin M, Delaney T, Hall A, Byaruhanga J, Mackie P, Grady A, Reilly K, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(2):e23180
    CrossRef
  187. Aji M, Gordon C, Stratton E, Calvo RA, Bartlett D, Grunstein R, Glozier N. Framework for the Design Engineering and Clinical Implementation and Evaluation of mHealth Apps for Sleep Disturbance: Systematic Review. Journal of Medical Internet Research 2021;23(2):e24607
    CrossRef
  188. Vinnikova A, Lu L, Wei J, Fang G, Yan J. The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation. International Journal of Environmental Research and Public Health 2020;17(20):7639
    CrossRef
  189. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc J, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. Journal of Arrhythmia 2021;37(2):271
    CrossRef
  190. . Selbstakupressur bei Menstruationsschmerzen per App. Geburtshilfe und Frauenheilkunde 2020;80(11):1082
    CrossRef
  191. Varma N, Cygankiewicz I, Turakhia MP, Heidbuchel H, Hu Y, Chen LY, Couderc J, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini JP, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society. Circulation: Arrhythmia and Electrophysiology 2021;14(2)
    CrossRef
  192. Sainz-De-Abajo B, Garcia-Alonso JM, Berrocal-Olmeda JJ, Laso-Mangas S, De La Torre-Diez I. FoodScan: Food Monitoring App by Scanning the Groceries Receipts. IEEE Access 2020;8:227915
    CrossRef
  193. van Leer E, Lewis B, Porcaro N. Effect of an iOS App on Voice Therapy Adherence and Motivation. American Journal of Speech-Language Pathology 2021;30(1):210
    CrossRef
  194. Groarke JM, Richmond J, Mc Sharry J, Groarke A, Harney OM, Kelly MG, Walsh JC. Acceptability of a Mobile Health Behavior Change Intervention for Cancer Survivors With Obesity or Overweight: Nested Mixed Methods Study Within a Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(2):e18288
    CrossRef
  195. Pradal-Cano L, Lozano-Ruiz C, Pereyra-Rodríguez JJ, Saigí-Rubió F, Bach-Faig A, Esquius L, Medina FX, Aguilar-Martínez A. Using Mobile Applications to Increase Physical Activity: A Systematic Review. International Journal of Environmental Research and Public Health 2020;17(21):8238
    CrossRef
  196. Varma N, Cygankiewicz I, Turakhia MP, Heidbuchel H, Hu Y, Chen LY, Couderc J, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini JP, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. Cardiovascular Digital Health Journal 2021;2(1):4
    CrossRef
  197. Sandborg J, Söderström E, Henriksson P, Bendtsen M, Henström M, Leppänen MH, Maddison R, Migueles JH, Blomberg M, Löf M. Effectiveness of a Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity During Pregnancy (HealthyMoms): Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(3):e26091
    CrossRef
  198. Thornton L, Gardner LA, Osman B, Green O, Champion KE, Bryant Z, Teesson M, Kay-Lambkin F, Chapman C. A Multiple Health Behavior Change, Self-Monitoring Mobile App for Adolescents: Development and Usability Study of the Health4Life App. JMIR Formative Research 2021;5(4):e25513
    CrossRef
  199. Lim JY, Kim JK, Kim Y, Ahn S, Yu J, Hwang JH. A Modular Mobile Health App for Personalized Rehabilitation Throughout the Breast Cancer Care Continuum: Development Study. JMIR Formative Research 2021;5(4):e23304
    CrossRef
  200. Hazel CA, Bull S, Greenwell E, Bunik M, Puma J, Perraillon M. Systematic review of cost-effectiveness analysis of behavior change communication apps: Assessment of key methods. DIGITAL HEALTH 2021;7:205520762110005
    CrossRef
  201. Hamaya R, Fukuda H, Takebayashi M, Mori M, Matsushima R, Nakano K, Miyake K, Tani Y, Yokokawa H. Effects of an mHealth App (Kencom) With Integrated Functions for Healthy Lifestyles on Physical Activity Levels and Cardiovascular Risk Biomarkers: Observational Study of 12,602 Users. Journal of Medical Internet Research 2021;23(4):e21622
    CrossRef
  202. Szinay D, Perski O, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of Health and Well-being Apps and Curated App Portals: Think-Aloud and Interview Study. JMIR mHealth and uHealth 2021;9(4):e27173
    CrossRef
  203. Eicher-Miller HA, Prapkree L, Palacios C. Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications. Advances in Nutrition 2021;12(3):1032
    CrossRef
  204. Sandborg J, Henriksson P, Larsen E, Lindqvist A, Rutberg S, Söderström E, Maddison R, Löf M. Participants’ Engagement and Satisfaction With a Smartphone App Intended to Support Healthy Weight Gain, Diet, and Physical Activity During Pregnancy: Qualitative Study Within the HealthyMoms Trial. JMIR mHealth and uHealth 2021;9(3):e26159
    CrossRef
  205. Zečević M, Mijatović D, Kos Koklič M, Žabkar V, Gidaković P. User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research 2021;23(4):e25160
    CrossRef
  206. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc J, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E. 2021 ISHNE / HRS / EHRA / APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. European Heart Journal - Digital Health 2021;2(1):7
    CrossRef
  207. Walsh JC, Richmond J, Mc Sharry J, Groarke A, Glynn L, Kelly MG, Harney O, Groarke JM. Examining the Impact of an mHealth Behavior Change Intervention With a Brief In-Person Component for Cancer Survivors With Overweight or Obesity: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(7):e24915
    CrossRef
  208. Al-Abbadey M, Fong MM, Wilde LJ, Ingham R, Ghio D. Mobile health apps: An exploration of user-generated reviews in Google Play Store on a physical activity application. DIGITAL HEALTH 2021;7:205520762110149
    CrossRef
  209. . Evaluation of mobile applications for fitness training and physical activity in healthy low-trained people - A modular interdisciplinary framework. International Journal of Computer Science in Sport 2019;18(3):12
    CrossRef
  210. Bermejo-Gil BM, Pérez-Robledo F, Llamas-Ramos R, Silva LA, Sales-Mendes A, Leithardt VRQ, Llamas-Ramos I. RespiraConNosotros: A Viable Home-Based Telerehabilitation System for Respiratory Patients. Sensors 2021;21(10):3318
    CrossRef
  211. Gold N, Yau A, Rigby B, Dyke C, Remfry EA, Chadborn T. Effectiveness of Digital Interventions for Reducing Behavioral Risks of Cardiovascular Disease in Nonclinical Adult Populations: Systematic Review of Reviews. Journal of Medical Internet Research 2021;23(5):e19688
    CrossRef
  212. Zeng Q, Li N, Pan X, Chen L, Pan A. Clinical management and treatment of obesity in China. The Lancet Diabetes & Endocrinology 2021;9(6):393
    CrossRef
  213. Kim H, Lee C, Lee S, Chung K. Effect of Group Contingency Type on Walking: Comparisons of Effectiveness and Cost Efficiency. Frontiers in Psychology 2021;12
    CrossRef
  214. Westmattelmann D, Grotenhermen J, Sprenger M, Rand W, Schewe G. Apart we ride together: The motivations behind users of mixed-reality sports. Journal of Business Research 2021;134:316
    CrossRef
  215. Rozga M, Jones K, Robinson J, Yahiro A. Nutrition and physical activity interventions for the general population with and without cardiometabolic risk: a scoping review. Public Health Nutrition 2021;24(14):4718
    CrossRef
  216. Wu X, Guo X, Zhu H. Exploring the human factors for mindfulness in mHealth service usage: An Elaboration Likelihood Model. Information Development 2021;37(3):511
    CrossRef
  217. Limketkai BN, Mauldin K, Manitius N, Jalilian L, Salonen BR. The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition. Current Surgery Reports 2021;9(7)
    CrossRef
  218. Alexandrou C, Müssener U, Thomas K, Henriksson H, Löf M. Adapting a Parental Support App to Promote Healthy Diet and Physical Activity Behaviors (MINISTOP) for a Multi-Ethnic Setting: A Qualitative Study on the Needs and Preferences of Parents and Nurses within Swedish Child Health Care. Nutrients 2021;13(7):2190
    CrossRef
  219. Ball E, Rivas C. Health Apps Require Co-development to Be Acceptable and Effective. Frontiers in Psychology 2021;12
    CrossRef
  220. Bendtsen M, Seiterö A, Bendtsen P, Henriksson H, Henriksson P, Thomas K, Löf M, Müssener U. mHealth intervention for multiple lifestyle behaviour change among high school students in Sweden (LIFE4YOUth): protocol for a randomised controlled trial. BMC Public Health 2021;21(1)
    CrossRef
  221. Jones AC, Grout L, Wilson N, Nghiem N, Cleghorn C. The Cost-effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Weight Loss: Updated Modeling Study. JMIR Formative Research 2022;6(4):e29291
    CrossRef
  222. Napolsky IN, Popova PV. Personalized Nutrition for the Prevention and Treatment of Metabolic Diseases: Opportunities and Perspectives. Russian Journal for Personalized Medicine 2022;2(1):15
    CrossRef
  223. Potzel AL, Gar C, Banning F, Sacco V, Fritsche A, Fritsche L, Müssig K, Dauben L, Seissler J, Lechner A, Pyle L. A novel smartphone app to change risk behaviors of women after gestational diabetes: A randomized controlled trial. PLOS ONE 2022;17(4):e0267258
    CrossRef
  224. Huang X, Li M, Shi Y, Yao H, Lei Z, Kou W, Li B, Shi J, Zhang W, Jian W. Self-managed weight loss by smart body fat scales ameliorates obesity-related body composition during the COVID-19 pandemic: A follow-up study in Chinese population. Frontiers in Endocrinology 2022;13
    CrossRef
  225. Lee Y, Lee NY, Lim HJ, Sung S. Weight Reduction Interventions Using Digital Health for Employees with Obesity: A Systematic Review. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:3121
    CrossRef
  226. Arghittu A, Balletto G, Dettori M. Smart City and Well-Being: Opinions by the Guest Editors. Urban Science 2023;7(1):28
    CrossRef
  227. Lim WX, Fook-Chong S, Lim JW, Gan WH. The Outcomes of App-Based Health Coaching to Improve Dietary Behavior Among Nurses in a Tertiary Hospital: Pilot Intervention Study. JMIR Nursing 2022;5(1):e36811
    CrossRef
  228. Stark C, Cunningham J, Turner P, Johnson MA, Bäcker HC. App-Based Rehabilitation in Back Pain, a Systematic Review. Journal of Personalized Medicine 2022;12(10):1558
    CrossRef
  229. Dobbie LJ, Tahrani A, Alam U, James J, Wilding J, Cuthbertson DJ. Exercise in Obesity—the Role of Technology in Health Services: Can This Approach Work?. Current Obesity Reports 2021;11(3):93
    CrossRef
  230. Żarnowski A, Jankowski M, Gujski M. Public Awareness of Diet-Related Diseases and Dietary Risk Factors: A 2022 Nationwide Cross-Sectional Survey among Adults in Poland. Nutrients 2022;14(16):3285
    CrossRef
  231. Antoun J, Itani H, Alarab N, Elsehmawy A. The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e35479
    CrossRef
  232. Batten R, Alwashmi MF, Mugford G, Nuccio M, Besner A, Gao Z. A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis. JMIR Diabetes 2022;7(1):e23243
    CrossRef
  233. Gornyi B, Bunova A, Kulikova M, Kushunina D, Kalinina A, Drapkina O. Mobile applications in the control and correction of excess body weight (expert assessment results). Profilakticheskaya meditsina 2021;24(8):66
    CrossRef
  234. Kwon HE, Dewan S, Oh W, Kim T. Self-Regulation and External Influence: The Relative Efficacy of Mobile Apps and Offline Channels for Personal Weight Management. Information Systems Research 2023;34(1):50
    CrossRef
  235. Bunik M, Jimenez-Zambrano A, Solano M, Beaty BL, Juarez-Colunga E, Zhang X, Moore SL, Bull S, Leiferman JA. Mother’s Milk Messaging™: trial evaluation of app and texting for breastfeeding support. BMC Pregnancy and Childbirth 2022;22(1)
    CrossRef
  236. Goetschmann M, Nickolai B, Hegar K, Fäh D, Kiss C. Das Behandlungsprogramm bei Adipositas mit den Schwerpunkten Essverhalten und Lebensstiländerung (BASEL) ist effektiv, aber nicht kostendeckend. Adipositas - Ursachen, Folgeerkrankungen, Therapie 2022;16(01):32
    CrossRef
  237. Gao Y, Fu X, Lei M, Yin P, Meng Y, Wang Q, Pi H. The effects of information platform-based nursing on preventing venous thromboembolism in patients with hip fractures. Chinese Journal of Traumatology 2022;25(6):367
    CrossRef
  238. Falkenhain K, Locke SR, Lowe DA, Lee T, Singer J, Weiss EJ, Little JP. Use of an mHealth Ketogenic Diet App Intervention and User Behaviors Associated With Weight Loss in Adults With Overweight or Obesity: Secondary Analysis of a Randomized Clinical Trial. JMIR mHealth and uHealth 2022;10(3):e33940
    CrossRef
  239. Lei X, Huang Z, Rashi T, Yang X. Effectiveness of mHealth/eHealth interventions on obesity treatment: a protocol for umbrella review of meta-analyses. BMJ Open 2022;12(6):e052443
    CrossRef
  240. Thomas K, Neher M, Alexandrou C, Müssener U, Henriksson H, Löf M. Mobile phone-based lifestyle support for families with young children in primary health care (MINISTOP 2.0): Exploring behavioral change determinants for implementation using the COM-B model. Frontiers in Health Services 2022;2
    CrossRef
  241. Maenhout L, Peuters C, Cardon G, Crombez G, DeSmet A, Compernolle S. Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial. JMIR mHealth and uHealth 2022;10(5):e36404
    CrossRef
  242. Rathi N, Bhandarkar R, Kulkarni M. Recreational Physical Activity in Urban India: Perceptions and a Pilot Intervention. Behaviour Change 2023;40(2):133
    CrossRef
  243. Balakrishnan P, Owen E, Eberl M, Friedrich B, Etter T. A retrospective real-world observational pilot analysis of Waya: a self-monitoring fitness app in Germany. Cardiovascular Endocrinology & Metabolism 2022;11(3)
    CrossRef
  244. Bäuerle A, Frewer A, Rentrop V, Schüren LC, Niedergethmann M, Lortz J, Skoda E, Teufel M. Determinants of Acceptance of Weight Management Applications in Overweight and Obese Individuals: Using an Extended Unified Theory of Acceptance and Use of Technology Model. Nutrients 2022;14(9):1968
    CrossRef
  245. Jiang S, Zhang L, Teo K. Social Use of Fitness Apps and Physical Activity Knowledge: The Roles of Information Elaboration and Interpersonal Communication. Journal of Broadcasting & Electronic Media 2021;65(4):549
    CrossRef
  246. Hunot-Alexander C, Croker H, Fildes A, Johnson F, Beeken RJ. Brief ‘Appetitive Trait Tailored Intervention’: Development in a Sample of Adults with Overweight and Obesity. Behaviour Change 2022;39(2):106
    CrossRef
  247. Park J, Park M, Seo Y. Effectiveness of Information and Communication Technology on Obesity in Childhood and Adolescence: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(11):e29003
    CrossRef
  248. María Gómez A, Cristina Henao D, León Vargas F, Mauricio Muñoz O, David Lucero O, García Jaramillo M, Aldea A, Martin C, Miguel Rodríguez Hortúa L, Patricia Rubio Reyes C, Alejandra Páez Hortúa M, Rondón M. Efficacy of the mHealth application in patients with type 2 diabetes transitioning from inpatient to outpatient care: A randomized controlled clinical trial. Diabetes Research and Clinical Practice 2022;189:109948
    CrossRef
  249. Dadaeva V, Stolyar V, Drapkina O. Perspectives of telemedicine technologies in the treatment of overweight and obesity. Profilakticheskaya meditsina 2023;26(2):7
    CrossRef
  250. Bzikowska-Jura A, Sobieraj P, Raciborski F. Low Comparability of Nutrition-Related Mobile Apps against the Polish Reference Method—A Validity Study. Nutrients 2021;13(8):2868
    CrossRef
  251. Lee C, Chung K. A Pilot Study for Testing the Effectiveness and Cost-Efficiency of Lottery Incentive in mHealth App that Promotes Walking. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2022;59:004695802210913
    CrossRef
  252. Hertel G, Hochrein A, Suren C, Minzlaff P, Banke IJ, Willers J, von Eisenhart-Rothe R, Prodinger PM. Injury incidence and specific injury patterns in app-based bodyweight training (Freeletics): results of an international survey with 3668 participants. BMC Sports Science, Medicine and Rehabilitation 2022;14(1)
    CrossRef
  253. Carey A, Yang Q, DeLuca L, Toro-Ramos T, Kim Y, Michaelides A. The Relationship Between Weight Loss Outcomes and Engagement in a Mobile Behavioral Change Intervention: Retrospective Analysis. JMIR mHealth and uHealth 2021;9(11):e30622
    CrossRef
  254. Oh YJ, Zhang J, Fang M, Fukuoka Y. A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1)
    CrossRef
  255. Qin Y, Wang X, Namkoong K. A meta-analysis of the overall effect of mHealth physical activity interventions for weight loss and the moderating effect of behavioral change theories, techniques, and mobile technologies. Mobile Media & Communication 2022;10(2):337
    CrossRef
  256. Jung J, Cho I. Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2022;10(1):e30682
    CrossRef
  257. Hagman E, Johansson L, Kollin C, Marcus E, Drangel A, Marcus L, Marcus C, Danielsson P. Effect of an interactive mobile health support system and daily weight measurements for pediatric obesity treatment, a 1-year pragmatical clinical trial. International Journal of Obesity 2022;46(8):1527
    CrossRef
  258. Hauptmann H, Leipold N, Madenach M, Wintergerst M, Lurz M, Groh G, Böhm M, Gedrich K, Krcmar H. Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study. User Modeling and User-Adapted Interaction 2022;32(5):923
    CrossRef
  259. Siniarski A, Sobieraj P, Samel-Kowalik P, Sińska B, Milewska M, Bzikowska-Jura A. Nutrition-related mobile applications - Should they be used for dietary prevention and treatment of cardiovascular diseases?. Nutrition, Metabolism and Cardiovascular Diseases 2022;32(11):2505
    CrossRef
  260. Jansson AK, Lubans DR, Duncan MJ, Smith JJ, Bauman A, Attia J, Plotnikoff RC, Komaris DS. Validity of muscular fitness self-assessments in the ecofit smartphone application: A correlation study. PLOS ONE 2022;17(12):e0278374
    CrossRef
  261. Ferreira Silva RM, Fonseca Terra L, da Silva Valadão Fernandes M, Noll PRES, de Almeida AA, Noll M. Physical Activity and Sedentary Behavior in High School Students: A Quasi Experimental Study via Smartphone during the COVID-19 Pandemic. Children 2023;10(3):479
    CrossRef
  262. Kim HH, Kim Y, Michaelides A, Park YR. Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study. Journal of Medical Internet Research 2022;24(4):e29380
    CrossRef
  263. Ho TCY, McGrath C, Yiu CKY, Lee GHM. Apps for Promoting Children’s Oral Health: Systematic Search in App Stores and Quality Evaluation. JMIR Pediatrics and Parenting 2022;5(2):e28238
    CrossRef
  264. Drapkina OM, Karamnova NS, Kontsevaya AV, Gorny BE, Dadaeva VA, Drozdova LY, Yeganyan RA, Eliashevich SO, Izmailova OV, Lavrenova EA, Lischenko OV, Skripnikova IA, Shvabskaya OB, Shishkova VN. Russian Society for the Prevention of Noncommunicable Diseases (ROPNIZ). Alimentary-dependent risk factors for chronic non-communicable diseases and eating habits: dietary correction within the framework of preventive counseling. Methodological Guidelines. Cardiovascular Therapy and Prevention 2021;20(5):2952
    CrossRef
  265. Marcus BH, Larsen BA, Linke SE, Hartman SJ, Pekmezi D, Benitez T, Sallis J, Mendoza-Vasconez AS, Dunsiger SI. Long-term physical activity outcomes in the Seamos Activas II trial. Preventive Medicine Reports 2021;24:101628
    CrossRef
  266. Hohberg V, Kreppke J, Kohl J, Seelig E, Zahner L, Streckmann F, Gerber M, König D, Faude O. Effectiveness of a personal health coaching intervention (diabetescoach) in patients with type 2 diabetes: protocol for an open-label, pragmatic randomised controlled trial. BMJ Open 2022;12(6):e057948
    CrossRef
  267. Bricker J, Miao Z, Mull K, Santiago-Torres M, Vock DM. Can a Single Variable Predict Early Dropout From Digital Health Interventions? Comparison of Predictive Models From Two Large Randomized Trials. Journal of Medical Internet Research 2023;25:e43629
    CrossRef
  268. Hayotte M, Gioda J, d’Arripe-Longueville F. Effects and Acceptability of Technology-Based Physical Activity Interventions in Bariatric Surgery: a Scoping Review. Obesity Surgery 2022;32(7):2445
    CrossRef
  269. Nyström CD, Sandin S, Henriksson P, Henriksson H, Trolle-Lagerros Y, Larsson C, Maddison R, Ortega FB, Pomeroy J, Ruiz JR, Silfvernagel K, Timpka T, Löf M. Mobile-based intervention intended to stop obesity in preschool-aged children: the MINISTOP randomized controlled trial ,. The American Journal of Clinical Nutrition 2017;105(6):1327
    CrossRef
  270. Liu S, Wu Y, Chen W, Su C, Chin C. Using Ballistocardiogram and Impedance Plethysmogram for Minimal Contact Measurement of Blood Pressure Based on a Body Weight-Fat Scale. Sensors 2023;23(4):2318
    CrossRef
  271. McGuirt JT, Gustafson A, Ammerman AS, Tucker-McLaughlin M, Enahora B, Moore C, Dunnagan D, Prentice-Dunn H, Bedno S. EatWellNow: Formative Development of a Place-Based Behavioral “Nudge” Technology Intervention to Promote Healthier Food Purchases among Army Soldiers. Nutrients 2022;14(7):1458
    CrossRef
  272. Bae S, Borac S, Emre Y, Wang J, Wu J, Kashyap M, Kang S, Chen L, Moran M, Cannon J, Teasley ES, Chai A, Liu Y, Wadhwa N, Krainin M, Rubinstein M, Maciel A, McConnell MV, Patel S, Corrado GS, Taylor JA, Zhan J, Po MJ. Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms. Communications Medicine 2022;2(1)
    CrossRef
  273. Wu C, Huang C, Wang Y, Islam M, Kung W, Weng Y, Su C. mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(6):e35747
    CrossRef
  274. Chen D, Zhang H, Cui N, Song F, Tang L, Shao J, Wu J, Guo P, Liu N, Wang X, Ye Z. Development of a behavior change intervention to improve physical activity adherence in individuals with metabolic syndrome using the behavior change wheel. BMC Public Health 2022;22(1)
    CrossRef
  275. Szinay D, Perski O, Jones A, Chadborn T, Brown J, Naughton F. Perceptions of Factors Influencing Engagement With Health and Well-being Apps in the United Kingdom: Qualitative Interview Study. JMIR mHealth and uHealth 2021;9(12):e29098
    CrossRef
  276. Rowland S, Ramos AK, Trinidad N, Quintero S, Johnson Beller R, Struwe L, Pozehl B. Feasibility, Usability and Acceptability of a mHealth Intervention to Reduce Cardiovascular Risk in Rural Hispanic Adults: Descriptive Study. JMIR Formative Research 2022;6(12):e40379
    CrossRef
  277. Konda S, Ogasawara I, Fujita K, Aoyama C, Yokoyama T, Magome T, Yulong C, Hashizume K, Matsuo T, Nakata K. Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application. International Journal of Environmental Research and Public Health 2022;19(4):1958
    CrossRef
  278. Jiang LC, Sun M, Huang G. Uncovering the Heterogeneity in Fitness App Use: A Latent Class Analysis of Chinese Users. International Journal of Environmental Research and Public Health 2022;19(17):10679
    CrossRef
  279. KODAMA T, OBAYASHI Y, TANIMURA S, MIYATA C, NISHIDE R, MURABATA M, KATAOKA M, SHINKODA H, KADOWAKI A. A Randomized Controlled Trial on Primigravid Women of Text Messaging Intervention Offering Pregnancy and Childbirth Support. Journal of UOEH 2021;43(3):305
    CrossRef
  280. Chew HSJ, Koh WL, Ng JSHY, Tan KK. Sustainability of Weight Loss Through Smartphone Apps: Systematic Review and Meta-analysis on Anthropometric, Metabolic, and Dietary Outcomes. Journal of Medical Internet Research 2022;24(9):e40141
    CrossRef
  281. Hawkins JE, Higgins K. There’s an app for that: educational intervention to promote mobile health management app use in rural Ireland. International Journal of Health Promotion and Education 2022;60(5):273
    CrossRef
  282. Lee JW, Park SJ, Han DH. Factors Associated with Intention of Sustainable Use in Players of the Wii Fit or Smartphone-Based Fitness Applications. International Journal of Human–Computer Interaction 2024;40(4):999
    CrossRef
  283. Miller K, Jerome GJ. Self-Monitoring Physical Activity, Diet, and Weight Among Adults Who Are Legally Blind: Exploratory Investigation. JMIR Rehabilitation and Assistive Technologies 2022;9(4):e42923
    CrossRef
  284. Kim J, Kim H, Lee J, Ko H, Jung S, Kim HJ, Wie G, Kim Y. Comparison of Energy and Macronutrients Between a Mobile Application and a Conventional Dietary Assessment Method in Korea. Journal of the Academy of Nutrition and Dietetics 2022;122(11):2127
    CrossRef
  285. Arroyo AC, Zawadzki MJ. The Implementation of Behavior Change Techniques in mHealth Apps for Sleep: Systematic Review. JMIR mHealth and uHealth 2022;10(4):e33527
    CrossRef
  286. Yoshimura E, Tajiri E, Michiwaki R, Matsumoto N, Hatamoto Y, Tanaka S. Long-term Effects of the Use of a Step Count–Specific Smartphone App on Physical Activity and Weight Loss: Randomized Controlled Clinical Trial. JMIR mHealth and uHealth 2022;10(10):e35628
    CrossRef
  287. Kulikova M, Kalinina A, Kontsevaya A, Drapkina O. Remote control of weight loss using the Doctor PM mobile app: the views of patients and healthcare professionals. Profilakticheskaya meditsina 2022;25(10):35
    CrossRef
  288. Han M, Rhee SY. Effectiveness of Mobile Health Applications for 5% Body Weight Reduction in Obese and Overweight Adults. Journal of Obesity & Metabolic Syndrome 2021;30(4):354
    CrossRef
  289. Creaser A, Bingham D, Bennett H, Costa S, Clemes S. The development of a family-based wearable intervention using behaviour change and co-design approaches: move and connect. Public Health 2023;217:54
    CrossRef
  290. Labonté K, Knäuper B, Dubé L, Yang N, Nielsen DE. Adherence to a caloric budget and body weight change vary by season, gender, and BMI: An observational study of daily users of a mobile health app. Obesity Science & Practice 2022;8(6):735
    CrossRef
  291. Stecher C, Pfisterer B, Harden SM, Epstein D, Hirschmann JM, Wunsch K, Buman MP. Assessing the Pragmatic Nature of Mobile Health Interventions Promoting Physical Activity: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2023;11:e43162
    CrossRef
  292. Wong EML, Leung DYP, Wang Q, Leung AYM, Cheung ASP. The effect of a lifestyle intervention program using a mobile application versus the effect of a program using a booklet for adults with metabolic syndrome: A three‐arm randomized controlled trial. Journal of Nursing Scholarship 2023;55(5):936
    CrossRef
  293. Matsuhisa T, Fujie R, Masukawa R, Nakamura N, Mori N, Ito K, Yoshikawa Y, Okazaki K, Sato J. Impact of a Mindfulness Mobile Application on Weight Loss and Eating Behavior in People with Metabolic Syndrome: a Pilot Randomized Controlled Trial. International Journal of Behavioral Medicine 2024;31(2):202
    CrossRef
  294. Sakane N, Suganuma A, Domichi M, Sukino S, Abe K, Fujisaki A, Kanazawa A, Sugimoto M. The Effect of a mHealth App (KENPO-app) for Specific Health Guidance on Weight Changes in Adults With Obesity and Hypertension: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e43236
    CrossRef
  295. Hayotte M, d’Arripe-Longueville F. Le recours aux technologies pour promouvoir l’activité physique dans la chirurgie bariatrique : analyse du contenu de deux technologies. Cahiers de Nutrition et de Diététique 2023;58(3):202
    CrossRef
  296. Noh E, Won J, Jo S, Hahm D, Lee H. Conversational Agents for Body Weight Management: Systematic Review. Journal of Medical Internet Research 2023;25:e42238
    CrossRef
  297. . Smartphone application: a solution for the follow-up of patients with primary hip arthroplasty during COVID-19 pandemic. Egyptian Orthopaedic Journal 2023;57(4):346
    CrossRef
  298. Joshi S, Bisht B, Kumar V, Singh N, Jameel Pasha SB, Singh N, Kumar S. Artificial intelligence assisted food science and nutrition perspective for smart nutrition research and healthcare. Systems Microbiology and Biomanufacturing 2024;4(1):86
    CrossRef
  299. Eguchi A, Kawamura Y, Kawashima T, Ghaznavi C, Ishimura K, Kohsaka S, Matsuo S, Mizuno S, Sasaki Y, Takahashi A, Tanoue Y, Yoneoka D, Miyata H, Nomura S. The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study. JMIR Formative Research 2023;7:e48435
    CrossRef
  300. Arghittu A, Castiglia P, Dettori M. Family Medicine and Primary Healthcare: The Past, Present and Future. Healthcare 2023;11(15):2128
    CrossRef
  301. Dannapfel P, Bendtsen P, Bendtsen M, Thomas K. Implementing smoking cessation in routine primary care—a qualitative study. Frontiers in Health Services 2023;3
    CrossRef
  302. Martin-Vicario L, Bustos Díaz J, Nicolas-Sans R, Yan Z. Weight Loss App Descriptors in App Stores: A Qualitative Analysis of the Spanish Market. Human Behavior and Emerging Technologies 2023;2023:1
    CrossRef
  303. Salinari A, Machì M, Armas Diaz Y, Cianciosi D, Qi Z, Yang B, Ferreiro Cotorruelo MS, Villar SG, Dzul Lopez LA, Battino M, Giampieri F. The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment. Diseases 2023;11(3):97
    CrossRef
  304. Mahmoodi Kahriz B, Snuggs S, Sah A, Clot S, Lamport D, Forrest J, Helme-Guizon A, Wilhelm M, Caldara C, Anin CV, Vogt J. Unveiling Consumer Preferences and Intentions for Cocreated Features of a Combined Diet and Physical Activity App: Cross-Sectional Study in 4 European Countries. JMIR Human Factors 2023;10:e44993
    CrossRef
  305. Ahern S, Marshall S, Wallbank G, Jawad D, Taki S, Baur LA, Wen LM. Communication strategies and effectiveness of early childhood obesity‐related prevention programs for linguistically diverse communities: A rapid review. Obesity Reviews 2023;24(12)
    CrossRef
  306. Bonn SE, Hult M, Spetz K, Eke H, Andersson E, Wirén M, Löf M, Trolle Lagerros Y. Effect of a Smartphone Application on Physical Activity and Weight Loss After Bariatric Surgery—Results from a Randomized Controlled Trial. Obesity Surgery 2023;33(9):2841
    CrossRef
  307. Mitchaï PM, Mapinduzi J, Verbrugghe J, Michiels S, Janssens L, Kossi O, Bonnechère B, Timmermans A. Mobile technologies for rehabilitation in non-specific spinal disorders: a systematic review of the efficacy and potential for implementation in low- and middle-income countries. European Spine Journal 2023;32(12):4077
    CrossRef
  308. Berry MP, Chwyl C, Metzler AL, Sun JH, Dart H, Forman EM. Associations between behaviour change technique clusters and weight loss outcomes of automated digital interventions: a systematic review and meta-regression. Health Psychology Review 2023;17(4):521
    CrossRef
  309. Prados Pérez M, Libran M, Ripollés J, Serrano C, Monleón A. Valoración de la utilidad y la satisfacción de una intervención nutricional mixta: presencial y telemática en pacientes con obesidad grado 2 y 3. Revista de la Sociedad Española de Cirugía de Obesidad y Metabólica y de la Sociedad Española para el Estudio de la Obesidad 2023;
    CrossRef
  310. Han CY, Lim SL, Ong KW, Johal J, Gulyani A. Behavioral Lifestyle Intervention Program Using Mobile Application Improves Diet Quality in Adults With Prediabetes (D’LITE Study): A Randomized Controlled Trial. Journal of the Academy of Nutrition and Dietetics 2024;124(3):358
    CrossRef
  311. Deiana G, Dettori M, Arghittu A, Azara A, Gabutti G, Castiglia P. Artificial Intelligence and Public Health: Evaluating ChatGPT Responses to Vaccination Myths and Misconceptions. Vaccines 2023;11(7):1217
    CrossRef
  312. Martin-Vicario L, Bustos Díaz J, Martínez-Sánchez ME, Nicolas-Sans R. Mobile applications for weight-loss in the Spanish-speaking market: Usability and engagement. Obesity Medicine 2023;41:100499
    CrossRef
  313. . Quantifier le corps menstrué. Réseaux 2023;N° 241(5):275
    CrossRef
  314. Kang H, Moon M. Effects of Digital Physical Activity Interventions for Breast Cancer Patients and Survivors: A Systematic Review and Meta-Analysis. Healthcare Informatics Research 2023;29(4):352
    CrossRef
  315. Markkanen JO, Oikarinen N, Savolainen MJ, Merikallio H, Nyman V, Salminen V, Virkkula T, Karppinen P, Oinas-Kukkonen H, Hukkanen J. Mobile health behaviour change support system as independent treatment tool for obesity: a randomized controlled trial. International Journal of Obesity 2024;48(3):376
    CrossRef
  316. Martin-Vicario L, Martínez-Sánchez ME, Nicolas-Sans R. Factors influencing perceived usefulness of a branded weight-loss app. British Food Journal 2024;126(4):1725
    CrossRef
  317. Jahan E, Almansour R, Ijaz K, Baptista S, Giordan LB, Ronto R, Zaman S, O'Hagan E, Laranjo L. Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2024;
    CrossRef
  318. Haworth L, Danes-Daetz C, Stainton P, Birdsall D, Chohan A. Promoting physical activity for health benefits via a 10-week mobile-application-based personal training programme. International Journal of Health Promotion and Education 2024;:1
    CrossRef
  319. Olsen C, Lungu DA. Effectiveness of Heia Meg, a smartphone app, in improving decisions about nutrition and physical activity: a prospective longitudinal study (Preprint). JMIR Formative Research 2023;
    CrossRef
  320. Ma L, Zhao X, Zhou Z. The effect of fixed physical usage patterns on the engagement of physical activity apps: a real-world data analysis. Behaviour & Information Technology 2024;43(2):246
    CrossRef
  321. Kulikova M, Kalinina A, Kontsevaya A, Drapkina O. Effectiveness of body weight control using remote digital technologies in various organizational models of primary health care. Medical Technologies. Assessment and Choice 2024;(1):26
    CrossRef
  322. Hegde N, Vardhan M, Nathani D, Rosenzweig E, Speed C, Karthikesalingam A, Seneviratne M, Grosan C. Infusing behavior science into large language models for activity coaching. PLOS Digital Health 2024;3(4):e0000431
    CrossRef

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