Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 28.04.07 in Vol 9, No 2 (2007)

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

Works citing "Using Internet and Mobile Phone Technology to Deliver an Automated Physical Activity Program: Randomized Controlled Trial"

Robert Hurling, Michael Catt, Marco De Boni, Bruce Fairley, Tina Hurst, Peter Murray, Alannah Richardson, Jaspreet Sodhi

J Med Internet Res 2007 (Apr 28); 9(2):e7 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9.2.e7):

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

  1. Kelly CM, Shahrokni A. Moving beyond Karnofsky and ECOG Performance Status Assessments with New Technologies. Journal of Oncology 2016;2016:1
    CrossRef
  2. Dunton GF, Atienza AA, Castro CM, King AC. Using Ecological Momentary Assessment to Examine Antecedents and Correlates of Physical Activity Bouts in Adults Age 50+ Years: A Pilot Study. Annals of Behavioral Medicine 2009;38(3):249
    CrossRef
  3. . mHealth Sensors Transforming Healthcare. Cyberpsychology, Behavior, and Social Networking 2015;18(9):489
    CrossRef
  4. Bauer S, de Niet J, Timman R, Kordy H. Enhancement of care through self-monitoring and tailored feedback via text messaging and their use in the treatment of childhood overweight. Patient Education and Counseling 2010;79(3):315
    CrossRef
  5. Krishna S, Boren SA. Diabetes Self-Management Care via Cell Phone: A Systematic Review. Journal of Diabetes Science and Technology 2008;2(3):509
    CrossRef
  6. . Use of a Text Messaging Program to Promote Adherence to Daily Physical Activity Guidelines: A Review of the Literature. Bariatric Nursing and Surgical Patient Care 2012;7(1):13
    CrossRef
  7. Poppe L, Van der Mispel C, De Bourdeaudhuij I, Verloigne M, Shadid S, Crombez G, van Wouwe JP. Users’ thoughts and opinions about a self-regulation-based eHealth intervention targeting physical activity and the intake of fruit and vegetables: A qualitative study. PLOS ONE 2017;12(12):e0190020
    CrossRef
  8. Déglise C, Suggs LS, Odermatt P. Short Message Service (SMS) Applications for Disease Prevention in Developing Countries. Journal of Medical Internet Research 2012;14(1):e3
    CrossRef
  9. Chen M, Lin N. Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions. Internet Research 2018;28(2):351
    CrossRef
  10. Direito A, Jiang Y, Whittaker R, Maddison R. Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(8):e210
    CrossRef
  11. Jacobs N, De Bourdeaudhuij I, Claes N. Surfing depth on a behaviour change website: Predictors and effects on behaviour. Informatics for Health and Social Care 2010;35(2):41
    CrossRef
  12. Glasner S, Chokron Garneau H, Ang A, Ray L, Venegas A, Rawson R, Kalichman S, Moitra E. Preliminary Efficacy of a Cognitive Behavioral Therapy Text Messaging Intervention Targeting Alcohol Use and Antiretroviral Therapy Adherence: A Randomized Clinical Trial. PLOS ONE 2020;15(3):e0229557
    CrossRef
  13. Mehran L, Nazeri P, Delshad H, Mirmiran P, Mehrabi Y, Azizi F. Does a text messaging intervention improve knowledge, attitudes and practice regarding iodine deficiency and iodized salt consumption?. Public Health Nutrition 2012;15(12):2320
    CrossRef
  14. Wijsman CA, Westendorp RG, Verhagen EA, Catt M, Slagboom PE, de Craen AJ, Broekhuizen K, van Mechelen W, van Heemst D, van der Ouderaa F, Mooijaart SP. Effects of a Web-Based Intervention on Physical Activity and Metabolism in Older Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(11):e233
    CrossRef
  15. Harrison V, Proudfoot J, Wee PP, Parker G, Pavlovic DH, Manicavasagar V. Mobile mental health: Review of the emerging field and proof of concept study. Journal of Mental Health 2011;20(6):509
    CrossRef
  16. Hermsen S, Frost J, Renes RJ, Kerkhof P. Using feedback through digital technology to disrupt and change habitual behavior: A critical review of current literature. Computers in Human Behavior 2016;57:61
    CrossRef
  17. Glasner-Edwards S, Patrick K, Ybarra ML, Reback CJ, Rawson RA, Chokron Garneau H, Chavez K, Venegas A. A Cognitive Behavioral Therapy–Based Text Messaging Intervention Versus Medical Management for HIV-Infected Substance Users: Study Protocol for a Pilot Randomized Trial. JMIR Research Protocols 2016;5(2):e131
    CrossRef
  18. Soureti A, Murray P, Cobain M, Chinapaw M, van Mechelen W, Hurling R. Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population. Journal of Medical Internet Research 2011;13(4):e118
    CrossRef
  19. Takeuchi S, Horiuchi S. Randomised controlled trial using smartphone website vs leaflet to support antenatal perineal massage practice for pregnant women. Women and Birth 2016;29(5):430
    CrossRef
  20. O’Reilly GA, Spruijt-Metz D. Current mHealth Technologies for Physical Activity Assessment and Promotion. American Journal of Preventive Medicine 2013;45(4):501
    CrossRef
  21. Lewis ZH, Lyons EJ, Jarvis JM, Baillargeon J. Using an electronic activity monitor system as an intervention modality: A systematic review. BMC Public Health 2015;15(1)
    CrossRef
  22. Paruthi G, Raj S, Colabianchi N, Klasnja P, Newman MW. Finding the Sweet Spot(s). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(1):1
    CrossRef
  23. Abt G, Bray J, Benson AC. Measuring Moderate-Intensity Exercise with the Apple Watch: Validation Study. JMIR Cardio 2018;2(1):e6
    CrossRef
  24. Coolbaugh CL, Raymond Jr SC, Hawkins DA. Feasibility of a Dynamic Web Guidance Approach for Personalized Physical Activity Prescription Based on Daily Information From Wearable Technology. JMIR Research Protocols 2015;4(2):e67
    CrossRef
  25. Compernolle S, Vandelanotte C, Cardon G, De Bourdeaudhuij I, De Cocker K. Effectiveness of a Web-Based, Computer-Tailored, Pedometer-Based Physical Activity Intervention for Adults: A Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(2):e38
    CrossRef
  26. Whittaker R, Matoff-Stepp S, Meehan J, Kendrick J, Jordan E, Stange P, Cash A, Meyer P, Baitty J, Johnson P, Ratzan S, Rhee K. Text4baby: Development and Implementation of a National Text Messaging Health Information Service. American Journal of Public Health 2012;102(12):2207
    CrossRef
  27. Dar G, Marx Y, Ioffe E, Kodesh E. The Effectiveness of a Multimedia Messaging Service Reminder System in the Management of Knee Osteoarthritis: A Pilot Study. International Journal of Clinical Medicine 2014;05(09):483
    CrossRef
  28. Faghanipour S, Hajikazemi E, Nikpour S, Shariatpanahi SA, Hosseini AF. Mobile Phone Short Message Service (SMS) for Weight Management in Iranian Overweight and Obese Women: A Pilot Study. International Journal of Telemedicine and Applications 2013;2013:1
    CrossRef
  29. Shaw R, Bosworth H. Short message service (SMS) text messaging as an intervention medium for weight loss: A literature review. Health Informatics Journal 2012;18(4):235
    CrossRef
  30. Long X, Pijl M, Pauws S, Lacroix J, C. Goris AH, Aarts RM. Towards tailored physical activity health intervention: Predicting dropout participants. Health and Technology 2014;4(3):273
    CrossRef
  31. Morton K, Sutton S, Hardeman W, Troughton J, Yates T, Griffin S, Davies M, Khunti K, Eborall H. A Text-Messaging and Pedometer Program to Promote Physical Activity in People at High Risk of Type 2 Diabetes: The Development of the PROPELS Follow-On Support Program. JMIR mHealth and uHealth 2015;3(4):e105
    CrossRef
  32. Runyan JD, Steinke EG. Virtues, ecological momentary assessment/intervention and smartphone technology. Frontiers in Psychology 2015;6
    CrossRef
  33. Eckerstorfer LV, Tanzer NK, Vogrincic-Haselbacher C, Kedia G, Brohmer H, Dinslaken I, Corcoran K. Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression. JMIR mHealth and uHealth 2018;6(11):e10076
    CrossRef
  34. Bartholdy C, Bliddal H, Henriksen M. Effectiveness of text messages for decreasing inactive behaviour in patients with knee osteoarthritis: a pilot randomised controlled study. Pilot and Feasibility Studies 2019;5(1)
    CrossRef
  35. Morris L, Wilson S, Kelly W. Methods of conducting effective outreach to private well owners – a literature review and model approach. Journal of Water and Health 2016;14(2):167
    CrossRef
  36. Kim JY, Wineinger NE, Taitel M, Radin JM, Akinbosoye O, Jiang J, Nikzad N, Orr G, Topol E, Steinhubl S. Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors. Journal of Medical Internet Research 2016;18(11):e292
    CrossRef
  37. . Can Older Adults Benefit from Smart Devices, Wearables, and Other Digital Health Options to Enhance Cardiac Rehabilitation?. Clinics in Geriatric Medicine 2019;35(4):489
    CrossRef
  38. Fournier M, d'Arripe‐Longueville F, Radel R. Testing the effect of text messaging cues to promote physical activity habits: a worksite‐based exploratory intervention. Scandinavian Journal of Medicine & Science in Sports 2017;27(10):1157
    CrossRef
  39. Rotheram-Borus MJ, Tomlinson M, Swendeman D, Lee A, Jones E. Standardized Functions for Smartphone Applications: Examples from Maternal and Child Health. International Journal of Telemedicine and Applications 2012;2012:1
    CrossRef
  40. Soltani H, Duxbury AMS, Arden MA, Dearden A, Furness PJ, Garland C. Maternal Obesity Management Using Mobile Technology: A Feasibility Study to Evaluate a Text Messaging Based Complex Intervention during Pregnancy. Journal of Obesity 2015;2015:1
    CrossRef
  41. Fitzner K, Moss G. Telehealth—An Effective Delivery Method for Diabetes Self-Management Education?. Population Health Management 2013;16(3):169
    CrossRef
  42. Liu C, Gao G, Agarwal R. Unraveling the “Social” in Social Norms: The Conditioning Effect of User Connectivity. Information Systems Research 2019;30(4):1272
    CrossRef
  43. CHEE W, LEE Y, CHEE E, IM E. Practical Guidelines for Development of Web-Based Interventions. CIN: Computers, Informatics, Nursing 2014;32(10):504
    CrossRef
  44. Franklin NC, Lavie CJ, Arena RA. Personal health technology: A new era in cardiovascular disease prevention. Postgraduate Medicine 2015;127(2):150
    CrossRef
  45. Zhou M, Fukuoka Y, Mintz Y, Goldberg K, Kaminsky P, Flowers E, Aswani A. Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(1):e28
    CrossRef
  46. Bexelius C, Sandin S, Trolle Lagerros Y, Litton J, Löf M. Estimation of Physical Activity Levels Using Cell Phone Questionnaires: A Comparison With Accelerometry for Evaluation of Between-Subject and Within-Subject Variations. Journal of Medical Internet Research 2011;13(3):e70
    CrossRef
  47. Direito A, Carraça E, Rawstorn J, Whittaker R, Maddison R. mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials. Annals of Behavioral Medicine 2017;51(2):226
    CrossRef
  48. 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
  49. Lewis E, Huang HC, Hassmén P, Welvaert M, Pumpa KL. Adding Telephone and Text Support to an Obesity Management Program Improves Behavioral Adherence and Clinical Outcomes. A Randomized Controlled Crossover Trial. International Journal of Behavioral Medicine 2019;26(6):580
    CrossRef
  50. JOHNSTON SK, NGUYEN HQ, WOLPIN S. Designing and Testing a Web-Based Interface for Self-monitoring of Exercise and Symptoms for Older Adults With Chronic Obstructive Pulmonary Disease. CIN: Computers, Informatics, Nursing 2009;27(3):166
    CrossRef
  51. McCallum C, Rooksby J, Gray CM. Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review. JMIR mHealth and uHealth 2018;6(3):e58
    CrossRef
  52. Wanner M, Martin-Diener E, Braun-Fahrländer C, Bauer G, Martin BW. Effectiveness of Active-Online, an Individually Tailored Physical Activity Intervention, in a Real-Life Setting: Randomized Controlled Trial. Journal of Medical Internet Research 2009;11(3):e23
    CrossRef
  53. Shapiro JR, Koro T, Doran N, Thompson S, Sallis JF, Calfas K, Patrick K. Text4Diet: A randomized controlled study using text messaging for weight loss behaviors. Preventive Medicine 2012;55(5):412
    CrossRef
  54. Nour M, Chen J, Allman-Farinelli M. Efficacy and External Validity of Electronic and Mobile Phone-Based Interventions Promoting Vegetable Intake in Young Adults: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2016;18(4):e58
    CrossRef
  55. Kolodziejczyk JK, Norman GJ, Barrera-Ng A, Dillon L, Marshall S, Arredondo E, Rock CL, Raab F, Griswold WG, Sullivan M, Patrick K. Feasibility and Effectiveness of an Automated Bilingual Text Message Intervention for Weight Loss: Pilot Study. JMIR Research Protocols 2013;2(2):e48
    CrossRef
  56. Sharaievska I, Battista RA, Zwetsloot J. Use of Physical Activity Monitoring Devices by Families in Rural Communities: Qualitative Approach. JMIR Pediatrics and Parenting 2019;2(1):e10658
    CrossRef
  57. 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
  58. Watson S, Woodside JV, Ware LJ, Hunter SJ, McGrath A, Cardwell CR, Appleton KM, Young IS, McKinley MC. Effect of a Web-Based Behavior Change Program on Weight Loss and Cardiovascular Risk Factors in Overweight and Obese Adults at High Risk of Developing Cardiovascular Disease: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(7):e177
    CrossRef
  59. Fjeldsoe BS, Miller YD, O’Brien JL, Marshall AL. Iterative development of MobileMums: a physical activity intervention for women with young children. International Journal of Behavioral Nutrition and Physical Activity 2012;9(1)
    CrossRef
  60. Lau P, Pitkethly A, Leung B, Lau E, Wang J. The Intervention Effect of SMS Delivery on Chinese Adolescent’s Physical Activity. International Journal of Environmental Research and Public Health 2019;16(5):787
    CrossRef
  61. Crossley SGM, McNarry MA, Eslambolchilar P, Knowles Z, Mackintosh KA. The Tangibility of Personalized 3D-Printed Feedback May Enhance Youths’ Physical Activity Awareness, Goal Setting, and Motivation: Intervention Study. Journal of Medical Internet Research 2019;21(6):e12067
    CrossRef
  62. Yu CH, Bahniwal R, Laupacis A, Leung E, Orr MS, Straus SE. Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers. Journal of the American Medical Informatics Association 2012;19(4):514
    CrossRef
  63. Ware LJ, Hurling R, Bataveljic O, Fairley BW, Hurst TL, Murray P, Rennie KL, Tomkins CE, Finn A, Cobain MR, Pearson DA, Foreyt JP. Rates and Determinants of Uptake and Use of an Internet Physical Activity and Weight Management Program in Office and Manufacturing Work Sites in England: Cohort Study. Journal of Medical Internet Research 2008;10(4):e56
    CrossRef
  64. Silberman J, Schwartz S, Giuseffi DL, Wang C, Nevedal D, Bedrosian R. Reductions in Employee Productivity Impairment Observed After Implementation of Web-Based Worksite Health Promotion Programs. Journal of Occupational & Environmental Medicine 2011;53(12):1404
    CrossRef
  65. . Issues in mHealth: Findings From Key Informant Interviews. Journal of Medical Internet Research 2012;14(5):e129
    CrossRef
  66. Labrunée M, Antoine D, Vergès B, Robin I, Casillas J, Gremeaux V. Effects of a home-based rehabilitation program in obese type 2 diabetics. Annals of Physical and Rehabilitation Medicine 2012;55(6):415
    CrossRef
  67. de Bruin JS, Schuh C, Seeling W, Luger E, Gall M, Hütterer E, Kornek G, Ludvik B, Hoppichler F, Schindler K. Assessing the feasibility of a mobile health-supported clinical decision support system for nutritional triage in oncology outpatients using Arden Syntax. Artificial Intelligence in Medicine 2018;92:34
    CrossRef
  68. Al-Eisa E, Al-Rushud A, Alghadir A, Anwer S, Al-Harbi B, Al-Sughaier N, Al-Yoseef N, Al-Otaibi R, Al-Muhaysin HA. Effect of Motivation by “Instagram” on Adherence to Physical Activity among Female College Students. BioMed Research International 2016;2016:1
    CrossRef
  69. Lin JJ, Mann DM. Application of persuasion and health behavior theories for behavior change counseling: Design of the ADAPT (Avoiding Diabetes Thru Action Plan Targeting) program. Patient Education and Counseling 2012;88(3):460
    CrossRef
  70. Hooglugt F, Ludden GDS. A Mobile App Adopting an Identity Focus to Promote Physical Activity (MoveDaily): Iterative Design Study. JMIR mHealth and uHealth 2020;8(6):e16720
    CrossRef
  71. Chen Y, Tsao L, Huang C, Yu Y, Liu I, Jou H. An Internet-based health management platform may effectively reduce the risk factors of metabolic syndrome among career women. Taiwanese Journal of Obstetrics and Gynecology 2013;52(2):215
    CrossRef
  72. Danaher BG, Seeley JR. Methodological Issues in Research on Web-Based Behavioral Interventions. Annals of Behavioral Medicine 2009;38(1):28
    CrossRef
  73. Kevill KA, Bazzy‐Asaad A, Pati S. Opportunities on the road to value‐based payment for children with chronic respiratory disease. Pediatric Pulmonology 2019;54(2):105
    CrossRef
  74. Luley C, Blaik A, Götz A, Kicherer F, Kropf S, Isermann B, Stumm G, Westphal S. Weight Loss by Telemonitoring of Nutrition and Physical Activity in Patients with Metabolic Syndrome for 1 Year. Journal of the American College of Nutrition 2014;33(5):363
    CrossRef
  75. Ostrander RE, Thompson HJ, Demiris G. Using Targeted Messaging to Increase Physical Activity in Older Adults: A Review. Journal of Gerontological Nursing 2014;40(9):36
    CrossRef
  76. . Therapeutic neuroscience education via e-mail: a case report. Physiotherapy Theory and Practice 2014;30(8):588
    CrossRef
  77. Freyne J, Yin J, Brindal E, Hendrie GA, Berkovsky S, Noakes M. Push Notifications in Diet Apps: Influencing Engagement Times and Tasks. International Journal of Human–Computer Interaction 2017;33(10):833
    CrossRef
  78. Brown LL, Lustria MLA, Rankins J. A Review of Web-Assisted Interventions for Diabetes Management: Maximizing the Potential for Improving Health Outcomes. Journal of Diabetes Science and Technology 2007;1(6):892
    CrossRef
  79. Bicard DF, Lott V, Mills J, Bicard S, Baylot‐Casey L. EFFECTS OF TEXT MESSAGED SELF‐MONITORING ON CLASS ATTENDANCE AND PUNCTUALITY OF AT‐RISK COLLEGE STUDENT ATHLETES. Journal of Applied Behavior Analysis 2012;45(1):205
    CrossRef
  80. Chang T, Chopra V, Zhang C, Woolford SJ. The Role of Social Media in Online Weight Management: Systematic Review. Journal of Medical Internet Research 2013;15(11):e262
    CrossRef
  81. Nioi A, Wendelboe-Nelson C, Cowan S, Cowie H, Rashid S, Ritchie P, Cherrie M, Lansdown TC, Cherrie JW. A randomised control crossover trial of a theory based intervention to improve sun-safe and healthy behaviours in construction workers: study protocol. BMC Public Health 2018;18(1)
    CrossRef
  82. Block G, Sternfeld B, Block CH, Block TJ, Norris J, Hopkins D, Quesenberry CP, Husson G, Clancy HA. Development of Alive! (A Lifestyle Intervention Via Email), and Its Effect on Health-related Quality of Life, Presenteeism, and Other Behavioral Outcomes: Randomized Controlled Trial. Journal of Medical Internet Research 2008;10(4):e43
    CrossRef
  83. Fjeldsoe BS, Marshall AL, Miller YD. Behavior Change Interventions Delivered by Mobile Telephone Short-Message Service. American Journal of Preventive Medicine 2009;36(2):165
    CrossRef
  84. Fukuoka Y, Kamitani E, Bonnet K, Lindgren T. Real-Time Social Support Through a Mobile Virtual Community to Improve Healthy Behavior in Overweight and Sedentary Adults: A Focus Group Analysis. Journal of Medical Internet Research 2011;13(3):e49
    CrossRef
  85. 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
    CrossRef
  86. Guthrie N, Bradlyn A, Thompson SK, Yen S, Haritatos J, Dillon F, Cole SW, Adams MA. Development of an Accelerometer-Linked Online Intervention System to Promote Physical Activity in Adolescents. PLOS ONE 2015;10(5):e0128639
    CrossRef
  87. Truzoli R, Rovetta C, Nola E, Matteucci L, Viganò C. Effectiveness of Text Messaging for the Management of Psychological and Somatic Distress in Depressed and Anxious Outpatients. The Open Psychology Journal 2019;12(1):12
    CrossRef
  88. Whittaker R, Merry S, Stasiak K, McDowell H, Doherty I, Shepherd M, Dorey E, Parag V, Ameratunga S, Rodgers A. MEMO—A Mobile Phone Depression Prevention Intervention for Adolescents: Development Process and Postprogram Findings on Acceptability From a Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(1):e13
    CrossRef
  89. Fjeldsoe BS, Miller YD, Marshall AL. MobileMums: A Randomized Controlled Trial of an SMS-Based Physical Activity Intervention. Annals of Behavioral Medicine 2010;39(2):101
    CrossRef
  90. Kulendran M, King D, Schmidtke KA, Curtis C, Gately P, Darzi A, Vlaev I. The use of commitment techniques to support weight loss maintenance in obese adolescents. Psychology & Health 2016;31(11):1332
    CrossRef
  91. Bennett GG, Glasgow RE. The Delivery of Public Health Interventions via the Internet: Actualizing Their Potential. Annual Review of Public Health 2009;30(1):273
    CrossRef
  92. Hill RP, Moran N. Social marketing meets interactive media. International Journal of Advertising 2011;30(5):815
    CrossRef
  93. Upadhyay RP, Chinnakali P, Odukoya O, Yadav K, Sinha S, Rizwan SA, Daral S, Chellaiyan VG, Silan V. High Neonatal Mortality Rates in Rural India: What Options to Explore?. ISRN Pediatrics 2012;2012:1
    CrossRef
  94. Gibney MJ, Walsh MC. The future direction of personalised nutrition: my diet, my phenotype, my genes. Proceedings of the Nutrition Society 2013;72(2):219
    CrossRef
  95. Seeger C, Van Laerhoven K, Buchmann A. MyHealthAssistant: An Event-driven Middleware for Multiple Medical Applications on a Smartphone-Mediated Body Sensor Network. IEEE Journal of Biomedical and Health Informatics 2015;19(2):752
    CrossRef
  96. King DK, Toobert DJ, Portz JD, Strycker LA, Doty A, Martin C, Boggs JM, Faber AJ, Geno CR, Glasgow RE. What patients want: relevant health information technology for diabetes self-management. Health and Technology 2012;2(3):147
    CrossRef
  97. Liu F, Kong X, Cao J, Chen S, Li C, Huang J, Gu D, Kelly TN. Mobile Phone Intervention and Weight Loss Among Overweight and Obese Adults: A Meta-Analysis of Randomized Controlled Trials. American Journal of Epidemiology 2015;181(5):337
    CrossRef
  98. Kourbelis C, Franzon J, Foote JW, Brown A, Daniel M, Coffee NT, Newman P, Ganesan A, Nicholls S, Clark RA. Adherence to activity monitoring devices or smartphone applications for improving physical activity in adults with cardiovascular disease: a systematic review protocol. JBI Database of Systematic Reviews and Implementation Reports 2018;16(8):1634
    CrossRef
  99. Partridge SR, Raeside R, Singleton A, Hyun K, Redfern J. Effectiveness of Text Message Interventions for Weight Management in Adolescents: Systematic Review. JMIR mHealth and uHealth 2020;8(5):e15849
    CrossRef
  100. Vasbinder EC, Janssens HM, Rutten-van Mölken MPMH, van Dijk L, de Winter BCM, de Groot RCA, Vulto AG, van den Bemt PMLA. e-Monitoring of Asthma Therapy to Improve Compliance in children using a real-time medication monitoring system (RTMM): the e-MATIC study protocol. BMC Medical Informatics and Decision Making 2013;13(1)
    CrossRef
  101. Schoenberger Y, Phillips J, Mohiuddin MO, McNees P, Scarinci I. Acceptability of Delivering and Accessing Health Information Through Text Messaging Among Community Health Advisors. JMIR mhealth and uhealth 2013;1(2):e22
    CrossRef
  102. Kreps GL, Neuhauser L. New directions in eHealth communication: Opportunities and challenges. Patient Education and Counseling 2010;78(3):329
    CrossRef
  103. Rudolf K, Dejonghe L, Froböse I, Lammer F, Rückel L, Tetz J, Schaller A. Effectiveness Studies in Health Promotion: A Review of the Methodological Quality of Studies Reporting Significant Effects on Physical Activity in Working Age Adults. International Journal of Environmental Research and Public Health 2019;16(5):813
    CrossRef
  104. Mays D, Cremeens J, Usdan S, Martin RJ, Arriola KJ, Bernhardt JM. The feasibility of assessing alcohol use among college students using wireless mobile devices: Implications for health education and behavioural research. Health Education Journal 2010;69(3):311
    CrossRef
  105. Nguyen HQ, Donesky-Cuenco D, Wolpin S, Reinke LF, Benditt JO, Paul SM, Carrieri-Kohlman V. Randomized Controlled Trial of an Internet-Based Versus Face-to-Face Dyspnea Self-Management Program for Patients With Chronic Obstructive Pulmonary Disease: Pilot Study. Journal of Medical Internet Research 2008;10(2):e9
    CrossRef
  106. Yingling LR, Mitchell V, Ayers CR, Peters-Lawrence M, Wallen GR, Brooks AT, Troendle JF, Adu-Brimpong J, Thomas S, Henry J, Saygbe JN, Sampson DM, Johnson AA, Graham AP, Graham LA, Wiley KL, Powell-Wiley T. Adherence with physical activity monitoring wearable devices in a community-based population: observations from the Washington, D.C., Cardiovascular Health and Needs Assessment. Translational Behavioral Medicine 2017;7(4):719
    CrossRef
  107. Lobelo F, Kelli HM, Tejedor SC, Pratt M, McConnell MV, Martin SS, Welk GJ. The Wild Wild West: A Framework to Integrate mHealth Software Applications and Wearables to Support Physical Activity Assessment, Counseling and Interventions for Cardiovascular Disease Risk Reduction. Progress in Cardiovascular Diseases 2016;58(6):584
    CrossRef
  108. Patrick K, Raab F, Adams MA, Dillon L, Zabinski M, Rock CL, Griswold WG, Norman GJ. A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial. Journal of Medical Internet Research 2009;11(1):e1
    CrossRef
  109. Bohman DM, Mattsson L, Borglin G. Primary healthcare nurses’ experiences of physical activity referrals: an interview study. Primary Health Care Research & Development 2015;16(03):270
    CrossRef
  110. Darlow S, Wen K. Development testing of mobile health interventions for cancer patient self-management: A review. Health Informatics Journal 2016;22(3):633
    CrossRef
  111. Soltani H, Furness PJ, Arden MA, McSeveny K, Garland C, Sustar H, Dearden A. Women's and Midwives' Perspectives on the Design of a Text Messaging Support for Maternal Obesity Services: An Exploratory Study. Journal of Obesity 2012;2012:1
    CrossRef
  112. Lau EY, Lau PW, Chung P, Ransdell LB, Archer E. Evaluation of an Internet–Short Message Service–Based Intervention for Promoting Physical Activity in Hong Kong Chinese Adolescent School Children: A Pilot Study. Cyberpsychology, Behavior, and Social Networking 2012;15(8):425
    CrossRef
  113. Power JM, Bersamin A. A Text Messaging Intervention (Txt4HappyKids) to Promote Fruit and Vegetable Intake Among Families With Young Children: Pilot Study. JMIR Formative Research 2018;2(2):e13
    CrossRef
  114. Carfora V, Caso D, Conner M. Randomised controlled trial of a text messaging intervention for reducing processed meat consumption: The mediating roles of anticipated regret and intention. Appetite 2017;117:152
    CrossRef
  115. Blackman KC, Zoellner J, Berrey LM, Alexander R, Fanning J, Hill JL, Estabrooks PA. Assessing the Internal and External Validity of Mobile Health Physical Activity Promotion Interventions: A Systematic Literature Review Using the RE-AIM Framework. Journal of Medical Internet Research 2013;15(10):e224
    CrossRef
  116. . Addressing the treatment gap: A key challenge for extending evidence-based psychosocial interventions. Behaviour Research and Therapy 2017;88:7
    CrossRef
  117. Bacigalupo R, Cudd P, Littlewood C, Bissell P, Hawley MS, Buckley Woods H. Interventions employing mobile technology for overweight and obesity: an early systematic review of randomized controlled trials. Obesity Reviews 2013;14(4):279
    CrossRef
  118. Tate EB, Spruijt-Metz D, O’Reilly G, Jordan-Marsh M, Gotsis M, Pentz MA, Dunton GF. mHealth approaches to child obesity prevention: successes, unique challenges, and next directions. Translational Behavioral Medicine 2013;3(4):406
    CrossRef
  119. Kazdin AE, Fitzsimmons‐Craft EE, Wilfley DE. Addressing critical gaps in the treatment of eating disorders. International Journal of Eating Disorders 2017;50(3):170
    CrossRef
  120. Evans W, Nielsen PE, Szekely DR, Bihm JW, Murray EA, Snider J, Abroms LC. Dose-Response Effects of the Text4baby Mobile Health Program: Randomized Controlled Trial. JMIR mHealth and uHealth 2015;3(1):e12
    CrossRef
  121. Soureti A, Murray P, Cobain M, van Mechelen W, Hurling R. Web-Based Risk Communication and Planning in an Obese Population: Exploratory Study. Journal of Medical Internet Research 2011;13(4):e100
    CrossRef
  122. Redfern J, Thiagalingam A, Jan S, Whittaker R, Hackett M, Mooney J, Keizer LD, Hillis G, Chow C. Development of a set of mobile phone text messages designed for prevention of recurrent cardiovascular events. European Journal of Preventive Cardiology 2014;21(4):492
    CrossRef
  123. Carter MC, Burley VJ, Nykjaer C, Cade JE. Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(4):e32
    CrossRef
  124. Persoskie A, Kaufman AR, Leyva B. Receiving and Adhering to Lifestyle Modification Counseling for Hypertension: Disparities Between Smokers and Nonsmokers. The Journal of Clinical Hypertension 2014;16(6):429
    CrossRef
  125. Takemoto M, Lewars B, Hurst S, Crist K, Nebeker C, Madanat H, Nichols J, Rosenberg DE, Kerr J. Participants’ Perceptions on the Use of Wearable Devices to Reduce Sitting Time: Qualitative Analysis. JMIR mHealth and uHealth 2018;6(3):e73
    CrossRef
  126. Kaptein M, De Ruyter B, Markopoulos P, Aarts E. Adaptive Persuasive Systems. ACM Transactions on Interactive Intelligent Systems 2012;2(2):1
    CrossRef
  127. Monroe CM, Bassett DR, Fitzhugh EC, Raynor HA, Thompson DL. Effect of Adding Online Social Support Tools to an Adult Walking Program. Health Promotion Practice 2017;18(1):84
    CrossRef
  128. Huang J, Lin Y, Wu N. The effectiveness of telemedicine on body mass index: A systematic review and meta-analysis. Journal of Telemedicine and Telecare 2019;25(7):389
    CrossRef
  129. Baek M, Koo BK, Kim BJ, Hong K, Kim J, Yoo S, Hwang H, Seo J, Kim D, Shin K. Development and Utilization of a Patient-Oriented Outpatient Guidance System. Healthcare Informatics Research 2016;22(3):172
    CrossRef
  130. Posadzki P, Mastellos N, Ryan R, Gunn LH, Felix LM, Pappas Y, Gagnon M, Julious SA, Xiang L, Oldenburg B, Car J. Automated telephone communication systems for preventive healthcare and management of long-term conditions. Cochrane Database of Systematic Reviews 2016;2016(12)
    CrossRef
  131. Gallegos D, Russell-Bennett R, Previte J, Parkinson J. Can a text message a week improve breastfeeding?. BMC Pregnancy and Childbirth 2014;14(1)
    CrossRef
  132. KATAYAMA Y, HARADA K, NAKAMURA Y. Effect of Leisure Activity-related Information on Motivational Readiness in Exercise Behavior. Journal of Japan Society of Sports Industry 2011;21(1):27
    CrossRef
  133. Bälter O, Fondell E, Bälter K. Feedback in web-based questionnaires as incentive to increase compliance in studies on lifestyle factors. Public Health Nutrition 2012;15(6):982
    CrossRef
  134. Turner-McGrievy G, Tate D. Tweets, Apps, and Pods: Results of the 6-Month Mobile Pounds Off Digitally (Mobile POD) Randomized Weight-Loss Intervention Among Adults. Journal of Medical Internet Research 2011;13(4):e120
    CrossRef
  135. . How do online communities matter? Comparison between active and non-active participants in an online behavioral weight loss program. Computers in Human Behavior 2016;63:787
    CrossRef
  136. Syrjala KL, Crouch M, Leisenring WM, Flowers ME, Artherholt SB, Fiscalini AS, Romano E, Romano JM, Martin PJ, Yi JC. Engagement with INSPIRE, an Online Program for Hematopoietic Cell Transplantation Survivors. Biology of Blood and Marrow Transplantation 2018;24(8):1692
    CrossRef
  137. Pressler A, Knebel U, Esch S, Kölbl D, Esefeld K, Scherr J, Haller B, Schmidt-Trucksäss A, Krcmar H, Halle M, Leimeister JM. An internet-delivered exercise intervention for workplace health promotion in overweight sedentary employees: A randomized trial. Preventive Medicine 2010;51(3-4):234
    CrossRef
  138. Al Ayubi SU, Parmanto B, Branch R, Ding D. A Persuasive and Social mHealth Application for Physical Activity: A Usability and Feasibility Study. JMIR mHealth and uHealth 2014;2(2):e25
    CrossRef
  139. Long H, Bartlett YK, Farmer AJ, French DP. Identifying Brief Message Content for Interventions Delivered via Mobile Devices to Improve Medication Adherence in People With Type 2 Diabetes Mellitus: A Rapid Systematic Review. Journal of Medical Internet Research 2019;21(1):e10421
    CrossRef
  140. Mattila E, Orsama A, Ahtinen A, Hopsu L, Leino T, Korhonen I. Personal Health Technologies in Employee Health Promotion: Usage Activity, Usefulness, and Health-Related Outcomes in a 1-Year Randomized Controlled Trial. JMIR mhealth and uhealth 2013;1(2):e16
    CrossRef
  141. Filion AJ, Darlington G, Chaput J, Ybarra M, Haines J. Examining the influence of a text message-based sleep and physical activity intervention among young adult smokers in the United States. BMC Public Health 2015;15(1)
    CrossRef
  142. . Integrating Cell Phones and Mobile Technologies Into Public Health Practice: A Social Marketing Perspective. Health Promotion Practice 2009;10(4):490
    CrossRef
  143. Carter MC, Burley VJ, Cade JE. Handheld Electronic Technology for Weight Loss in Overweight/Obese Adults. Current Obesity Reports 2014;3(3):307
    CrossRef
  144. 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
  145. Saunders DR, Holt CL, Whitehead TL, Atkinson NL, Le D, Wang MQ, Slade JL, Muwwakkil B, Williams R, Schulz E, Naslund M. Development of the Men's Prostate Awareness Church Training. Family & Community Health 2013;36(3):224
    CrossRef
  146. . APN telephone follow up to low‐income first time mothers. Journal of Clinical Nursing 2013;22(1-2):262
    CrossRef
  147. Proudfoot J, Parker G, Hadzi Pavlovic D, Manicavasagar V, Adler E, Whitton A. Community Attitudes to the Appropriation of Mobile Phones for Monitoring and Managing Depression, Anxiety, and Stress. Journal of Medical Internet Research 2010;12(5):e64
    CrossRef
  148. Al Dahdah M, Desgrées Du Loû A, Méadel C. Mobile health and maternal care: A winning combination for healthcare in the developing world?. Health Policy and Technology 2015;4(3):225
    CrossRef
  149. Joseph RP, Durant NH, Benitez TJ, Pekmezi DW. Internet-Based Physical Activity Interventions. American Journal of Lifestyle Medicine 2014;8(1):42
    CrossRef
  150. Vodopivec-Jamsek V, de Jongh T, Gurol-Urganci I, Atun R, Car J. Mobile phone messaging for preventive health care. Cochrane Database of Systematic Reviews 2012;
    CrossRef
  151. Kinnafick F, Thøgersen-Ntoumani C, Duda J. The effect of need supportive text messages on motivation and physical activity behaviour. Journal of Behavioral Medicine 2016;39(4):574
    CrossRef
  152. Feter N, dos Santos TS, Caputo EL, da Silva MC. What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis. International Journal of Public Health 2019;64(5):679
    CrossRef
  153. Redfern J, Enright G, Raadsma S, Allman-Farinelli M, Innes-Hughes C, Khanal S, Lukeis S, Rissel C, Gyani A. Effectiveness of a behavioral incentive scheme linked to goal achievement: study protocol for a randomized controlled trial. Trials 2016;17(1)
    CrossRef
  154. . Tracking Myself: Assessing the Contribution of Mobile Technologies for Self-Trackers of Weight, Diet, or Exercise. Journal of Health Communication 2016;21(6):638
    CrossRef
  155. Turk MW, Elci OU, Wang J, Sereika SM, Ewing LJ, Acharya SD, Glanz K, Burke LE. Self-Monitoring as a Mediator of Weight Loss in the SMART Randomized Clinical Trial. International Journal of Behavioral Medicine 2013;20(4):556
    CrossRef
  156. Chow CK, Ariyarathna N, Islam SMS, Thiagalingam A, Redfern J. mHealth in Cardiovascular Health Care. Heart, Lung and Circulation 2016;25(8):802
    CrossRef
  157. Kollmann A, Riedl M, Kastner P, Schreier G, Ludvik B. Feasibility of a Mobile Phone–Based Data Service for Functional Insulin Treatment of Type 1 Diabetes Mellitus Patients. Journal of Medical Internet Research 2007;9(5):e36
    CrossRef
  158. Sypes EE, Newton G, Lewis ZH. Investigating the Use of an Electronic Activity Monitor System as a Component of Physical Activity and Weight-Loss Interventions in Nonclinical Populations: A Systematic Review. Journal of Physical Activity and Health 2019;16(4):294
    CrossRef
  159. Fanning J, Roberts S, Hillman CH, Mullen SP, Ritterband L, McAuley E. A smartphone “app”-delivered randomized factorial trial targeting physical activity in adults. Journal of Behavioral Medicine 2017;40(5):712
    CrossRef
  160. Lee JA, Lustria MLA. Measuring effects of web‐based, tailored health intervention programs for nutrition and physical activity on clinical outcomes: A systemic review. Proceedings of the American Society for Information Science and Technology 2009;46(1):1
    CrossRef
  161. Maon S, Edirippulige S, Ware R, Batch J. The use of web-based interventions to prevent excessive weight gain. Journal of Telemedicine and Telecare 2012;18(1):37
    CrossRef
  162. Hebden L, Cook A, van der Ploeg HP, King L, Bauman A, Allman‐Farinelli M. A mobile health intervention for weight management among young adults: a pilot randomised controlled trial. Journal of Human Nutrition and Dietetics 2014;27(4):322
    CrossRef
  163. Beall RF, Baskerville N, Golfam M, Saeed S, Little J. Modes of delivery in preventive intervention studies: a rapid review. European Journal of Clinical Investigation 2014;44(7):688
    CrossRef
  164. Brouwer W, Kroeze W, Crutzen R, de Nooijer J, de Vries NK, Brug J, Oenema A. Which Intervention Characteristics are Related to More Exposure to Internet-Delivered Healthy Lifestyle Promotion Interventions? A Systematic Review. Journal of Medical Internet Research 2011;13(1):e2
    CrossRef
  165. Bexelius C, Löf M, Sandin S, Trolle Lagerros Y, Forsum E, Litton J. Measures of Physical Activity Using Cell Phones: Validation Using Criterion Methods. Journal of Medical Internet Research 2010;12(1):e2
    CrossRef
  166. Davies C, Corry K, Van Itallie A, Vandelanotte C, Caperchione C, Mummery WK. Prospective Associations Between Intervention Components and Website Engagement in a Publicly Available Physical Activity Website: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2012;14(1):e4
    CrossRef
  167. . Technology-Based Interventions and Reducing the Burdens of Mental Illness: Perspectives and Comments on the Special Series. Cognitive and Behavioral Practice 2015;22(3):359
    CrossRef
  168. Holtz B, Krein SL, Bentley DR, Hughes ME, Giardino ND, Richardson CR. Comparison of Veteran experiences of low-cost, home-based diet and exercise interventions. Journal of Rehabilitation Research and Development 2014;51(1):149
    CrossRef
  169. Resnicow K, Harris D, Wasserman R, Schwartz RP, Perez-Rosas V, Mihalcea R, Snetselaar L. Advances in Motivational Interviewing for Pediatric Obesity. Pediatric Clinics of North America 2016;63(3):539
    CrossRef
  170. Khodabandeh F, Mirghafourvand M, KamaliFard M, Mohammad-Alizadeh-Charandabi S, Asghari Jafarabadi M. Effect of educational package on lifestyle of primiparous mothers during postpartum period: a randomized controlled clinical trial. Health Education Research 2017;32(5):399
    CrossRef
  171. Cherubini M, Villalobos-Zuñiga G, Boldi M, Bonazzi R. The Unexpected Downside of Paying or Sending Messages to People to Make Them Walk. ACM Transactions on Computer-Human Interaction 2020;27(2):1
    CrossRef
  172. . Mobile technology and forgotten consumers: the young‐elderly. International Journal of Consumer Studies 2015;39(4):294
    CrossRef
  173. Ciccolo JT, Lewis B, Marcus B. Internet-based physical activity interventions. Current Cardiovascular Risk Reports 2008;2(4):299
    CrossRef
  174. LaPlante C, Peng W. A Systematic Review of e-Health Interventions for Physical Activity: An Analysis of Study Design, Intervention Characteristics, and Outcomes. Telemedicine and e-Health 2011;17(7):509
    CrossRef
  175. Thakkar J, Redfern J, Thiagalingam A, Chow CK. Patterns, predictors and effects of texting intervention on physical activity in CHD – insights from the TEXT ME randomized clinical trial. European Journal of Preventive Cardiology 2016;23(17):1894
    CrossRef
  176. Anaman-Torgbor JA, Correa-Velez I, King J. Potential mHealth Tool for Promoting Cervical Screening: the Views of Refugee and Non-Refugee African-Born Women Living in Brisbane, Australia. Journal of Technology in Behavioral Science 2017;2(3-4):156
    CrossRef
  177. De Cocker K, Spittaels H, Cardon G, De Bourdeaudhuij I, Vandelanotte C. Web-Based, Computer-Tailored, Pedometer-Based Physical Activity Advice: Development, Dissemination Through General Practice, Acceptability, and Preliminary Efficacy in a Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(2):e53
    CrossRef
  178. . Effectiveness of Lifestyle Physical Activity Interventions to Reduce Cardiovascular Disease. American Journal of Lifestyle Medicine 2009;3(1_suppl):11S
    CrossRef
  179. Marsaux CF, Celis-Morales C, Fallaize R, Macready AL, Kolossa S, Woolhead C, O'Donovan CB, Forster H, Navas-Carretero S, San-Cristobal R, Lambrinou C, Moschonis G, Surwillo A, Godlewska M, Goris A, Hoonhout J, Drevon CA, Manios Y, Traczyk I, Walsh MC, Gibney ER, Brennan L, Martinez JA, Lovegrove JA, Gibney MJ, Daniel H, Mathers JC, Saris WH. Effects of a Web-Based Personalized Intervention on Physical Activity in European Adults: A Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(10):e231
    CrossRef
  180. Ritterband LM, Thorndike FP, Cox DJ, Kovatchev BP, Gonder-Frederick LA. A Behavior Change Model for Internet Interventions. Annals of Behavioral Medicine 2009;38(1):18
    CrossRef
  181. Waller K, Furber S, Bauman A, Allman-Farinelli M, van den Dolder P, Hayes A, Facci F, Franco L, Webb A, Moses R, Colagiuri S. DTEXT – text messaging intervention to improve outcomes of people with type 2 diabetes: protocol for randomised controlled trial and cost-effectiveness analysis. BMC Public Health 2019;19(1)
    CrossRef
  182. Paw MJMCA, Slootmaker SM, van Mechelen W, Schuit AJ, Seidell JC. Haalbaarheid en effectiviteit van een online beweegadvies. Huisarts en wetenschap 2010;53(11):595
    CrossRef
  183. Harte R, Glynn L, Broderick B, Rodriguez-Molinero A, Baker P, McGuiness B, O'Sullivan L, Diaz M, Quinlan L, ÓLaighin G. Human Centred Design Considerations for Connected Health Devices for the Older Adult. Journal of Personalized Medicine 2014;4(2):245
    CrossRef
  184. Abrams TE, Lloyd AA, Elzey LE, Hickerson WL. The Bridge: A mobile application for burn patients. Burns 2019;45(3):699
    CrossRef
  185. Kaplan RM, Stone AA. Bringing the Laboratory and Clinic to the Community: Mobile Technologies for Health Promotion and Disease Prevention. Annual Review of Psychology 2013;64(1):471
    CrossRef
  186. Webb TL, Joseph J, Yardley L, Michie S. Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy. Journal of Medical Internet Research 2010;12(1):e4
    CrossRef
  187. Thorsteinsen K, Vittersø J, Svendsen GB. Increasing Physical Activity Efficiently: An Experimental Pilot Study of a Website and Mobile Phone Intervention. International Journal of Telemedicine and Applications 2014;2014:1
    CrossRef
  188. Melnyk J, Panza G, Zaleski A, Taylor B. Awareness and Knowledge of Cardiovascular Risk Through Blood Pressure and Cholesterol Testing in College Freshmen. American Journal of Health Education 2015;46(3):138
    CrossRef
  189. Nyman SR, Yardley L. Web-Site-Based Tailored Advice to Promote Strength and Balance Training: An Experimental Evaluation. Journal of Aging and Physical Activity 2009;17(2):210
    CrossRef
  190. McDaniel AM, Schutte DL, Keller LO. Consumer health informatics: From genomics to population health. Nursing Outlook 2008;56(5):216
    CrossRef
  191. Sandrick J, Tracy D, Eliasson A, Roth A, Bartel J, Simko M, Bowman T, Harouse-Bell K, Kashani M, Vernalis M. Effect of a Counseling Session Bolstered by Text Messaging on Self-Selected Health Behaviors in College Students: A Preliminary Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(5):e67
    CrossRef
  192. Yang Y, Wang C, Wang J, Lin C, Yang YC, Wang J, Yang YK, Yang Y. The Effects of an Activity Promotion System on active living in overweight subjects with metabolic abnormalities. Obesity Research & Clinical Practice 2017;11(6):718
    CrossRef
  193. Fanning J, Mullen SP, McAuley E. Increasing Physical Activity With Mobile Devices: A Meta-Analysis. Journal of Medical Internet Research 2012;14(6):e161
    CrossRef
  194. Kim H, Cho J, Yoon K. New Directions in Chronic Disease Management. Endocrinology and Metabolism 2015;30(2):159
    CrossRef
  195. Lustria MLA, Noar SM, Cortese J, Van Stee SK, Glueckauf RL, Lee J. A Meta-Analysis of Web-Delivered Tailored Health Behavior Change Interventions. Journal of Health Communication 2013;18(9):1039
    CrossRef
  196. Nour MM, Chen J, Allman-Farinelli M. Efficacy and External Validity of Electronic and Mobile Phone-Based Interventions Promoting Vegetable Intake in Young Adults: A Systematic Review Protocol. JMIR Research Protocols 2015;4(3):e92
    CrossRef
  197. Durant NH, Joseph RP, Cherrington A, Cuffee Y, Knight B, Lewis D, Allison JJ. Recommendations for a Culturally Relevant Internet-Based Tool to Promote Physical Activity Among Overweight Young African American Women, Alabama, 2010–2011. Preventing Chronic Disease 2014;11
    CrossRef
  198. Kleiboer A, Sorbi M, Mérelle S, Passchier J, Doornen LV. Utility and Preliminary Effects of Online Digital Assistance (ODA) for Behavioral Attack Prevention in Migraine. Telemedicine and e-Health 2009;15(7):682
    CrossRef
  199. . 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study. JMIR Serious Games 2018;6(3):e11631
    CrossRef
  200. Serafica R, Inouye J, Lukkahatai N, Braginsky N, Pacheco M, Daub KF. The Use of Mobile Health to Assist Self-management and Access to Services in a Rural Community. CIN: Computers, Informatics, Nursing 2019;37(2):62
    CrossRef
  201. DeBar LL, Dickerson J, Clarke G, Stevens VJ, Ritenbaugh C, Aickin M. Using a Website to Build Community and Enhance Outcomes in a Group, Multi-Component Intervention Promoting Healthy Diet and Exercise in Adolescents. Journal of Pediatric Psychology 2009;34(5):539
    CrossRef
  202. Stoutenberg M, Stanzilis K, Falcon A. Translation of Lifestyle Modification Programs Focused on Physical Activity and Dietary Habits Delivered in Community Settings. International Journal of Behavioral Medicine 2015;22(3):312
    CrossRef
  203. Breteler MJ, Janssen JH, Spiering W, Kalkman CJ, van Solinge WW, Dohmen DA. Measuring Free-Living Physical Activity With Three Commercially Available Activity Monitors for Telemonitoring Purposes: Validation Study. JMIR Formative Research 2019;3(2):e11489
    CrossRef
  204. Lieber SB, Redberg RF, Blumenthal RS, Gandhi A, Robb KJ, Mora S. A National Interactive Web-Based Physical Activity Intervention in Women, Evaluation of the American Heart Association Choose to Move Program 2006–2007. The American Journal of Cardiology 2012;109(12):1754
    CrossRef
  205. Morrison LG, Yardley L, Powell J, Michie S. What Design Features Are Used in Effective e-Health Interventions? A Review Using Techniques from Critical Interpretive Synthesis. Telemedicine and e-Health 2012;18(2):137
    CrossRef
  206. Stellefson M, Chaney B, Barry AE, Chavarria E, Tennant B, Walsh-Childers K, Sriram P, Zagora J. Web 2.0 Chronic Disease Self-Management for Older Adults: A Systematic Review. Journal of Medical Internet Research 2013;15(2):e35
    CrossRef
  207. van Genugten L, Dusseldorp E, Webb TL, van Empelen P. Which Combinations of Techniques and Modes of Delivery in Internet-Based Interventions Effectively Change Health Behavior? A Meta-Analysis. Journal of Medical Internet Research 2016;18(6):e155
    CrossRef
  208. Bock C, Jarczok MN, Litaker D. Community-based efforts to promote physical activity: A systematic review of interventions considering mode of delivery, study quality and population subgroups. Journal of Science and Medicine in Sport 2014;17(3):276
    CrossRef
  209. Kim H, Lee K, Kim H, Kim JH. Using mobile phones in healthcare management for the elderly. Maturitas 2014;79(4):381
    CrossRef
  210. OKAZAKI K, SHIBATA A, ISHII K, YAKO- SUKETOMO H, KAWAMURA Y, TAKEDA- IMAI F, MORIYA K, OKA K. An Environment-Focused Project for Promoting Walking: The Misato City IC WAIK^|^reg; Project. Journal of Japan Society of Sports Industry 2011;21(2):235
    CrossRef
  211. Le Hello C, Trombert B, Morel A, Chieh A, Brouard B, Boissier C. Performance analysis of walking of 10,000 regular users of a connected activity tracker. JMV-Journal de Médecine Vasculaire 2018;43(4):231
    CrossRef
  212. Graham AL, Jacobs MA, Cohn AM, Cha S, Abroms LC, Papandonatos GD, Whittaker R. Optimising text messaging to improve adherence to web-based smoking cessation treatment: a randomised control trial protocol. BMJ Open 2016;6(3):e010687
    CrossRef
  213. Cooper AJ, Dearnley K, Williams KM, Sharp SJ, van Sluijs EM, Brage S, Sutton S, Griffin SJ. Protocol for Get Moving: a randomised controlled trial to assess the effectiveness of three minimal contact interventions to promote fitness and physical activity in working adults. BMC Public Health 2015;15(1)
    CrossRef
  214. Slootmaker SM, Chinapaw MJM, Schuit AJ, Seidell JC, Van Mechelen W. Feasibility and Effectiveness of Online Physical Activity Advice Based on a Personal Activity Monitor: Randomized Controlled Trial. Journal of Medical Internet Research 2009;11(3):e27
    CrossRef
  215. Wang JB, Cadmus-Bertram LA, Natarajan L, White MM, Madanat H, Nichols JF, Ayala GX, Pierce JP. Wearable Sensor/Device (Fitbit One) and SMS Text-Messaging Prompts to Increase Physical Activity in Overweight and Obese Adults: A Randomized Controlled Trial. Telemedicine and e-Health 2015;21(10):782
    CrossRef
  216. Gold J, Aitken CK, Dixon HG, Lim MSC, Gouillou M, Spelman T, Wakefield M, Hellard ME. A randomised controlled trial using mobile advertising to promote safer sex and sun safety to young people. Health Education Research 2011;26(5):782
    CrossRef
  217. . Bij de ‘PEARLS’Cultuurspecifieke voorlichting bij diabetes mellitus type 2. Huisarts en wetenschap 2010;53(12):687
    CrossRef
  218. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task?. Translational Behavioral Medicine 2011;1(1):53
    CrossRef
  219. Diamantidis CJ, Zuckerman M, Fink W, Hu P, Yang S, Fink JC. Usability of a CKD Educational Website Targeted to Patients and Their Family Members. Clinical Journal of the American Society of Nephrology 2012;7(10):1553
    CrossRef
  220. Elaheebocus SMRA, Weal M, Morrison L, Yardley L. Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review. Journal of Medical Internet Research 2018;20(2):e20
    CrossRef
  221. O'Neill M, Alibhai SM. Home-based exercise for older men on androgen deprivation therapy: Feasible and safe, but effective?. Journal of Geriatric Oncology 2016;7(2):68
    CrossRef
  222. Sullivan JK, Irrgang JJ, Losina E, Safran-Norton C, Collins J, Shrestha S, Selzer F, Bennell K, Bisson L, Chen AT, Dawson CK, Gil AB, Jones MH, Kluczynski MA, Lafferty K, Lange J, Lape EC, Leddy J, Mares AV, Spindler K, Turczyk J, Katz JN. The TeMPO trial (treatment of meniscal tears in osteoarthritis): rationale and design features for a four arm randomized controlled clinical trial. BMC Musculoskeletal Disorders 2018;19(1)
    CrossRef
  223. Cole-Lewis H, Kershaw T. Text Messaging as a Tool for Behavior Change in Disease Prevention and Management. Epidemiologic Reviews 2010;32(1):56
    CrossRef
  224. Dunton GF, Atienza AA. The Need for Time-Intensive Information in Healthful Eating and Physical Activity Research: A Timely Topic. Journal of the American Dietetic Association 2009;109(1):30
    CrossRef
  225. Appelboom G, Taylor BE, Bruce E, Bassile CC, Malakidis C, Yang A, Youngerman B, D'Amico R, Bruce S, Bruyère O, Reginster J, Dumont EP, Connolly Jr ES. Mobile Phone-Connected Wearable Motion Sensors to Assess Postoperative Mobilization. JMIR mHealth and uHealth 2015;3(3):e78
    CrossRef
  226. Hansen AW, Grønbæk M, Helge JW, Severin M, Curtis T, Tolstrup JS. Effect of a Web-Based Intervention to Promote Physical Activity and Improve Health Among Physically Inactive Adults: A Population-Based Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(5):e145
    CrossRef
  227. Wahle F, Bollhalder L, Kowatsch T, Fleisch E. Toward the Design of Evidence-Based Mental Health Information Systems for People With Depression: A Systematic Literature Review and Meta-Analysis. Journal of Medical Internet Research 2017;19(5):e191
    CrossRef
  228. Bexelius C, Merk H, Sandin S, Ekman A, Nyrén O, Kühlmann-Berenzon S, Linde A, Litton J. SMS versus telephone interviews for epidemiological data collection: feasibility study estimating influenza vaccination coverage in the Swedish population. European Journal of Epidemiology 2009;24(2):73
    CrossRef
  229. Kim CS, Park SY, Kang JG, Lee SJ, Ihm SH, Choi MG, Yoo HJ. Insulin Dose Titration System in Diabetes Patients Using a Short Messaging Service Automatically Produced by a Knowledge Matrix. Diabetes Technology & Therapeutics 2010;12(8):663
    CrossRef
  230. Tang MSS, Moore K, McGavigan A, Clark RA, Ganesan AN. Effectiveness of Wearable Trackers on Physical Activity in Healthy Adults: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2020;8(7):e15576
    CrossRef
  231. Mavandadi S, Dimitrov S, Feng S, Yu F, Yu R, Sikora U, Ozcan A. Crowd-sourced BioGames: managing the big data problem for next-generation lab-on-a-chip platforms. Lab on a Chip 2012;12(20):4102
    CrossRef
  232. Slootmaker SM, Chinapaw MJ, Seidell JC, van Mechelen W, Schuit AJ. Accelerometers and Internet for physical activity promotion in youth? Feasibility and effectiveness of a minimal intervention [ISRCTN93896459]. Preventive Medicine 2010;51(1):31
    CrossRef
  233. Muntaner A, Vidal-Conti J, Palou P. Increasing physical activity through mobile device interventions: A systematic review. Health Informatics Journal 2016;22(3):451
    CrossRef
  234. Yang F, Wang Y, Yang C, Hu H, Xiong Z. Mobile health applications in self-management of patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis of their efficacy. BMC Pulmonary Medicine 2018;18(1)
    CrossRef
  235. . Using Social Media for Social Good – A Conceptual Overview. SSRN Electronic Journal 2010;
    CrossRef
  236. Watson A, Bickmore T, Cange A, Kulshreshtha A, Kvedar J. An Internet-Based Virtual Coach to Promote Physical Activity Adherence in Overweight Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2012;14(1):e1
    CrossRef
  237. Kong G, Ells DM, Camenga DR, Krishnan-Sarin S. Text messaging-based smoking cessation intervention: A narrative review. Addictive Behaviors 2014;39(5):907
    CrossRef
  238. Buchholz SW, Wilbur J, Ingram D, Fogg L. Physical Activity Text Messaging Interventions in Adults: A Systematic Review. Worldviews on Evidence-Based Nursing 2013;10(3):163
    CrossRef
  239. Waterlander W, Whittaker R, McRobbie H, Dorey E, Ball K, Maddison R, Myers Smith K, Crawford D, Jiang Y, Gu Y, Michie J, Ni Mhurchu C. Development of an Evidence-Based mHealth Weight Management Program Using a Formative Research Process. JMIR mhealth and uhealth 2014;2(3):e18
    CrossRef
  240. Kosma M, Buchanan DR. “Connect,” Log It, Track It, Go!Techne—Not Technology—and Embodiment to AchievePhronesisin Exercise Promotion. Quest 2018;70(1):100
    CrossRef
  241. Krishna S, Boren SA, Balas EA. Healthcare via Cell Phones: A Systematic Review. Telemedicine and e-Health 2009;15(3):231
    CrossRef
  242. . Innovation in practice: mobile phone technology in patient care. British Journal of Community Nursing 2008;13(4):160
    CrossRef
  243. Brabyn S, Adamson J, MacPherson H, Tilbrook H, Torgerson DJ. Short message service text messaging was feasible as a tool for data collection in a trial of treatment for irritable bowel syndrome. Journal of Clinical Epidemiology 2014;67(9):993
    CrossRef
  244. Ferrara CM, Ackerson LK, Krieger R, Fahey A, Maloof E, Marley S, Moran C, Simone K. Feasibility of a social networking site to promote physical activity in adults. International Journal of Health Promotion and Education 2015;53(2):58
    CrossRef
  245. Yuan MJ, Hébert ET, Johnson RK, Long J, Vandewater EA, Vickers AJ. A Personalized Automated Messaging System to Improve Adherence to Prostate Cancer Screening: Research Protocol. JMIR Research Protocols 2012;1(2):e20
    CrossRef
  246. Kerr DA, Pollard CM, Howat P, Delp EJ, Pickering M, Kerr KR, Dhaliwal SS, Pratt IS, Wright J, Boushey CJ. Connecting Health and Technology (CHAT): protocol of a randomized controlled trial to improve nutrition behaviours using mobile devices and tailored text messaging in young adults. BMC Public Health 2012;12(1)
    CrossRef
  247. Lewis ZH, Ottenbacher KJ, Fisher SR, Jennings K, Brown AF, Swartz MC, Martinez E, Lyons EJ. The feasibility and RE-AIM evaluation of the TAME health pilot study. International Journal of Behavioral Nutrition and Physical Activity 2017;14(1)
    CrossRef
  248. Broekhuizen K, Kroeze W, van Poppel MN, Oenema A, Brug J. A Systematic Review of Randomized Controlled Trials on the Effectiveness of Computer-Tailored Physical Activity and Dietary Behavior Promotion Programs: an Update. Annals of Behavioral Medicine 2012;44(2):259
    CrossRef
  249. Lewis B, Williams D, Dunsiger S, Sciamanna C, Whiteley J, Napolitano M, Bock B, Jakicic J, Getz M, Marcus B. User attitudes towards physical activity websites in a randomized controlled trial. Preventive Medicine 2008;47(5):508
    CrossRef
  250. Prapavessis H, De Jesus S, Fitzgeorge L, Faulkner G, Maddison R, Batten S. Exercise to Enhance Smoking Cessation: the Getting Physical on Cigarette Randomized Control Trial. Annals of Behavioral Medicine 2016;50(3):358
    CrossRef
  251. Arteaga SM, González VM, Kurniawan S, Benavides RA. Mobile games and design requirements to increase teenagers’ physical activity. Pervasive and Mobile Computing 2012;8(6):900
    CrossRef
  252. Bui T, King C, Llado A, Lee D, Leong G, Paraparum A, Li I, Scrivener K. App-based supplemental exercise during inpatient orthopaedic rehabilitation increases activity levels: a pilot randomised control trial. Pilot and Feasibility Studies 2019;5(1)
    CrossRef
  253. Neuhauser L, Kreps GL. eHealth communication and behavior change: promise and performance. Social Semiotics 2010;20(1):9
    CrossRef
  254. Gowin M, Cheney M, Gwin S, Franklin Wann T. Health and Fitness App Use in College Students: A Qualitative Study. American Journal of Health Education 2015;46(4):223
    CrossRef
  255. Carfora V, Caso D, Conner M. Correlational study and randomised controlled trial for understanding and changing red meat consumption: The role of eating identities. Social Science & Medicine 2017;175:244
    CrossRef
  256. Redfern J, Santo K, Coorey G, Thakkar J, Hackett M, Thiagalingam A, Chow CK, Daker-White G. Factors Influencing Engagement, Perceived Usefulness and Behavioral Mechanisms Associated with a Text Message Support Program. PLOS ONE 2016;11(10):e0163929
    CrossRef
  257. Ferney SL, Marshall AL, Eakin EG, Owen N. Randomized trial of a neighborhood environment-focused physical activity website intervention. Preventive Medicine 2009;48(2):144
    CrossRef
  258. Guertler D, Vandelanotte C, Kirwan M, Duncan MJ. Engagement and Nonusage Attrition With a Free Physical Activity Promotion Program: The Case of 10,000 Steps Australia. Journal of Medical Internet Research 2015;17(7):e176
    CrossRef
  259. Antoine Parker C, Ellis R. Effect of Electronic Messaging on Physical Activity Participation among Older Adults. Journal of Aging Research 2016;2016:1
    CrossRef
  260. Hurling R, De Boni M, Richardson A. The Benefits of (Automated) Dialogue. International Journal of Technology and Human Interaction 2009;5(4):60
    CrossRef
  261. Anderson-Bill ES, Winett RA, Wojcik JR, Winett SG. Web-Based Guide to Health: Relationship of Theoretical Variables to Change in Physical Activity, Nutrition and Weight at 16-Months. Journal of Medical Internet Research 2011;13(1):e27
    CrossRef
  262. Fukuoka Y, Komatsu J, Suarez L, Vittinghoff E, Haskell W, Noorishad T, Pham K. The mPED randomized controlled clinical trial: applying mobile persuasive technologies to increase physical activity in sedentary women protocol. BMC Public Health 2011;11(1)
    CrossRef
  263. Sawesi S, Rashrash M, Phalakornkule K, Carpenter JS, Jones JF. The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature. JMIR Medical Informatics 2016;4(1):e1
    CrossRef
  264. Khaylis A, Yiaslas T, Bergstrom J, Gore-Felton C. A Review of Efficacious Technology-Based Weight-Loss Interventions: Five Key Components. Telemedicine and e-Health 2010;16(9):931
    CrossRef
  265. Win KT, Roberts MRH, Oinas-Kukkonen H. Persuasive system features in computer-mediated lifestyle modification interventions for physical activity. Informatics for Health and Social Care 2019;44(4):376
    CrossRef
  266. Mo D, Luo R, Liu C, Zhang H, Zhang L, Medina A, Rozelle S. Text Messaging and its Impacts on the Health and Education of the Poor: Evidence from a Field Experiment in Rural China. World Development 2014;64:766
    CrossRef
  267. Yang Q, Van Stee SK. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244
    CrossRef
  268. Rubrichi S, Battistotti A, Quaglini S. Patients’ involvement in e-health services quality assessment: A system for the automatic interpretation of SMS-based patients’ feedback. Journal of Biomedical Informatics 2014;51:41
    CrossRef
  269. Huberty J, Rowedder L, Hekler E, Adams M, Hanigan E, McClain D, Balluff M, Buman M, Bushar J. Development and design of an intervention to improve physical activity in pregnant women using Text4baby. Translational Behavioral Medicine 2016;6(2):285
    CrossRef
  270. Lei L, Zeng E. Research on the Relationship Between Perceived Social Support and Exercise Behavior of User in Social Network. IEEE Access 2020;8:75630
    CrossRef
  271. Mudanyali O, Dimitrov S, Sikora U, Padmanabhan S, Navruz I, Ozcan A. Integrated rapid-diagnostic-test reader platform on a cellphone. Lab on a Chip 2012;12(15):2678
    CrossRef
  272. Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth Research: A Decade of Evolution. Journal of Medical Internet Research 2013;15(5):e95
    CrossRef
  273. Lewis BA, Napolitano MA, Buman MP, Williams DM, Nigg CR. Future directions in physical activity intervention research: expanding our focus to sedentary behaviors, technology, and dissemination. Journal of Behavioral Medicine 2017;40(1):112
    CrossRef
  274. Van Blarigan EL, Chan H, Van Loon K, Kenfield SA, Chan JM, Mitchell E, Zhang L, Paciorek A, Joseph G, Laffan A, Atreya CE, Fukuoka Y, Miaskowski C, Meyerhardt JA, Venook AP. Self-monitoring and reminder text messages to increase physical activity in colorectal cancer survivors (Smart Pace): a pilot randomized controlled trial. BMC Cancer 2019;19(1)
    CrossRef
  275. Horner GN, Agboola S, Jethwani K, Tan-McGrory A, Lopez L. Designing Patient-Centered Text Messaging Interventions for Increasing Physical Activity Among Participants With Type 2 Diabetes: Qualitative Results From the Text to Move Intervention. JMIR mHealth and uHealth 2017;5(4):e54
    CrossRef
  276. Win KT, Ramaprasad A, Syn T. Ontological Review of Persuasion Support Systems (PSS) for Health Behavior Change through Physical Activity. Journal of Medical Systems 2019;43(3)
    CrossRef
  277. Suggs S, Blake H, Bardus M, Lloyd S. Effects of text messaging in addition to emails on physical activity among university and college employees in the UK. Journal of Health Services Research & Policy 2013;18(1_suppl):56
    CrossRef
  278. Ganapathy K, Kanwar V, Bhatnagar T, Uthayakumaran N. m-Health: A Critical Analysis of Awareness, Perception, and Attitude of Healthcare Among Providers in Himachal Pradesh, North India. Telemedicine and e-Health 2016;22(8):675
    CrossRef
  279. Diamantidis CJ, Becker S. Health information technology (IT) to improve the care of patients with chronic kidney disease (CKD). BMC Nephrology 2014;15(1)
    CrossRef
  280. Freyne J, Yin J, Brindal E, Hendrie GA, Berkovsky S, Noakes M. Push Notifications in Diet Apps: Influencing Engagement Times and Tasks. International Journal of Human–Computer Interaction 2017;
    CrossRef
  281. Carr LJ, Bartee RT, Dorozynski C, Broomfield JF, Smith ML, Smith DT. Internet-delivered behavior change program increases physical activity and improves cardiometabolic disease risk factors in sedentary adults: Results of a randomized controlled trial. Preventive Medicine 2008;46(5):431
    CrossRef
  282. Whitton AE, Proudfoot J, Clarke J, Birch M, Parker G, Manicavasagar V, Hadzi-Pavlovic D. Breaking Open the Black Box: Isolating the Most Potent Features of a Web and Mobile Phone-Based Intervention for Depression, Anxiety, and Stress. JMIR Mental Health 2015;2(1):e3
    CrossRef
  283. Franklin NC, Arena R. Personalized Weight Management Interventions for Cardiovascular Risk Reduction: A Viable Option for African-American Women. Progress in Cardiovascular Diseases 2016;58(6):595
    CrossRef
  284. Kwok RC, Leung ACM, Hui SS, Wong CC. Virtual trainer system: a tool to increase exercise participation and work productivity. Internet Research 2021;31(3):892
    CrossRef
  285. Song X, Hallensleben C, Zhang W, Jiang Z, Shen H, Gobbens RJJ, Kleij RMJJVD, Chavannes NH, Versluis A. Blended Self-Management Interventions to Reduce Disease Burden in Patients With Chronic Obstructive Pulmonary Disease and Asthma: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(3):e24602
    CrossRef
  286. Fernandez-Aviles D, De Antonio A, Villalba-Mora E. A Systematic Mapping Study on the Use of Motivational Theories in the Design of Motivational Software. IEEE Access 2020;8:176840
    CrossRef
  287. Rubin DS, Rich Severin , Arena R, Bond S. Leveraging technology to move more and sit less. Progress in Cardiovascular Diseases 2021;64:55
    CrossRef
  288. Andreasen SC, Wright TR, Crenshaw JR, Reisman DS, Knarr BA. Relationships of Linear and Non-linear Measurements of Post-stroke Walking Activity and Their Relationship to Weather. Frontiers in Sports and Active Living 2020;2
    CrossRef
  289. Larsen B, Micucci S, Hartman SJ, Ramos G. Feasibility and Acceptability of a Counseling- and mHealth-Based Physical Activity Intervention for Pregnant Women With Diabetes: The Fit for Two Pilot Study. JMIR mHealth and uHealth 2020;8(10):e18915
    CrossRef
  290. Gold J, Lim MSC, Hocking JS, Keogh LA, Spelman T, Hellard ME. Determining the Impact of Text Messaging for Sexual Health Promotion to Young People. Sexually Transmitted Diseases 2011;38(4):247
    CrossRef
  291. Hajna S, Sharp SJ, Cooper AJ, Williams KM, van Sluijs EM, Brage S, Griffin SJ, Sutton S. Effectiveness of Minimal Contact Interventions: An RCT. American Journal of Preventive Medicine 2021;60(3):e111
    CrossRef
  292. Alev K, Kütt A, Viigimaa M. Disclosing Pharmacogenetic Feedback of Caffeine via eHealth Channels, Assessment of the Methods and Effects to Behavior Change: A Pilot Study. Frontiers in Digital Health 2021;2
    CrossRef
  293. McDonough DJ, Su X, Gao Z. Health wearable devices for weight and BMI reduction in individuals with overweight/obesity and chronic comorbidities: systematic review and network meta-analysis. British Journal of Sports Medicine 2021;55(16):917
    CrossRef
  294. Ziaee A, Aghaei N, Saffari M, Zenouz RY, Van Hilvoorde I. Scenarios of Iranians’ participation in leisure time physical activity. Leisure/Loisir 2021;45(4):577
    CrossRef
  295. Zhou C, Li K, Lu Y. Linguistic characteristics and the dissemination of misinformation in social media: The moderating effect of information richness. Information Processing & Management 2021;58(6):102679
    CrossRef
  296. Yao Lin X, Lachman ME. Associations Between Social Media Use, Physical Activity, and Emotional Well-Being From the Midlife in the United States Refresher Daily Diary Study. Journal of Aging and Physical Activity 2022;30(5):778
    CrossRef
  297. Taylor H, Van Rooy D, Bartels L. Digital justice: A rapid evidence assessment of the use of mobile technology for offender behavioural change. Probation Journal 2023;70(1):31
    CrossRef
  298. Avanesova J, Lieldidža-Kolbina J. mHealth and User Interaction Improvement by Personality Traits-Based Personalization. Applied Computer Systems 2022;27(1):55
    CrossRef
  299. Graham-Brown MPM, Smith AC, Greenwood SA. Digital health interventions in chronic kidney disease: levelling the playing field?. Clinical Kidney Journal 2023;16(5):763
    CrossRef
  300. Goulding EH, Schenk AK, Juneja P, MacKay AW, Wade JM, Tecott LH. A robust automated system elucidates mouse home cage behavioral structure. Proceedings of the National Academy of Sciences 2008;105(52):20575
    CrossRef
  301. Curran M, Tierney AC, Collins L, Kennedy L, McDonnell C, Jurascheck AJ, Sheikhi A, Walsh C, Button B, Casserly B, Cahalan R. Steps Ahead: Optimising physical activity in adults with cystic fibrosis: A pilot randomised trial using wearable technology, goal setting and text message feedback. Journal of Cystic Fibrosis 2023;22(3):570
    CrossRef
  302. Raeside R, Spielman K, Maguire S, Mihrshahi S, Steinbeck K, Kang M, Laranjo L, Hyun K, Redfern J, Partridge SR, Hackett ML, Figtree G, Gallagher R, Sim KA, Usherwood T, Hepse C, Skinner J, Champion KE, Gardner LA, Williams K, Castles D. A healthy lifestyle text message intervention for adolescents: protocol for the Health4Me randomized controlled trial. BMC Public Health 2022;22(1)
    CrossRef
  303. Soltero EG, Lopez C, Hernandez E, O'Connor TM, Thompson D. Technology-Based Obesity Prevention Interventions Among Hispanic Adolescents in the United States: Scoping Review. JMIR Pediatrics and Parenting 2022;5(4):e39261
    CrossRef
  304. Roffarello AM, De Russis L. Achieving Digital Wellbeing Through Digital Self-control Tools: A Systematic Review and Meta-analysis. ACM Transactions on Computer-Human Interaction 2023;30(4):1
    CrossRef
  305. Lee D, Frey GC, Cothran DJ, Harezlak J, Shih PC. Effects of a Gamified, Behavior Change Technique–Based Mobile App on Increasing Physical Activity and Reducing Anxiety in Adults With Autism Spectrum Disorder: Feasibility Randomized Controlled Trial. JMIR Formative Research 2022;6(7):e35701
    CrossRef
  306. Newbold JW, Rudnicka A, Cox A. Staying Active While Staying Home: The Use of Physical Activity Technologies During Life Disruptions. Frontiers in Digital Health 2021;3
    CrossRef
  307. Daryabeygi-Khotbehsara R, Shariful Islam SM, Dunstan D, McVicar J, Abdelrazek M, Maddison R. Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review. Journal of Medical Internet Research 2021;23(9):e26315
    CrossRef
  308. Sharifipour F, Javadnoori M, Behboodi Moghadam Z, Najafian M, Cheraghian B, Abbaspoor Z. Interventions to improve social support among postpartum mothers: A systematic review. Health Promotion Perspectives 2022;12(2):141
    CrossRef
  309. Khunti K, Griffin S, Brennan A, Dallosso H, Davies M, Eborall H, Edwardson C, Gray L, Hardeman W, Heathcote L, Henson J, Morton K, Pollard D, Sharp S, Sutton S, Troughton J, Yates T. Behavioural interventions to promote physical activity in a multiethnic population at high risk of diabetes: PROPELS three-arm RCT. Health Technology Assessment 2021;25(77):1
    CrossRef
  310. Chu CH, Nyrup R, Leslie K, Shi J, Bianchi A, Lyn A, McNicholl M, Khan S, Rahimi S, Grenier A, Meeks S. Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults. The Gerontologist 2022;62(7):947
    CrossRef
  311. Larsen B, Greenstadt E, Olesen B, Osuna L, Godino J, Marcus B, Dunsiger S, Meyer D, Zive M. A multiple technology-based physical activity intervention for Latina adolescents in the USA: randomized controlled trial study protocol for Chicas Fuertes. Trials 2022;23(1)
    CrossRef
  312. Larsen RT, Wagner V, Korfitsen CB, Keller C, Juhl CB, Langberg H, Christensen J. Effectiveness of physical activity monitors in adults: systematic review and meta-analysis. BMJ 2022;:e068047
    CrossRef
  313. Park HS, Jeong S, Chung H, Soh JY, Hyun YH, Bang SH, Kim HS. Use of video-based telehealth services using a mobile app for workers in underserved areas during the COVID-19 pandemic: A prospective observational study. International Journal of Medical Informatics 2022;166:104844
    CrossRef
  314. Atukunda EC, Matthews LT, Musiimenta A, Mugyenyi GR, Mugisha S, Ware NC, Obua C, Siedner MJ. mHealth-Based Health Promotion Intervention to Improve Use of Maternity Care Services Among Women in Rural Southwestern Uganda: Iterative Development Study. JMIR Formative Research 2021;5(11):e29214
    CrossRef
  315. Celis-Morales C, Marsaux CF, Livingstone KM, Navas-Carretero S, San-Cristobal R, Fallaize R, Macready AL, O’Donovan C, Woolhead C, Forster H, Kolossa S, Daniel H, Moschonis G, Mavrogianni C, Manios Y, Surwillo A, Traczyk I, Drevon CA, Grimaldi K, Bouwman J, Gibney MJ, Walsh MC, Gibney ER, Brennan L, Lovegrove JA, Martinez JA, Saris WH, Mathers JC. Can genetic-based advice help you lose weight? Findings from the Food4Me European randomized controlled trial1–3. The American Journal of Clinical Nutrition 2017;105(5):1204
    CrossRef
  316. Zhong H, Xu H, Guo E, Li J, Wang Z. Can internet use change sport participation behavior among residents? Evidence from the 2017 Chinese General Social Survey. Frontiers in Public Health 2022;10
    CrossRef
  317. Erfan Y, Pavlyshyn K. THE IMPACT OF GLOBAL TECHNOLOGIES ON THE DEVELOPMENT OF THE GLOBAL HEALTHCARE MARKET. Market Infrastructure 2019;(38)
    CrossRef
  318. Atukunda EC, Siedner MJ, Obua C, Musiimenta A, Ware NC, Mugisha S, Najjuma JN, Mugyenyi GR, Matthews LT. Evaluating the Feasibility, Acceptability, and Preliminary Efficacy of SupportMoms-Uganda, an mHealth-Based Patient-Centered Social Support Intervention to Improve the Use of Maternity Services Among Pregnant Women in Rural Southwestern Uganda: Randomized Controlled Trial. JMIR Formative Research 2023;7:e36619
    CrossRef
  319. Zimmermann S, Schulz T, Hein A, Gewald H, Krcmar H. Motivating change in commuters’ mobility behaviour: Digital nudging for public transportation use. Journal of Decision Systems 2024;33(1):79
    CrossRef
  320. Murray JB, Sharp A, Munro S, Janssen PA. Expectant Parents’ Preferences for Teaching by Texting: Development and Usability Study of SmartMom. JMIR Formative Research 2023;7:e44661
    CrossRef
  321. Royer MF, Wharton C. The FINDING-Food Intervention: A Mixed-Methods Feasibility Study Addressing Food Insecurity. Challenges 2023;14(4):43
    CrossRef
  322. Shams F, Tai AM, Kim J, Boyd M, Meyer M, Kazemi A, Krausz RM. Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression. DIGITAL HEALTH 2023;9
    CrossRef
  323. Domguia EN, Hymette LFN, Nzomo JT, Ngassam SB, Donfouet O. How important is ICT for reducing undernourishment in Africa?. Telematics and Informatics Reports 2023;11:100098
    CrossRef
  324. O'Reilly GA, Belcher BR, Davis JN, Martinez LT, Huh J, Antunez‐Castillo L, Weigensberg M, Goran MI, Spruijt‐Metz D. Effects of high‐sugar and high‐fiber meals on physical activity behaviors in Latino and African American adolescents. Obesity 2015;23(9):1886
    CrossRef
  325. Gopalakrishnan A, Gururajan R, Zhou X, Venkataraman R, Chan KC, Higgins N. A survey of autonomous monitoring systems in mental health. WIREs Data Mining and Knowledge Discovery 2024;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9.2.e7):

  1. Yeager VA, Menachemi N. Biennial Review of Health Care Management. 2011. :235
    CrossRef
  2. Alkiş N, Findik-Coşkunçay D. Current and Emerging mHealth Technologies. 2018. Chapter 2:9
    CrossRef
  3. Olsen E, Kraft P. Persuasive Technology. 2008. Chapter 24:249
    CrossRef
  4. Mansar SL, Kekre S. ENTERprise Information Systems. 2011. Chapter 42:402
    CrossRef
  5. Saheb T, Mehrizi EA. Industrial Engineering in the Big Data Era. 2019. Chapter 35:429
    CrossRef
  6. Miura T, Yabu K, Hiyama A, Inamura N, Hirose M, Ifukube T. Human-Computer Interaction – INTERACT 2015. 2015. Chapter 7:80
    CrossRef
  7. Andreadis II, Nikita KS. Cardiovascular Computing—Methodologies and Clinical Applications. 2019. Chapter 13:261
    CrossRef
  8. Van Stee SK, Yang Q. Technology and Health. 2020. :243
    CrossRef
  9. Hurling R, De Boni M, Richardson A. Sociological and Philosophical Aspects of Human Interaction with Technology. 2011. chapter 13:241
    CrossRef
  10. McAuley E, Mullen SP, Fanning J. Principles and Concepts of Behavioral Medicine. 2018. Chapter 27:807
    CrossRef
  11. Monkman H, Kushniruk AW, Borycki EM. Health Literacy. 2017. chapter 8:156
    CrossRef
  12. Khalili Moghaddam G, Lowe CR. Health and Wellness Measurement Approaches for Mobile Healthcare. 2019. Chapter 2:13
    CrossRef
  13. . Connected Health. 2017. :81
    CrossRef
  14. Jiménez AL, Malavé de León E, Sims G, Hiraldo-Lebrón CM, Small PJ, Kamel Boulos MN. Stigma and Prejudice. 2016. Chapter 16:277
    CrossRef
  15. Suggs LS, Ratzan SC. The Handbook of Global Health Communication. 2012. :251
    CrossRef
  16. . Stress Proof the Heart. 2012. Chapter 16:373
    CrossRef
  17. Vlachopapadopoulou E, Georga EI, Fotiadis DI. Mobile Health Applications for Quality Healthcare Delivery. 2019. chapter 4:72
    CrossRef
  18. Monkman H, Kushniruk A, Borycki E. Social Media and Mobile Technologies for Healthcare. 2014. chapter 16:281
    CrossRef
  19. Kaptein M, Lacroix J, Saini P. Persuasive Technology. 2010. Chapter 11:94
    CrossRef
  20. Lustria MLA, Cortese J. The Wiley Encyclopedia of Health Psychology. 2020. :363
    CrossRef
  21. Kettunen E, Makkonen M, Kari T, Critchley W. Optimizing Health Monitoring Systems With Wireless Technology. 2020. chapter 15:211
    CrossRef
  22. . Obesity and Diabetes. 2020. Chapter 64:865
    CrossRef
  23. Liu H, Hu J. Distributed, Ambient and Pervasive Interactions. Smart Environments, Ecosystems, and Cities. 2022. Chapter 5:59
    CrossRef
  24. Vlachopapadopoulou E, Georga EI, Fotiadis DI. Research Anthology on Pediatric and Adolescent Medicine. 2022. chapter 26:492
    CrossRef
  25. . Handbook of Medical and Health Sciences in Developing Countries. 2023. Chapter 27-1:1
    CrossRef
  26. Pekmezi D, Linke S, Hartman S, Marcus BH. Women's Health Psychology. 2013. :255
    CrossRef