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

Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study

Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study

Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study

Journals

  1. Azevedo A, de Sousa H, Monteiro J, Lima A. Future perspectives of Smartphone applications for rheumatic diseases self-management. Rheumatology International 2015;35(3):419 View
  2. Sullivan R, Marsh S, Halvarsson J, Holdsworth M, Waterlander W, Poelman M, Salmond J, Christian H, Koh L, Cade J, Spence J, Woodward A, Maddison R. Smartphone Apps for Measuring Human Health and Climate Change Co-Benefits: A Comparison and Quality Rating of Available Apps. JMIR mHealth and uHealth 2016;4(4):e135 View
  3. Hilliard M, Hahn A, Ridge A, Eakin M, Riekert K. User Preferences and Design Recommendations for an mHealth App to Promote Cystic Fibrosis Self-Management. JMIR mHealth and uHealth 2014;2(4):e44 View
  4. Park N, Hwang J, Choi Y, Park S, Lee Y. A study on the experience of mHealth based on health belief model: Focus group interview. Korean Journal of Health Education and Promotion 2019;36(3):97 View
  5. Weiner K, Henwood F, Will C, Williams R. Self-Monitoring for Health: Questions for an Emerging Field. SSRN Electronic Journal 2017 View
  6. Alsharif W, Davis M, Rainford L, Cradock A, McGee A. Validation of the educational effectiveness of a mobile learning app to improve knowledge about MR image quality optimisation and artefact reduction. Insights into Imaging 2018;9(5):721 View
  7. Tay W, Kaur B, Quek R, Lim J, Henry C. Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment. Nutrients 2020;12(4):1167 View
  8. Athilingam P, Clochesy J, Labrador M. Intervention Mapping Approach in the Design of an Interactive Mobile Health Application to Improve Self-care in Heart Failure. CIN: Computers, Informatics, Nursing 2018;36(2):90 View
  9. Jimoh F, Lund E, Harvey L, Frost C, Lay W, Roe M, Berry R, Finglas P. Comparing Diet and Exercise Monitoring Using Smartphone App and Paper Diary: A Two-Phase Intervention Study. JMIR mHealth and uHealth 2018;6(1):e17 View
  10. Peng C, He M, Cutrona S, Kiefe C, Liu F, Wang Z. Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis. JMIR mHealth and uHealth 2020;8(7):e18212 View
  11. Hill M, Granado M, Peters R, Markham C, Ross M, Grimes R. A pilot study on the use of a smartphone application to encourage emergency department patients to access preventive services: human papillomavirus vaccine as an example. Emergency Medicine and Health Care 2013;1(1):4 View
  12. Schneider T, Panzera A, Couluris M, Lindenberger J, McDermott R, Bryant C. Engaging Teens with Asthma in Designing a Patient-Centered Mobile App to Aid Disease Self-Management. Telemedicine and e-Health 2016;22(2):170 View
  13. Khazen W, Jeanne J, Demaretz L, Schäfer F, Fagherazzi G. Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research. Journal of Medical Internet Research 2020;22(6):e15619 View
  14. Tang J, James L, Howell M, Tong A, Wong G. eHealth Interventions for Solid Organ Transplant Recipients: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Transplantation 2020;104(8):e224 View
  15. Aljuraiban G. Use of Weight-Management Mobile Phone Apps in Saudi Arabia: A Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12692 View
  16. Masterson K, Leigh K. Using an mHealth Application in a Private Dermatology Practice to Improve Sun Protection Behavior in Adolescents and Young Adults. Journal of the Dermatology Nurses' Association 2015;7(2):76 View
  17. Mann D, Riddell L, Lim K, Byrne L, Nowson C, Rigo M, Szymlek-Gay E, Booth A. Mobile Phone App Aimed at Improving Iron Intake and Bioavailability in Premenopausal Women: A Qualitative Evaluation. JMIR mHealth and uHealth 2015;3(3):e92 View
  18. Jamieson M, Jack R, O’Neill B, Cullen B, Lennon M, Brewster S, Evans J. Technology to encourage meaningful activities following brain injury. Disability and Rehabilitation: Assistive Technology 2020;15(4):453 View
  19. Skar J, Garnweidner-Holme L, Lukasse M, Terragni L. Women's experiences with using a smartphone app (the Pregnant+ app) to manage gestational diabetes mellitus in a randomised controlled trial. Midwifery 2018;58:102 View
  20. Davis S, Peters D, Calvo R, Sawyer S, Foster J, Smith L. A consumer designed smartphone app for young people with asthma: pilot of engagement and acceptability. Journal of Asthma 2021;58(2):253 View
  21. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. A Smartphone App to Promote an Active Lifestyle in Lower-Educated Working Young Adults: Development, Usability, Acceptability, and Feasibility Study. JMIR mHealth and uHealth 2018;6(2):e44 View
  22. Mauch C, Wycherley T, Laws R, Johnson B, Bell L, Golley R. Mobile Apps to Support Healthy Family Food Provision: Systematic Assessment of Popular, Commercially Available Apps. JMIR mHealth and uHealth 2018;6(12):e11867 View
  23. Banerjee P, Mendu V, Korrapati D, Gavaravarapu S. Calorie counting smart phone apps: Effectiveness in nutritional awareness, lifestyle modification and weight management among young Indian adults. Health Informatics Journal 2020;26(2):816 View
  24. Oyibo K, Vassileva J. HOMEX: Persuasive Technology Acceptance Model and the Moderating Effect of Culture. Frontiers in Computer Science 2020;2 View
  25. Carter D, Robinson K, Forbes J, Hayes S, Zeeb H. Experiences of mobile health in promoting physical activity: A qualitative systematic review and meta-ethnography. PLOS ONE 2018;13(12):e0208759 View
  26. Howarth A, Quesada J, Donnelly T, Mills P. The development of ‘Make One Small Change’: an e-health intervention for the workplace developed using the Person-Based Approach. DIGITAL HEALTH 2019;5:205520761985285 View
  27. Rodrigues A, Sniehotta F, Birch-Machin M, Olivier P, Araújo-Soares V. Systematic and Iterative Development of a Smartphone App to Promote Sun-Protection Among Holidaymakers: Design of a Prototype and Results of Usability and Acceptability Testing. JMIR Research Protocols 2017;6(6):e112 View
  28. Cho S, Lee E. Effects of the Smartphone Application “Safe Patients” on Knowledge of Patient Safety Issues Among Surgical Patients. CIN: Computers, Informatics, Nursing 2017;35(12):639 View
  29. Bellfield E, Sharp L, Xia Y, Gerber B. Use of a Mobile App to Facilitate Blood Glucose Monitoring in Adolescents With Type 1 Diabetes: Single-Subject Nonrandomized Clinical Trial. JMIR Diabetes 2018;3(1):e3 View
  30. Roberts C, Sage A, Geryk L, Sleath B, Carpenter D. Adolescent feedback on predisposing, reinforcing and enabling features in asthma self-management apps. Health Education Journal 2019;78(7):770 View
  31. Stephenson A, Garcia-Constantino M, McDonough S, Murphy M, Nugent C, Mair J. Iterative four-phase development of a theory-based digital behaviour change intervention to reduce occupational sedentary behaviour. DIGITAL HEALTH 2020;6:205520762091341 View
  32. McLean A. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302 View
  33. Huberty J, Eckert R, Larkey L, Joeman L, Mesa R. Experiences of Using a Consumer-Based Mobile Meditation App to Improve Fatigue in Myeloproliferative Patients: Qualitative Study. JMIR Cancer 2019;5(2):e14292 View
  34. Arrogi A, Bogaerts A, Seghers J, Devloo K, Vanden Abeele V, Geurts L, Wauters J, Boen F. Evaluation of stAPP: a smartphone-based intervention to reduce prolonged sitting among Belgian adults. Health Promotion International 2019;34(1):16 View
  35. Adu M, Malabu U, Malau-Aduli A, Drovandi A, Malau-Aduli B. User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study. JMIR mHealth and uHealth 2020;8(6):e17802 View
  36. Vincent C, Niezen G, O'Kane A, Stawarz K. Can Standards and Regulations Keep Up With Health Technology?. JMIR mHealth and uHealth 2015;3(2):e64 View
  37. Alwashmi M, Fitzpatrick B, Davis E, Farrell J, Gamble J, Hawboldt J. Features of a mobile health intervention to manage chronic obstructive pulmonary disease: a qualitative study. Therapeutic Advances in Respiratory Disease 2020;14:175346662095104 View
  38. Owensby J, Kavookjian J. Pharmacy students’ perceptions of the usefulness of motivational interviewing and the use of mobile health applications on patient counseling in the future. Currents in Pharmacy Teaching and Learning 2017;9(4):568 View
  39. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271 View
  40. Monney G, Penzenstadler L, Dupraz O, Etter J, Khazaal Y. mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness. Frontiers in Psychiatry 2015;6 View
  41. Santo K, Singleton A, Rogers K, Thiagalingam A, Chalmers J, Chow C, Redfern J. Medication reminder applications to improve adherence in coronary heart disease: a randomised clinical trial. Heart 2019;105(4):323 View
  42. Mummah S, Robinson T, King A, Gardner C, Sutton S. IDEAS (Integrate, Design, Assess, and Share): A Framework and Toolkit of Strategies for the Development of More Effective Digital Interventions to Change Health Behavior. Journal of Medical Internet Research 2016;18(12):e317 View
  43. Koster E, Philbert D, de Vries T, van Dijk L, Bouvy M. “I just forget to take it”: asthma self-management needs and preferences in adolescents. Journal of Asthma 2015;52(8):831 View
  44. Wang Q, Egelandsdal B, Amdam G, Almli V, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33 View
  45. Klassen K, Douglass C, Brennan L, Truby H, Lim M. Social media use for nutrition outcomes in young adults: a mixed-methods systematic review. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1) View
  46. Morrison L, Geraghty A, Lloyd S, Goodman N, Michaelides D, Hargood C, Weal M, Yardley L. Comparing usage of a web and app stress management intervention: An observational study. Internet Interventions 2018;12:74 View
  47. Athilingam P, Osorio R, Kaplan H, Oliver D, O’neachtain T, Rogal P. Embedding Patient Education in Mobile Platform for Patients With Heart Failure. CIN: Computers, Informatics, Nursing 2016;34(2):92 View
  48. Bauer M, Glenn T, Monteith S, Bauer R, Whybrow P, Geddes J. Ethical perspectives on recommending digital technology for patients with mental illness. International Journal of Bipolar Disorders 2017;5(1) View
  49. Zhang L, Nawijn E, Boshuizen H, Ocké M. Evaluation of the Recipe Function in Popular Dietary Smartphone Applications, with Emphasize on Features Relevant for Nutrition Assessment in Large-Scale Studies. Nutrients 2019;11(1):200 View
  50. Zieve G, Richardson L, Katzman K, Spielvogle H, Whitehouse S, McCarty C. Adolescents’ Perspectives on Personalized E-Feedback in the Context of Health Risk Behavior Screening for Primary Care: Qualitative Study. Journal of Medical Internet Research 2017;19(7):e261 View
  51. Direito A, Pfaeffli Dale L, Shields E, Dobson R, Whittaker R, Maddison R. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques?. BMC Public Health 2014;14(1) View
  52. Shim H, Kim Y, Park M. Differences on Satisfaction of Healthcare Applications by Smartphone Users' Characteristics. Journal of the Korea Academia-Industrial cooperation Society 2016;17(7):410 View
  53. Abduo H, Curtain C, Othman N. Use of Smartphone Applications for Diabetes Management in Kuwait: A Pilot Study. Journal of Consumer Health on the Internet 2020;24(2):111 View
  54. Majeed-Ariss R, Baildam E, Campbell M, Chieng A, Fallon D, Hall A, McDonagh J, Stones S, Thomson W, Swallow V. Apps and Adolescents: A Systematic Review of Adolescents’ Use of Mobile Phone and Tablet Apps That Support Personal Management of Their Chronic or Long-Term Physical Conditions. Journal of Medical Internet Research 2015;17(12):e287 View
  55. Zia J, Schroeder J, Munson S, Fogarty J, Nguyen L, Barney P, Heitkemper M, Ladabaum U. Feasibility and Usability Pilot Study of a Novel Irritable Bowel Syndrome Food and Gastrointestinal Symptom Journal Smartphone App. Clinical and Translational Gastroenterology 2016;7(3):e147 View
  56. Ng Y, Alexander S, Frith K. Integration of Mobile Health Applications in Health Information Technology Initiatives. CIN: Computers, Informatics, Nursing 2018;36(5):209 View
  57. McClelland G, Fitzgerald M. A participatory mobile application (app) development project with mental health service users and clinicians. Health Education Journal 2018;77(7):815 View
  58. Jahnel T, Schüz B. Partizipative Entwicklung von Digital-Public-Health-Anwendungen: Spannungsfeld zwischen Nutzer*innenperspektive und Evidenzbasierung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):153 View
  59. Pramana G, Parmanto B, Kendall P, Silk J. The SmartCAT: An m-Health Platform for Ecological Momentary Intervention in Child Anxiety Treatment. Telemedicine and e-Health 2014;20(5):419 View
  60. Ribeiro N, Moreira L, Barros A, Almeida A, Santos-Silva F. Guidelines for a cancer prevention smartphone application: A mixed-methods study. International Journal of Medical Informatics 2016;94:134 View
  61. Sarcona A, Kovacs L, Wright J, Williams C. Differences in Eating Behavior, Physical Activity, and Health-related Lifestyle Choices between Users and Nonusers of Mobile Health Apps. American Journal of Health Education 2017;48(5):298 View
  62. Martin E, Basen-Engquist K, Cox M, Lyons E, Carmack C, Blalock J, Demark-Wahnefried W. Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study. JMIR Cancer 2016;2(1):e1 View
  63. Vaughn J, Jonassaint J, Summers-Goeckerman E, Shaw R, Shah N. Customization of the TRU-PBMT App (Technology Recordings to better Understand Pediatric Blood and Marrow Transplant). Journal of Pediatric Nursing 2018;42:86 View
  64. Petersen J, Prichard I, Kemps E. A Comparison of Physical Activity Mobile Apps With and Without Existing Web-Based Social Networking Platforms: Systematic Review. Journal of Medical Internet Research 2019;21(8):e12687 View
  65. de Korte E, Wiezer N, Bakhuys Roozeboom M, Vink P, Kraaij W. Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment. JMIR mHealth and uHealth 2018;6(10):e167 View
  66. Boushey C, Harray A, Kerr D, Schap T, Paterson S, Aflague T, Bosch Ruiz M, Ahmad Z, Delp E. How Willing Are Adolescents to Record Their Dietary Intake? The Mobile Food Record. JMIR mHealth and uHealth 2015;3(2):e47 View
  67. Morrison L, Hargood C, Pejovic V, Geraghty A, Lloyd S, Goodman N, Michaelides D, Weston A, Musolesi M, Weal M, Yardley L, Li D. The Effect of Timing and Frequency of Push Notifications on Usage of a Smartphone-Based Stress Management Intervention: An Exploratory Trial. PLOS ONE 2017;12(1):e0169162 View
  68. Chen J, Tran A, Nguyen T. Understanding the discontinuance behavior of mobile shoppers as a consequence of technostress: An application of the stress-coping theory. Computers in Human Behavior 2019;95:83 View
  69. Zhou L, Bao J, Watzlaf V, Parmanto B. Barriers to and Facilitators of the Use of Mobile Health Apps From a Security Perspective: Mixed-Methods Study. JMIR mHealth and uHealth 2019;7(4):e11223 View
  70. Fillo J, Staplefoote-Boynton B, Martinez A, Sontag-Padilla L, Shadel W, Martino S, Setodji C, Meeker D, Scharf D. Simplified Novel Application (SNApp) framework: a guide to developing and implementing second-generation mobile applications for behavioral health research. Translational Behavioral Medicine 2016;6(4):587 View
  71. Schick R, Kelsey T, Marston J, Samson K, Humphris G. MapMySmoke: feasibility of a new quit cigarette smoking mobile phone application using integrated geo-positioning technology, and motivational messaging within a primary care setting. Pilot and Feasibility Studies 2018;4(1) View
  72. Pang Y, Molton J, Ooi W, Paton N, He H. Preliminary Effects of a Mobile Interactive Supervised Therapy Intervention on People Living With HIV: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(3):e15702 View
  73. Peters D, Davis S, Calvo R, Sawyer S, Smith L, Foster J. Young People’s Preferences for an Asthma Self-Management App Highlight Psychological Needs: A Participatory Study. Journal of Medical Internet Research 2017;19(4):e113 View
  74. Oh Y, Choi E, Kim Y. Predictors of Smartphone Uses for Health Information Seeking in the Korean Elderly. Social Work in Public Health 2018;33(1):43 View
  75. Alhuwail D, Abduo H, Alqabandi N, Abu-Ghefreh A, Dawwas B, Halawa N. Engagement and Usage Patterns of a Diabetes Education Website Tailored for Arabic Speakers: A Case Study of a Diabetes Website from Kuwait. Journal of Consumer Health on the Internet 2018;22(4):337 View
  76. Holdener M, Gut A, Angerer A. Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(1):e13244 View
  77. Brown H, Bucher T, Collins C, Rollo M. A review of pregnancy iPhone apps assessing their quality, inclusion of behaviour change techniques, and nutrition information. Maternal & Child Nutrition 2019;15(3) View
  78. Phillips J, Ogeil R. Decision-making style, nicotine and caffeine use and dependence. Human Psychopharmacology: Clinical and Experimental 2015;30(6):442 View
  79. Fitzgerald M, McClelland T. What makes a mobile app successful in supporting health behaviour change?. Health Education Journal 2017;76(3):373 View
  80. Qan'ir Y, Song L. Systematic review of technology‐based interventions to improve anxiety, depression, and health‐related quality of life among patients with prostate cancer. Psycho-Oncology 2019;28(8):1601 View
  81. Ryding F, Kuss D. Passive objective measures in the assessment of problematic smartphone use: A systematic review. Addictive Behaviors Reports 2020;11:100257 View
  82. Daifi C, Bahrami S, Kaakeh R, Kaakeh Y. Evolving Frontier. Journal of Pharmacy Technology 2016;32(3):91 View
  83. Haddad H, de Nazelle A. The role of personal air pollution sensors and smartphone technology in changing travel behaviour. Journal of Transport & Health 2018;11:230 View
  84. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  85. van Beurden S, Simmons S, Tang J, Mewse A, Abraham C, Greaves C. Informing the development of online weight management interventions: a qualitative investigation of primary care patient perceptions. BMC Obesity 2018;5(1) View
  86. Dodd J, Louise J, Cramp C, Grivell R, Moran L, Deussen A. Evaluation of a smartphone nutrition and physical activity application to provide lifestyle advice to pregnant women: The SNAPP randomised trial. Maternal & Child Nutrition 2018;14(1):e12502 View
  87. Chen J, Cade J, Allman-Farinelli M. The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment. JMIR mHealth and uHealth 2015;3(4):e104 View
  88. Huby K, Swallow V, Smith T, Carolan I. Children and young people's views on access to a web-based application to support personal management of long-term conditions: a qualitative study. Child: Care, Health and Development 2017;43(1):126 View
  89. Hu Y, Long X, Lyu H, Zhou Y, Chen J. Alterations in White Matter Integrity in Young Adults with Smartphone Dependence. Frontiers in Human Neuroscience 2017;11 View
  90. Pham Q, Graham G, Carrion C, Morita P, Seto E, Stinson J, Cafazzo J. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941 View
  91. Nasir S, Goto R, Kitamura A, Alafeef S, Ballout G, Hababeh M, Kiriya J, Seita A, Jimba M. Dissemination and implementation of thee-MCHHandbook, UNRWA’s newly released maternal and child health mobile application: a cross-sectional study. BMJ Open 2020;10(3):e034885 View
  92. White B, Martin A, White J, Burns S, Maycock B, Giglia R, Scott J. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81 View
  93. García B, Welford J, Smith B. Using a smartphone app in qualitative research: the good, the bad and the ugly. Qualitative Research 2016;16(5):508 View
  94. Alwashmi M, Fitzpatrick B, Davis E, Gamble J, Farrell J, Hawboldt J. Perceptions of Health Care Providers Regarding a Mobile Health Intervention to Manage Chronic Obstructive Pulmonary Disease: Qualitative Study. JMIR mHealth and uHealth 2019;7(6):e13950 View
  95. Ali R, Zhang Z, Soomro M. Smoking-Cessation Acceptance Via Mobile Health and Quick Response Code Technologies: Empirical Evidence of a Pilot Study from China and Pakistan. Current Psychology 2019 View
  96. Smyth H, Colthorpe P, George M, Jansen P, Fuglsang A, Armstrong K, Lyapustina S. Highlights from the 2017 IPAC-RS/ISAM Joint Workshop “New Frontiers in Inhalation Technology”. Journal of Aerosol Medicine and Pulmonary Drug Delivery 2018;31(4):199 View
  97. Buchan K, Morgan H. Using the Onitor® Track for weight loss: A mixed methods study among overweight and obese women. Health Informatics Journal 2020;26(3):1841 View
  98. Velu A, van Beukering M, Schaafsma F, Frings-Dresen M, Mol B, van der Post J, Kok M. Barriers and Facilitators for the Use of a Medical Mobile App to Prevent Work-Related Risks in Pregnancy: A Qualitative Analysis. JMIR Research Protocols 2017;6(8):e163 View
  99. Taki S, Russell C, Lymer S, Laws R, Campbell K, Appleton J, Ong K, Denney-Wilson E. A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program. Frontiers in Endocrinology 2019;10 View
  100. Lister C, West J, Cannon B, Sax T, Brodegard D. Just a Fad? Gamification in Health and Fitness Apps. JMIR Serious Games 2014;2(2):e9 View
  101. Rohde A, Duensing A, Dawczynski C, Godemann J, Lorkowski S, Brombach C. An App to Improve Eating Habits of Adolescents and Young Adults (Challenge to Go): Systematic Development of a Theory-Based and Target Group–Adapted Mobile App Intervention. JMIR mHealth and uHealth 2019;7(8):e11575 View
  102. Yang Y, Li S, Zhang K, Xiang X, Li Z, Ahn S, Murphy J. How the Daily Smartphone is Associated With Daily Travel, Physical Activity, and Self-Perceived Health: Evidence From 2017 National Household Travel Survey. Journal of Aging and Physical Activity 2020;28(5):740 View
  103. Forchuk C, Reiss J, Eichstedt J, Singh D, Collins K, Rudnick A, Walsh J, Ethridge P, Kutcher S, Fisman S. The Youth-Mental Health Engagement Network: An Exploratory Pilot Study of a Smartphone and Computer-Based Personal Health Record for Youth Experiencing Depressive Symptoms. International Journal of Mental Health 2016;45(3):205 View
  104. Scott S, Beyer F, Parkinson K, Muir C, Graye A, Kaner E, Stead M, Power C, Fitzgerald N, Bradley J, Wrieden W, Adamson A. Non-Pharmacological Interventions to Reduce Unhealthy Eating and Risky Drinking in Young Adults Aged 18–25 Years: A Systematic Review and Meta-Analysis. Nutrients 2018;10(10):1538 View
  105. Fanning J, Porter G, Awick E, Wójcicki T, Gothe N, Roberts S, Ehlers D, Motl R, McAuley E. Effects of a DVD-delivered exercise program on patterns of sedentary behavior in older adults: a randomized controlled trial. Preventive Medicine Reports 2016;3:238 View
  106. Alwashmi M, Fitzpatrick B, Farrell J, Gamble J, Davis E, Nguyen H, Farrell G, Hawboldt J. Perceptions of Patients Regarding Mobile Health Interventions for the Management of Chronic Obstructive Pulmonary Disease: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(7):e17409 View
  107. Elaheebocus S, 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 View
  108. Christmann C, Hoffmann A, Bleser G. Stress Management Apps With Regard to Emotion-Focused Coping and Behavior Change Techniques: A Content Analysis. JMIR mHealth and uHealth 2017;5(2):e22 View
  109. Kelly L, Jenkinson C, Morley D. Experiences of Using Web-Based and Mobile Technologies to Support Self-Management of Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2018;3(2):e9 View
  110. Stephenson A, McDonough S, Murphy M, Nugent C, Wilson I, Mair J. Exploring the Views of Desk-Based Office Workers and Their Employers’ Beliefs Regarding Strategies to Reduce Occupational Sitting Time, With an Emphasis on Technology-Supported Approaches. Journal of Occupational & Environmental Medicine 2020;62(2):149 View
  111. Goodyear V, Kerner C, Quennerstedt M. Young people’s uses of wearable healthy lifestyle technologies; surveillance, self-surveillance and resistance. Sport, Education and Society 2019;24(3):212 View
  112. Boonstra T, Nicholas J, Wong Q, Shaw F, Townsend S, Christensen H. Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions. Journal of Medical Internet Research 2018;20(7):e10131 View
  113. Huberty J, Eckert R, Larkey L, Kurka J, Rodríguez De Jesús S, Yoo W, Mesa R. Smartphone-Based Meditation for Myeloproliferative Neoplasm Patients: Feasibility Study to Inform Future Trials. JMIR Formative Research 2019;3(2):e12662 View
  114. Tang L, Kay J. Harnessing Long Term Physical Activity Data—How Long-term Trackers Use Data and How an Adherence-based Interface Supports New Insights. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2017;1(2):1 View
  115. Ramo D, Popova L, Grana R, Zhao S, Chavez K. Cannabis Mobile Apps: A Content Analysis. JMIR mHealth and uHealth 2015;3(3):e81 View
  116. Huckvale K, Venkatesh S, Christensen H. Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety. npj Digital Medicine 2019;2(1) View
  117. Antezana G, Venning A, Blake V, Smith D, Winsall M, Orlowski S, Bidargaddi N. An evaluation of behaviour change techniques in health and lifestyle mobile applications. Health Informatics Journal 2020;26(1):104 View
  118. Brodie M, Pliner E, Ho A, Li K, Chen Z, Gandevia S, Lord S. Big data vs accurate data in health research: Large-scale physical activity monitoring, smartphones, wearable devices and risk of unconscious bias. Medical Hypotheses 2018;119:32 View
  119. Willcox J, van der Pligt P, Ball K, Wilkinson S, Lappas M, McCarthy E, Campbell K. Views of Women and Health Professionals on mHealth Lifestyle Interventions in Pregnancy: A Qualitative Investigation. JMIR mHealth and uHealth 2015;3(4):e99 View
  120. Bangerter A, Manyakov N, Lewin D, Boice M, Skalkin A, Jagannatha S, Chatterjee M, Dawson G, Goodwin M, Hendren R, Leventhal B, Shic F, Ness S, Pandina G. Caregiver Daily Reporting of Symptoms in Autism Spectrum Disorder: Observational Study Using Web and Mobile Apps. JMIR Mental Health 2019;6(3):e11365 View
  121. Rodrigues A, Sniehotta F, Birch-Machin M, Olivier P, Araújo-Soares V. Acceptability and Feasibility of a Trial Testing Allocation to Sunscreen and a Smartphone App for Sun Protection: Discontinued Randomized Controlled Trial. JMIR Dermatology 2018;1(1):e1 View
  122. del Río Carral M, Roux P, Bruchez C, Santiago-Delefosse M. Santé digitale : promesses, défis et craintes. Une revue de la littérature. Pratiques Psychologiques 2017;23(1):61 View
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  366. Neves A, Jácome C, Taveira-Gomes T, Pereira A, Almeida R, Amaral R, Alves-Correia M, Mendes S, Chaves-Loureiro C, Valério M, Lopes C, Carvalho J, Mendes A, Ribeiro C, Prates S, Ferreira J, Teixeira M, Branco J, Santalha M, Vasconcelos M, Lozoya C, Santos N, Cardia F, Moreira A, Taborda-Barata L, Pinto C, Ferreira R, Morais Silva P, Monteiro Ferreira T, Câmara R, Lobo R, Bordalo D, Guimarães C, Espírito Santo M, Ferraz de Oliveira J, Cálix Augusto M, Gomes R, Vieira I, da Silva S, Marques M, Cardoso J, Morete A, Aroso M, Cruz A, Nunes C, Câmara R, Rodrigues N, Abreu C, Albuquerque A, Vieira C, Santos C, Páscoa R, Chaves-Loureiro C, Alves A, Neves Â, Varanda Marques J, Reis B, Ferreira-Magalhães M, Almeida Fonseca J. Determinants of use of health and fitness mobile apps by patients with asthma: secondary analysis of observational studies (Preprint). Journal of Medical Internet Research 2020 View
  367. Choi M, Lee S, Lee S, Rho M, Kim D, Choi I. Behavioral Intention to Use a Smartphone Usage Management Application Between a Non-Problematic Smartphone Use Group and a Problematic Use Group. Frontiers in Psychiatry 2021;12 View
  368. Fang W, Ng E, Liu S, Chiang Y, Chang M. Determinants of pro-environmental behavior among excessive smartphone usage children and moderate smartphone usage children in Taiwan. PeerJ 2021;9:e11635 View
  369. Wit R, Lucassen D, Beulen Y, Faessen J, Bos-de Vos M, van Dongen J, Feskens E, Wagemakers A, Brouwer-Brolsma E. Midwives’ Experiences with and Perspectives on Online (Nutritional) Counselling and mHealth Applications for Pregnant Women; an Explorative Qualitative Study. International Journal of Environmental Research and Public Health 2021;18(13):6733 View
  370. Sangers T, Wakkee M, Kramer‐Noels E, Nijsten T, Lugtenberg M. Views on mobile health apps for skin cancer screening in the general population: an in‐depth qualitative exploration of perceived barriers and facilitators. British Journal of Dermatology 2021 View
  371. Lewis E, Hassmén P, Pumpa K. Participant perspectives of a telehealth trial investigating the use of telephone and text message support in obesity management: a qualitative evaluation. BMC Health Services Research 2021;21(1) View
  372. König L, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework. JMIR mHealth and uHealth 2021;9(6):e20037 View
  373. Han M, Rhee S. Effect of Adherence to Smartphone App Use on the Long-term Effectiveness of Weight Loss in Developing and OECD Countries: Retrospective Cohort Study. JMIR mHealth and uHealth 2021;9(7):e13496 View
  374. Alshehri F, Alshaikh F. Exploring the Constituent Elements of a Successful Mobile Health Intervention for Prediabetic Patients in King Saud University Medical City Hospitals in Saudi Arabia: Cross-sectional Study. JMIR Formative Research 2021;5(7):e22968 View
  375. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  376. Tobias G, Sgan-Cohen H, Spanier A, Mann J. Perceptions and attitudes towards use of an mHealth app for remote monitoring of gingivitis (iGAM) and willingness to pay for mHealth apps (Part 3) Mixed methods study (Preprint). JMIR Formative Research 2020 View
  377. KC B, Alrasheedy A, Goh B, Blebil A, Bangash N, Mohamed Ibrahim M, Rehman I. The Types and Pattern of Use of Mobile Health Applications Among the General Population: A Cross-Sectional Study from Selangor, Malaysia. Patient Preference and Adherence 2021;Volume 15:1755 View
  378. Lim S, Lee K, Seow W, Mohamed N, Devaraj N, Amin-Nordin S. Effectiveness of Integrated Technology Apps for Supporting Healthy Food Purchasing and Consumption: A Systematic Review. Foods 2021;10(8):1861 View

Books/Policy Documents

  1. Seçkin G. Emotions, Technology, and Health. View
  2. Campise R, Kinn J, Cooper D. Handbook of Military Psychology. View
  3. Deb R, Mahto P, Deka L. Recent Developments in Individual and Organizational Adoption of ICTs. View
  4. Farmer L. Handbook of Research on Adult and Community Health Education. View
  5. Giazitzi K, Karathanos V, Boskou G. Quality Assurance in the Era of Individualized Medicine. View
  6. Mathai M, Ginige A, Srinivasan U, Girosi F. Green, Pervasive, and Cloud Computing. View
  7. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. View
  8. Jalali L, Bigelow P. Mobile Health. View
  9. Arshad R, Baig M, Tariq M, Shahid S. Human-Computer Interaction – INTERACT 2019. View
  10. Adewumi A, Olatunde G, Misra S, Maskeliūnas R, Damaševičius R. Information Technology Science. View
  11. Mubin O, Mahmud A, Kabir M. Persuasive Technology. View
  12. Shin E, Shaban-Nejad A. Public Health Intelligence and the Internet. View
  13. Messner E, Probst T, O’Rourke T, Stoyanov S, Baumeister H. Digital Phenotyping and Mobile Sensing. View
  14. Amresh A, Lyles A, Gary K. Cognitive Informatics in Health and Biomedicine. View
  15. O’Neill B, Best C, Jamieson M. Traumatic Brain Injury. View
  16. Seçkin G, Kahana E. Encyclopedia of Mobile Phone Behavior. View
  17. Hamper A, Eigner I, Popp A. Theories to Inform Superior Health Informatics Research and Practice. View
  18. Ünal P, Cavdar S, Temizel T, Eren P, Iyengar S. Mobile Web and Intelligent Information Systems. View
  19. Ramalho S, Silva C, Pinto-Bastos A, Conceição E. Obesity. View
  20. Sacramento I, Wanick V. Mobile e-Health. View
  21. Bychkov D, Young S. Big Data in Engineering Applications. View
  22. Richter J, Kampling C, Schneider M. Patient Reported Outcome Measures in Rheumatic Diseases. View
  23. Cai F, Dai G, Han T. Design, User Experience, and Usability: Novel User Experiences. View
  24. Skinner D, Franz B. The Political Economy of Robots. View
  25. King D, Rahman E, Potter A, van Teijlingen E. Proceedings of the Future Technologies Conference (FTC) 2018. View
  26. Wong E, Ma W. New Ecology for Education — Communication X Learning. View
  27. Unal P, Cavdar S, Temizel T, Eren P, Iyengar M. Current and Emerging mHealth Technologies. View
  28. Mohamad U. Advances in Visual Informatics. View
  29. Farmer L. Psychology and Mental Health. View
  30. Ribeiro N, Moreira L, Almeida A, Santos M. Encyclopedia of E-Health and Telemedicine. View
  31. Fiorucci A, Pinnelli S. Ambient Assisted Living. View
  32. Rosa L, Silva F, Analide C. Intelligent Data Engineering and Automated Learning – IDEAL 2020. View
  33. Chawla S, Sabharwal J, McCarthy B, Erhardt R. Broadening Cultural Horizons in Social Marketing. View
  34. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View
  35. Busch L, Schücker L, Utesch T, Strauss B. Trust and Communication. View
  36. Bolzan R, Ventura P, Fernandes S. Handbook of Research on IoT, Digital Transformation, and the Future of Global Marketing. View