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

Mobile Health (mhealth) (2777)

Published on in Vol 14, No 2 (2012): Mar-Apr

Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial

Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial

Using Smartphone Technology to Monitor Physical Activity in the 10,000 Steps Program: A Matched Case–Control Trial

Authors of this article:

Morwenna Kirwan1 ;   Mitch J Duncan1 ;   Corneel Vandelanotte1 Author Orcid Image ;   W Kerry Mummery2 Author Orcid Image
Article Authors Cited by (122) Tweetations (24) Metrics

Journals

  1. Vandelanotte C, Kirwan M, Rebar A, Alley S, Short C, Fallon L, Buzza G, Schoeppe S, Maher C, Duncan M. Examining the use of evidence-based and social media supported tools in freely accessible physical activity intervention websites. International Journal of Behavioral Nutrition and Physical Activity 2014;11(1) View
  2. 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
  3. Joseph-Shehu E, Ncama B, Mooi N, Mashamba-Thompson T. The use of information and communication technologies to promote healthy lifestyle behaviour: a systematic scoping review. BMJ Open 2019;9(10):e029872 View
  4. Middelweerd A, van der Laan D, van Stralen M, Mollee J, Stuij M, te Velde S, Brug J. What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach. International Journal of Behavioral Nutrition and Physical Activity 2015;12(1) View
  5. Wright S, Hall Brown T, Collier S, Sandberg K. How consumer physical activity monitors could transform human physiology research. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 2017;312(3):R358 View
  6. Pang B, Kubacki K, Rundle-Thiele S. Promoting active travel to school: a systematic review (2010–2016). BMC Public Health 2017;17(1) View
  7. Hamamatsu Y, Ide H, Kakinuma M, Furui Y. Maintaining Physical Activity Level Through Team-Based Walking With a Mobile Health Intervention: Cross-Sectional Observational Study. JMIR mHealth and uHealth 2020;8(7):e16159 View
  8. McKay F, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130 View
  9. Bort-Roig J, Gilson N, Puig-Ribera A, Contreras R, Trost S. Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review. Sports Medicine 2014;44(5):671 View
  10. Cabrita M, op den Akker H, Tabak M, Hermens H, Vollenbroek-Hutten M. Persuasive technology to support active and healthy ageing: An exploration of past, present, and future. Journal of Biomedical Informatics 2018;84:17 View
  11. Steinert A, Haesner M, Steinhagen-Thiessen E. App-basiertes Selbstmonitoring bei Typ-2-Diabetes. Zeitschrift für Gerontologie und Geriatrie 2017;50(6):516 View
  12. Payne H, Moxley V, MacDonald E. Health Behavior Theory in Physical Activity Game Apps: A Content Analysis. JMIR Serious Games 2015;3(2):e4 View
  13. Tong H, Coiera E, Tong W, Wang Y, Quiroz J, 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 View
  14. Jiang Y, Sereika S, DeVito Dabbs A, Handler S, Schlenk E. Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation. Applied Clinical Informatics 2016;07(02):430 View
  15. Goodman S, Morrongiello B, Meckling K. A randomized, controlled trial evaluating the efficacy of an online intervention targeting vitamin D intake, knowledge and status among young adults. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  16. Flores Mateo G, Granado-Font E, Ferré-Grau C, Montaña-Carreras X. Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2015;17(11):e253 View
  17. Dean D, Griffith D, McKissic S, Cornish E, Johnson-Lawrence V. Men on the Move–Nashville: Feasibility and Acceptability of a Technology-Enhanced Physical Activity Pilot Intervention for Overweight and Obese Middle and Older Age African American Men. American Journal of Men's Health 2018;12(4):798 View
  18. Alonso-Domínguez R, Patino-Alonso M, Sánchez-Aguadero N, García-Ortiz L, Recio-Rodríguez J, Gómez-Marcos M. Effect of a multifactorial intervention on the increase in physical activity in subjects with type 2 diabetes mellitus: a randomized clinical trial (EMID Study). European Journal of Cardiovascular Nursing 2019;18(5):399 View
  19. Hino K, Asami Y, Lee J. Step Counts of Middle-Aged and Elderly Adults for 10 Months Before and After the Release of Pokémon GO in Yokohama, Japan. Journal of Medical Internet Research 2019;21(2):e10724 View
  20. Short C, Vandelanotte C, Dixon M, Rosenkranz R, Caperchione C, Hooker C, Karunanithi M, Kolt G, Maeder A, Ding H, Taylor P, Duncan M. Examining Participant Engagement in an Information Technology-Based Physical Activity and Nutrition Intervention for Men: The Manup Randomized Controlled Trial. JMIR Research Protocols 2014;3(1):e2 View
  21. Wang J, Wang Y, Wei C, Yao N, Yuan A, Shan Y, Yuan C. Smartphone Interventions for Long-Term Health Management of Chronic Diseases: An Integrative Review. Telemedicine and e-Health 2014;20(6):570 View
  22. Guertler D, Vandelanotte C, Kirwan M, Duncan M. 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 View
  23. Melton B, Buman M, Vogel R, Harris B, Bigham L. Wearable Devices to Improve Physical Activity and Sleep. Journal of Black Studies 2016;47(6):610 View
  24. Morrison L, Hargood C, Lin S, Dennison L, Joseph J, Hughes S, Michaelides D, Johnston D, Johnston M, Michie S, Little P, Smith P, Weal M, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201 View
  25. Ahuja N, Ozdalga E, Aaronson A. Integrating Mobile Fitness Trackers Into the Practice of Medicine. American Journal of Lifestyle Medicine 2017;11(1):77 View
  26. Feter N, dos Santos T, Caputo E, da Silva M. 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 View
  27. Duncan M, Vandelanotte C, Trost S, Rebar A, Rogers N, Burton N, Murawski B, Rayward A, Fenton S, Brown W. Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults. BMC Public Health 2016;16(1) View
  28. Gabbiadini A, Sagioglou C, Greitemeyer T. Does Pokémon Go lead to a more physically active life style?. Computers in Human Behavior 2018;84:258 View
  29. Kirwan M, Vandelanotte C, Fenning A, Duncan M. Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(11):e235 View
  30. Griffin N, Kehoe M. A questionnaire study to explore the views of people with multiple sclerosis of using smartphone technology for health care purposes. Disability and Rehabilitation 2018;40(12):1434 View
  31. McKay F, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22 View
  32. Pande A, Mohapatra P, Nicorici A, Han J. Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy. JMIR Rehabilitation and Assistive Technologies 2016;3(2):e7 View
  33. Edney S, Olds T, Ryan J, Vandelanotte C, Plotnikoff R, Curtis R, Maher C. A Social Networking and Gamified App to Increase Physical Activity: Cluster RCT. American Journal of Preventive Medicine 2020;58(2):e51 View
  34. O’Reilly G, Spruijt-Metz D. Current mHealth Technologies for Physical Activity Assessment and Promotion. American Journal of Preventive Medicine 2013;45(4):501 View
  35. Lee G, Park J, Shin S, Hwang J, Ryu H, Lee J, Bates D. Which Users Should Be the Focus of Mobile Personal Health Records? Analysis of User Characteristics Influencing Usage of a Tethered Mobile Personal Health Record. Telemedicine and e-Health 2016;22(5):419 View
  36. Goodman S, Morrongiello B, Randall Simpson J, Meckling K. Vitamin D Intake Among Young Canadian Adults: Validation of a Mobile Vitamin D Calculator App. Journal of Nutrition Education and Behavior 2015;47(3):242 View
  37. Darcy A, Lock J. Using Technology to Improve Treatment Outcomes for Children and Adolescents with Eating Disorders. Child and Adolescent Psychiatric Clinics of North America 2017;26(1):33 View
  38. Kutz D, Shankar K, Connelly K. Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study. Journal of Medical Internet Research 2013;15(5):e83 View
  39. Bhat G, Tuncel Y, An S, Lee H, Ogras U. An Ultra-Low Energy Human Activity Recognition Accelerator for Wearable Health Applications. ACM Transactions on Embedded Computing Systems 2019;18(5s):1 View
  40. Taki S, Russell C, Wen L, Laws R, Campbell K, Xu H, Denney-Wilson E. Consumer Engagement in Mobile Application (App) Interventions Focused on Supporting Infant Feeding Practices for Early Prevention of Childhood Obesity. Frontiers in Public Health 2019;7 View
  41. Gilmore L, Duhé A, Frost E, Redman L. The Technology Boom. Journal of Diabetes Science and Technology 2014;8(3):596 View
  42. Cole J, Tully M, Cupples M. “They should stay at their desk until the work’s done”: a qualitative study examining perceptions of sedentary behaviour in a desk-based occupational setting. BMC Research Notes 2015;8(1) View
  43. Joseph-Shehu E, Ncama B, Irinoye O. Developing and Pilot Testing an Integrated Technology–Moderated Institutional Health Promotion Model Using Operational Research Approach. CIN: Computers, Informatics, Nursing 2019;37(10):532 View
  44. Modave F, Guo Y, Bian J, Gurka M, Parish A, Smith M, Lee A, Buford T. Mobile Device Accuracy for Step Counting Across Age Groups. JMIR mHealth and uHealth 2017;5(6):e88 View
  45. Liao G, Chien Y, Chen Y, Hsiung H, Chen H, Hsieh M, Wu W. What to Build for Middle-Agers to Come? Attractive and Necessary Functions of Exercise-Promotion Mobile Phone Apps: A Cross-Sectional Study. JMIR mHealth and uHealth 2017;5(5):e65 View
  46. Hawkins J, Edwards M, Charles J, Jago R, Kelson M, Morgan K, Murphy S, Oliver E, Simpson S, Edwards R, Moore G. Protocol for a feasibility randomised controlled trial of the use of Physical ACtivity monitors in an Exercise Referral Setting: the PACERS study. Pilot and Feasibility Studies 2017;3(1) View
  47. Lister C, West J, Richards R, Crookston B, Hall P, Redelfs A. Technology for health: A qualitative study on barriers to using the iPad for diet change. Health 2013;05(04):761 View
  48. Mazur J, Dzielska A, Kleszczewska D, Oblacińska A, Fijałkowska A. Changes in physical activity of adolescent girls in the context of their perception of the Healthy Me programme. European Journal of Public Health 2020;30(3):433 View
  49. Chowdhury A, Tjondronegoro D, Chandran V, Zhang J, Trost S. Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data. Sensors 2019;19(20):4509 View
  50. Dounavi K, Tsoumani O. Mobile Health Applications in Weight Management: A Systematic Literature Review. American Journal of Preventive Medicine 2019;56(6):894 View
  51. Duncan M, Brown W, Mummery W, Vandelanotte C. 10,000 Steps Australia: a community-wide eHealth physical activity promotion programme. British Journal of Sports Medicine 2018;52(14):885 View
  52. Middelweerd A, te Velde S, Mollee J, Klein M, Brug J. App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content. JMIR Research Protocols 2018;7(12):e185 View
  53. Muntaner A, Vidal-Conti J, Palou P. Increasing physical activity through mobile device interventions: A systematic review. Health Informatics Journal 2016;22(3):451 View
  54. Silva A, Simões P, Santos R, Queirós A, Rocha N, Rodrigues M. A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing. Journal of Medical Internet Research 2019;21(11):e14829 View
  55. Serrano Ripoll M, Oliván-Blázquez B, Vicens-Pons E, Roca M, Gili M, Leiva A, García-Campayo J, Demarzo M, García-Toro M. Lifestyle change recommendations in major depression: Do they work?. Journal of Affective Disorders 2015;183:221 View
  56. Darcy A, Adler S, Miner A, Lock J. How smartphone applications may be implemented in the treatment of eating disorders: case reports and case series data. Advances in Eating Disorders 2014;2(3):217 View
  57. Fanning J, Mullen S, McAuley E. Increasing Physical Activity With Mobile Devices: A Meta-Analysis. Journal of Medical Internet Research 2012;14(6):e161 View
  58. Mercer K, Giangregorio L, Schneider E, Chilana P, Li M, Grindrod K. Acceptance of Commercially Available Wearable Activity Trackers Among Adults Aged Over 50 and With Chronic Illness: A Mixed-Methods Evaluation. JMIR mHealth and uHealth 2016;4(1):e7 View
  59. Deliens T, Van Crombruggen R, Verbruggen S, De Bourdeaudhuij I, Deforche B, Clarys P. Dietary interventions among university students: A systematic review. Appetite 2016;105:14 View
  60. 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 View
  61. Anderson K, Griffiths D, DeBell L, Hancock S, Duffy J, Shutler J, Reinhardt W, Griffiths A, Vadrevu K. A Grassroots Remote Sensing Toolkit Using Live Coding, Smartphones, Kites and Lightweight Drones. PLOS ONE 2016;11(5):e0151564 View
  62. Ozdalga E, Ozdalga A, Ahuja N. The Smartphone in Medicine: A Review of Current and Potential Use Among Physicians and Students. Journal of Medical Internet Research 2012;14(5):e128 View
  63. Robbins R, Krebs P, Rapoport D, Jean-Louis G, Duncan D. Examining Use of Mobile Phones for Sleep Tracking Among a National Sample in the USA. Health Communication 2019;34(5):545 View
  64. Reynoldson C, Stones C, Allsop M, Gardner P, Bennett M, Closs S, Jones R, Knapp P. Assessing the Quality and Usability of Smartphone Apps for Pain Self-Management. Pain Medicine 2014;15(6):898 View
  65. Johnston W, Hoffman S, Thornton L. Mobile health: a synopsis and comment on “Increasing physical activity with mobile devices: a meta-analysis”. Translational Behavioral Medicine 2014;4(1):4 View
  66. 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
  67. Duncan M, Caperchione C, Corry K, Van Itallie A, Vandelanotte C. A RE-AIM Evaluation of a Workplace Physical Activity Microgrant Initiative. Journal of Occupational & Environmental Medicine 2019;61(9):718 View
  68. Feldman D, Theodore Robison W, Pacor J, Caddell L, Feldman E, Deitz R, Feldman T, Martin S, Nasir K, Blaha M. Harnessing mHealth technologies to increase physical activity and prevent cardiovascular disease. Clinical Cardiology 2018;41(7):985 View
  69. Anderson K, Emmerton L. Contribution of mobile health applications to self-management by consumers: review of published evidence. Australian Health Review 2016;40(5):591 View
  70. Hosseinpour M, Terlutter R. Your Personal Motivator is with You: A Systematic Review of Mobile Phone Applications Aiming at Increasing Physical Activity. Sports Medicine 2019;49(9):1425 View
  71. Liu S, Willoughby J. Do Fitness Apps Need Text Reminders? An Experiment Testing Goal-Setting Text Message Reminders to Promote Self-Monitoring. Journal of Health Communication 2018;23(4):379 View
  72. Lyons E, Hatkevich C. Prevalence of Behavior Changing Strategies in Fitness Video Games: Theory-Based Content Analysis. Journal of Medical Internet Research 2013;15(5):e81 View
  73. Caperchione C, Duncan M, Kolt G, Vandelanotte C, Rosenkranz R, Maeder A, Noakes M, Karunanithi M, Mummery W. Examining an Australian physical activity and nutrition intervention using RE-AIM. Health Promotion International 2016;31(2):450 View
  74. Litman L, Rosen Z, Spierer D, Weinberger-Litman S, Goldschein A, Robinson J. Mobile Exercise Apps and Increased Leisure Time Exercise Activity: A Moderated Mediation Analysis of the Role of Self-Efficacy and Barriers. Journal of Medical Internet Research 2015;17(8):e195 View
  75. van Drongelen A, Boot C, Hlobil H, Smid T, van der Beek A. Process evaluation of a tailored mobile health intervention aiming to reduce fatigue in airline pilots. BMC Public Health 2016;16(1) View
  76. Duncan M, Vandelanotte C, Kolt G, Rosenkranz R, Caperchione C, George E, Ding H, Hooker C, Karunanithi M, Maeder A, Noakes M, Tague R, Taylor P, Viljoen P, Mummery W. Effectiveness of a Web- and Mobile Phone-Based Intervention to Promote Physical Activity and Healthy Eating in Middle-Aged Males: Randomized Controlled Trial of the ManUp Study. Journal of Medical Internet Research 2014;16(6):e136 View
  77. Gabbiadini A, Greitemeyer T. Fitness mobile apps positively affect attitudes, perceived behavioral control and physical activities. The Journal of Sports Medicine and Physical Fitness 2019;59(3) View
  78. Garcia-Ortiz L, Recio-Rodriguez J, Agudo-Conde C, Patino-Alonso M, Maderuelo-Fernandez J, Repiso Gento I, Puigdomenech Puig E, Gonzalez-Viejo N, Arietaleanizbeaskoa M, Schmolling-Guinovart Y, Gomez-Marcos M, Rodriguez-Sanchez E. Long-Term Effectiveness of a Smartphone App for Improving Healthy Lifestyles in General Population in Primary Care: Randomized Controlled Trial (Evident II Study). JMIR mHealth and uHealth 2018;6(4):e107 View
  79. Lynch E, Jones T, Simpson D, Fini N, Kuys S, Borschmann K, Kramer S, Johnson L, Callisaya M, Mahendran N, Janssen H, English C. Activity monitors for increasing physical activity in adult stroke survivors. Cochrane Database of Systematic Reviews 2018 View
  80. Wan N, Wen M, Fan J, Tavake-Pasi O, McCormick S, Elliott K, Nicolosi E. Physical Activity Barriers and Facilitators Among US Pacific Islanders and the Feasibility of Using Mobile Technologies for Intervention: A Focus Group Study With Tongan Americans. Journal of Physical Activity and Health 2018;15(4):287 View
  81. Payne H, Lister C, West J, Bernhardt J. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20 View
  82. Duncan M, Vandelanotte C, Rosenkranz R, Caperchione C, Ding H, Ellison M, George E, Hooker C, Karunanithi M, Kolt G, Maeder A, Noakes M, Tague R, Taylor P, Viljoen P, Mummery W. Effectiveness of a website and mobile phone based physical activity and nutrition intervention for middle-aged males: Trial protocol and baseline findings of the ManUp Study. BMC Public Health 2012;12(1) View
  83. Rönkkö K. An Activity Tracker and Its Accompanying App as a Motivator for Increased Exercise and Better Sleeping Habits for Youths in Need of Social Care: Field Study. JMIR mHealth and uHealth 2018;6(12):e193 View
  84. Smith W. Communication, Sportsmanship, and Negotiating Ethical Conduct on the Digital Playing Field. Communication & Sport 2017;5(2):160 View
  85. Al Ayubi S, 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 View
  86. Lobelo F, Kelli H, Tejedor S, Pratt M, McConnell M, Martin S, Welk G. 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 View
  87. Monroe C, Thompson D, Bassett D, Fitzhugh E, Raynor H. Usability of Mobile Phones in Physical Activity–Related Research: A Systematic Review. American Journal of Health Education 2015;46(4):196 View
  88. Singh K, Drouin K, Newmark L, Filkins M, Silvers E, Bain P, Zulman D, Lee J, Rozenblum R, Pabo E, Landman A, Klinger E, Bates D. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136 View
  89. Peters A, Kellogg M, Zhang Y. Implementation of a Smartphone App to Measure and Manage Anxiety in Undergraduate Clinical Nursing Students. Nursing Education Perspectives 2019;40(6):367 View
  90. Blackman K, Zoellner J, Berrey L, Alexander R, Fanning J, Hill J, Estabrooks P. 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 View
  91. Marcano Belisario J, Jamsek J, Huckvale K, O'Donoghue J, Morrison C, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database of Systematic Reviews 2015;2015(7) View
  92. Bassett-Gunter R, Chang A. Self-Regulatory Self-Efficacy, Action Control, and Planning: There's an App for That!. Telemedicine and e-Health 2016;22(4):325 View
  93. Wang L, Guo Y, Wang M, Zhao Y. A mobile health application to support self-management in patients with chronic obstructive pulmonary disease: a randomised controlled trial. Clinical Rehabilitation 2021;35(1):90 View
  94. Lin Y, Chen S, Lin P, Tai A, Pan Y, Hsieh C, Lin S. Assessing User Retention of a Mobile App: Survival Analysis. JMIR mHealth and uHealth 2020;8(11):e16309 View
  95. Rayward A, Vandelanotte C, Van Itallie A, Duncan M. The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study. Journal of Medical Internet Research 2021;23(6):e22151 View
  96. Wen P, Mackey J, Rose D, Waid-Ebbs J. Smartphone Application for Measuring Community Participation in Veterans With Traumatic Brain Injury. OTJR: Occupation, Participation and Health 2021;41(3):196 View
  97. Bird J, Karageorghis C, Hamer M. Relationships among behavioural regulations, physical activity, and mental health pre- and during COVID–19 UK lockdown. Psychology of Sport and Exercise 2021;55:101945 View
  98. Zuccolo P, Xavier M, Matijasevich A, Polanczyk G, Fatori D. A smartphone-assisted brief online cognitive-behavioral intervention for pregnant women with depression: a study protocol of a randomized controlled trial. Trials 2021;22(1) View
  99. Deliens T, Versele V, Jehin J, D’Hondt E, Verhavert Y, Clarys P, Devlieger R, Bogaerts A, Aerenhouts D. Misreporting of Physical Activity and Sedentary Behavior in Parents-to-Be: A Validation Study across Sex. International Journal of Environmental Research and Public Health 2021;18(9):4654 View
  100. Nagino K, Okumura Y, Yamaguchi M, Sung J, Nagao M, Fujio K, Akasaki Y, Huang T, Hirosawa K, Iwagami M, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Okajima Y, Kakisu K, Tei Y, Yamaguchi T, Tomida D, Fukui M, Yagi-Yaguchi Y, Hori Y, Shimazaki J, Nojiri S, Morooka Y, Yee A, Miura M, Ohno M, Inomata T. Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study. JMIR Research Protocols 2023;12:e45218 View
  101. Khowaja K, Syed W, Singh M, Taheri S, Chagoury O, Al-Thani D, Aupetit M. A Participatory Design Approach to Develop Visualization of Wearable Actigraphy Data for Health Care Professionals: Case Study in Qatar. JMIR Human Factors 2022;9(2):e25880 View
  102. Mieszkowska K, Krajewski G, Sobota K, Dynak A, Kolak J, Krysztofiak M, Łukomska B, Łuniewska M, Garmann N, Hansen P, Romøren A, Simonsen H, Alcock K, Katsos N, Haman E. Parental Report via a Mobile App in the Context of Early Language Trajectories: StarWords Study Protocol. International Journal of Environmental Research and Public Health 2022;19(5):3067 View
  103. Vandelanotte C, Hooker C, Van Itallie A, Urooj A, Duncan M, Rowe R. Understanding super engaged users in the 10,000 Steps online physical activity program: A qualitative study. PLOS ONE 2022;17(10):e0274975 View
  104. Dobbie L, Tahrani A, Alam U, James J, Wilding J, Cuthbertson D. Exercise in Obesity—the Role of Technology in Health Services: Can This Approach Work?. Current Obesity Reports 2021;11(3):93 View
  105. Eswaramoorthi V, Kuan G, Abdullah M, Abdul Majeed A, Suppiah P, Musa R. Design and Validation of a Virtual Physical Education and Sport Science–Related Course: A Learner’s Engagement Approach. International Journal of Environmental Research and Public Health 2022;19(13):7636 View
  106. Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817 View
  107. Lee H, Ahn J, Lee J. Development and Validation of a Questionnaire on the Feasibility of a Mobile Dietary Self-Monitoring Application. Korean Journal of Community Nutrition 2022;27(2):146 View
  108. Fang J, Lee V, Wang H. Optimal service resource management strategy for IoT-based health information system considering value co-creation of users. Industrial Management & Data Systems 2024;124(3):1132 View
  109. Chen Z, Siegel L, Prutzman Y, Wiseman K. Characterizing perceived usability and its correlation with smoking cessation: An analysis of user assessments of the smoking cessation app quitSTART. Internet Interventions 2024;35:100714 View
  110. Kim G, Kim S, Lee Y, Jin S, Hur K, Kim J. A randomized controlled trial of an app-based intervention on physical activity and glycemic control in people with type 2 diabetes. BMC Medicine 2024;22(1) View
  111. Alley S, Schoeppe S, Guertler D, Jennings C, Duncan M, Vandelanotte C. Interest and preferences for using advanced physical activity tracking devices: results of a national cross-sectional survey. BMJ Open 2016;6(7):e011243 View

Books/Policy Documents

  1. Kronbauer A, Santos C. Mobile and Ubiquitous Systems: Computing, Networking, and Services. View
  2. Brzostowski K, Drapała J, Dziedzic G, Świa̧tek J. Intelligent Information and Database Systems. View
  3. Griffith D, Jaeger E. Cancer Health Equity Research. View