Published on in Vol 14, No 6 (2012): Nov-Dec

Increasing Physical Activity With Mobile Devices: A Meta-Analysis

Increasing Physical Activity With Mobile Devices: A Meta-Analysis

Increasing Physical Activity With Mobile Devices: A Meta-Analysis

Authors of this article:

Jason Fanning1 Author Orcid Image ;   Sean P Mullen1 ;   Edward McAuley1 Author Orcid Image


  1. Widmer R, Collins N, Collins C, West C, Lerman L, Lerman A. Digital Health Interventions for the Prevention of Cardiovascular Disease: A Systematic Review and Meta-analysis. Mayo Clinic Proceedings 2015;90(4):469 View
  2. Willoughby J, Liu S. Do pictures help tell the story? An experimental test of narrative and emojis in a health text message intervention. Computers in Human Behavior 2018;79:75 View
  3. Baranowski T. Pokémon Go, go, go, gone?. Games for Health Journal 2016;5(5):293 View
  4. Lee B, Park Y, Lee J, Kim S, Jang Y, Lee J. Smartphone Application Versus Pedometer to Promote Physical Activity in Prostate Cancer Patients. Telemedicine and e-Health 2019;25(12):1231 View
  5. Phillips S, Courneya K, Welch W, Gavin K, Cottrell A, Nielsen A, Solk P, Blanch-Hartigan D, Cella D, Ackermann R, Spring B, Penedo F. Breast cancer survivors’ preferences for mHealth physical activity interventions: findings from a mixed methods study. Journal of Cancer Survivorship 2019;13(2):292 View
  6. Smit E, Bol N. From self-reliers to expert-dependents: identifying classes based on health-related need for autonomy and need for external control among mobile users. Media Psychology 2020;23(3):391 View
  7. Song D, Yu D, Li P, Lei Y. The effectiveness of physical exercise on cognitive and psychological outcomes in individuals with mild cognitive impairment: A systematic review and meta-analysis. International Journal of Nursing Studies 2018;79:155 View
  8. Hoj T, Covey E, Jones A, Haines A, Hall P, Crookston B, West J. How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms. JMIR mHealth and uHealth 2017;5(8):e114 View
  9. Patten C, Bronars C, Vickers Douglas K, Ussher M, Levine J, Tye S, Hughes C, Brockman T, Decker P, DeJesus R, Williams M, Olson T, Clark M, Dieterich A. Supervised, Vigorous Intensity Exercise Intervention for Depressed Female Smokers: A Pilot Study. Nicotine & Tobacco Research 2017;19(1):77 View
  10. Collins T, Lu L, Valverde M, Silva M, Parra-Medina D. Efficacy of a multi-component intervention to promote physical activity among Latino adults: A randomized controlled trial. Preventive Medicine Reports 2019;16:100965 View
  11. Gomersall S, Skinner T, Winkler E, Healy G, Eakin E, Fjeldsoe B. Feasibility, acceptability and efficacy of a text message-enhanced clinical exercise rehabilitation intervention for increasing ‘whole-of-day’ activity in people living with and beyond cancer. BMC Public Health 2019;19(S2) View
  12. Pfirrmann D, Haller N, Huber Y, Jung P, Lieb K, Gockel I, Poplawska K, Schattenberg J, Simon P. Applicability of a Web-Based, Individualized Exercise Intervention in Patients With Liver Disease, Cystic Fibrosis, Esophageal Cancer, and Psychiatric Disorders: Process Evaluation of 4 Ongoing Clinical Trials. JMIR Research Protocols 2018;7(5):e106 View
  13. 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
  14. Wilaiwan W, Siriwong W. The Healthy e-Elderly People Assessment (HEPA) application. Journal of Health Research 2019;33(1):14 View
  15. Mendelson M, Bailly S, Marillier M, Flore P, Borel J, Vivodtzev I, Doutreleau S, Verges S, Tamisier R, Pépin J. Obstructive Sleep Apnea Syndrome, Objectively Measured Physical Activity and Exercise Training Interventions: A Systematic Review and Meta-Analysis. Frontiers in Neurology 2018;9 View
  16. Kim H, Seo K. Smartphone-Based Health Program for Improving Physical Activity and Tackling Obesity for Young Adults: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2019;17(1):15 View
  17. Wang C, Chaovalit P, Pongnumkul S. A Breastfeed-Promoting Mobile App Intervention: Usability and Usefulness Study. JMIR mHealth and uHealth 2018;6(1):e27 View
  18. 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
  19. Fennell C, Barkley J, Lepp A. The relationship between cell phone use, physical activity, and sedentary behavior in adults aged 18–80. Computers in Human Behavior 2019;90:53 View
  20. De Bruijn G, Dallinga J, Deutekom M. Predictors of Walking App Users With Comparison of Current Users, Previous Users, and Informed Nonusers in a Sample of Dutch Adults: Questionnaire Study. JMIR mHealth and uHealth 2021;9(5):e13391 View
  21. Msetfi R, O'Sullivan D, Walsh A, Nelson J, Van de Ven P. Using Mobile Phones to Examine and Enhance Perceptions of Control in Mildly Depressed and Nondepressed Volunteers: Intervention Study. JMIR mHealth and uHealth 2018;6(11):e10114 View
  22. Laoviwat P, Suppapanya P, Yousapronpaiboon K. A Study of Demographics Influencing on Consumer Behavior and Attitude towards Brand Equity of Optical Business in Thailand. International Journal of Trade, Economics and Finance 2014;5(4):347 View
  23. Buchholz S, Ingram D, Wilbur J, Fogg L, Sandi G, Moss A, Ocampo E. Bilingual Text4Walking Food Service Employee Intervention Pilot Study. JMIR mHealth and uHealth 2016;4(2):e68 View
  24. Gourlan M, Bernard P, Bortolon C, Romain A, Lareyre O, Carayol M, Ninot G, Boiché J. Efficacy of theory-based interventions to promote physical activity. A meta-analysis of randomised controlled trials. Health Psychology Review 2016;10(1):50 View
  25. Michard F. A sneak peek into digital innovations and wearable sensors for cardiac monitoring. Journal of Clinical Monitoring and Computing 2017;31(2):253 View
  26. Stiglbauer B, Weber S, Batinic B. Does your health really benefit from using a self-tracking device? Evidence from a longitudinal randomized control trial. Computers in Human Behavior 2019;94:131 View
  27. Schippers M, Adam P, Smolenski D, Wong H, de Wit J. A meta‐analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration. Obesity Reviews 2017;18(4):450 View
  28. Vandelanotte C, Müller A, Short C, Hingle M, Nathan N, Williams S, Lopez M, Parekh S, Maher C. Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors. Journal of Nutrition Education and Behavior 2016;48(3):219 View
  29. Escoffery C, McGee R, Bidwell J, Sims C, Thropp E, Frazier C, Mynatt E. A review of mobile apps for epilepsy self-management. Epilepsy & Behavior 2018;81:62 View
  30. Laing S, Sterling R, Ocampo C. Physical Activity Support Predicts Safety-Net Patients’ Digital Health-Care Engagement: Implications for Patient Care Delivery. American Journal of Health Promotion 2020;34(3):311 View
  31. 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
  32. 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
  33. Morais Pereira Simões M, de Barros Gonze B, Leite Proença N, Tonon Lauria V, Demarchi Silva Terra V, da Costa Padovani R, Zuniga Dourado V. Use of a smartphone app combined with gamification to increase the level of physical activity of adults and older adults: protocol of a sequential multiple assignment randomized trial. Trials 2019;20(1) View
  34. Carter S, Green J, Speed E. Digital technologies and the biomedicalisation of everyday activities: The case of walking and cycling. Sociology Compass 2018;12(4) View
  35. JungHwanCho , 오정화 , 정해권 , 송금주 . Current Mobile App Contents and Technologies for Physical Activity Promoting Intervention. The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science 2016;18(1):1 View
  36. 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 View
  37. Mariani A, Pêgo-Fernandes P. Smartphones and health promotion. Sao Paulo Medical Journal 2014;132(5):259 View
  38. Hekler E, Tiro J, Hunter C, Nebeker C. Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision. Annals of Behavioral Medicine 2020;54(11):805 View
  39. 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 View
  40. Robin N, Toussaint L, Sinnapah S, Hue O, Coudevylle G. Beneficial Influence of Mindfulness Training Promoted by Text Messages on Self-Reported Aerobic Physical Activity in Older Adults: A Randomized Controlled Study. Journal of Aging and Physical Activity 2020;28(3):406 View
  41. Albright C, Steffen A, Wilkens L, White K, Novotny R, Nigg C, Saiki K, Brown W. Effectiveness of a 12-month randomized clinical trial to increase physical activity in multiethnic postpartum women: Results from Hawaii's Nā Mikimiki Project. Preventive Medicine 2014;69:214 View
  42. Barkley J, Lepp A, Salehi-Esfahani S. College Students’ Mobile Telephone Use Is Positively Associated With Sedentary Behavior. American Journal of Lifestyle Medicine 2016;10(6):437 View
  43. Cabrita M, Tabak M, Vollenbroek-Hutten M. Older Adults’ Attitudes Toward Ambulatory Technology to Support Monitoring and Coaching of Healthy Behaviors: Qualitative Study. JMIR Aging 2019;2(1):e10476 View
  44. 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
  45. 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
  46. Yang Y, Wang C, Wang J, Lin C, Yang Y, Wang J, Yang Y, 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 View
  47. Yen H, Chiu H. The effectiveness of wearable technologies as physical activity interventions in weight control: A systematic review and meta‐analysis of randomized controlled trials. Obesity Reviews 2019;20(10):1485 View
  48. Bardus M, Blake H, Lloyd S, Suzanne Suggs L. Reasons for participating and not participating in a e-health workplace physical activity intervention. International Journal of Workplace Health Management 2014;7(4):229 View
  49. Mollee J, Middelweerd A, Kurvers R, Klein M. What technological features are used in smartphone apps that promote physical activity? A review and content analysis. Personal and Ubiquitous Computing 2017;21(4):633 View
  50. Ernsting C, Dombrowski S, Oedekoven M, O´Sullivan J, Kanzler M, Kuhlmey A, Gellert P. Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey. Journal of Medical Internet Research 2017;19(4):e101 View
  51. Lin J, Wurst R, Paganini S, Hohberg V, Kinkel S, Göhner W, Ramsenthaler C, Fuchs R. A group- and smartphone-based psychological intervention to increase and maintain physical activity in patients with musculoskeletal conditions: study protocol for a randomized controlled trial (“MoVo-App”). Trials 2020;21(1) View
  52. Simons D, De Bourdeaudhuij I, Clarys P, De Cocker K, Vandelanotte C, Deforche B. Effect and Process Evaluation of a Smartphone App to Promote an Active Lifestyle in Lower Educated Working Young Adults: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(8):e10003 View
  53. Braciszewski J, Tzilos Wernette G, Moore R, Tran T, Bock B, Stout R, Chamberlain P, Vose-O’Neal A. Developing a tailored substance use intervention for youth exiting foster care. Child Abuse & Neglect 2018;77:211 View
  54. Mayer D, Landucci G, Awoyinka L, Atwood A, Carmack C, Demark-Wahnefried W, McTavish F, Gustafson D. SurvivorCHESS to increase physical activity in colon cancer survivors: can we get them moving?. Journal of Cancer Survivorship 2018;12(1):82 View
  55. Bryant Howren M, Van Liew J, Christensen A. Advances in Patient Adherence to Medical Treatment Regimens: The Emerging Role of Technology in Adherence Monitoring and Management. Social and Personality Psychology Compass 2013;7(7):427 View
  56. Low C, Danko M, Durica K, Kunta A, Mulukutla R, Ren Y, Bartlett D, Bovbjerg D, Dey A, Jakicic J. A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study. JMIR Perioperative Medicine 2020;3(1):e17292 View
  57. Wang A, An N, Lu X, Chen H, Li C, Levkoff S. A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life. JMIR mhealth and uhealth 2014;2(1):e6 View
  58. Cowan S. My Physio App: better communication, understanding and results. British Journal of Sports Medicine 2016;50(21):1348 View
  59. 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 View
  60. Horner G, 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 View
  61. Kim J, Chen S, Hwang S. Effectiveness of Web-based physical activity interventions for older adults: A systematic review of randomized controlled trials. INTERNATIONAL JOURNAL OF HUMAN MOVEMENT SCIENCE 2018;12(2):69 View
  62. Lepp A, Barkley J, Li J. Motivations and Experiential Outcomes Associated with Leisure Time Cell Phone Use: Results from Two Independent Studies. Leisure Sciences 2017;39(2):144 View
  63. Palacios J, Lee G, Duaso M, Clifton A, Norman I, Richards D, Barley E. Internet-Delivered Self-management Support for Improving Coronary Heart Disease and Self-management–Related Outcomes. Journal of Cardiovascular Nursing 2017;32(4):E9 View
  64. Bice M, Hollman A, Bickford S, Bickford N, Ball J, Wiedenman E, Brown G, Dinkel D, Adkins M. Kinesiology in 360 Degrees. International Journal of Kinesiology in Higher Education 2017;1(1):9 View
  65. Lee D, Frey G, Min A, Kim B, Cothran D, Bellini S, Han K, Shih P. Usability inquiry of a gamified behavior change app for increasing physical activity and reducing sedentary behavior in adults with and without autism spectrum disorder. Health Informatics Journal 2020;26(4):2992 View
  66. Orr J, King R. Mobile phone SMS messages can enhance healthy behaviour: a meta-analysis of randomised controlled trials. Health Psychology Review 2015;9(4):397 View
  67. Marcolino M, Oliveira J, D'Agostino M, Ribeiro A, Alkmim M, Novillo-Ortiz D. The Impact of mHealth Interventions: Systematic Review of Systematic Reviews. JMIR mHealth and uHealth 2018;6(1):e23 View
  68. Bosak K, Park S. Characteristics of Adults Seeking Health Care Provider Support Facilitated by Mobile Technology: Secondary Data Analysis. JMIR Human Factors 2017;4(4):e33 View
  69. Phillips S, Conroy D, Keadle S, Pellegrini C, Lloyd G, Penedo F, Spring B. Breast cancer survivors’ preferences for technology-supported exercise interventions. Supportive Care in Cancer 2017;25(10):3243 View
  70. Müller A, Alley S, Schoeppe S, Vandelanotte C. The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  71. 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 View
  72. Antoine Parker C, Ellis R. Effect of Electronic Messaging on Physical Activity Participation among Older Adults. Journal of Aging Research 2016;2016:1 View
  73. Stoyanov S, Hides L, Kavanagh D, Wilson H. Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS). JMIR mHealth and uHealth 2016;4(2):e72 View
  74. Bakker D, Kazantzis N, Rickwood D, Rickard N. Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments. JMIR Mental Health 2016;3(1):e7 View
  75. Robin N, Toussaint L, Coudevylle G, Ruart S, Hue O, Sinnapah S. Text Messages Promoting Mental Imagery Increase Self-Reported Physical Activity in Older Adults: A Randomized Controlled Study. Journal of Aging and Physical Activity 2018;26(3):462 View
  76. Smith B, Owen A, Liew D, Kelly D, Reid C. Prescription of physical activity in the management of high blood pressure in Australian general practices. Journal of Human Hypertension 2019;33(1):50 View
  77. Bhattacharjya S, Stafford M, Cavuoto L, Yang Z, Song C, Subryan H, Xu W, Langan J. Harnessing smartphone technology and three dimensional printing to create a mobile rehabilitation system, mRehab: assessment of usability and consistency in measurement. Journal of NeuroEngineering and Rehabilitation 2019;16(1) View
  78. Monteiro-Guerra F, Rivera-Romero O, Fernandez-Luque L, Caulfield B. Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review. IEEE Journal of Biomedical and Health Informatics 2020;24(6):1738 View
  79. Lyzwinski L. A Systematic Review and Meta-Analysis of Mobile Devices and Weight Loss with an Intervention Content Analysis. Journal of Personalized Medicine 2014;4(3):311 View
  80. Eckerstorfer L, Tanzer N, 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 View
  81. Buckingham S, Williams A, Morrissey K, Price L, Harrison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review. DIGITAL HEALTH 2019;5:205520761983988 View
  82. Antypas K, Wangberg S. An Internet- and Mobile-Based Tailored Intervention to Enhance Maintenance of Physical Activity After Cardiac Rehabilitation: Short-Term Results of a Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(3):e77 View
  83. Meyer J. Technologies for Wellbeing and Healthy Living. International Journal of Handheld Computing Research 2014;5(1):30 View
  84. Park J, Lee G, Shin S, Kim J, Han H, Kwon T, Kim W, Lee J. Lessons Learned from the Development of Health Applications in a Tertiary Hospital. Telemedicine and e-Health 2014;20(3):215 View
  85. 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
  86. Blackman K, Zoellner J, Kadir A, Dockery B, Johnson S, Almeida F, McCrickard D, Hill J, You W, Estabrooks P. Examining the Feasibility of Smartphone Game Applications for Physical Activity Promotion in Middle School Students. Games for Health Journal 2015;4(5):409 View
  87. Chu A, Ng S, Paknezhad M, Gauterin A, Koh D, Brown M, Müller-Riemenschneider F, Buchowski M. Comparison of wrist-worn Fitbit Flex and waist-worn ActiGraph for measuring steps in free-living adults. PLOS ONE 2017;12(2):e0172535 View
  88. Donaire-Gonzalez D, de Nazelle A, Seto E, Mendez M, Nieuwenhuijsen M, Jerrett M. Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph. Journal of Medical Internet Research 2013;15(6):e111 View
  89. Ivanova E, Lindner P, Ly K, Dahlin M, Vernmark K, Andersson G, Carlbring P. Guided and unguided Acceptance and Commitment Therapy for social anxiety disorder and/or panic disorder provided via the Internet and a smartphone application: A randomized controlled trial. Journal of Anxiety Disorders 2016;44:27 View
  90. Bol N, Høie N, Nguyen M, Smit E. Customization in mobile health apps: explaining effects on physical activity intentions by the need for autonomy. DIGITAL HEALTH 2019;5:205520761988807 View
  91. Lizandra J, Devís‐Devís J, Valencia‐Peris A, Tomás J, Peiró‐Velert C. Screen time and moderate‐to‐vigorous physical activity changes and displacement in adolescence: A prospective cohort study. European Journal of Sport Science 2019;19(5):686 View
  92. Smith D, Duque L, Huffman J, Healy B, Celano C. Text Message Interventions for Physical Activity: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2020;58(1):142 View
  93. Majrashi K, Borsci S. User need and experience of Hajj mobile and ubiquitous systems: Designing for the largest religious annual gathering. Cogent Engineering 2018;5(1):1480303 View
  94. Lee K, Kim H, Lee S, Ha H. Changes in Weight and Health-Related Behavior Using Smartphone Applications in Patients With Colorectal Polyps. Journal of Nutrition Education and Behavior 2019;51(5):539 View
  95. de Korte E, Wiezer N, Janssen J, Vink P, Kraaij W. Evaluating an mHealth App for Health and Well-Being at Work: Mixed-Method Qualitative Study. JMIR mHealth and uHealth 2018;6(3):e72 View
  96. Adams T, Taricani E, Pitasi A. The technological convergence innovation. International Review of Sociology 2018;28(3):403 View
  97. Vos S, Janssen M, Goudsmit J, Lauwerijssen C, Brombacher A. From Problem to Solution: Developing a Personalized Smartphone Application for Recreational Runners following a Three-step Design Approach. Procedia Engineering 2016;147:799 View
  98. Dallinga J, Mennes M, Alpay L, Bijwaard H, Baart de la Faille-Deutekom M. App use, physical activity and healthy lifestyle: a cross sectional study. BMC Public Health 2015;15(1) View
  99. Yang Q, Van Stee S. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244 View
  100. Smith B, Cinnadaio N, Cheung N, Bauman A, Tapsell L, van der Ploeg H. Investigation of a lifestyle change strategy for high-risk women with a history of gestational diabetes. Diabetes Research and Clinical Practice 2014;106(3):e60 View
  101. Lewis B, Napolitano M, Buman M, Williams D, Nigg C. Future directions in physical activity intervention research: expanding our focus to sedentary behaviors, technology, and dissemination. Journal of Behavioral Medicine 2017;40(1):112 View
  102. Kao C, Liebovitz D. Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. PM&R 2017;9(5S) View
  103. Downs D, Smyth J, Heron K, Feinberg M, Hillemeier M, Materia F. Beliefs About Using Smartphones for Health Behavior Change: an Elicitation Study with Overweight and Obese Rural Women. Journal of Technology in Behavioral Science 2019;4(1):33 View
  104. Juarascio A, Goldstein S, Manasse S, Forman E, Butryn M. Perceptions of the feasibility and acceptability of a smartphone application for the treatment of binge eating disorders: Qualitative feedback from a user population and clinicians. International Journal of Medical Informatics 2015;84(10):808 View
  105. Klenk S, Reifegerste D, Renatus R. Gender differences in gratifications from fitness app use and implications for health interventions. Mobile Media & Communication 2017;5(2):178 View
  106. Antypas K, Wangberg S. Combining Users’ Needs With Health Behavior Models in Designing an Internet- and Mobile-Based Intervention for Physical Activity in Cardiac Rehabilitation. JMIR Research Protocols 2014;3(1):e4 View
  107. 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
  108. Hassandra M, Lintunen T, Hagger M, Heikkinen R, Vanhala M, Kettunen T. An mHealth App for Supporting Quitters to Manage Cigarette Cravings With Short Bouts of Physical Activity: A Randomized Pilot Feasibility and Acceptability Study. JMIR mHealth and uHealth 2017;5(5):e74 View
  109. Staffileno B, Zschunke J, Weber M, Gross L, Fogg L, Tangney C. The Feasibility of Using Facebook, Craigslist, and Other Online Strategies to Recruit Young African American Women for a Web-Based Healthy Lifestyle Behavior Change Intervention. Journal of Cardiovascular Nursing 2017;32(4):365 View
  110. Keränen N, Kangas M, Immonen M, Similä H, Enwald H, Korpelainen R, Jämsä T. Use of Information and Communication Technologies Among Older People With and Without Frailty: A Population-Based Survey. Journal of Medical Internet Research 2017;19(2):e29 View
  111. Sullivan J, Irrgang J, Losina E, Safran-Norton C, Collins J, Shrestha S, Selzer F, Bennell K, Bisson L, Chen A, Dawson C, Gil A, Jones M, Kluczynski M, Lafferty K, Lange J, Lape E, Leddy J, Mares A, Spindler K, Turczyk J, Katz J. 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) View
  112. Choi H, Van Riper M. mHealth Family Adaptation Intervention for Families of Young Children with Down Syndrome: A Feasibility Study. Journal of Pediatric Nursing 2020;50:e69 View
  113. Zsila Á, Orosz G, Bőthe B, Tóth-Király I, Király O, Griffiths M, Demetrovics Z. An empirical study on the motivations underlying augmented reality games: The case of Pokémon Go during and after Pokémon fever. Personality and Individual Differences 2018;133:56 View
  114. 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
  115. Frei A, Dalla Lana K, Radtke T, Stone E, Knöpfli N, Puhan M. A novel approach to increase physical activity in older adults in the community using citizen science: a mixed-methods study. International Journal of Public Health 2019;64(5):669 View
  116. O’Neil A, Cocker F, Rarau P, Baptista S, Cassimatis M, Barr Taylor C, Lau A, Kanuri N, Oldenburg B. Using digital interventions to improve the cardiometabolic health of populations: a meta-review of reporting quality. Journal of the American Medical Informatics Association 2017;24(4):867 View
  117. Knight E, Stuckey M, Petrella R. Health Promotion Through Primary Care: Enhancing Self-Management With Activity Prescription and mHealth. The Physician and Sportsmedicine 2014;42(3):90 View
  118. Robin N, Laurent J, Ruart S. Influence des messages électroniques sur l’activité physique aérobie personnelle et les performances en éducation physique et sportive. Ejournal de la recherche sur l'intervention en éducation physique et sport -eJRIEPS 2018;(43) View
  119. Stuber J, Mackenbach J, de Boer F, de Bruijn G, Gillebaart M, Harbers M, Hoenink J, Klein M, Middel C, van der Schouw Y, Schuitmaker-Warnaar T, Velema E, Vos A, Waterlander W, Lakerveld J, Beulens J. Reducing cardiometabolic risk in adults with a low socioeconomic position: protocol of the Supreme Nudge parallel cluster-randomised controlled supermarket trial. Nutrition Journal 2020;19(1) View
  120. Nam J, Kim H. How assistive devices affect activities of daily living and cognitive functions of people with brain injury: a meta-analysis. Disability and Rehabilitation: Assistive Technology 2018;13(3):305 View
  121. Paul L, Wyke S, Brewster S, Sattar N, Gill J, Alexander G, Rafferty D, McFadyen A, Ramsay A, Dybus A. Increasing physical activity in stroke survivors using STARFISH, an interactive mobile phone application: a pilot study. Topics in Stroke Rehabilitation 2016;23(3):170 View
  122. Liu Y, Kashian N. Sharing Workout Experiences on Social Networking Sites: Its Moderating Factors and Well-Being Outcomes. Health Communication 2021;36(11):1309 View
  123. Fjeldsoe B, Phongsavan P, Bauman A, Goode A, Maher G, Eakin E. ‘Get Healthy, Stay Healthy’: protocol for evaluation of a lifestyle intervention delivered by text-message following the Get Healthy Information and Coaching Service®. BMC Public Health 2014;14(1) View
  124. Newton Jr R, Marker A, Allen H, Machtmes R, Han H, Johnson W, Schuna Jr J, Broyles S, Tudor-Locke C, Church T. Parent-Targeted Mobile Phone Intervention to Increase Physical Activity in Sedentary Children: Randomized Pilot Trial. JMIR mHealth and uHealth 2014;2(4):e48 View
  125. Michard F, Gan T, Kehlet H. Digital innovations and emerging technologies for enhanced recovery programmes. British Journal of Anaesthesia 2017;119(1):31 View
  126. Braumüller B. Sportbezogenes Handeln in virtuellen sozialen Netzwerken. German Journal of Exercise and Sport Research 2018;48(1):79 View
  127. Bice M, Ball J, McClaran S. Technology and physical activity motivation. International Journal of Sport and Exercise Psychology 2016;14(4):295 View
  128. 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
  129. Liukkonen M, Nygård C, Laukkanen R. A Cluster Randomized Controlled Trial on the Effects of Technology-aided Testing and Feedback on Physical Activity and Biological Age Among Employees in a Medium-sized Enterprise. Safety and Health at Work 2017;8(4):393 View
  130. Mira J. Tecnologías móviles e inalámbricas para cuidar nuestra salud. Journal of Healthcare Quality Research 2018;33(4):183 View
  131. Devi R, Powell J, Singh S. A Web-Based Program Improves Physical Activity Outcomes in a Primary Care Angina Population: Randomized Controlled Trial. Journal of Medical Internet Research 2014;16(9):e186 View
  132. Tong H, Laranjo L. The use of social features in mobile health interventions to promote physical activity: a systematic review. npj Digital Medicine 2018;1(1) View
  133. 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 View
  134. 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
  135. Thakkar J, Redfern J, Thiagalingam A, Chow C. 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 View
  136. Angellotti E, Wong J, Pierce A, Hescott B, Pittas A. Combining Wireless Technology and Behavioral Economics to Engage Patients (WiBEEP) with cardiometabolic disease: a pilot study. Pilot and Feasibility Studies 2019;5(1) View
  137. 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 View
  138. 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
  139. Tabak M, Dekker-van Weering M, van Dijk H, Vollenbroek-Hutten M. Promoting Daily Physical Activity by Means of Mobile Gaming: A Review of the State of the Art. Games for Health Journal 2015;4(6):460 View
  140. Fong S, Ng S, Cheng Y, Zhang J, Chung L, Chow G, Chak Y, Chan I, Macfarlane D. Comparison between smartphone pedometer applications and traditional pedometers for improving physical activity and body mass index in community-dwelling older adults. Journal of Physical Therapy Science 2016;28(5):1651 View
  141. Plow M, Golding M. Using mHealth Technology in a Self-Management Intervention to Promote Physical Activity Among Adults With Chronic Disabling Conditions: Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e185 View
  142. Chan N, Walker C, Gleaves A. An exploration of students' lived experiences of using smartphones in diverse learning contexts using a hermeneutic phenomenological approach. Computers & Education 2015;82:96 View
  143. Oldenburg B, Taylor C, O'Neil A, Cocker F, Cameron L. Using New Technologies to Improve the Prevention and Management of Chronic Conditions in Populations. Annual Review of Public Health 2015;36(1):483 View
  144. Gonze B, Padovani R, Simoes M, Lauria V, Proença N, Sperandio E, Ostolin T, Gomes G, Castro P, Romiti M, Gagliardi A, Arantes R, Dourado V. Use of a Smartphone App to Increase Physical Activity Levels in Insufficiently Active Adults: Feasibility Sequential Multiple Assignment Randomized Trial (SMART). JMIR Research Protocols 2020;9(10):e14322 View
  145. Buchholz S, Sandi G, Ingram D, Welch M, Ocampo E. Bilingual Text Messaging Translation: Translating Text Messages From English Into Spanish for the Text4Walking Program. JMIR Research Protocols 2015;4(2):e51 View
  146. Chrisman M, Chow W, Daniel C, Wu X, Zhao H. Mobile Phone Use and its Association With Sitting Time and Meeting Physical Activity Recommendations in a Mexican American Cohort. JMIR mHealth and uHealth 2016;4(2):e54 View
  147. Grimaldi-Puyana M, Fernández-Batanero J, Fennell C, Sañudo B. Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2020;17(10):3499 View
  148. Nurmi J, Knittle K, Ginchev T, Khattak F, Helf C, Zwickl P, Castellano-Tejedor C, Lusilla-Palacios P, Costa-Requena J, Ravaja N, Haukkala A. Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App. JMIR mHealth and uHealth 2020;8(1):e12884 View
  149. Tavares B, Pires I, Marques G, Garcia N, Zdravevski E, Lameski P, Trajkovik V, Jevremovic A. Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Information 2020;11(7):343 View
  150. Lepp A, Barkley J. Cell phone use predicts being an “active couch potato”: results from a cross-sectional survey of sufficiently active college students. DIGITAL HEALTH 2019;5:205520761984487 View
  151. Phillips S, Collins L, Penedo F, Courneya K, Welch W, Cottrell A, Lloyd G, Gavin K, Cella D, Ackermann R, Siddique J, Spring B. Optimization of a technology-supported physical activity intervention for breast cancer survivors: Fit2Thrive study protocol. Contemporary Clinical Trials 2018;66:9 View
  152. Sun L, Wang Y, Greene B, Xiao Q, Jiao C, Ji M, Wu Y. Facilitators and barriers to using physical activity smartphone apps among Chinese patients with chronic diseases. BMC Medical Informatics and Decision Making 2017;17(1) View
  153. Hooglugt F, Ludden G. A Mobile App Adopting an Identity Focus to Promote Physical Activity (MoveDaily): Iterative Design Study. JMIR mHealth and uHealth 2020;8(6):e16720 View
  154. Stühmann L, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396 View
  155. Ball K, Carver A, Downing K, Jackson M, O'Rourke K. Addressing the social determinants of inequities in physical activity and sedentary behaviours. Health Promotion International 2015;30(suppl 2):ii8 View
  156. 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
  157. Bol N, Helberger N, Weert J. Differences in mobile health app use: A source of new digital inequalities?. The Information Society 2018;34(3):183 View
  158. Forberger S, Bammann K, Bauer J, Boll S, Bolte G, Brand T, Hein A, Koppelin F, Lippke S, Meyer J, Pischke C, Voelcker-Rehage C, Zeeb H. How to Tackle Key Challenges in the Promotion of Physical Activity among Older Adults (65+): The AEQUIPA Network Approach. International Journal of Environmental Research and Public Health 2017;14(4):379 View
  159. Hebden L, Cook A, van der Ploeg H, 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 View
  160. Lee A, Chavez S, Bian J, Thompson L, Gurka M, Williamson V, Modave F. Efficacy and Effectiveness of Mobile Health Technologies for Facilitating Physical Activity in Adolescents: Scoping Review. JMIR mHealth and uHealth 2019;7(2):e11847 View
  161. Paul L, Campbell E, Gray C, Brewster S, Ramsay A, Gill J, McFadyen A, Dybus A. Increasing physical activity in stroke survivors using STARFISH, an interactive smartphone application: Protocol for a randomised controlled trial. Technology and Disability 2018;30(1-2):77 View
  162. Buchholz S, Ingram D, Wilbur J, Pelt P. Using Photos to Develop Text Messages to Promote Walking. Journal of Nursing Scholarship 2013;45(4):380 View
  163. Mora-Gonzalez J, Pérez-López I, Delgado-Fernández M. The “$in TIME” Gamification Project: Using a Mobile App to Improve Cardiorespiratory Fitness Levels of College Students. Games for Health Journal 2020;9(1):37 View
  164. 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
  165. Kiss N, Baguley B, Ball K, Daly R, Fraser S, Granger C, Ugalde A. Technology-Supported Self-Guided Nutrition and Physical Activity Interventions for Adults With Cancer: Systematic Review. JMIR mHealth and uHealth 2019;7(2):e12281 View
  166. Barkley J, Lepp A, Glickman E. “Pokémon Go!” May Promote Walking, Discourage Sedentary Behavior in College Students. Games for Health Journal 2017;6(3):165 View
  167. 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 View
  168. 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
  169. Fanning J, Roberts S, Hillman C, Mullen S, Ritterband L, McAuley E. A smartphone “app”-delivered randomized factorial trial targeting physical activity in adults. Journal of Behavioral Medicine 2017;40(5):712 View
  170. Dominick G, Winfree K, Pohlig R, Papas M. Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions. JMIR mHealth and uHealth 2016;4(3):e110 View
  171. Caldieraro-Bentley A, Kelechi T, Treat-Jacobson D, Mueller M. Challenges in recruitment of persons with peripheral artery disease for exercise studies. Journal of Vascular Nursing 2018;36(3):111 View
  172. Lim J, Noh G. Effects of gain-versus loss-framed performance feedback on the use of fitness apps: Mediating role of exercise self-efficacy and outcome expectations of exercise. Computers in Human Behavior 2017;77:249 View
  173. Hong Y, Forjuoh S, Ory M, Reis M, Sang H. A Multi-Level, Mobile-Enabled Intervention to Promote Physical Activity in Older Adults in the Primary Care Setting (iCanFit 2.0): Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols 2017;6(9):e183 View
  174. 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
  175. McEwan D, Harden S, Zumbo B, Sylvester B, Kaulius M, Ruissen G, Dowd A, Beauchamp M. The effectiveness of multi-component goal setting interventions for changing physical activity behaviour: a systematic review and meta-analysis. Health Psychology Review 2016;10(1):67 View
  176. Schoeppe S, Alley S, Van Lippevelde W, Bray N, Williams S, Duncan M, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  177. 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
  178. Colgan J, Bopp M, Starkoff B, Lieberman L. Fitness Wearables and Youths with Visual Impairments: Implications for Practice and Application. Journal of Visual Impairment & Blindness 2016;110(5):335 View
  179. Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51 View
  180. Larsen B, Benitez T, Mendoza-Vasconez A, Hartman S, Linke S, Pekmezi D, Dunsiger S, Nodora J, Gans K, Marcus B. Randomized Trial of a Physical Activity Intervention for Latino Men: Activo. American Journal of Preventive Medicine 2020;59(2):219 View
  181. Hong Y, Goldberg D, Ory M, Towne Jr S, Forjuoh S, Kellstedt D, Wang S. Efficacy of a Mobile-Enabled Web App (iCanFit) in Promoting Physical Activity Among Older Cancer Survivors: A Pilot Study. JMIR Cancer 2015;1(1):e7 View
  182. Choo S, Kim J, Jung S, Kim S, Kim J, Han J, Kim S, Kim J, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24 View
  183. Liu H, Lee W, Sun Y, Fen J, Chen T, Chou L, Hwang S. Hospital-Owned Apps in Taiwan: Nationwide Survey. JMIR mHealth and uHealth 2018;6(1):e22 View
  184. Bice M, Ball J, Hollman A, Adkins M. Health Technology Use: Implications for Physical Activity Behaviors Among College Students. International Journal of Kinesiology in Higher Education 2019;3(1):23 View
  185. Burns R, Pfledderer C, Brusseau T. Active Transport, Not Device Use, Associates with Self-Reported School Week Physical Activity in Adolescents. Behavioral Sciences 2019;9(3):32 View
  186. UMUTLU G, ACAR N, AKKOYUNLU Y. Evaluation of Health-Related Physical Fitness Profiles of Turkish Students in Urban and Rural School Districts. International Journal of Disabilities Sports and Health Sciences 2018;1(1):29 View
  187. White B, Burns S, Giglia R, Scott J. Designing evaluation plans for health promotion mHealth interventions: a case study of the Milk Man mobile app. Health Promotion Journal of Australia 2016;27(3):198 View
  188. Andersson A, Winslott Hiselius L, Adell E. Promoting sustainable travel behaviour through the use of smartphone applications: A review and development of a conceptual model. Travel Behaviour and Society 2018;11:52 View
  189. Tabak M, op den Akker H, Hermens H. Motivational cues as real-time feedback for changing daily activity behavior of patients with COPD. Patient Education and Counseling 2014;94(3):372 View
  190. Walsh J, Corbett T, Hogan M, Duggan J, McNamara A. An mHealth Intervention Using a Smartphone App to Increase Walking Behavior in Young Adults: A Pilot Study. JMIR mHealth and uHealth 2016;4(3):e109 View
  191. Faria G, Polese J, Ribeiro-Samora G, Scianni A, Faria C, Teixeira-Salmela L. Validity of the accelerometer and smartphone application in estimating energy expenditure in individuals with chronic stroke. Brazilian Journal of Physical Therapy 2019;23(3):236 View
  192. Duff O, Walsh D, Malone S, McDermott L, Furlong B, O'Connor N, Moran K, Woods C. MedFit App, a Behavior-Changing, Theoretically Informed Mobile App for Patient Self-Management of Cardiovascular Disease: User-Centered Development. JMIR Formative Research 2018;2(1):e8 View
  193. Mistry C, Sweet S, Rhodes R, Latimer-Cheung A. Text2Plan: Exploring changes in the quantity and quality of action plans and physical activity in a text messaging intervention. Psychology & Health 2015;30(7):839 View
  194. Perle J, Hommel K. A Proposed Parent Management Training-Focused Smartphone App: How mHealth Can Foster Improved Inter-session Adherence and Behavioral Monitoring. Journal of Technology in Behavioral Science 2017;2(1):49 View
  195. König L, Sproesser G, Schupp H, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55 View
  196. Davergne T, Pallot A, Dechartres A, Fautrel B, Gossec L. Use of Wearable Activity Trackers to Improve Physical Activity Behavior in Patients With Rheumatic and Musculoskeletal Diseases: A Systematic Review and Meta‐Analysis. Arthritis Care & Research 2019;71(6):758 View
  197. Flores M, Glusman G, Brogaard K, Price N, Hood L. P4 Medicine: How Systems Medicine Will Transform the Healthcare Sector and Society. Personalized Medicine 2013;10(6):565 View
  198. 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
  199. 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
  200. Wright K. Social Networks, Interpersonal Social Support, and Health Outcomes: A Health Communication Perspective. Frontiers in Communication 2016;1 View
  201. Fanning J, Porter G, Awick E, Ehlers D, Roberts S, Cooke G, Burzynska A, Voss M, Kramer A, McAuley E. Replacing sedentary time with sleep, light, or moderate-to-vigorous physical activity: effects on self-regulation and executive functioning. Journal of Behavioral Medicine 2017;40(2):332 View
  202. Meyer J, Hein A. Live Long and Prosper: Potentials of Low-Cost Consumer Devices for the Prevention of Cardiovascular Diseases. Medicine 2.0 2013;2(2):e7 View
  203. Lindner P, Ivanova E, Ly K, Andersson G, Carlbring P. Guided and unguided CBT for social anxiety disorder and/or panic disorder via the Internet and a smartphone application: study protocol for a randomised controlled trial. Trials 2013;14(1) View
  204. 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
  205. Higgins J. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11 View
  206. Saffari M, Ghanizadeh G, Koenig H. Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis. Primary Care Diabetes 2014;8(4):275 View
  207. Lepp A, Barkley J, Sanders G, Rebold M, Gates P. The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students. International Journal of Behavioral Nutrition and Physical Activity 2013;10(1):79 View
  208. Lynch E, Borschmann K, Callisaya M, Fini N, Janssen H, Johnson L, Jones T, Kramer S, Kuys S, Mahendran N, Simpson D, English C. Activity monitors for increasing physical activity in adult stroke survivors. Cochrane Database of Systematic Reviews 2017 View
  209. Almeida F, Smith-Ray R, Dzewaltowski D, Glasgow R, Lee R, Thomas D, Xu S, Estabrooks P. An Interactive Computer Session to Initiate Physical Activity in Sedentary Cardiac Patients: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(8):e206 View
  210. Janssen M, Scheerder J, Thibaut E, Brombacher A, Vos S, Guilhem G. Who uses running apps and sports watches? Determinants and consumer profiles of event runners’ usage of running-related smartphone applications and sports watches. PLOS ONE 2017;12(7):e0181167 View
  211. Ng K, Badura P, Dzielska A, Kokko S, Woods C, Hamrik Z. Test-retest reliability of survey items on ownership and use of physical activity trackers. Acta Gymnica 2019;49(2):67 View
  212. 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
  213. Monteiro-Guerra F, Signorelli G, Tadas S, Dorronzoro Zubiete E, Rivera Romero O, Fernandez-Luque L, Caulfield B. A Personalized Physical Activity Coaching App for Breast Cancer Survivors: Design Process and Early Prototype Testing. JMIR mHealth and uHealth 2020;8(7):e17552 View
  214. Abrantes A, Blevins C, Lindsay C, Battle C, Buman M, Agu E, Stein M. Formative work in the development of a physical activity smartphone app targeted for patients with alcohol use disorders. Psychology of Sport and Exercise 2019;41:162 View
  215. Buckingham S, Morrissey K, Williams A, Price L, Harrison J. The Physical Activity Wearables in the Police Force (PAW-Force) study: acceptability and impact. BMC Public Health 2020;20(1) View
  216. Demers M, Winstein C. A perspective on the use of ecological momentary assessment and intervention to promote stroke recovery and rehabilitation. Topics in Stroke Rehabilitation 2021;28(8):594 View
  217. Wang Y, Collins W. Systematic evaluation of mobile fitness apps: Apps as the Tutor, Recorder, Game Companion, and Cheerleader. Telematics and Informatics 2021;59:101552 View
  218. D'Addario M, Baretta D, Zanatta F, Greco A, Steca P. Engagement Features in Physical Activity Smartphone Apps: Focus Group Study With Sedentary People. JMIR mHealth and uHealth 2020;8(11):e20460 View
  219. Laranjo L, Ding D, Heleno B, Kocaballi B, Quiroz J, Tong H, Chahwan B, Neves A, Gabarron E, Dao K, Rodrigues D, Neves G, Antunes M, Coiera E, Bates D. Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression. British Journal of Sports Medicine 2021;55(8):422 View
  220. van Leer E, Lewis B, Porcaro N. Effect of an iOS App on Voice Therapy Adherence and Motivation. American Journal of Speech-Language Pathology 2021;30(1):210 View
  221. Lau D, McAlister F. Implications of the COVID-19 Pandemic for Cardiovascular Disease and Risk-Factor Management. Canadian Journal of Cardiology 2021;37(5):722 View
  222. Vega-Ramírez L, Notario R, Ávalos-Ramos M. The Relevance of Mobile Applications in the Learning of Physical Education. Education Sciences 2020;10(11):329 View
  223. Heales L, Randall S, Vicenzino B, Coombes B, Obst S. An evidence-based evaluation of mobile health apps for the management of individuals with lateral elbow tendinopathy using a systematic review framework. Physical Therapy Reviews 2021;26(4):243 View
  224. Davis A, Sweigart R, Ellis R. A systematic review of tailored mHealth interventions for physical activity promotion among adults. Translational Behavioral Medicine 2020;10(5):1221 View
  225. Gans K, Dulin A, Palomo V, Benitez T, Dunsiger S, Dionne L, Champion G, Edgar R, Marcus B. A Tailored Web- and Text-Based Intervention to Increase Physical Activity for Latino Men: Protocol for a Randomized Controlled Feasibility Trial. JMIR Research Protocols 2021;10(1):e23690 View
  226. Wiemeyer J. Evaluation of mobile applications for fitness training and physical activity in healthy low-trained people - A modular interdisciplinary framework. International Journal of Computer Science in Sport 2019;18(3):12 View
  227. Ng K, Steegers-Theunissen R, Willemsen S, Wellstead S, Cheong Y, Macklon N. Smartphone-based lifestyle coaching modifies behaviours in women with subfertility or recurrent miscarriage: a randomized controlled trial. Reproductive BioMedicine Online 2021;43(1):111 View
  228. Tian Y, Li Y, Sun J, Ye J. Characterizing favored users of incentive-based traffic demand management program. Transport Policy 2021;105:94 View
  229. Green J, Huberty J, Puzia M, Stecher C. The Effect of Meditation and Physical Activity on the Mental Health Impact of COVID-19–Related Stress and Attention to News Among Mobile App Users in the United States: Cross-sectional Survey. JMIR Mental Health 2021;8(4):e28479 View
  230. Stewart M, Nezich T, Lee J, Hasson R, Colabianchi N. Using a Mobile Phone App to Analyze the Relationship Between Planned and Performed Physical Activity in University Students: Observational Study. JMIR mHealth and uHealth 2021;9(4):e17581 View
  231. Kim H, Lee C, Lee S, Chung K. Effect of Group Contingency Type on Walking: Comparisons of Effectiveness and Cost Efficiency. Frontiers in Psychology 2021;12 View
  232. Keadle S, Bustamante E, Buman M. Physical Activity and Public Health: Four Decades of Progress. Kinesiology Review 2021;10(3):319 View
  233. Esentürk O, Yarımkaya E. WhatsApp-Based Physical Activity Intervention for Children With Autism Spectrum Disorder During the Novel Coronavirus (COVID-19) Pandemic: A Feasibility Trial. Adapted Physical Activity Quarterly 2021;38(4):569 View
  234. Degroote L, De Paepe A, De Bourdeaudhuij I, Van Dyck D, Crombez G. Effectiveness of the mHealth intervention ‘MyDayPlan’ to increase physical activity: an aggregated single case approach. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  235. 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
  236. Smith B, Mackenzie-Stewart R, Newton F, Manera K, Haregu T, Bauman A, Donovan R, Mahal A, Ewing M, Newton J, Abdelbasset W. Twelve-month findings of the MOVE Frankston randomised controlled trial of interventions to increase recreation facility usage and physical activity among adults. PLOS ONE 2021;16(7):e0254216 View
  237. Farmer C, van den Berg M, Vuu S, Barr C. A study of the accuracy of the Fitbit Zip in measuring steps both indoors and outdoors in a mixed rehabilitation population. Clinical Rehabilitation 2022;36(1):125 View
  238. Braciszewski J. Digital Technology for Suicide Prevention. Advances in Psychiatry and Behavioral Health 2021;1(1):53 View
  239. Feigin V, Owolabi M, Hankey G, Pandian J, Martins S. Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review. Stroke 2022;53(3):1008 View
  240. Soulé B, Marchant G, Verchère R. Sport and fitness app uses: a review of humanities and social science perspectives. European Journal for Sport and Society 2022;19(2):170 View
  241. Western M, Armstrong M, Islam I, Morgan K, Jones U, Kelson M. The effectiveness of digital interventions for increasing physical activity in individuals of low socioeconomic status: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  242. Berli C, Scholz U. Long-Term and Transfer Effects of an Action Control Intervention in Overweight Couples: A Randomized Controlled Trial Using Text Messages. Frontiers in Psychology 2021;12 View
  243. Moore S, Boyne P, Fulk G, Verheyden G, Fini N. Walk the Talk: Current Evidence for Walking Recovery After Stroke, Future Pathways and a Mission for Research and Clinical Practice. Stroke 2022;53(11):3494 View
  244. Wang H, Zhou Y, Blake H, Chattopadhyay K. School-Based Physical Activity Intervention: A Qualitative Process Evaluation of a Feasibility Trial in Yangzhou, China. International Journal of Environmental Research and Public Health 2022;19(2):1021 View
  245. Reinhardt G, Timpel P, Schwarz P, Harst L. Long-Term Effects of a Video-Based Smartphone App (“VIDEA Bewegt”) to Increase the Physical Activity of German Adults: A Single-Armed Observational Follow-Up Study. Nutrients 2021;13(12):4215 View
  246. Soltero E, Lopez C, Musaad S, O'Connor T, Thompson D. Fit24, a digital health intervention to reduce type 2 diabetes risk among Hispanic youth: Protocol for a feasibility pilot study. Contemporary Clinical Trials 2023;127:107117 View
  247. De Santis K, Jahnel T, Matthias K, Mergenthal L, Al Khayyal H, Zeeb H. Evaluation of Digital Interventions for Physical Activity Promotion: Scoping Review. JMIR Public Health and Surveillance 2022;8(5):e37820 View
  248. Pérez-López I, Navarro-Mateos C, Mora-Gonzalez J. “STAR WARS: The first Jedi” Gamification Program: Use of a Mobile App to Improve Body Composition in College Students. Games for Health Journal 2022;11(5):321 View
  249. Kybartas T, Ferrara P, Coe D. Exploration of parental rewards in incentivizing children's physical activity. Applied Physiology, Nutrition, and Metabolism 2023;48(5):350 View
  250. Marcus B, Larsen B, Linke S, Hartman S, Pekmezi D, Benitez T, Sallis J, Mendoza-Vasconez A, Dunsiger S. Long-term physical activity outcomes in the Seamos Activas II trial. Preventive Medicine Reports 2021;24:101628 View
  251. Goh C, Wang N, Müller A, Yap R, Edney S, Müller-Riemenschneider F. Validation of Smartphones and Different Low-Cost Activity Trackers for Step Counting Under Free-Living Conditions. Journal for the Measurement of Physical Behaviour 2023:1 View
  252. Soulé B, Perrin C, Marchant G. La numérisation de l’activité physique et des loisirs corporels : enjeux individuels et sociaux du « sport connecté ». Loisir et Société / Society and Leisure 2022;45(3):454 View
  253. Makowsky M, Davachi S, Jones C. eHealth Literacy in a Sample of South Asian Adults in Edmonton, Alberta, Canada: Subanalysis of a 2014 Community-Based Survey. JMIR Formative Research 2022;6(3):e29955 View
  254. Sheon A, Van Winkle B, Solad Y, Atreja A. An Algorithm for Digital Medicine Testing: A NODE.Health Perspective Intended to Help Emerging Technology Companies and Healthcare Systems Navigate the Trial and Testing Period prior to Full-Scale Adoption. Digital Biomarkers 2018;2(3):139 View
  255. Q. Aldossari M, Nguyen Q, Ta A, Schulz S. System and Information Qualities in Mobile Fitness Apps and Their Effects on User Behavior and Performance. Information Systems Management 2023;40(3):270 View
  256. Yadav R, Yadav M, Mittal A. Effects of gain-loss-framed messages on virtual reality intervened fitness exercise. Information Discovery and Delivery 2022;50(4):374 View
  257. Lawrason S, Brown-Ganzert L, Campeau L, MacInnes M, Wilkins C, Martin Ginis K. mHealth Physical Activity Intervention for Individuals With Spinal Cord Injury: Planning and Development Processes. JMIR Formative Research 2022;6(8):e34303 View
  258. Moradi S, Alivand M, KhajeBishak Y, AsghariJafarabadi M, Alipour M, faghfouri A, Alipour B. The Effect of ω3 Fatty Acids Supplementation on Levels of PPARγ and UCP2 Genes Expression, Serum Level of UCP2 Protein, Metabolic Status, and Appetite in Elite male Athletes: Protocol for a Randomized Control Trial. International Journal of Surgery: Protocols 2021;25(1):184 View
  259. Qin Y, Wang X, Namkoong K. A meta-analysis of the overall effect of mHealth physical activity interventions for weight loss and the moderating effect of behavioral change theories, techniques, and mobile technologies. Mobile Media & Communication 2022;10(2):337 View
  260. 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 View
  261. Andersen R, Skou S, Clausen M, Jäger M, Zangger G, Grøntved A, Brønd J, Soja A, Tang L. Maintenance of physical activity after cardiac rehabilitation (FAIR): study protocol for a feasibility trial. BMJ Open 2022;12(4):e060157 View
  262. Sifat M, Saperstein S, Tasnim N, Green K. Motivations Toward Using Digital Health and Exploring the Possibility of Using Digital Health for Mental Health in Bangladesh University Students: Cross-sectional Questionnaire Study. JMIR Formative Research 2022;6(3):e34901 View
  263. Kracht C, Hutchesson M, Ahmed M, Müller A, Ashton L, Brown H, DeSmet A, Maher C, Mauch C, Vandelanotte C, Yin Z, Whatnall M, Short C, Staiano A. E‐&mHealth interventions targeting nutrition, physical activity, sedentary behavior, and/or obesity among children: A scoping review of systematic reviews and meta‐analyses. Obesity Reviews 2021;22(12) View
  264. Reiner S, D’Abundo M, Cappaert T, Miller M. Awareness of Social Presence on Virtual Fitness Platforms and Relationship with Exercise Motivation and Physical Activity Levels. Physical Activity and Health 2023;7(1):91 View
  265. Nurmi J, Knittle K, Naughton F, Sutton S, Ginchev T, Khattak F, Castellano-Tejedor C, Lusilla-Palacios P, Ravaja N, Haukkala A. Biofeedback and Digitalized Motivational Interviewing to Increase Daily Physical Activity: Series of Factorial N-of-1 Randomized Controlled Trials Piloting the Precious App. JMIR Formative Research 2023;7:e34232 View
  266. Yfantidou S, Sermpezis P, Vakali A. 14 Years of Self-Tracking Technology for mHealth—Literature Review: Lessons Learned and the PAST SELF Framework. ACM Transactions on Computing for Healthcare 2023;4(3):1 View
  267. Butler M, Romain A, Augustin R, Robles P, Friel C, Vicari F, Chandereng T, Alfano C, Cheung Y, Davidson K. The effect of a multi-component behavior change technique intervention on physical activity among individuals on primary prevention statin therapy: A dose-finding trial protocol. Contemporary Clinical Trials 2023;130:107205 View
  268. Jeftic I, Furzer B, Dimmock J, Wright K, Boyd C, Budden T, Rosenberg M, Kramer B, Buist B, Fitzpatrick I, Sabiston C, de Jonge M, Jackson B. Structured exercise programs for higher education students experiencing mental health challenges: background, significance, and implementation. Frontiers in Public Health 2023;11 View
  269. Cadmus-Bertram L, Solk P, Agnew M, Starikovsky J, Schmidt C, Morelli W, Hodgson V, Freeman H, Muller L, Mishory A, Naxi S, Carden L, Tevaarwerk A, Wolter M, Barber E, Spencer R, Sesto M, Gradishar W, Gangnon R, Spring B, Nahum-Shani I, Phillips S. A multi-site trial of an electronic health integrated physical activity promotion intervention in breast and endometrial cancers survivors: MyActivity study protocol. Contemporary Clinical Trials 2023;130:107187 View
  270. Sharif R, Zafar H, Vellinga A, Flaherty G, Sharif F. Analysis of Web and Mobile Apps for Monitoring of Childhood Physical Activity. International Journal of Digital Health 2022;2(1):1 View
  271. Hamborg T, Tang L, Andersen R, Skou S, Simonÿ C. It is like someone holding your hand when you need it – lived experiences of patients with cardiovascular disease participating in a digital health intervention focusing on the maintenance of physical activity after cardiac rehabilitation. Disability and Rehabilitation: Assistive Technology 2024;19(4):1718 View
  272. Oba T, Takano K, Katahira K, Kimura K. Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey. JMIR mHealth and uHealth 2023;11:e49148 View
  273. Kyung N, Chan J, Lim S, Lee B. Contextual Targeting in mHealth Apps: Harnessing Weather Information and Message Framing to Increase Physical Activity. Information Systems Research 2023 View
  274. Mair J, Salamanca-Sanabria A, Augsburger M, Frese B, Abend S, Jakob R, Kowatsch T, Haug S. Effective Behavior Change Techniques in Digital Health Interventions for the Prevention or Management of Noncommunicable Diseases: An Umbrella Review. Annals of Behavioral Medicine 2023;57(10):817 View
  275. Liu Y, Zhang H, Xu R. The impact of technology on promoting physical activities and mental health: a gender-based study. BMC Psychology 2023;11(1) View
  276. Stuber J, Mackenbach J, de Bruijn G, Gillebaart M, Hoenink J, Middel C, de Ridder D, van der Schouw Y, Smit E, Velema E, Vos A, Waterlander W, Lakerveld J, Beulens J, Rutters F, Blom S, de Boer F, Klein M, Broerse J, Schuitmaker-Warnaar T, Sluijs I, Harbers M. Real-world nudging, pricing, and mobile physical activity coaching was insufficient to improve lifestyle behaviours and cardiometabolic health: the Supreme Nudge parallel cluster-randomised controlled supermarket trial. BMC Medicine 2024;22(1) View
  277. Safeer V S M, Gupta P, Behl S, Bansal D, Sahu J. Mobile health applications for epilepsy in Indian app stores: A systematic review and content analysis using the mobile app rating scale. Epilepsy Research 2024;201:107331 View
  278. Robin N, Rieusset L, Ruart S, Ben-Rais A, Bourhis-Espiand V. Influence of text messages promoting mental imagery on self-reported physical activity in women with breast cancer: A randomized controlled study. Journal of Bodywork and Movement Therapies 2024;40:797 View

Books/Policy Documents

  1. Carney R, Firth J. Exercise-Based Interventions for Mental Illness. View
  2. Morgan G, Fiore M. Oncology Informatics. View
  3. Wright K. The Handbook of Applied Communication Research. View
  4. Esteves D, Pinheiro P, O'Hara K, Brás R. Encyclopedia of E-Health and Telemedicine. View
  5. David S, Rafiullah M. Case Study of Innovative Projects - Successful Real Cases. View
  6. M Cecil S, Denise L L. Learning, Design, and Technology. View
  7. Scales R, Buman M. Lifestyle Medicine. View
  8. Howren M, Roche A, Christensen A. The Wiley Handbook of Healthcare Treatment Engagement. View
  9. Burke L, Zheng Y, Wang J. Principles and Concepts of Behavioral Medicine. View
  10. Ramalho S, Silva C, Pinto-Bastos A, Conceição E. Obesity. View
  11. Ross T, Burris A, Oliveira L, Arnott B, Araujo-Soares V. Design, User Experience, and Usability: Design Discourse. View
  12. Yasobant S. Handbook of Research on Advancing Health Education through Technology. View
  13. McAuley E, Mullen S, Fanning J. Principles and Concepts of Behavioral Medicine. View
  14. Ngenye L, Wright K. Global Perspectives on Health Communication in the Age of Social Media. View
  15. Robinson S, Troosters T, Moy M. Enhancing Patient Engagement in Pulmonary Healthcare. View
  16. Van Stee S, Yang Q. Technology and Health. View
  17. Moreno-Blanco D, Sánchez-González P, Gárate F, Cáceres C, Solana-Sánchez J, Tormos-Muñoz J, Gómez E. XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. View
  18. Laranjo L, Lau A, Coiera E. Cognitive Informatics in Health and Biomedicine. View
  19. Tong X, Gupta A, Gromala D, Shaw C. Distributed, Ambient and Pervasive Interactions. View
  20. Yasobant S. Geospatial Research. View
  21. Konishi T, Nagata M, Honjo M, Yoneyama A, Kurokawa M, Mishima K. Persuasive Technology: Development of Persuasive and Behavior Change Support Systems. View
  22. Clookey S. Self-Management in Chronic Illness. View
  23. Guan J, Zitkus E, de Bont C, Dong H. Advances in Industrial Design. View
  24. Ngenye L, Wright K. Research Anthology on Improving Health Literacy Through Patient Communication and Mass Media. View
  25. Schooley B, Akgun D, Duhoon P, Hikmet N. Advances in Computer Vision and Computational Biology. View
  26. Karavidas L, Skraparli G, Tsiatsos T, Douka S, Avgerinos A, Philippou C. New Realities, Mobile Systems and Applications. View
  27. Dorronzoro-Zubiete E, Rivera-Romero O, Nuñez-Benjumea F, Cervera-Torres S. Personalized Health Systems for Cardiovascular Disease. View
  28. M. Cecil S, Denise L. L. Learning, Design, and Technology. View
  29. Karavidas L, Skraparli G, Chaldogeridis A, Apostolidis H, Politopoulos N, Tsiatsos T, Douka S. Open Science in Engineering. View
  30. Agyei E, Kekkonen M, Oinas-Kukkonen H. Persuasive Technology. View
  31. Zalake M, Gomes De Siqueira A, Vaddiparti K, Antonenko P, Lok B. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. View