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 Fanning 1 Author Orcid Image ;   Sean P Mullen 1 ;   Edward McAuley 1 Author Orcid Image

Journals

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  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 & 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 theMilk Manmobile 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):437 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 2020:1 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
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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
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  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
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