Published on in Vol 19, No 4 (2017): April

Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey

Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey

Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey

Journals

  1. Langford A, Solid C, Scott E, Lad M, Maayan E, Williams S, Seixas A. Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(1):e12228 View
  2. Seifert A, Christen M, Martin M. Willingness of Older Adults to Share Mobile Health Data with Researchers. GeroPsych 2018;31(1):41 View
  3. Petrovčič A, Rogelj A, Dolničar V. Smart but not adapted enough: Heuristic evaluation of smartphone launchers with an adapted interface and assistive technologies for older adults. Computers in Human Behavior 2018;79:123 View
  4. Kimball S, Singh G, John A, Jenstad L. Implications and attitudes of audiologists towards smartphone integration in hearing healthcare. Hearing Research 2018;369:15 View
  5. Llorens-Vernet P, Miró J. Standards for Mobile Health–Related Apps: Systematic Review and Development of a Guide. JMIR mHealth and uHealth 2020;8(3):e13057 View
  6. Hyde E, Omura J, Fulton J, Weldy A, Carlson S. Physical Activity Surveillance Using Wearable Activity Monitors: Are US Adults Willing to Share Their Data?. American Journal of Health Promotion 2020;34(6):672 View
  7. Guan L, Peng T, Zhu J. Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong. JMIR mHealth and uHealth 2019;7(5):e13679 View
  8. 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
  9. 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
  10. 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
  11. Cohen S, Scherr C, Nixon D. An iPhone Application Intervention to Promote Surveillance Among Women with a BRCA Mutation: Pre-intervention Data. Journal of Genetic Counseling 2018;27(2):446 View
  12. Sill J, Steenbock B, Helmer S, Zeeb H, Pischke C. Apps zur Förderung von körperlicher Aktivität – Nutzung und Einstellungen bei Erwachsenen im Alter von 50 Jahren und älter. Prävention und Gesundheitsförderung 2019;14(2):109 View
  13. Raichle C, Eckstein J, Lapaire O, Leonardi L, Brasier N, Vischer A, Burkard T. Performance of a Blood Pressure Smartphone App in Pregnant Women. Hypertension 2018;71(6):1164 View
  14. Rojas Mezarina L, Silva-Valencia J, Escobar-Agreda S, Espinoza Herrera D, Egoavil M, Maceda Kuljich M, Inga-Berrospi F, Ronceros S. Need for the Development of a Specific Regulatory Framework for Evaluation of Mobile Health Apps in Peru: Systematic Search on App Stores and Content Analysis. JMIR mHealth and uHealth 2020;8(7):e16753 View
  15. Ramey L, Osborne C, Kasitinon D, Juengst S. Apps and Mobile Health Technology in Rehabilitation. Physical Medicine and Rehabilitation Clinics of North America 2019;30(2):485 View
  16. Lu C, Hu Y, Xie J, Fu Q, Leigh I, Governor S, Wang G. The Use of Mobile Health Applications to Improve Patient Experience: Cross-Sectional Study in Chinese Public Hospitals. JMIR mHealth and uHealth 2018;6(5):e126 View
  17. Moghimi E, Davis C, Rotondi M. eHealth Treatments for Compulsive Overeating: a Narrative Review. Current Addiction Reports 2020;7(3):395 View
  18. Tassone C, Keshavjee K, Paglialonga A, Moreira N, Pinto J, Quintana Y. Evaluation of mobile apps for treatment of patients at risk of developing gestational diabetes. Health Informatics Journal 2020;26(3):1983 View
  19. Krzyzanowski M, Kizakevich P, Duren-Winfield V, Eckhoff R, Hampton J, Blackman Carr L, McCauley G, Roberson K, Onsomu E, Williams J, Price A. Rams Have Heart, a Mobile App Tracking Activity and Fruit and Vegetable Consumption to Support the Cardiovascular Health of College Students: Development and Usability Study. JMIR mHealth and uHealth 2020;8(8):e15156 View
  20. Beaunoyer E, Dupéré S, Guitton M. COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies. Computers in Human Behavior 2020;111:106424 View
  21. Schlomann A, Seifert A, Rietz C. Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey. JMIR Aging 2019;2(1):e12303 View
  22. Kang Y, Shen H, Lin C, Elwyn G, Huang S, Wu T, Hou W. Does a Mobile app improve patients’ knowledge of stroke risk factors and health-related quality of life in patients with stroke? A randomized controlled trial. BMC Medical Informatics and Decision Making 2019;19(1) View
  23. Meixner C, Baumann H, Wollesen B. Personality Traits, Gamification and Features to Develop an App to Reduce Physical Inactivity. Information 2020;11(7):367 View
  24. Rumbold J, O'Kane M, Philip N, Pierscionek B. Big Data and diabetes: the applications of Big Data for diabetes care now and in the future. Diabetic Medicine 2020;37(2):187 View
  25. Sayma M, Tuijt R, Cooper C, Walters K, Heyn P. Are We There Yet? Immersive Virtual Reality to Improve Cognitive Function in Dementia and Mild Cognitive Impairment. The Gerontologist 2020;60(7):e502 View
  26. Langius-Eklöf A, Christiansen M, Lindström V, Blomberg K, Hälleberg Nyman M, Wengström Y, Sundberg K. Adherence to Report and Patient Perception of an Interactive App for Managing Symptoms During Radiotherapy for Prostate Cancer: Descriptive Study of Logged and Interview Data. JMIR Cancer 2017;3(2):e18 View
  27. Seckin G, Hughes S. In Sickness and in Health: Patient-Reported Outcomes in a Nationally Representative Cross-Sectional Survey of Older Internet Users (Preprint). JMIR Aging 2019 View
  28. 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
  29. Sarker I, Hoque M, Uddin M, Alsanoosy T. Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions. Mobile Networks and Applications 2020 View
  30. Zucco R, Lavano F, Anfosso R, Bianco A, Pileggi C, Pavia M. Internet and social media use for antibiotic-related information seeking: Findings from a survey among adult population in Italy. International Journal of Medical Informatics 2018;111:131 View
  31. López-Blanco R, Benito-León J, Llamas-Velasco S, Del Castillo M, Serrano J, Rocon E, Romero J, Velasco M. Interacción con pantalla táctil de smartphone en pacientes con temblor esencial y sujetos sanos. Neurología 2018 View
  32. Bliss D, Gurvich O, Patel S, Meyer I, Richter H. Self-management of accidental bowel leakage and interest in a supportive m-Health app among women. International Urogynecology Journal 2020;31(6):1133 View
  33. Lupton D, Maslen S. How Women Use Digital Technologies for Health: Qualitative Interview and Focus Group Study. Journal of Medical Internet Research 2019;21(1):e11481 View
  34. Bidargaddi N, Almirall D, Murphy S, Nahum-Shani I, Kovalcik M, Pituch T, Maaieh H, Strecher V. To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App. JMIR mHealth and uHealth 2018;6(11):e10123 View
  35. Mahmood A, Kedia S, Wyant D, Ahn S, Bhuyan S. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. DIGITAL HEALTH 2019;5:205520761988218 View
  36. Trawley S, Baptista S, Browne J, Pouwer F, Speight J. The Use of Mobile Applications Among Adults with Type 1 and Type 2 Diabetes: Results from the Second MILES—Australia (MILES-2) Study. Diabetes Technology & Therapeutics 2017;19(12):730 View
  37. Dempsey R, McAlaney J, Bewick B. A Critical Appraisal of the Social Norms Approach as an Interventional Strategy for Health-Related Behavior and Attitude Change. Frontiers in Psychology 2018;9 View
  38. Bruno M, Wright M, Baker C, Emir B, Carda E, Clausen M, Sigler C, Patel A. Mobile App Usage Patterns of Patients Prescribed a Smoking Cessation Medicine: Prospective Observational Study. JMIR mHealth and uHealth 2018;6(4):e97 View
  39. Seçkin G, Hughes S, Yeatts D, Degreve T. Digital Pathways to Positive Health Perceptions: Does Age Moderate the Relationship Between Medical Satisfaction and Positive Health Perceptions Among Middle-Aged and Older Internet Users?. Innovation in Aging 2019;3(1) View
  40. Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301 View
  41. Rowe M, Sauls B. The use of smartphone apps in clinical practice: A survey of South African physiotherapists. South African Journal of Physiotherapy 2020;76(1) View
  42. Huang C, Chen S, Tang C, Huang H. A trade-off dual-factor model to investigate discontinuous intention of health app users: From the perspective of information disclosure. Journal of Biomedical Informatics 2019;100:103302 View
  43. Li J, Chang X. Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease. Information Technology & People 2020;34(1):399 View
  44. Sezgin E, Weiler M, Weiler A, Lin S. Proposing an Ecosystem of Digital Health Solutions for Teens With Chronic Conditions Transitioning to Self-Management and Independence: Exploratory Qualitative Study. Journal of Medical Internet Research 2018;20(9):e10285 View
  45. McKinney P, Cox A, Sbaffi L. Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study. Journal of Medical Internet Research 2019;21(8):e13652 View
  46. Dowd A, Warbeck C, Tang K, Fung T, Culos-Reed S. MyHealthyGut: Findings from a pilot randomized controlled trial on adherence to a gluten-free diet and quality of life among adults with celiac disease or gluten intolerance. DIGITAL HEALTH 2020;6:205520762090362 View
  47. Shi Y, Wei Y, Feng X, Liu J, Jiang Z, Ou F, Wei H, Lv G, Wan X, Wang Z, Yang Y. Distribution, genetic characteristics and public health implications of Triatoma rubrofasciata, the vector of Chagas disease in Guangxi, China. Parasites & Vectors 2020;13(1) View
  48. Mitchell L, Hussain Z. Predictors of Problematic Smartphone Use: An Examination of the Integrative Pathways Model and the Role of Age, Gender, Impulsiveness, Excessive Reassurance Seeking, Extraversion, and Depression. Behavioral Sciences 2018;8(8):74 View
  49. Kitagawa T, Higuchi Y, Todo E, Ueda T, Ando S, Murakami T. Tailored feedback reduced prolonged sitting time and improved the health of housewives: a single-blind randomized controlled pilot study. Women & Health 2020;60(2):212 View
  50. Baumel A, Muench F, Edan S, Kane J. Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis. Journal of Medical Internet Research 2019;21(9):e14567 View
  51. Benis A, Barak Barkan R, Sela T, Harel N. Communication Behavior Changes Between Patients With Diabetes and Healthcare Providers Over 9 Years: Retrospective Cohort Study. Journal of Medical Internet Research 2020;22(8):e17186 View
  52. Zhang Y, Liu C, Luo S, Huang J, Li X, Zhou Z. Effectiveness of Lilly Connected Care Program (LCCP) App-Based Diabetes Education for Patients With Type 2 Diabetes Treated With Insulin: Retrospective Real-World Study. JMIR mHealth and uHealth 2020;8(3):e17455 View
  53. Poulton A, Pan J, Bruns Jr L, Sinnott R, Hester R. A Smartphone App to Assess Alcohol Consumption Behavior: Development, Compliance, and Reactivity. JMIR mHealth and uHealth 2019;7(3):e11157 View
  54. Boriani G, Schnabel R, Healey J, Lopes R, Verbiest-van Gurp N, Lobban T, Camm J, Freedman B. Consumer-led screening for atrial fibrillation using consumer-facing wearables, devices and apps: A survey of health care professionals by AF-SCREEN international collaboration. European Journal of Internal Medicine 2020;82:97 View
  55. Kanthawala S, Joo E, Kononova A, Peng W, Cotten S. Folk theorizing the quality and credibility of health apps. Mobile Media & Communication 2019;7(2):175 View
  56. Abbate K, Hingle M, Armin J, Giacobbi Jr P, Gordon J. Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies. JMIR Research Protocols 2017;6(11):e219 View
  57. Ernsting C, Stühmann L, Dombrowski S, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179 View
  58. Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing L, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow P. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1) View
  59. Dunphy E, Gardner E. Telerehabilitation to Address the Rehabilitation Gap in Anterior Cruciate Ligament Care: Survey of Patients. JMIR Formative Research 2020;4(9):e19296 View
  60. Smahel D, Elavsky S, Machackova H. Functions of mHealth applications: A user’s perspective. Health Informatics Journal 2019;25(3):1065 View
  61. UHvA G, Dallinga J, Deutekom M. With a little help from my walking app? Predictors of profile classifications of current users, previous users, and informed nonusers in a sample of Dutch adults (Preprint). JMIR mHealth and uHealth 2019 View
  62. Hansen A, Claudi T, Årsand E. Associations Between the Use of eHealth and Out-of-Hours Services in People With Type 1 Diabetes: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(3):e13465 View
  63. Tark R, Metelitsa M, Akkermann K, Saks K, Mikkel S, Haljas K. Usability, Acceptability, Feasibility, and Effectiveness of a Gamified Mobile Health Intervention (Triumf) for Pediatric Patients: Qualitative Study. JMIR Serious Games 2019;7(3):e13776 View
  64. Masood I, Wang Y, Daud A, Aljohani N, Dawood H. Towards Smart Healthcare: Patient Data Privacy and Security in Sensor-Cloud Infrastructure. Wireless Communications and Mobile Computing 2018;2018:1 View
  65. Lucero R, Frimpong J, Fehlberg E, Bjarnadottir R, Weaver M, Cook C, Modave F, Rathore M, Morano J, Ibanez G, Cook R. The Relationship Between Individual Characteristics and Interest in Using a Mobile Phone App for HIV Self-Management: Observational Cohort Study of People Living With HIV. JMIR mHealth and uHealth 2017;5(7):e100 View
  66. López-Blanco R, Benito-León J, Llamas-Velasco S, Del Castillo M, Serrano J, Rocon E, Romero J, Velasco M. Interaction with touchscreen smartphones in patients with essential tremor and healthy individuals. Neurología (English Edition) 2018 View
  67. Glattacker M, Boeker M, Anger R, Reichenbach F, Tassoni A, Bredenkamp R, Giesler J. Evaluation of a Mobile Phone App for Patients With Pollen-Related Allergic Rhinitis: Prospective Longitudinal Field Study. JMIR mHealth and uHealth 2020;8(4):e15514 View
  68. del Río-Lanza A, Suárez-Vázquez A, Suárez-Álvarez L, Iglesias-Argüelles V. Mobile health (mhealth): facilitators and barriers of the intention of use in patients with chronic illnesses. Journal of Communication in Healthcare 2020;13(2):138 View
  69. Kliemann N, Croker H, Johnson F, Beeken R. Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study. JMIR mHealth and uHealth 2019;7(5):e12326 View
  70. 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
  71. Collado-Borrell R, Escudero-Vilaplana V, Calles A, Garcia-Martin E, Marzal-Alfaro B, Gonzalez-Haba E, Herranz-Alonso A, Sanjurjo-Saez M. Oncology Patient Interest in the Use of New Technologies to Manage Their Disease: Cross-Sectional Survey. Journal of Medical Internet Research 2018;20(10):e11006 View
  72. Holzmann S, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31 View
  73. Strain T, Wijndaele K, Brage S. Physical Activity Surveillance Through Smartphone Apps and Wearable Trackers: Examining the UK Potential for Nationally Representative Sampling. JMIR mHealth and uHealth 2019;7(1):e11898 View
  74. Cobelli N, Chiarini A. Improving customer satisfaction and loyalty through mHealth service digitalization. The TQM Journal 2020;32(6):1541 View
  75. Oedekoven M, Herrmann W, Ernsting C, Schnitzer S, Kanzler M, Kuhlmey A, Gellert P. Patients’ health literacy in relation to the preference for a general practitioner as the source of health information. BMC Family Practice 2019;20(1) View
  76. Hansen A, Bradway M, Broz J, Claudi T, Henriksen Ø, Wangberg S, Årsand E. Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(5):e13615 View
  77. Schmidt T, Mewes P, Hoffmann J, Müller‐von Aschwege F, Glitza J, Schmitto J, Schulte‐Eistrup S, Sindermann J, Reiss N. Improved aftercare in LVAD patients: Development and feasibility of a smartphone application as a first step for telemonitoring. Artificial Organs 2020;44(3):248 View
  78. Arsenijevic J, Tummers L, Bosma N. Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(2):e11613 View
  79. Ashley M, Pahl S, Glegg G, Fletcher S. A Change of Mind: Applying Social and Behavioral Research Methods to the Assessment of the Effectiveness of Ocean Literacy Initiatives. Frontiers in Marine Science 2019;6 View
  80. Schairer C, Cheung C, Kseniya Rubanovich C, Cho M, Cranor L, Bloss C. Disposition toward privacy and information disclosure in the context of emerging health technologies. Journal of the American Medical Informatics Association 2019;26(7):610 View
  81. Johnston F, Wheeler A, Williamson G, Campbell S, Jones P, Koolhof I, Lucani C, Cooling N, Bowman D. Using smartphone technology to reduce health impacts from atmospheric environmental hazards. Environmental Research Letters 2018;13(4):044019 View
  82. Jayaraman P, Forkan A, Morshed A, Haghighi P, Kang Y. Healthcare 4.0: A review of frontiers in digital health. WIREs Data Mining and Knowledge Discovery 2020;10(2) View
  83. Kebede M, Schuett C, Pischke C. The Role of Continuous Glucose Monitoring, Diabetes Smartphone Applications, and Self-Care Behavior in Glycemic Control: Results of a Multi-National Online Survey. Journal of Clinical Medicine 2019;8(1):109 View
  84. Madrigal L, Escoffery C. Electronic Health Behaviors Among US Adults With Chronic Disease: Cross-Sectional Survey. Journal of Medical Internet Research 2019;21(3):e11240 View
  85. Chen S, Sun G, Cen X, Liu J, Ye J, Chen J, Lei L, He Y, Song F, Guo W, Liang Y, Hu Y, Chen K, Chen L, Tan N, Liu Y. Characteristics and requirements of hypertensive patients willing to use digital health tools in the Chinese community: a multicentre cross-sectional survey. BMC Public Health 2020;20(1) View
  86. Akdur G, Aydin M, Akdur G. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik. JMIR mHealth and uHealth 2020;8(10):e16911 View
  87. Lupton D. Australian women’s use of health and fitness apps and wearable devices: a feminist new materialism analysis. Feminist Media Studies 2020;20(7):983 View
  88. Ni Mhurchu C, Te Morenga L, Tupai-Firestone R, Grey J, Jiang Y, Jull A, Whittaker R, Dobson R, Dalhousie S, Funaki T, Hughes E, Henry A, Lyndon-Tonga L, Pekepo C, Penetito-Hemara D, Tunks M, Verbiest M, Humphrey G, Schumacher J, Goodwin D. A co-designed mHealth programme to support healthy lifestyles in Māori and Pasifika peoples in New Zealand (OL@-OR@): a cluster-randomised controlled trial. The Lancet Digital Health 2019;1(6):e298 View
  89. 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
  90. Kebede M, Steenbock B, Helmer S, Sill J, Möllers T, Pischke C. Identifying Evidence-Informed Physical Activity Apps: Content Analysis. JMIR mHealth and uHealth 2018;6(12):e10314 View
  91. Griauzde D, Kullgren J, Liestenfeltz B, Richardson C, Heisler M. A mobile phone-based program to promote healthy behaviors among adults with prediabetes: study protocol for a pilot randomized controlled trial. Pilot and Feasibility Studies 2018;4(1) View
  92. Xie Z, Nacioglu A, Or C. Prevalence, Demographic Correlates, and Perceived Impacts of Mobile Health App Use Amongst Chinese Adults: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2018;6(4):e103 View
  93. Kajitani K, Higashijima I, Kaneko K, Matsushita T, Fukumori H, Kim D, Hashimoto K. Short-term effect of a smartphone application on the mental health of university students: A pilot study using a user-centered design self-monitoring application for mental health. PLOS ONE 2020;15(9):e0239592 View
  94. Böhm A, Jensen M, Sørensen M, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212 View
  95. Luan L, Xiao W, Hwang K, Hossain M, Muhammad G, Ghoneim A. MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing. IEEE Access 2020;8:195568 View
  96. 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
  97. Wang L, Ren J, Fiscella K, Bullock S, Sanders M, Loomis E, Eliav E, Mendoza M, Cacciato R, Thomas M, Kopycka-Kedzierawski D, Billings R, Xiao J. Interprofessional collaboration and smartphone use as promising strategies to improve prenatal oral health care utilization among US underserved women: results from a qualitative study. BMC Oral Health 2020;20(1) View
  98. Aydin G, Silahtaroglu G, Khan F. Insights into mobile health application market via a content analysis of marketplace data with machine learning. PLOS ONE 2021;16(1):e0244302 View
  99. Alshathri D, Alhumaimeedy A, Al-Hudhud G, Alsaleh A, Al-Musharaf S, Aljuraiban G. Weight Management Apps in Saudi Arabia: Evaluation of Features and Quality. JMIR mHealth and uHealth 2020;8(10):e19844 View
  100. Dittrich F, Reinecke F, Dudda M, Stang A, Polan C, Müller R, Beck P, Kauther M. Mobile Health acceptance, barriers and future preferences in Trauma and Orthopedic surgery: What do our patients demand- a Survey Study (Preprint). JMIR mHealth and uHealth 2020 View
  101. Al Bander Z, Nitert M, Mousa A, Naderpoor N. The Gut Microbiota and Inflammation: An Overview. International Journal of Environmental Research and Public Health 2020;17(20):7618 View
  102. Zhang Y, Liu C, Luo S, Huang J, Yang Y, Ma X, Li X, Zhou Z. Effectiveness of the Family Portal Function on the Lilly Connected Care Program (LCCP) for Patients With Type 2 Diabetes: Retrospective Cohort Study With Propensity Score Matching. JMIR mHealth and uHealth 2021;9(2):e25122 View
  103. Parker K, Uddin R, Ridgers N, Brown H, Veitch J, Salmon J, Timperio A, Sahlqvist S, Cassar S, Toffoletti K, Maddison R, Arundell L. The Use of Digital Platforms for Adults’ and Adolescents’ Physical Activity During the COVID-19 Pandemic (Our Life at Home): Survey Study. Journal of Medical Internet Research 2021;23(2):e23389 View
  104. Georgieva I, Beaunoyer E, Guitton M. Ensuring social acceptability of technological tracking in the COVID-19 context. Computers in Human Behavior 2021;116:106639 View
  105. Stehr P, Karnowski V, Rossmann C. The multi-faceted usage patterns of nutrition apps: a survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal. BMC Medical Informatics and Decision Making 2020;20(1) View
  106. Liu A, Laborde N, Coleman K, Vittinghoff E, Gonzalez R, Wilde G, Thorne A, Ikeguchi E, Shafner L, Sunshine L, van der Straten A, Siegler A, Buchbinder S. DOT Diary: Developing a Novel Mobile App Using Artificial Intelligence and an Electronic Sexual Diary to Measure and Support PrEP Adherence Among Young Men Who Have Sex with Men. AIDS and Behavior 2020 View
  107. Lee P, Tse A, Wu C, Mak Y, Lee U. Temporal association between objectively measured smartphone usage, sleep quality and physical activity among Chinese adolescents and young adults. Journal of Sleep Research 2020 View
  108. Meinhart F, Stütz T, Sareban M, Kulnik S, Niebauer J. Mobile Technologies to Promote Physical Activity during Cardiac Rehabilitation: A Scoping Review. Sensors 2020;21(1):65 View

Books/Policy Documents

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  2. Šmahel D, Macháčková H, Šmahelová M, Čevelíček M, Almenara C, Holubčíková J. Digital Technology, Eating Behaviors, and Eating Disorders. View
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  10. Lidynia C, Schomakers E, Ziefle M. Advances in Human Factors in Wearable Technologies and Game Design. View
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