Published on in Vol 8 , No 3 (2020) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17046, first published .
Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review

Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review

Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review

Journals

  1. Máca V, Ščasný M, Zvěřinová I, Jakob M, Hrnčíř J. Incentivizing Commuter Cycling by Financial and Non-Financial Rewards. International Journal of Environmental Research and Public Health 2020;17(17):6033 View
  2. Duplaga M. The Use of Fitness Influencers’ Websites by Young Adult Women: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 2020;17(17):6360 View
  3. Torous J, Jän Myrick K, Rauseo-Ricupero N, Firth J. Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow. JMIR Mental Health 2020;7(3):e18848 View
  4. Weissman R, Bauer S, Thomas J. Access to evidence‐based care for eating disorders during the COVID ‐19 crisis. International Journal of Eating Disorders 2020;53(5):639 View
  5. Yan Y, Chien T, Yeh Y, Chou W, Hsing S. An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(7):e17857 View
  6. Kwan R, Lee D, Lee P, Tse M, Cheung D, Thiamwong L, Choi K. Effects of an mHealth Brisk Walking Intervention on Increasing Physical Activity in Older People With Cognitive Frailty: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e16596 View
  7. Meinert E, Rahman E, Potter A, Lawrence W, Van Velthoven M. Acceptability and Usability of the Mobile Digital Health App NoObesity for Families and Health Care Professionals: Protocol for a Feasibility Study. JMIR Research Protocols 2020;9(7):e18068 View
  8. Yamamoto K, Takahashi T, Urasaki M, Nagayasu Y, Shimamoto T, Tateyama Y, Matsuzaki K, Kobayashi D, Kubo S, Mito S, Abe T, Matsuura H, Iwami T. Health Observation App for COVID-19 Symptom Tracking Integrated With Personal Health Records: Proof of Concept and Practical Use Study. JMIR mHealth and uHealth 2020;8(7):e19902 View
  9. Milne-Ives M, Lam C, van Velthoven M, Meinert E. Mobile Fitness and Weight Management Apps: Protocol for a Quality Evaluation. JMIR Research Protocols 2020;9(9):e17685 View
  10. Kim K, Lee C. Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study. JMIR mHealth and uHealth 2021;9(2):e24539 View
  11. Howie E, Daniels B, Human A, Gray M, Baum J. Effectiveness and implementation of a virtual versus in-person walking program among employees on physical activity, fitness, and cognition. Health and Technology 2021;11(4):909 View
  12. Hayman M, Alfrey K, Cannon S, Alley S, Rebar A, Williams S, Short C, Altazan A, Comardelle N, Currie S, Denton C, Harrison C, Lamerton T, Mena G, Moran L, Mottola M, Nagpal T, Vincze L, Schoeppe S. Quality, Features, and Presence of Behavior Change Techniques in Mobile Apps Designed to Improve Physical Activity in Pregnant Women: Systematic Search and Content Analysis. JMIR mHealth and uHealth 2021;9(4):e23649 View
  13. Marchant G, Bonaiuto F, Bonaiuto M, Guillet Descas E. Exercise and Physical Activity eHealth in COVID-19 Pandemic: A Cross-Sectional Study of Effects on Motivations, Behavior Change Mechanisms, and Behavior. Frontiers in Psychology 2021;12 View
  14. Lee J, Woo H. Quality Evaluation of Fine Dust Management Mobile Applications. Journal of Health Informatics and Statistics 2021;46(1):110 View
  15. Kabir M, Rahman S, Islam M, Ahmed S, Laird C. Mobile Apps for Foot Measurement in Pedorthic Practice: Scoping Review. JMIR mHealth and uHealth 2021;9(3):e24202 View
  16. Kosowan L, Katz A, Halas G, Singer A. Patient perspectives on tablet-based technology to collect risk factor information in primary care. BMC Family Practice 2021;22(1) View
  17. Rozga M, Jones K, Robinson J, Yahiro A. Nutrition and physical activity interventions for the general population with and without cardiometabolic risk: a scoping review. Public Health Nutrition 2021;24(14):4718 View
  18. Milne-Ives M, Swancutt D, Burns L, Pinkney J, Tarrant M, Calitri R, Chatterjee A, Meinert E. The Effectiveness and Usability of Online, Group-Based Interventions for People With Severe Obesity: Protocol for a Systematic Review. JMIR Research Protocols 2021;10(6):e26619 View
  19. 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
  20. Napier C, Davies G, Butow P, Schlub T, Best M, Bartley N, Juraskova I, Meiser B, Tucker K, Biesecker B, Thomas D, Ballinger M. Cancer patient knowledge about and behavioral intentions after germline genome sequencing. Patient Education and Counseling 2022;105(3):707 View
  21. Baek Y, Jeong K, Lee S, Kim H, Seo B, Jin H. Feasibility and Effectiveness of Assessing Subhealth Using a Mobile Health Management App (MibyeongBogam) in Early Middle-Aged Koreans: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(8):e27455 View
  22. Han M, Rhee S. Effect of Adherence to Smartphone App Use on the Long-term Effectiveness of Weight Loss in Developing and OECD Countries: Retrospective Cohort Study. JMIR mHealth and uHealth 2021;9(7):e13496 View
  23. Chen Y, Ji M, Wu Y, Deng Y, Wu F, Lu Y. Individualized mobile health interventions for cardiovascular event prevention in patients with coronary heart disease: study protocol for the iCARE randomized controlled trial. BMC Cardiovascular Disorders 2021;21(1) View
  24. Gómez-Marcos M, García-Ortiz L. Response to: Reporting the results of a clinical trial across multiple papers, does it matter?. European Journal of Cardiovascular Nursing 2021;20(6):620 View
  25. Gray R, Mackay B, Waters A, Brown E. Reporting the results of a clinical trial across multiple papers, does it matter?. European Journal of Cardiovascular Nursing 2021;20(6):618 View
  26. Yang Y, Koenigstorfer J. Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(7):e26063 View
  27. Spohrer K, Fallon M, Hoehle H, Heinzl A. Designing Effective Mobile Health Apps: Does Combining Behavior Change Techniques Really Create Synergies?. Journal of Management Information Systems 2021;38(2):517 View
  28. Yu H, He J, Li K, Qi W, Lin J, Szumilewicz A. Quality assessment of pre- and postnatal nutrition and exercise mobile applications in the United States and China. Frontiers in Nutrition 2023;9 View
  29. Saur S, Weisel K, Lang C, Fuhrmann L, Steins-Loeber S, Enewoldsen N, Reichl D, Zink M, Jakobi F, Rudolph M, Ahnert A, Braunwarth W, Falkai P, Koller G, Behle N, Hager L, Hillemacher T, Heepe P, Müller F, Kraus T, Kiderman Y, Horn N, Kornhuber J, Lins S, Spitzer P, Bönsch D, Counot C, Stemmler M, Hildebrand A, Amelung V, Kerkemeyer L, Berking M. App-based maintenance treatment for alcohol use disorder after acute inpatient treatment: Study protocol for a multicentre randomized controlled trial. Internet Interventions 2022;28:100517 View
  30. Dias S, Oikonomidis Y, Diniz J, Baptista F, Carnide F, Bensenousi A, Botana J, Tsatsou D, Stefanidis K, Gymnopoulos L, Dimitropoulos K, Daras P, Argiriou A, Rouskas K, Wilson-Barnes S, Hart K, Merry N, Russell D, Konstantinova J, Lalama E, Pfeiffer A, Kokkinopoulou A, Hassapidou M, Pagkalos I, Patra E, Buys R, Cornelissen V, Batista A, Cobello S, Milli E, Vagnozzi C, Bryant S, Maas S, Bacelar P, Gravina S, Vlaskalin J, Brkic B, Telo G, Mantovani E, Gkotsopoulou O, Iakovakis D, Hadjidimitriou S, Charisis V, Hadjileontiadis L. Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach. Frontiers in Nutrition 2022;9 View
  31. Hranchak T, Dease N, Lopatovska I. Mobile phone use among Ukrainian and US students: a library perspective. Global Knowledge, Memory and Communication 2022 View
  32. Buss V, Varnfield M, Harris M, Barr M. A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study. JMIR Human Factors 2022;9(2):e35065 View
  33. Milne-Ives M, Homer S, Andrade J, Meinert E. Associations Between Behavior Change Techniques and Engagement With Mobile Health Apps: Protocol for a Systematic Review. JMIR Research Protocols 2022;11(3):e35172 View
  34. Castro Sweet C, Kaye L, Alabduljabbar M, Myers V. Training the next generation of behavioral medicine scientists to accelerate digital health. Translational Behavioral Medicine 2022;12(8):834 View
  35. Jossa-Bastidas O, Zahia S, Fuente-Vidal A, Sánchez Férez N, Roda Noguera O, Montane J, Garcia-Zapirain B. Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach. International Journal of Environmental Research and Public Health 2021;18(20):10769 View
  36. Barrett B. Health and sustainability co-benefits of eating behaviors: Towards a science of dietary eco-wellness. Preventive Medicine Reports 2022;28:101878 View
  37. Vieira W, Ostolin T, Simões M, Proença N, Dourado V. Profile of adults users of smartphone applications for monitoring the level of physical activity and associated factors: A cross-sectional study. Frontiers in Public Health 2022;10 View
  38. 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
  39. Kaveladze B, Young S, Schueller S. Antifragile Behavior Change Through Digital Health Behavior Change Interventions. JMIR Formative Research 2022;6(6):e32571 View
  40. Fu S, Fang J, Cai Z, Lim E, Tan C, Yang H. Advancing health-related abilities and behaviors via health apps: a large-scale survey from self-regulation perspective. Internet Research 2022;32(4):1097 View
  41. Zhang K, Aslan A. Design Frameworks for Mobile Health Technology. International Journal of Health Systems and Translational Medicine 2022;2(1):1 View
  42. MacPherson M, Merry K, Locke S, Jung M. How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications. Journal of Technology in Behavioral Science 2022;7(3):337 View
  43. Nardi W, Roy A, Dunsiger S, Brewer J. Analyzing the Impact of Mobile App Engagement on Mental Health Outcomes: Secondary Analysis of the Unwinding Anxiety Program. Journal of Medical Internet Research 2022;24(8):e33696 View
  44. Pape M, Färber T, Seiferth C, Roth T, Schroeder S, Wolstein J, Herpertz S, Steins-Loeber S. A Tailored Gender-Sensitive mHealth Weight Loss Intervention (I-GENDO): Development and Process Evaluation. JMIR Formative Research 2022;6(10):e38480 View
  45. Vázquez-Paz A, Michel-Nava R, Delgado-Pérez E, Lares-Michel M, Espinosa-Curiel I. Parents’ mHealth App for Promoting Healthy Eating Behaviors in Children: Feasibility, Acceptability, and Pilot Study. Journal of Medical Systems 2022;46(11) View
  46. Silva M, Hay-Smith E, Graham F. Exploring the use of the Behaviour Change Techniques Taxonomy and the Persuasive System Design Model in defining parent-focused eHealth interventions: A scoping review (Preprint). Journal of Medical Internet Research 2022 View
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  48. Kim H, Lee K, Lee J, Youk H, Lee H. The Effect of a Mobile and Wearable Device Intervention on Increased Physical Activity to Prevent Metabolic Syndrome: Observational Study. JMIR mHealth and uHealth 2022;10(2):e34059 View
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  51. Griffin K, Williams C, Botvin C, Sousa S, Botvin G. Effectiveness of a hybrid digital substance abuse prevention approach combining e-Learning and in-person class sessions. Frontiers in Digital Health 2022;4 View
  52. Watanabe K, Tsutsumi A. Workers’ perceptions of mHealth services for physical activity and mental health: A qualitative study using a text-mining method. Environmental and Occupational Health Practice 2023;5(1):n/a View
  53. Perkes S, Huntriss B, Skinner N, Leece B, Dobson R, Mattes J, Hall K, Bonevski B. Development of a Maternal and Child mHealth Intervention With Aboriginal and Torres Strait Islander Mothers: Co-design Approach. JMIR Formative Research 2022;6(7):e33541 View
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  55. Hietbrink E, Middelweerd A, van Empelen P, Preuhs K, Konijnendijk A, Oude Nijeweme-d’Hollosy W, Schrijver L, Laverman G, Vollenbroek-Hutten M. A Digital Lifestyle Coach (E-Supporter 1.0) to Support People With Type 2 Diabetes: Participatory Development Study. JMIR Human Factors 2023;10:e40017 View
  56. Martínez-Olcina M, Cuestas-Calero B, Miralles-Amorós L, Vicente-Martínez M, Sánchez-Sánchez J. Effectiveness of App-Based Intervention to Improve Health Status of Sedentary Middle-Aged Males and Females. International Journal of Environmental Research and Public Health 2022;19(10):5857 View
  57. Barzegari S, Sharifi Kia A, Bardus M, Stoyanov S, GhaziSaeedi M, Rafizadeh M. The Persian Version of the Mobile Application Rating Scale (MARS-Fa): Translation and Validation Study. JMIR Formative Research 2022;6(12):e42225 View
  58. Summers C, Wu P, Taylor A. Supporting Mental Health During the COVID-19 Pandemic Using a Digital Behavior Change Intervention: An Open-Label, Single-Arm, Pre-Post Intervention Study. JMIR Formative Research 2021;5(10):e31273 View
  59. Nahum-Shani I, Dziak J, Wetter D. MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions. Frontiers in Digital Health 2022;4 View
  60. Gupta K, Roy S, Altameem A, Kumar R, Saudagar A, Poonia R. Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm. International Journal of Environmental Research and Public Health 2022;19(12):6999 View
  61. Palmer C, Brown Levey S, Kostiuk M, Zisner A, Tolle L, Richey R, Callan S. Virtual Care for Behavioral Health Conditions. Primary Care: Clinics in Office Practice 2022;49(4):641 View
  62. Gorny A, Chee W, Müller-Riemenschneider F. Active Use and Engagement in an mHealth Initiative Among Young Men With Obesity: Mixed Methods Study. JMIR Formative Research 2022;6(1):e33798 View
  63. Yin J, Yue C, Chen X, Tang L. The effect of Tai chi on positive-activated affect in adults: a systematic review and multilevel meta-analysis of randomised controlled trials. International Journal of Sport and Exercise Psychology 2022:1 View
  64. Castro R, Ribeiro-Alves M, Oliveira C, Romero C, Perazzo H, Simjanoski M, Kapciznki F, Balanzá-Martínez V, De Boni R. What Are We Measuring When We Evaluate Digital Interventions for Improving Lifestyle? A Scoping Meta-Review. Frontiers in Public Health 2022;9 View
  65. Dias L, Vianna H, Barbosa J. Human behaviour data analysis and noncommunicable diseases: a systematic mapping study. Behaviour & Information Technology 2022:1 View
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  71. Ali Sherazi B, Laeer S, Krutisch S, Dabidian A, Schlottau S, Obarcanin E. Functions of mHealth Diabetes Apps That Enable the Provision of Pharmaceutical Care: Criteria Development and Evaluation of Popular Apps. International Journal of Environmental Research and Public Health 2022;20(1):64 View
  72. Cutting J, Iacovides I. Learning by Doing: Intrinsic Integration Directs Attention to Increase Learning In Games. Proceedings of the ACM on Human-Computer Interaction 2022;6(CHI PLAY):1 View
  73. Miranda F, Salomé G, Costa M, Alves J. Mobile app for patient education about breast cancer surgical treatment. Fisioterapia em Movimento 2022;35 View
  74. Rodríguez-González P, Iglesias D, Fernandez-Rio J, Gao Z. Effectiveness of interventions using apps to improve physical activity, sedentary behavior and diet: An umbrella review. Complementary Therapies in Clinical Practice 2023;50:101711 View
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  76. Busse T, Nitsche J, Kernebeck S, Jux C, Weitz J, Ehlers J, Bork U. Approaches to Improvement of Digital Health Literacy (eHL) in the Context of Person-Centered Care. International Journal of Environmental Research and Public Health 2022;19(14):8309 View
  77. Milne-Ives M, Selby E, Inkster B, Lam C, Meinert E, Narasimhan P. Artificial intelligence and machine learning in mobile apps for mental health: A scoping review. PLOS Digital Health 2022;1(8):e0000079 View
  78. Frick M, Neu L, Liebhaber N, Sperner-Unterweger B, Stötter J, Keller L, Hüfner K. Why Do We Harm the Environment or Our Personal Health despite Better Knowledge? The Knowledge Action Gap in Healthy and Climate-Friendly Behavior. Sustainability 2021;13(23):13361 View
  79. Yang L, Kuang A, Xu C, Shewchuk B, Singh S, Quan H, Zeng Y. Design Principles in mHealth Interventions for Sustainable Health Behavior Changes: Protocol for a Systematic Review. JMIR Research Protocols 2023;12:e39093 View
  80. De Witte N, Joris S, Van Assche E, Van Daele T. Technological and Digital Interventions for Mental Health and Wellbeing: An Overview of Systematic Reviews. Frontiers in Digital Health 2021;3 View
  81. Dulin P, Mertz R, Edwards A, King D. Contrasting a Mobile App With a Conversational Chatbot for Reducing Alcohol Consumption: Randomized Controlled Pilot Trial. JMIR Formative Research 2022;6(5):e33037 View
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  89. Napolitano L, Cirillo L, Fusco G, Abate M, Falcone A, Morgera V, Cacace G, De Luca L, Reccia P, Mirone C, Crocetto F, Celentano G, Morra S, Barone B, Imbimbo C, Longo N, Mirone V, La Rocca R. Premature ejaculation in the era of mobile health application: A current analysis and evaluation of adherence to EAU guidelines. Archivio Italiano di Urologia e Andrologia 2022;94(3):328 View
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  95. Foster M, Xiong W, Quintiliani L, Hartmann C, Gaehde S. Preferences of Older Adult Veterans With Heart Failure for Engaging With Mobile Health Technology to Support Self-care: Qualitative Interview Study Among Patients With Heart Failure and Content Analysis. JMIR Formative Research 2022;6(12):e41317 View
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