Published on in Vol 4, No 2 (2016): Apr-Jun

Diet and Physical Activity Apps: Perceived Effectiveness by App Users

Diet and Physical Activity Apps: Perceived Effectiveness by App Users

Diet and Physical Activity Apps: Perceived Effectiveness by App Users

Journals

  1. Romeo A, Edney S, Plotnikoff R, Curtis R, Ryan J, Sanders I, Crozier A, Maher C. Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2019;21(3):e12053 View
  2. Wang T, Ren M, Shen Y, Zhu X, Zhang X, Gao M, Chen X, Zhao A, Shi Y, Chai W, Liu X, Sun X. The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects. JMIR mHealth and uHealth 2019;7(9):e12606 View
  3. 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
  4. Flaherty S, McCarthy M, Collins A, McAuliffe F. Can existing mobile apps support healthier food purchasing behaviour? Content analysis of nutrition content, behaviour change theory and user quality integration. Public Health Nutrition 2018;21(2):288 View
  5. Kim K, Lee C, Hornik R. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. Journal of Health Communication 2020;25(4):283 View
  6. 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
  7. Teo C, Ng C, White A, Choo K. What Do Men Want from a Health Screening Mobile App? A Qualitative Study. PLOS ONE 2017;12(1):e0169435 View
  8. 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
  9. Chen J, Lieffers J, Bauman A, Hanning R, Allman‐Farinelli M. The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study. Journal of Human Nutrition and Dietetics 2017;30(4):439 View
  10. 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
  11. Sharaievska I, Battista R, Zwetsloot J. Use of Physical Activity Monitoring Devices by Families in Rural Communities: Qualitative Approach. JMIR Pediatrics and Parenting 2019;2(1):e10658 View
  12. Olsen S, Saperstein S, Gold R. Content and Feature Preferences for a Physical Activity App for Adults with Physical Disabilities: Focus Group Findings (Preprint). JMIR mHealth and uHealth 2019 View
  13. Marco-Ruiz L, Wynn R, Oyeyemi S, Budrionis A, Yigzaw K, Bellika J. Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study. Journal of Medical Internet Research 2020;22(3):e13116 View
  14. 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
  15. Lozano-Lozano M, Galiano-Castillo N, Martín-Martín L, Pace-Bedetti N, Fernández-Lao C, Arroyo-Morales M, Cantarero-Villanueva I. Monitoring Energy Balance in Breast Cancer Survivors Using a Mobile App: Reliability Study. JMIR mHealth and uHealth 2018;6(3):e67 View
  16. Recio-Rodriguez J, Agudo-Conde C, Martin-Cantera C, González-Viejo M, Fernandez-Alonso M, Arietaleanizbeaskoa M, Schmolling-Guinovart Y, Maderuelo-Fernandez J, Rodriguez-Sanchez E, Gomez-Marcos M, Garcia-Ortiz L. Short-Term Effectiveness of a Mobile Phone App for Increasing Physical Activity and Adherence to the Mediterranean Diet in Primary Care: A Randomized Controlled Trial (EVIDENT II Study). Journal of Medical Internet Research 2016;18(12):e331 View
  17. Chau M, Burgermaster M, Mamykina L. The use of social media in nutrition interventions for adolescents and young adults—A systematic review. International Journal of Medical Informatics 2018;120:77 View
  18. De Cock N, Vangeel J, Lachat C, Beullens K, Vervoort L, Goossens L, Maes L, Deforche B, De Henauw S, Braet C, Eggermont S, Kolsteren P, Van Camp J, Van Lippevelde W. Use of Fitness and Nutrition Apps: Associations With Body Mass Index, Snacking, and Drinking Habits in Adolescents. JMIR mHealth and uHealth 2017;5(4):e58 View
  19. Wu H, Gal R, van Sleeuwen N, Brombacher A, IJsselsteijn W, May A, Monninkhof E. Breast Cancer Survivors’ Experiences With an Activity Tracker Integrated Into a Supervised Exercise Program: Qualitative Study. JMIR mHealth and uHealth 2019;7(2):e10820 View
  20. Cushing C, Fedele D, Brannon E, Kichline T. Parents’ Perspectives on the Theoretical Domains Framework Elements Needed in a Pediatric Health Behavior App: A Crowdsourced Social Validity Study. JMIR mHealth and uHealth 2018;6(12):e192 View
  21. Davis A, Ellis R. A quasi-experimental investigation of college students’ ratings of two physical activity mobile apps with varied behavior change technique quantity. DIGITAL HEALTH 2019;5:205520761989134 View
  22. 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
  23. Rigamonti L, Albrecht U, Lutter C, Tempel M, Wolfarth B, Back D. Potentials of Digitalization in Sports Medicine: A Narrative Review. Current Sports Medicine Reports 2020;19(4):157 View
  24. Bihuniak J, Bryant T, Kleiman J, Rotondo M, Decoteau J, Haisley S, Monserrate D, Cunningham M, MacKenzie A, Dauz S, Ippolito R, Fernandes N, LaRose J, Leahey T. Behavioural weight loss treatment preferences of college students with overweight and obesity. Clinical Obesity 2020;10(1) View
  25. Castellano-Tejedor C, Moreno J, Ciudin A, Parramón G, Lusilla-Palacios P. PREventive Care Infrastructure based On Ubiquitous Sensing (PRECIOUS): A Study Protocol. JMIR Research Protocols 2017;6(5):e105 View
  26. Karduck J, Chapman-Novakofski K. Results of the Clinician Apps Survey, How Clinicians Working With Patients With Diabetes and Obesity Use Mobile Health Apps. Journal of Nutrition Education and Behavior 2018;50(1):62 View
  27. Angosto S, García-Fernández J, Valantine I, Grimaldi-Puyana M. The Intention to Use Fitness and Physical Activity Apps: A Systematic Review. Sustainability 2020;12(16):6641 View
  28. Meis J, Kashima Y, Manalo E. Signage as a tool for behavioral change: Direct and indirect routes to understanding the meaning of a sign. PLOS ONE 2017;12(8):e0182975 View
  29. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039 View
  30. Recio-Rodriguez J, Agudo Conde C, Calvo-Aponte M, Gonzalez-Viejo N, Fernandez-Alonso C, Mendizabal-Gallastegui N, Rodriguez-Martin B, Maderuelo-Fernandez J, Rodriguez-Sanchez E, Gomez-Marcos M, Garcia-Ortiz L. The Effectiveness of a Smartphone Application on Modifying the Intakes of Macro and Micronutrients in Primary Care: A Randomized Controlled Trial. The EVIDENT II Study. Nutrients 2018;10(10):1473 View
  31. Hirano R, Yamaguchi S, Waki K, Kimura Y, Chin K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e13866 View
  32. Jacobsen L, Stancu V, Wang Q, Aschemann-Witzel J, Lähteenmäki L. Connecting food consumers to organisations, peers, and technical devices: The potential of interactive communication technology to support consumers’ value creation. Trends in Food Science & Technology 2021;109:622 View
  33. 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
  34. Choi J, Chung C, Woo H. Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment. International Journal of Environmental Research and Public Health 2021;18(7):3496 View
  35. Yin Q, Li L, Yan Z, Guo C. Understanding the effects of self-peer-platform incentives on users' physical activity in mobile fitness apps: the role of gender. Information Technology & People 2022;35(3):1054 View
  36. Nibbeling N, Simons M, Sporrel K, Deutekom M. A Focus Group Study Among Inactive Adults Regarding the Perceptions of a Theory-Based Physical Activity App. Frontiers in Public Health 2021;9 View
  37. König L, Attig C, Franke T, Renner B. Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework. JMIR mHealth and uHealth 2021;9(6):e20037 View
  38. Tonkin E, Brimblecombe J, Wycherley T. Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review. Advances in Nutrition 2017;8(2):308 View
  39. 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
  40. Mao C, Bayer J, Ross M, Rhee L, Le H, Mount J, Chang H, Chang Y, Hedstrom A, Hovick S. Perceived vs. observed mHealth behavior: A naturalistic investigation of tracking apps and daily movement. Mobile Media & Communication 2023;11(3):526 View
  41. Chew H, Lim S, Kim G, Kayambu G, So B, Shabbir A, Gao Y. Essential elements of weight loss apps for a multi-ethnic population with high BMI: a qualitative study with practical recommendations. Translational Behavioral Medicine 2023 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. Kumar D, Bhardwaj A, Sharma S, Malhotra B, Amadi-Mgbenka C, Grover A, Joshi A. Designing and Evaluating a Personalized, Human-Centered Dietary Decision Support System for Use Among People With Diabetes in an Indian Setting: Protocol for a Quasi-Experimental Study. JMIR Research Protocols 2022;11(3):e13635 View
  44. Burton J, Regala S, Williams D, Desai A, He H, Aalami O, Mariano E, Stafford R, Mudumbai S. A Comparative Utility Score for Digital Health Tools. Journal of Medical Systems 2022;46(6) View
  45. Modrzejewska J, Modrzejewska A, Czepczor-Bernat K, Matusik P, Mahmoud A. The role of body mass index, healthy eating-related apps and educational activities on eating motives and behaviours among women during the COVID-19 pandemic: A cross sectional study. PLOS ONE 2022;17(3):e0266016 View
  46. Fewings A, Vandelanotte C, Irwin C, Ting C, Williams E, Khalesi S. The use and acceptability of diet-related apps and websites in Australia: Cross-sectional study. DIGITAL HEALTH 2022;8:205520762211390 View
  47. Souza S, da Silva D, Nagpal T, Semeniuk K, Ferraro Z, Redman L, Shen G, Adamo K. The short-term effect of a mHealth intervention on gestational weight gain and health behaviors: The SmartMoms Canada pilot study. Physiology & Behavior 2022;257:113977 View
  48. van der Haar S, Raaijmakers I, Verain M, Meijboom S. Consumers’ needs in nutrition apps to start and maintain usage: a mixed methods study (Preprint). JMIR mHealth and uHealth 2022 View
  49. Ferretti A, Hubbs S, Vayena E. Global youth perspectives on digital health promotion: a scoping review. BMC Digital Health 2023;1(1) View
  50. Venkataramanan R, Padhee S, Rao S, Kaoshik R, Sundara Rajan A, Sheth A. Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning. Frontiers in Big Data 2023;6 View
  51. Eguchi A, Kawamura Y, Kawashima T, Ghaznavi C, Ishimura K, Kohsaka S, Matsuo S, Mizuno S, Sasaki Y, Takahashi A, Tanoue Y, Yoneoka D, Miyata H, Nomura S. The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study. JMIR Formative Research 2023;7:e48435 View
  52. Abdul Khalil N, Mohd Mydin F, Moy F, Diviani N. Healthy adults’ views and experiences on behavior change strategies in mobile applications for diet monitoring: A single centre qualitative study. PLOS ONE 2023;18(11):e0292390 View
  53. O’Brien T, Rose K, Focht B, Al Kahlout N, Jensen T, Heareth K, Nori U, Daloul R. The feasibility of Technology, Application, Self-Management for Kidney (TASK) intervention in post-kidney transplant recipients using a pre/posttest design. Pilot and Feasibility Studies 2023;9(1) View
  54. Haworth L, Danes-Daetz C, Stainton P, Birdsall D, Chohan A. Promoting physical activity for health benefits via a 10-week mobile-application-based personal training programme. International Journal of Health Promotion and Education 2024:1 View

Books/Policy Documents

  1. Bhattacharjee R, Hussein T. Encyclopedia of Cardiovascular Research and Medicine. View
  2. Lozano-Lozano M, Moral-Munoz J, Galiano-Castillo N, Martín-Martín L, Fernández-Lao C, Arroyo-Morales M, Cantarero-Villanueva I. Advances in Computational Intelligence. View
  3. Nuthakki S, Bucher S, Purkayastha S. HCI International 2019 – Late Breaking Posters. View
  4. Bhattacharjee R. Reference Module in Biomedical Sciences. View
  5. Giazitzi K, Karathanos V, Boskou G. Quality Assurance in the Era of Individualized Medicine. View
  6. Nagini S, Nalluri S, Reddy B, Lekha A. Machine Learning Technologies and Applications. View
  7. Parra M, Favela J, Castro L. Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). View
  8. Lloyd N, Khuman A. Artificial Intelligence in Healthcare. View
  9. Würth S, Hupfeld H. Aktives Altern im digitalen Zeitalter. View