This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2743) Demographics of Users, Social & Digital Divide (679) Quantified Self and Wellness (71) Use and User Demographics of mHealth (311) Fitness Trackers and Smart Pedometers/Accelerometers (541)

Published on in Vol 6, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9189, first published .
Digital Inequalities in the Use of Self-Tracking Diet and Fitness Apps: Interview Study on the Influence of Social, Economic, and Cultural Factors

Digital Inequalities in the Use of Self-Tracking Diet and Fitness Apps: Interview Study on the Influence of Social, Economic, and Cultural Factors

Digital Inequalities in the Use of Self-Tracking Diet and Fitness Apps: Interview Study on the Influence of Social, Economic, and Cultural Factors

Authors of this article:

Faustine Régnier1 Author Orcid Image ;   Louis Chauvel2 Author Orcid Image
Article Authors Cited by (34) Tweetations (9) Metrics

Journals

  1. Régnier F, Dugré M, Darcel N, Adamiec C. Providing a Smart Healthy Diet for the Low-Income Population: Qualitative Study on the Usage and Perception of a Designed Cooking App. JMIR mHealth and uHealth 2018;6(11):e11176 View
  2. Turchioe M, Heitkemper E, Lor M, Burgermaster M, Mamykina L. Designing for engagement with self-monitoring: A user-centered approach with low-income, Latino adults with Type 2 Diabetes. International Journal of Medical Informatics 2019;130:103941 View
  3. DeSmet A, De Bourdeaudhuij I, Chastin S, Crombez G, Maddison R, Cardon G. Adults’ Preferences for Behavior Change Techniques and Engagement Features in a Mobile App to Promote 24-Hour Movement Behaviors: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2019;7(12):e15707 View
  4. Li L, Peng W. Does Health Information Technology Promote Healthy Behaviors? The Mediating Role of Self-Regulation. Health Communication 2020;35(14):1772 View
  5. 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
  6. Gómez-del-Río N, González-González C, Toledo-Delgado P, Muñoz-Cruz V, García-Peñalvo F. Health Promotion for Childhood Obesity: An Approach Based on Self-Tracking of Data. Sensors 2020;20(13):3778 View
  7. Reading Turchioe M, Burgermaster M, Mitchell E, Desai P, Mamykina L. Adapting the stage-based model of personal informatics for low-resource communities in the context of type 2 diabetes. Journal of Biomedical Informatics 2020;110:103572 View
  8. Connor S. Underreporting of Dietary Intake: Key Issues for Weight Management Clinicians. Current Cardiovascular Risk Reports 2020;14(10) View
  9. 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
  10. 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
  11. 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
  12. Régnier F, Adamiec C. Les outils numériques pour réduire la fracture alimentaire ? Étude sociologique de deux dispositifs à destination des catégories modestes. Cahiers de Nutrition et de Diététique 2019;54(6):326 View
  13. Odero A, Pongy M, Chauvel L, Voz B, Spitz E, Pétré B, Baumann M. Core Values that Influence the Patient—Healthcare Professional Power Dynamic: Steering Interaction towards Partnership. International Journal of Environmental Research and Public Health 2020;17(22):8458 View
  14. Paccoud I, Baumann M, Le Bihan E, Pétré B, Breinbauer M, Böhme P, Chauvel L, Leist A. Socioeconomic and behavioural factors associated with access to and use of Personal Health Records. BMC Medical Informatics and Decision Making 2021;21(1) View
  15. Cai J, Zhao Y, Sun J. Factors Influencing Fitness App Users’ Behavior in China. International Journal of Human–Computer Interaction 2022;38(1):53 View
  16. Feng S, Mäntymäki M, Dhir A, Salmela H. How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review. Journal of Medical Internet Research 2021;23(9):e25171 View
  17. Mata-Greve F, Johnson M, Pullmann M, Friedman E, Griffith Fillipo I, Comtois K, Arean P. Mental Health and the Perceived Usability of Digital Mental Health Tools Among Essential Workers and People Unemployed Due to COVID-19: Cross-sectional Survey Study. JMIR Mental Health 2021;8(8):e28360 View
  18. Bouzo V, Plourde H, Beckenstein H, Cohen T, Cahill N. Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis. Canadian Journal of Dietetic Practice and Research 2022;83(1):25 View
  19. Kay M, Miller H, Askew S, Spaulding E, Chisholm M, Christy J, Yang Q, Steinberg D. Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus 2022;1(2):100037 View
  20. Das S, Miki A, Blanchard C, Sazonov E, Gilhooly C, Dey S, Wolk C, Khoo C, Hill J, Shook R. Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints. Advances in Nutrition 2022;13(1):1 View
  21. Hardey M. Tracking the trackers: Self-tracking in households as social practice. DIGITAL HEALTH 2022;8:205520762210931 View
  22. Militello L, Sobolev M, Okeke F, Adler D, Nahum-Shani I. Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study. JMIR Formative Research 2022;6(3):e30606 View
  23. Findeis C, Salfeld B, Voigt S, Gerisch B, King V, Ostern A, Rosa H. Quantifying self-quantification: A statistical study on individual characteristics and motivations for digital self-tracking in young- and middle-aged adults in Germany. New Media & Society 2023;25(9):2300 View
  24. Saraceno M. L’a-rationalité de l’auto-quantification des efforts physiques. Enquête sur la diffusion d’instruments de self-tracking dans les pratiques de course et marche rapide à visée d’entretien de soi. Loisir et Société / Society and Leisure 2022;45(3):466 View
  25. Baumann M, Weinberger N, Maia M, Schmid K. User types, psycho-social effects and societal trends related to the use of consumer health technologies. DIGITAL HEALTH 2023;9:205520762311639 View
  26. Thomé C. Les « méthodes naturelles » de contraception. Cahiers du Genre 2022;n° 72(1):143 View
  27. Presset B, Ohl F. The social grounds of self-tracking in insurance: A mixed-method approach to adoption and use. DIGITAL HEALTH 2023;9:205520762311807 View
  28. Thomé C. Quantifier le corps menstrué. Réseaux 2023;N° 241(5):275 View
  29. Czegledi O, Beaucousin S, Caballero-Julià D, Campillo P. Digitalization in Trail Running: Digital Tools as Sustainable Outdoor Infrastructure. Sustainability 2023;15(14):11085 View
  30. Connelly Y, Lewis N, Talmud I, Kaplan G. Information processing likelihood, eHealth literacy, and complexity of seeking strategies as predictors of health decision-making quality. New Media & Society 2023 View

Books/Policy Documents

  1. Régnier F. Food and Health. View
  2. Scaria-Braunstein K, Hiden R. Gesundheit – Konventionen – Digitalisierung. View
  3. Ancker J, Turchioe M. Clinical Decision Support and Beyond. View
  4. . Experience in Healthcare Innovation. View