Published on 20.04.18 in Vol 6, No 4 (2018): April
Works citing "Digital Inequalities in the Use of Self-Tracking Diet and Fitness Apps: Interview Study on the Influence of Social, Economic, and Cultural Factors"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9189):
(note that this is only a small subset of citations)
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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
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Turchioe MR, Heitkemper EM, 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
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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
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Li L, Peng W. Does Health Information Technology Promote Healthy Behaviors? The Mediating Role of Self-Regulation. Health Communication 2020;35(14):1772
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McKinney P, Cox AM, 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
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Gómez-del-Río N, González-González CS, Toledo-Delgado PA, Muñoz-Cruz V, García-Peñalvo F. Health Promotion for Childhood Obesity: An Approach Based on Self-Tracking of Data. Sensors 2020;20(13):3778
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Reading Turchioe M, Burgermaster M, Mitchell EG, Desai PM, 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
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. Underreporting of Dietary Intake: Key Issues for Weight Management Clinicians. Current Cardiovascular Risk Reports 2020;14(10)
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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
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. Australian women’s use of health and fitness apps and wearable devices: a feminist new materialism analysis. Feminist Media Studies 2020;20(7):983
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Kim K, Lee C, Hornik RC. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. Journal of Health Communication 2020;25(4):283
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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
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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
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Paccoud I, Baumann M, Le Bihan E, Pétré B, Breinbauer M, Böhme P, Chauvel L, Leist AK. Socioeconomic and behavioural factors associated with access to and use of Personal Health Records. BMC Medical Informatics and Decision Making 2021;21(1)
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Cai J, Zhao Y, Sun J. Factors Influencing Fitness App Users’ Behavior in China. International Journal of Human–Computer Interaction 2022;38(1):53
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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
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Mata-Greve F, Johnson M, Pullmann MD, Friedman EC, Griffith Fillipo I, Comtois KA, 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
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Bouzo V, Plourde H, Beckenstein H, Cohen TR, Cahill N. Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis. Canadian Journal of Dietetic Practice and Research 2022;83(1):25
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Kay MC, Miller HN, Askew S, Spaulding EM, Chisholm M, Christy J, Yang Q, Steinberg DM. Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus 2022;1(2):100037
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Das SK, Miki AJ, Blanchard CM, Sazonov E, Gilhooly CH, Dey S, Wolk CB, Khoo CSH, Hill JO, Shook RP. Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints. Advances in Nutrition 2022;13(1):1
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. Tracking the trackers: Self-tracking in households as social practice. DIGITAL HEALTH 2022;8:205520762210931
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Militello L, Sobolev M, Okeke F, Adler DA, 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
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Findeis C, Salfeld B, Voigt S, Gerisch B, King V, Ostern AR, 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
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. 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
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Baumann MF, 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
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. Les « méthodes naturelles » de contraception. Cahiers du Genre 2022;n° 72(1):143
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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
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. Quantifier le corps menstrué. Réseaux 2023;N° 241(5):275
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Czegledi O, Beaucousin S, Caballero-Julià D, Campillo P. Digitalization in Trail Running: Digital Tools as Sustainable Outdoor Infrastructure. Sustainability 2023;15(14):11085
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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;
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.9189):