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

mHealth for Data Collection and Research (955) Innovations and Technology for Healthy Eating Education (414) Instruments and Questionnaires for Nutrition and Food Intake (166) mHealth for Wellness, Behavior Change and Prevention (2872) Wearable Devices and Sensors (889)

Published on in Vol 8, No 7 (2020): July

This is a member publication of UC Davis - Shields Library, Davis, CA, USA

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16405, first published .
Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study

Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study

Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study

Authors of this article:

Sarah M Dimitratos1 Author Orcid Image ;   J Bruce German1 Author Orcid Image ;   Sara E Schaefer1 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

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  1. Wilson‐Barnes S, Gymnopoulos L, Dimitropoulos K, Solachidis V, Rouskas K, Russell D, Oikonomidis Y, Hadjidimitriou S, María Botana J, Brkic B, Mantovani E, Gravina S, Telo G, Lalama E, Buys R, Hassapidou M, Balula Dias S, Batista A, Perone L, Bryant S, Maas S, Cobello S, Bacelar P, Lanham‐New S, Hart K. PeRsOnalised nutriTion for hEalthy livINg: The PROTEIN project. Nutrition Bulletin 2021;46(1):77 View
  2. Sempionatto J, Montiel V, Vargas E, Teymourian H, Wang J. Wearable and Mobile Sensors for Personalized Nutrition. ACS Sensors 2021;6(5):1745 View
  3. Zhang X, Gao P, Snyder M. The Exposome in the Era of the Quantified Self. Annual Review of Biomedical Data Science 2021;4(1):255 View
  4. Nayak B, Bhattacharyya S, Kumar S, Jumnani R. Exploring the factors influencing adoption of health-care wearables among generation Z consumers in India. Journal of Information, Communication and Ethics in Society 2022;20(1):150 View
  5. Clifford G, Nguyen T, Shaw C, Newton B, Francis S, Salari M, Evans C, Jones C, Akintobi T, Taylor Jr H. An Open-Source Privacy-Preserving Large-Scale Mobile Framework for Cardiovascular Health Monitoring and Intervention Planning With an Urban African American Population of Young Adults: User-Centered Design Approach. JMIR Formative Research 2022;6(1):e25444 View
  6. Wong S, Tan Z, Cheng L, Lau S. Wearable technology-delivered lifestyle intervention amongst adults with overweight and obese: A systematic review and meta-regression. International Journal of Nursing Studies 2022;127:104163 View
  7. Mwangi V, Millard R, Histon W. Prevalent elements of consumer wellbeing in wearable technology use: An interdisciplinary systematic review and future research agenda. Psychology & Marketing 2024;41(5):1006 View
  8. Zhu Y, Zhang R, Yin S, Sun Y, Womer F, Liu R, Zeng S, Zhang X, Wang F. Digital Dietary Behaviors in Individuals With Depression: Real-World Behavioral Observation. JMIR Public Health and Surveillance 2024;10:e47428 View

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