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

Development and Evaluation of Research Methods, Instruments and Tools (1293) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1734) mHealth for Wellness, Behavior Change and Prevention (4237) Wearable Devices and Sensors (1553) Information Seeking, Information Needs (650) Obesity and Nutrition as Public Health Problem (580) Fitness Trackers and Smart Pedometers/Accelerometers (789) Obesity (137)

Published on in Vol 5, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23237, first published .
Woman checking smartwatch during workout with dumbbells and yoga mat

Introducing an Integrated Model of Adults’ Wearable Activity Tracker Use and Obesity Information–Seeking Behaviors From a National Quota Sample Survey

Introducing an Integrated Model of Adults’ Wearable Activity Tracker Use and Obesity Information–Seeking Behaviors From a National Quota Sample Survey

Authors of this article:

Bokyung Kim1 Author Orcid Image ;   Seoyeon Hong1 Author Orcid Image ;   Sungwook Kim2 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Yang Q, Al Mamun A, Reza M, Naznen F. Modelling the significance of value-belief-norm framework to predict mass adoption potentials of internet of things-enabled wearable fitness devices. Heliyon 2024;10(9):e30179 View
  2. Madhu S, Centrello J, Riopelle C. Trust in healthcare and wearable use among U.S. adults: A cross-sectional analysis of the 2022 Health Information National Trends Survey. DIGITAL HEALTH 2026;12 View