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

eHealth Literacy / Digital Literacy (356) Innovations and Technology for Physical Activity Education (702) Quantified Self and Wellness (71) Fitness Trackers and Smart Pedometers/Accelerometers (541) Exercise and Diet Tracking for Diabetes Patients (78)

Published on in Vol 21, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13652, first published .
Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study

Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study

Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study

Authors of this article:

Pamela McKinney1 Author Orcid Image ;   Andrew Martin Cox1 Author Orcid Image ;   Laura Sbaffi1 Author Orcid Image
Article Authors Cited by (6) Tweetations (24) Metrics

Journals

  1. Ilhan A, Fietkiewicz K. Data privacy-related behavior and concerns of activity tracking technology users from Germany and the USA. Aslib Journal of Information Management 2020;73(2):180 View
  2. Lupton D. “Sharing Is Caring:” Australian Self-Trackers' Concepts and Practices of Personal Data Sharing and Privacy. Frontiers in Digital Health 2021;3 View
  3. 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
  4. Cox A, Fulton C. Geographies of information behaviour: a conceptual exploration. Journal of Documentation 2022;78(4):745 View
  5. Kabir K, Wiese J. A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics Systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
  6. Rogan J, Bucci S, Firth J. Health Care Professionals’ Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis. JMIR Mental Health 2024;11:e49577 View