Is Burden Always Bad? Emerging Low-Burden Approaches to Mobile Dietary Self-monitoring and the Role Burden Plays with Engagement
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Long-term adherence to self-monitoring has been linked to habit formation.
“Long-term adherence to self-monitoring has been linked to habit formation, so using routinization, cues, implementation intentions, action planning, goal setting, and context-dependent repetition may improve adherence [128,129].”
From Lifestyle Medicine for Obesity in the Era of Highly Effective Anti-Obesity Treatment (2025) · cites this paper as [128]
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References 83 · Cited by 22
Research works printed but not linked: 1
- Edited by Frederick H. Kanfer and Arnold P. Goldstein. Oxford: Pergamon Press. 1980. Pp 600.£ 15.00,£ 6.30 paperback. The Brit- ish Journal of Psychiatry, 137(4), 392-392.
- Authors
- Turner-McGrievy, G. M., Yang, C.-H., Monroe, C., Pellegrini, C., & West, D. S.
- Affiliations
- University of South Carolina (US)
- ORCID
- Venue
- Journal of Technology in Behavioral Science
- Published
- 2021-04-09
- Volume
- 6
- Issue
- 3
- Pages
- 447-455
- ISSN
- 2366-5963 (ISSN-L)
- OpenAlex
- W3154062313
- Cited by
- 22
- References
- 83
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 5 · 2023: 3 · 2022: 4 · 2021: 3
- FWCI
- 4.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Technology in Behavioral Science (publishedVersion)
- Funders
- National Cancer Institute (R21CA18792901A1)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK056746)
- Academy of Nutrition and Dietetics Foundation (Amy Joye Memorial Research Award)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- dietary self-monitoring, mobile health, user burden, habit formation, wearable devices, weight loss interventions, user engagement
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