The Usability and Feasibility of a Dietary Intake Self-Monitoring Application in a Population with Varying Literacy Levels
People with different literacy skills can effectively use icon-based interfaces for portion size estimation and develop personalized usage patterns to self-regulate their fluid and dietary intakes. Moreover, they can experience an enhancement in their dietary self-efficacy skills by using a mobile application aimed at providing nutritional feedback. Furthermore, this research shows that the constructs of the ITHBC are effective in promoting dietary behavior change in a population with varying literacy skills. The target users can benefit from explicitly visualizing the relationship between their health outcomes and the factors influencing those outcomes. These user ambitions could be supported by developing machine learning models. Future research should also focus on enhancing the mechanisms by which technology can further enhance each component of the ITHBC framework.
Authors
- Kay Connelly (ORCID: https://orcid.org/0000-0002-6201-9175)
- Katie A. Siek (ORCID: https://orcid.org/0000-0001-8632-2411)
- Beenish Moalla Chaudhry (ORCID: https://orcid.org/0000-0002-0437-6924)
Institutions
- Indiana University Bloomington (US)
- University of Louisiana at Lafayette (US)
- Michigan State University (US)
Publication Details
- Journal
- Journal of Personalized Medicine
- Published
- 2024-09-20
- DOI
- https://doi.org/10.3390/jpm14091001
- Citations
- 2
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.70
Funders
- Purdue University