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Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review
Susan M Schembre1,2, Yue Liao1, Sydney G O'Connor3
1Department of Behavioral Science, Division of Cancer Control and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Mobile device-assisted ecological momentary diet assessment (mEMDA) offers a promising alternative to traditional methods, reducing participant burden and recall bias. This approach enhances ecological validity in dietary research.
Area of Science:
- Nutritional Science
- Behavioral Science
- Health Informatics
Background:
- Traditional dietary assessment methods have limitations in accuracy and participant burden.
- Mobile device-assisted ecological momentary diet assessment (mEMDA) is an emerging technique to improve dietary data collection.
- Limited research has characterized mEMDA protocols in behavioral research.
Purpose of the Study:
- To systematically review existing mEMDA protocols in research.
- To identify key characteristics and variations in mEMDA approaches.
- To compare mEMDA with traditional methods and discuss future research implications.
Main Methods:
- A narrative synthesis of 20 studies employing mEMDA protocols for dietary intake assessment.
- Data extraction followed PRISMA and Cochrane guidelines.
- Included studies utilized mobile devices for dietary data collection.
Main Results:
- Half of the studies used event-contingent mEMDA (participant-initiated), and half used signal-contingent mEMDA (researcher-initiated).
- Most protocols (60%) allowed mobile phone use for data entry; event-contingent protocols often focused on real-time assessment and nutrient intake.
- Signal-contingent protocols typically involved random, abbreviated surveys assessing food frequency.
Conclusions:
- mEMDA demonstrates potential to significantly reduce participant burden and recall bias in dietary research.
- This method advances dietary assessment beyond traditional approaches by enhancing ecological validity.
- Further research is needed to optimize and expand the application of mEMDA.
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