scholarly journals Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review

10.2196/11170 ◽  
2018 ◽  
Vol 6 (11) ◽  
pp. e11170 ◽  
Author(s):  
Susan M Schembre ◽  
Yue Liao ◽  
Sydney G O'Connor ◽  
Melanie D Hingle ◽  
Shu-En Shen ◽  
...  
2018 ◽  
Author(s):  
Susan M Schembre ◽  
Yue Liao ◽  
Sydney G O'Connor ◽  
Melanie D Hingle ◽  
Shu-En Shen ◽  
...  

BACKGROUND New methods for assessing diet in research are being developed to address the limitations of traditional dietary assessment methods. Mobile device–assisted ecological momentary diet assessment (mEMDA) is a new dietary assessment method that has not yet been optimized and has the potential to minimize recall biases and participant burden while maximizing ecological validity. There have been limited efforts to characterize the use of mEMDA in behavioral research settings. OBJECTIVE The aims of this study were to summarize mEMDA protocols used in research to date, to characterize key aspects of these assessment approaches, and to discuss the advantages and disadvantages of mEMDA compared with the traditional dietary assessment methods as well as implications for future mEMDA research. METHODS Studies that used mobile devices and described mEMDA protocols to assess dietary intake were included. Data were extracted according to Preferred Reporting of Systematic Reviews and Meta-Analyses and Cochrane guidelines and then synthesized narratively. RESULTS The review included 20 studies with unique mEMDA protocols. Of these, 50% (10/20) used participant-initiated reports of intake at eating events (event-contingent mEMDA), and 50% (10/20) used researcher-initiated prompts requesting that participants report recent dietary intake (signal-contingent mEMDA). A majority of the study protocols (60%, 12/20) enabled participants to use mobile phones to report dietary data. Event-contingent mEMDA protocols most commonly assessed diet in real time, used dietary records for data collection (60%, 6/10), and provided estimates of energy and nutrient intake (60%, 6/10). All signal-contingent mEMDA protocols used a near real-time recall approach with unannounced (ie, random) abbreviated diet surveys. Most signal-contingent protocols (70%, 7/10) assessed the frequency with which (targeted) foods or food groups were consumed. Relatively few (30%, 6/20) studies compared mEMDA with the traditional dietary assessment methods. CONCLUSIONS This review demonstrates that mEMDA has the potential to reduce participant burden and recall bias, thus advancing the field beyond current dietary assessment methods while maximizing ecological validity.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 824-P
Author(s):  
SOOHYUN NAM ◽  
ROBIN WHITTEMORE ◽  
DAVID VLAHOV ◽  
GENEVIEVE DUNTON

Author(s):  
Monther M. Elaish ◽  
Liyana Shuib ◽  
Gwo-Jen Hwang ◽  
Norjihan Abdul Ghani ◽  
Elaheh Yadegaridehkordi ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2696 ◽  
Author(s):  
Andrea Maugeri ◽  
Martina Barchitta

The ecological momentary assessment (EMA) of eating behaviors represents an innovative, detailed and valid approach to capture the complexity of food intake and to overcome limitations of traditional dietary assessment methods. Moreover, EMA studies might generate a large variety of data (e.g., dietary, behavioral, physical, sociopsychological, and contextual information), thereby enabling to examine concurrent exposures and events. Due to the increasing number of studies in this field of research, here we systematically reviewed EMA methods for the assessment of dietary intake in epidemiological studies, and discussed implications and perspectives for future research. Our study summarized several protocols and platforms that may be applied to assess diet in terms of eating frequency, choices, and habits. Nearly 38% of studies used an event-contingent strategy by asking participants to report foods and beverages consumed in real-time at each eating occasion. Instead, approximately 55% of studies used a signal-contingent prompting approach that notified the participants to record their dietary consumption. The remaining studies used a combination of event- and signal-contingent protocols to compare their accuracy or to improve the assessment of dietary data. Although both approaches might improve the accuracy and ecological validity of dietary assessment—also reducing the burden for participants—some limitations should nevertheless be considered. Despite these limitations, our systematic review pointed out that EMA can be applied in various fields of nutritional epidemiology, from the identification of determinants of dietary habits in healthy people to the management of patients with eating or metabolic disorders. However, more efforts should be encouraged to improve the validity and the reliability of EMA and to provide further technological innovations for public health research and interventions.


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