Schembre Susan M, Liao Yue, O'Connor Sydney G, Hingle Melanie D, Shen Shu-En, Hamoy Katarina G, Huh Jimi, Dunton Genevieve F, Weiss Rick, Thomson Cynthia A, Boushey Carol J
Department of Behavioral Science, Division of Cancer Control and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Department of Family and Community Medicine, College of Medicine-Tucson, University of Arizona, Tucson, AZ, United States.
JMIR Mhealth Uhealth. 2018 Nov 20;6(11):e11170. doi: 10.2196/11170.
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.
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.
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.
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.
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.
为克服传统饮食评估方法的局限性，研究中正在开发新的饮食评估方法。移动设备辅助的生态瞬时饮食评估（mEMDA）是一种尚未优化的新型饮食评估方法，它有可能在将生态效度最大化的同时，将回忆偏倚和参与者负担降至最低。在行为研究环境中，对mEMDA使用情况进行描述的工作一直有限。
本研究旨在总结迄今为止研究中使用的mEMDA方案，描述这些评估方法的关键方面，并讨论mEMDA与传统饮食评估方法相比的优缺点以及对未来mEMDA研究的启示。
纳入使用移动设备并描述mEMDA方案以评估饮食摄入量的研究。根据系统评价和Meta分析的首选报告以及Cochrane指南提取数据，然后进行叙述性综合分析。
该综述纳入了20项采用独特mEMDA方案的研究。其中，50%（10/20）使用参与者主动报告进食事件时的摄入量（事件依存性mEMDA），50%（10/20）使用研究人员发起的提示，要求参与者报告近期饮食摄入量（信号依存性mEMDA）。大多数研究方案（60%，12/20）使参与者能够使用手机报告饮食数据。事件依存性mEMDA方案最常实时评估饮食，使用饮食记录进行数据收集（60%，6/10），并提供能量和营养素摄入量的估计值（60%，6/10）。所有信号依存性mEMDA方案都采用近实时回忆方法，进行未事先通知（即随机）的简短饮食调查。大多数信号依存性方案（70%，7/10）评估（目标）食物或食物组的消费频率。相对较少（30%，6/20）的研究将mEMDA与传统饮食评估方法进行了比较。
本综述表明，mEMDA有潜力减轻参与者负担并减少回忆偏倚，从而在将生态效度最大化的同时，推动该领域超越当前的饮食评估方法。
