Occurrence of and Reasons for “Missing Events” in Mobile Dietary Assessments: Results From Three Event-Based Ecological Momentary Assessment Studies
0301 basic medicine
Technology
Missing events
501002 Angewandte Psychologie
Ecological Momentary Assessment
dietary assessment; diet records; mobile phone; mobile applications; technology; adherence; compliance; missing events; Ecological Momentary Assessment; mHealth
Diet records
Information technology
MHealth
03 medical and health sciences
Mobile applications
501002 Applied psychology
Surveys and Questionnaires
Humans
Retrospective Studies
2. Zero hunger
Original Paper
T58.5-58.64
Mobile Applications
Diet
Adherence
Dietary assessment
Public aspects of medicine
RA1-1270
Mobile phone
info:eu-repo/classification/ddc/004
Compliance
DOI:
10.2196/15430
Publication Date:
2020-08-04T01:24:01Z
AUTHORS (10)
ABSTRACT
Background Establishing a methodology for assessing nutritional behavior comprehensively and accurately poses great challenge. Mobile technologies such as mobile image-based food recording apps enable eating events to be assessed in the moment real time, thereby reducing memory biases inherent retrospective records. However, users might find it challenging take images of they consume at every event over an extended period, which lead incomplete records (missing events). Objective Analyzing data from 3 studies that used varied their technical enrichment, this study aims assess how often (meals snacks) were missed period 8 days naturalistic setting by comparing number recorded with normative expected events, recollections missing events. Methods Participants event-based Ecological Momentary Assessment (EMA) using dietary assessments asked record all (study 1, N=38, 1070 events; 2, N=35, 934 3, N=110, 3469 Study 1 basic app; 2 included fixed reminder possibility add meals after actual occurred instead (addendum); reminders, addendum feature, option skipped meals. The recalled reasons semistructured interviews EMA (studies 2) daily questionnaires 3). Results Overall, 183 participants reported 5473 Although momentary adherence rate indexed comparison was generally high across studies, differential pattern results emerged higher logged more technically intensive 3. Multilevel models logging trajectories showed significant, albeit small, decline time (b=−.11 −.14, Ps<.001, pseudo-R²=0.04-0.06), mainly because drop snacks between 2. Intraclass coefficients indicated 38% or less observed variance individual differences. most common competing activities issues, whereas situational barriers important. Conclusions Three different indicators (normative, stability, events) consistently given nature diet protocols, effect sizes rather small remarkably stable. Moreover, individual’s state context seemed exert greater influence on rates than stable differences, emphasizes need nuanced understanding factors affect adherence.
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