This paper is in the following e-collection/theme issue:

Ecological Momentary Assessment (EMA) (321) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847) Innovations and Technology for Healthy Eating Education (425) Instruments and Questionnaires for Nutrition and Food Intake (169) mHealth for Wellness, Behavior Change and Prevention (2922)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15430, first published .
Occurrence of and Reasons for “Missing Events” in Mobile Dietary Assessments: Results From Three Event-Based Ecological Momentary Assessment Studies

Occurrence of and Reasons for “Missing Events” in Mobile Dietary Assessments: Results From Three Event-Based Ecological Momentary Assessment Studies

Occurrence of and Reasons for “Missing Events” in Mobile Dietary Assessments: Results From Three Event-Based Ecological Momentary Assessment Studies

Authors of this article:

Katrin Ziesemer1 Author Orcid Image ;   Laura Maria König1 Author Orcid Image ;   Carol Jo Boushey2 Author Orcid Image ;   Karoline Villinger1 Author Orcid Image ;   Deborah Ronja Wahl1 Author Orcid Image ;   Simon Butscher3 Author Orcid Image ;   Jens Müller3 Author Orcid Image ;   Harald Reiterer3 Author Orcid Image ;   Harald Thomas Schupp4 Author Orcid Image ;   Britta Renner1 Author Orcid Image
Article Authors Cited by (26) Tweetations (32) Metrics

Journals

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  2. König L, Koller J, Villinger K, Wahl D, Ziesemer K, Schupp H, Renner B. Investigating the Relationship between Perceived Meal Colour Variety and Food Intake across Meal Types in a Smartphone-Based Ecological Momentary Assessment. Nutrients 2021;13(3):755 View
  3. Goldstein S, Hoover A, Evans E, Thomas J. Combining ecological momentary assessment, wrist-based eating detection, and dietary assessment to characterize dietary lapse: A multi-method study protocol. DIGITAL HEALTH 2021;7 View
  4. Wunsch K, Eckert T, Fiedler J, Cleven L, Niermann C, Reiterer H, Renner B, Woll A. Effects of a Collective Family-Based Mobile Health Intervention Called “SMARTFAMILY” on Promoting Physical Activity and Healthy Eating: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(11):e20534 View
  5. Villinger K, Wahl D, Schupp H, Renner B, Stieger S. Memorable meals: The memory-experience gap in day-to-day experiences. PLOS ONE 2021;16(3):e0249190 View
  6. Brandes M, Muellmann S, Allweiss T, Bauer U, Bethmann A, Forberger S, Frense J, Gelius P, Pfeifer K, Okan O, Renner B, Schupp H, Wright M, Zeeb H. Evidenzbasierung in Primärprävention und Gesundheitsförderung: Methoden und Vorgehensweisen in 5 Forschungsverbünden. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2021;64(5):581 View
  7. Goldstein S, Thomas J, Brick L, Zhang F, Forman E. Identifying behavioral types of dietary lapse from a mobile weight loss program: Preliminary investigation from a secondary data analysis. Appetite 2021;166:105440 View
  8. König L, Van Emmenis M, Nurmi J, Kassavou A, Sutton S. Characteristics of smartphone-based dietary assessment tools: a systematic review. Health Psychology Review 2022;16(4):526 View
  9. Pasta A, Petersen M, Jensen K, Pontoppidan N, Larsen J, Christensen J. Measuring and modeling context-dependent preferences for hearing aid settings. User Modeling and User-Adapted Interaction 2022;32(5):977 View
  10. Kendall A, Robinson C, Diviak K, Hedeker D, Mermelstein R. Introducing a Real-Time Method for Identifying the Predictors of Noncompliance with Event-Based Reporting of Tobacco Use in Ecological Momentary Assessment. Annals of Behavioral Medicine 2023;57(5):399 View
  11. Ponnada A, Li J, Wang S, Wang W, Do B, Dunton G, Intille S. Contextual Biases in Microinteraction Ecological Momentary Assessment (μEMA) Non-response. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(1):1 View
  12. Burke L, Naylor G. Smartphone App–Based Noncontact Ecological Momentary Assessment With Experienced and Naïve Older Participants: Feasibility Study. JMIR Formative Research 2022;6(3):e27677 View
  13. Moshfegh A, Rhodes D, Martin C. National Food Intake Assessment: Technologies to Advance Traditional Methods. Annual Review of Nutrition 2022;42(1):401 View
  14. Roordink E, Steenhuis I, Kroeze W, Hoekstra T, Jacobs N, van Stralen M. Social Environmental Predictors of Lapse in Dietary Behavior: An Ecological Momentary Assessment Study Amongst Dutch Adults Trying to Lose Weight. Annals of Behavioral Medicine 2023;57(8):620 View
  15. König L, Allmeta A, Christlein N, Van Emmenis M, Sutton S. A systematic review and meta-analysis of studies of reactivity to digital in-the-moment measurement of health behaviour. Health Psychology Review 2022;16(4):551 View
  16. van der Haar S, Raaijmakers I, Verain M, Meijboom S. Consumers’ needs in nutrition apps to start and maintain usage: a mixed methods study (Preprint). JMIR mHealth and uHealth 2022 View
  17. Renner B, Buyken A, Gedrich K, Lorkowski S, Watzl B, Linseisen J, Daniel H, Conrad J, Ferrario P, Holzapfel C, Leitzmann M, Richter M, Simon M, Sina C, Wirsam J. Perspective: A Conceptual Framework for Adaptive Personalized Nutrition Advice Systems (APNASs). Advances in Nutrition 2023;14(5):983 View
  18. Edney S, Goh C, Chua X, Low A, Chia J, S Koek D, Cheong K, van Dam R, Tan C, Müller-Riemenschneider F. Evaluating the Effects of Rewards and Schedule Length on Response Rates to Ecological Momentary Assessment Surveys: Randomized Controlled Trials. Journal of Medical Internet Research 2023;25:e45764 View
  19. Tonkin S, Gass J, Wray J, Maguin E, Mahoney M, Colder C, Tiffany S, Hawk Jr L. Evaluating Declines in Compliance With Ecological Momentary Assessment in Longitudinal Health Behavior Research: Analyses From a Clinical Trial. Journal of Medical Internet Research 2023;25:e43826 View
  20. Ocké M, Dinnissen C, van den Bogaard C, Beukers M, Drijvers J, Sanderman-Nawijn E, van Rossum C, Toxopeus I. A Smartphone Food Record App Developed for the Dutch National Food Consumption Survey: Relative Validity Study. JMIR mHealth and uHealth 2024;12:e50196 View
  21. Wunsch K, Fiedler J, Hubenschmid S, Reiterer H, Renner B, Woll A. An mHealth Intervention Promoting Physical Activity and Healthy Eating in a Family Setting (SMARTFAMILY): Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e51201 View
  22. Fernandez I, Yang Y, Chang W, Kautz A, Farchaus Stein K. Developing Components of an Integrated mHealth Dietary Intervention for Mexican Immigrant Farmworkers: Feasibility Usability Study of a Food Photography Protocol for Dietary Assessment. JMIR Formative Research 2024;8:e54664 View
  23. Goldstein S, Mwenda K, Hoover A, Shenkle O, Jones R, Thomas J. The Fully Understanding Eating and Lifestyle Behaviors (FUEL) trial: Protocol for a cohort study harnessing digital health tools to phenotype dietary non-adherence behaviors during lifestyle intervention. DIGITAL HEALTH 2024;10 View
  24. Compernolle S, Vetrovsky T, Maes I, Delobelle J, Lebuf E, De Vylder F, Cnudde K, Van Cauwenberg J, Poppe L, Van Dyck D. Older adults’ compliance with mobile ecological momentary assessments in behavioral nutrition and physical activity research: pooled results of four intensive longitudinal studies and recommendations for future research. International Journal of Behavioral Nutrition and Physical Activity 2024;21(1) View
  25. Giese H, König L. The Impact of Incentivization on Recruitment, Retention, Data Quality, and Participant Characteristics in Ecological Momentary Assessments. Journal of Trial and Error 2024 View
  26. Alnooh G, AlTamimi J, Williams E, Hawley M. An Investigation of the Feasibility and Acceptability of Using a Commercial DASH (Dietary Approaches to Stop Hypertension) App in People With High Blood Pressure: Mixed Methods Study. JMIR Formative Research 2024;8:e60037 View