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

Journals

  1. Szymczak H, Keller L, Debbeler L, Kollmann J, Lages N, Sproesser G, Gollwitzer P, Schupp H, Renner B. “I’m eating healthy now”: The relationship between perceived behavior change and diet. Food Quality and Preference 2021;89:104142 View
  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;7:205520762098821 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. Incorporating Consumers’ Needs in Nutrition Apps to Promote and Maintain Use: Mixed Methods Study. JMIR mHealth and uHealth 2023;11:e39515 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