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

Innovations and Technology for Healthy Eating Education (423) mHealth for Data Collection and Research (973) Web-based and Mobile Health Interventions (3342) Instruments and Questionnaires for Nutrition and Food Intake (167) Behavior Change (718) Mobile Health (mhealth) (2972) mHealth for Wellness, Behavior Change and Prevention (2910) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (841)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25850, first published .
Studying Microtemporal, Within-Person Processes of Diet, Physical Activity, and Related Factors Using the APPetite-Mobile-App: Feasibility, Usability, and Validation Study

Studying Microtemporal, Within-Person Processes of Diet, Physical Activity, and Related Factors Using the APPetite-Mobile-App: Feasibility, Usability, and Validation Study

Studying Microtemporal, Within-Person Processes of Diet, Physical Activity, and Related Factors Using the APPetite-Mobile-App: Feasibility, Usability, and Validation Study

Authors of this article:

Alea Ruf1 Author Orcid Image ;   Elena Doris Koch2 Author Orcid Image ;   Ulrich Ebner-Priemer2, 3 Author Orcid Image ;   Monika Knopf4 Author Orcid Image ;   Andreas Reif1 Author Orcid Image ;   Silke Matura1 Author Orcid Image
Article Authors Cited by (9) Tweetations (12) Metrics

Journals

  1. Ruf A, Neubauer A, Ebner-Priemer U, Reif A, Matura S. Studying dietary intake in daily life through multilevel two-part modelling: a novel analytical approach and its practical application. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  2. Ruf A, Neubauer A, Koch E, Ebner‐Priemer U, Reif A, Matura S. Individual differences in the dietary response to stress in ecological momentary assessment: Does the individual‐difference model need expansion?. Applied Psychology: Health and Well-Being 2023;15(2):629 View
  3. Pape M, Färber T, Seiferth C, Roth T, Schroeder S, Wolstein J, Herpertz S, Steins-Loeber S. A Tailored Gender-Sensitive mHealth Weight Loss Intervention (I-GENDO): Development and Process Evaluation. JMIR Formative Research 2022;6(10):e38480 View
  4. Steinmann A, Ruf A, Ahrens K, Reif A, Matura S. Bacon, Brownie, or Broccoli? Beliefs about Stress-Relieving Foods and Their Relationship to Orthorexia Nervosa. Nutrients 2022;14(18):3673 View
  5. Ruf A, Neubauer A, Koch E, Ebner-Priemer U, Reif A, Matura S. Microtemporal Dynamics of Dietary Intake, Physical Activity, and Impulsivity in Adult Attention-Deficit/Hyperactivity Disorder: Ecological Momentary Assessment Study Within Nutritional Psychiatry. JMIR Mental Health 2023;10:e46550 View
  6. Chen Z, Siegel L, Prutzman Y, Wiseman K. Characterizing perceived usability and its correlation with smoking cessation: An analysis of user assessments of the smoking cessation app quitSTART. Internet Interventions 2024;35:100714 View
  7. Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. International Journal of Medical Informatics 2024;184:105351 View
  8. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View
  9. Barnett A, Mayr H, Keating S, Conley M, Webb L, Jegatheesan D, Staudacher H, Macdonald G, Kelly J, Campbell K, Hickman I. Use of digital food records in clinical settings: lessons in translation from a randomised controlled trial. Journal of Human Nutrition and Dietetics 2025;38(1) View