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

mHealth for Data Collection and Research (955) Research Instruments, Questionnaires, and Tools (576) mHealth for Wellness, Behavior Change and Prevention (2872) Diagnostic Tools in Mental Health (242) New Diagnostic Tools and Instruments for Pediatrics (26)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25018, first published .
The Digital Marshmallow Test (DMT) Diagnostic and Monitoring Mobile Health App for Impulsive Behavior: Development and Validation Study

The Digital Marshmallow Test (DMT) Diagnostic and Monitoring Mobile Health App for Impulsive Behavior: Development and Validation Study

The Digital Marshmallow Test (DMT) Diagnostic and Monitoring Mobile Health App for Impulsive Behavior: Development and Validation Study

Authors of this article:

Michael Sobolev1, 2 Author Orcid Image ;   Rachel Vitale3 Author Orcid Image ;   Hongyi Wen1 Author Orcid Image ;   James Kizer1 Author Orcid Image ;   Robert Leeman4 Author Orcid Image ;   J P Pollak1 Author Orcid Image ;   Amit Baumel5 Author Orcid Image ;   Nehal P Vadhan2 Author Orcid Image ;   Deborah Estrin1 Author Orcid Image ;   Frederick Muench3 Author Orcid Image
Article Authors Cited by (11) Tweetations (15) Metrics

Journals

  1. Wen H, Sobolev M, Vitale R, Kizer J, Pollak J, Muench F, Estrin D. mPulse Mobile Sensing Model for Passive Detection of Impulsive Behavior: Exploratory Prediction Study. JMIR Mental Health 2021;8(1):e25019 View
  2. Smith A, Fowler L, Graham A, Jaworski B, Firebaugh M, Monterubio G, Vázquez M, DePietro B, Sadeh-Sharvit S, Balantekin K, Topooco N, Wilfley D, Taylor C, Fitzsimmons-Craft E. Digital Overload among College Students: Implications for Mental Health App Use. Social Sciences 2021;10(8):279 View
  3. Berko A, Bar-Sella A, Fisher H, Sobolev M, Pollak J, Zilcha-Mano S. Development and evaluation of the HRSD-D, an image-based digital measure of the Hamilton rating scale for depression. Scientific Reports 2022;12(1) View
  4. Militello L, Sobolev M, Okeke F, Adler D, Nahum-Shani I. Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study. JMIR Formative Research 2022;6(3):e30606 View
  5. Uvakina E, Kuzenkova L, Fisenko A, Popovich S. Features of the formation of cognitive and psychophysiological functions in children: experience of using a new software package. Russian Pediatric Journal 2022;24(6):365 View
  6. Veraksa N, Aslanova M, Tarasova K, Klimenko V. Technique for Diagnosing Cognitive Flexibility in Preschoolers: Comparison of Blank and Digital Forms. RUDN Journal of Psychology and Pedagogics 2023;20(1):105 View
  7. Zhang B, Dong L, Kong L, Liu M, Zhao Y, Hui M, Chu X. Prediction of Impulsive Aggression Based on Video Images. Bioengineering 2023;10(8):942 View
  8. 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
  9. Dali G, Poulton A, Chen L, Hester R. Extended ambulatory assessment of executive function: within-person reliability of working memory and inhibitory control tasks. Journal of Clinical and Experimental Neuropsychology 2024;46(5):436 View
  10. Pertl S, Srirangarajan T, Urminsky O. A multinational analysis of how emotions relate to economic decisions regarding time or risk. Nature Human Behaviour 2024;8(11):2139 View