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

NIH funded proposals with peer-review reports (USA) (76) Digital Biomarkers and Digital Phenotyping (198) mHealth for Data Collection and Research (974) Innovations and Technology for Healthy Eating Education (423) Wearable Devices and Sensors (900)

Published on in Vol 11, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38294, first published .
Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study

Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study

Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study

Authors of this article:

Robyn E Kilshaw1 Author Orcid Image ;   Colin Adamo1 Author Orcid Image ;   Jonathan E Butner1 Author Orcid Image ;   Pascal R Deboeck1 Author Orcid Image ;   Qinxin Shi1 Author Orcid Image ;   Cynthia M Bulik2, 3, 4 Author Orcid Image ;   Rachael E Flatt4, 5 Author Orcid Image ;   Laura M Thornton2 Author Orcid Image ;   Stuart Argue6 Author Orcid Image ;   Jenna Tregarthen6 Author Orcid Image ;   Brian R W Baucom1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Shi Q, Thornton L, Kilshaw R, Flatt R, Butner J, Adamo C, Deboeck P, Baucom B, Tregarthen J, Argue S, Bulik C. Relationship Between Intensive Passive Data Signals and Patterns of Binge-Eating Behaviors: From a Dynamical-System Approach. Clinical Psychological Science 2024 View