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

Robyn E Kilshaw   1 , MSc ;   Colin Adamo   1 , MSc ;   Jonathan E Butner   1 , PhD ;   Pascal R Deboeck   1 , PhD ;   Qinxin Shi   1 , PhD ;   Cynthia M Bulik   2, 3, 4 , PhD ;   Rachael E Flatt   4, 5 , MA ;   Laura M Thornton   2 , PhD ;   Stuart Argue   6 , BSc ;   Jenna Tregarthen   6 , BA, PGD ;   Brian R W Baucom   1 , PhD

1 Department of Psychology, University of Utah, Salt Lake City, UT, United States

2 Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

3 Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

4 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

5 Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

6 Recovery Record, San Francisco, CA, United States

Corresponding Author: