Applying machine learning to ecological momentary assessment data to identify predictors of loss-of-control eating and overeating severity in adolescents: A preliminary investigation.

Journal: Appetite
PMID: 39922228

Abstract

OBJECTIVE: Several factors (e.g., interpersonal stress, affect) predict loss-of-control (LOC) eating and overeating in adolescents, but most past research has tested predictors separately. We applied machine learning to simultaneously evaluate multiple possible predictors of LOC-eating and overeating severity in pooled and person-specific models.

Authors

  • Kelsey Hagan
    Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA; Institute for Women's Health, Virginia Commonwealth University, Richmond, VA, USA.
  • Nicolas Leenaerts
    Department of Psychiatry, Mind-Body Research Center, KU Leuven, Belgium; Leuven Brain Institute, KU Leuven, Belgium.
  • B Timothy Walsh
    Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, USA.
  • Lisa Ranzenhofer
    Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, USA; Department of Psychiatry, University of Buffalo, Buffalo, NY, USA. Electronic address: lisaranz@buffalo.edu.

Keywords

External Resources

Popular Topics
Recent Journals