Ontology highlight
ABSTRACT: Background
Restoring weight is a primary goal during anorexia nervosa (AN) treatment. Previous studies linked different weight gain profiles to treatment outcomes, but there is currently no consensus on profile shapes and numbers. We argue that heterogeneity stems from temporal distortions ("warping") in weight gain, and that similar weight improvements can stretch over different time periods. We thus favor a novel non-parametric solution that accounts for warping to identify weight trajectories.Method
Time series clustering with dynamic time warping (DTW) was used to identify weight change trajectories among N = 518 patients with AN during inpatient treatment. Within-person body-mass-index gain (∆ BMI) served as our primary dependent variable to identify clusters. We chara
SUBMITTER: Tokic M
PROVIDER: S-EPMC12773659 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature