Data-Driven Clustering of patients with Obesity in a Four Years Behavioral Weight-Loss Program
Schlögl, H.; Kühnapfel, A.; Frenzel, S.V.; Blüher, M.; Stumvoll, M.; Ebert, T. · Aktuelle Ernährungsmedizin · 2025 · Heft 2 · S. 1 bis 1
Bibliografische Angaben
Zusammenfassung
Introduction: In patients with obesity and type 2 diabetes undergoing bariatric surgery, a data-driven clustering approach revealed that people with insulin resistance in particular benefit from obesity surgery (Raverdy et al. 2022). Objectives: However, it is not known whether a data-driven cluster analysis can also subphenotype patients participating in a behavioral weight loss program and whether identified subclusters associate with differential therapeutic outcomes. Methods: We performed k-means clustering using the variables age, body mass index (BMI), and c-peptide-based Homeostasis Model Assessment of be…
