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Using latent class analysis to identify different clinical profiles according to food addiction symptoms in obesity with and without binge eating disorder.

Matteo AloiMarco Tullio LiuzzaMarianna RaniaElvira Anna CarboneRenato de FilippisAshley Nicole GearhardtCristina Segura-Garcia
Published in: Journal of behavioral addictions (2024)
The results bring to light distinct clinical profiles based on FA symptoms. Notably, the "high-functioning addicted" class is particularly intriguing as its members demonstrate physical symptoms of FA (i.e., tolerance and withdrawal) and psychological ones (i.e., craving and consequences) but are not as functionally impaired as the "fully addicted" class. Identifying different profiles according to FA symptoms holds potential value in providing tailored and timely interventions.
Keyphrases
  • sleep quality
  • physical activity
  • metabolic syndrome
  • type diabetes
  • insulin resistance
  • mental health
  • weight loss
  • depressive symptoms
  • risk assessment
  • adipose tissue
  • climate change
  • data analysis