Abstract
Although subjects with severe obesity need specific interventions, knowledge about their eating behavior, physical and mental health profiles remains insufficient. This cross-sectional study aimed to identify profiles of individuals with severe obesity based on clinical, psychological and eating behavior characteristics. We included 126 participants (103 women; mean age: 47.2 ± 13.9 years; mean BMI: 41.0 ± 5.7 kg/m2). Cluster analyses were performed to identify profiles based on age, waist circumference, eating behavior, depressive symptoms, food-related quality of life and physical activity. Metabolic syndrome components and type 2 diabetes prevalence were compared between the clusters. Three clusters were identified. Cluster 1 labeled struggling with food (48% of the population) had high scores on both emotional eating and uncontrolled eating, low score on comfort with food and they had depressive symptoms. Cluster 2, low loss of eating control (29%), had low scores on emotional eating and uncontrolled eating, and high quality of life in the psychosocial dimension. Cluster 3, pleasure from eating (22%), had the greatest score on comfort with food, the highest physical activity level, and depressive symptoms. In cluster 2, prevalence of type 2 diabetes was higher, although not statistically significant. Otherwise, no differences were found between clusters. Conclusion: Subjects with severe obesity have different profiles, partly explained by their eating behavior, associated with clinical and behavioral patterns. Further studies should confirm this cluster structure and assess how these profiles impact the evolution of obesity and whether they can help to improve the personalization of care programs.