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- Title
Chrono-Nutritional Patterns, Medical Comorbidities, and Psychological Status in Patients with Severe Obesity.
- Authors
Bettini, Silvia; Schiff, Sami; Carraro, Enrico; Callegari, Chiara; Gusella, Beatrice; Pontesilli, Giulia Maria; D'Angelo, Matteo; Baldan, Valeria; Zattarin, Alessandra; Romanelli, Giulia; Angeli, Paolo; Girardi, Paolo; Spinella, Paolo; Vettor, Roberto; Busetto, Luca
- Abstract
Chrono-nutrition studies dietary habits and their role in the onset of metabolic diseases. The aim of this study is to describe chrono-nutritional patterns based on the analysis of the eating habits of patients with severe obesity during the 24-h cycle and investigate a possible relationship between these profiles, the comorbidities, and the psychological status. From the overall evaluation of the chrono-nutritional profiles of 173 patients with severe obesity, four predominant eating patterns were obtained with a refined statistical model. A regression analysis was performed to determine the relationship between chrono-nutritional patterns, medical comorbidities, and psychological status. Profile 1 was the most frequent (46.2%) and characterised by the regular presence of the three main meals. The distribution of the chrono-nutritional profiles did not vary with BMI. Chrono-nutritional profiles affected predominantly psychological variables, with lower performances among chrono-nutritional profiles 3 (to eat during all the 24-h, with nibbling and snacking also during the night) and 4 (like the fourth but without night-eating). This finding could be useful in the assessment and treatment of patients with obesity, allowing the identification of patients with a higher probability of suffering from a psychopathological condition simply by knowing the patients' dietary profiles.
- Subjects
OBESITY; FOOD habits; STATISTICS; SCIENTIFIC observation; NUTRITIONAL assessment; CONFIDENCE intervals; REGRESSION analysis; MANN Whitney U Test; DATA analysis; BODY mass index; LOGISTIC regression analysis; ODDS ratio
- Publication
Nutrients, 2023, Vol 15, Issue 23, p5003
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu15235003