Abstract
This is a comment on the article “Gender-related patterns of psychiatric disorder clustering among bariatric surgery candidates: A latent class analysis”, by Duarte-Guerra et al., J. Affect. Disord. 2018. The study applied multivariate statistical analysis – the latent class analysis – to determine clusters of patients with obesity III (n = 393), based on their psychiatric diagnosis. Key findings indicated that most of patients were symptomatic and presented comorbid patterns of psychiatric disorders before undertaking surgery. The patterns were mixed anxiety-bipolar disorders (47%) and anxiety-depression (up to 25%). In addition, almost half of the men seeking surgery was a bipolar patient with some comorbidities (mainly anxiety) and women presented two-fold more anxiety and depression than men. In conclusion, evaluation and treatment of pre-surgical bariatric patients should be planned taking into account the features and psychopathological profile of men and women.
Keywords
Obesity, Bariatric surgery, Psychometric assessment, Latent class analyses