In Patients with Obesity, Are Affective Temperaments Associated with Attrition? An Evaluation during and before the SARS-CoV-2 Pandemic

Autor: Enrica Marzola, Giovanni Abbate-Daga, Elena Scumaci, Valentina Ponzo, Ilaria Goitre, Marianna Pellegrini, Chiara D’Eusebio, Andrea Benso, Sara Belcastro, Franco De Michieli, Chiara Crespi, Fabio Broglio, Ezio Ghigo, Simona Bo
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Clinical Medicine; Volume 11; Issue 3; Pages: 862
Journal of Clinical Medicine, Vol 11, Iss 862, p 862 (2022)
Popis: Timely data on attrition from weight loss programs for patients with obesity during the SARS-CoV-2 pandemic are lacking, so we aimed to contribute to filling this gap in the literature by comparing attrition during or outside of the SARS-CoV-2 pandemic and its possible association with patients’ affective temperaments, psychopathology, and clinical variables. Two-hundred and eleven outpatients with obesity were recruited and completed the Temperament Evaluation of Memphis, Pisa, and San Diego Auto-questionnaire, Binge Eating Scale, Beck Depression Inventory, and State-Trait Anxiety Inventory. Those who dropped out during the pandemic period were mostly men, with younger age of weight gain, and with a larger waist circumference than completers. Patients with obesity who dropped out outside of the SARS-CoV-2 pandemic showed marked levels of depression, anxiety, binge eating episodes, and higher affective temperaments (but the hyperthymic one) when compared to their counterparts. The cyclothymic temperament slightly increased attrition (OR = 1.13, 95% CI 1.00–1.27 p = 0.05) outside the pandemic, while during the pandemic, male gender (OR = 3.50, 1.04–11.7, p = 0.04) was associated with attrition. These findings suggested that male patients with obesity are at particular risk of drop-out from weight-loss treatment during the SARS-CoV-2 pandemic; contrariwise, outside the pandemic, affective temperaments could be a useful baseline assessment for defining the attrition risk in these patients.
Databáze: OpenAIRE