Literature DB >> 30929713

A network analysis of psychological, personality and eating characteristics of people seeking bariatric surgery: Identification of key variables and their prognostic value.

Alessio Maria Monteleone1, Giammarco Cascino2, Marco Solmi3, Raffaele Pirozzi4, Salvatore Tolone5, Gianmattia Terracciano4, Simona Parisi4, Monica Cimino6, Palmiero Monteleone7, Mario Maj6, Ludovico Docimo8.   

Abstract

OBJECTIVE: The interplay among personality traits, anxiety and eating symptoms in candidates for bariatric surgery has never been investigated through the network analysis approach. Thus, we aimed to use this method to identify the key psychological traits that characterize these individuals and to assess their role as predictors of surgical outcomes.
METHODS: One-hundred-eighty-five candidates for bariatric surgery filled in the State Trait Anxiety Inventory (STAI), the Revised Restraint Scale, the Power of Food Scale and the Temperament and Character Inventory-Revised (TCI-R) questionnaires. All these variables were included in a network analysis. Then, the most central network nodes were entered as independent variables in a regression model that included 9-month follow-up weight outcomes as the dependent variable.
RESULTS: The network has showed a good stability. TCI-self directedness and harm avoidance scores and STAI state and trait anxiety scores were the nodes with the highest centrality in the network. Weight outcomes were assessed in 64 patients at follow-up. Among central nodes, low TCI-self directedness was found to be the only significant independent predictor of worse weight outcome.
CONCLUSIONS: Our findings show for the first time the interplay between personality traits and symptoms in candidates for bariatric surgery combining the network approach with a follow-up evaluation. Low self-directedness has been proved to be the node with highest centrality and the only predictor of short-term weight outcome. These data suggest the importance to take into consideration personality and psychological variables either in the pre-surgery assessment or as possible targets for pre or post-surgery psychotherapeutic interventions. ORCID: 0000-0002-6786-4458.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bariatric surgery; Network analysis; Personality; Prognostic factor; Psychological traits

Year:  2019        PMID: 30929713     DOI: 10.1016/j.jpsychores.2019.03.010

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  5 in total

1.  Psychopathology predicts mental but not physical bariatric surgery outcome at 3-year follow-up: a network analysis study.

Authors:  Alessio Maria Monteleone; Inbal Globus; Giammarco Cascino; Anat Brunstein Klomek; Yael Latzer
Journal:  Eat Weight Disord       Date:  2022-08-27       Impact factor: 3.008

Review 2.  Prevalence and Outcomes of Depression After Bariatric Surgery: A Systematic Review and Meta-Analysis.

Authors:  Rayyan A Alyahya; Muhaid A Alnujaidi
Journal:  Cureus       Date:  2022-06-04

3.  The Role of the Embodiment Disturbance in the Anorexia Nervosa Psychopathology: A Network Analysis Study.

Authors:  Giammarco Cascino; Giovanni Castellini; Giovanni Stanghellini; Valdo Ricca; Emanuele Cassioli; Valeria Ruzzi; Palmiero Monteleone; Alessio Maria Monteleone
Journal:  Brain Sci       Date:  2019-10-15

4.  A systematic review of network analysis studies in eating disorders: Is time to broaden the core psychopathology to non specific symptoms.

Authors:  Alessio Maria Monteleone; Giammarco Cascino
Journal:  Eur Eat Disord Rev       Date:  2021-05-03

5.  Predictors of stigma in a sample of mental health professionals: Network and moderator analysis on gender, years of experience, personality traits, and levels of burnout.

Authors:  Marco Solmi; Umberto Granziol; Andrea Danieli; Alberto Frasson; Leonardo Meneghetti; Roberta Ferranti; Maria Zordan; Beatrice Salvetti; Andreas Conca; Silvia Salcuni; Leonardo Zaninotto
Journal:  Eur Psychiatry       Date:  2020-01-31       Impact factor: 5.361

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.