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

Monteleone, Alessio Maria; Cascino, Giammarco; Solmi, Marco; Pirozzi, Raffaele; Tolone, Salvatore; Terracciano, Gianmattia; Parisi, Simona; Cimino, M.; Monteleone, Palmiero; Maj, Mario; Docimo, Ludovico

doi:10.1016/j.jpsychores.2019.03.010

Cited by 34 publications

(28 citation statements)

References 61 publications

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“…These conclusions require confirmation by future research. Of note, a supplementary analysis did not confirm a predictive value of the most central symptoms, as opposed to previous research on mixed eating disorders and obesity [38,47,48].…”

Section: Discussioncontrasting

confidence: 98%

Psychopathological Networks in Cognitive-Behavioral Treatments for Binge-Eating Disorder

Hilbert

Herpertz

Zipfel³

et al. 2020

Psychother Psychosom

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Introduction: Network approaches to psychopathology posit that mental disorders emerge from interrelated symptoms, and thus connectivity among symptoms are assumed to negatively predict the treatment response and decrease with efficacious treatment. Objective: This study uniquely sought to elucidate the network structure, its change, and its predictive value in cognitive-behavioral therapy (CBT) for binge-eating disorder (BED). Methods: In a multicenter randomized trial of face-to-face and Internet-based guided selfhelp CBT, 178 individuals with full syndrome and subsyndromal BED, eating disorder and general psychopathology, and body mass index (BMI) were subjected to Gaussian Graphical Network and Exploratory Graph Analyses before and after

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Section: Discussioncontrasting

confidence: 98%

Psychopathological Networks in Cognitive-Behavioral Treatments for Binge-Eating Disorder

Hilbert

Herpertz

Zipfel³

et al. 2020

Psychother Psychosom

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“…NA makes it possible to identify those symptoms that perhaps maintain symptoms loops, which constitute the illness and thus may represent treatment targets (Borsboom, 2017). According to the first research evidence on the prognostic value of the most central nodes (Elliott et al, 2018;Monteleone et al, 2019;Olatunji et al, 2018), our findings may suggest the need to focus interventions on general psychiatric symptoms, such as negative affect experiences induced by external stressors and low self-esteem, in addition to ED core symptomatology, especially in female adolescents with AN-restricting type. This is in line with the proved efficacy in AN of interventions considering a broader psychopathological spectrum rather than the mere ED core symptoms, such as enhanced-cognitive behavioral therapy in adolescents (Dalle Grave, Calugi, Doll, & Fairburn, 2013), psychodynamic focal therapy for EDs (Zipfel et al, 2014), or interpersonal psychotherapy (Linardon, Fairburn, Fitzsimmons-Craft, Wilfley, & Brennan, 2017).…”

Section: Discussionmentioning

confidence: 80%

Re‐conceptualization of anorexia nervosa psychopathology: A network analysis study in adolescents with short duration of the illness

Monteleone

Mereu

Cascino

et al. 2019

Intl J Eating Disorders

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Objective Research evidence suggests the need to identify treatments based on a more precise characterization of psychopathology and psychiatric comorbidity in anorexia nervosa. Network analysis provides a new method to conceptualize psychopathology. We use this approach to investigate the relationships between eating disorder and general psychiatric symptoms in adolescents with anorexia nervosa. Methods Four‐hundred and five adolescents with anorexia nervosa and illness duration less than 3 years were consecutively recruited from those admitted to inpatient treatment. They completed the following questionnaires: the Eating Disorder Inventory‐3, the Multidimensional Anxiety Scale for Children, the Children's Depression Inventory, and the Youth Self Report. A network analysis was conducted, including eating psychopathology measures, anxiety and depressive symptoms, and obsessive–compulsive and post‐traumatic stress problems. We employ a novel approach, the bridge function, to identify symptom clusters. Results Depression symptoms and personal alienation were the nodes with the highest centrality in the network, followed by asceticism, post‐traumatic stress problems, drive to thinness, low self‐esteem, and anxiety physical symptoms. Three symptom clusters (relative to eating disorder psychopathology, self‐esteem problems, and internalizing difficulties) were identified. Depression symptoms, personal alienation, low self‐esteem, and interoceptive deficits showed the highest bridge centrality. Besides eating disorder core symptoms, negative affect and internalizing symptoms seem to contribute to anorexia nervosa psychopathology independently from illness duration effects. Discussion These findings suggest that anorexia nervosa is characterized by a broad psychopathological spectrum rather than the mere eating disorder core symptoms, confirm the need to re‐conceptualize psychiatric comorbidity in this disorder, and provide intriguing diagnostic and therapeutic implications.

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“…We examined a network composed of personality traits as measured by the TIPI, stigmatizing beliefs derived from the total score of the AQ-9, and burnout dimensions as measured by the MBI in a sample of mental health professionals. Network analysis has been performed with RStudio [57,58] using qgraph package as detailed elsewhere [43,[58][59][60][61][62][63]. When using a network analysis approach to describe the complex interactions among a set of variables [58,[64][65][66], these latter are represented as nodes, connected by edges, which are the visual representation of the correlation among nodes.…”

Section: Network Analysismentioning

confidence: 99%

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

Solmi

Granziol

Danieli³

et al. 2020

Eur. Psychiatr.

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Background. Stigma is one of the most important barriers to help-seeking and to personal recovery for people suffering from mental disorders. Stigmatizing attitudes are present among mental health professionals with negative effects on the quality of health care. Methods. Network and moderator analysis were used to identify what path determines stigma, considering demographic and professional variables, personality traits, and burnout dimensions in a sample of mental health professionals (n = 318) from six Community Mental Health Services. The survey included the Attribution Questionnaire-9, the Maslach Burnout Inventory, and the Ten-Item Personality Inventory. Results. The personality trait of openness to new experiences resulted to determine lower levels of stigma. Burnout (personal accomplishment) interacted with emotional stability in predicting stigma, and specifically, for subjects with lower emotional stability lower levels of personal accomplishment were associated with higher levels of stigma. Conclusions. Some personality traits may be accompanied by better empathic and communication skills, and may have a protective role against stigma. Moreover, burnout can increase stigma, in particular in subjects with specific personality traits. Assessing personality and burnout levels could help in identifying mental health professionals at higher risk of developing stigma. Future studies should determine whether targeted interventions in mental health professionals at risk of developing stigma may be effective in stigma prevention.

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

Cited by 34 publications

References 61 publications

Psychopathological Networks in Cognitive-Behavioral Treatments for Binge-Eating Disorder

Psychopathological Networks in Cognitive-Behavioral Treatments for Binge-Eating Disorder

Re‐conceptualization of anorexia nervosa psychopathology: A network analysis study in adolescents with short duration of the illness

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

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