Prevalence of personality disorders in adults with binge eating disorder-A systematic review and Bayesian meta-analysis.
Hugo SenraCatarina Gouveia GaglianoneSusan McPhersonHuman UnterrainerPublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2023)
Binge eating disorder (BED) is a complex mental health problem entailing high risk for obesity, overweight, and other psychiatric disorders. However, there is still unclear evidence of the prevalence of personality disorders (PDs) in BED patients. We conducted a systematic review and a Bayesian meta-analysis for studies examining the prevalence of any PD in adult BED patients. Data sources included PubMed, Cochrane library, EBSCO, PsycINFO, and Science Direct. A Bayesian meta-analysis was conducted to estimate effect sizes for the prevalence of any PD in BED patients. Twenty eligible articles were examined with a total of 2945 BED patients. Borderline personality disorder and "Cluster C" PD, particularly obsessive-compulsive and avoidant PD, were the most frequent PD found in BED patients. BED diagnosis was associated with 28% probability of a comorbid diagnosis of any PD (0.279, 95%CrI: [0.22, 0.34]), with high levels of between-study heterogeneity (τ = 0.61, 95% CrI [0.40, 0.90]). Sensitivity analysis suggested effect sizes ranging from 0.27 to 0.28. The high comorbidity of PDs in BED patients draws attention to the potential complexity of BED clinical presentations, including those that might also be comorbid with obesity. Clinical practice should address this complexity to improve care for BED and obesity patients.
Keyphrases
- ejection fraction
- end stage renal disease
- systematic review
- newly diagnosed
- mental health
- prognostic factors
- type diabetes
- healthcare
- metabolic syndrome
- public health
- body mass index
- young adults
- working memory
- palliative care
- weight loss
- risk factors
- machine learning
- physical activity
- single cell
- patient reported outcomes
- chronic pain
- weight gain
- deep learning
- meta analyses
- high fat diet induced