Event details

Seminar: Treating Body Dysmorphic Disorder

Event Description

Body Dysmorphic Disorder (BDD) is defined as a preoccupation with a perceived defect in one’s appearance, which is not noticeable to others. The preoccupation is associated with a distorted felt body image with many 'safety seeking' behaviours such as mirror gazing, skin-picking, ruminating or constant comparing of one’s perceived defect to others.

People with disfigurements and BDD use strategies to camouflage and avoid situations and activities. They may have a poor quality of life, are socially isolated and people with BDD are at high risk of committing suicide.

Cognitive behaviour therapy (CBT)  and selective serotonin reuptake inhibitors medications are recommended for treating BDD. CBT can be used for the body image problems in disfigurement and eating disorders. Habit reversal is recommended for skin picking.

By the end of the workshop participants will: 

  • Recognize and diagnose BDD in DSM5 and ICD11 and differentiate from an eating disorder, depression, social anxiety and borderline personality
  • Understand a cognitive behavioural model of body image problems and the factors that maintain the symptoms including the function of processes such as comparing self with others; being excessive self-focused; camouflaging one’s appearance; monitoring and avoiding social threats such as shame, rejection and ridicule from others
  • Use various assessment scales and conduct a functional analysis of cognitive processes and behaviours that are used as safety seeking
  • Assess and help clients wanting cosmetic procedures
  • Devise strategies for engagement and change with a focus on ceasing ruminating and comparing, dropping of avoidance and safety seeking behaviours; imagery re-scripting for aversive memories; habit reversal for skin-picking and role-playing for ongoing teasing.

To join the Zoom Meetings please click on the link below:
 
https://universityofsussex.zoom.us/j/97449042292?pwd=RmlzRDVPWllTaDF6dCtIWFJnL0wyZz09

Meeting ID: 974 4904 2292
Passcode: 206224 

Event Date

13 December 2023, 4:00 pm to 5:00 pm

Categories
  • Research