| Literature DB >> 33854274 |
Sharmi Bascarane1, Pooja P Kuppili2, Vikas Menon1.
Abstract
Background Psychiatric disorders are more common among people undergoing cosmetic procedures than the general population and evaluating mental health can be cumbersome for plastic surgeons. We aim to summarize the available literature in this regard and propose an integrated approach to psychiatric assessment and management of mental health issues among this group. Methods Electronic search of MEDLINE, Google Scholar, and PsycINFO databases was done to identify relevant peer-reviewed English language articles from inception till April 2020. Generated abstracts were screened for their eligibility. Included articles were grouped according to their thematic focus under the following headings; prevalence of psychiatric morbidity among clients posted for cosmetic surgery, assessment tools, and management of psychiatric morbidity in relation to undergoing cosmetic surgery. Results A total of 120 articles were reviewed. The prevalence of psychiatric disorder in patients undergoing cosmetic surgery was 4 to 57% for body dysmorphic disorder (BDD); the corresponding figures for depression, anxiety, and personality disorder were 4.8 to 25.8, 10.8 to 22, and 0 to 53%, respectively. A range of tools have been used to assess these disorders and specific measures are also available to assess clinical outcomes following surgery. Screening for these disorders is essential to prevent unnecessary surgical procedures, as well as to ensure timely management of the psychiatric comorbidity. Conclusion Psychiatric morbidity is a common concomitant in cosmetic surgery. A structured and integrated approach to evaluation and management of psychiatric morbidity will help to optimize postsurgical outcomes. Association of Plastic Surgeons of India. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).Entities:
Keywords: India; cosmetic surgery; depression; plastic surgery; psychiatry
Year: 2021 PMID: 33854274 PMCID: PMC8034989 DOI: 10.1055/s-0040-1721868
Source DB: PubMed Journal: Indian J Plast Surg ISSN: 0970-0358
Fig. 1Selection of articles.
Studies assessing body dysmorphic disorder among cosmetic surgery patients
| Sl. No. | Study (year) and country | Procedure | Tools of assessment | Prevalence of BDD |
|---|---|---|---|---|
| Abbreviations: BDDE, body dysmorphic disorder examination; BDDE-SR, BDDQ, body dysmorphic disorder questionnaire; body dysmorphic disorder examination self-report; BDD–YBOCS, body dysmorphic disorder Yale–brown obsessive–compulsive scale; BDI, beck depression inventory; BDSS, body dysmorphic symptoms scale; BSQ, body shape questionnaire; DCQ, dysmorphic concern questionnaire; HADS, hospital anxiety and depression; MBSRQ, -multidimensional body self-relations questionnaire-appearance scales; SCL-90, scale symptom check list-90; SNOT 23, sinonasal outcome test-23. | ||||
| 1 |
De Brito et al (2016)
| Abdominoplasty | 1. BDDE (clinician rated) | 57% |
| 2 |
Ramos et al (2019)
| Rhinoplasty | 1. (BDD-YBOCS) | 48%: BDD symptoms |
| 3 |
Joseph et al (2017)
| Facial plastic and oculoplastic surgery | 1. BDDQ | 9.7%: BDD, |
| 4 |
Joseph et al (2017)
| Septo rhinoplasty | 1. BDDQ | 32%: high risk for BDD |
| 5 |
Brito et al (2016)
|
Abdominoplasty (
| BDDE | BDD symptoms: |
| 6 |
Woolley et al (2015)
| Oculofacial plastic surgery | DCQ (cut-off 9) | 6.9% |
| 7 |
Bender et al (2014)
| Functional rhinosurgery | 1. BDI | 33.9%: mild |
| 8 |
Dey et al (2015)
| Facial plastic and reconstructive surgery | 1. BDDQ | Reconstructive surgery: 1.8% |
| 9 |
Metcalfe et al (2014)
| Breast reconstruction | DCQ | 17% |
| 10 |
Dogruk Kacar et al (2014)
| Dermatology and cosmetic dermatology | Brief self-report BDD screening questionnaire | 6.3% |
| 11 |
Mr et al (2013)
| Aesthetic rhinoplasty | 1. BDDQ | 31.5% |
| 12 |
Vargel et al (2001)
| Cosmetic surgery | 1. SCL-90 | 20% |
| 13 |
Sarwer et al (1998)
| Cosmetic surgery | 1. MBSRQ | 7% |
Depression and anxiety symptoms in clients seeking cosmetic surgery
| Sl. no. | Study (year) and country | Cosmetic procedure Sample size | Scales | Prevalence |
|---|---|---|---|---|
| Abbreviations: DAS59, Derriford appearance scale; GHQ, general health questionnaire; MINI, mini international neuropsychiatric interview; NEO-FFI, neuroticism-extraversion-openness five-factor inventory; SQLP, Subjective Quality of Life Profile; STAI, state–trait anxiety inventory; TPQ, tri dimensional personality questionnaire (TPQ); YBOCS, Yale–brown obsessive–compulsive scale. | ||||
| 1 |
Saariniemi et al (2012)
| Aesthetic augmentation mammaplasty | 1. Eating disorder inventory | Anxiety: |
| 2 |
Paula et al (2018)
| Cosmetic breast Surgery | BDI (≥15 points) | Depression: |
| 3 |
Wei et al (2018)
| Aesthetic plastic surgery | HADS | Anxiety: 10.8% |
| 4 |
Clarke et al (2012)
| Cosmetic surgery | 1. DAS59 | Severe anxiety: 18% |
| 5 |
Chahraoui et al (2006)
| Reduction mammaplasty | 1. SQLP | Trait anxiety, state anxiety, and quality of life(pain, physical appearance, social life, and inner life) were significantly better at 4 months postoperatively |
| 6 |
Beraldo et al (2016)
| Reduction mammaplasty | 1. Female sexual function index | Depression and sexual function scores were significantly better than the control group at 6 months postoperatively |
| 7 |
Pavan et al (2013)
| Overweight/obese patients referring to plastic surgery | 1. BSQ | Cases: |
Personality and associated dimensions
| Study (year) and country | Cosmetic procedure | Scales | Prevalence |
|---|---|---|---|
| Abbreviations: BDD–YBOCS, body dysmorphic disorder Yale–brown obsessive–compulsive scale; GSI, global severity index; HARS, Hamilton anxiety rating scales; NEO-FFI, neuroticism-extraversion- openness five-factor inventory; SCID, structured clinical interview for DSM disorders; SCL-90-R, symptom checklist-90-revised. | |||
|
Golshani et al (2016)
| Cosmetic surgery | 1. GSI (>63) | Known psychiatric disorders: 9.9% |
|
Del Aguila et al (2019)
| Cosmetic body contouring surgery | 1. Salamanca questionnaire for screening for personality disorders | No personality disorder was found |
|
Loron et al (2018)
| Cosmetic botulinum toxin type-A (BoNTA) injection | Milton clinical multiaxial inventory 3rd edition | Personality traits |
|
Zojaji et al (2014)
| Cosmetic rhinoplasty | Millon clinical multiaxial inventory 3rd edition | Cases: |
|
Bellino et al (2006)
| Cosmetic surgery | 1. SCID (DSM-IV), 2. BDD–YBOCS | Personality disorders: 53%. Out of which |
Tools to assess BDD and body image disturbances
| Instrument | Psychiatric entity | Self/clinician administered | Remarks |
|---|---|---|---|
| Abbreviations: BDD, body dysmorphic disorder; MBSRQ-AS, multidimensional body self-relations questionnaire appearance scales. | |||
| SCID | BDD | Clinician |
Gold standard for diagnosis of BDD
|
|
Body dysmorphic disorder examination (BDDE)
| BDD | Clinician |
1. Time-consuming requires 30 minutes to complete
|
|
BDDE self-report
| BDD | Self | 1. Addresses the limitations of the BDDE and therefore seems to be more appropriate for use in a cosmetic surgery setting |
|
Body dysmorphic disorder questionnaire (BDDQ)
| BDD | Self | 1. Takes 1–2 minutes to complete |
|
BDD questionnaire-dermatology version (BDDQ-DV)
| BDD | Self | 1. Validated in the cosmetic surgery setting |
| Dysmorphic concern questionnaire DCQ 90,91 | BDD | Self | 1. Validated in the cosmetic surgery setting |
|
Yale brown scale for BDD (BDD-YBOCS)
| BDD | Clinician | 1. Most widely used measure of BDD severity in research studies |
|
Body dysmorphic symptoms scale (BDSS)
| BDD | Self | Simple, rapid, and objective ten-item self-report measure assessing BDD |
|
PISA body dysmorphic symptom scale
| BDD | Self | A slightly different version of the BDSS in which question 6 has been altered to detect unrealistic expectations from an intervention |
| Multidimensional body self-relations | Body image disturbances | Self | 1. Good validity and reliability |
|
Body shape questionnaire (BSQ)
| Body image disturbances | Self |
1. Easy to fill and can be completed in ~10 minutes
|
|
Body image concern inventory (BICI)
| Body image disturbances | Self |
Reliable, valid, and user-friendly tool for assessing dysmorphic concern
|
Tools to assess other psychiatric disorders
| Depression | References to studies that have used the tool in cosmetic surgery patients | |
|---|---|---|
|
Hospital anxiety and depression scale
|
1. Reliable and valid instrument divided into an anxiety subscale (HADS-A) and a depression subscale (HADS-D)
|
Mr et al (2013)
|
| Beck’s depression inventory (BDI) 101,102 | 1. Self-rated, 21 item scale |
Monpellier et al (2018)
|
|
Hamilton depression rating scales (HDRS)
| 1. Clinician administered |
Bellino et al (2006)
|
| Anxiety | ||
|
State–trait anxiety inventory (STAI)
| 1. It comprises of 2 subscales namely the State Anxiety Scale (S-Anxiety) which evaluates the current state of anxiety and the trait anxiety scale (T-anxiety) |
Chahraoui et al (2006)
|
|
Hamilton anxiety rating scales (HARS)
| 1. Clinician-based questionnaire consisting of 14 items |
Del Aguila et al (2019)
|
|
Beck anxiety inventory (BAI)
| 1. 21 item, self-reported Likert’s scale |
Belli et al (2013)
|
| Personality disorders | ||
|
Tri dimensional personality questionnaire (TPQ)
| 1. 100-item, self-administered instrument. |
Pavan et al (2017)
|
|
Neuroticism-extraversion-openness five-factor inventory (NEO-FFI)
| 1. Shorter version of the NEO Personality Inventory-Revised |
Golshani et al (2016)
|
| Eating disorders | ||
|
Eating disorder inventory (EDI)
| 1. Self-report questionnaire widely used both to assess psychological features and symptoms of eating disorders. |
Saariniemi et al (2012)
|
|
Binge eating scale
|
1. Self rated questionnaire comprising of 16 items: eight items that describe behavioral manifestations and eight items associated with feelings and cognitions
|
Pavan et al (2017)
|