Title of article
Predicting Life Satisfaction Based on Demographic and Personality Characteristics and Body Dysmorphic Disorder among People Requesting For Cosmetic Surgery
Author/Authors
Hayadar ، Ebtesam - Islamic Azad University, Roudehen Branch , Bashardoust ، simin - Islamic Azad University, Roudehen Branch
Pages
23
From page
73
To page
95
Abstract
This study aims to predict life satisfaction based on demographic, personality characteristics, and body dysmorphic disorder among people proceeding to undergo cosmetic surgery. This is a descriptive study with correlational design. The statistical population includes all of people seeking cosmetic surgery who had visited cosmetic surgerical clinics in Tehran, district 3, 2015. The sample of 150 were chosen using a random multistage sampling method. The following questioners were used as measurement tools: satisfaction with life scale (SWLS), body image concern inventory (BICI), NEO fivefactor inventory short form, and individual profile questionnaire. The data analysis was conducted using the hierarchical multivariate regression method; finally, the research hypotheses were tested. The results showed that, among demographic variables, marital and financial status predicted life satisfaction positively among people proceeding to undergo cosmetic surgery at .05 and .01 significance levels, respectively. The review of the regression coefficient demonstrated that the body dysmorphic disorder predicted life satisfaction negatively among people proceeding to undergo cosmetic surgery at .01 significance level. In addition, from among personality characteristics, neuroticism predicts life satisfaction among people proceeding to undergo cosmetic surgery negatively at .01 significance level while extroversion anticipates it positively at .05 significance level.
Keywords
life satisfaction , body dysmorphic disorder , cosmetic surgery , personality characteristics
Journal title
International Journal of Psychology
Serial Year
2018
Journal title
International Journal of Psychology
Record number
2460880
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