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| Published: March 30, 2023

The Relationship and Prediction Rate of Internet Sex Addiction with Body Dysmorphic Disorder (BDD) in Men

Mehrnaz Sheibani Noqabi

Clinical Psychologist, Hypnotherapist, and Researcher, Mashhad, Iran Google Scholar More about the auther

, Gholamreza Ebrahimi-Nejad

Division of Behavioural Medicine and Clinical Psychology, Kerman University of Medical Science, Kerman, Iran Google Scholar More about the auther

, Mohammad Toloue Arjmand

Doctor of Medicine, and Clinical Psychologist, Mashhad, Iran Google Scholar More about the auther

, Morteza Modarres Gharavi

Center for Psychiatric and Behavioral Science Research, Mashhad University of Medical Sciences, Mashhad, Iran Google Scholar More about the auther

DIP: 18.01.172.20231101

DOI: 10.25215/1101.172

ABSTRACT

There are several diagnostic labels for persistent and extreme sexual behavior, often referred to in the popular media as Internet sex addiction or cybersex addiction. Internet sex addiction is a type of engaging in dominant sexual behaviors, pornography, and cybersex that alienates people from their partners and reduces their feeling of sexual satisfaction. People who have a negative evaluation of their health and body image have Body Dysmorphic Disorder (BDD), which affects people’s social communication. The present research was conducted to determine the relationship and prediction rate of Internet sex addiction with BDD. The current research is descriptive-correlation type. The subjects were 66 men with internet sex addiction criteria in the age group of 15 to 50 years in the Iranian population. The sampling method, the available sample, and the research tool has been Carnes’ sexual addiction questionnaires and the Multidimensional Body-Self Relations Questionnaire (MBSRQ). Data analysis has been done using correlation tests and multiple regression analysis in SPSS. In this study, it was found that the lower and weaker assessment of health and body image among people, the percentage of internet sex addiction is higher among them.

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Mehrnaz Sheibani Noqabi @ mehrnaz_sheibani@yahoo.com

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ISSN 2348-5396

ISSN 2349-3429

18.01.172.20231101

10.25215/1101.172

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Published in   Volume 11, Issue 1, January-March, 2023