Body Image Coping Strategies as a Predictor of Self-Esteem in University Students Cover Image

Üniversite Öğrencilerinde Benlik Saygısının Yordayıcısı Olarak Beden İmgesi Baş Etme Stratejileri
Body Image Coping Strategies as a Predictor of Self-Esteem in University Students

Author(s): Çiçek Nilsu Varliklar Demirkazik
Subject(s): Gender Studies, Psychology, Media studies, Higher Education
Published by: SD Yayınevi
Keywords: Body image; emerging adulthood; self-esteem; selfie; social media;

Summary/Abstract: The aim of this study is to examine whether the body image coping strategies of university students in emerging adulthood affect their self-esteem. In line with sub-goals, it was also examined whether the variables showed a significant difference according to various demographic characteristics and social media usage attitudes. The research was designed as a cross-sectional research in the relational survey model, which is one of the quantitative research methods, one of the general survey model. The study group consist of a total of 105 students who are 1st year students in Ankara Yıldırım Beyazıt University, Department of Social Work (n=57) and Physiotherapy and Rehabilitation (n=48). Body Image Coping Strategies Inventory, Rosenberg Self-Esteem Inventory and Personal Information Form were used as data collection tools. The data were analyzed with IBM SPSS Statistics 21 program using statistical analyses method. The findings show that there is a significant difference between the participants’ self-esteem and their use of appearance correction strategy and their selfie-taking behaviors. There is a positive and low correlation between avoidance and self-esteem, and the avoidance variable was a significant predictor of self-esteem. As a result, the examination of the emerging adulthood was considered important for the future of societies and the concepts of body image/self-esteem were evaluated together with the technological development.

  • Issue Year: 5/2021
  • Issue No: 23
  • Page Range: 30-50
  • Page Count: 21
  • Language: Turkish