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Comparative Study
| Published: June 25, 2016
Psychological Predictors of Obesity
Assistant Professor, Department of Psychology, Department of Psychology, Dr. APJ Abdul Kalam Government Degree College, West Bengal State University Google Scholar More about the auther
Head & Assistant Professor, Department of Clinical Psychology, Institute of Psychiatry Google Scholar More about the auther
Associate Professor, Department of Psychiatry, Institute of Psychiatry Google Scholar More about the auther
Assistant Professor, Department of Applied Psychology, Kazi Nazrul University Google Scholar More about the auther
DIP: 18.01.077/20160303
DOI: 10.25215/0303.077
ABSTRACT
Objectives: Obesity is now fast growing, major public health concern in many countries worldwide, including India. Predictors of obesity range from biological, behavioral factors to socioeconomic and contextual factors. Studies of personality as a psychological predictor of obesity are scarce and contradictory so the present study aimed to assess whether personality can predict obesity or not. Methods: A sample of 60 individuals within the age group 18-40years (mean=25.73±2.86) was selected using purposive sampling, divided into obese and non-obese groups on the basis of Body Mass Index (BMI), with 30 individuals in each group. The sample was assessed on the basis of NEO Five Factor Inventory (McCrae & Costa, 1991) and Self-Concept Inventory (Shah, 1986). Logistic regression and t-test were computed. Results: The two groups differed significantly in the various domains of personality and self concept. Personality traits of Openness (O), Extraversion (E) and emotional, cognitive and political self concept were found to be major predictors of obesity. Conclusions: The findings indicate psychological traits are connected to the evolution of obesity. This makes necessary to assess and consider such psychological aspects for the appropriate treatment of such patients.
Keywords
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2016 I U Mukherjee, B Bhattacharya, S Mukhopadhyay, S Poddar
Received: April 10, 2016; Revision Received: May 12, 2016; Accepted: June 25, 2016
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.077/20160303
10.25215/0303.077
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Published in Volume 03, Issue 3, April-June, 2016