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Comparative Study

| Published: June 25, 2016

Psychological Predictors of Obesity

Urbi Mukherjee

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

, Bidita Bhattacharya

Head & Assistant Professor, Department of Clinical Psychology, Institute of Psychiatry Google Scholar More about the auther

, Dr. Shikha Mukhopadhya

Associate Professor, Department of Psychiatry, Institute of Psychiatry Google Scholar More about the auther

, Shuvabrata Poddar

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.

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Urbi Mukherjee @ mukherjee.urbi@gmail.com

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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