List of Articles Body-Self

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  1 - Relationship between Overweight with Self – Esteem Depression, Life Style and Body – Self in Self – Referred Woman to Weight Decrease Centers
  محسن گلپرور محسن گلپرور منوچهر کامکار منوچهر کامکار بیتا ریسمانچیان
  Abstract :This research administered with the aim of investigate relation between overweight in self–referred woman to weight decrease centers with self– esteem, depression, life style and body–self in Isfahan city. For reach to research aims, in spring mounts of year, More

  Abstract :This research administered with the aim of investigate relation between overweight in self–referred woman to weight decrease centers with self– esteem, depression, life style and body–self in Isfahan city. For reach to research aims, in spring mounts of year, persons of self– referred woman to decrease or control weight centers (from three private doctor's office) selected with the use of simple random sampling. The questionnaires which used in this research were: Cooper Smit's self esteem questionnaire, Tam Cash's body–self questionnaire, Beck s depression questionnaire and life style questionnaire. The overweight measured with using difference between ideal weight and current weight (that is, the time of refer to decrease weight center). The cronbach s alpha for the research instruments were (for self – esteem), (for depression), (for life style) and (for body–self) respectively. The data analyzed with using Pearson's correlation coefficient, enter and stepwise regression analysis. The results of data analysis revealed that overweight only have significant relation with depression (r = , P < ) , with subjective weight (r = , P < ) and with appearance evaluation (r = , P < ). In enter regression, subjective weight and fitness orientation (two subscale of body–self questionnaire) have significant predictive power for prediction of overweight and stepwise regression analysis showed that subjective weight, fitness orientation and appearance evaluation, respectively have significant predictive power for prediction of overweight. Manuscript profile