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Masculinity and the sex-specific function of dieting among Russian students

Barbara Klingenspor

What causes bulimic symptoms and eating disorders remains unclear. One limitation of the research so far is that non Western populations were rarely examined. In general, girls and women are primarily affected. The underlying causes are thought to be gender-related. Many studies examined stereotypical attributes that are directly and indirectly associated with gender. In contrast to the traditional idea that bulimic symptoms are related to an actual or self-perceived deficit of feminine-typed traits, I found a suppression of masculine-typed traits. In order to cross-validate this link between bulimic symptoms and masculine-typed traits in a non-Western sample, an anonymous questionnaire study was replicated in Ekaterinburg - a remote part of Russia that was closed to foreign influences for decades - in 1993, before the market-type reforms could take hold. Measurements of the relevant variables - feminine and masculine traitsfeminine

masculine
  • ambitious
  • dominant
  • independent
click to see all
, self-esteem, frequency of dieting and bulimic symptoms - were obtained from 619 students. Food restrictions due to economic limitations were measured independent of self-imposed restrictions in order to lose weight. Mean and covariance structures were analyzed with the computer program EQS. The specified model was confirmed and new findings were integrated: 1. Women dieted for self-esteem and physical attractiveness, whereas men only dieted for physical attractiveness. 2. The correlation between dieting and masculinity was close to zero in both groups. However, the structural equation analyses uncovered a significant relationship between dieting and the perception of masculine traits in women. The correlation was insignificant because masculinity was a suppressor variable in this group. 3. The direction of the effect of dieting depended on whether a woman´s masculinity score was above or below the average. Dieting had a negative effect (-.25) on masculinity for those who were high on masculinity, whereas it had a positive effect (+.25) for those who were low. 

Fig. 1. Structural model with standardized maximum likelihood parameter estimates for women and men (in parentheses).

Note: Circles represent latent variables, unidirectional arrows depict hypothesized causal links, and bidirectional arrows reflect correlations between variables. Blue (m) or red (r) lines symbolize relationships that are only signficant for men or for women.





In Search of Golden Rules (SEM, 2004)

 

Multivariate Software, Inc.
EQS. Structural Equation Modeling Software

Barbara@Klingenspor.org

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