Document Detail

Psychiatrists' and non-physician psychotherapists' beliefs about gender-appropriate behavior: a comparison.
MedLine Citation:
PMID:  7762699     Owner:  NLM     Status:  MEDLINE    
We adapted the Bem Sex-Role Inventory to survey therapists' beliefs about gender-appropriate behavior for hypothetical patients. We previously studied psychiatrists, finding that women were more likely to choose masculine or androgynous (high masculine and high feminine) traits as optimal for female patients while men were more likely to choose the undifferentiated (low masculine and low feminine) category for patients of either sex. In this study we used the same measure to compare psychologists and social workers to the psychiatrists, to determine the effect of medical education on these attitudes. We found that regardless of educational background, women were more likely to choose the androgynous category and men were more likely to choose the undifferentiated category. Women psychiatrists were more likely to choose masculine traits as optimal than were women non-physician therapists. Male therapists of all backgrounds were least likely to choose masculine traits as optimal for either male or female patients. Medical education per se does not seem to determine attitudes about gender-appropriate behavior. Men entering professions in which they are concerned about others' emotional well-being may have less stereotypically masculine beliefs about gender-appropriate behavior than women entering the same fields. Possible reasons for this difference are discussed.
M Kaplan; N Free
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  American journal of psychotherapy     Volume:  49     ISSN:  0002-9564     ISO Abbreviation:  Am J Psychother     Publication Date:  1995  
Date Detail:
Created Date:  1995-06-26     Completed Date:  1995-06-26     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0110672     Medline TA:  Am J Psychother     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  59-67     Citation Subset:  IM    
Department of Psychiatry, University of Cincinnati, College of Medicine, OH, USA.
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MeSH Terms
Chi-Square Distribution
Educational Status
Gender Identity*
Middle Aged
Sex Factors
Social Work*
Statistics, Nonparametric

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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