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Stigma in the context of schools: analysis of the phenomenon of stigma in a population of university students

Overview of attention for article published in BMC Psychiatry, February 2016
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Title
Stigma in the context of schools: analysis of the phenomenon of stigma in a population of university students
Published in
BMC Psychiatry, February 2016
DOI 10.1186/s12888-016-0734-8
Pubmed ID
Authors

Luca Pingani, Sara Catellani, Valeria Del Vecchio, Gaia Sampogna, Sarah E. Ellefson, Marco Rigatelli, Andrea Fiorillo, Sara Evans-Lacko, Patrick W. Corrigan

Abstract

Students have stereotyped views about people with mental illness. In particular, they believe that these persons are incurable, dangerous, unpredictable and responsible for their condition. This study aims to investigate the levels of public stigma in an Italian university population. The Attribution Questionnaire 27 - Italian Version (AQ-27-I) was administered to a sample of students from the Faculty of Medicine and Surgery of the University of Modena and Reggio Emilia. After examining the psychometric characteristics of the AQ-27-I (Cronbach's Alpha and Confirmatory Factor Analysis), multiple linear regression analyses were carried out to identify the predictors of stigmatizing attitudes in this population. Three hundred and eleven students completed the questionnaire, with a response rate of 32.81 % (out of the 948 contacted by email). The AQ-27-I showed good psychometric properties with an α = .68, and the fit indices of the models that partially supported the factor structure and paths. The two variables identified as possible predictors of stigmatizing attitudes (total score of AQ-27-I) were age and time spent reading newspapers. Antistigma campaigns are needed in university contexts, targeted in particular to students in health professions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Singapore 1 1%
Unknown 95 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 16%
Researcher 10 10%
Student > Master 10 10%
Student > Doctoral Student 8 8%
Student > Ph. D. Student 7 7%
Other 23 24%
Unknown 23 24%
Readers by discipline Count As %
Psychology 24 25%
Medicine and Dentistry 20 21%
Nursing and Health Professions 11 11%
Social Sciences 7 7%
Unspecified 3 3%
Other 9 9%
Unknown 22 23%