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P-622 - Socio-demographic and Clinical Differences According to Gender in Psychiatric Inpatients

Published online by Cambridge University Press:  15 April 2020

S. Pereira
Affiliation:
Psychiatry, Coimbra, Portugal
Z. Santos
Affiliation:
Hospitals of the University of Coimbra, Coimbra, Portugal
E. Mendes
Affiliation:
Hospitals of the University of Coimbra, Coimbra, Portugal
S. Renca
Affiliation:
Hospitals of the University of Coimbra, Coimbra, Portugal
F. Polido
Affiliation:
Hospitals of the University of Coimbra, Coimbra, Portugal
F. Mendes
Affiliation:
Hospitals of the University of Coimbra, Coimbra, Portugal
O. Domingues
Affiliation:
Hospitals of the University of Coimbra, Coimbra, Portugal
L. Toledo
Affiliation:
Hospitals of the University of Coimbra, Coimbra, Portugal

Abstract

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Introduction:

Previous epidemiological studies clearly demonstrated gender differences in the patterns of mental illness. as a matter of fact, female suffer more from depressive and anxiety disorders, while male suffer more from addictive behaviour and psychotic disorders.

Objectives/aims:

The present study was elaborated by the Psychiatric Department Quality Commission of the Coimbra University Hospital in order to identify gender differences in socio-demographic and clinical characteristics of patients that were hospitalized from January to June 2011.

Methods:

We analyzed 417 clinical files and gathered socio-demographic information (gender, age, marital status and job) and clinical information (diagnosis and hospitalization's length).

Statistical analysis was performed with SPSS program, using the chi-square's and Mann-Whitney's tests.

Results:

53% of the inpatients were women.

It was also observed that women were older (p = 0.021), more frequently married and widowed (p < 0.001), were less associated with compulsory admission (p < 0.001), had shorter hospitalizations (p = 0.024) and were more often diagnosed with adjustment reaction and bipolar disorder (p < 0.001), while men were younger (p < 0.001), more frequently single (p < 0.001), more frequently unemployed (p < 0.001), were more subject to compulsory admission (p < 0.001) and were more often diagnosed with addictive disorders and schizophrenia.

Conclusions:

These results are consistent with the existing literature and enable us to organize the services’conditions according to the needs of our psychiatric inpatient population.

Type
Abstract
Copyright
Copyright © European Psychiatric Association 2012
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