Title of article :
Influence of diagnostic classification
on gender ratio in schizophrenia
Author/Authors :
Guy Beauchamp، نويسنده , , André Gagnon، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2004
Abstract :
Background The research literature on hospital
admissions for psychoses in youths was reviewed in
order to test whether there was a gender ratio discrepancy
in diagnostic subgroups; the effect of the diagnostic
criteria classification on this measure was also investigated.
Method A meta-analysis was conducted on 12 primary
studies by assessing the male/female odds ratio
(OR) in the schizophrenia and mood disorders with psychosis
subgroups as well as the amount of variability between
studies.Study inclusion criteria were: patients between
the ages of 8 and 19, at least 15 patients with
psychosis and a standardized diagnostic criteria classification
system such as DSM, ICD or RDC. Results The
male/female OR measured in this meta-analysis implies
that a male subject with psychosis is 1.7 times as likely to
obtain a diagnosis of schizophrenia; conversely, a female
subject with psychosis is 2.1 times as likely to be assigned
in the mood disorders with psychosis subgroup.Disparity
in diagnostic criteria nomenclature (ICD-9 vs.DSM)
could account for a statistically significant difference in
male/female OR for the schizophrenia subgroup in a subset
of 11 studies. Conclusions Under the narrower definition
of schizophrenia in studies using DSM diagnostic
criteria classification, the shift towards a greater proportion
of patients diagnosed with mood disorders with
psychosis could be explained by the time criteria; the simultaneous
emergence of the gender ratio difference is
discussed. This study shows that subtle changes in diagnostic
criteria in psychiatric illnesses can greatly influence
observational data pertaining to youths
Keywords :
ICD-9 – DSM – sex – child – adolescent –odds ratio
Journal title :
Social Psychiatry and Psychiatric Epidemiology (SPPE)
Journal title :
Social Psychiatry and Psychiatric Epidemiology (SPPE)