Heterogeneity in schizophrenia; mixture modelling of age-at-first-admission, gender and diagnosis

Welham, J., McLachlan, G., Davies, G. and McGrath, J. (2000) Heterogeneity in schizophrenia; mixture modelling of age-at-first-admission, gender and diagnosis. Acta Psychiatrica Scandinavica, 101 4: 312-317. doi:10.1034/j.1600-0447.2000.101004312.x


Author Welham, J.
McLachlan, G.
Davies, G.
McGrath, J.
Title Heterogeneity in schizophrenia; mixture modelling of age-at-first-admission, gender and diagnosis
Journal name Acta Psychiatrica Scandinavica   Check publisher's open access policy
ISSN 0001-690X
1600-0447
Publication date 2000-04-01
Sub-type Article (original research)
DOI 10.1034/j.1600-0447.2000.101004312.x
Volume 101
Issue 4
Start page 312
End page 317
Total pages 6
Editor Paul Munk Jorgensen
Place of publication Oxford
Publisher Blackwell
Language eng
Subject C1
1103 Clinical Sciences
111714 Mental Health
Formatted abstract
Objective:
Identifying and explaining sources of heterogeneity in schizophrenia would help elucidate its aetiology and course. In this paper we examine heterogeneity in terms of age-at-first-admission, diagnosis and gender by decomposing a large dataset using mixture modelling.

Method:
Using the Queensland Mental Health Statistics System, we first extracted age-at-first-admission data for schizophrenia (ICD8/9 295) to represent a 'narrow' definition of schizophrenia (N = 7651); we then added paraphrenia (297) and other non-organic psychoses (298) for a 'broad' definition (N = 10 199). Mixture models were fitted to these narrowly and broadly defined distributions for both males and females.

Results:

For narrowly defined schizophrenia a three-component model best fitted both male and female distributions. While the mean ages of these components were very similar for both males and females, the ratios of males to females crossed from an excess of males in the 'youngest' component to an excess of females in the 'oldest' component. When using the broad definition, four components best fitted the underlying distributions. While the first three were similar to those found for narrowly defined schizophrenia, the additional fourth component reverted to a male excess; however, the mean age for males was 10 years younger than for females.

Conclusion:
Our findings suggest that subtypes based on age-at-first-admission can be identified, although the number identified depends on how inclusively schizophrenia is defined. While there appear to be the same number with similar mean ages for both genders, there are differences in the proportions of males to females. Further work to fully characterize their nature is warranted.
Keyword Psychiatry
Schizophrenia
Psychotic Disorders
Age Of Onset
Sex Differences/characteristics
Models
Statistical
Statistical Distributions
Classification
Onset Schizophrenia
Distributions
Epidemiology
Psychosis
Subtypes
Females
Women
Males
Sex
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collection: Institute for Molecular Bioscience - Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 9 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 13 Aug 2007, 21:41:43 EST