Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-31T16:58:50.760Z Has data issue: false hasContentIssue false
  • English
  • Français

Admixture analysis of age at onset in older patients with schizophrenia spectrum disorders

Published online by Cambridge University Press:  11 June 2020

Maureen M. J. Smeets-Janssen ,
Idan M. Aderka ,
Paul D. Meesters ,
Sjors Lange ,
Sigfried Schouws  and
Didi Rhebergen
Maureen M. J. Smeets-Janssen*
Affiliation:
MoleMann Mental Health, Old Age Psychiatry, Amersfoort, The Netherlands
Idan M. Aderka
Affiliation:
Department of Psychology, University of Haifa, Haifa, Israel
Paul D. Meesters
Affiliation:
GGZ Friesland, Van Andel Old Age Psychiatry, Leeuwarden, The Netherlands
Sjors Lange
Affiliation:
Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
Sigfried Schouws
Affiliation:
Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
Didi Rhebergen
Affiliation:
Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
*
Correspondence should be addressed to: Maureen M. J. Smeets-Janssen, MoleMann Mental Health, Department of Old Age Psychiatry Amersfoort, Henry Dunantstraat 32A, 3822 XHAmersfoort, The Netherlands. Phone: 00-31-6-57916709; Fax: 00-31-30-7998647. Email: [email protected].
Get access

Abstract

The nature of schizophrenia spectrum disorders with an onset in middle or late adulthood remains controversial. The aim of our study was to determine in patients aged 60 and older if clinically relevant subtypes based on age at onset can be distinguished, using admixture analysis, a data-driven technique. We conducted a cross-sectional study in 94 patients aged 60 and older with a diagnosis of schizophrenia or schizoaffective disorder. Admixture analysis was used to determine if the distribution of age at onset in this cohort was consistent with one or more populations of origin and to determine cut-offs for age at onset groups, if more than one population could be identified. Results showed that admixture analysis based on age at onset demonstrated only one normally distributed population. Our results suggest that in older schizophrenia patients, early- and late-onset ages form a continuum.

Keywords

age at onsetschizophreniaadmixture analysis
Type
Brief Report
Information
International Psychogeriatrics , Volume 32 , Issue 6: Issue Theme: Interaction of Depression and Cognition in Older Age , June 2020 , pp. 781 - 785
Copyright
© International Psychogeriatric Association 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Basford, K.E. and McLachlan, G.J. (1985). Likelihood estimation with normal mixture models. Applied Statistics, 34, 282–289.10.2307/2347474CrossRefGoogle Scholar
Day, N.E. (1969). Estimating the components of a mixture of normal distributions. Biometrika, 56, 463–474.CrossRefGoogle Scholar
Delorme, R.et al. (2005). Admixture analysis of age at onset in obsessive-compulsive disorder. Psychological Medicine, 35, 237–243.CrossRefGoogle ScholarPubMed
Downs, J.et al. (2019). Negative symptoms in early-onset psychosis and their association with antipsychotic treatment failure. Schizophrenia Bulletin, 45, 69–79.CrossRefGoogle Scholar
Hafner, H., Hambrecht, M., Loffler, W., Munk-Jörgensen, P. and Riecher-Rössler, A. (1998). Is schizophrenia a disorder of all ages? A comparison of first episodes and early course across the life-cycle. Psychological Medicine, 28, 351–365.CrossRefGoogle Scholar
Hanssen, M.et al. (2015). Comparative study of clinical and neuropsychological characteristics between early-, late and very-late-onset schizophrenia-spectrum disorders. American Journal of Geriatric Psychiatry, 23, 852–862.CrossRefGoogle ScholarPubMed
Hathaway, R.A. (1985). A constrained formulation of maximum-likelihood estimation for normal mixture distributions. Annals of Statistics, 13, 795–800.CrossRefGoogle Scholar
Hilker, R.et al. (2017). Is an early age at illness onset in schizophrenia associated with increased genetic susceptibility? analysis of data from the nationwide danish twin register. EBioMedicine, 18, 320–326.CrossRefGoogle ScholarPubMed
Howard, R., Rabins, P.V., Seeman, M.V. and Jeste, D.V. (2000). Late-onset schizophrenia and very-late-onset schizophrenia-like psychosis: an international consensus. American Journal of Psychiatry, 157, 172–178.CrossRefGoogle Scholar
Kao, Y and Liu, Y. (2010). Effects of age of onset on clinical characteristics in schizophrenia spectrum disorders. BMC Psychiatry, 10, 63–73.CrossRefGoogle ScholarPubMed
Kay, S.R., Fiszbein, A. and Opler, L.A. (1987). The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13, 261–276.CrossRefGoogle Scholar
Kolenikov, S. (2001). Denormix: stata module to perform decomposition of normal mixtures. Statistical software components archive, handle: RePec: boc: bocode: 2416605 [Online]. Available at: http://ideas.repec.org/c/boc/bocode/s416605.htmlGoogle Scholar
Liu, J.J., Norman, R.M.G., Manchanda, R. and De Luca, V. (2013). Admixture analysis of age at onset in schizophrenia: evidence of three subgroups in a first-episode sample. General Hospital Psychiatry, 35, 664–667.CrossRefGoogle Scholar
Maglione, J.E., Thomas, S.E. and Jeste, D.V. (2014). Late-onset schizophrenia: do recent studies support categorizing LOS as a subtype of schizophrenia? Current Opinion in Psychiatry, 27, 173–178.CrossRefGoogle ScholarPubMed
Meesters, P.D.et al. (2012). Schizophrenia spectrum disorders in later life: prevalence and distribution of age at onset and sex in a Dutch catchment area. American Journal of Psychiatry, 20, 18–28.Google Scholar
Panariello, F.et al. (2010). Age at onset in Canadian schizophrenia patients: admixture analysis. Schizophrenia Research, 122, 278–279.CrossRefGoogle Scholar
Sheehan, D.V.et al. (1998). The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. Journal of Clinical Psychiatry, 59, 22–33.Google ScholarPubMed
Schürhoff, F.et al. (2004). Admixture analysis of age at onset in schizophrenia. Schizophrenia Research, 71, 35–41.CrossRefGoogle Scholar
Vahia, I.V.et al. (2010). Is late-onset schizophrenia a subtype of schizophrenia? Acta Psychiatrica Scandinavica, 122, 414–426.CrossRefGoogle ScholarPubMed