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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/53324

Title: A Multiple Indicators Multiple Causes (MIMIC) model of Behavioural and Psychological Symptoms in Dementia (BPSD).
Author: LAWLOR, BRIAN
GILL, MICHAEL
Author's Homepage: http://people.tcd.ie/lawlorba
http://people.tcd.ie/mgill
Keywords: Neuroscience
Alzheimer's disease
Behavioural sub-phenotypes
Structural Equation Modelling
Confirmatory Factor Analysis (CFA)
Multiple Indicators Multiple Causes (MIMIC) model
Differential Item Functioning (DIF)
Neuropsychiatric Inventory (NPI)
Covariates
Issue Date: 2011
Citation: Proitsi P, Hamilton G, Tsolaki M, Lupton M, Daniilidou M, Hollingworth P, Archer N, Foy C, Stylios F, McGuinness B, Todd S, Lawlor B, Gill M, Brayne C, Rubinsztein DC, Owen M, Williams J, Craig D, Passmore P, Lovestone S, Powell JF, A Multiple Indicators Multiple Causes (MIMIC) model of Behavioural and Psychological Symptoms in Dementia (BPSD)., Neurobiology of Aging, 32, 3, 2011, 434-442
Series/Report no.: Neurobiology of Aging
32
3
Abstract: Introduction Although there is evidence for distinct behavioural sub-phenotypes in Alzheimer's disease (AD), their inter-relationships and the effect of clinical variables on their expression have been little investigated. Methods We have analysed a sample of 1850 probable AD patients from the UK and Greece with 10 item Neuropsychiatric Inventory (NPI) data. We applied a Multiple Indicators Multiple Causes (MIMIC) approach to investigate the effect of MMSE, disease duration, gender, age and age of onset on the structure of a four-factor model consisting of “psychosis”, “moods”, “agitation” and “behavioural dyscontrol”. Results Specific clinical variables predicted the expression of individual factors. When the inter-relationship of factors is modelled, some previously significant associations are lost. For example, lower MMSE scores predict psychosis, agitation and behavioural dyscontrol factors, but psychosis and mood predict the agitation factor. Taking these associations into account MMSE scores did not predict agitation. Conclusions The complexity of the inter-relations between symptoms, factors and clinical variables is efficiently captured by this MIMIC model.
Description: PUBLISHED
URI: http://hdl.handle.net/2262/53324
Related links: http://dx.doi.org/10.1016/j.neurobiolaging.2009.03.005
Appears in Collections:Psychiatry (Scholarly Publications)

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