↓ Skip to main content

The Cambridge Behavioural Inventory revised

Overview of attention for article published in Dementia & Neuropsychologia, January 2008
Altmetric Badge

Citations

dimensions_citation
186 Dimensions

Readers on

mendeley
126 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The Cambridge Behavioural Inventory revised
Published in
Dementia & Neuropsychologia, January 2008
DOI 10.1590/s1980-57642009dn20200005
Pubmed ID
Authors

Helen J. Wear, Catherine J. Wedderburn, Eneida Mioshi, Caroline H. Williams-Gray, Sarah L. Mason, Roger A. Barker, John R. Hodges

Abstract

Neurobehavioural and psychiatric symptoms are common in a range of neurodegenerative disorders with distinct profiles which are helpful in the diagnosis and monitoring of these disorders. The Cambridge Behavioural Inventory (CBI) has been shown to distinguish frontotemporal dementia (FTD), Alzheimer's disease (AD), Huntington's disease (HD) and Parkinson's disease (PD), but it is lengthy. To develop a shorter version of the 81 item CBI. CBI data from 450 participants with behavioural variant frontotemporal dementia (bv-FTD) (64), AD (96), PD (215) and HD (75) were analysed using Principal Components Analysis and measures of internal consistency (Cronbach alpha). A reduced 45-item questionnaire was developed. The instrument identified distinct behavioural profiles and performed as well as the original version. A shorter (45 item) version of the CBI is capable of differentiating bv-FTD and AD from PD and HD. It may be useful in delineating the type and extent of problems in these disorders as well as monitoring therapeutic interventions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Argentina 1 <1%
Unknown 121 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 23%
Researcher 22 17%
Student > Master 15 12%
Other 11 9%
Student > Bachelor 11 9%
Other 19 15%
Unknown 19 15%
Readers by discipline Count As %
Psychology 31 25%
Neuroscience 29 23%
Medicine and Dentistry 28 22%
Nursing and Health Professions 4 3%
Agricultural and Biological Sciences 3 2%
Other 10 8%
Unknown 21 17%