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Assessing mild behavioral impairment with the mild behavioral impairment checklist in people with subjective cognitive decline

Published online by Cambridge University Press:  18 July 2018

Sabela C. Mallo*
Affiliation:
Department of Developmental and Educational Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
Zahinoor Ismail
Affiliation:
Department of Psychiatry and the Mathison Centre for Mental Health Research & Education, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Department of Clinical Neurosciences and Hotchkiss Brain Institute, and The Ron and Rene Ward Centre for Healthy Brain Aging Research, University of Calgary, Calgary, Alberta, Canada
Arturo X. Pereiro
Affiliation:
Department of Developmental and Educational Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
David Facal
Affiliation:
Department of Developmental and Educational Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
Cristina Lojo-Seoane
Affiliation:
Department of Developmental and Educational Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
María Campos-Magdaleno
Affiliation:
Department of Developmental and Educational Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
Onésimo Juncos-Rabadán
Affiliation:
Department of Developmental and Educational Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain
*
Correspondence should be addressed to: Sabela C. Mallo, Developmental Psychology, University of Santiago de Compostela, Xosé María Suárez Núñez Street, Campus Sur, Santiago de Compostela, ES–15782, Spain. Phone +34 881-813-949; Fax +34 881-813-901. Email: [email protected].
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Abstract

Objectives:

To estimate the prevalence of Mild Behavioral Impairment (MBI) in people with Subjective Cognitive Decline (SCD), and validate the Mild Behavioral Impairment Checklist (MBI-C) with respect to score distribution, sensitivity, specificity, and utility for MBI diagnosis, as well as correlation with other neuropsychological tests.

Design:

Correlational study with a convenience sampling. Descriptive, logistic regression, ROC curve, and bivariate correlations analyses were performed.

Setting:

Primary care health centers.

Participants:

127 patients with SCD.

Measurements:

An extensive evaluation, including Questionnaire for Subjective Memory Complaints, Mini-Mental State Examination, Cambridge Cognitive Assessment-Revised, Neuropsychiatric Inventory-Questionnaire (NPI-Q), the Geriatric Depression Scale-15 items (GDS-15), the Lawton and Brody Index and the MBI-C, which was administered by phone to participants’ informants.

Results:

MBI prevalence was 5.8% in those with SCD. The total MBI-C scoring was low and differentiated people with MBI at a cut-off point of 8.5 (optimizing sensitivity and specificity). MBI-C total scoring correlated positively with NPI-Q, Questionnaire for Subjective Cognitive Complaints (QSCC) from the informant and GDS-15.

Conclusions:

The phone administration of the MBI-C is useful for detecting MBI in people with SCD. The prevalence of MBI in SCD was low. The MBI-C detected subtle Neuropsychiatric symptoms (NPS) that were correlated with scores on the NPI-Q, depressive symptomatology (GDS-15), and memory performance perceived by their relatives (QSCC). Next steps are to determine the predictive utility of MBI in SCD, and its relation to incident cognitive decline over time.

Type
Original Research Article
Copyright
Copyright © International Psychogeriatric Association 2018 

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