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Published Online: 7 July 2023

Measuring Antisocial Behaviors in Behavioral Variant Frontotemporal Dementia With a Novel Informant-Based Questionnaire

Publication: The Journal of Neuropsychiatry and Clinical Neurosciences

Abstract

Objective:

Antisocial behaviors are common and problematic among patients with behavioral variant frontotemporal dementia (bvFTD). In the present study, the investigators aimed to validate an informant-based questionnaire developed to measure the extent and severity of antisocial behaviors among patients with dementia.

Methods:

The Social Behavior Questionnaire (SBQ) was developed to measure 26 antisocial behaviors on a scale from absent (0) to very severe (5). It was administered to 23 patients with bvFTD, 19 patients with Alzheimer’s disease, and 14 patients with other frontotemporal lobar degeneration syndromes. Group-level differences in the presence and severity of antisocial behaviors were measured. Psychometric properties of the SBQ were assessed by using Cronbach’s alpha, exploratory factor analysis, and comparisons with a psychopathy questionnaire. Cluster analysis was used to determine whether the SBQ identifies different subgroups of patients.

Results:

Antisocial behaviors identified by using the SBQ were common and severe among patients with bvFTD, with at least one such behavior endorsed for 21 of 23 (91%) patients. Antisocial behaviors were more severe among patients with bvFTD, including the subsets of patients with milder cognitive impairment and milder disease severity, than among patients in the other groups. The SBQ was internally consistent (Cronbach’s α=0.81). Exploratory factor analysis supported separate factors for aggressive and nonaggressive behaviors. Among the patients with bvFTD, the factor scores for aggressive behavior on the SBQ were correlated with those for antisocial behavior measured on the psychopathy scale, but the nonaggressive scores were not correlated with psychopathy scale measures. The k-means clustering analysis identified a subset of patients with severe antisocial behaviors.

Conclusions:

The SBQ is a useful tool to identify, characterize, and measure the severity of antisocial behaviors among patients with dementia.

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Supplementary Material

File (appi.neuropsych.20220135.ds001.pdf)

Information & Authors

Information

Published In

Go to The Journal of Neuropsychiatry and Clinical Neurosciences
Go to The Journal of Neuropsychiatry and Clinical Neurosciences
The Journal of Neuropsychiatry and Clinical Neurosciences
Pages: 374 - 384
PubMed: 37415501

History

Received: 11 July 2022
Revision received: 21 November 2022
Accepted: 2 February 2023
Published online: 7 July 2023
Published in print: Fall 2023

Keywords

  1. Dementia
  2. Antisocial Behavior
  3. Behavioral Variant Frontotemporal Dementia
  4. Informant-Based Questionnaire
  5. Neuropsychiatric Rating Scales

Authors

Affiliations

Jerica E. Reeder, B.S.
Ciaran M. Considine, Ph.D.
Daniel O. Claassen, M.D.

Notes

Send correspondence to Dr. Darby ([email protected]).
This study was presented as a poster at the 3rd Annual Vanderbilt Alzheimer’s Disease Research Day, Nashville, March 31, 2022, and at the International Congress on Frontotemporal Dementias, Lille, France, November 5, 2022.

Competing Interests

Dr. Claassen has received research support from the Griffin Foundation, the Huntington’s Disease Society of America, the National Center for Complementary and Integrative Health, the National Institute of Child Health and Human Development, the National Institute of Neurological Disorders and Stroke, the National Institute on Aging, and NIH; he has received pharmaceutical grant support from AbbVie, Acadia, Biogen, Bristol Myers Squibb, Cerecour, Eli Lilly, Jazz Pharmaceuticals, Lundbeck, Teva Neuroscience, Wave Life Sciences, and Vaccinex; and he has received personal fees for consulting and advisory board participation from Cerevel, Lundbeck, Neurocrine, and Teva Neuroscience. The other authors report no financial relationships with commercial interests.

Funding Information

This work was supported by the National Institute on Aging (grant K23-AG-070320) and Vanderbilt University (Vanderbilt Faculty Research Scholars Award).

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