184
Views
6
CrossRef citations to date
0
Altmetric
Cognition

Italian adaptation of the Beaumont Behavioral Inventory (BBI): psychometric properties and clinical usability

, , , , , , , , , , & show all
Pages 81-86 | Received 20 Apr 2021, Accepted 14 Jun 2021, Published online: 19 Jul 2021
 

Abstract

Objective. Up to 50% of patients affected by amyotrophic lateral sclerosis (ALS) show behavioral changes within the spectrum of frontotemporal degeneration (FTD). Behavioral dysfunctions in ALS patients negatively impact on management, prognosis and survival. It is, thus, crucial to develop ALS-specific psychometric tools for early detecting alterations in behavior. This study aimed at investigating psychometric properties and feasibility of the Beaumont Behavioral Impairment (BBI), a proxy-report questionnaire designed to screen for FTD-like behavioral symptoms in ALS patients.

Methods. Ninety ALS patients were compared to 100 healthy participants (HPs) on the BBI. ALS patients underwent clinical, cognitive, mood/anxiety and further behavioral (Frontal System Behavior Scale, FrSBe; Frontal Behavioral Inventory, FBI) evaluation. Validity, reliability, sensitivity and specificity of the BBI were assessed.

Results. The BBI was significantly related to FrSBe and FBI scores, whereas not to other measures. A Principal Component Analysis yielded a mono-component structure; Cronbach’s α was .93. The BBI proved to be sensitive to changes in behavior as well as to discriminate between different degrees of dysfunction. By addressing the FrSBe as the gold standard, the BBI reached optimal sensitivity (85.7%) and specificity (79.7%) at a cutoff of 10.5. Moreover, the BBI proved to be more accurate than the FrSBe and the FBI in clinical classifications.

Conclusion. The BBI showed high internal consistency, as well as good construct, convergent and divergent validity. Its clinical usability is encouraged in ALS patients as being able to sensitively and specifically detect FTD-like behavioral changes.

Acknowledgments

The authors would like to thank patients and their relatives, together with the other volunteers who participated to this research.

Disclosure statement

Barbara Iazzolino, Debora Pain, Laura Peotta, Edoardo Nicolò Aiello, Alice Radici, Marcello Gallucci, Francesca Palumbo, Antonio Canosa, Cristina Moglia, and Gabriele Mora report no conflicts of interest. Andrea Calvo has received a research grant from Cytokinetics. Adriano Chiò serves on scientific advisory boards for Mitsubishi Tanabe, Roche, Biogen, Denali Pharma, Amylyx, and Cytokinetics. The sponsor organizations had no role in data collections and analysis and did not participate to writing and approving the manuscript. The information reported in the manuscript has never been reported elsewhere.

Additional information

Funding

This work was in part supported by the Italian Ministry of Health (Ministero della Salute, Ricerca Sanitaria Finalizzata, [grant RF-2016-02362405]), the European Commission’s Health Seventh Framework Programme (FP7/2007-2013 under grant agreement [259867]), and the Joint Programme—Neurodegenerative Disease Research (Strength, ALS-Care and Brain-Mend projects), granted by Italian Ministry of Education, University and Research. This study was in part supported by a Thierry Latran Foundation Grant (INSPIRED). This study was performed under the Department of Excellence grant of the Italian Ministry of Education, University and Research to the ‘Rita Levi Montalcini’ Department of Neuroscience, University of Torino, Italy.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 478.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.