Italian adaptation of the Uniform Data Set Neuropsychological Test Battery (I-UDSNB 1.0): development and normative data

Francesca Conca, Valentina Esposito, Francesco Rundo, Davide Quaranta, Cristina Muscio, Rosa Manenti, Giulia Caruso, Ugo Lucca, Alessia Antonella Galbussera, Sonia Di Tella, Francesca Baglio, Federica L'Abbate, Elisa Canu, Valentina Catania, Massimo Filippi, Giulia Mattavelli, Barbara Poletti, Vincenzo Silani, Raffaele Lodi, Maddalena De Matteis, Michelangelo Stanzani Maserati, Andrea Arighi, Emanuela Rotondo, Antonio Tanzilli, Andrea Pace, Federica Garramone, Carlo Cavaliere, Matteo Pardini, Cristiano Rizzetto, Sandro Sorbi, Roberta Perri, Pietro Tiraboschi, Nicola Canessa, Maria Cotelli, Raffaele Ferri, Sandra Weintraub, Camillo Marra, Fabrizio Tagliavini, Eleonora Catricalà, Stefano Francesco Cappa, Francesca Conca, Valentina Esposito, Francesco Rundo, Davide Quaranta, Cristina Muscio, Rosa Manenti, Giulia Caruso, Ugo Lucca, Alessia Antonella Galbussera, Sonia Di Tella, Francesca Baglio, Federica L'Abbate, Elisa Canu, Valentina Catania, Massimo Filippi, Giulia Mattavelli, Barbara Poletti, Vincenzo Silani, Raffaele Lodi, Maddalena De Matteis, Michelangelo Stanzani Maserati, Andrea Arighi, Emanuela Rotondo, Antonio Tanzilli, Andrea Pace, Federica Garramone, Carlo Cavaliere, Matteo Pardini, Cristiano Rizzetto, Sandro Sorbi, Roberta Perri, Pietro Tiraboschi, Nicola Canessa, Maria Cotelli, Raffaele Ferri, Sandra Weintraub, Camillo Marra, Fabrizio Tagliavini, Eleonora Catricalà, Stefano Francesco Cappa

Abstract

Background: Neuropsychological testing plays a cardinal role in the diagnosis and monitoring of Alzheimer's disease. A major concern is represented by the heterogeneity of the neuropsychological batteries currently adopted in memory clinics and healthcare centers. The current study aimed to solve this issue.

Methods: Following the initiative of the University of Washington's National Alzheimer's Coordinating Center (NACC), we presented the Italian adaptation of the Neuropsychological Test Battery of the Uniform Data Set (I-UDSNB). We collected data from 433 healthy Italian individuals and employed regression models to evaluate the impact of demographic variables on the performance, deriving the reference norms.

Results: Higher education and lower age were associated with a better performance in the majority of tests, while sex affected only fluency tests and Digit Span Forward.

Conclusions: The I-UDSNB offers a valuable and harmonized tool for neuropsychological testing in Italy, to be used in clinical and research settings.

Keywords: Alzheimer’s disease; Cognition; Neuropsychological tests; UDS.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Histograms showing the distributions of the examples of test scores in the battery

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