Literature DB >> 29949025

The Italian version of the quick mild cognitive impairment (Qmci-I) screen: normative study on 307 healthy subjects.

Alessandro Iavarone1, Michele Carpinelli Mazzi2, Gennaro Russo3, Francesco D'Anna2, Silvio Peluso4, Pietro Mazzeo5, Vincenzo De Luca6, Giuseppe De Michele4, Guido Iaccarino5, Pasquale Abete3, Graziella Milan7, Elisabetta Garofalo8, Caterina Musella9, Rónán O'Caoimh10,11, William Molloy10, Gabriella De Joanna12, Valentino Manzo13, Ferdinando Ivano Ambra14, Alfredo Postiglione2, Maddalena Illario15.   

Abstract

OBJECTIVE: To devise an Italian version of the quick mild cognitive impairment screen (Qmci) and to obtain normative data.
METHODS: An Italian version of the Qmci screen (Qmci-I) was administered to 307 subjects free from cognitive impairment. The normative sample was divided into three age levels (50-59; 60-69 and 70-80 years) and four education levels (3-5; 6-8; 9-13; >13 years of school attendance). Multiple regression analyses were used to evaluate the effect of age, sex and schooling on Qmci-I scores (overall and by domains) and to calculate cut-off values, with reference to the confidence interval on the fifth centile.
RESULTS: The mean Qmci-I score was 64/100 (SD = 11). The age variable showed a significant negative effect on the overall Qmci-I score, with older people performing worse than younger ones. Conversely, education was associated with higher scores. Significant effects of age and education affected logical memory alone. For the other domains, the following effects were found: (1) higher age associated with lower scores on delayed recall; (2) higher education levels associated with higher scores on immediate recall, clock drawing and word fluency. The adjusted cut-off score for the Qmci-I screen in this sample was 49.4. Qmci-I scores were weakly correlated with those of MMSE (rho = 0.20).
CONCLUSIONS: The Qmci-I is a rapid and multi-domain short cognitive screening instrument useful for evaluating cognitive functions. However, like other screening tools, it is significantly influenced by age and education, requiring normative data and correction of values when used in the clinical practice.

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Year:  2018        PMID: 29949025     DOI: 10.1007/s40520-018-0981-2

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  10 in total

Review 1.  Psychometrics and diagnostics of Italian cognitive screening tests: a systematic review.

Authors:  Edoardo Nicolò Aiello; Sara Rimoldi; Nadia Bolognini; Ildebrando Appollonio; Giorgio Arcara
Journal:  Neurol Sci       Date:  2021-11-24       Impact factor: 3.830

2.  Comparison of the Greek Version of the Quick Mild Cognitive Impairment Screen and Montreal Cognitive Assessment in Older Adults.

Authors:  Lambros Messinis; Grigorios Nasios; Antonios Mougias; Panayiotis Patrikelis; Sonia Malefaki; Vasileios Panagiotopoulos; Aikaterini Ntoskou Messini; Christos Bakirtzis; Nikolaos Grigoriadis; Panagiotis Ioannidis; Stella Bairami; Valentina Papadopoulou; Phillipos Gourzis
Journal:  Healthcare (Basel)       Date:  2022-05-13

3.  Validity of the Japanese Version of the Quick Mild Cognitive Impairment Screen.

Authors:  Ayako Morita; Rónán O'Caoimh; Hiroshi Murayama; D William Molloy; Shigeru Inoue; Yugo Shobugawa; Takeo Fujiwara
Journal:  Int J Environ Res Public Health       Date:  2019-03-14       Impact factor: 3.390

4.  Normative Data for the Logical Memory Subtest of the Wechsler Memory Scale-IV in Middle-Aged and Elderly Korean People.

Authors:  Yebin D Ahn; Dahyun Yi; Haejung Joung; Eun Hyun Seo; Young Hwa Lee; Min Soo Byun; Jun Ho Lee; So Yeon Jeon; Jun-Young Lee; Bo Kyung Sohn; Dong Young Lee
Journal:  Psychiatry Investig       Date:  2019-10-28       Impact factor: 2.505

5.  Comparing the Diagnostic Accuracy of Two Cognitive Screening Instruments in Different Dementia Subtypes and Clinical Depression.

Authors:  Rónán O'Caoimh; D William Molloy
Journal:  Diagnostics (Basel)       Date:  2019-08-08

6.  Screening for Cognitive Frailty Using Short Cognitive Screening Instruments: Comparison of the Chinese Versions of the MoCA and Qmci Screen.

Authors:  Yangfan Xu; Yangyang Lin; Lingrong Yi; Zhao Li; Xian Li; Yuying Yu; Yuxiao Guo; Yuling Wang; Haoying Jiang; Zhuoming Chen; Anton Svendrovski; Yang Gao; D William Molloy; Rónán O'Caoimh
Journal:  Front Psychol       Date:  2020-04-03

Review 7.  Interactions Between EIP on AHA Reference Sites and Action Groups to Foster Digital Innovation of Health and Care in European Regions.

Authors:  Maddalena Illario; Vincenzo De Luca; Gabrielle Onorato; Giovanni Tramontano; Ana Maria Carriazo; Regina Elisabeth Roller-Wirnsberger; Joao Apostolo; Patrik Eklund; Nandu Goswami; Guido Iaccarino; Maria Triassi; John Farrell; Jean Bousquet
Journal:  Clin Interv Aging       Date:  2022-04-02       Impact factor: 4.458

8.  Editorial: Highlights in Hypertension: 2021.

Authors:  Guido Iaccarino
Journal:  Front Cardiovasc Med       Date:  2022-06-15

Review 9.  "One Health" Approach for Health Innovation and Active Aging in Campania (Italy).

Authors:  Vincenzo De Luca; Giovanni Tramontano; Luigi Riccio; Ugo Trama; Pietro Buono; Mario Losasso; Umberto Marcello Bracale; Giovanni Annuzzi; Rosa Zampetti; Francesco Cacciatore; Giannamaria Vallefuoco; Alberto Lombardi; Anna Marro; Mariarosa Anna Beatrice Melone; Cristina Ponsiglione; Maria Luisa Chiusano; Giancarlo Bracale; Gaetano Cafiero; Aurelio Crudeli; Carmine Vecchione; Maurizio Taglialatela; Donatella Tramontano; Guido Iaccarino; Maria Triassi; Regina Roller-Wirnsberger; Jean Bousquet; Maddalena Illario
Journal:  Front Public Health       Date:  2021-05-11

10.  Time of isolation, education and gender influence the psychological outcome during COVID-19 lockdown in caregivers of patients with dementia.

Authors:  Michele Carpinelli Mazzi; Alessandro Iavarone; Caterina Musella; Marzia De Luca; Dalila de Vita; Stefano Branciforte; Alessia Coppola; Rosa Scarpa; Sabina Raimondo; Sara Sorrentino; Flavia Lualdi; Alfredo Postiglione
Journal:  Eur Geriatr Med       Date:  2020-10-14       Impact factor: 1.710

  10 in total

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