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Psychometric characteristics of the Rivermead Behavioural Memory Test (RBMT) as an early detection instrument for dementia and mild cognitive impairment in Brazil

Published online by Cambridge University Press:  02 July 2010

Mônica Sanches Yassuda ,
Mariana Kneese Flaks ,
Luciane Fátima Viola ,
Fernanda Speggiorin Pereira ,
Claudia Maia Memória ,
Paula Villela Nunes  and
Orestes Vicente Forlenza
Mônica Sanches Yassuda*
Affiliation:
Psychogeriatric Unit, Laboratory of Neuroscience (LIM 27), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
Mariana Kneese Flaks
Affiliation:
Gerontology, School of Arts, Sciences and Humanities (EACH), University of São Paulo, São Paulo, Brazil
Luciane Fátima Viola
Affiliation:
Gerontology, School of Arts, Sciences and Humanities (EACH), University of São Paulo, São Paulo, Brazil
Fernanda Speggiorin Pereira
Affiliation:
Gerontology, School of Arts, Sciences and Humanities (EACH), University of São Paulo, São Paulo, Brazil
Claudia Maia Memória
Affiliation:
Gerontology, School of Arts, Sciences and Humanities (EACH), University of São Paulo, São Paulo, Brazil
Paula Villela Nunes
Affiliation:
Gerontology, School of Arts, Sciences and Humanities (EACH), University of São Paulo, São Paulo, Brazil
Orestes Vicente Forlenza
Affiliation:
Gerontology, School of Arts, Sciences and Humanities (EACH), University of São Paulo, São Paulo, Brazil
*
Correspondence should be addressed to: Mônica Sanches Yassuda, Ph.D., Laboratory of Neuroscience (LIM 27), Department and Institute of Psychiatry, Rua Dr. Ovídio Pires de Campos, 785 - Cerqueira César, 05403-010 - São Paulo – SP, Brazil. Phone: +55-11-3069-7267; Fax: +55-11-3069-7924. Email: [email protected].
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Abstract

Background: The Rivermead Behavioural Memory Test (RBMT) assesses everyday memory by means of tasks which mimic daily challenges. The objective was to examine the validity of the Brazilian version of the RBMT to detect cognitive decline.

Methods: 195 older adults were diagnosed as normal controls (NC) or with mild cognitive impairment (MCI) or Alzheimer's disease (AD) by a multidisciplinary team, after participants completed clinical and neuropsychological protocols.

Results: Cronbach's α was high for the total sample for the RBMT profile (PS) and screening scores (SS) (PS = 0.91, SS = 0.87) and for the AD group (PS = 0.84, SS = 0.85), and moderate for the MCI (PS = 0.62, SS = 0.55) and NC (PS = 0.62, SS = 0.60) groups. RBMT total scores, Appointment, Pictures, Immediate and Delayed Story, Immediate and Delayed Route, Delayed Message and Date contributed to differentiate NC from MCI. ROC curve analyses indicated high accuracy to differentiate NC from AD patients, and, moderate accuracy to differentiate NC from MCI.

Conclusions: The Brazilian version of the RBMT seems to be an appropriate instrument to identify memory decline in Brazilian older adults.

Keywords

agingcognitionneuropsychologytestsvalidationAlzheimer's diseaseMCI
Type
Research Article
Information
International Psychogeriatrics , Volume 22 , Special Issue 6: Focus on training in psychogeriatrics , September 2010 , pp. 1003 - 1011
Copyright
Copyright © International Psychogeriatric Association 2010

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References

Abreu, I. D., Nunes, P. V., Diniz, B. S. and Forlenza, O. V. (2008). Combining functional scales and cognitive tests in screening for mild cognitive impairment at a university-based memory clinic in Brazil. Revista Brasileira de Psiquiatria, 30, 346–349.CrossRefGoogle Scholar
American Psychiatric Association (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. Washington, DC: American Psychiatric Association.Google Scholar
Alonso, A. A. and Prieto, P. (2004). Validación de la version em español del Test Conductual de Memoria de Rivermead (RBMT) para problación mayor de 70 años. Psicothema, 16, 325–328.Google Scholar
Blessed, G., Tomlinson, B. E. and Roth, M. (1968). The association between quantitative measures of dementia and of senile change in the cerebral grey matter of elderly subjects. British Journal of Psychiatry, 114, 797–811.CrossRefGoogle ScholarPubMed
Bottino, C. M. C., Almeida, O. P., Tamai, S., Forlenza, O. V., Scalco, M. Z. and Carvalho, I. A. M. (1999). Entrevista Estruturada para Diagnóstico de Transtornos Mentais em Idosos. PROTER [Structured Interview for the Diagnosis of Mental Disorders in the Elderly]. São Paulo: Instituto de Psiquiatria do Hospital das Clínicas da Faculdade de Medicina da USP.Google Scholar
Brucki, S. M. D., Nitrini, P., Caramelli, P., Bertolucci, P. H. F. and Okamoto, I. H. (2003). Sugestões para o uso do Mini-Exame do Estado Mental no Brasil [Suggestions for the use of the Mini-mental State Examination]. Arquivos de Neuropsiquiatria, 61, 777–781.CrossRefGoogle Scholar
Diniz, B. S. et al. (2008). MCI: cognitive screening or neuropsychological assessment? Revista Brasileira de Psiquiatria, 30, 316–321.CrossRefGoogle ScholarPubMed
Diniz, B. S., Nunes, P. V., Yassuda, M. S. and Forlenza, O. V. (2009). Diagnosis of MCI revisited after one year: preliminary results of a prospective study. Dementia and Geriatric Cognitive Disorders, 27, 224–231.CrossRefGoogle ScholarPubMed
Flaks, M. K. et al. (2006). The Short Cognitive Performance Test (SKT): a preliminary study of its psychometric properties in Brazil. International Psychogeriatrics, 18, 121–133.CrossRefGoogle ScholarPubMed
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.CrossRefGoogle ScholarPubMed
Hamilton, R. S. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery and Psychiatry, 23, 56–62.CrossRefGoogle ScholarPubMed
Huppert, F. A. and Beardsall, L. (1993). Prospective memory impairment as an early indicator of dementia. Journal of Clinical and Experimental Neuropsychology, 15, 805–821.CrossRefGoogle ScholarPubMed
Jorm, A. F. and Jacomb, P. A. (1989) The Informant Questionnaire on Cognitive Decline in the Elderly: sociodemographics correlates, reliability, validity and some norms. Psychological Medicine, 19, 1015–1022.CrossRefGoogle ScholarPubMed
Kazui, H. et al. (2005). Everyday memory impairment of patients with mild cognitive impairment. Dementia and Geriatric Cognitive Disorders, 19, 331–337.CrossRefGoogle ScholarPubMed
Küçükdeveci, A. A., Kutlay, S., Elhan, A. H. and Tennant, A. (2008). Construct validity and reliability of the Rivermead Behavioural Memory Test in the Turkish population. Brain Injury, 22, 75–82.CrossRefGoogle ScholarPubMed
Lourenço, R. A., Ribeiro-Filho, S. T., Moreira, I. F., Paradela, E. M. and Miranda, A. S. (2008). The Clock Drawing Test: performance among elderly with low educational level. Revista Brasileira de Psiquiatria, 30, 309–315.CrossRefGoogle ScholarPubMed
Makatura, T. J., Lam, C. S., Leahy, B. J., Castillo, M. T. and Kalpakjian, C. Z. (1999). Standardized memory tests and the appraisal of everyday memory. Brain Injury, 13, 355–367.Google ScholarPubMed
Martins, S. P. and Damasceno, B. P. (2008). Prospective and retrospective memory in mild Alzheimer's disease. Arquivos de Neuropsiquiatria, 66, 318–322.CrossRefGoogle ScholarPubMed
Matsuda, A., Kazui, H., Hirono, N. and Mori, E. (2002). Validity of the Japanese version of Rivermead Behavioural Memory Test for evaluation of everyday memory function in patients with mild Alzheimer's disease. No To Shinkei, 54, 673–678.Google ScholarPubMed
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D. and Stadlan, E. M. (1984). Clinical diagnosis of Alzheimer disease: Report of NINCDS-ADRDA Work Group under the auspices of the Department of Health and Human Service Task Force on Alzheimer Disease. Neurology, 34, 939–944.CrossRefGoogle Scholar
Minett, T. S. C., Da Silva, R. V., Ortiz, K. Z. and Bertolucci, P. H. F. (2008). Subjective memory complaints in an elderly sample: a cross sectional-study, International Journal of Geriatric Psychiatry, 23, 49–54.CrossRefGoogle Scholar
Neri, A. L. (2007). Idosos no Brasil: Vivências, desafios e expectativas na terceira idade (Elders in Brazil: Experiencies, challenges and expectations in the third age). São Paulo: Editora Fundação Perseu Abramo, Edições SESC.Google Scholar
Neter, J., Kutner, M. H., Li, W. and Nachtsheim, C. J. (2005). Applied Linear Statistical Models. New York: McGraw-Hill.Google Scholar
Nitrini, R., Caramelli, P., Bottino, C. M. C., Damasceno, B. P., Brucki, S. M. D. and Anghinah, R. (2005). Diagnóstico de doença de Alzheimer no Brasil. Avaliação cognitiva e funcional. Recomendações do Departamento Científico de Neurologia Cognitiva e do Envelhecimento da Academia Brasileira de Neurologia (Diagnosis of Alzheimer's disease in Brazil: cognitive and functional evaluation. Recommendations of the Scientific Department of Cognitive Neurology and Aging of the Brazilian Academy of Neurology). Arquivos de Neuropsiquiatria, 63, 720–727.CrossRefGoogle Scholar
Nunes, P. V. et al. (2008). CAMCOG as a screening tool for diagnosis of mild cognitive impairment and dementia in a Brazilian clinical sample of moderate to high education. International Journal of Geriatric Psychiatry, 23, 1127–1133.CrossRefGoogle Scholar
Oliveira, R. and Schmidt, S. L. (1999). Teste Comportamental de Memória de Rivermead: Manual da Versão Traduzida e Adaptada para o Brasil [Rivermead Behavioural Memory Test: Manual for the Version Translated and Adapted for Brazil]. Rio de Janeiro: Cognição.Google Scholar
Ostrosky-Solis, F., Jaime, R. M. and Ardila, A. (1998). Memory abilities during normal aging. International Journal of Neuroscience, 93, 151–162.CrossRefGoogle ScholarPubMed
Pérez, M. and Godoy, J. (1998). Comparison between a “traditional” memory test and a “behavioral” memory battery in Spanish patients. Journal of Clinical and Experimental Neuropsychology, 20, 496–502.CrossRefGoogle Scholar
Petersen, R. C. (2004). Mild cognitive impairment as a diagnostic entity. Journal of Internal Medicine, 256, 183–194.CrossRefGoogle ScholarPubMed
Roth, M. et al. (1986). CAMDEX: a standardized instrument for the diagnosis of mental disorders in the elderly with special reference to early detection of dementia. British Journal of Psychiatry, 149, 698–709.CrossRefGoogle ScholarPubMed
Vianna Paulo, D. L. and Yassuda, M. S. (2010). The relation between memory complaints among older adults and education, cognitive performance, depressive and anxiety symptoms. Revista de Psiquiatria Clínica, 37, 23–26.Google Scholar
Wilson, B., Cockburn, J. and Baddeley, A. D. (1985). Rivermead Behavioural Memory Test. Flempton: Thames Valley Test Company.Google Scholar
Wilson, B., Cockburn, J., Baddeley, A. D. and Hiorns, R. (1989). The development and validation of a test battery for detecting and monitoring everyday memory problems. Journal of Clinical and Experimental Neuropsychology, 11, 855–870.CrossRefGoogle ScholarPubMed
Yassuda, M. S. et al. (2006). Preliminary analyses of the psychometric characteristics of the Rivermead Behavioral Memory Test (RBMT) as an early detection instrument for AD in Brazil (Alzheimer's Association 10th International Conference on AD and Related Disorders). Alzheimer's and Dementia (Suppl.) 2, 387.CrossRefGoogle Scholar
Yassuda, M. S. et al. (2009). Neuropsychological profile of Brazilian older adults with heterogeneous educational backgrounds. Archives of Clinical Neuropsychology, 24, 71–79.CrossRefGoogle ScholarPubMed