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Sahlgrenska Academy Self-reported Cognitive Impairment Questionnaire (SASCI-Q) – a research tool discriminating between subjectively cognitively impaired patients and healthy controls

Published online by Cambridge University Press:  04 December 2012

Marie Eckerström*
Affiliation:
Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Johanna Skoogh
Affiliation:
Department of Oncology, Division of Clinical Cancer Epidemiology, Institute of Clinical Sciences, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Sindre Rolstad
Affiliation:
Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Mattias Göthlin
Affiliation:
Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Gunnar Steineck
Affiliation:
Department of Oncology, Division of Clinical Cancer Epidemiology, Institute of Clinical Sciences, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Boo Johansson
Affiliation:
Department of Psychology, University of Gothenburg, Gothenburg, Sweden
Anders Wallin
Affiliation:
Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
*
Correspondence should be addressed to: Marie Eckerström, Institute of Neuroscience and Physiology, Wallinsgatan 6, SE 431 39 Mölndal, Sweden. Phone: +46 31 343 86 74; +46 709 129 599. Fax: +46 31 27 62 21. Email: [email protected].
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Abstract

Background: Subjective cognitive impairment (SCI) is a potential early marker for actual cognitive decline. The cognitive manifestation of the SCI stage is, however, largely unknown. Self-report instruments developed especially for use in the SCI population are lacking, and many SCI studies have not excluded mild cognitive impairment and dementia. We developed and tested a patient-based questionnaire on everyday cognitive function aiming to discriminate between patients with subjective, but not objective, cognitive impairment and healthy controls.

Methods: Individuals experiencing cognitive impairment were interviewed to generate a pool of items. After condensing to 97 items, we tested the questionnaire in 93 SCI patients seeking care at a memory clinic (age M = 64.5 years, Mini-Mental State Examination (MMSE) M = 29.0) and 50 healthy controls (age M = 69.6 years, MMSE M = 29.3). Further item reduction was conducted to maximize that remaining items would discriminate between SCI patients and controls, using a conservative α level and requiring medium to high effect sizes. Internal consistency reliability and convergent validity was subsequently examined.

Results: Forty-five items discriminated between the groups, resulting in the Sahlgrenska Academy Self-reported Cognitive Impairment Questionnaire (SASCI-Q). Internal consistency was high and correlations to a single question on memory functioning were of medium to large sizes. Most remaining items were related to the memory domain.

Conclusion: The SASCI-Q discriminates between SCI patients and healthy controls and demonstrates satisfying psychometric properties. The instrument provides a research method for examining SCI and forms a foundation for future examining which SCI symptoms predict objective cognitive decline. The cognitive manifestation of the SCI stage is mostly related to experiences of memory deficits.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2012

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References

Abdulrab, K. and Heun, R. (2008). Subjective memory impairment. A review of its definitions indicates the need for a comprehensive set of standardised and validated criteria. European Psychiatry: The Journal of the Association of European Psychiatrists, 23, 321330. doi:10.1016/j.eurpsy.2008.02.004.CrossRefGoogle ScholarPubMed
Blair, E. and Burton, S. (1987). Cognitive processes used by survey respondents to answer behavioral frequency questions. Journal of Consumer Research, 14, 280288.CrossRefGoogle Scholar
Broadbent, D. E., Cooper, P. F., Fitzgerald, P. and Parkes, K. R. (1982). The Cognitive Failures Questionnaire (CFQ) and its correlates. The British Journal of Clinical Psychology, 21, 116.CrossRefGoogle ScholarPubMed
Burton, C. L., Strauss, E., Bunce, D., Hunter, M. A. and Hultsch, D. F. (2009). Functional abilities in older adults with mild cognitive impairment. Gerontology, 55, 570581. doi:10.1159/000228918.CrossRefGoogle ScholarPubMed
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Hove, Erlbaum Associates.Google Scholar
Crook, T. H. III and Larrabee, G. J. (1990). A self-rating scale for evaluating memory in everyday life. Psychology and Aging, 5, 4857.CrossRefGoogle ScholarPubMed
Dixon, R. A. and Hultsch, D. F. (1983). Structure and development of metamemory in adulthood. Journal of Gerontology, 38, 682688.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, 189198.CrossRefGoogle Scholar
Frank, L.et al. (2006). Validation of a new symptom impact questionnaire for mild to moderate cognitive impairment. International Psychogeriatrics, 18, 135149. doi:10.1017/S1041610205002887.CrossRefGoogle ScholarPubMed
Frank, L., Lenderking, W. R., Howard, K. and Cantillon, M. (2011). Patient self-report for evaluating mild cognitive impairment and prodromal Alzheimer's disease. Alzheimer's Research & Therapy, 3, 35. doi:10.1186/alzrt97.CrossRefGoogle ScholarPubMed
Gilewski, M. J., Zelinski, E. M. and Schaie, K. W. (1990). The Memory Functioning Questionnaire for assessment of memory complaints in adulthood and old age. Psychology and Aging, 5, 482490.CrossRefGoogle ScholarPubMed
Hertzog, C., Park, D. C., Morrell, R. W. and Martin, M. (2000). Ask and ye shall receive: behavioural specificity in the accuracy of subjective memory complaints. Applied Cognitive Psychology, 14, 257275.3.0.CO;2-O>CrossRefGoogle Scholar
Jonker, C., Geerlings, M. I. and Schmand, B. (2000). Are memory complaints predictive for dementia? A review of clinical and population-based studies. International Journal of Geriatric Psychiatry, 15, 983991.Google ScholarPubMed
Lautenschlager, N. T., Flicker, L., Vasikaran, S., Leedman, P. and Almeida, O. P. (2005). Subjective memory complaints with and without objective memory impairment: relationship with risk factors for dementia. The American Journal of Geriatric Psychiatry, 13, 731734. doi:10.1176/appi.ajgp.13.8.731.CrossRefGoogle ScholarPubMed
Locke, D. E.et al. (2009). Assessment of patient and caregiver experiences of dementia-related symptoms: development of the Multidimensional Assessment of Neurodegenerative Symptoms Questionnaire. Dementia and Geriatric Cognitive Disorders, 27, 260272. doi:10.1159/000203890.CrossRefGoogle ScholarPubMed
Morris, J. C. (1997). Clinical dementia rating: a reliable and valid diagnostic and staging measure for dementia of the Alzheimer type. International Psychogeriatrics, 9 (Suppl 1), 173176; discussion 177–178.CrossRefGoogle ScholarPubMed
Newson, R. S. and Kemps, E. B. (2006). The nature of subjective cognitive complaints of older adults. International Journal of Aging & Human Development, 63, 139151.CrossRefGoogle ScholarPubMed
Nordlund, A., Rolstad, S., Hellstrom, P., Sjogren, M., Hansen, S. and Wallin, A. (2005). The Goteborg MCI study: mild cognitive impairment is a heterogeneous condition. Journal of Neurology, Neurosurgery, and Psychiatry, 76, 14851490. doi:10.1136/jnnp.2004.050385.CrossRefGoogle ScholarPubMed
Nordlund, A., Rolstad, S., Klang, O., Edman, A., Hansen, S. and Wallin, A. (2010). Two-year outcome of MCI subtypes and aetiologies in the Goteborg MCI study. Journal of Neurology, Neurosurgery, and Psychiatry, 81, 541546. doi:10.1136/jnnp.2008.171066.CrossRefGoogle ScholarPubMed
Pedrosa, H.et al. (2010). Functional evaluation distinguishes MCI patients from healthy elderly people – the ADCS/MCI/ADL scale. The Journal of Nutrition, Health & Aging, 14, 703709.CrossRefGoogle ScholarPubMed
Prichep, L. S.et al. (2006). Prediction of longitudinal cognitive decline in normal elderly with subjective complaints using electrophysiological imaging. Neurobiology of Aging, 27, 471481. doi:10.1016/j.neurobiolaging.2005.07.021.CrossRefGoogle ScholarPubMed
Reisberg, B. and Gauthier, S. (2008). Current evidence for subjective cognitive impairment (SCI) as the pre-mild cognitive impairment (MCI) stage of subsequently manifest Alzheimer's disease. International Psychogeriatrics, 20, 116. doi:10.1017/S1041610207006412.CrossRefGoogle ScholarPubMed
Reisberg, B., Ferris, S. H., De Leon, M. J. and Crook, T. (1982). The Global Deterioration Scale for assessment of primary degenerative dementia. The American Journal of Psychiatry, 139, 11361139.Google ScholarPubMed
Reisberg, B.et al. (2008). The pre-mild cognitive impairment, subjective cognitive impairment stage of Alzheimer's disease. Alzheimer's & Dementia, 4, S98108. doi:10.1016/j.jalz.2007.11.017.CrossRefGoogle ScholarPubMed
Royall, D. R., Mahurin, R. K. and Gray, K. F. (1992). Bedside assessment of executive cognitive impairment: the executive interview. Journal of the American Geriatrics Society, 40, 12211226.CrossRefGoogle ScholarPubMed
Skoogh, J.et al. (2012). Testicular-cancer survivors experience compromised language following chemotherapy: findings in a Swedish population-based study 3–26 years after treatment. Acta Oncologica, 51, 185197. doi:10.3109/0284186X.2011.602113.CrossRefGoogle Scholar
Steineck, G., Bergmark, K., Henningsohn, L., Al-Abany, M., Dickman, P. W. and Helgason, A. (2002). Symptom documentation in cancer survivors as a basis for therapy modifications. Acta Oncologica, 41, 244252.CrossRefGoogle ScholarPubMed
Wallin, A.et al. (1996). Stepwise comparative status analysis (STEP): a tool for identification of regional brain syndromes in dementia. Journal of Geriatric Psychiatry and Neurology, 9, 185199.CrossRefGoogle ScholarPubMed