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Cognitive performance norms from the Korean genome and epidemiology study (KoGES)

Published online by Cambridge University Press:  13 July 2017

Hyun Kim
Affiliation:
Department of Psychological and Brain Sciences, Boston University, Boston, USA Departments of Anatomy & Neurobiology, Neurology and Framingham Heart Study, Boston University School of Medicine, Boston, Massachusetts, USA Department of Epidemiology, Boston University School of Public Health, USA Institute of Human Genomic Study, Korea University Ansan Hospital, South Korea
Rhoda Au
Affiliation:
Departments of Anatomy & Neurobiology, Neurology and Framingham Heart Study, Boston University School of Medicine, Boston, Massachusetts, USA Department of Epidemiology, Boston University School of Public Health, USA
Robert J. Thomas
Affiliation:
Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, USA
Chang-Ho Yun
Affiliation:
Department of Neurology, Seoul National University Bundang Hospital, South Korea
Seung Ku Lee
Affiliation:
Institute of Human Genomic Study, Korea University Ansan Hospital, South Korea
Changsu Han
Affiliation:
Department of Psychiatry, Korea University College of Medicine, South Korea
Chol Shin*
Affiliation:
Institute of Human Genomic Study, Korea University Ansan Hospital, South Korea Department of Respiratory Internal Medicine, Korea University Ansan Hospital, South Korea
*
Correspondence should be addressed to: Chol Shin, MD, PhD, FCCP, Korea University Ansan Hospital, #516, Gojan1-dong, Danwon-gu, Ansan, Kyeonggi-do, South Korea. Phone: +82-31-412-5603; Fax: +82-31-412-5604. Email: chol-shin@hanmail.net.

Abstract

Background:

While normative data on neuropsychological performance provide baseline metrics for the assessment and diagnosis of mild cognitive impairment and dementia, a lack of comparative normative data in non-Caucasian populations makes it difficult to conduct similar evaluations and studies in individuals from diverse backgrounds. The current paper aims to provide normative data on a range of cognitive measures in a Korean general population sample and investigate various demographic and health variables associated with cognitive performance in this representative population.

Method(s):

The study population was 1,528 stroke and dementia-free individuals who participated in the Korean Genome and Epidemiology study (KoGES) (mean age 60.43 ± 7.30, 52.42% female). All participants underwent a comprehensive neuropsychological test battery that included verbal and visual memory, language, attention, and executive function measures. A health examination and a questionnaire-based interview were also administered.

Results:

The majority of cognitive test results were associated with age, education, and gender. In general, higher education and younger age was associated with better cognitive performance. Explained variance increased modestly in models that included measures of general health and depressive symptoms.

Conclusion:

Normative data of cognitive performance in a community based Korean population are presented. These norms provide reference values in a non-Caucasian middle to older aged sample.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2017 

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Footnotes

The current work was performed at the Institute of Human Genomic Study, Korea University Ansan Hospital.

References

Alzheimer's Association Alzheimer's Disease Facts & Figures (2009). Informative Document That Provides An Excellent Summary Of Current Knowledge Regarding Alzheimer's Disease Including Prevalence, Incidence, Costs, Risk Factors, Symptoms And Treatments. Available at: http://www.alz.org/national/documents/report_alzfactsfigures2009.pdf; last accessed 7 July 2014.Google Scholar
An, H. J. and Chey, J. Y. (2004). A standardization study of the story recall test in the elderly Korean population. Korean Journal of Psychology, 23, 435454.Google Scholar
Au, R. et al. (2004). New norms for a new generation: cognitive performance in the Framingham offspring cohort. Experimental Aging Research, 30, 333358.Google Scholar
Baldo, J. V., and Shimamura, A. P. (1998). Letter and category fluency in patients with frontal lobe lesions. Neuropsychology, 12, 259267.Google Scholar
Baumgart, M., Snyder, H. M., Carrillo, M. C., Fazio, S., Kim, H. and Johns, H. (2015). Summary of the evidence on modifiable risk factors for cognitive decline and dementia: a population-based perspective. Alzheimer's & Dementia, 11, 718726.Google Scholar
Beck, A. T. (1988). Psychometric properties of the beck depression inventory: twenty-five years of evaluation. Clinical Psychology Review, 8, 77100.CrossRefGoogle Scholar
Birren, J. E. and Morrison, D. F. (1961). Analysis of the WAIS subtests in relation to age and education. Journal of Gerontology, 16, 363369.Google Scholar
Bornstein, R. A. (1986). Classification rates obtained with “standard” cut-off scores on selected neuropsychological measures. Journal of Clinical and Experimental Neuropsychology, 8, 413420.Google Scholar
Brookmeyer, R., Gray, S. and Kawas, C. (1998). Projections of Alzheimer's disease in the United States and the public health impact of delaying disease onset. American Journal of Public Health, 88, 13371342.Google Scholar
Cagney, K. A. and Lauderdale, D. S. (2002). Education, wealth, and cognitive function in later life. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 57, P163P172.Google Scholar
Dore, G. A., Elias, M. F., Robbins, M. A., Elias, P. K. and Brennan, S. L. (2007). Cognitive performance and age: norms from the Maine-Syracuse study. Experimental Aging Research, 33, 205271.Google Scholar
Elias, J. W. and Wagster, M. V. (2007). Developing context and background underlying cognitive intervention/training studies in older populations. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 62, Spec No 1, 510.Google Scholar
Elias, M. F., Elias, P. K., D'Agostino, R. B., Silbershatz, H. and Wolf, P. A. (1997). Role of age, education, and gender on cognitive performance in the Framingham heart study: community-based norms. Experimental Aging Research, 23, 201235.CrossRefGoogle ScholarPubMed
Farmer, M. E., Kittner, S. J., Rae, D. S., Bartko, J. J. and Regier, D. A. (1995). Education and change in cognitive function. The epidemiologic catchment area study. Annals of Epidemiology, 5, 17.Google Scholar
Gupta, S. et al. (2011). Neuropsychological performance in mainland china: the effect of urban/rural residence and self-reported daily academic skill use. Journal of International Neuropsychological Society, 17, 163173.Google Scholar
Heaton, R. K., Ryan, L. and Grant, I. (2009). Demographic influences and use of demographically corrected norms in neuropsychological assessment. In Grant, I. and Adams, K. M. (eds.), Neuropsychological Assessment of Neuropsychiatric and Neuromedical Disorders (3rd edn). New York: Oxford University Press.Google Scholar
Jang, J. Y., and Kim, J. (2015). Association between handgrip strength and cognitive impairment in elderly Koreans: a population-based cross-sectional study. Journal of Physical Therapy Science, 27, 39113915.Google Scholar
Kang, Y. and Na, D. L. (2003). Seoul Neuropsychological Screening Battery (SNSB). (1st edn). Incheon: Human Brain Research & Consulting Co.Google Scholar
Kim, H. et al. (2013). Obstructive sleep apnea as a risk factor for cerebral white matter change in a middle-aged and older general population. Sleep, 36, 709715B.Google Scholar
Kim, Y. J., Han, J. W., So, Y. S., Seo, J. Y., Kim, K. Y. and Kim, K. W. (2014). Prevalence and trends of dementia in Korea: a systematic review and meta-analysis. Journal of Korean Medical Sciences, 29, 903912 Google Scholar
Kye, B., Arenas, E., Teruel, G. and Rubalcava, L. (2014). Education, elderly health, and differential population aging in South Korea: a demographic approach. Demographic Research, 30, 753794.Google Scholar
Lee, J. H. et al. (2002). Development of the Korean version of the consortium to establish a registry for Alzheimer's disease assessment packet (CERAD-K): clinical and neuropsychological assessment batteries. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 57, P47P53.Google Scholar
Lopez, O. L. and DeKosky, S. T. (2003). Neuropathology of Alzheimer's disease and mild cognitive impairment. Revista de Neurologia, 37, 155163.Google Scholar
Lyu, J., Lee, C. M. and Dugan, E. (2014). Risk factors related to cognitive functioning: a cross-national comparison of U.S. and Korean older adults. The International Journal of Aging and Human Development, 79, 81101.Google Scholar
Salthouse, T. A., Kausler, D. H. and Saults, J. S. (1990). Age, self-assessed health status, and cognition. Journal of Gerontology, 45, P156P160.Google Scholar
Seo, E. H. et al. (2006). A normative study of the trail making test in Korean elders. International Journal of Geriatric Psychiatry, 21, 844852.CrossRefGoogle ScholarPubMed
Seo, E. H. et al. (2008). Normative study of the stroop color and word test in an educationally diverse elderly population. International Journal of Geriatric Psychiatry, 23, 10201027.Google Scholar
Seshadri, S. et al. (2006). The lifetime risk of stroke: estimates from the Framingham study. Stroke, 37, 345350.Google Scholar
Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of International Neuropsychology Society, 8, 448460.Google Scholar
Trenerry, M. R., Crosson, B., DeBoe, J. and Leber, W. R. (1989). Stroop Neuropsychological Screening Test. Odessa, FL: Psychological Assessment Resources.Google Scholar
Vanderploeg, R. D., Axlerod, B. N., Sherer, M., Scott, J. and Adams, R. L. (1997). The importance of demographic adjustments on neuropsychological test performance: a response to Reitan and Wolfson (1995). The Clinical Neuropsychologist, 11, 210217.Google Scholar
Wang, Q. et al. (2011). Normative data on a battery of neuropsychological tests in the Han Chinese population. Journal of Neuropsychology, 5 (Pt 1), 126142.Google Scholar
Wiederholt, W. C., Cahn, D., Butters, N. M., Salmon, D. P., Kritz-Silverstein, D. and Barrett-Connor, E. (1993). Effects of age, gender and education on selected neuropsychological tests in an elderly community cohort. Journal of American Geriatric Society, 41, 639647.Google Scholar
Wilson, D., Peters, R., Ritchie, K. and Ritchie, C. W. (2011). Latest advances on interventions that may prevent, delay or ameliorate dementia. Therapeutic Advances in Chronic Disease, 2, 161173.Google Scholar
Yang, L. et al. (2012). Normative data for neuropsychological tests in a rural elderly Chinese cohort. Clinical Neuropsychology, 26, 641653.Google Scholar
Zakzanis, K. K., Mraz, R. and Graham, S. J. (2005). An fMRI study of the Trail Making Test. Neuropsychologia, 43,18781886.Google Scholar
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