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Cognitive test battery for evaluating elderly Chinese Americans

Published online by Cambridge University Press:  02 October 2018

Clara Li ,
Judith Neugroschl ,
Carolyn W. Zhu ,
Mari Umpierre ,
Jane Martin ,
Xiaoyi Zeng ,
Qiying Huang ,
Hillel Grossman ,
Dongming Cai  and
Mary Sano
Clara Li*
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA
Judith Neugroschl
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA
Carolyn W. Zhu
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA James J. Peters VA Medical Center, New York, NY, USA
Mari Umpierre
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA
Jane Martin
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA
Xiaoyi Zeng
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA
Qiying Huang
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA
Hillel Grossman
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA James J. Peters VA Medical Center, New York, NY, USA
Dongming Cai
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA James J. Peters VA Medical Center, New York, NY, USA
Mary Sano
Affiliation:
Icahn School of Medicine at Mount Sinai, New York, NY, USA James J. Peters VA Medical Center, New York, NY, USA
*
Correspondence should be addressed to: Clara Li, 1 Gustave L. Levy Place, Box 1230, New York, NY 10029, USA. Phone: 212-659-8786; Fax: 212-996-0987. Email: [email protected].
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Abstract

Objectives:

This study aimed to determine the diagnostic utility of a Chinese test battery for evaluating cognitive loss in elderly Chinese Americans.

Methods:

Data from a pilot study at the Mount Sinai Alzheimer’s Disease Research Center was examined. All participants were > 65 years old, primarily Chinese speaking, with adequate sensorimotor capacity to complete cognitive tests. A research diagnosis of normal mild cognitive impairment (MCI) or Alzheimer’s disease (AD) was assigned to each participant in consensus conference. Composite scores were created to summarize test performance on overall cognition, memory, attention executive function, and language. Multivariable logistic regression models were used to assess the sensitivity of each cognitive domain for discriminating three diagnostic categories. Adjustment was made for demographic variables (i. e., age, gender, education, primary language, and years living in the USA).

Results:

The sample included 67 normal, 37 MCI, and 12 AD participants. Performance in overall cognition, memory, and attention executive function was significantly worse in AD than in MCI, and performance in MCI was worse than in normal controls. Language performance followed a similar pattern, but differences did not achieve statistical significance among the three diagnostic groups.

Conclusions:

This study highlights the need for cognitive assessment in elderly Chinese immigrants.

Keywords

cognitive functionelderlyChinese immigrantscognitive testingcognitive batteryChinese elders
Type
Original Research Article
Information
International Psychogeriatrics , Volume 31 , Issue 4: Issue Theme: Aging and Well-Being , April 2019 , pp. 505 - 511
Copyright
© International Psychogeriatric Association 2018 

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References

Albert, M. S. et al. (2011). The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging–Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia, 7, 270–279. doi: 10.1016/j.jalz.2011.03.008.CrossRefGoogle Scholar
Appell, J., Kertesz, A. and Fisman, M. (1982). A study of language functioning in Alzheimer patients. Brain and Language, 17, 73–91. doi: 10.1016/0093-934X(82)90006-2.CrossRefGoogle ScholarPubMed
Benson, G., De Felipe, J., Luo, X. and Sano, M. (2014). Performance of Spanish-speaking community-dwelling elders in the United States on the uniform data set. Alzheimer’s & Dementia, 10, S338–S343. doi: 10.1016/j.jalz.2013.09.002.CrossRefGoogle ScholarPubMed
Brennan, C., Ross, L. K., Nazareno, J. and Fox, P. (2009). Alzheimer’s Disease Facts and Figures in California. San Francisco: Institute for Health Policy, University of California.Google Scholar
Cosentino, S. A. et al. (2010). Plasma ss-amyloid and cognitive decline. Archives of Neurology, 67, 1485–1490. doi: 10.1001/archneurol.2010.189.CrossRefGoogle ScholarPubMed
Diesfeldt, H. F., Van Der Elst, W. and Jolles, J. (2009). [Category fluency (animals, professions) in normal cognitive ageing and dementia]. Tijdschrift voor gerontologie en geriatrie, 40, 54–71.Google Scholar
Fleisher, A. S., Sowell, B. B., Taylor, C., Gamst, A. C., Petersen, R. C. and Thal, L. J. (2007). Clinical predictors of progression to Alzheimer disease in amnestic mild cognitive impairment. Neurology, 68, 1588–1595. doi: 10.1212/01.wnl.0000258542.58725.4c.CrossRefGoogle ScholarPubMed
Ganguli, M., Snitz, , , B. E., Lee, C. W., Vanderbilt, J., Saxton, J. A. and Chang, C. C. (2010). Age and education effects and norms on a cognitive test battery from a population-based cohort: The Monongahela-Youghiogheny Healthy Aging Team. Aging and Mental Health, 14, 100–107. doi: 10.1080/13607860903071014.CrossRefGoogle ScholarPubMed
Garrett, K. D. et al. (2013). Assessing Verbal and Visual Serial Learning: The California Verbal Learning Test and the Philadelphia (Repeatable) Verbal Learning Test. New York: Oxford University Press.Google Scholar
Gold, D. A. (2012). An examination of instrumental activities of daily living assessment in older adults and mild cognitive impairment. Journal of Clinical and Experimental Neuropsychology, 34, 11–34. doi: 10.1080/13803395.2011.614598.CrossRefGoogle ScholarPubMed
He, J. et al. (2010). Brain structure and cerebrovascular risk in cognitively impaired patients: Shanghai community brain health initiative-pilot phase. Archives of Neurology, 67(10), 1231–1237. doi: 10.1001/archneurol.2010.230.CrossRefGoogle Scholar
Karimpoor, M., Churchill, N. W., Tam, F., Fischer, C. E., Schweizer, T. A. and Graham, S. J. (2017). Tablet-based functional MRI of the trail making test: Effect of tablet interaction mode. Frontiers in Human Neuroscience, 11, 496. doi: 10.3389/fnhum.2017.00496.CrossRefGoogle ScholarPubMed
Katsumata, Y. et al. (2015). Assessing the discriminant ability, reliability, and comparability of multiple short forms of the Boston Naming Test in an Alzheimer’s disease center cohort. Dementia and Geriatric Cognitive Disorders, 39, 215–227. doi: 10.1159/000370108.CrossRefGoogle Scholar
Li, C. et al. (2016). Recruiting US Chinese elders into clinical research for dementia. Alzheimer Disease and Associated Disorders, 30, 345–347. doi: 10.1097/WAD.0000000000000162.CrossRefGoogle ScholarPubMed
McKhann, G. M. et al. (2011). The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia, 7, 263–269. doi: 10.1016/j.jalz.2011.03.005.CrossRefGoogle Scholar
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), 173–176; discussion 177–178. doi: 10.1017/S1041610297004870.CrossRefGoogle ScholarPubMed
Nandipati, S., Luo, X., Schimming, C., Grossman, H. T. and Sano, M. (2012). Cognition in non-demented diabetic older adults. Current Aging Science, 5, 131–135. doi: 10.2174/1874609811205020131.CrossRefGoogle ScholarPubMed
Nasreddine, Z. S. et al. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53, 695–699. doi: 10.1111/j.1532-5415.2005.53221.x.CrossRefGoogle ScholarPubMed
Nguyen, D. and Bornheimer, L. A. (2014). Mental health service use types among Asian Americans with a psychiatric disorder: Considerations of culture and need. Journal of Behavioral Health Services & Research, 41, 520–528. doi: 10.1007/s11414-013-9383-6.CrossRefGoogle ScholarPubMed
Salmon, D. P., Jin, H., Zhang, M., Grant, I. and Yu, E. (1995). Neuropsychological assessment of Chinese elderly in the Shanghai dementia survey. The Clinical Neuropsychologist, 9, 159–168. doi: 10.1080/13854049508401598.CrossRefGoogle Scholar
Sayegh, P. and Knight, B. G. (2013). Assessment and diagnosis of dementia in Hispanic and non-Hispanic white outpatients. Gerontologist, 53, 760–769. doi: 10.1093/geront/gns190.CrossRefGoogle ScholarPubMed
Smits, L. L. et al. (2012). Early onset Alzheimer’s disease is associated with a distinct neuropsychological profile. Journal of Alzheimer’s Disease, 30, 101–108. doi: 10.3233/JAD-2012-111934.CrossRefGoogle ScholarPubMed
Stricks, L., Pittman, J., Jacobs, D. M., Sano, M. and Stern, Y. (1998). Normative data for a brief neuropsychological battery administered to English- and Spanish-speaking community-dwelling elders. Journal of the International Neuropsychological Society, 4, 311–318.Google ScholarPubMed
Wang, X., Wang, H., Li, H., Li, T. and Yu, X. (2014). Frequency of the apolipoprotein E epsilon4 allele in a memory clinic cohort in Beijing: A naturalistic descriptive study. PLoS One, 9, e99130. doi: 10.1371/journal.pone.0099130.CrossRefGoogle Scholar
Wechsler, D. (1981). The Wechsler Adult Intelligence Scale-Revised. New York: Psychological Corporation.Google Scholar
Yesavage, J. A. et al. (1982). Development and validation of a geriatric depression screening scale: A preliminary report. Journal of Psychiatric Research, 17, 37–49. doi: 10.1016/0022-3956(82)90033-4.CrossRefGoogle ScholarPubMed
Zheng, L. et al. (2012). Chinese-language Montreal Cognitive Assessment for Cantonese or Mandarin speakers: Age, education, and gender effects. International Journal of Alzheimer’s Disease, 2012, 1–10. doi: 10.1155/2012/204623.CrossRefGoogle ScholarPubMed