Bhagyashree, Sheshadri Iyengar Raghavan Nagaraj, Kiran Prince, Martin Fall, Caroline H. D. and Krishna, Murali 2018. Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India. Social Psychiatry and Psychiatric Epidemiology, Vol. 53, Issue. 1, p. 77.
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Tomaszewski Farias, Sarah Giovannetti, Tania Payne, Brennan R. Marsiske, Michael Rebok, George W. Schaie, K. Warner Thomas, Kelsey R. Willis, Sherry L. Dzierzewski, Joseph M. Unverzagt, Frederick and Gross, Alden L. 2018. Self-perceived Difficulties in Everyday Function Precede Cognitive Decline among Older Adults in the ACTIVE Study. Journal of the International Neuropsychological Society, Vol. 24, Issue. 01, p. 104.
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Beaver, Jenna and Schmitter-Edgecombe, Maureen 2017. Multiple Types of Memory and Everyday Functional Assessment in Older Adults. Archives of Clinical Neuropsychology, Vol. 32, Issue. 4, p. 413.
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Neuropsychologists are often asked to answer questions about the effects of cognitive deficits on everyday functioning. This study examined the relationship between and the cognitive correlates of self-report, performance-based, and direct observation measures commonly used as proxy measures for everyday functioning. Participants were 88 community-dwelling, cognitively healthy older adults (age 50–86 years). Participants completed standardized neuropsychological tests and questionnaires, and performed eight activities of daily living (e.g., water plants, fill a medication dispenser) while under direct observation in a campus apartment. All proxy measures of everyday function were sensitive to the effects of healthy cognitive aging. After controlling for age, cognitive predictors explained a unique amount of the variance for only the performance-based behavioral simulation measure (i.e., Revised Observed Tasks of Daily Living). The self-report instrumental activities of daily living (IADL) and the performance-based everyday problem-solving test (i.e., EPT) did not correlate with each other; however, both were unique predictors of the direct observation measure. These findings suggest that neuropsychologists must be cautious in making predictions about the quality of everyday activity completion in cognitively healthy older adults from specific cognitive functions. The findings further suggest that a self-report of IADLs and the performance-based EPT may be useful measures for assessing everyday functional status in cognitively healthy older adults. (JINS, 2011, 17, 853–864)
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