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Predicting Cognitive Impairment using a Self-Report Discrepancy in Older Adults.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Predicting Cognitive Impairment using a Self-Report Discrepancy in Older Adults./
Author:	Kintzing, Rebekah M.
Description:	1 online resource (54 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:	Dissertation Abstracts International79-03B(E).
Subject:	Clinical psychology. -
Online resource:	click for full text (PQDT)
ISBN:	9780355494761

Predicting Cognitive Impairment using a Self-Report Discrepancy in Older Adults.
Kintzing, Rebekah M.

Predicting Cognitive Impairment using a Self-Report Discrepancy in Older Adults. - 1 online resource (54 pages)

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.

Thesis (Psy.D.)

Includes bibliographical references

Research in neuropsychology demonstrates that cognitive impairment can alter an individual's perception about their abilities. There is a correlational relationship between functional living and cognition, yet there may be instances when individuals do not provide accurate or reliable self-report to these abilities; corroborative data on IADLs is essential when evaluating for cognitive impairment. To date, no known studies have evaluated how a discrepancy between self-report and performance based measures predict cognitive impairment. This study creates a discrepancy score between these two measures in an attempt to predict level of dementia by examining 198 adults (age 57-90) self-referred for neuropsychological assessment. Test results from the Dementia Rating Scale 2, Texas Functional Living Scale, Lawton IADL, and ACT Word Choice were collected and utilized to create a discrepancy score between self-report and performance. A standard multiple regression was run with the criterion variable as the DRS-2 Total Score, and predictor variables as Lawton, TFLS, Discrepancy Score, and Effort to evaluate the predictive capacity of these variables. The regression model predicted a large percentage of variance in the criterion variable (R 2 = .54, F(3, 194) = 77.26, p < .001). Specifically, performance-based measures (B = 30.17, beta = .44, t = 7.43, p < .001) and effort (B = .74, beta = .37, t = 6.21, p < .001) were significantly predictive of cognitive impairment, but not the discrepancy score or self-report. Implications include that importance of including performance measures and effort in neuropsychological batteries. Limitations and directions for future research is discussed.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355494761Subjects--Topical Terms:

649607
Clinical psychology.
Index Terms--Genre/Form:

554714
Electronic books.

Predicting Cognitive Impairment using a Self-Report Discrepancy in Older Adults.
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504 $a Includes bibliographical references
520 $a Research in neuropsychology demonstrates that cognitive impairment can alter an individual's perception about their abilities. There is a correlational relationship between functional living and cognition, yet there may be instances when individuals do not provide accurate or reliable self-report to these abilities; corroborative data on IADLs is essential when evaluating for cognitive impairment. To date, no known studies have evaluated how a discrepancy between self-report and performance based measures predict cognitive impairment. This study creates a discrepancy score between these two measures in an attempt to predict level of dementia by examining 198 adults (age 57-90) self-referred for neuropsychological assessment. Test results from the Dementia Rating Scale 2, Texas Functional Living Scale, Lawton IADL, and ACT Word Choice were collected and utilized to create a discrepancy score between self-report and performance. A standard multiple regression was run with the criterion variable as the DRS-2 Total Score, and predictor variables as Lawton, TFLS, Discrepancy Score, and Effort to evaluate the predictive capacity of these variables. The regression model predicted a large percentage of variance in the criterion variable (R 2 = .54, F(3, 194) = 77.26, p < .001). Specifically, performance-based measures (B = 30.17, beta = .44, t = 7.43, p < .001) and effort (B = .74, beta = .37, t = 6.21, p < .001) were significantly predictive of cognitive impairment, but not the discrepancy score or self-report. Implications include that importance of including performance measures and effort in neuropsychological batteries. Limitations and directions for future research is discussed.
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