Journals of Gerontology Series A: Biological Sciences and Medical Sciences Large Type Edition
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Royall, D. R.
Right arrow Articles by Polk, M. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Royall, D. R.
Right arrow Articles by Polk, M. J.
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 55:M541-M546 (2000)
© 2000 The Gerontological Society of America

Correlates of Disability Among Elderly Retirees With "Subclinical" Cognitive Impairment

Donald R. Royalla,b,c, Laura K. Chiodob and Marsha J. Polka

a Departments of Psychiatry, South Texas Veterans' Health System Audie L. Murphy Division GRECC and the University of Texas Health Science Center, San Antonio
b Departments of Medicine, South Texas Veterans' Health System Audie L. Murphy Division GRECC and the University of Texas Health Science Center, San Antonio
c Departments of Pharmacology, South Texas Veterans' Health System Audie L. Murphy Division GRECC and the University of Texas Health Science Center, San Antonio

Donald R. Royall, Department of Psychiatry, The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78284-7792 E-mail: royall{at}uthscsa.edu.

William B. Ershler, MD


    Abstract
 Top
 Abstract
 Subjects
 Material and Procedures
 Results
 Discussion
 References
 
Background. We assessed the effects of impaired Executive Control Function (ECF) on Instrumental Activities of Daily Living (IADL) and level of care among noninstitutionalized elderly retirees with "subclinical" cognitive impairment.

Methods. Subjects (N = 561; age 78.2 ± 5.0 years) were residents of a single, 1500 bed, continuing care retirement community. Subjects were examined for cognitive impairment using the Executive Interview (EXIT25), Mini-Mental State Examination (MMSE), and an executive clock-drawing task (CLOX). The CLOX is divided into executively sensitive (CLOX1) and simple constructional (CLOX2) subtests.

Results. Residents in congregate high-rises (n = 301) differed significantly from those in independent-living apartments (n = 260) with respect to age, gender, percent living alone, EXIT25, CLOX1, MMSE, and CLOX2 scores (all p < .03). Only differences in ECF measures persisted after adjusting for age and living alone ( p < .004). The EXIT25 ( p < .006) and CLOX2 ( p = .02) were associated with the use of prostheses. The differences in EXIT25 scores persisted after adjusting for level and living alone ( p = .01). All instruments distinguished residents with impairment in IADLs. However, only CLOX2 ( p < .001), EXIT25 ( p < .001), and age ( p < .001) made significant independent contributions.

Conclusions. ECF has statistically significant effects on level of care and IADL impairment, even among noninstitutionalized retirees. This emergent disability is not well detected by traditional global cognitive measures. Evaluation and treatment may be delayed unless ECF measures are employed.

IN 1994, the American Psychiatric Association added impairment of executive control function (ECF) to its list of domains that can be used to establish a diagnosis of dementia (1). Executive functions control the sequencing and execution of complex goal-directed activities (e.g., cooking, dressing, shopping, and housework). It may not be surprising then that ECF impairment has emerged as a robust determinant of functional status and disability. Alzheimer's disease (AD), Parkinson's disease, vascular dementia, major depression, diabetes mellitus, Human Immunovirus infection, and schizophrenia are all associated with either ECF impairment or frontal system pathology, which has been associated with ECF impairment (2)(3)(4)(5)(6)(7). Thus, ECF impairment may serve as a convenient basis on which to compare the severity of these disorders (8).

The association between ECF and functional status has not been fully investigated. Traditional tests of global cognitive function are often insensitive to ECF, or ignore it altogether. Consequently, epidemiological or treatment studies may be underestimating the true prevalence and/or the functional impact of dementia (9). For example, the International Working Group on Harmonization of Dementia Drug Guidelines recently recommended cognitive measures to be used in dementia assessment (10). Although the need to measure ECF was acknowledged, none of the instruments recommended were judged to be sensitive to this domain. It is also possible that many ECF-impaired subjects are being misclassified as "minimally" or "subclinically" impaired by "global" measures of dementia that are relatively insensitive to executive control (11).

We have been examining the ability of executive measures to predict level of care among the residents of comprehensive care retirement communities (CCRCs) (12)(13). CCRCs are essentially closed systems in which a resident's living setting may change in proportion to the services and supervision they require. In one such facility, only four clinical variables (e.g., executive function, medications, depression, and problem behavior ratings) made significant independent contributions to level of care. Together, they accounted for 69% of the total cross-sectional variance (R2 = .69; F[df 7,99] = 32.1; p < .0001). However, an executive measure (the Executive Interview [EXIT25]) made the strongest independent contribution (R2 = .48, p < .001) (7)(13). In contrast, age, Mini-Mental State Examination (MMSE) (14) scores, and physical disability ratings did not contribute significantly to level of care, independently of the other variables.

We examined a second cohort of CCRC residents as part of the Air Force Villages' Freedom House Study (FHS). The FHS is a longitudinal study of emergent dementia in a single (1500 bed) CCRC (the Air Force Villages). This sample is unusual in that it is culturally homogeneous (99% Caucasian), highly educated (mean = 15.1 ± 2.4 years), healthy (81% self-rated good to excellent; <10% diabetic or report a history of stroke), and affluent. 92.8% of subjects scored >=24 out of 30 on the MMSE. However, despite their relatively high education and excellent health, 40%–80% showed evidence of isolated ECF impairment (15). This impairment would appear to be subclinical in severity if judged by the MMSE or similar instruments. Nonetheless, ECF-impaired subjects may yet be suffering detectable levels of functional disability, especially if judged against young adults, who display similar general cognitive test scores, but no ECF impairment. In this article, we examine effect of ECF impairment on functional status among the noninstitutionalized FHS participants.


    Subjects
 Top
 Abstract
 Subjects
 Material and Procedures
 Results
 Discussion
 References
 
Elderly retirees (N = 561) were assessed as part of the FHS. Subjects represent a random sample of Air Force Villages' residents over the age of 70 years living at noninstitutionalized levels of care. Data for this analysis were collected in the first year of the study (1994–1995). Informed consent was obtained prior to their evaluations.


    Material and Procedures
 Top
 Abstract
 Subjects
 Material and Procedures
 Results
 Discussion
 References
 
The subjects were rated on ECF, general cognitive function, cross-sectional level of care, instrumental activities of daily living (IADL), and the use of prostheses. Clinical data were obtained by trained clinical research technicians using a structured clinical interview administered in the subject's residence. Information on IADLs and prosthesis usage was elicited directly from the subject and confirmed with a spouse or caregiver, if available. Cognitive measures were administered directly to the subject by a psychometrician in a separate interview, usually conducted within a week of the first.

Cognitive Measures
The EXIT25.-- The EXIT25 (7)(16) provides a standardized clinical ECF assessment. It contains 25 items designed to elicit signs of frontal system pathology (e.g., imitation, intrusions, disinhibition, environmental dependency, perseveration, frontal release, etc.). The EXIT25 requires 15 minutes to administer and can be given by nonmedical personnel. Interrater reliability is high (r = .90). It correlates well with other measures of ECF including the Wisconsin Card Sorting Task (WCST; r = .54), Trail-Making Part B (r = .64), Lezak's Tinker Toy test (r = .57), and the Test of Sustained Attention (time, r = .82; errors, r = .83). EXIT25 scores are reported to correlate strongly and specifically with mesiofrontal cerebral blood flow (rCBF) by single photon emission computerized tomography (17). Scores range from 0 to 50. High scores indicate impairment. A cut point of 15 out of 50 is recommended.

CLOX: an executive clock-drawing task.-- The CLOX (18) is an even briefer ECF measure based on a clock-drawing task. It is divided into two parts. CLOX1 is an unprompted task that is sensitive to executive control. CLOX2 is a copied version that is less dependent on executive skills. Each CLOX subtest is scored on a 15-point scale. Low scores are impaired. Cut points of 10 out of 15 (CLOX1) and 12 out of 15 (CLOX2) represent the 5th percentiles for young adult controls (18). In a sample of 196 CCRC residents, we found that both the EXIT25 and CLOX1, but neither the MMSE nor CLOX2, made significant independent contributions to the number of categories achieved on the WCST (19). The EXIT25 accounts for 68% of CLOX1 variance (18).

The MMSE.-- The MMSE (14) is a well-known and widely used test for screening cognitive impairment (20). Scores range from 0 to 30, with scores below 24 reflecting cognitive impairment. In these analyses, the MMSE is considered a proxy for posterior cortical pathology. It has no items that are specifically addressed to ECF (21) and may underestimate cognitive impairment in frontal system disorders (6)(11).

Functional Status Measures
Level of care.-- The Air Force Villages CCRC provides services at three levels of care. These include independent-living apartments (level 1), in which essentially no services are provided; congregate high-rises (level 2), in which laundry, housecleaning, meals, and medication supervision are provided; and skilled nursing units (level 3), in which residents are provided with assistance in their Activities of Daily Living (ADLs), nursing care, and medications. Only noninstitutionalized residents living at levels 1 or 2 were included in this analysis.

IADLs.-- IADLs were assessed using the Older American Research and Service Center Instrument (OARS) (22). The OARS instrument is a multidimensional-assessment tool that provides information in three domains likely to influence functional outcomes in the setting of executive dyscontrol: social resources, physical health, and IADLs. In addition, the OARS services utilization section provides data on the quantity and quality of services provided to subjects by their caregivers. These sections of the OARS have been independently validated and can be administered separately (Greda Fillenbaum, personal communication, 1992).


    Results
 Top
 Abstract
 Subjects
 Material and Procedures
 Results
 Discussion
 References
 
Table 1 presents the mean demographic characteristics and clinical test scores for the total sample (N = 561) and both levels of care. Residents in congregate high-rises (n = 301) differed significantly from those in independent-living apartment settings (n = 260) with respect to age, gender, percent living alone, EXIT25, CLOX1, MMSE, and CLOX2 scores (all different by analysis of variance [ANOVA] [1,559], p < .03). The differences in age, CLOX1, MMSE, and EXIT25 scores survived Bonferroni correction to p < .007.


View this table:
[in this window]
[in a new window]
 
Table 1. Clinical Features of Cases, Stratified by Level of Care

 
The differences in CLOX1 scores persisted after adjusting for constructional performance on CLOX2 (analysis of covariance [ANCOVA]: F [1,553] = 11.3, p < .0010), suggesting that the executive portion of the CLOX variance is most important to the level of care. The reverse is not true (ANCOVA: CLOX2 [covarying CLOX1] F [1,553] =.46, p = not significant [NS]). Similarly, only the differences in executive measures (CLOX1 and EXIT25) persist after adjusting for age and living alone (by ANCOVA [1,553], both p < .004).

We also examined the relative ability of the EXIT25, CLOX1, MMSE, and CLOX2 to distinguish between residents at each level of care by dichotomizing the subjects' test scores at each instrument's established cut points (EXIT25 = 15 out of 50; CLOX1 = 10 out of 15; MMSE = 24 out of 30; CLOX2 = 12 out of 15). After adjusting for age and living alone, a multivariate analysis of covariance (MANCOVA) was significant [df (4,553) Wilks's {Lambda} =.97, p < .003]. However, in post hoc tests, only executive measures (EXIT25 [ p < .002] and CLOX1 [ p < .001]) made significant contributions independent of the other variables (Tukey's Honest Significant Difference Test for unequal NS).

Cognitive impairment had significant effects on the use of adaptive devices. The EXIT25 (ANOVA: F [1,556] = 7.62, p < .006) and CLOX2 (ANOVA: F [1,556] = 5.16, p = .02) were significantly associated with the use of any prosthesis, including a hearing aid, cane, or walker. The EXIT25's ability to distinguish these groups persists after adjusting for level of care and living alone (ANCOVA: F [1,553] = 6.31, p = .01). CLOX2 shows a trend (ANCOVA: F [1,551] = 3.67, p = .06). However, CLOX2 cannot distinguish residents' use of prostheses after adjusting for the EXIT25 (ANOVA: F [1,553] = 2.81, p = NS). Interestingly, the effects of ECF impairment on prosthesis usage and level of care were in the opposite directions (Fig. 1). Passing the EXIT25 was associated with the increased use of prostheses and a lower average level of care. Failing the EXIT25 was associated with a higher risk of congregate high-rise placement and diminished use of prostheses and adaptive devices.



View larger version (13K):
[in this window]
[in a new window]
 
Figure 1. EXIT25 performance and its effects on prosthesis use and level of care. Rao R (2,558) = 9.07; p = .0001.

 
Table 2 presents each instrument's ability to distinguish residents with IADL impairment. After Bonferroni correction, only CLOX1 fails to distinguish residents with impairment in each individual IADL domain. In an unforced, backwards, stepwise multiple regression model of total IADL scores, only three variables, CLOX2 ( p < .001), EXIT25 ( p < .001), and age ( p < .001) made significant independent contributions (R2 = .15; F [3,547] = 33.05, p < .001; Table 3 ). CLOX1, living alone, MMSE, and gender were sequentially ejected.


View this table:
[in this window]
[in a new window]
 
Table 2. Clinical Test Scores and IADL Impairment by Individual IADL Domain (ANOVA [2,553])

 

View this table:
[in this window]
[in a new window]
 
Table 3. An Unforced, Backwards, Stepwise Multiple Regression Model of Total IADL Scores Among n = 551 Healthy Elderly Retirees

 
After adjusting for both CLOX2 and age, the EXIT25 significantly distinguishes residents by the severity of their impairment in telephone usage ( p < .003), transportation usage ( p < .02), meal preparation ( p = .001), medication management (p < .001), and finances ( p < .02; by multivariate analysis of variance [MANOVA] [2,551]). Similarly, after adjusting for both the EXIT25 and age, CLOX2 significantly distinguishes residents by the severity of their impairment in telephone usage ( p < .04), shopping ( p < .001), transportation usage ( p < .01), housework ( p < .005), medication management ( p < .004), and finances ( p < .001; by MANOVA [2,551]).


    Discussion
 Top
 Abstract
 Subjects
 Material and Procedures
 Results
 Discussion
 References
 
This study confirms that impairment in ECF has statistically significant effects on level of care and functional status. This is consistent with our previous observation that ECF is a major determinant of cross-sectional level of care within the CCRC setting (13). However, this analysis goes beyond that earlier work in three important ways. First, this sample is taken from a second CCRC, suggesting that our earlier finding of a strong association between ECF and level of care was not limited to local factors in a single facility. Second, this is a random sample. The earlier study examined a convenience sample. Third, these subjects were not institutionalized at the time of their assessment. We have essentially detected incipient disability among relatively high functioning retirees. Because the FHS is a longitudinal study, we will eventually be able to examine the effects of ECF impairment on these residents' time to institutionalization and other transitions within the CCRC system.

Only ECF measures (EXIT25 and CLOX1) had a significant independent effect on cross-sectional level of care. This was robust, surviving adjustment for age, percent living alone, and Bonferroni correction. We have previously shown that the EXIT25 makes a strong independent contribution to level of care in CCRC residents (7)(13). CLOX1 (but not CLOX2) shares this property. Similarly, Grace and coworkers (23) report that CLOX1 (but not CLOX2) is a significant independent predictor of "life space" (a measure of functional autonomy) among elderly community residents. CLOX1 has been specifically designed to measure ECF. In fact, CLOX1 is more "executive" than several other comparable clock-drawing tasks (24).

It is important to notice that the ECF impairment detected by the EXIT25 and CLOX1 is not well detected by the MMSE. The mean MMSE score for this sample was 27.7 ± 2.8. Of this sample, 92.8% scored >=24 out of 30. Nonetheless, 30.8% failed the EXIT25 at 15 out of 50. In our earlier CCRC study, 55% of subjects who scored >=24 on the MMSE failed the EXIT25 at 15 out of 50 (13). Similarly, in a recent study of type 2 diabetic patients from outpatient medical settings, 89.6% passed the MMSE at 24 out of 30 (mean MMSE = 26.1 [3.1]), but 59.7% failed the EXIT25 (25).

The prevalence of ECF impairment in community samples has not been well studied, but is also likely to be very common. Elderly independent-living community residents (25.5% of N =1145) showed impairment on a brief ECF-screening instrument, the Behavioral Dyscontrol Scale (BDS) (26)(27). Half of these had normal MMSE scores. The BDS was a stronger predictor of impaired functional status than the MMSE. Axelrod and coworkers (28) reported that each 1-point decline in MMSE scores among community-dwelling elderly persons represents a statistically significant increase in ECF impairment. These observations suggest that case definitions of "minimal cognitive impairment" derived from MMSE scores (or similar global cognitive screening measures) will consistently underestimate the severity of ECF impairment and its effects on functional status.

Moreover, these studies' observations of ECF impairment in the absence of an abnormal MMSE score may have diagnostic significance (11). We have advocated the utility of routinely making the distinction between dementias that present with (type 1) and without (type 2) posterior cortical features (6). The MMSE is essentially a proxy for the posterior cortical features of AD. This suggests that an ECF-impaired subject who passes the MMSE has a pattern of cognitive deficits more consistent with a type 2 dementia than "early" type 1 disease (11)(29).

Although it is widely presumed that age-associated cognitive impairments overlap seamlessly with cortical (type 1) dementia, old age is most closely associated with a type 2 pattern of isolated ECF deficits (6). As the brain ages, frontal neuronal systems suffer disproportionate atrophy (30), hypometabolism (31), and structural pathology (30). Even healthy elderly without evidence of either AD or ischemic vascular disease are affected (19)(32)(33)(34)(35). Longitudinal follow-up or pathology of our FHS sample will ultimately resolve the question of whether the large number of cases with ECF impairment at baseline have "preclinical" AD or some other condition.

We would also like to draw attention to the apparent dissociation between the individual CLOX subtests and functional status measures. CLOX1 was significantly associated with level of care, but not IADLs. In contrast, CLOX2 was significantly associated only with IADLs. This is unexpected because the EXIT25 was a significant independent predictor of both functional indicators. Why should a constructional clock-drawing task be specifically associated with IADLs?

It may be significant that IADLs were often elicited here as a self-reported measure of disability. In AD, poor performance on constructional tasks has been associated with right temporoparietal changes by functional neuroimaging (36)(37)(38)(39). Similar changes can be detected in preclinical subjects at familial and genetic risk for AD (40). However, as we discussed above, visuospatial tasks can themselves be conceptualized in terms of both an executive component (measured by CLOX1) and a constructive component (measured by CLOX2).

Anosognosia (the loss of insight) may depend on networks involving both elements (41)(42). Insight is impaired among patients with either focal frontal (43)(44)(45) or right parietal brain dysfunction (43)(44)(46). In AD, tests of ECF and visuospatial function (including clock drawing) are statistically associated with the unawareness of memory loss (46)(47) and erroneous self-reported IADL status (relative to caregiver ratings) (48).

Subjects who fail both CLOX2 and ECF measures may be at special risk of invalid self-report, regardless of their overall level of dementia. In contrast, CLOX2 did not have a statistically significant effect on the more objective "level of care." Only ECF measures (the EXIT25 and CLOX1) were significant independent predictors of this domain.

In summary, ECF impairment has statistically significant effects on level of care, IADL impairment, and the use of prosthetic devices. This effect can be observed even among noninstitutionalized retirees with normal performance on general cognitive measures. Moreover, it can be elicited with relatively simple measures that could easily be employed in a wide variety of clinical settings. In particular, the CLOX may provide both an ECF assessment that is significantly associated with level of care (CLOX1) and a nonexecutive assessment (CLOX2) that may be related to a subject's capacity to give an adequate self-report. Alternatively, the failure to employ ECF measures could delay evaluation and treatment for cognitive impairment or lead to the diversion of health care resources towards less significant correlates of functional decline. This study examines the association between ECF measures and functional status in nondemented elderly subjects. Longitudinal follow-up will be needed to determine if performance on ECF measures can distinguish subgroups among the community-dwelling elderly population at risk for future progression to frank dementia and/or disability.


    Acknowledgments
 
An abstract of this work has been presented at the 1999 Annual Scientific Meeting of The Gerontological Society of America. The authors wish to acknowledge the cooperation and support they received from the Air Force Villages.

Received August 20, 1999

Accepted December 23, 1999


    References
 Top
 Abstract
 Subjects
 Material and Procedures
 Results
 Discussion
 References
 

  1. American Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Press; 1994.
  2. Royall DR, Mahurin RK, 1996. Neuroanatomy, measurement, and clinical significance of the executive cognitive functions. Dickstein LJ, Oldham JM, Riba MB, , ed.Review of Psychiatry 175-204. American Psychiatric Press, Washington, DC.
  3. Channon S, 1996. Executive dysfunction in depression: the Wisconsin Card Sorting Test. J Affect Disord 39:107-114. [Medline]
  4. Cummings JL, 1993. Frontal-subcortical circuits and human behavior. Arch Neurol. 50:873-880. [Medline]
  5. Foong J, Rozewicz L, Quaghebeur G, Davie CA, Kartsounis LD, Thompson AJ, 1997. Executive function in multiple sclerosis: the role of the frontal lobe. Brain. 120:15-26. [Abstract/Free Full Text]
  6. Royall DR, Polk M, 1998. Dementias that present with and without posterior cortical features: an important clinical distinction. J Am Geriatr Soc. 46:98-105. [Medline]
  7. Royall DR, Mahurin RK, Gray KF, 1992. Bedside assessment of executive cognitive impairment: the Executive Interview. J Am Geriatr Soc. 40:1221-1226. [Medline]
  8. Royall DR, Mahurin RK, True J, et al. 1993. Executive impairment among the functionally dependent: comparisons between schizophrenic and elderly subjects. Am J Psychiatry. 150:1813-1819. [Abstract/Free Full Text]
  9. Royall DR. Executive cognitive impairment: a novel perspective on dementia [editorial]. Neuroepidemiol. In press.
  10. Reisberg B, Schneider L, Doody R, et al. 1997. Clinical global measures of dementia. Alzheimer's Disease and Associated Disorders. 11: (suppl 3) 8-18.
  11. Royall DR, 1997[letter]. The use of the Mini-Mental Status Examination to categorize dementia. Nurs Home Med. 5:11A-13A.
  12. Fogel BS, Brock D, Goldscheider F, Royall Dr, 1994[public policy issue paper]. Cognitive Dysfunction and the Need for Long-term Care: Implications for Public Policy American Association of Retired Persons (AARP);, Washington, DC.
  13. Royall DR, Cabello M, Polk MJ, 1998. Executive dyscontrol: an important factor affecting the level of care received by elderly retirees. J Am Geriatr Soc 46:1519-1524. [Medline]
  14. Folstein MF, Folstein SE, McHugh PR, 1975. Mini-Mental State: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 12:189-198. [Medline]
  15. Royall DR, 1998. Prevalence of executive control function (ECF) impairment among healthy non-institutionalized retirees: the Freedom House Study. Gerontologist. 38: (suppl) 314-315.
  16. Othmer E, Othmer SC, 1994;451–472. The Clinical Interview Using DSM-IV. Vol. 2: The Difficult Patient American Psychiatric Press;, Washington, DC.
  17. Jobe T, Blend M, Sychra J, Quing-Lin K, Gaviria M, Dujovny M. The Executive Interview (EXIT) and cerebral perfusion SPECT imaging in the assessment of the frontal lobes. Presented at the annual meeting of the American Psychiatric Association; May 7, 1996; New York, NY.
  18. Royall DR, Cordes JA, Polk M, 1998. CLOX: an executive clock drawing task. J Neurol Neurosurg Psychiatry. 64:588-594. [Abstract/Free Full Text]
  19. Royall DR, Chiodo LK, Polk MJ, 1997. Bedside measures as proxies for Wisconsin Card Sort performance in old age. J Neuropsychiatry Clin Neurosci. 9:684-685.
  20. Tombaugh TN, McIntyre NJ, 1992. The Mini-Mental State Examination: a comprehensive review. J Am Geriatr Soc 40:922-935. [Medline]
  21. Folstein M, 1998. Mini-mental and son. Int J Geriatr Psychiatry. 13:285-294. [Medline]
  22. Fillenbaum GG, 1978. Validity and reliability of the Multidimensional Functional Assessment questionnaire. Fillenbaum GG, , ed.The OARS Methodology Duke University, Duke University Center for the Study of Aging and Human Development. Durham, NC.
  23. Grace AN, Baker PS, Allman, RM. Neurocognitive correlates of life-space. Abstract presented at the annual meeting of the American Geriatrics Society; May 23, 1999; Philadelphia, PA. Proceedings, p. 95.
  24. Royall DR, Mulroy A, Chiodo LK, Polk MJ, 1999. Clock drawing is sensitive to executive control: a comparison of six methods. J Gerontol Psych Sci. 54B:P328-P333. [Abstract]
  25. Royall DR, 1999. Prevalence and severity of executive cognitive impairment among diabetic outpatients. J Neuropsychiatry Clin Neurosci. 11:147
  26. Grigsby J, Kaye K, Robbins LJ, Korzun B, 1990. Prediction of independent functioning and behavior problems in geriatric patients. J Am Geriatr Soc 38:1304-1310. [Medline]
  27. Grigsby J, Kaye K, Baxter J, Shetterly SM, Hamman RF, 1998. Executive cognitive abilities and functional status among community-dwelling older persons in the San Luis Valley Health and Aging Study. J Am Geriatr Soc 46:590-596. [Medline]
  28. Axelrod BN, Goldman RS, Henry RR, 1992. Sensitivity of the Mini-Mental State Examination to frontal lobe dysfunction in normal aging. J Clin Psychol. 48:68-71. [Medline]
  29. Royall DR, Cordes JA, Polk MJ. Assessing heterogeneity in dementia groups. In: Proceedings of the 1998 Annual Meeting of the American Geriatrics Society and the American Federation for Aging Research. New York: American Geriatrics Society; 1999:159.
  30. Coffey CE, Wilkinson WE, Parashos IA, et al. 1992. Quantitative cerebral anatomy of the aging human brain: a cross-sectional study using magnetic resonance imaging. Neurology. 42:527-536. [Abstract/Free Full Text]
  31. Kuhl DE, 1984. The effects of normal aging on patterns of local cerebral glucose utilization. Ann Neurol 15:S133-S137.
  32. Rinn WE, 1988. Mental decline in normal aging: a review. J Geriatr Psychiatry Neurol 1:144-158.
  33. Boone KB, Miller BL, Lesser IM, Hill E, D'Elia L, 1990. Performance on frontal lobe tests in healthy older individuals. Dev Neuropsychol. 6:215-223.
  34. Hinkin C, Cummings JL, Van Gorp WG, Satz P, Mitushina M, Freeman D, 1990. Frontal/subcortical features of normal aging: an empirical analysis. Can J Aging. 9:104-111.
  35. Van Gorp WG, Mahler ME, 1990. Subcortical features of normal aging. Cummings JL, , ed.Subcortical Dementia Oxford University Press, Oxford, UK.
  36. Foster NL, Chase TN, Fedio P, Patronas NJ, Brooks RA, Di Chiro G, 1983. Alzheimer's disease: focal cortical changes shown by positron emission tomography. Neurology. 33:961-965. [Abstract/Free Full Text]
  37. Martin A, Brouwers P, LaLonde F, et al. 1986. Towards a behavioral typology of Alzheimer's patients. J Clin Exp Neuropsychol. 8:594-610. [Medline]
  38. Chase TN, Foster NL, Fedio P, Brooks R, Mansi L, Di Chiro G, 1984. Regional cortical dysfunction in Alzheimer's disease as determined by positron emission tomography. Ann Neurol 15:170-174.
  39. Koss E, Friedland RP, Ober BA, Jagust WJ, 1985. Differences in lateral hemispheric asymmetries of glucose utilization between early- and late-onset Alzheimer's type dementia. Am J Psychiatry 142:638-640. [Abstract/Free Full Text]
  40. Small GW, Mazziotta JC, Collins MT, et al. 1995. Apolipoprotein E type 4 allele and cerebral glucose metabolism in relatives at risk for familial Alzheimer disease. JAMA. 273:942-947. [Abstract]
  41. Bear DM, 1983. Hemispheric specialization and the neurology of emotion. Arch Neurol. 40:195-202. [Medline]
  42. McGlynn SM, Schacter DL, 1989. Unawareness of deficits in neuropsychological syndromes. J Clin Exp Neuropsychol 11:143-205. [Medline]
  43. Mangone CA, Hier DB, Gorelick PB, et al. 1991. Impaired insight in Alzheimer's disease. J Geriatr Psychiatry Neurol 4:189-193.
  44. Reed BR, Jagust WJ, Coulter L, 1993. Anosognosia in Alzheimer's disease: relationship to depression, cognitive function, and cerebral perfusion. J Clin Exp Neuropsychol. 5:231-244.
  45. Lopez OL, Becker JT, Somsak D, Dew MA, DeKosky ST, 1994. Awareness of cognitive deficits and anosognosia in probable Alzheimer's disease. Eur Neurol 34:277-282. [Medline]
  46. Auchus AP, Goldstein FC, Green J, Green RC, 1994. Unawareness of cognitive impairments in Alzheimer's disease. Neuropsychiatry, Neuropsychol Behav Neurol 7:25-29.
  47. Michon A, Deweer B, Pillon B, Agid Y, Dubois B, 1992. Anosognosia and frontal dysfunction in SDAT. Neurology. 42: (suppl 3) 221
  48. Ott BR, LaFleche G, Whelihan WM, Buongiorno GW, Albert MS, Fogel BS, 1996. Impaired awareness of deficits in Alzheimer's disease. Alz Dis Assoc Disord. 2:68-76.



This article has been cited by other articles:


Home page
J. Gerontol. B Psychol. Sci. Soc. Sci.Home page
K. Insel, D. Morrow, B. Brewer, and A. Figueredo
Executive function, working memory, and medication adherence among older adults.
J. Gerontol. B. Psychol. Sci. Soc. Sci., March 1, 2006; 61(2): P102 - P107.
[Abstract] [Full Text] [PDF]


Home page
J. Gerontol. A Biol. Sci. Med. Sci.Home page
D. R. Royall, L. K. Chiodo, and M. J. Polk
An Empiric Approach to Level of Care Determinations: The Importance of Executive Measures
J. Gerontol. A Biol. Sci. Med. Sci., August 1, 2005; 60(8): 1059 - 1064.
[Abstract] [Full Text] [PDF]


Home page
J. Gerontol. A Biol. Sci. Med. Sci.Home page
L. L. Lavery, S. M. Starenchak, W. B. Flynn, M. A. Stoeff, R. Schaffner, and A. B. Newman
The Clock Drawing Test Is an Independent Predictor of Incident Use of 24-Hour Care in a Retirement Community
J. Gerontol. A Biol. Sci. Med. Sci., June 1, 2005; 60(7): 928 - 932.
[Abstract] [Full Text] [PDF]


Home page
J Aging HealthHome page
S. L. Maddigan, K. B. Farris, N. Keating, C. A. Wiens, and J. A. Johnson
Predictors of Older Adults' Capacity for Medication Management in a Self-Medication Program: A Retrospective Chart Review
J Aging Health, May 1, 2003; 15(2): 332 - 352.
[Abstract] [PDF]


Home page
AM J ALZHEIMERS DIS OTHER DEMENHome page
E. T. Wimberley, A. Herrera, B. Kidrowski, D. Brown, and L. L'Esperance
A cognitive and physical performance assessment of retirees entering a continuing care retirement community: The Moorings Assessment Protocol
American Journal of Alzheimer's Disease and Other Dementias, March 1, 2003; 18(2): 73 - 78.
[Abstract] [PDF]


Home page
J. Gerontol. A Biol. Sci. Med. Sci.Home page
C. S. Blaum, M. B. Ofstedal, and J. Liang
Low Cognitive Performance, Comorbid Disease, and Task-Specific Disability: Findings From a Nationally Representative Survey
J. Gerontol. A Biol. Sci. Med. Sci., August 1, 2002; 57(8): M523 - 531.
[Abstract] [Full Text] [PDF]


Home page
J. Gerontol. A Biol. Sci. Med. Sci.Home page
J. E. Morley and J. H. Flaherty
Editorial It's Never Too Late: Health Promotion and Illness Prevention in Older Persons
J. Gerontol. A Biol. Sci. Med. Sci., June 1, 2002; 57(6): M338 - 342.
[Full Text]


Home page
J. Gerontol. A Biol. Sci. Med. Sci.Home page
J. E. Morley
Editorial: Drugs, Aging, and the Future
J. Gerontol. A Biol. Sci. Med. Sci., January 1, 2002; 57(1): M2 - 6.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Royall, D. R.
Right arrow Articles by Polk, M. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Royall, D. R.
Right arrow Articles by Polk, M. J.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
All GSA journals The Gerontologist
Journals of Gerontology Series B: Psychological Sciences and Social Sciences