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The Loss of Independence in Activities of Daily Living: the Role of Low Normal Cognitive Function in Elderly Nuns

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Specialty Public Health
Date 1996 Jan 1
PMID 8561244
Citations 39
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Abstract

Objectives: This study investigated the role of low normal cognitive function in the subsequent loss of independence in activities of daily living.

Methods: Of the 678 elderly nuns who-completed cognitive and physical function assessments in 1992/93, 575 were reassessed in 1993/94. Mini-Mental State Examination scores were divided into three categories and related to loss of independence in six activities of daily living.

Results: Participants with low normal cognitive function at first assessment had twice the risk of losing independence in three activities of daily living by second assessment relative to those with high normal cognitive function. This relationship was largely due to a progression from low normal cognitive function at first assessment to impaired cognitive function at second assessment and was associated with an elevated risk of losing independence in the six activities.

Conclusions: Progression from low normal to impaired cognitive function was associated with loss of independence in activities of daily living. Thus low normal cognitive function could be viewed as an early warning of impending cognitive impairment and loss of physical function.

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References
1.
Blessed G, Tomlinson B, Roth M . The association between quantitative measures of dementia and of senile change in the cerebral grey matter of elderly subjects. Br J Psychiatry. 1968; 114(512):797-811. DOI: 10.1192/bjp.114.512.797. View

2.
POTVIN A, Tourtellotte W, DAILEY J, Alberts J, Walker J, Pew R . Simulated activities of daily living examination. Arch Phys Med Rehabil. 1972; 53(10):476-86 passim. View

3.
Folstein M, Folstein S, McHugh P . "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975; 12(3):189-98. DOI: 10.1016/0022-3956(75)90026-6. View

4.
Kruiansky J, Gurland B . The performance test of activities of daily living. Int J Aging Hum Dev. 1976; 7(4):343-52. DOI: 10.2190/x45l-tww7-wxxy-ka6k. View

5.
PALMORE E, Nowlin J, Wang H . Predictors of function among the old-old: a 10-year follow-up. J Gerontol. 1985; 40(2):244-50. DOI: 10.1093/geronj/40.2.244. View