Predicting daily functioning with the modified Telephone Interview for Cognitive Status.
Aging Clin Exp Res
; 34(6): 1267-1274, 2022 Jun.
Article
in English
| MEDLINE | ID: covidwho-1682298
ABSTRACT
BACKGROUND:
The modified Telephone Interview for Cognitive Status (mTICS) is a frequently used telephone-based cognitive screening measure that can distinguish between normal aging, mild cognitive impairment (MCI), and dementia. Although it has been used to predict current and future cognitive function in older adults, no studies have examined if the mTICS can predict daily functioning.AIMS:
The current study sought to examine the relationship between the mTICS and a performance-based measure of daily functioning.METHODS:
The mTICS and demographic information (age, sex, education) were collected during a telephone screening visit for 149 older adults (65-91 years in age) with amnestic MCI. Three subscales of the Independent Living Scales (ILS; Managing Money, Managing Home and Transportation, Health and Safety) were collected during a baseline visit and during a 16 month follow-up visit in a subsample of 93 individuals.RESULTS:
Using simple hierarchical regression, baseline mTICS total score combined with demographic variables significantly predicted 19-22% of baseline ILS subscale scores. Similarly, in a subsample of 93 participants with 16 month follow-up data, baseline mTICS and demographic information predicted 9-31% of ILS subscale scores at follow-up.CONCLUSIONS:
The mTICS appears able to predict daily functioning in older individuals with MCI. Remote tracking of cognition and daily functioning in this at-risk group seems particularly beneficial to geriatricians and other providers, especially during COVID-19.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Cognition Disorders
/
Cognitive Dysfunction
/
COVID-19
Type of study:
Cohort study
/
Diagnostic study
/
Prognostic study
Limits:
Aged
/
Humans
Language:
English
Journal:
Aging Clin Exp Res
Journal subject:
Geriatrics
Year:
2022
Document Type:
Article
Affiliation country:
S40520-022-02081-4
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