scholarly journals Informant Reporting in Mild Cognitive Impairment: Sources of Discrepancy on the Functional Activities Questionnaire

2020 ◽  
Vol 26 (5) ◽  
pp. 503-514 ◽  
Author(s):  
Katherine Hackett ◽  
Rachel Mis ◽  
Deborah A.G. Drabick ◽  
Tania Giovannetti
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Outcome Measurement ◽  
Everyday Functioning ◽  
Data Set ◽  
Black African ◽  
Functional Activities ◽  
Visit Frequency ◽  
Post Hoc ◽  
Racial Ethnic

AbstractObjective:Relative to dementia, little is known about informant bias in mild cognitive impairment (MCI). We investigated the influence of informant demographic and relational characteristics on reports of everyday functioning using the Functional Activities Questionnaire (FAQ).Method:Four thousand two hundred eighty-four MCI participants and their informants from the National Alzheimer’s Coordinating Center Uniform Data Set were included. Informants were stratified according to cohabitation, relationship, visit frequency, race/ethnicity, education, and sex. Informant-rated Mean FAQ score was compared across these groups using univariate general linear model analyses and post hoc tests. Interactions were tested between informant variables. The predictive contribution of informant variables to FAQ score was explored using hierarchical linear regression. Analyses covaried for participant cognition using a cognitive composite score, and for participant age, sex, and depression.Results:After controlling for participant cognition, depression, age, and sex, informant-rated FAQ scores varied significantly across all informant variables (p’s < .005, ηp2’s ≤ .033) except sex and visit frequency. FAQ scores were higher (more impaired) among informants who cohabitate with the participant, among paid caregivers, spouses, and adult children, and among informants with higher levels of education. Scores were lowest (less impaired) among Black/African American informants as compared to all other racial/ethnic groups.Conclusions:Demographic and relational characteristics of informants influence the perception and reporting of instrumental activities of daily living in adults with MCI. As everyday functioning is crucial for differential diagnosis and treatment outcome measurement, it is important to be aware of sources of informant report discrepancies.

scholarly journals Utility of the Functional Activities Questionnaire for Distinguishing Mild Cognitive Impairment From Very Mild Alzheimer Disease

2010 ◽  
Vol 24 (4) ◽  
pp. 348-353 ◽  
Author(s):  
Edmond Teng ◽  
Brian W. Becker ◽  
Ellen Woo ◽  
David S. Knopman ◽  
Jeffrey L. Cummings ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Alzheimer Disease ◽  
Functional Activities

scholarly journals Longitudinal Declines in Instrumental Activities of Daily Living in Stable and Progressive Mild Cognitive Impairment

2014 ◽  
Vol 39 (1-2) ◽  
pp. 12-24 ◽  
Author(s):  
Julia J. Hsiao ◽  
Po H. Lu ◽  
Joshua D. Grill ◽  
Edmond Teng
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Activities Of Daily Living ◽  
Disease Progression ◽  
Daily Living ◽  
Cross Sectional ◽  
Functional Deficits ◽  
Functional Activities ◽  
Instrumental Activities ◽  
Cross Sectional Studies

Background: Previous cross-sectional studies suggest that assessments of instrumental activities of daily living (IADLs) may be useful for operationalizing the differences in functional deficits seen in mild cognitive impairment (MCI) and dementia. However, their utility for longitudinal changes in IADLs in the transition between MCI and dementia remains unclear. Methods: We analyzed longitudinal IADL data with the Functional Activities Questionnaire (FAQ) in stable (MCI-S; n = 1,318) or progressive (MCI-P; n = 1,108) MCI patients. Results: Larger increases in FAQ scores were seen in the MCI-P group across a 14.5-month interval, but overlapping distributions in the two groups yielded poorer discriminatory power than prior cross-sectional reports. Conclusion: Our findings emphasize the difficulties in operationalizing the criterion of ‘essentially intact' IADLs in MCI, which may complicate the interpretation of disease progression in MCI treatment trials. © 2014 S. Karger AG, Basel

Reducing misclassification of mild cognitive impairment based on base rate information from the uniform data set

2022 ◽  
pp. 1-20
Author(s):  
Tomas Nikolai ◽  
Filip Děchtěrenko ◽  
Beril Yaffe ◽  
Hana Georgi ◽  
Miloslav Kopecek ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Base Rate ◽  
Data Set ◽  
Rate Information

scholarly journals PREDICTORS OF INSOMNIA IN INDIVIDUALS WITH MILD COGNITIVE IMPAIRMENT

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S464-S464
Author(s):  
Meghan Mattos ◽  
Eric M Davis ◽  
Carol Manning
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Total Sample ◽  
Cross Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Data Set ◽  
Specialized Care ◽  
Using Data ◽  
Cognitive Problems

Abstract Insomnia is a common disorder that affects up to 40% of people age 65 and older. Untreated insomnia can decrease quality of life, increase healthcare use, and exacerbate cognitive problems. Individuals with cognitive impairment experience more sleep disorders than those without cognitive concerns, yet little is known about insomnia and mild cognitive impairment (MCI). Our objective was to examine predictors of insomnia in persons with MCI (PwMCI). Using data from the National Alzheimer’s Coordinating Center Uniform Data Set, a cross-sectional study of older PwMCI was conducted. Independent sample t-tests and contingency tables with chi-square tests of independence were used to examine differences between PwMCI with and without insomnia. Multivariate binary logistic modeling was performed. The total sample (N=1543) was comprised of 234 (15.1%) with clinician-reported insomnia and 1309 (84.9%) without insomnia. PwMCI and insomnia were more likely to be younger, take more medications, and smoke cigarettes (p.05). Three variables significantly predicted insomnia in PwMCI subjects in a multivariate model: active depression (OR 1.66, 95%CI 1.21, 2.27), active anxiety (OR 2.16, 95%CI 1.57, 2.99) and arthritis (OR 1.78, 95%CI 1.33, 2.39). Differences in predictors of insomnia in PwMCI highlight the need for geriatric and mental health specialists to provide specialized care to this population. Future studies should examine conversion of PwMCI with insomnia to dementia and the compounding effects of insomnia on cognition.

scholarly journals Mild cognitive impairment (MCI) twenty years on

2011 ◽  
Vol 24 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Karen Ritchie ◽  
Craig W Ritchie
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Brain Aging ◽  
Cognitive Change ◽  
Cognitive Disorder ◽  
Everyday Functioning ◽  
Normal Limits ◽  
Age Related ◽  
The Usa

Cognitive decline has commonly been considered an inevitable result of brain aging and has been of clinical interest principally because of related difficulties with everyday functioning. Since the 1990s the “normality” of age-related cognitive decline has been called into question, being commonly attributed to a number of underlying disorders. Numerous concepts have been proposed which link subclinical cognitive change to pathological states (mild cognitive disorder, mild neurocognitive disorder, mild cognitive impairment). Of these, mild cognitive impairment (MCI) has become the most popular, driven on the one hand by industrial interests seeking to extend new dementia treatments for a more prevalent subclinical syndrome, and on the other by researchers attempting to identify at-risk populations. MCI has been both criticized for “medicalizing” behavior still within normal limits (Stephan et al., 2008; Moreira et al., 2008) and welcomed in that it suggests cognitive decline with aging may not be inevitable, but rather due to abnormalities which could ultimately be treated. Recently, in both Europe (DuBois et al., 2007) and the USA (Albert et al., 2011), panels of experts have scrutinized the concept of MCI and more broadly the pre-dementia stages of neurodegenerative diseases and offered new research diagnostic criteria. These proposed criteria have highlighted the (potential) value of biomarkers in assisting diagnosis, although some have considered the elevation of biomarkers to this level of importance in diagnosing disease before dementia develops to be premature given both the extent and quality of diagnostic biomarker data currently available (McShane et al., 2011a; 2011b).

scholarly journals Comparing measures of decline to dementia in amnestic MCI subjects in the National Alzheimer's Coordinating Center (NACC) Uniform Data Set

2012 ◽  
Vol 24 (10) ◽  
pp. 1553-1560 ◽  
Author(s):  
Sarah E. Monsell ◽  
Danping Liu ◽  
Sandra Weintraub ◽  
Walter A. Kukull
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Neuropsychological Tests ◽  
Mini Mental State Examination ◽  
Clinical Dementia Rating ◽  
Data Set ◽  
Global Test ◽  
Allele Status ◽  
Rate Of Decline ◽  
State Examination

ABSTRACTBackground: Many studies have investigated factors associated with the rate of decline and evolution from mild cognitive impairment (MCI) to Alzheimer's disease (AD) dementia in elderly patients. In this analysis, we compared the rates of decline to dementia estimated from three common global measures of cognition: Mini-Mental State Examination (MMSE) score, Clinical Dementia Rating sum of boxes (CDR-SB) score, and a neuropsychological tests composite score (CS).Methods: A total of 2,899 subjects in the National Alzheimer's Coordinating Center Uniform Data Set aged 65+ years diagnosed with amnestic mild cognitive impairment (aMCI) were included in this analysis. Population-averaged decline to dementia rates was estimated and compared for standardized MMSE, CDR-SB, and CS using Generalized Estimating Equations (GEE). Associations between rate of decline and several potential correlates of decline were also calculated and compared across measures.Results: The CDR-SB had the steepest estimated slope, with a decline of 0.49 standard deviations (SD) per year, followed by the MMSE with 0.22 SD per year, and finally the CS with 0.07 SD per year. The rate of decline of the three measures differed significantly in a global test for differences (p < 0.0001). Age at visit, body mass index (BMI) at visit, Apolipoprotein E (APOE) ɛ4 allele status, and race (black vs. white) had significantly different relationships with rate of decline in a global test for difference among the three measures.Conclusions: These results suggest that both the rate of decline and the effects of AD risk factors on decline to dementia can vary depending on the evaluative measure used.

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