Measuring Subjective Cognitive Decline in Older Adults: Harmonization Between the Cognitive Change Index and the Measurement of Everyday Cognition Instruments
Year: 2022
Type: article
Abstract: BACKGROUND: Self and informant (proxy or study partner) reports of everyday cognitive functioning have been shown to be associated with incipient neurodegenerative disease. The 20-item Cognitive Change Index (CCI) and the 39-item Measurement of Everyday Cognition (ECog) were each developed to characterize early subjective changes in cognitive function. OBJECTIVE: We examined the relationship between CCI and ECog self and informant-based evaluations to determine content overlap and provide a co-calibration for converting between these widely used instruments. METHODS: 950 participants (57.1% female, mean age = 71.2 years) from ADNI and the Indiana ADRC with self-based evaluations and 279 participants (60.9% female, mean age = 71.8 years) with informant-based evaluations (Indiana ADRC) were included. Analyzed variables for the CCI and ECog included domain mean scores, memory domain total scores, and total scores for all items. Spearman correlations, regression analyses, and frequency distributions were used to assess the relationship between CCI and ECog. Sex, age, years of education, race/ethnicity, APOE ɛ4 carrier status, and baseline diagnosis were also analyzed as potentially relevant covariates. RESULTS: CCI and ECog total scores were highly correlated for the self (r = 0.795, p < 0.001) and informant-based (r = 0.840, p < 0.001) versions, as expected. Frequency distributions of self and informant total scores were generated and plotted separately. Quadratic regressions for self (r2 = 0.626) and informant (r2 = 0.741) scores were used to create a translation table between the CCI and ECog total scores. CONCLUSION: Self and informant total scores can be harmonized and translated between the CCI and ECog to facilitate cross-study and longitudinal assessment of perceived cognitive change, an important patient-reported outcome.
Source: Journal of Alzheimer s Disease
DOI: 10.3233/jad-215388
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: U.S. Department of Defense, Indiana Clinical and Translational Sciences Institute, Alzheimer's Disease Neuroimaging Initiative, National Institutes of Health, National Institute on Aging, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Center for Advancing Translational Sciences
Awards: G104586243, G1171648585, Indiana Alzheimer Disease Center, G1886977002, Interplay of androgens, microbiota and immunoregulation in lupus, G2189010064, G2423387114, G2619161350, Multi-Domain Sensory Measures as Biomarkers of Alzheimer's Disease in Preclinical and Prodromal Stages, G2835601961, G29951154, Sensory and Perceptual Measures as Biomarkers of Alzheimer's Disease Pathology, G3146424788, G3216574877, G3582805754, G3754633476, G4119534169, G4475667458, EFFECTS OF TRAUMATIC BRAIN INJURY (TBI) AND POST TRAUMATIC STRESS DISORDER (PTSD) ON ALZHEIMER'S DISEASE (AD) IN VETERANS USING IMAGING AND BIOMARKERS IN THE AD NEUROIMAGING INITIATIVE (ADNI)", Alzheimer's Disease Neuroimaging Initiative, G5850682332, G6092455194, Memory Circuitry in MCI and Early Alzheimerâs Disease Prodrome: Molecular Drivers, G764699806, Indiana Clinical and Translational Sciences Institute, G8895907669, G8917620750, G9000039018, G9000122335, Alzheimer's Disease Sequencing Project Phenotype Harmonization Consortium, Indiana Alzheimer's Disease Research Center, KBASE2: Korean Brain Aging Study, Longitudinal Endophenotypes and Systems Biology, National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD), Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
OpenAlex ID: W4225568617