Author Identifier

Hamid R. Sohrabi

https://orcid.org/0000-0001-8017-8682

Craig P. Speelman

https://orcid.org/0000-0001-8629-174X

Ralph N. Martins

https://orcid.org/0000-0002-4828-9363

Document Type

Journal Article

Publication Title

Age and Ageing

Volume

53

Issue

7

PubMed ID

38972330

Publisher

Oxford Academic

School

School of Medical and Health Sciences / School of Arts and Humanities

Funders

National Health and Medical Research Council

Dementia Australia Research Foundation

McCusker Charitable Foundation

Alzheimer’s Research Australia

Hollywood Private Hospital

Charlies Foundation Western Australia

Grant Number

NHMRC Numbers : 324100, G1001512-2014

Comments

Sohrabi, H. R., Gavett, B. E., Weinborn, M., Speelman, C. P., Bucks, R. S., & Martins, R. N. (2024). The McCusker subjective cognitive impairment inventory (McSCI): A novel measure of perceived cognitive decline. Age and Ageing, 53(7), afae138. https://doi.org/10.1093/ageing/afae138

Abstract

Background: Subjective cognitive decline (SCD), i.e. self/other-reported concerns on one’s cognitive functioning without objective evidence of significant decline, is an indicator of dementia risk. There is little consensus on reliability and validity of the available SCD measures. Therefore, introducing a novel and psychometrically sound measure of SCD is timely. Objective: The psychometric properties of a new SCD measure, the McCusker Subjective Cognitive Impairment Inventory–Self-Report (McSCI-S), are reported. Methods: Through review of previously published measures as well as our clinical and research data on people with SCD, we developed a 46-item self-report questionnaire to assess concerns on six cognitive domains, namely, memory, language, orientation, attention and concentration, visuoconstruction abilities and executive function. The McSCI-S was examined in a cohort of 526 participants using factor analysis, item response theory analysis and receiver operating characteristic (ROC) curve. Results: A unidimensional model provided acceptable fit (CFI = 0.94, TLI = 0.94, RMSEA [90% CI] = 0.052 [.049, 0.055], WRMR = 1.45). The McSCI-S internal consistency was excellent (.96). A cut-off score of ≥24 is proposed to identify participants with SCDs. Higher McSCI-S scores were associated with poorer general cognition, episodic verbal memory, executive function and greater memory complaints and depressive scores (P <.001), controlling for age, sex and education. Conclusions: Excellent reliability and construct validity suggest the McSCI-S estimates SCDs with acceptable accuracy while capturing self-reported concerns for various cognitive domains. The psychometric analysis indicated that this measure can be used in cohort studies as well as on individual, clinical settings to assess SCDs.

DOI

10.1093/ageing/afae138

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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