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The McCusker Subjective Cognitive Impairment Inventory (McSCI): a novel measure of perceived cognitive decline.
Sohrabi, Hamid R; Gavett, Brandon E; Weinborn, Michael; Speelman, Craig P; Bucks, Romola S; Martins, Ralph N.
Afiliación
  • Sohrabi HR; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia.
  • Gavett BE; School of Psychology, Murdoch University, Building 440, 90 South Street, Murdoch, WA 6150, Australia.
  • Weinborn M; School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup WA 6027, Australia.
  • Speelman CP; Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, 75 Talavera Road, Macquarie Park, NSW 2109, Australia.
  • Bucks RS; School of Psychological Science, University of Western Australia, 35 Stirling Highway, Perth, Crawley WA 6009, Australia.
  • Martins RN; Department of Neurology, University of California, Davis, Sacramento, CA 95817, USA.
Age Ageing ; 53(7)2024 Jul 02.
Article en En | MEDLINE | ID: mdl-38972330
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Psicometría / Autoinforme / Disfunción Cognitiva Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Age Ageing Año: 2024 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Psicometría / Autoinforme / Disfunción Cognitiva Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Age Ageing Año: 2024 Tipo del documento: Article País de afiliación: Australia
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