Title | Executive and Language Subjective Cognitive Decline Complaints Discriminate Preclinical Alzheimer's Disease from Normal Aging. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Valech, N, Tort-Merino, A, Coll-Padrós, N, Olives, J, León, M, Rami, L, Molinuevo, JLuis |
Journal | J Alzheimers Dis |
Volume | 61 |
Issue | 2 |
Pagination | 689-703 |
Date Published | 2018 |
ISSN | 1875-8908 |
Keywords | Aged, Aging, Alzheimer Disease, Amyloid beta-Peptides, Cognitive Dysfunction, Executive Function, Factor Analysis, Statistical, Female, Humans, Language, Male, Middle Aged, Neuropsychological Tests, Self Report |
Abstract | BACKGROUND: There is a need to specify the profile of subjective cognitive decline in preclinical Alzheimer's disease (preAD). OBJECTIVES: To explore specific items of the Subjective Cognitive Decline Questionnaire (SCD-Q) that discriminate preAD from normal aging. METHODS: 68 cognitively normal older adults were classified as controls (n = 52) or preAD (n = 16) according to amyloid-β (Aβ) levels. An exploratory factor analysis and item analysis of the SCD-Q were performed. Informant reports of the SCD-Q were used to corroborate the findings of self-reports. One-year neuropsychological follow-up was available. RESULTS: Four SCD-Q factors were extracted: EM-factor (episodic memory), A-factor (attention), O-factor (organization), and L-factor (language). PreAD reported a significantly higher decline in L-factor (F(1) = 6.49; p = 0.014) and A-factor (F(1) = 4.04; p = 0.049) compared to controls, and showed a higher frequency of perceived decline in SCD-Q items related with language and executive tasks (Sig-items.) Significant discriminative powers for Aβ-positivity were found for L-factor (AUC = 0.75; p = 0.003) and A-factor (AUC = 0.74; p = 0.004). Informants in the preAD group confirmed significantly higher scores in L-factor and Sig-items. A significant time×group interaction was found in the Semantic Fluency and Stroop tests, with the preAD group showing a decrease in performance at one-year. CONCLUSIONS: Our results suggest that SCD-Q items related with language and executive decline may help in prediction algorithms to detect preAD. Validation in an independent population is needed. |
DOI | 10.3233/JAD-170627 |
Alternate Journal | J. Alzheimers Dis. |
PubMed ID | 29254090 |