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Validation of the Korean-Everyday Cognition (K-ECog)

BACKGROUND: In the early diagnosis of dementia, an important factor is the evaluation of activities of daily living. The Everyday Cognition (ECog) scale was developed to measure functional changes that are the everyday correlates of specific neuropsychological impairments. This study aimed to examin...

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Detalles Bibliográficos
Autores principales: Song, Minji, Lee, Sun Hwa, Jahng, Seungmin, Kim, Seong Yoon, Kang, Yeonwook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406041/
https://www.ncbi.nlm.nih.gov/pubmed/30863265
http://dx.doi.org/10.3346/jkms.2019.34.e67
Descripción
Sumario:BACKGROUND: In the early diagnosis of dementia, an important factor is the evaluation of activities of daily living. The Everyday Cognition (ECog) scale was developed to measure functional changes that are the everyday correlates of specific neuropsychological impairments. This study aimed to examine the validity of the Korean version of Everyday Cognition (K-ECog). METHODS: The participants were 268 cognitively normal older adults (NA), 151 amnestic mild cognitive impairment (aMCI), and 77 dementia of the Alzheimer's type (DAT). The Korean-Mini Mental State Examination (K-MMSE), Korean-Montreal Cognitive Assessment (K-MoCA), and Short form of the Geriatric Depression Scale (SGDS) were administered to all the participants. The K-ECog and Korean-Instrumental Activities of Daily Living (K-IADL) were rated by their informants. RESULTS: Internal consistency (Cronbach's α) of K-ECog global function was 0.93, and its test-retest reliability (Pearson's r) was 0.73. K-ECog was significantly correlated with K-IADL (0.66), K-MMSE (−0.38), and K-MoCA (−0.26). Confirmatory factor analysis of K-ECog yielded seven factor model that the original ECog proposed. K-ECog global score and six domain scores were significantly different across the NA, aMCI, and DAT groups. Receiver operating characteristic curve analyses showed that K-ECog effectively differentiated aMCI and DAT patients from NA, suggesting that K-ECog is as sensitive for detecting functional impairments as K-IADL. The proposed optimal cut-off score to differentiate aMCI from NA was 1.41. CONCLUSION: K-ECog is proven reliable and valid for clinical use. K-ECog can be used to distinguish very early stages of impaired ADL and cognitive impairment in the community.