J Korean Med Sci.
2019 Mar;34(9):e67. 10.3346/jkms.2019.34.e67.
Validation of the Korean-Everyday Cognition (K-ECog)
- Affiliations
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- 1Department of Psychology, College of Social Sciences, Hallym University, Chuncheon, Korea. ykang@hallym.ac.kr
- 2Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, Korea.
- 3Department of Neurology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.
- 4Department of Psychology, College of Social Sciences, Sungkyunkwan University, Seoul, Korea.
- 5Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
- 6Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea.
- KMID: 2441912
- DOI: http://doi.org/10.3346/jkms.2019.34.e67
Abstract
- 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.
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