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[P3–285]: PRE‐MILD COGNITIVE IMPAIRMENT: CAN MEMORY PREDICT WHO RAPIDLY CONVERTS TO MILD COGNITIVE IMPAIRMENT?
Author(s) -
Seo Eun Hyun,
Kim Hoowon,
Choi Kyu Yeong,
Lee JiEun,
Lee Kun Ho,
Choo IL Han
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.06.1499
Subject(s) - neuropsychology , logistic regression , cognitive impairment , audiology , psychology , cognition , neuropsychological assessment , medicine , univariate , psychiatry , multivariate statistics , statistics , mathematics
-2 standard deviation) for cognitive impairment ranged from <23 to <26 depending on age group and education level. Significant predictors for MoCA score were age, sex and level of education. Conclusions: We present detailed normative MoCA data and cut-offs according to the DSM-5 criteria for cognitive impairment based on a large population-based cohort of elderly individuals, screened and thoroughly investigated to rule out cognitive impairment. Level of education, sex and age should be taken in account when evaluating MoCA score, which is facilitated by our online regression-based calculator that provide percentile and z-score for a subject’s MoCA score.