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Montefiore Einstein Robust Geriatric Normative Project (MERG...

Montefiore Einstein Robust Geriatric Normative Project (MERG...

최근 학술지에 게재된 연구에 따르면, 연구진은 관찰 연구를 통해 Standardized regression-based equations were derived from a subsample of MERGER participants (n = 320) using backward regression to predict Time 2 scores from Time 1 performance and relevant demogra 그 결과, Baseline performance was the strongest predictor of follow-up scores, with demographic factors adding measure-specific variance. SRB equations performed well in the validation sample. Exploratory clinical validation analyses indicated that decline was uncommon in cognitively unimpaired (CU) participants but more frequent in MCI and dementia, particularly on memory and executive tasks. Multiva 연구팀은 "MERGER SRB change formulas offer a practical, individualized method for tracking cognitive change in older adults. Incorporating multivariate base rates of decline further improves differentiation between normal aging, MCI, and dementia, supportin"라고 결론지었다. 이번 연구의 의의는 해당 분야에 새로운 통찰을 제공했다. 다만 연구진은 장기적 효과는 추가 연구가 필요하다고 밝혔다.