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The Mini‐Cog as a Screen for Dementia: Validation in a Population‐Based Sample

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2003

Year

TLDR

The study aimed to evaluate the Mini‑Cog as a brief cognitive screening tool for dementia in older Americans. Researchers conducted a population‑based post‑hoc analysis of 1,119 older adults from the Monongahela Valley Independent Elders Survey, comparing Mini‑Cog performance to the MMSE and a neuropsychological battery. The Mini‑Cog achieved sensitivity and specificity comparable to the MMSE and neuropsychological battery (≈76–79% sensitivity, 88–90% specificity) and proved as effective as longer instruments, offering a brief yet reliable screening option for diverse older populations.

Abstract

Objectives: To test the Mini‐Cog, a brief cognitive screening test, in an epidemiological study of dementia in older Americans. Design: A population‐based post hoc examination of the sensitivity and specificity of the Mini‐Cog for detecting dementia in an existing data set. Setting: The Monongahela Valley in Western Pennsylvania. Participants: A random sample of 1,119 older adults enrolled in the Monongahela Valley Independent Elders Survey (MoVIES). Measurements: The effectiveness of the Mini‐Cog in detecting independently diagnosed dementia was compared with that of the Mini‐Mental State Examination (MMSE) and a standardized neuropsychological battery. Results: The Mini‐Cog, scored by an algorithm as “possibly impaired” or “probably normal,” and the MMSE, at a cutpoint of 25, had similar sensitivity (76% vs 79%) and specificity (89% vs 88%) for dementia, comparable with that achieved using a conventional neuropsychological battery (75% sensitivity, 90% specificity). Conclusion: When applied post hoc to an existing population, the Mini‐Cog was as effective in detecting dementia as longer screening and assessment instruments. Its brevity is a distinct advantage when the goal is to improve identification of older adults in a population who may be cognitively impaired. Prior evidence of good performance in a multiethnic community‐based sample further supports its validity in the ethnolinguistically diverse populations of the United States in which widely used cognitive screens often fail.

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