ArticleArchives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists2019
Detection of Mild Cognitive Impairment Among Community-Dwelling African Americans Using the Montreal Cognitive Assessment.
Article in Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Meta-analysis of Montreal cognitive assessment diagnostic accuracy in amnestic mild cognitive impairment.Frontiers in psychology · 2024Pooled it
- Improvements in Cognitive Performance With Computerized Training in Older People With and Without Cognitive Impairment: Synergistic Effects of Skills-Focused and Cognitive-Focused Strategies.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2022Trial
- Neighborhood disadvantage and subjective cognitive function among older Black women.Psychology and aging · 2025Article
- The influence of socioeconomic factors and apolipoprotein ε genotype on cognitive outcomes in a multi-ethnic sample living with HCV and HIV.International journal of STD & AIDS · 2025Article
- Psychometric Reliability, Validity, and Generalizability of MoCA in American Indian Adults: The Strong Heart Study.Assessment · 2025Article
- Walking and Social Reminiscence in Gentrifying Neighborhoods: Feasibility and Impact on Cognitive, Physical, and Mental Health Among Older Black Adults in the SHARP Study.The Gerontologist · 2024Article
- The Montreal Cognitive Assessment: Norms and Reliable Change Indices for Standard and MoCA-22 Administrations.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024Article
- Frequency and correlates of subjective cognitive complaints and objective cognitive screening results in African American adults following COVID-19 infection.Brain, behavior, & immunity - health · 2023Article
- Classification statistics of the Montreal Cognitive Assessment (MoCA): Are we interpreting the MoCA correctly?The Clinical neuropsychologist · 2023Article
- Comparing the gut microbiome of obese, African American, older adults with and without mild cognitive impairment.PloS one · 2023Article
- Conventional clock drawing tests have low to moderate reliability and validity for detecting subtle cognitive impairments in community-dwelling older adults.Frontiers in aging neuroscience · 2023Article
- Patterns of structure-function association in normal aging and in Alzheimer's disease: Screening for mild cognitive impairment and dementia with ML regression and classification models.Frontiers in aging neuroscience · 2022Article
- Montreal Cognitive Assessment: Seeking a Single Cutoff Score May Not Be Optimal.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Application of neuropsychological criteria to classify mild cognitive impairment in the active study.Neuropsychology · 2020Article
- Differentiating among stages of cognitive impairment in aging: Version 3 of the Uniform Data Set (UDS) neuropsychological test battery and MoCA index scores.Alzheimer's & dementia (New York, N. Y.) · 2020Article
- Subjective cognitive complaints in White and African American older adults: associations with demographic, mood, cognitive, and neuroimaging features.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognitionArticle
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo establish a cut score for the Montreal Cognitive Assessment (MoCA) that distinguishes mild cognitive impairment (MCI) from normal cognition (NC) in a community-based African American (AA) sample.
methodsA total of 135 AA participants, from a larger aging study, diagnosed MCI (n = 90) or NC (n = 45) via consensus diagnosis using clinical history, Clinical Dementia Rating score, and comprehensive neuropsychological testing. Logistic regression models utilized sex, education, age, and MoCA score to predict MCI versus NC. Receiver operating characteristic (ROC) curve analysis determined a cut score to distinguish MCI from NC based on optimal sensitivity, specificity, diagnostic accuracy, and greatest perpendicular distance above the identity line. ROC results were compared with previously published MoCA cut scores.
resultsThe MCI group was slightly older (MMCI = 64.76[5.87], MNC = 62.33[6.76]; p = .033) and less educated (MMCI = 13.07[2.37], MNC = 14.36[2.51]; p = .004) and had lower MoCA scores (MMCI=21.26[3.85], MNC = 25.47[2.13]; p < .001) than the NC group. Demographics were non-significant in regression models. The area under the curve (AUC) was significant (MoCA = .83, p < .01) and an optimal cut score of <24 maximized sensitivity (72%), specificity (84%), and provided 76% diagnostic accuracy. In comparison, the traditional cut score of <26 had higher sensitivity (84%), similar accuracy (76%), but much lower specificity (58%).
conclusionsThis study provides a MoCA cut score to help differentiate persons with MCI from NC in a community-dwelling AA sample. A cut score of <24 reduces the likelihood of misclassifying normal AA individuals as impaired than the traditional cut score. This study underscores the importance of culturally appropriate norms to optimize the utility of commonly used cognitive screening measures.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.