التفاصيل البيبلوغرافية
| العنوان: |
Robust demographically-adjusted normative data for the Montreal Cognitive Assessment (MoCA): Results from the systolic blood pressure intervention trial. |
| المؤلفون: |
Sachs, Bonnie C., Chelune, Gordon J., Rapp, Stephen R., Couto, Ashley M., Willard, James J., Williamson, Jeff D., Sink, Kaycee M., Coker, Laura H., Gaussoin, Sarah A., Gure, Tanya R., Lerner, Alan J., Nichols, Linda O., Still, Carolyn H., Wadley, Virginia G., Pajewski, Nicholas M. |
| المصدر: |
Clinical Neuropsychologist; Nov2022, Vol. 36 Issue 8, p2237-2259, 23p |
| مصطلحات موضوعية: |
MONTREAL Cognitive Assessment, SYSTOLIC blood pressure, REFERENCE values, OLDER people, RACE |
| مستخلص: |
To generate robust, demographically-adjusted regression-based norms for the Montreal Cognitive Assessment (MoCA) using a large sample of diverse older US adults. Baseline MoCA scores were examined for participants in the Systolic Blood Pressure Intervention Trial (SPRINT). A robust, cognitively-normal sample was drawn from individuals not subsequently adjudicated with cognitive impairment through 4 years of follow-up. Multivariable Beta-Binomial regression was used to model the association of demographic variables with MoCA performance and to create demographically-stratified normative tables. Participants' (N = 5,338) mean age was 66.9 ± 8.8 years, with 35.7% female, 63.1% White, 27.4% Black, 9.5% Hispanic, and 44.5% with a college or graduate education. A large proportion scored below published MoCA cutoffs: 61.4% scored below 26 and 29.2% scored below 23. A disproportionate number falling below these cutoffs were Black, Hispanic, did not graduate from college, or were ≥75 years of age. Multivariable modeling identified education, race/ethnicity, age, and sex as significant predictors of MoCA scores (p<.001), with the best fitting model explaining 24.4% of the variance. Model-based predictions of median MoCA scores were generally 1 to 2 points lower for Black and Hispanic participants across combinations of age, sex, and education. Demographically-stratified norm-tables based on regression modeling are provided to facilitate clinical use, along with our raw data. By using regression-based strategies that more fully account for demographic variables, we provide robust, demographically-adjusted metrics to improve cognitive screening with the MoCA in diverse older adults. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
