Blood pressure and memory in older African Americans.

Department of Psychology and Neuroscience, Duke University, Durham, North Carolina 22708, USA.
Ethnicity & disease (Impact Factor: 0.92). 02/2008; 18(2):181-6.
Source: PubMed

ABSTRACT The rates of high blood pressure among African Americans, as a group, are the highest in the world. The implications for higher average blood pressure include complications for many major chronic conditions, such as cardiovascular disease and diabetes. Less well studied is the effect of blood pressure on the cognitive functioning of African Americans. The purpose of this study was to examine the effect of blood pressure on memory measures in a sample of adult African Americans. Analyses were conducted on a sample of 361 African American adults (mean age 61.50 years, standard deviation 9.39 years). We found significant correlations between systolic blood pressure and most cognitive measures but only for one of the measures and diastolic blood pressure. Regressions revealed significant effects for systolic blood pressure on Digit Symbol, Telephone Interview of Cognitive Status, and Immediate Recall on the Wechsler Logical Memory test. These findings suggest that blood pressure is a source of individual variability in cognitive aging among African Americans.


Available from: Alyssa A Gamaldo, Jun 08, 2015
  • [Show abstract] [Hide abstract]
    ABSTRACT: Despite high rates of poor health outcomes, little attention has been focused on associations between prominent health factors and cognitive function in African American men, exclusively. The objective was to examine relationships between cardiovascular and pulmonary health, and cognitive function in African American men.
    Journal of Aging and Health 07/2014; 27(2). DOI:10.1177/0898264314543474 · 1.56 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Previous research suggests that demographic factors are important correlates of cognitive functioning in African Americans; however, less attention has been given to the influence of personality. The present study explored how dimensions and facets of personality predicted individual variability in cognition in a sample of older African Americans from the Baltimore Study of Black Aging. Cognition was assessed by verbal learning and attention/working memory measures. Personality was measured by the NEO Personality Inventory. Linear regressions controlling for demographic factors showed that Neuroticism, Openness, and Agreeableness were significant regression predictors of cognitive performance. Individual facets of all five personality dimensions were also associated with cognitive performance. These findings suggest personality is important in understanding variability in cognition among older African Americans.
    Journal of Research in Personality 10/2012; 46(5):465-471. DOI:10.1016/j.jrp.2012.04.006 · 2.00 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: This study examines day-to-day variability in psychometrically defined mild cognitive impairment (MCI) status and potential predictors of changes in MCI status in an independent-living sample of urban dwelling older adults in Baltimore, Maryland. The participant sample consisted of 50 older adults, ranging in age from 50 to 80 years. Participants completed health and cognitive measures (i.e., executive function, language, memory, and global cognition) over 8 occasions within a 2-3-week period. After each testing occasion, a post hoc classification of MCI status was determined using psychometrically defined criteria based on cognitive performance. Participants who classified as MCI after one assessment often did not meet MCI criteria at subsequent occasions. Daily fluctuations in sleep duration were associated with an increased risk for MCI classification. These results demonstrate that changes in sleep may explain changes in MCI status, particularly for African Americans. (PsycINFO Database Record (c) 2012 APA, all rights reserved).
    Psychology and Aging 06/2012; 27(4). DOI:10.1037/a0028557 · 2.73 Impact Factor