Engaging in cognitive, social, and physical activities may prevent cognitive decline. In a sample of older African Americans with mild cognitive impairment (MCI; N=221), we investigated the cross-sectional relationships between activity levels and participants' demographic, clinical, and neuropsychological characteristics. The average age of participants was 75.4 years (SD, 7.0); 177 (80.1%) were women. Participation in cognitive/social activities was positively associated with education, depression, literacy, mobility, instrumental activities of daily living (IADL), verbal learning, and subcomponents of executive function. A linear regression identified IADLs, education, depression, and verbal learning as independent predictors. Participation in physical activities was positively associated with sex, depression, IADLs, and subcomponents of executive function. An ordinal regression identified executive function and depression as independent correlates. These data suggest that unique characteristics are associated with cognitive/social and physical activities in older African Americans with MCI. These characteristics, coupled with low activity levels, may increase the risk of progression from MCI to dementia. Culturally relevant behavioral interventions to reduce cognitive decline in this high-risk population are needed.
Recommended CitationRovner, MD, Barry W.; Casten, PhD, Robin J.; and Leiby, PhD, Benjamin E., "Determinants of Activity Levels in African Americans With Mild Cognitive Impairment." (2016). Department of Neurology Faculty Papers. Paper 97.
Table 1. Average Neuropsychological Test Scores of the Study Sample (n = 221)
Table 2. Demographic and Clinical Characteristics (N = 221).pdf (90 kB)
Table 2. Demographic and Clinical Characteristics (N = 221) by Cognitive/Social Activity Level (Florida Cognitive Activity Scale)
Table 3. Regression results Baseline Variables associated.pdf (65 kB)
Table 3. Regression results: Baseline Variables associated with Florida Cognitive Activity Scale Scores.
Table 4. Ordinal Regression Results Predicting Physical Activity Level (n = 221).pdf (85 kB)
Table 4. Ordinal Regression Results Predicting Physical Activity Level (n = 221)