To estimate the prevalence of mild cognitive impairment (MCI) and its subtypes, taking into account education and health status. This is the first report of our Study on Aging and Dementia in Mexico. This study included 2,944 elderly individuals 60 years old or more with in-home assessment for cognitive impairment. The prevalence of MCI was based on Petersen criteria. MCI was classified as amnestic of single domain (a-MCI-s) or multiple domain (a-MCI-md) or nonamnestic of single domain (na-MCI-s) or multiple domain (na-MCI-md). In addition to a battery of neuropsychological measures, a self-report depression measure and a medical history including history of stroke, heart disease and other health conditions were recorded. The global estimated prevalence of MCI in the Mexican population was 6.45%. Of these subjects, 2.41% met criteria for a-MCI-s, 2.56% for a-MCI-md, 1.18% for na-MCI-s and 0.30% for na-MCl-md. Women showed a higher prevalence of MCI than men (63.7 vs. 36.3%, respectively). The analysis showed that heart disease [odds ratio (OR) 1.5], stroke (OR 1.2) and depression (OR 2.1) were associated with an increased risk of MCI. The prevalence of MCI in Mexico is similar to that in other countries. The results suggest that stroke, heart disease and depression may have an important role in the etiology of MCI.

Background: Endothelial dysfunction and subsequent inflammation contribute to the development of vascular cognitive impairment (VCI). Soluble intercellular adhesion molecule-1 (sICAM-1) is upregulated in endothelial dysfunction and promotes an inflammatory response; however, the relationship between sICAM-1 and VCI remains equivocal. Objective: To determine whether sICAM-1 contributes to the prediction of VCI. Methods: Community-dwelling older adults (n = 172) from the “Cohort of Obesity, Sarcopenia and Frailty of Older Mexican Adults” (COSFOMA) study were identified as VCI or controls using standard neuropsychological evaluations and neuroimaging. sICAM-1 was quantified using ELISA, and multivariate logistic regression determined the association between sICAM-1 and VCI. Results: A total of 31 VCI cases were identified. sICAM-1 was higher in VCI (VCI: 450.7 [241.6] ng/mL vs. controls: 296.9 [140.9] ng/mL). sICAM-1 concentrations above the 90th percentile (464.1 ng/mL) were associated with VCI group membership in all models (OR: 6.9, 95% CI: 1.1–42.2). The final saturated model explained 64% of the variance in VCI group membership. Conclusion: High concentrations of sICAM-1 are independently associated with VCI group membership. Efforts to further characterize the relationship between indices of endothelial dysfunction and pathological changes to the aging brain should be further pursued.