School of Medicine Publications and Presentations
Document Type
Article
Publication Date
2007
Abstract
OBJECTIVE: To determine the prevalence of cognitive impairment in the elderly and its relation with sociodemographic and health factors in the Mexican population.
MATERIAL AND METHODS: From the first wave data of the National Aging and Health Study, collected in 2001 in Mexico, subjects 65 years or older and who had completed a cognitive assessment were selected. Subjects were classified according to two groups: with and without cognitive impairment, based on the cutoff point corresponding to the 10th percentile of the total cognitive assessment score, adjusted for age and educational level. All subjects with cognitive impairment that also had difficulty with one of the activities of daily living were classified as a third group: with cognitive impairment and functional dependency. Prevalence rates were calculated, and an association with demographic and health variables was established through regression analysis.
RESULTS: Seven percent of the population had cognitive impairment while 3.3% had both conditions. The probability of cognitive impairment was not significantly associated with any demographic or health variables. Cognitive impairment and functional dependency indicated an association with gender, age, marital status, diabetes, stroke, heart disease and depression.
CONCLUSIONS: The high prevalence of cognitive impairment and its relation with chronic disease frequently observed in the Mexican elderly suggest the need to increase early identification of both conditions in the population.
Recommended Citation
Mejía-Arango, S., Miguel-Jaimes, A., Villa, A., Ruiz-Arregui, L., & Gutiérrez-Robledo, L. M. (2007). Cognitive impairment and associated factors in older adults in Mexico. Salud publica de Mexico, 49(S4), 475-481. http://doi.org/10.1590/s0036-36342007001000006
Creative Commons License
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First Page
S475
Last Page
81
Publication Title
Salud publica de Mexico
DOI
10.1590/s0036-36342007001000006
Academic Level
faculty
Mentor/PI Department
Neuroscience
Comments
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