The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
Prevalence of dementia and mild cognitive impairment in the Mexican population: evidence from Mex-Cog, a harmonized cognitive assessment protocol study.
СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Mejia-Arango Silvia, Arce Rentería Miguel, Saenz Joseph L, Wong Rebeca
Аннотация
OBJECTIVES: This study aimed to estimate the prevalence of dementia and mild cognitive impairment (MCI) in Mexico and establish sociodemographic, contextual, and health predictors leveraging the first wave of the Mexican Cognitive Aging Ancillary Study (Mex-Cog), a subsample of the Mexican Health and Aging Study.
METHODS: Data came from the 2016 wave of Mex-Cog. The analytic sample included 1,629 participants aged 60 and older who completed a comprehensive cognitive battery and informant questionnaire. We employed a robust normative approach to classify cognitive impairment and developed an algorithmic classification of MCI/dementia based on standard research criteria. Prevalence rates used nationally-representative sampling weights.
RESULTS: We estimated the prevalence of dementia at 6.7% [95% confidence interval (CI): 5.4-8.0] and MCI at 10% (95% CI: 8.7-11.7). Older age, lower education, living in rural areas, having a history of stroke, and heart attack were associated with higher odds of dementia. Mild cognitive impairment was associated with older age, female sex, lower education, rural residence, and lack of health insurance.
DISCUSSION: Leveraging the nationally-representative and comprehensive cognitive data in Mex-Cog, an algorithm-derived classification of dementia and MCI provided the prevalence of dementia and MCI in Mexico. Besides the association with cerebrovascular and cardiovascular disease, the effect of education, rural residence, and lack of health insurance suggests an unequal burden of MCI and dementia among the aging Mexican population.
METHODS: Data came from the 2016 wave of Mex-Cog. The analytic sample included 1,629 participants aged 60 and older who completed a comprehensive cognitive battery and informant questionnaire. We employed a robust normative approach to classify cognitive impairment and developed an algorithmic classification of MCI/dementia based on standard research criteria. Prevalence rates used nationally-representative sampling weights.
RESULTS: We estimated the prevalence of dementia at 6.7% [95% confidence interval (CI): 5.4-8.0] and MCI at 10% (95% CI: 8.7-11.7). Older age, lower education, living in rural areas, having a history of stroke, and heart attack were associated with higher odds of dementia. Mild cognitive impairment was associated with older age, female sex, lower education, rural residence, and lack of health insurance.
DISCUSSION: Leveraging the nationally-representative and comprehensive cognitive data in Mex-Cog, an algorithm-derived classification of dementia and MCI provided the prevalence of dementia and MCI in Mexico. Besides the association with cerebrovascular and cardiovascular disease, the effect of education, rural residence, and lack of health insurance suggests an unequal burden of MCI and dementia among the aging Mexican population.