The prevalence of mild cognitive impairment in Latin America and the Caribbean: a systematic review and meta-analysis

Aging Ment Health. 2022 Sep;26(9):1710-1720. doi: 10.1080/13607863.2021.2003297. Epub 2021 Nov 29.

Abstract

Objectives: The population of Latin America and Caribbean (LAC) is ageing rapidly, presenting the highest prevalence rates of dementia in the world. Mild cognitive impairment (MCI) is an intermediate condition between normal ageing, Alzheimer's disease, and related dementias. We conducted a systematic review to evaluate the prevalence of MCI in LAC countries and explore factors associated with MCI (i.e. age, sex/gender, and education).

Method: A database search was conducted in September 2020 using PubMed, Web of Science, Scopus, Lilacs, SciELO, EMBASE, and medRxiv for population- or community-based studies, published in English, Spanish, or Portuguese.

Results: From 2,155 screened studies, we selected reports including subjects with a precise diagnosis of MCI. A total of 11 studies met the inclusion criteria, adding up to 20,220 participants in nine countries: Brazil, Mexico, Argentina, Colombia, Peru, Cuba, Dominican Republic, Venezuela, and Costa Rica. Estimates for all-type MCI prevalence ranged from 6.8% to 25.5% and amnestic MCI between 3.1% and 10.5%. Estimates differed by age and education, with oldest and lower-educated adults presenting higher MCI prevalence.

Conclusion: This first systematic review of the prevalence of MCI discusses the population strata with the highest potential to benefit from dementia risk reduction interventions in LAC countries.

Publication types

  • Meta-Analysis
  • Systematic Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alzheimer Disease* / diagnosis
  • Caribbean Region / epidemiology
  • Cognitive Dysfunction* / complications
  • Cognitive Dysfunction* / epidemiology
  • Humans
  • Latin America / epidemiology
  • Mexico / epidemiology
  • Prevalence

Grants and funding

This work was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant number No. 803239 to AKL).