Ana Luisa Sosa|Emiliano Albanese|Blossom C M Stephan|Michael Dewey|Daisy Acosta|Cleusa P. Ferri|Mariella Guerra|Yueqin Huang|KS Jacob|Ivonne Z. Jiménez?Velázquez|Juan J. Llibre Rodriguez|Aquiles Salas|Joseph Williams|Isaac Acosta|Maribella González-Viruet|Milagros A. Guerra Hernández|Shuran Li|Martin Prince|Robert Stewart
Prevalence, Distribution, and Impact of Mild Cognitive Impairment in Latin America, China, and India: A 10/66 Population-Based Study
Instituto Nacional de Neurología y Neurocirugía|National Institute on Aging|University of Cambridge|King's College London|Universidad Nacional Pedro Henríquez Ureña|King's College London|Universidad Peruana Cayetano Heredia|Peking University|Peking University Sixth Hospital|Christian Medical College & Hospital|University of Puerto Rico System|University of Havana|Central University of Venezuela|Voluntary Health Services Hospital|Instituto Nacional de Neurología y Neurocirugía|Carlos Albizu University|Peking University|Peking University Sixth Hospital|King's College London|King's College London
background rapid demographic ageing growing public health issue many low middleincome countries lamics mild cognitive impairment mci construct frequently used define groups people may risk developing dementia crucial targeting preventative interventions however little known prevalence impact mci lamic settings methods findings data analysed crosssectional surveys established 1066 dementia research group carried cuba dominican republic peru mexico venezuela puerto rico china india 15376 individuals aged 65 without dementia standardised assessments mental physical health cognitive function carried including informant interviews algorithm developed define mayo clinic amnestic mci amci disability 12item world health organization disability assessment schedule whodas informantreported neuropsychiatric symptoms neuropsychiatric inventory npiq measured adjustment amci associated disability anxiety apathy irritability depression betweencountry heterogeneity associations significant disability crude prevalence amci ranged 08 china 43 india country differences changed little range 0646 standardization age gender education level pooled estimates amci modestly associated male gender fewer assets associated age education significant betweencountry variation demographic associations conclusions algorithmderived diagnosis amci showed sociodemographic associations consistently associated higher disability neuropsychiatric symptoms addition showing substantial variation prevalence across lamic populations longitudinal data needed confirm findingsin particular investigate predictive validity amci settings riskprotective factors progression dementia however large number affected important implications rapidly ageing settings please see later article editors summary