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dc.contributor.authorWu, Yu-Tzu
dc.contributor.authorBrayne, Carol
dc.contributor.authorLiu, Zhaorui
dc.contributor.authorHuang, Yueqin
dc.contributor.authorSosa, Ana Luisa
dc.contributor.authorAcosta, Daisy
dc.contributor.authorPrina, Matthew
dc.date.accessioned2020-09-26T18:39:25Z
dc.date.available2020-09-26T18:39:25Z
dc.date.issued2020
dc.identifier.citationWu YT, Brayne C, Liu Z, Huang Y, Sosa AL, Acosta D, et al. Neighbourhood environment and dementia in older people from high-, middle- and low-income countries: results from two population-based cohort. BMC Public Health En línea]. 2020 [consultado día mes año]; 20(1330): 1-12. Disponible en:en_US
dc.identifier.urihttps://repositorio.unphu.edu.do/handle/123456789/3031
dc.description.abstractA growing number of studies have explored how features of the neighbourhood environment can be related to cognitive health in later life. Yet few have focused on low- and middle-income countries and compared the results across different settings. The aim of this study is to investigate the cross-sectional associations between neighbourhood amenities and dementia in older people from high-, middle- and low-income countries. Methods: This study was based on two population-based cohort studies of people aged≥65: the Cognitive Function and Ageing Study II (CFAS II) in UK (N = 4955) and a subset of the 10/66 study in China, Dominican Republic and Mexico (N = 3386). In both cohorts, dementia was assessed using the Geriatric Mental State−Automated Geriatric Examination for Computer Assisted Taxonomy (GMS-AGECAT) algorithm. The 10/66 dementia diagnostic algorithm was also used as an additional criterion in the 10/66 study. Publicly accessible databases, Google Maps and Open Street Map, were used to obtain geographic information system data on distance to neighbourhood amenities, including lifestyle (cafés, libraries, movie theatres, parks), daily life (post offices, convenience stores), healthcare (hospitals, pharmacies) and percentages of local green and blue spaces within 400 and 800m of participants’ residences. Multilevel logistic regression was used to investigate the associations between these environmental features and dementia adjusting for sociodemographic factors and self-rated health. Results: Living far from daily life amenities was associated with higher odds of dementia in both CFAS II (1.47; 95% CI: 0.96, 2.24) and the 10/66 study (1.53; 95% CI: 1.15, 2.04), while living far from lifestyle (1.50; 95% CI: 1.13, 1.99) and healthcare amenities (1.32; 95% CI: 0.93, 1.87) was associated with higher odds of dementia only in the 10/66 study. A high availability of local green and blue spaces was not associated with dementia in either cohort yet living far from public parks was associated with lower odds of dementia in CFAS II (0.64; 95% CI: 0.41, 1.00). Conclusions: The different relationships across cohorts may indicate a varying role for local amenities in diverse settings. Future research may investigate mechanisms related to these differences and social, cultural and historical influences on the interaction between neighbourhood amenities and older peopleen_US
dc.language.isoenen_US
dc.publisherBMC Public Healthen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectDemenciaen_US
dc.titleNeighbourhood environment and dementia in older people from high-, middle- and low-income countries: results from two population-based cohorten_US
dc.typeArticleen_US


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