Cookies?
Library Header Image
LSE Research Online LSE Library Services

MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment

Beenackers, Mariëlle A. and Doiron, Dany and Fortier, Isabel and Noordzij, J. Mark and Reinhard, Erica and Courtin, Emilie and Bobak, Martin and Chaix, Basile and Costa, Giuseppe and Dapp, Ulrike and Diez Roux, Ana V. and Huisman, Martijn and Grundy, Emily M. and Krokstad, Steinar and Martikainen, Pekka and Raina, Parminder and Avendano, Mauricio and van Lenthe, Frank J. (2018) MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment. BMC Public Health, 18 (1). ISSN 1471-2458

[img]
Preview
Text - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview
Identification Number: 10.1186/s12889-018-5031-7

Abstract

Background: Urbanization and ageing have important implications for public mental health and well-being. Cities pose major challenges for older citizens, but also offer opportunities to develop, test, and implement policies, services, infrastructure, and interventions that promote mental well-being. The MINDMAP project aims to identify the opportunities and challenges posed by urban environmental characteristics for the promotion and management of mental well-being and cognitive function of older individuals. Methods: MINDMAP aims to achieve its research objectives by bringing together longitudinal studies from 11 countries covering over 35 cities linked to databases of area-level environmental exposures and social and urban policy indicators. The infrastructure supporting integration of this data will allow multiple MINDMAP investigators to safely and remotely co-analyse individual-level and area-level data. Individual-level data is derived from baseline and follow-up measurements of ten participating cohort studies and provides information on mental well-being outcomes, sociodemographic variables, health behaviour characteristics, social factors, measures of frailty, physical function indicators, and chronic conditions, as well as blood derived clinical biochemistry-based biomarkers and genetic biomarkers. Area-level information on physical environment characteristics (e.g. green spaces, transportation), socioeconomic and sociodemographic characteristics (e.g. neighbourhood income, residential segregation, residential density), and social environment characteristics (e.g. social cohesion, criminality) and national and urban social policies is derived from publically available sources such as geoportals and administrative databases. The linkage, harmonization, and analysis of data from different sources are being carried out using piloted tools to optimize the validity of the research results and transparency of the methodology. Discussion: MINDMAP is a novel research collaboration that is combining population-based cohort data with publicly available datasets not typically used for ageing and mental well-being research. Integration of various data sources and observational units into a single platform will help to explain the differences in ageing-related mental and cognitive disorders both within as well as between cities in Europe, the US, Canada, and Russia and to assess the causal pathways and interactions between the urban environment and the individual determinants of mental well-being and cognitive ageing in older adults.

Item Type: Article
Official URL: https://bmcpublichealth.biomedcentral.com/
Additional Information: © 2018 The Author(s)
Divisions: Social Policy
Subjects: R Medicine > RA Public aspects of medicine
Sets: Departments > Social Policy
Date Deposited: 16 Mar 2018 14:18
Last Modified: 16 Mar 2018 14:25
Projects: 667661
Funders: uropean Commission HORIZON 2020 research and innovation action
URI: http://eprints.lse.ac.uk/id/eprint/87255

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics