MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment
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 wel...
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2018-01-01
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Online Access: | http://link.springer.com/article/10.1186/s12889-018-5031-7 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mariëlle A. Beenackers Dany Doiron Isabel Fortier J. Mark Noordzij Erica Reinhard Emilie Courtin Martin Bobak Basile Chaix Giuseppe Costa Ulrike Dapp Ana V. Diez Roux Martijn Huisman Emily M. Grundy Steinar Krokstad Pekka Martikainen Parminder Raina Mauricio Avendano Frank J. van Lenthe |
spellingShingle |
Mariëlle A. Beenackers Dany Doiron Isabel Fortier J. Mark Noordzij Erica Reinhard Emilie Courtin Martin Bobak Basile Chaix Giuseppe Costa Ulrike Dapp Ana V. Diez Roux Martijn Huisman Emily M. Grundy Steinar Krokstad Pekka Martikainen Parminder Raina Mauricio Avendano Frank J. van Lenthe MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment BMC Public Health Ageing Mental well-being Urban health Database Data integration Cohort studies |
author_facet |
Mariëlle A. Beenackers Dany Doiron Isabel Fortier J. Mark Noordzij Erica Reinhard Emilie Courtin Martin Bobak Basile Chaix Giuseppe Costa Ulrike Dapp Ana V. Diez Roux Martijn Huisman Emily M. Grundy Steinar Krokstad Pekka Martikainen Parminder Raina Mauricio Avendano Frank J. van Lenthe |
author_sort |
Mariëlle A. Beenackers |
title |
MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment |
title_short |
MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment |
title_full |
MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment |
title_fullStr |
MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment |
title_full_unstemmed |
MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment |
title_sort |
mindmap: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment |
publisher |
BMC |
series |
BMC Public Health |
issn |
1471-2458 |
publishDate |
2018-01-01 |
description |
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. |
topic |
Ageing Mental well-being Urban health Database Data integration Cohort studies |
url |
http://link.springer.com/article/10.1186/s12889-018-5031-7 |
work_keys_str_mv |
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doaj-921fa3b2330946bba90e1d1c6f8632ff2020-11-24T21:09:59ZengBMCBMC Public Health1471-24582018-01-0118111010.1186/s12889-018-5031-7MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environmentMariëlle A. Beenackers0Dany Doiron1Isabel Fortier2J. Mark Noordzij3Erica Reinhard4Emilie Courtin5Martin Bobak6Basile Chaix7Giuseppe Costa8Ulrike Dapp9Ana V. Diez Roux10Martijn Huisman11Emily M. Grundy12Steinar Krokstad13Pekka Martikainen14Parminder Raina15Mauricio Avendano16Frank J. van Lenthe17Department of Public Health, Erasmus MC, University Medical Center RotterdamResearch Institute of the McGill University Health CentreResearch Institute of the McGill University Health CentreDepartment of Public Health, Erasmus MC, University Medical Center RotterdamDepartment of Global Health and Social MedicineDepartment of Global Health and Social MedicineDepartment of Epidemiology and Public HealthInserm, UMR_S 1136, Pierre Louis Institute of Epidemiology and Public HealthEpidemiology Unit, ASL TO3, Piedmont RegionGeriatrics Centre, Scientific Department at the University of HamburgDrexel University Dornsife School of Public HealthDepartment of Epidemiology and Biostatistics, EMGO+ Institute for Health and Care Research, VU University Medical CenterDepartment of Social Policy, London School of Economics and Political ScienceHUNT Research Centre, Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology (NTNU)Population Research Unit, Department of Social Research, University of HelsinkiCanadian Longitudinal Study on Aging, Department of Health Research Methods, Evidence and Impact, McMaster UniversityInserm, UMR_S 1136, Pierre Louis Institute of Epidemiology and Public HealthDepartment of Public Health, Erasmus MC, University Medical Center RotterdamAbstract 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.http://link.springer.com/article/10.1186/s12889-018-5031-7AgeingMental well-beingUrban healthDatabaseData integrationCohort studies |