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

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

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Article number158
JournalBMC Public Health
Volume18
Issue number1
DOIs
Publication statusPublished - 19 Jan 2018

Cite this

Beenackers, M. A., Doiron, D., Fortier, I., Noordzij, J. M., Reinhard, E., Courtin, E., ... Van Lenthe, F. J. (2018). MINDMAP: Establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment. BMC Public Health, 18(1), [158]. https://doi.org/10.1186/s12889-018-5031-7
Beenackers, Mariëlle A. ; Doiron, Dany ; Fortier, Isabel ; Noordzij, J. Mark ; Reinhard, Erica ; Courtin, Emilie ; Bobak, Martin ; Chaix, Basile ; Costa, Giuseppe ; Dapp, Ulrike ; Diez Roux, Ana V. ; Huisman, Martijn ; Grundy, Emily M. ; Krokstad, Steinar ; Martikainen, Pekka ; Raina, Parminder ; Avendano, Mauricio ; Van Lenthe, Frank J. / MINDMAP : Establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment. In: BMC Public Health. 2018 ; Vol. 18, No. 1.
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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.",
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Beenackers, MA, Doiron, D, Fortier, I, Noordzij, JM, Reinhard, E, Courtin, E, Bobak, M, Chaix, B, Costa, G, Dapp, U, Diez Roux, AV, Huisman, M, Grundy, EM, Krokstad, S, Martikainen, P, Raina, P, Avendano, M & Van Lenthe, FJ 2018, 'MINDMAP: Establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment' BMC Public Health, vol. 18, no. 1, 158. https://doi.org/10.1186/s12889-018-5031-7

MINDMAP : Establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment. / Beenackers, Mariëlle A.; Doiron, Dany; Fortier, Isabel; Noordzij, J. Mark; Reinhard, Erica; Courtin, Emilie; Bobak, Martin; Chaix, Basile; Costa, Giuseppe; Dapp, Ulrike; Diez Roux, Ana V.; Huisman, Martijn; Grundy, Emily M.; Krokstad, Steinar; Martikainen, Pekka; Raina, Parminder; Avendano, Mauricio; Van Lenthe, Frank J.

In: BMC Public Health, Vol. 18, No. 1, 158, 19.01.2018.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - MINDMAP

T2 - Establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment

AU - Beenackers, Mariëlle A.

AU - Doiron, Dany

AU - Fortier, Isabel

AU - Noordzij, J. Mark

AU - Reinhard, Erica

AU - Courtin, Emilie

AU - Bobak, Martin

AU - Chaix, Basile

AU - Costa, Giuseppe

AU - Dapp, Ulrike

AU - Diez Roux, Ana V.

AU - Huisman, Martijn

AU - Grundy, Emily M.

AU - Krokstad, Steinar

AU - Martikainen, Pekka

AU - Raina, Parminder

AU - Avendano, Mauricio

AU - Van Lenthe, Frank J.

PY - 2018/1/19

Y1 - 2018/1/19

N2 - 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.

AB - 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.

KW - Ageing

KW - Cohort studies

KW - Data integration

KW - Database

KW - Mental well-being

KW - Urban health

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