Vis enkel innførsel

dc.contributor.authorBeenackers, Mariëlle A.
dc.contributor.authorDoiron, Dany
dc.contributor.authorFortier, Isabel
dc.contributor.authorNoordzij, J. Mark
dc.contributor.authorReinhard, Erica
dc.contributor.authorCourtin, Emilie
dc.contributor.authorBobak, Martin
dc.contributor.authorChaix, Basile
dc.contributor.authorCosta, Giuseppe
dc.contributor.authorDapp, Ulrike
dc.contributor.authorDiez Roux, Ana V.
dc.contributor.authorHuisman, Martijn
dc.contributor.authorGrundy, Emily M.
dc.contributor.authorKrokstad, Steinar
dc.contributor.authorMartikainen, Pekka
dc.contributor.authorRaina, Parminder
dc.contributor.authorAvendano, Mauricio
dc.contributor.authorVan Lenthe, Frank J.
dc.date.accessioned2019-04-11T14:29:47Z
dc.date.available2019-04-11T14:29:47Z
dc.date.created2018-07-03T15:47:14Z
dc.date.issued2018
dc.identifier.citationBMC Public Health. 2018, 18:158 1-10.nb_NO
dc.identifier.issn1471-2458
dc.identifier.urihttp://hdl.handle.net/11250/2594317
dc.description.abstractBackground 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.nb_NO
dc.language.isoengnb_NO
dc.publisherBMCnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMINDMAP: Establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environmentnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber1-10nb_NO
dc.source.volume18:158nb_NO
dc.source.journalBMC Public Healthnb_NO
dc.identifier.doi10.1186/s12889-018-5031-7
dc.identifier.cristin1595499
dc.description.localcode© The Author(s). 2018 Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.nb_NO
cristin.unitcode194,65,20,15
cristin.unitnameHelseundersøkelsen i Nord-Trøndelag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse 4.0 Internasjonal