Evidence map›Paper›PMID 29351781›Full record

ArticleBMC public health2018

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 and 8 more

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study.Journal of urban health : bulletin of the New York Academy of Medicine · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Mariëlle A BeenackersDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands. m.beenackers@erasmusmc.nl.
Dany DoironResearch Institute of the McGill University Health Centre, Montreal, Canada.
Isabel FortierResearch Institute of the McGill University Health Centre, Montreal, Canada.
J Mark NoordzijDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands.
Erica ReinhardDepartment of Global Health and Social Medicine, King's College London, London, UK.
Emilie CourtinDepartment of Global Health and Social Medicine, King's College London, London, UK.
Martin BobakDepartment of Epidemiology and Public Health, University College London, London, UK.
Basile ChaixInserm, UMR_S 1136, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
Giuseppe CostaEpidemiology Unit, ASL TO3, Piedmont Region, Grugliasco, Turin, Italy.
Ulrike DappGeriatrics Centre, Scientific Department at the University of Hamburg, Hamburg, Germany.
Ana V Diez RouxDrexel University Dornsife School of Public Health, Philadelphia, PA, USA.
Martijn HuismanDepartment of Epidemiology and Biostatistics, EMGO+ Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
Emily M GrundyDepartment of Social Policy, London School of Economics and Political Science, London, UK.
Steinar KrokstadHUNT Research Centre, Department of Public Health and General Practice, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Levanger, Norway.
Pekka MartikainenPopulation Research Unit, Department of Social Research, University of Helsinki, Helsinki, Finland.
Parminder RainaCanadian Longitudinal Study on Aging, Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Mauricio AvendanoInserm, UMR_S 1136, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
Frank J van LentheDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands.

Funding

Horizon 2020 HORIZON 2020 research and innovation action 667661
6 · The paper itself

Abstract

backgroundUrbanization 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.

methodsMINDMAP 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.

Indexed as

AgingCitiesMental HealthCanadaCohort StudiesDatabases as TopicEuropeHumansInformation Storage and RetrievalResearchRussiaUnited StatesUrban HealthAgeingCohort studiesDatabaseData integrationMental well-beingUrban health

Identifiers

PMID29351781
PMCPMC5775623

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.