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Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands

PURPOSE: In the Netherlands, a great variety of objectively measured geo-data is available, but these data are scattered and measured at varying spatial and temporal scales. The centralisation of these geo-data and the linkage of these data to individual-level data from longitudinal cohort studies e...

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Autores principales: Timmermans, Erik J, Lakerveld, Jeroen, Beulens, Joline W J, Boomsma, Dorret I, Kramer, Sophia E, Oosterman, Mirjam, Willemsen, Gonneke, Stam, Mariska, Nijpels, Giel, Schuengel, Carlo, Smit, Jan H, Brunekreef, Bert, Dekkers, Jasper E C, Deeg, Dorly J H, Penninx, Brenda W J H, Huisman, Martijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6009540/
https://www.ncbi.nlm.nih.gov/pubmed/29886447
http://dx.doi.org/10.1136/bmjopen-2018-021597
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author Timmermans, Erik J
Lakerveld, Jeroen
Beulens, Joline W J
Boomsma, Dorret I
Kramer, Sophia E
Oosterman, Mirjam
Willemsen, Gonneke
Stam, Mariska
Nijpels, Giel
Schuengel, Carlo
Smit, Jan H
Brunekreef, Bert
Dekkers, Jasper E C
Deeg, Dorly J H
Penninx, Brenda W J H
Huisman, Martijn
author_facet Timmermans, Erik J
Lakerveld, Jeroen
Beulens, Joline W J
Boomsma, Dorret I
Kramer, Sophia E
Oosterman, Mirjam
Willemsen, Gonneke
Stam, Mariska
Nijpels, Giel
Schuengel, Carlo
Smit, Jan H
Brunekreef, Bert
Dekkers, Jasper E C
Deeg, Dorly J H
Penninx, Brenda W J H
Huisman, Martijn
author_sort Timmermans, Erik J
collection PubMed
description PURPOSE: In the Netherlands, a great variety of objectively measured geo-data is available, but these data are scattered and measured at varying spatial and temporal scales. The centralisation of these geo-data and the linkage of these data to individual-level data from longitudinal cohort studies enable large-scale epidemiological research on the impact of the environment on public health in the Netherlands. In the Geoscience and Health Cohort Consortium (GECCO), six large-scale and ongoing cohort studies have been enriched with a variety of existing geo-data. Here, we introduce GECCO by describing: (1) the phenotypes of the involved cohort studies, (2) the collected geo-data and their sources, (3) the methodology that was used to link the collected geo-data to individual cohort studies, (4) the similarity of commonly used geo-data between our consortium and the nationwide situation in the Netherlands and (5) the distribution of geo-data within our consortium. PARTICIPANTS: GECCO includes participants from six prospective cohort studies (eg, 44 657 respondents (18–100 years) in 2006) and it covers all municipalities in the Netherlands. Using postal code information of the participants, geo-data on the address-level, postal code-level as well as neighbourhood-level could be linked to individual-level cohort data. FINDINGS TO DATE: The geo-data could be successfully linked to almost all respondents of all cohort studies, with successful data-linkage rates ranging from 97.1% to 100.0% between cohort studies. The results show variability in geo-data within and across cohorts. GECCO increases power of analyses, provides opportunities for cross-checking and replication, ensures sufficient geographical variation in environmental determinants and allows for nuanced analyses on specific subgroups. FUTURE PLANS: GECCO offers unique opportunities for (longitudinal) studies on the complex relationships between the environment and health outcomes. For example, GECCO will be used for further research on environmental determinants of physical/psychosocial functioning and lifestyle behaviours.
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spelling pubmed-60095402018-06-25 Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands Timmermans, Erik J Lakerveld, Jeroen Beulens, Joline W J Boomsma, Dorret I Kramer, Sophia E Oosterman, Mirjam Willemsen, Gonneke Stam, Mariska Nijpels, Giel Schuengel, Carlo Smit, Jan H Brunekreef, Bert Dekkers, Jasper E C Deeg, Dorly J H Penninx, Brenda W J H Huisman, Martijn BMJ Open Cohort Profile PURPOSE: In the Netherlands, a great variety of objectively measured geo-data is available, but these data are scattered and measured at varying spatial and temporal scales. The centralisation of these geo-data and the linkage of these data to individual-level data from longitudinal cohort studies enable large-scale epidemiological research on the impact of the environment on public health in the Netherlands. In the Geoscience and Health Cohort Consortium (GECCO), six large-scale and ongoing cohort studies have been enriched with a variety of existing geo-data. Here, we introduce GECCO by describing: (1) the phenotypes of the involved cohort studies, (2) the collected geo-data and their sources, (3) the methodology that was used to link the collected geo-data to individual cohort studies, (4) the similarity of commonly used geo-data between our consortium and the nationwide situation in the Netherlands and (5) the distribution of geo-data within our consortium. PARTICIPANTS: GECCO includes participants from six prospective cohort studies (eg, 44 657 respondents (18–100 years) in 2006) and it covers all municipalities in the Netherlands. Using postal code information of the participants, geo-data on the address-level, postal code-level as well as neighbourhood-level could be linked to individual-level cohort data. FINDINGS TO DATE: The geo-data could be successfully linked to almost all respondents of all cohort studies, with successful data-linkage rates ranging from 97.1% to 100.0% between cohort studies. The results show variability in geo-data within and across cohorts. GECCO increases power of analyses, provides opportunities for cross-checking and replication, ensures sufficient geographical variation in environmental determinants and allows for nuanced analyses on specific subgroups. FUTURE PLANS: GECCO offers unique opportunities for (longitudinal) studies on the complex relationships between the environment and health outcomes. For example, GECCO will be used for further research on environmental determinants of physical/psychosocial functioning and lifestyle behaviours. BMJ Publishing Group 2018-06-09 /pmc/articles/PMC6009540/ /pubmed/29886447 http://dx.doi.org/10.1136/bmjopen-2018-021597 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Cohort Profile
Timmermans, Erik J
Lakerveld, Jeroen
Beulens, Joline W J
Boomsma, Dorret I
Kramer, Sophia E
Oosterman, Mirjam
Willemsen, Gonneke
Stam, Mariska
Nijpels, Giel
Schuengel, Carlo
Smit, Jan H
Brunekreef, Bert
Dekkers, Jasper E C
Deeg, Dorly J H
Penninx, Brenda W J H
Huisman, Martijn
Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands
title Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands
title_full Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands
title_fullStr Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands
title_full_unstemmed Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands
title_short Cohort profile: the Geoscience and Health Cohort Consortium (GECCO) in the Netherlands
title_sort cohort profile: the geoscience and health cohort consortium (gecco) in the netherlands
topic Cohort Profile
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6009540/
https://www.ncbi.nlm.nih.gov/pubmed/29886447
http://dx.doi.org/10.1136/bmjopen-2018-021597
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