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Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description

BACKGROUND: The EU LifeCycle Project was launched in 2017 to combine, harmonize, and analyze data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overv...

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Autores principales: Nader, Johanna L., López-Vicente, Mònica, Julvez, Jordi, Guxens, Monica, Cadman, Tim, Elhakeem, Ahmed, Järvelin, Marjo-Riitta, Rautio, Nina, Miettunen, Jouko, El Marroun, Hanan, Melchior, Maria, Heude, Barbara, Charles, Marie-Aline, Yang, Tiffany C., McEachan, Rosemary R. C., Wright, John, Polanska, Kinga, Carson, Jennie, Lin, Ashleigh, Rauschert, Sebastian, Huang, Rae-Chi, Popovic, Maja, Richiardi, Lorenzo, Corpeleijn, Eva, Cardol, Marloes, Mikkola, Tuija M., Eriksson, Johan G., Salika, Theodosia, Inskip, Hazel, Vinther, Johan Lerbech, Strandberg-Larsen, Katrine, Gürlich, Kathrin, Grote, Veit, Koletzko, Berthold, Vafeiadi, Marina, Sunyer, Jordi, Jaddoe, Vincent W. V., Harris, Jennifer R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Epidemiological Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165218/
https://www.ncbi.nlm.nih.gov/pubmed/34776498
http://dx.doi.org/10.2188/jea.JE20210241
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author Nader, Johanna L.
López-Vicente, Mònica
Julvez, Jordi
Guxens, Monica
Cadman, Tim
Elhakeem, Ahmed
Järvelin, Marjo-Riitta
Rautio, Nina
Miettunen, Jouko
El Marroun, Hanan
Melchior, Maria
Heude, Barbara
Charles, Marie-Aline
Yang, Tiffany C.
McEachan, Rosemary R. C.
Wright, John
Polanska, Kinga
Carson, Jennie
Lin, Ashleigh
Rauschert, Sebastian
Huang, Rae-Chi
Popovic, Maja
Richiardi, Lorenzo
Corpeleijn, Eva
Cardol, Marloes
Mikkola, Tuija M.
Eriksson, Johan G.
Salika, Theodosia
Inskip, Hazel
Vinther, Johan Lerbech
Strandberg-Larsen, Katrine
Gürlich, Kathrin
Grote, Veit
Koletzko, Berthold
Vafeiadi, Marina
Sunyer, Jordi
Jaddoe, Vincent W. V.
Harris, Jennifer R.
author_facet Nader, Johanna L.
López-Vicente, Mònica
Julvez, Jordi
Guxens, Monica
Cadman, Tim
Elhakeem, Ahmed
Järvelin, Marjo-Riitta
Rautio, Nina
Miettunen, Jouko
El Marroun, Hanan
Melchior, Maria
Heude, Barbara
Charles, Marie-Aline
Yang, Tiffany C.
McEachan, Rosemary R. C.
Wright, John
Polanska, Kinga
Carson, Jennie
Lin, Ashleigh
Rauschert, Sebastian
Huang, Rae-Chi
Popovic, Maja
Richiardi, Lorenzo
Corpeleijn, Eva
Cardol, Marloes
Mikkola, Tuija M.
Eriksson, Johan G.
Salika, Theodosia
Inskip, Hazel
Vinther, Johan Lerbech
Strandberg-Larsen, Katrine
Gürlich, Kathrin
Grote, Veit
Koletzko, Berthold
Vafeiadi, Marina
Sunyer, Jordi
Jaddoe, Vincent W. V.
Harris, Jennifer R.
author_sort Nader, Johanna L.
collection PubMed
description BACKGROUND: The EU LifeCycle Project was launched in 2017 to combine, harmonize, and analyze data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overview of the major measures within mental health domains that are available in 17 European and Australian cohorts participating in the LifeCycle Project. METHODS: Data on cognitive, behavioral, and psychological development has been collected on participants from birth until adulthood through questionnaire and medical data. We developed an inventory of the available data by mapping individual instruments, domain types, and age groups, providing the basis for statistical harmonization across mental health measures. RESULTS: The mental health data in LifeCycle contain longitudinal and cross-sectional data from birth throughout the life course, covering domains across a wide range of behavioral and psychopathology indicators and outcomes, including executive function, depression, ADHD, and cognition. These data span a unique combination of qualitative data collected through behavioral/cognitive/mental health questionnaires and examination, as well as data from biological samples and indices in the form of imaging (MRI, fetal ultrasound) and DNA methylation data. Harmonized variables on a subset of mental health domains have been developed, providing statistical equivalence of measures required for longitudinal meta-analyses across instruments and cohorts. CONCLUSION: Mental health data harmonized through the LifeCycle project can be used to study life-course trajectories and exposure-outcome models that examine early life risk factors for mental illness and develop predictive markers for later-life disease.
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spelling pubmed-101652182023-06-05 Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description Nader, Johanna L. López-Vicente, Mònica Julvez, Jordi Guxens, Monica Cadman, Tim Elhakeem, Ahmed Järvelin, Marjo-Riitta Rautio, Nina Miettunen, Jouko El Marroun, Hanan Melchior, Maria Heude, Barbara Charles, Marie-Aline Yang, Tiffany C. McEachan, Rosemary R. C. Wright, John Polanska, Kinga Carson, Jennie Lin, Ashleigh Rauschert, Sebastian Huang, Rae-Chi Popovic, Maja Richiardi, Lorenzo Corpeleijn, Eva Cardol, Marloes Mikkola, Tuija M. Eriksson, Johan G. Salika, Theodosia Inskip, Hazel Vinther, Johan Lerbech Strandberg-Larsen, Katrine Gürlich, Kathrin Grote, Veit Koletzko, Berthold Vafeiadi, Marina Sunyer, Jordi Jaddoe, Vincent W. V. Harris, Jennifer R. J Epidemiol Study Profile BACKGROUND: The EU LifeCycle Project was launched in 2017 to combine, harmonize, and analyze data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overview of the major measures within mental health domains that are available in 17 European and Australian cohorts participating in the LifeCycle Project. METHODS: Data on cognitive, behavioral, and psychological development has been collected on participants from birth until adulthood through questionnaire and medical data. We developed an inventory of the available data by mapping individual instruments, domain types, and age groups, providing the basis for statistical harmonization across mental health measures. RESULTS: The mental health data in LifeCycle contain longitudinal and cross-sectional data from birth throughout the life course, covering domains across a wide range of behavioral and psychopathology indicators and outcomes, including executive function, depression, ADHD, and cognition. These data span a unique combination of qualitative data collected through behavioral/cognitive/mental health questionnaires and examination, as well as data from biological samples and indices in the form of imaging (MRI, fetal ultrasound) and DNA methylation data. Harmonized variables on a subset of mental health domains have been developed, providing statistical equivalence of measures required for longitudinal meta-analyses across instruments and cohorts. CONCLUSION: Mental health data harmonized through the LifeCycle project can be used to study life-course trajectories and exposure-outcome models that examine early life risk factors for mental illness and develop predictive markers for later-life disease. Japan Epidemiological Association 2023-06-05 /pmc/articles/PMC10165218/ /pubmed/34776498 http://dx.doi.org/10.2188/jea.JE20210241 Text en © 2021 Johanna L. Nader et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Study Profile
Nader, Johanna L.
López-Vicente, Mònica
Julvez, Jordi
Guxens, Monica
Cadman, Tim
Elhakeem, Ahmed
Järvelin, Marjo-Riitta
Rautio, Nina
Miettunen, Jouko
El Marroun, Hanan
Melchior, Maria
Heude, Barbara
Charles, Marie-Aline
Yang, Tiffany C.
McEachan, Rosemary R. C.
Wright, John
Polanska, Kinga
Carson, Jennie
Lin, Ashleigh
Rauschert, Sebastian
Huang, Rae-Chi
Popovic, Maja
Richiardi, Lorenzo
Corpeleijn, Eva
Cardol, Marloes
Mikkola, Tuija M.
Eriksson, Johan G.
Salika, Theodosia
Inskip, Hazel
Vinther, Johan Lerbech
Strandberg-Larsen, Katrine
Gürlich, Kathrin
Grote, Veit
Koletzko, Berthold
Vafeiadi, Marina
Sunyer, Jordi
Jaddoe, Vincent W. V.
Harris, Jennifer R.
Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description
title Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description
title_full Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description
title_fullStr Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description
title_full_unstemmed Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description
title_short Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description
title_sort measures of early-life behavior and later psychopathology in the lifecycle project - eu child cohort network: a cohort description
topic Study Profile
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165218/
https://www.ncbi.nlm.nih.gov/pubmed/34776498
http://dx.doi.org/10.2188/jea.JE20210241
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