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

Authors :
Tim Cadman
John Wright
Ashleigh Lin
Mónica López-Vicente
Maria Melchior
Johanna L. Nader
Lorenzo Richiardi
Nina Rautio
Jordi Julvez
Hazel Inskip
Theodosia Salika
Johan Lerbech Vinther
Eva Corpeleijn
Jennie Carson
Katrine Strandberg-Larsen
Tuija M. Mikkola
Maja Popovic
Marjo-Riitta Järvelin
Veit Grote
Marie-Aline Charles
Tiffany Yang
Marloes Cardol
Jennifer R. Harris
Hanan El Marroun
Mònica Guxens
Kinga Polańska
Vincent W. V. Jaddoe
Jordi Sunyer
Berthold Koletzko
Rae-Chi Huang
Jouko Miettunen
Ahmed Elhakeem
Sebastian Rauschert
Marina Vafeiadi
Kathrin Gürlich
Rosemary R. C. McEachan
Barbara Heude
Johan G. Eriksson
Source :
Journal of Epidemiology. 33(6):321-331
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

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.

Details

Language :
English
ISSN :
13499092 and 09175040
Volume :
33
Issue :
6
Database :
OpenAIRE
Journal :
Journal of Epidemiology
Accession number :
edsair.doi.dedup.....7c914446962cf31a160df9642d2d8b44