1. Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project-EU Child Cohort Network
- Author
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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, and Johan G. Eriksson
- Subjects
Gerontology ,Epidemiology ,business.industry ,Cognition ,Qualitative property ,General Medicine ,16. Peace & justice ,Mental illness ,medicine.disease ,Child development ,Mental health ,3. Good health ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,Cohort ,medicine ,Life course approach ,030212 general & internal medicine ,business ,030217 neurology & neurosurgery ,Psychopathology - 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.
- Published
- 2023