TY - JOUR
T1 - Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project-EU Child Cohort Network
T2 - A Cohort Description
AU - Nader, Johanna L.
AU - López-Vicente, Mònica
AU - Julvez, Jordi
AU - Guxens, Monica
AU - Cadman, Tim
AU - Elhakeem, Ahmed
AU - Järvelin, Marjo Riitta
AU - Rautio, Nina
AU - Miettunen, Jouko
AU - Marroun, Hanan El
AU - Melchior, Maria
AU - Heude, Barbara
AU - Charles, Marie Aline
AU - Yang, Tiffany C.
AU - McEachan, Rosemary R.C.
AU - Wright, John
AU - Polanska, Kinga
AU - Carson, Jennie
AU - Lin, Ashleigh
AU - Rauschert, Sebastian
AU - Huang, Rae Chi
AU - Popovic, Maja
AU - Richiardi, Lorenzo
AU - Corpeleijn, Eva
AU - Cardol, Marloes
AU - Mikkola, Tuija M.
AU - Eriksson, Johan G.
AU - Salika, Theodosia
AU - Inskip, Hazel
AU - Vinther, Johan Lerbech
AU - Strandberg-Larsen, Katrine
AU - Gürlich, Kathrin
AU - Grote, Veit
AU - Koletzko, Berthold
AU - Vafeiadi, Marina
AU - Sunyer, Jordi
AU - Jaddoe, Vincent W.V.
AU - Harris, Jennifer R.
N1 - Funding Information:
Funding: LifeCycle is a 5-year research project that is funded through the European Union’s Horizon 2020 Research and Innovation Programme (grant agreement no. 733206). For more information on individual cohorts’ funding information, refer to eMaterials 2. Conflicts of interest: None declared.
Publisher Copyright:
© 2021 Johanna L. Nader et al.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85162010373&partnerID=8YFLogxK
U2 - 10.2188/jea.JE20210241
DO - 10.2188/jea.JE20210241
M3 - Article
C2 - 34776498
AN - SCOPUS:85162010373
SN - 0917-5040
VL - 33
SP - 321
EP - 331
JO - Journal of Epidemiology
JF - Journal of Epidemiology
IS - 6
ER -
