TY - JOUR

T1 - Cohort description

T2 - Measures of early-life behaviour and later psychopathology in the LifeCycle Project - EU Child Cohort Network

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 - El Marroun, Hanan

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

PY - 2023

Y1 - 2023

N2 - BACKGROUND: The EU LifeCycle Project was launched in 2017 to combine, harmonise, and analyse 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 over 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, behavioural 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 for ages 0-18+ years, covering domains across a wide range of behavioural and psychopathology indicators and outcomes (including executive function, depression, ADHD and cognition). These data span a unique combination of qualitative data collected through behavioural/cognitive/mental health questionnaires and examination, as well as data from biological samples and indices in the form of brain imaging (MRI, foetal 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, harmonise, and analyse 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 over 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, behavioural 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 for ages 0-18+ years, covering domains across a wide range of behavioural and psychopathology indicators and outcomes (including executive function, depression, ADHD and cognition). These data span a unique combination of qualitative data collected through behavioural/cognitive/mental health questionnaires and examination, as well as data from biological samples and indices in the form of brain imaging (MRI, foetal 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.

U2 - 10.2188/jea.JE20210241

DO - 10.2188/jea.JE20210241

M3 - Journal article

C2 - 34776498

VL - 33

SP - 321

EP - 331

JO - Journal of Epidemiology

JF - Journal of Epidemiology

SN - 0917-5040

IS - 6

ER -