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

DataSHIELD birth and pregnancy cohorts child behavior and mental health child development population epidemiology

Journal

Journal of epidemiology
ISSN: 1349-9092
Titre abrégé: J Epidemiol
Pays: Japan
ID NLM: 9607688

Informations de publication

Date de publication:
05 06 2023
Historique:
medline: 6 6 2023
pubmed: 16 11 2021
entrez: 15 11 2021
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 34776498
doi: 10.2188/jea.JE20210241
pmc: PMC10165218
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

321-331

Subventions

Organisme : Medical Research Council
ID : G9815508
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_15018
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19009
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12011/4
Pays : United Kingdom

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Auteurs

Johanna L Nader (JL)

Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health.

Mònica López-Vicente (M)

ISGlobal, Instituto de Salud Global de Barcelona.
Department of Child and Adolescent Psychiatry, Erasmus University Medical Center.

Jordi Julvez (J)

ISGlobal, Instituto de Salud Global de Barcelona.
Institut d'Investigació Sanitària Pere Virgili, Hospital Universitari Sant Joan de Reus.

Monica Guxens (M)

ISGlobal, Instituto de Salud Global de Barcelona.
Department of Child and Adolescent Psychiatry, Erasmus University Medical Center.

Tim Cadman (T)

MRC Integrative Epidemiology Unit at University of Bristol, Population Health Sciences, Bristol Medical School.

Ahmed Elhakeem (A)

MRC Integrative Epidemiology Unit at University of Bristol, Population Health Sciences, Bristol Medical School.

Marjo-Riitta Järvelin (MR)

Center for Life Course Health Research, University of Oulu.

Nina Rautio (N)

Center for Life Course Health Research, University of Oulu.

Jouko Miettunen (J)

Center for Life Course Health Research, University of Oulu.
Medical Research Center Oulu, Oulu University Hospital and University of Oulu.

Hanan El Marroun (H)

Department of Child and Adolescent Psychiatry, Erasmus University Medical Center.
Department of Pediatrics, Erasmus University Medical Center.
The Generation R Study Group, Erasmus University Medical Center.

Maria Melchior (M)

Institut national de la santé et de la recherche médicale, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Sorbonne Université.

Barbara Heude (B)

Centre for Research in Epidemiology and Statistics, Institut national de la santé et de la recherche médicale, Institut national de la recherche agronomique, Université de Paris.

Marie-Aline Charles (MA)

Centre for Research in Epidemiology and Statistics, Institut national de la santé et de la recherche médicale, Institut national de la recherche agronomique, Université de Paris.
Unité mixte Inserm-Ined-EFS Elfe, Institut national d'études démographiques.

Tiffany C Yang (TC)

Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust.

Rosemary R C McEachan (RRC)

Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust.

John Wright (J)

Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust.

Kinga Polanska (K)

Department of Hygiene and Epidemiology, Medical University of Lodz.

Jennie Carson (J)

Telethon Kids Institute, University of Western Australia.

Ashleigh Lin (A)

Telethon Kids Institute, University of Western Australia.

Sebastian Rauschert (S)

Telethon Kids Institute, University of Western Australia.

Rae-Chi Huang (RC)

Telethon Kids Institute, University of Western Australia.

Maja Popovic (M)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte.

Lorenzo Richiardi (L)

Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte.

Eva Corpeleijn (E)

Department of Epidemiology, University Medical Center Groningen.

Marloes Cardol (M)

Department of Epidemiology, University Medical Center Groningen.

Tuija M Mikkola (TM)

Folkhälsan Research Center.
Clinicum, Faculty of Medicine, University of Helsinki.

Johan G Eriksson (JG)

Folkhälsan Research Center.
Public Health Promotion Unit, National Institute for Health and Welfare.
Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital.
Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research.
Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore.

Theodosia Salika (T)

Medical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton.

Hazel Inskip (H)

Medical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton.
NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton.

Johan Lerbech Vinther (JL)

Section of Epidemiology, Department of Public Health, University of Copenhagen.

Katrine Strandberg-Larsen (K)

Section of Epidemiology, Department of Public Health, University of Copenhagen.

Kathrin Gürlich (K)

Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr von Hauner Children's Hospital, University Hospital, Ludwig Maximilian University of Munich.

Veit Grote (V)

Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr von Hauner Children's Hospital, University Hospital, Ludwig Maximilian University of Munich.

Berthold Koletzko (B)

Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr von Hauner Children's Hospital, University Hospital, Ludwig Maximilian University of Munich.

Marina Vafeiadi (M)

Department of Social Medicine, Faculty of Medicine, University of Crete.

Jordi Sunyer (J)

ISGlobal, Instituto de Salud Global de Barcelona.

Vincent W V Jaddoe (VWV)

Department of Pediatrics, Erasmus University Medical Center.
The Generation R Study Group, Erasmus University Medical Center.

Jennifer R Harris (JR)

Division of Health Data and Digitalization, Center for Fertility and Health and Department of Genetics and Bioinformatics, The Norwegian Institute of Public Health.

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