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

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.

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References

Chatzi L, Plana E, Daraki V, Karakosta P, Alegkakis D, Tsatsanis C . Metabolic syndrome in early pregnancy and risk of preterm birth. Am J Epidemiol. 2009; 170(7):829-36. DOI: 10.1093/aje/kwp211. View

Wiers C, Lohoff F, Lee J, Muench C, Freeman C, Zehra A . Methylation of the dopamine transporter gene in blood is associated with striatal dopamine transporter availability in ADHD: A preliminary study. Eur J Neurosci. 2018; 48(3):1884-1895. PMC: 6113083. DOI: 10.1111/ejn.14067. View

Richiardi L, Baussano I, Vizzini L, Douwes J, Pearce N, Merletti F . Feasibility of recruiting a birth cohort through the Internet: the experience of the NINFEA cohort. Eur J Epidemiol. 2007; 22(12):831-7. DOI: 10.1007/s10654-007-9194-2. View

Cheetham A, Allen N, Whittle S, Simmons J, Yucel M, Lubman D . Amygdala volume mediates the relationship between externalizing symptoms and daily smoking in adolescence: A prospective study. Psychiatry Res Neuroimaging. 2018; 276:46-52. DOI: 10.1016/j.pscychresns.2018.03.007. View

Charles M, Thierry X, Lanoe J, Bois C, Dufourg M, Popa R . Cohort Profile: The French national cohort of children (ELFE): birth to 5 years. Int J Epidemiol. 2019; 49(2):368-369j. PMC: 7266552. DOI: 10.1093/ije/dyz227. View

Fraser A, Macdonald-Wallis C, Tilling K, Boyd A, Golding J, Davey Smith G . Cohort Profile: the Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort. Int J Epidemiol. 2012; 42(1):97-110. PMC: 3600619. DOI: 10.1093/ije/dys066. View

Kooijman M, Kruithof C, Van Duijn C, Duijts L, Franco O, van IJzendoorn M . The Generation R Study: design and cohort update 2017. Eur J Epidemiol. 2017; 31(12):1243-1264. PMC: 5233749. DOI: 10.1007/s10654-016-0224-9. View

Jousilahti P, Laatikainen T, Peltonen M, Borodulin K, Mannisto S, Jula A . Primary prevention and risk factor reduction in coronary heart disease mortality among working aged men and women in eastern Finland over 40 years: population based observational study. BMJ. 2016; 352:i721. PMC: 4772739. DOI: 10.1136/bmj.i721. View

Banaj N, Piras F, Piras F, Ciullo V, Iorio M, Battaglia C . Cognitive and psychopathology correlates of brain white/grey matter structure in severely psychotic schizophrenic inpatients. Schizophr Res Cogn. 2018; 12:29-36. PMC: 5842307. DOI: 10.1016/j.scog.2018.02.001. View

10.

Wright J, Small N, Raynor P, Tuffnell D, Bhopal R, Cameron N . Cohort Profile: the Born in Bradford multi-ethnic family cohort study. Int J Epidemiol. 2012; 42(4):978-91. DOI: 10.1093/ije/dys112. View

11.

Newnham J, Evans S, Michael C, Stanley F, Landau L . Effects of frequent ultrasound during pregnancy: a randomised controlled trial. Lancet. 1993; 342(8876):887-91. DOI: 10.1016/0140-6736(93)91944-h. View

12.

Whiteford H, Degenhardt L, Rehm J, Baxter A, Ferrari A, Erskine H . Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013; 382(9904):1575-86. DOI: 10.1016/S0140-6736(13)61611-6. View

13.

Volkow N, Koob G, Croyle R, Bianchi D, Gordon J, Koroshetz W . The conception of the ABCD study: From substance use to a broad NIH collaboration. Dev Cogn Neurosci. 2017; 32:4-7. PMC: 5893417. DOI: 10.1016/j.dcn.2017.10.002. View

14.

LAbee C, Sauer P, Damen M, Rake J, Cats H, Stolk R . Cohort Profile: the GECKO Drenthe study, overweight programming during early childhood. Int J Epidemiol. 2008; 37(3):486-9. DOI: 10.1093/ije/dym218. View

15.

Correll C, Solmi M, Veronese N, Bortolato B, Rosson S, Santonastaso P . Prevalence, incidence and mortality from cardiovascular disease in patients with pooled and specific severe mental illness: a large-scale meta-analysis of 3,211,768 patients and 113,383,368 controls. World Psychiatry. 2017; 16(2):163-180. PMC: 5428179. DOI: 10.1002/wps.20420. View

16.

Gershon A, Hwee J, Victor J, Wilton A, Wu R, Day A . Mortality trends in women and men with COPD in Ontario, Canada, 1996-2012. Thorax. 2014; 70(2):121-6. DOI: 10.1136/thoraxjnl-2014-205956. View

17.

Jaddoe V, Felix J, Nybo Andersen A, Charles M, Chatzi L, Corpeleijn E . The LifeCycle Project-EU Child Cohort Network: a federated analysis infrastructure and harmonized data of more than 250,000 children and parents. Eur J Epidemiol. 2020; 35(7):709-724. PMC: 7387322. DOI: 10.1007/s10654-020-00662-z. View

18.

Beenackers M, Doiron D, Fortier I, Noordzij J, Reinhard E, Courtin E . MINDMAP: establishing an integrated database infrastructure for research in ageing, mental well-being, and the urban environment. BMC Public Health. 2018; 18(1):158. PMC: 5775623. DOI: 10.1186/s12889-018-5031-7. View

19.

Stiles J, Jernigan T . The basics of brain development. Neuropsychol Rev. 2010; 20(4):327-48. PMC: 2989000. DOI: 10.1007/s11065-010-9148-4. View

20.

Bhatnagar P, Wickramasinghe K, Wilkins E, Townsend N . Trends in the epidemiology of cardiovascular disease in the UK. Heart. 2016; 102(24):1945-1952. PMC: 5256396. DOI: 10.1136/heartjnl-2016-309573. View