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Peer-reviewedCC BY 4.0Journal of Child Psychology and Psychiatry, and Allied Disciplines

Early‐life pathways to inequalities in child mental health: evidence from eight birth cohorts

26 more authors
30 affiliations
  1. 1Department of Public Health University of Copenhagen Copenhagen Denmark
  2. 2Department of Public Health, Policy and Systems University of Liverpool Liverpool UK
  3. 3Department of Genetics, Genomics Coordination Center University Medical Center Groningen, University of Groningen Groningen The Netherlands
  4. 4Barcelona Institute for Global Health (ISGlobal) Barcelona Spain
  5. 5School of Population and Global Health The University of Western Australia Perth Australia
  6. 6French National Institute of Health and Medical Research (INSERM), French National Institute for Demographic Studies (INED), Joint Unit Elfe Aubervilliers France
  7. 7MRC Integrative Epidemiology Unit University of Bristol Bristol UK
  8. 8Department of Paediatrics, Sant Joan Reus Hospital University Rovira i Virgili, IISPV Reus Spain
  9. 9Division of Metabolic and Nutritional Medicine, Department of Paediatrics Dr. von Hauner Children's Hospital, LMU University Hospital Munich Germany
  10. 10German Center for Child and Adolescent Health, Site Munich Munich Germany
  11. 11Neonatal Department and Neonatal Intensive Care Unit Children's Memorial Health Institute Warsaw Poland
  12. 12Nutrition & Health Innovation Research Institute Edith Cowan University Perth Australia
  13. 13Centre for Fertility and Health Norwegian Institute of Public Health Oslo Norway
  14. 14Environmental Epidemiology and Child Development Unit Biogipuzkoa Health Research Institute Donostia‐San Sebastián Spain
  15. 15Spanish Consortium for Research and Public Health (CIBERESP) Instituto de Salud Carlos III Madrid Spain
  16. 16Clinical and Epidemiological Neuroscience (NeuroÈpia) Institut d'Investigació Sanitària Pere Virgili (IISPV) Reus Spain
  17. 17The Australian Research Centre in Sex, Health and Society La Trobe University Melbourne Vic. Australia
  18. 18Research Group in Social Determinants of Health and Demographic Change‐OPIK Department of Sociology and Social Work University of the Basque Country (UPV/EHU) Leioa (Biscay) Spain
  19. 19Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust Bradford UK
  20. 20French National Institute of Health and Medical Research (INSERM) Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Epidémiologie Sociale, Santé Mentale Addictions (ESSMA) Paris France
  21. 21Menzies Institute for Medical Research, University of Tasmania Hobart Tas. Australia
  22. 22Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation Norwegian Institute of Public Health Oslo Norway
  23. 23School of Public Health Imperial College London London UK
  24. 24Department of Medical Sciences University of Turin Turin Italy
  25. 25Department of Medicine, Faculty of Health Sciences Universitat Jaume I Castellón de la Plana Spain
  26. 26Epidemiology and Environmental Health Joint Research Unit FISABIO–Universitat Jaume I‐University of Valencia Valencia Spain
  27. 27Universitat Pompeu Fabra Barcelona Spain
  28. 28IMIM‐Parc Salut Mar Barcelona Catalonia Spain
  29. 29Pediatric Unit Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan Italy
  30. 30Groupe Santé CHC Liège Belgium

Abstract

Background: Socioeconomic inequalities in children's emotional and behavioural problems are already present at school entry. We examined associations between early‐life socioeconomic conditions and children's externalising and internalising problems and assessed whether early‐life risk factors mediated these associations.

Methods: We analysed harmonised individual participant data from eight birth cohorts within the EU Child Cohort Network. Maternal educational level during pregnancy was used as an indicator of early‐life socioeconomic conditions (SECs). Scores of children's externalising and internalising problems around school entry age were used as the outcome variables. Inequalities were quantified using the Slope Index of Inequality which captures the difference in prevalence of problems between children from highest and lowest SECs. Mediation analysis was used to assess the mediating role of five early‐life risk factors: maternal smoking during pregnancy, gestational age, small for gestational age, postpartum depression and breastfeeding.

Results: Inequalities in externalising and internalising problems by SECs were consistent across cohorts: Children of mothers with low educational level had on average a 12 and 11 percentage point increased prevalence of externalising and internalising problems respectively. Early‐life factors explained around 8% (DNBC, Denmark) to 54% (INMA, Spain) of the inequality in externalising problems and 7% (ELFE, France) to 25% (ALSPAC, UK) in internalising problems.

Conclusions: Children from lower SECs consistently had a higher prevalence of both externalising and internalising problems around school entry age. These inequalities were partly mediated by early‐life factors. Public health interventions in pregnancy and the preschool period are critical to address the early emergence of inequalities in children's mental health.

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BibTeX
@article{avraam2026earlylife,
  title = {{Early‐life pathways to inequalities in child mental health: evidence from eight birth cohorts}},
  author = {Demetris Avraam and Gabriella Melis and Tim Cadman and Jennie Carson and Marie Aline Charles and Yu Wei Chua and Ahmed Elhakeem and Joaquín Escribano and Veit Grote and Dariusz Gruszfeld and Kathrin Guerlich and Rae‐Chi Huang and Jennifer R. Harris and Jesus Ibarluzea and Jordi Julvez and Berthold Koletzko and Ashleigh Lin and Unai Martin and Rosemary McEachan and Maria Melchior and Phillip Melton and Johanna Thorbjornsrud Nader and Angela Pinot de Moira and Maja Popovic and Simona Porru and Lorenzo Richiardi and Blanca Sarzo and Daniela Schlüter and Jordi Sunyer and Morris Swertz and Elvira Verduci and John Wright and Annick Xhonneux and Tiffany Yang and Daniela Zugna and Anne‐Marie Nybo Andersen and Katrine Strandberg‐Larsen and David Taylor‐Robinson},
  journal = {Journal of Child Psychology and Psychiatry, and Allied Disciplines},
  year = {2026},
  month = jul,
  doi = {10.1111/jcpp.70207},
  url = {https://doi.org/10.1111/jcpp.70207},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Early‐life pathways to inequalities in child mental health: evidence from eight birth cohorts
AU  - Demetris Avraam
AU  - Gabriella Melis
AU  - Tim Cadman
AU  - Jennie Carson
AU  - Marie Aline Charles
AU  - Yu Wei Chua
AU  - Ahmed Elhakeem
AU  - Joaquín Escribano
AU  - Veit Grote
AU  - Dariusz Gruszfeld
AU  - Kathrin Guerlich
AU  - Rae‐Chi Huang
AU  - Jennifer R. Harris
AU  - Jesus Ibarluzea
AU  - Jordi Julvez
AU  - Berthold Koletzko
AU  - Ashleigh Lin
AU  - Unai Martin
AU  - Rosemary McEachan
AU  - Maria Melchior
AU  - Phillip Melton
AU  - Johanna Thorbjornsrud Nader
AU  - Angela Pinot de Moira
AU  - Maja Popovic
AU  - Simona Porru
AU  - Lorenzo Richiardi
AU  - Blanca Sarzo
AU  - Daniela Schlüter
AU  - Jordi Sunyer
AU  - Morris Swertz
AU  - Elvira Verduci
AU  - John Wright
AU  - Annick Xhonneux
AU  - Tiffany Yang
AU  - Daniela Zugna
AU  - Anne‐Marie Nybo Andersen
AU  - Katrine Strandberg‐Larsen
AU  - David Taylor‐Robinson
PY  - 2026
DA  - 2026/07/28
JO  - Journal of Child Psychology and Psychiatry, and Allied Disciplines
DO  - 10.1111/jcpp.70207
UR  - https://doi.org/10.1111/jcpp.70207
AB  - Background: Socioeconomic inequalities in children's emotional and behavioural problems are already present at school entry. We examined associations between early‐life socioeconomic conditions and children's externalising and internalising problems and assessed whether early‐life risk factors mediated these associations.  Methods: We analysed harmonised individual participant data from eight birth cohorts within the EU Child Cohort Network. Maternal educational level during pregnancy was used as an indicator of early‐life socioeconomic conditions (SECs). Scores of children's externalising and internalising problems around school entry age were used as the outcome variables. Inequalities were quantified using the Slope Index of Inequality which captures the difference in prevalence of problems between children from highest and lowest SECs. Mediation analysis was used to assess the mediating role of five early‐life risk factors: maternal smoking during pregnancy, gestational age, small for gestational age, postpartum depression and breastfeeding.  Results: Inequalities in externalising and internalising problems by SECs were consistent across cohorts: Children of mothers with low educational level had on average a 12 and 11 percentage point increased prevalence of externalising and internalising problems respectively. Early‐life factors explained around 8% (DNBC, Denmark) to 54% (INMA, Spain) of the inequality in externalising problems and 7% (ELFE, France) to 25% (ALSPAC, UK) in internalising problems.  Conclusions: Children from lower SECs consistently had a higher prevalence of both externalising and internalising problems around school entry age. These inequalities were partly mediated by early‐life factors. Public health interventions in pregnancy and the preschool period are critical to address the early emergence of inequalities in children's mental health.
SN  - 0021-9630
SN  - 1469-7610
ER  -