Here, you can view the publications of EU Child Cohort Network researchers. Just click on the respective title to read or download the original article.
  indicates a paper has used DataSHIELD for analyses



  1. Cadman T et al. (2023). Associations of Maternal Educational Level, Proximity to Greenspace During Pregnancy, and Gestational Diabetes With Body Mass Index From Infancy to Early Adulthood: A Proof-of-Concept Federated Analysis in 18 Birth Cohorts. Am J Epidemiol.
  2. Descarpentrie A et al. (2023). Lifestyle patterns in European preschoolers: Associations with socio-demographic factors and body mass index. Pediatr Obes 18(12): e13079.
  3. Elhakeem A et al. (2023). Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study. BMC Med 21(1): 23.
  4. Elhakeem A et al. (2023). Long-term cardiometabolic health in people born after assisted reproductive technology: a multi-cohort analysis. Eur Heart J.
  5. Fernandes A et al. (2023). School-Based Interventions to Support Healthy Indoor and Outdoor Environments for Children: A Systematic Review. International Journal of Environmental Research and Public Health 20(3): 1746.
  6. Guerlich K et al. (2023). Sleep duration in preschool age and later behavioral and cognitive outcomes: an individual participant data meta-analysis in five European cohorts. Eur Child Adolesc Psychiatry.
  7. Lioret S et al. (2023). The effectiveness of interventions during the first 1,000 days to improve energy balance-related behaviors or prevent overweight/obesity in children from socio-economically disadvantaged families of high-income countries: a systematic review. Obes Rev 24(1): e13524.
  8. Marques I et al. (2023). Associations of green and blue space exposure in pregnancy with epigenetic gestational age acceleration. Epigenetics 18(1): 2165321.
  9. Nader JL et al. (2023). Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project – EU Child Cohort Network: A Cohort Description. J Epidemiol 33(6): 321-31.
  10. Vinther JL et al. (2023). Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies. PLoS Med 20(1): e1004036.


  1. Abellan A et al. (2022). In utero exposure to bisphenols and asthma, wheeze, and lung function in school-age children: a prospective meta-analysis of 8 European birth cohorts. Environ Int 162: 107178.
  2. Aubert AM et al. (2022). Predictors of maternal dietary quality and dietary inflammation during pregnancy: An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium. Clin Nutr 41(9): 1991-2002.
  3. Bond TA et al. (2022). Exploring the causal effect of maternal pregnancy adiposity on offspring adiposity: Mendelian randomization using polygenic risk scores. BMC Medicine 20, Article number: 34.
  4. Caramaschi D et al. (2022). Meta-analysis of epigenome-wide associations between DNA methylation at birth and childhood cognitive skills. Mol Psychiatry 27(4): 2126-35.
  5. Choudhary P et al. (2022). The relationship of life-course patterns of adiposity with type 2 diabetes, depression, and their comorbidity in the Northern Finland Birth Cohort 1966. Int J Obes (Lond) 46(8): 1470-7.
  6. Clayton GL et al. (2022). From menarche to menopause: the impact of reproductive factors on the metabolic profile of over 65,000 women. medRxiv: 2022.04.17.22273947.
  7. Deng Z et al. (2022). A bit of salt, a trace of life: Gender norms and the impact of a salt iodization program on human capital formation of school aged children. J Health Econ 83: 102614.
  8. Deng Z et al. (2022). Early-life famine exposure, hunger recall, and later-life health. Journal of Applied Econometrics 37(4): 771-87.
  9. Elhakeem A et al. (2022). Association of Assisted Reproductive Technology With Offspring Growth and Adiposity From Infancy to Early Adulthood. JAMA Netw Open 5(7): e2222106.
  10. Elhakeem A et al. (2022). Association of assisted reproductive technology with long-term offspring cardiometabolic health: a multi-cohort study. medRxiv: 2022.04.13.22273455.
  11. Elhakeem A et al. (2022). Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study. medRxiv: 2022.04.05.22273388.
  12. Elhakeem A et al. (2022). Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies. BMC Medical Research Methodology 22, Article number: 68.
  13. Fernandez-Barres S et al. (2022). Urban environment and health behaviours in children from six European countries. Environ Int 165: 107319.
  14. Jacob CM et al. (2022). Acceptability of the FIGO Nutrition Checklist in Preconception and Early Pregnancy to Assess Nutritional Status and Prevent Excess Gestational Weight Gain: A Study of Women and Healthcare Practitioners in the UK. Nutrients 14(17).
  15. Jacob CM et al. (2022). The preconception period as a platform for preventing diabetes and non-communicable diseases. Practical Diabetes 39(4): 14-8.
  16. Jami ES et al. (2022). Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms. J Am Acad Child Adolesc Psychiatry 61(7): 934-45.
  17. Kupers LK et al. (2022). Maternal Mediterranean diet in pregnancy and newborn DNA methylation: a meta-analysis in the PACE Consortium. Epigenetics: 1-13.
  18. Lee YK et al. (2022). Tailoring an online breastfeeding course for Southeast Asian paediatric trainees- A qualitative study of user experience from Malaysia and Thailand. BMC Med Educ 22(1): 209.
  19. Lozano M et al. (2022). DNA methylation changes associated with prenatal mercury exposure: A meta-analysis of prospective cohort studies from PACE consortium. Environ Res 204(Pt B): 112093.
  20. Maritano S et al. (2022). Maternal pesticides exposure in pregnancy and the risk of wheezing in infancy: A prospective cohort study. Environ Int 163: 107229.
  21. Mensink-Bout SM et al. (2022). Associations of physical condition with lung function and asthma in adolescents from the general population. Pediatr Allergy Immunol 33(6).
  22. Mensink-Bout SM et al. (2022). Maternal diet in pregnancy and child’s respiratory outcomes: an individual participant data meta-analysis of 18 000 children. Eur Respir J 59(4).
  23. Monasso GS et al. (2022). Body fat, pericardial fat, liver fat and arterial health at age 10 years. Pediatr Obes 17(10): e12926.
  24. Monasso GS et al. (2022). Fetal and Childhood Exposure to Parental Tobacco Smoking and Arterial Health at Age 10 Years. Am J Hypertens 35(10): 867-74.
  25. Monasso GS et al. (2022). Infant weight growth patterns, childhood BMI, and arterial health at age 10 years. Obesity (Silver Spring) 30(3): 770-8.
  26. Monasso GS et al. (2022). Maternal plasma fatty acid patterns in mid-pregnancy and offspring epigenetic gestational age at birth. Epigenetics: 1-11.
  27. Munoz-Hernando J et al. (2022). Usefulness of the waist-to-height ratio for predicting cardiometabolic risk in children and its suggested boundary values. Clin Nutr 41(2): 508-16.
  28. Neumann A et al. (2022). Epigenome-wide contributions to individual differences in childhood phenotypes: a GREML approach. Clin Epigenetics 14(1): 53.
  29. Nordstrom T et al. (2022). Cohort Profile: 46 years of follow-up of the Northern Finland Birth Cohort 1966 (NFBC1966). Int J Epidemiol 50(6): 1786-7j.
  30. Pervjakova N et al. (2022). Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Hum Mol Genet 31(19): 3377-91.
  31. Pinot de Moira A et al. (2022). Associations of early-life pet ownership with asthma and allergic sensitization: A meta-analysis of more than 77,000 children from the EU Child Cohort Network. J Allergy Clin Immunol 150(1): 82-92.
  32. Poeran-Bahadoer SD et al. (2022). Influence of maternal vomiting during early pregnancy on school-age respiratory health. Pediatr Pulmonol 57(2): 367-75.
  33. Quezada-Pinedo HG et al. (2022). Ethnic differences in adverse iron status in early pregnancy: a cross-sectional population-based study. J Nutr Sci 11: e39.
  34. Ruiz-Arenas C et al. (2022). Identification of autosomal cis expression quantitative trait methylation (cis eQTMs) in children’s blood. Elife 11.
  35. Sammallahti S et al. (2022). Longitudinal associations of DNA methylation and sleep in children: a meta-analysis. Clin Epigenetics 14(1): 83.
  36. Solomon O et al. (2022). Meta-analysis of epigenome-wide association studies in newborns and children show widespread sex differences in blood DNA methylation. Mutat Res Rev Mutat Res 789: 108415.
  37. Taeubert MJ et al. (2022). Maternal iron status in early pregnancy and DNA methylation in offspring: an epigenome-wide meta-analysis. Clin Epigenetics 14(1): 59.
  38. Tobi EW et al. (2022). Maternal Glycemic Dysregulation During Pregnancy and Neonatal Blood DNA Methylation: Meta-analyses of Epigenome-Wide Association Studies. Diabetes Care 45(3): 614-23.
  39. Torres Toda M et al. (2022). Exposure to natural environments during pregnancy and birth outcomes in 11 European birth cohorts. Environ Int 170: 107648.
  40. van Meel ER et al. (2022). Early-life respiratory tract infections and the risk of school-age lower lung function and asthma: a meta-analysis of 150 000 European children. Eur Respir J 60(4).
  41. Vinther JL et al. (2022). Gestational age at birth and body size from infancy through adolescence: findings from analyses of individual data on 253,810 singletons in 16 birth cohort studies. medRxiv: 2022.06.01.22275859.
  42. Voerman E et al. (2022). Associations of maternal and infant metabolite profiles with foetal growth and the odds of adverse birth outcomes. Pediatr Obes 17(2): e12844.
  43. Vogelezang S et al. (2022). Genetics of early-life head circumference and genetic correlations with neurological, psychiatric and cognitive outcomes. BMC Med Genomics 15(1): 124.
  44. Watson D et al. (2022). A scoping review of nutritional interventions and policy guidelines in the interconception period for prevention of noncommunicable diseases. Reproductive, Female and Child Health 1(1): 18-41.
  45. Wiertsema CJ et al. (2022). Innovative approach for first-trimester fetal organ volume measurements using a Virtual Reality system: The Generation R Next Study. J Obstet Gynaecol Res 48(3): 599-609.
  46. Winkler TW et al. (2022). Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals. Commun Biol 5(1): 580.
  47. Wootton RE et al. (2022). Decline in attention-deficit hyperactivity disorder traits over the life course in the general population: trajectories across five population birth cohorts spanning ages 3 to 45 years. Int J Epidemiol 51(3): 919-30.
  48. Zugna D et al. (2022). Applied causal inference methods for sequential mediators. BMC Med Res Methodol 22(1): 301.


  1. Ahmed TB et al. (2021). Total Fatty Acid and Polar Lipid Species Composition of Human Milk. Nutrients 14(1).
  2. Alemany S et al. (2021). Prenatal and postnatal exposure to acetaminophen in relation to autism spectrum and attention-deficit and hyperactivity symptoms in childhood: Meta-analysis in six European population-based cohorts. Eur J Epidemiol 36(10): 993-1004.
  3. Ardura-Garcia C et al. (2021). ERS International Congress 2020: highlights from the Paediatric AssemblyERJ Open Res 7(1).
  4. Auvinen J et al. (2021). Systematic evaluation of the association between hemoglobin levels and metabolic profile implicates beneficial effects of hypoxia. Sci Adv 7(29).
  5. Bell JA et al. (2021). Sex differences in systemic metabolites at four life stages: cohort study with repeated metabolomics. BMC Med 19(1): 58.
  6. Birks LE et al. (2021). Radiofrequency electromagnetic fields from mobile communication: Description of modeled dose in brain regions and the body in European children and adolescentsEnviron Res 193: 110505.
  7. Brands B et al. (2021). Global e-Learning in Early Nutrition and Lifestyle for International Healthcare Professionals: Design and Evaluation of the Early Nutrition Specialist Programme (ENS)Nutrients 13(3).
  8. Cadman T et al. (2021). Joint associations of parental personality traits and socio‐economic position with trajectories of offspring depression: Findings from up to 6925 families in a UK birth cohort. JCPP Advances 1(3): e12028.
  9. Cadman T et al. (2021). The role of school enjoyment and connectedness in the association between depressive and externalising symptoms and academic attainment: Findings from a UK prospective cohort studyJ Affect Disord 295: 974-980.
  10. Chen LW et al. (2021). Associations of maternal dietary inflammatory potential and quality with offspring birth outcomes: An individual participant data pooled analysis of 7 European cohorts in the ALPHABET consortiumPLoS Med 18(1): e1003491.
  11. Chen LW et al. (2021). Maternal dietary quality, inflammatory potential and childhood adiposity: an individual participant data pooled analysis of seven European cohorts in the ALPHABET consortiumBMC Med 19(1): 33.
  12. Choedon T et al. (2021). Population estimates and determinants of severe maternal thinness in IndiaInt J Gynaecol Obstet 155(3): 380-397.
  13. Demmelmair H et al. (2021). Perinatal Polyunsaturated Fatty Acid Status and Obesity Risk. Nutrients 13(11).
  14. de Prado-Bert P et al. (2021). The early-life exposome and epigenetic age acceleration in childrenEnviron Int 155: 106683.
  15. El Marroun H et al. (2021). Alcohol use and brain morphology in adolescence: A longitudinal study in three different cohorts. Eur J Neurosci 54(6): 6012-26.
  16. Eriksson MD et al. (2021). Higher carotid-radial pulse wave velocity is associated with non-melancholic depressive symptoms in men – findings from Helsinki Birth Cohort StudyAnn Med 53(1): 531-40.
  17. Florian S et al. (2021). Parental migrant status and health inequalities at birth: The role of immigrant educational selectivity. Soc Sci Med 278: 113915.
  18. Geurtsen ML et al. (2021). Associations Between Intake of Sugar-Containing Beverages in Infancy With Liver Fat Accumulation at School AgeHepatology 73(2): 560-70.
  19. Geurtsen ML et al. (2021). Maternal Early-Pregnancy Glucose Concentrations and Liver Fat Among School-Age ChildrenHepatology.
  20. Gomez-Alonso MDC et al. (2021). DNA methylation and lipid metabolism: an EWAS of 226 metabolic measuresClin Epigenetics 13(1): 7.
  21. Gonzalez J. et al (2021). Metabolomic Signatures in Pediatric Crohn’s Disease Patients with Mild or Quiescent Disease Treated with Partial Enteral Nutrition: A Feasibility StudySLAS TECHNOLOGY 26(2): 165-177
  22. Grote V et al. (2021). Effect of milk protein content in Toddler formula on later BMI and obesity risk: protocol of the multicentre randomised controlled Toddler Milk Intervention (ToMI) trial. BMJ Open 11(12): e048290.
  23. Guerlich K et al. (2021). Sleep duration and problem behaviour in 8-year-old children in the Childhood Obesity ProjectEur Child Adolesc Psychiatry.
  24. Hartwig FP et al. (2021). Bias in two-sample Mendelian randomization when using heritable covariable-adjusted summary associations. Int J Epidemiol.
  25. Huang RC et al. (2021). Adiposity associated DNA methylation signatures in adolescents are related to leptin and perinatal factorsEpigenetics: 1-18.
  26. Hu C et al. (2021). A population-based study on associations of stool microbiota with atopic diseases in school-age children. J Allergy Clin Immunol 148(2): 612-20.
  27. Hu C et al. (2021). Association between nasal and nasopharyngeal bacterial colonization in early life and eczema phenotypesClin Exp Allergy 51(5): 716-25.
  28. Hughes RA et al. (2021). Combining Longitudinal Data From Different Cohorts to Examine the Life-Course Trajectory. Am J Epidemiol.
  29. Jacob CM et al. (2021). A systematic review and meta-analysis of school-based interventions with health education to reduce body mass index in adolescents aged 10 to 19 yearsInt J Behav Nutr Phys Act 18(1): 1.
  30. Jacob CM et al. (2021). Test, Trace and Learn: lessons about COVID-19 from young people Testare, tracciare e imparare: lezioni sul COVID-19 dai giovani. Epidemiol Prev 45(6): 441-442.
  31. Julvez J et al. (2021). Early life multiple exposures and child cognitive function: A multi-centric birth cohort study in six European countriesEnviron Pollut 284: 117404.
  32. Karhunen V et al. (2021). The link between attention deficit hyperactivity disorder (ADHD) symptoms and obesity-related traits: genetic and prenatal explanationsTransl Psychiatry 11(1): 455.
  33. Kurilshikov A et al. (2021). Large-scale association analyses identify host factors influencing human gut microbiome compositionNat Genet 53(2): 156-65.
  34. Larrosa S. et al (2021). Fibre Intake Is Associated with Cardiovascular Health in European ChildrenNutrients 13(1):12.
  35. Laru J et al. (2021). BMI in childhood and adolescence is associated with impaired reproductive function-a population-based cohort study from birth to age 50 years. Hum Reprod 36(11): 2948-61.
  36. Looman KIM et al. (2021). Increased Th22 cell numbers in a general pediatric population with filaggrin haploinsufficiency: The Generation R StudyPediatr Allergy Immunol 32(6): 1360-8.
  37. Lubczynska MJ et al. (2021). Air pollution exposure during pregnancy and childhood and brain morphology in preadolescentsEnviron Res 198: 110446.
  38. Luo M et al. (2021). Neonatal DNA methylation and childhood low prosocial behavior: An epigenome-wide association meta-analysisAm J Med Genet B Neuropsychiatr Genet 186(4): 228-41.
  39. Maitre L et al. (2021). Early-life environmental exposure determinants of child behavior in Europe: A longitudinal, population-based studyEnviron Int 153: 106523.
  40. Mensink-Bout SM et al. (2021). Cardio-metabolic risk factors during childhood in relation to lung function and asthmaPediatr Allergy Immunol 32(5): 945-52.
  41. Min JL et al. (2021). Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation. Nat Genet 53(9): 1311-21.
  42. Moccia C et al. (2021). Birthweight DNA methylation signatures in infant salivaClin Epigenetics 13(1): 57.
  43. Modi N et al. (2021). Health of women and children is central to covid-19 recoveryBMJ 373: n899.
  44. Monasso GS et al. (2021). Associations of circulating folate, vitamin B12 and homocysteine concentrations in early pregnancy and cord blood with epigenetic gestational age: the Generation R StudyClin Epigenetics 13(1): 95.
  45. Monasso GS et al. (2021). Associations of Early Pregnancy and Neonatal Circulating Folate, Vitamin B-12, and Homocysteine Concentrations with Cardiometabolic Risk Factors in Children at 10 y of AgeJ Nutr 151(6): 1628-36.
  46. Monasso GS et al. (2021). Epigenetic age acceleration and cardiovascular outcomes in school-age children: The Generation R Study. Clin Epigenetics 13(1): 205.
  47. Monasso GS et al. (2021). Vitamin B12, folate and homocysteine concentrations during pregnancy and early signs of atherosclerosis at school-age. Clin Nutr 40(9): 5133-40.
  48. Mulder RH et al. (2021). Epigenome-wide change and variation in DNA methylation in childhood: trajectories from birth to late adolescenceHum Mol Genet 30(1): 119-34.
  49. Nader JL et al. (2021). Cohort description: Measures of early-life behaviour and later psychopathology in the LifeCycle Project – EU Child Cohort Network. J Epidemiol.  Online ahead of print.
  50. Nedelec R et al. (2021). Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohortsInt J Obes (Lond) 45(2): 404-14.
  51. Newton-Tanzer E et al. (2021). Acute Metabolic Response in Adults to Toddler Milk Formulas with Alternating Higher and Lower Protein and Fat Contents, a Randomized Cross-Over Trial. Nutrients 13(9).
  52. Penkler M et al. (2021). Developmental Origins of Health and Disease, resilience and social justice in the COVID era. J Dev Orig Health Dis. Online ahead of print.
  53. Penova-Veselinovic B et al. (2021). DNA methylation patterns within whole blood of adolescents born from assisted reproductive technology are not different from adolescents born from natural conceptionHum Reprod 36(7): 2035-49.
  54. Pinot de Moira A et al. (2021). The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variablesEur J Epidemiol 36(5): 565-80.
  55. Polanska K et al. (2021). Dietary Quality and Dietary Inflammatory Potential During Pregnancy and Offspring Emotional and Behavioral Symptoms in Childhood: An Individual Participant Data Meta-analysis of Four European CohortsBiol Psychiatry 89(6): 550-9.
  56. Popovic M et al. (2021). Determination of saliva epigenetic age in infancy, and its association with parental socio-economic characteristics and pregnancy outcomesJ Dev Orig Health Dis, 12(2), 319-327.
  57. Quezada-Pinedo HG et al. (2021). Maternal iron status during early pregnancy and school-age, lung function, asthma, and allergy: The Generation R StudyPediatr Pulmonol 56(6): 1771-8.
  58. Quezada-Pinedo HG et al. (2021). Maternal Iron Status in Pregnancy and Child Health Outcomes after Birth: A Systematic Review and Meta-AnalysisNutrients 13(7).
  59. Rasella D et al. (2021). Developing an integrated microsimulation model for the impact of fiscal policies on child health in Europe: the example of childhood obesity in ItalyBMC Med 19(1): 310.
  60. Rijlaarsdam J et al. (2021). Genome-wide DNA methylation patterns associated with general psychopathology in childrenJ Psychiatr Res 140: 214-20.
  61. Ronkainen J et al. (2021). Maternal haemoglobin levels in pregnancy and child DNA methylation: a study in the pregnancy and childhood epigenetics consortiumEpigenetics: 1-13.
  62. Sammallahti S et al. (2021). Maternal anxiety during pregnancy and newborn epigenome-wide DNA methylationMol Psychiatry 26(6): 1832-45.
  63. Sammallahti S et al. (2021). Prenatal maternal and cord blood vitamin D concentrations and negative affectivity in infancy. Eur Child Adolesc Psychiatry.
  64. Sethi V et al. (2021). Screening and management options for severe thinness during pregnancy in IndiaInt J Gynaecol Obstet 155(3): 357-379.
  65. Sharp GC et al. (2021). Paternal body mass index and offspring DNA methylation: findings from the PACE consortiumInt J Epidemiol 50(4): 1297-315.
  66. Sirkka O et al. (2021). Dietary Patterns in Early Childhood and the Risk of Childhood Overweight: The GECKO Drenthe Birth Cohort. Nutrients 13(6).
  67. Taylor K et al. (2021). Effect of Maternal Prepregnancy/Early-Pregnancy Body Mass Index and Pregnancy Smoking and Alcohol on Congenital Heart Diseases: A Parental Negative Control StudyJ Am Heart Assoc 10(11): e020051.
  68. Ubalde-Lopez M et al. (2021). Working life, health and well-being of parents: a joint effort to uncover hidden treasures in European birth cohorts. Scand J Work Environ Health 47(7): 550-60.
  69. van den Dries MA et al. (2021). Prenatal Exposure to Nonpersistent Chemical Mixtures and Fetal Growth: A Population-Based StudyEnviron Health Perspect 129(11): 117008.
  70. van Dongen J et al. (2021). DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespanMol Psychiatry 26(6): 2148-62.
  71. Vehmeijer FOL et al. (2021). Associations of Hair Cortisol Concentrations With Cardiometabolic Risk Factors in ChildhoodJ Clin Endocrinol Metab 106(9): e3400-e13.
  72. Vrijheid M et al. (2021). Advancing tools for human early lifecourse exposome research and translation (ATHLETE): Project overview. Environ Epidemiol 5(5): e166.
  73. Wang G et al. (2021). Spirometric phenotypes from early childhood to young adulthood: a Chronic Airway Disease Early Stratification study. ERJ Open Res 7(4).
  74. Warembourg C et al. (2021). Urban environment during early-life and blood pressure in young childrenEnviron Int 146: 106174.
  75. Wiertsema CJ et al. (2021). First trimester fetal proportion volumetric measurements using a Virtual Reality approachPrenat Diagn 41(7): 868-76.
  76. Zou R et al. (2021). Maternal polyunsaturated fatty acids during pregnancy and offspring brain development in childhood. Am J Clin Nutr 114(1): 124-33.


  1. Al Rashid K et al. (2020). Association of the serum metabolomic profile by nuclear magnetic resonance spectroscopy with sperm parameters: a cross-sectional study of 325 men. F S Sci 1(2): 142-60.
  2. Beaumont RN et al. (2020). Common maternal and fetal genetic variants show expected polygenic effects on risk of small- or large-for-gestational-age (SGA or LGA), except in the smallest 3% of babiesPLoS Genet 16(12): e1009191.
  3. Bjerregaard LG et al. (2020). Possible Modifiers of the Association Between Change in Weight Status From Child Through Adult Ages and Later Risk of Type 2 Diabetes. Diabetes Care 43(5): 1000-7.
  4. Cabre-Riera A et al. (2020). Estimated whole-brain and lobe-specific radiofrequency electromagnetic fields doses and brain volumes in preadolescents. Environ Int 142: 105808.
  5. Caramaschi D. et al. (2020). Epigenome-wide association study of seizures in childhood and adolescence. Clin Epigenetics. 12(1): 8.
  6. Dall’ Aglio L et al. (2020). Epigenome-wide associations between observed maternal sensitivity and offspring DNA methylation: a population-based prospective study in children. Psychol Med: 1-11.
  7. Ehakeem A et al. (2020). Age at puberty and accelerometer-measured physical activity: Findings from two independent UK cohortsAnn Hum Biol 47(4): 391-9.
  8. El Marroun H et al. (2020). Association of Gestational Age at Birth With Brain MorphometryJAMA Pediatr 174(12): 1149-58.
  9. Geurtsen ML et al. (2020). Associations of maternal early-pregnancy blood glucose and insulin concentrations with DNA methylation in newbornsClin Epigenetics 12(1): 134.
  10. Hamoen M et al. (2020). Development of a prediction model to target screening for high blood pressure in childrenPrev Med 132: 105997.
  11. Hanson M. et al. (2020). New guidelines, position paper, and insights from the FIGO Pregnancy Obesity and Nutrition Initiative (PONI). Int J Gynaecol Obstet. 151(S1), 1-3.
  12. Hu C et al. (2020). Associations of eczema phenotypes with emotional and behavioural problems from birth until school age. The Generation R StudyBr J Dermatol 183(2): 311-20.
  13. Hu C et al. (2020). Eczema phenotypes and risk of allergic and respiratory conditions in school age children. Clin Transl Allergy 10: 7.
  14. Jacob C.M. et al. (2020). Building resilient societies after COVID-19 requires multifaceted investment targeting maternal, neonatal and child health. Lancet Public Health. Online first: 21 September 2020.
  15. Jacob C.M. et al. (2020). Implications of the Developmental Origins of Health and Disease (DOHaD) concept for policy-making. Curr Opin Endocr Metab Res. 13: 20-27.
  16. Jacob C.M. et al. (2020). Prevention on non-communicable diseases by interventions in the preconception period: A FIGO position paper for action by the healthcare practitioners. Int J Gynaecol Obstet. 151(S1), 6-15.
  17. Jaddoe V.W.V. et al. (2020). 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. 35(7): 709-724.
  18. Kirchberg F.F. et al. (2020). Impact of infant protein supply and other early life factors on plasma metabolome at 5.5 and 8 years of age: a randomized trial. Int J Obesity. 44: 69-81.
  19. Koopman-Verhoeff ME et al. (2020). Genome-wide DNA methylation patterns associated with sleep and mental health in children: a population-based study. J Child Psychol Psychiatry 61(10): 1061-9.
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