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Girchenko P, Lahti-Pulkkinen M, Laivuori H, Kajantie E, Räikkönen K. Maternal antenatal depression is associated with metabolic alterations that predict birth outcomes, neurodevelopment and mental health of the child. Biol Psychiatry 2024:S0006-3223(24)01509-9. [PMID: 39127233 DOI: 10.1016/j.biopsych.2024.07.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 07/04/2024] [Accepted: 07/30/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Evidence regarding metabolic alterations associated with maternal antenatal depression (AD) is limited, and their role as potential biomarkers improving the prediction of AD and adverse child birth, neurodevelopmental, and mental health outcomes remains unexplored. METHODS In a cohort of 331 mother-child dyads, we studied associations between AD (history of medical register diagnoses and/or Center of Epidemiological Studies Depression Scale score during pregnancy≥20) and 95 metabolic measures analyzed three times during pregnancy. We tested whether the AD-related metabolic measures increased variance explained in AD over its risk factors, and in child birth, neurodevelopmental, and mental health outcomes over AD. We replicated the findings in a cohort of 416 mother-child dyads. RESULTS Elastic net regression identified 15 metabolic measures that collectively explained 25% (p<0.0001) of variance in AD, including amino and fatty acids, glucose, inflammation, and lipids. These metabolic measures increased the variance explained in AD over its risk factors (32.3%,p<0.0001 vs. 12.6%,p=0.004), and in child gestational age (9.0%,p<0.0001 vs. 0.7%, p=0.34), birth weight(9.0%,p=0.03 vs. 0.7%, p=0.33), developmental milestones at the age of 2.3-5.7 years(21.0%,p=0.002 vs. 11.6%,p<0.001) and any mental or behavioral disorder by the age of 13.1-16.8 years(25.2%,p=0.03 vs. 5.0%,p=0.11) over AD, child sex and age. These findings replicated in the independent cohort. CONCLUSIONS AD is associated with alterations in 15 metabolic measures, which collectively improve the prediction of AD over its risk factors, and birth, neurodevelopmental and mental health outcomes of the child over AD. These metabolic measures may become biomarkers identifying at-risk mothers and children for personalized interventions.
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Affiliation(s)
- Polina Girchenko
- Clinical Medicine Research Unit, MRC Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland; Department of Psychology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
| | - Marius Lahti-Pulkkinen
- Clinical Medicine Research Unit, MRC Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland; Finnish Institute for Health and Welfare, Helsinki, Finland; Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Hannele Laivuori
- Department of Obstetrics and Gynecology, Tampere University Hospital, The Wellbeing Services County of Pirkanmaa, Finland; Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Eero Kajantie
- Clinical Medicine Research Unit, MRC Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland; Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Katri Räikkönen
- Department of Psychology, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki
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Leonard KM, Schmiedecke SS, Talley RL, Damicis JR, Walton RB, Burd I, Napolitano PG, Ieronimakis N. Maternal obesity alters fetal neuroinflammation in a murine model of preterm birth. AJOG GLOBAL REPORTS 2024; 4:100361. [PMID: 39072339 PMCID: PMC11278798 DOI: 10.1016/j.xagr.2024.100361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Preterm birth from intrauterine infection is a leading cause of neonatal neurologic morbidity. Likewise, maternal obesity is associated with intra-amniotic infection and inflammation. Whether maternal obesity is a risk factor for fetal brain injury that occurs with premature birth remains unknown. This study hypothesized that maternal obesity intensifies fetal neuroinflammation in the setting of premature delivery. OBJECTIVE This study aimed to examine the influence of maternal obesity on perinatal neuroinflammatory responses that arise with preterm birth using a murine model. STUDY DESIGN Dams with obesity were generated via a high-fat diet that was maintained throughout pregnancy. In parallel, dams without obesity (normal) received a control diet. All dams were paired with males on normal diet. Pregnant dams were randomized to receive an intrauterine administration of bacterial endotoxin (lipopolysaccharide) or the vehicle (phosphate-buffered saline) on embryo day 15.5 of what is typically a 19- to 21-day gestation. Fetal brains were harvested 6 hours after intrauterine administrations, and the expressions of key inflammatory cytokines (Il1b, Il6, and Tnf) and panels of metabolic, immune, and inflammatory genes were analyzed. RESULTS With the phosphate-buffered saline, there was no difference in gene expression related to maternal obesity. There were substantial differences in Il6 and immune/inflammatory expression profiles in fetal brains from dams with obesity vs normal dams that received lipopolysaccharide. Few differences were observed among the metabolic genes examined under these conditions. The gene expression pattern associated with maternal obesity correlated with pathways related to white matter injury. CONCLUSION The expression of neuroinflammatory markers instigated by bacterial endotoxin via intrauterine lipopolysaccharide was greater in embryo brains obtained from dams with obesity. Expression profiles suggest that in combination with intrauterine inflammation, maternal obesity may increase the risk of fetal white matter injury. Further investigation is warranted to understand the relationship between maternal health and neurologic outcomes associated with prematurity.
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Affiliation(s)
- Katherine M. Leonard
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Madigan Army Medical Center, Tacoma, WA (Leonard, Schmiedecke, Walton, and Ieronimakis)
| | - Stacey S. Schmiedecke
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Madigan Army Medical Center, Tacoma, WA (Leonard, Schmiedecke, Walton, and Ieronimakis)
| | - Rebecca L. Talley
- Department of Clinical Investigation, Madigan Army Medical Center, Tacoma, WA (Talley, Damicis, and Ieronimakis)
| | - Jennifer R. Damicis
- Department of Clinical Investigation, Madigan Army Medical Center, Tacoma, WA (Talley, Damicis, and Ieronimakis)
| | - Robert B. Walton
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Madigan Army Medical Center, Tacoma, WA (Leonard, Schmiedecke, Walton, and Ieronimakis)
| | - Irina Burd
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Maryland, Baltimore, MD (Burd)
| | - Peter G. Napolitano
- Department of Obstetrics and Gynecology, University of Washington Medical Center, Seattle, WA (Napolitano)
| | - Nicholas Ieronimakis
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Madigan Army Medical Center, Tacoma, WA (Leonard, Schmiedecke, Walton, and Ieronimakis)
- Department of Clinical Investigation, Madigan Army Medical Center, Tacoma, WA (Talley, Damicis, and Ieronimakis)
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Girchenko P, Lahti-Pulkkinen M, Hämäläinen E, Laivuori H, Villa PM, Kajantie E, Räikkönen K. Associations of polymetabolic risk of high maternal pre-pregnancy body mass index with pregnancy complications, birth outcomes, and early childhood neurodevelopment: findings from two pregnancy cohorts. BMC Pregnancy Childbirth 2024; 24:78. [PMID: 38267899 PMCID: PMC10807109 DOI: 10.1186/s12884-024-06274-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/15/2024] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND A substantial proportion of maternal pregnancy complications, adverse birth outcomes and neurodevelopmental delay in children may be attributable to high maternal pre-pregnancy Body Mass Index (BMI). However, BMI alone is insufficient for the identification of all at-risk mothers and children as many women with non-obesity(< 30 kg/m2) or normal weight(18.5-24.99 kg/m2) and their children may suffer from adversities. Evidence suggests that BMI-related metabolic changes during pregnancy may predict adverse mother-child outcomes better than maternal anthropometric BMI. METHODS In a cohort of 425 mother-child dyads, we identified maternal BMI-defined metabolome based on associations of 95 metabolic measures measured three times during pregnancy with maternal pre-pregnancy BMI. We then examined whether maternal BMI-defined metabolome performed better than anthropometric BMI in predicting gestational diabetes, hypertensive disorders, gestational weight gain (GWG), Caesarian section delivery, child gestational age and weight at birth, preterm birth, admission to neonatal intensive care unit (NICU), and childhood neurodevelopment. Based on metabolic measures with the highest contributions to BMI-defined metabolome, including inflammatory and glycolysis-related measures, fatty acids, fluid balance, ketone bodies, lipids and amino acids, we created a set of maternal high BMI-related polymetabolic risk scores (PMRSs), and in an independent replication cohort of 489 mother-child dyads tested their performance in predicting the same set of mother-child outcomes in comparison to anthropometric BMI. RESULTS BMI-defined metabolome predicted all of the studied mother-child outcomes and improved their prediction over anthropometric BMI, except for gestational hypertension and GWG. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarian section delivery, admission to NICU, lower gestational age at birth, lower cognitive development score of the child, and improved their prediction over anthropometric BMI. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarean section delivery, NICU admission and child's lower gestational age at birth even at the levels of maternal non-obesity and normal weight. CONCLUSIONS Maternal BMI-defined metabolome improves the prediction of pregnancy complications, birth outcomes, and neurodevelopment in children over anthropometric BMI. The novel, BMI-related PMRSs generated based on the BMI-defined metabolome have the potential to become biomarkers identifying at-risk mothers and their children for timely targeted interventions even at the level of maternal non-obesity and normal weight.
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Affiliation(s)
- Polina Girchenko
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, (Haartmaninkatu 3), P.O BOX 21, 00014, Helsinki, Finland.
- Clinical Medicine Research Unit, MRC Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
| | - Marius Lahti-Pulkkinen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, (Haartmaninkatu 3), P.O BOX 21, 00014, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Esa Hämäläinen
- Department of Clinical Chemistry, University of Eastern Finland, Kuopio, Finland
| | - Hannele Laivuori
- Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Pia M Villa
- Obstetrics and Gynaecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Eero Kajantie
- Finnish Institute for Health and Welfare, Public Health Unit, Helsinki, Finland
- Clinical Medicine Research Unit, MRC Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, (Haartmaninkatu 3), P.O BOX 21, 00014, Helsinki, Finland
- Obstetrics and Gynaecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
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Che X, Roy A, Bresnahan M, Mjaaland S, Reichborn-Kjennerud T, Magnus P, Stoltenberg C, Shang Y, Zhang K, Susser E, Fiehn O, Lipkin WI. Metabolomic analysis of maternal mid-gestation plasma and cord blood in autism spectrum disorders. Mol Psychiatry 2023; 28:2355-2369. [PMID: 37037873 DOI: 10.1038/s41380-023-02051-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 04/12/2023]
Abstract
The discovery of prenatal and neonatal molecular biomarkers has the potential to yield insights into autism spectrum disorder (ASD) and facilitate early diagnosis. We characterized metabolomic profiles in ASD using plasma samples collected in the Norwegian Autism Birth Cohort from mothers at weeks 17-21 gestation (maternal mid-gestation, MMG, n = 408) and from children on the day of birth (cord blood, CB, n = 418). We analyzed associations using sex-stratified adjusted logistic regression models with Bayesian analyses. Chemical enrichment analyses (ChemRICH) were performed to determine altered chemical clusters. We also employed machine learning algorithms to assess the utility of metabolomics as ASD biomarkers. We identified ASD associations with a variety of chemical compounds including arachidonic acid, glutamate, and glutamine, and metabolite clusters including hydroxy eicospentaenoic acids, phosphatidylcholines, and ceramides in MMG and CB plasma that are consistent with inflammation, disruption of membrane integrity, and impaired neurotransmission and neurotoxicity. Girls with ASD have disruption of ether/non-ether phospholipid balance in the MMG plasma that is similar to that found in other neurodevelopmental disorders. ASD boys in the CB analyses had the highest number of dysregulated chemical clusters. Machine learning classifiers distinguished ASD cases from controls with area under the receiver operating characteristic (AUROC) values ranging from 0.710 to 0.853. Predictive performance was better in CB analyses than in MMG. These findings may provide new insights into the sex-specific differences in ASD and have implications for discovery of biomarkers that may enable early detection and intervention.
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Affiliation(s)
- Xiaoyu Che
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ayan Roy
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Michaeline Bresnahan
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | | | - Ted Reichborn-Kjennerud
- Norwegian Institute of Public Health, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Per Magnus
- Norwegian Institute of Public Health, Oslo, Norway
| | - Camilla Stoltenberg
- Norwegian Institute of Public Health, Oslo, Norway
- Department of Global Public Health, University of Bergen, Bergen, Norway
| | - Yimeng Shang
- Department of Public Health Sciences, College of Medicine, Penn State University, State College, PA, 16801, USA
| | - Keming Zhang
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ezra Susser
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Oliver Fiehn
- UC Davis Genome Center-Metabolomics, University of California, Davis, CA, USA
| | - W Ian Lipkin
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA.
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.
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5
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Kelly RS, Lee-Sarwar K, Chen YC, Laranjo N, Fichorova R, Chu SH, Prince N, Lasky-Su J, Weiss ST, Litonjua AA. Maternal Inflammatory Biomarkers during Pregnancy and Early Life Neurodevelopment in Offspring: Results from the VDAART Study. Int J Mol Sci 2022; 23:ijms232315249. [PMID: 36499584 PMCID: PMC9739845 DOI: 10.3390/ijms232315249] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 11/30/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Maternal infection and stress during the prenatal period have been associated with adverse neurodevelopmental outcomes in offspring, suggesting that biomarkers of increased inflammation in the mothers may associate with poorer developmental outcomes. In 491 mother-child pairs from the Vitamin D Antenatal Asthma Reduction Trial (VDAART), we investigated the association between maternal levels of two inflammatory biomarkers; interleukin-8 (IL-8) and C-Reactive Protein (CRP) during early (10-18 wks) and late (32-38 wks) pregnancy with offspring scores in the five domains of the Ages and Stages Questionnaire, a validated screening tool for assessing early life development. We identified a robust association between early pregnancy IL-8 levels and decreased fine-motor (β: -0.919, 95%CI: -1.425, -0.414, p = 3.9 × 10-4) and problem-solving skills at age two (β: -1.221, 95%CI: -1.904, -0.414, p = 4.9 × 10-4). Associations between IL-8 with other domains of development and those for CRP did not survive correction for multiple testing. Similarly, while there was some evidence that the detrimental effects of early pregnancy IL-8 were strongest in boys and in those who were not breastfed, these interactions were not robust to correction for multiple testing. However, further research is required to determine if other maternal inflammatory biomarkers associate with offspring neurodevelopment and work should continue to focus on the management of factors leading to increases in IL-8 levels in pregnant women.
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Affiliation(s)
- Rachel S. Kelly
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Correspondence:
| | - Kathleen Lee-Sarwar
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Allergy and Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02467, USA
| | - Yih-Chieh Chen
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Allergy and Clinical Immunology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02467, USA
| | - Nancy Laranjo
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Raina Fichorova
- Laboratory of Genital Tract Biology, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Su H. Chu
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nicole Prince
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Scott T. Weiss
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children’s Hospital at Strong, University of Rochester Medical Center, Rochester, NY 14642, USA
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Dow C, Lorthe E, Marchand-Martin L, Galera C, Tafflet M, Ancel PY, Charles MA, Heude B. Maternal pre-pregnancy obesity and offspring hyperactivity-inattention symptoms at 5 years in preterm and term children: a multi-cohort analysis. Sci Rep 2022; 12:18190. [PMID: 36307528 PMCID: PMC9616941 DOI: 10.1038/s41598-022-22750-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 10/19/2022] [Indexed: 12/31/2022] Open
Abstract
The objective of this study was to determine the relationship between maternal pre-pregnancy body mass index (BMI) and child hyperactivity-inattention symptoms (HIS) at 5 years, including preterm and term-born children, and to determine whether this association varied with gestational age. Maternal pre-pregnancy BMI and offspring HIS were assessed in 10,898 participants born ≥ 33 weeks of gestation from the ELFE cohort and 2646 children born between 23 and 34 weeks from the EPIPAGE 2 cohort. Reported pre-pregnancy weight (kg) and measured height (m) were collected from mothers at inclusion and used to classify BMI (kg/m2). Child HIS were evaluated using the Strengths and Difficulties Questionnaire around 5 years of age. Logistic regression estimated odds ratios (OR) of a high HIS score (≥ 90th percentile) in the ELFE cohort and generalized estimated equations were used in EPIPAGE 2 to account for non-independence of multiple births. As a negative control, paternal BMI was also considered as an exposure of interest in sensitivity analyses. Maternal pre-pregnancy obesity and overweight were associated with child HIS at 5 years in ELFE (adjusted OR [aOR] for obesity 1.27 [1.06, 1.53]; overweight aOR 1.16 [1.00, 1.36]) and pre-pregnancy obesity was associated with high HIS scores in preterm infants of EPIPAGE 2 (aOR 1.48 [1.06, 2.08]). In ELFE, the magnitude of the association increased with decreasing gestational age (interaction p = 0.02). High maternal pre-pregnancy BMI is associated with greater likelihood of high HIS scores in both at-term and preterm children at 5 years of age.
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Affiliation(s)
- Courtney Dow
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Elsa Lorthe
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France ,grid.150338.c0000 0001 0721 9812Unit of Population Epidemiology, Department of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Laetitia Marchand-Martin
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Cédric Galera
- grid.412041.20000 0001 2106 639XInserm, Bordeaux Population Health Center, UMR 1219, Univ. Bordeaux, 33000 Bordeaux, France ,Centre Hospitalier Perrens, Bordeaux, France ,Unit on Children’s Psychosocial Maladjustment, Montreal, QC Canada
| | - Muriel Tafflet
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Pierre-Yves Ancel
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Marie-Aline Charles
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
| | - Barbara Heude
- grid.508487.60000 0004 7885 7602Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Université Paris Cité, 75004 Paris, France
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