3D Cohort Study: The Integrated Research Network in Perinatology of Quebec and Eastern Ontario

William D Fraser, Gabriel D Shapiro, François Audibert, Lise Dubois, Jean-Charles Pasquier, Pierre Julien, Anick Bérard, Gina Muckle, Jacquetta Trasler, Richard E Tremblay, Haim Abenhaim, Michel Welt, Marie-Josée Bédard, François Bissonnette, Emmanuel Bujold, Robert Gagnon, Jacques L Michaud, Isabelle Girard, Jean-Marie Moutquin, Isabelle Marc, Patricia Monnier, Jean R Séguin, Zhong-Cheng Luo, 3D Study Group, William D Fraser, Gabriel D Shapiro, François Audibert, Lise Dubois, Jean-Charles Pasquier, Pierre Julien, Anick Bérard, Gina Muckle, Jacquetta Trasler, Richard E Tremblay, Haim Abenhaim, Michel Welt, Marie-Josée Bédard, François Bissonnette, Emmanuel Bujold, Robert Gagnon, Jacques L Michaud, Isabelle Girard, Jean-Marie Moutquin, Isabelle Marc, Patricia Monnier, Jean R Séguin, Zhong-Cheng Luo, 3D Study Group

Abstract

Background: The 3D Cohort Study (Design, Develop, Discover) was established to help bridge knowledge gaps about the links between various adverse exposures during pregnancy with birth outcomes and later health outcomes in children.

Methods: Pregnant women and their partners were recruited during the first trimester from nine sites in Quebec and followed along with their children through to 2 years of age. Questionnaires were administered during pregnancy and post-delivery to collect information on demographics, mental health and life style, medical history, psychosocial measures, diet, infant growth, and neurodevelopment. Information on the delivery and newborn outcomes were abstracted from medical charts. Biological specimens were collected from mothers during each trimester, fathers (once during the pregnancy), and infants (at delivery and 2 years of age) for storage in a biological specimen bank.

Results: Of the 9864 women screened, 6348 met the eligibility criteria and 2366 women participated in the study (37% of eligible women). Among women in the 3D cohort, 1721 of their partners (1704 biological fathers) agreed to participate (73%). Two thousand two hundred and nineteen participants had a live singleton birth (94%). Prenatal blood and urine samples as well as vaginal secretions were collected for ≥98% of participants, cord blood for 81% of livebirths, and placental tissue for 89% of livebirths.

Conclusions: The 3D Cohort Study combines a rich bank of multiple biological specimens with extensive clinical, life style, and psychosocial data. This data set is a valuable resource for studying the developmental etiology of birth and early childhood neurodevelopmental outcomes.

Keywords: adverse birth outcomes; biological markers; infant development; pregnancy cohort study.

© 2016 The Authors. Paediatric and Perinatal Epidemiology published by John Wiley & Sons Ltd.

References

    1. Selevan SG, Kimmel CA, Mendola P. Identifying critical windows of exposure for children's health. Environmental Health Perspectives 2000; 108(Suppl 3):451–455.
    1. Olsen J, Melbye M, Olsen SF, Sorensen TI, Aaby P, Andersen AM, et al The Danish National Birth Cohort–its background, structure and aim. Scandinavian Journal of Public Health 2001; 29:300–307.
    1. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. Journal of Health and Social Behavior 1983; 24:385–396.
    1. Dunkel‐Schetter C. Maternal stress and preterm delivery. Prenatal and Neonatal Medicine 1998; 3:39–42.
    1. Radloff L. The CES‐D scale: a self‐report depression scale for research in the general population. Applied Psychological Measurement 1977; 1:385–401.
    1. Rosenberg M. Society and Adolescent Self Image. Princeton, NJ: Princeton University Press, 1965.
    1. Scheier MF, Carver CS. Optimism, coping, and health: assessment and implications of generalized outcome expectancies. Health Psychology 1985; 4:219–247.
    1. Brennan K, Clark C, Shaver P. Self‐report measurement of adult romantic attachment: an integrative overview In: Attachment Theory and Close Relationships. Editors: Simpson JA, Rholes WS. New York: Guilford Press, 1998; pp. 46–76.
    1. Pearlin LI, Schooler C. The structure of coping. Journal of Health and Social Behavior 1978; 19:2–21.
    1. Bayley N. Bayley Scales of Infant and Toddler Development. Technical Manual, 3rd edn San Antonio, TX: Harcourt Assessment, 2006.
    1. Dunn W, Daniels DB. Initial development of the infant/toddler sensory profile. Journal of Early Intervention 2002; 25:27–41.
    1. Fenson L, Dale P, Reznick J, Thal D, Bates E, Hartung J, et al The MacArthur Communicative Development Inventories: User's Guide and Technical Manual. San Diego: Singular Publishing Group, 1993.
    1. Statistics Canada . Low income cut‐offs. 2013. [last accessed November 2014].
    1. Kaplan BJ, Giesbrecht GF, Leung BM, Field CJ, Dewey D, Bell RC, et al The Alberta Pregnancy Outcomes and Nutrition (APrON) cohort study: rationale and methods. Maternal & Child Nutrition 2014; 10:44–60.
    1. Bornehag CG, Moniruzzaman S, Larsson M, Lindstrom CB, Hasselgren M, Bodin A, et al The SELMA study: a birth cohort study in Sweden following more than 2000 mother‐child pairs. Paediatric and Perinatal Epidemiology. 2012; 26:456–467.
    1. Berard A, Sheehy O. The Quebec Pregnancy Cohort–prevalence of medication use during gestation and pregnancy outcomes. PLoS ONE 2014; 9:e93870.
    1. Gracie SK, Lyon AW, Kehler HL, Pennell CE, Dolan SM, McNeil DA, et al All Our Babies Cohort Study: recruitment of a cohort to predict women at risk of preterm birth through the examination of gene expression profiles and the environment. BMC Pregnancy and Childbirth 2010; 10:87.
    1. Russell E, Koren G, Rieder M, Van Uum S. Hair cortisol as a biological marker of chronic stress: current status, future directions and unanswered questions. Psychoneuroendocrinology 2012; 37:589–601.
    1. Heijmans BT, Tobi EW, Lumey LH, Slagboom PE. The epigenome: archive of the prenatal environment. Epigenetics 2009; 4:526–531.
    1. Fanos V, Van den Anker J, Noto A, Mussap M, Atzori L. Metabolomics in neonatology: fact or fiction? Seminars in Fetal & Neonatal Medicine. 2013; 18:3–12.
    1. Gracie S, Pennell C, Ekman‐Ordeberg G, Lye S, McManaman J, Williams S, et al An integrated systems biology approach to the study of preterm birth using “‐omic” technology–a guideline for research. BMC Pregnancy and Childbirth 2011; 11:71.
    1. Paulson JF, Bazemore SD. Prenatal and postpartum depression in fathers and its association with maternal depression: a meta‐analysis. Journal of the American Medical Association. 2010; 303:1961–1969.
    1. Benyamin B, Visscher PM, McRae AF. Family‐based genome‐wide association studies. Pharmacogenomics 2009; 10:181–190.
    1. Nohr EA, Frydenberg M, Henriksen TB, Olsen J. Does low participation in cohort studies induce bias? Epidemiology 2006; 17:413–418.
    1. Statistics Canada . Live births, by birth weight and sex. 2012. ; [last accessed May 2014].
    1. Institut de la statistique Québec . Naissances et fécondité. 2015. [last accessed June 2016].
    1. What Mothers Say: The Canadian Maternity Experiences Survey. 2009. [last accessed May 2010].
    1. Chasan‐Taber L, Schmidt MD, Roberts DE, Hosmer D, Markenson G, Freedson PS. Development and validation of a pregnancy physical activity questionnaire. Medicine and Science in Sports and Exercise 2004; 36:1750–1760.
    1. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Research 1989; 28:193–213.
    1. Norton R. Measuring marital quality ‐ a critical‐look at the dependent variable. Journal of Marriage and Family 1983; 45:141–151.
    1. Karasek R, Gordon G, Piotrowski C. The Job Content Instrument: Questionnaire and User's Guide. Los Angeles: Department of Industrial and Systems Engineering, University of Southern California, 1986.
    1. Lobel M, Dunkel‐Schetter C, Scrimshaw SC. Prenatal maternal stress and prematurity: a prospective study of socioeconomically disadvantaged women. Health Psychology 1992; 11:32–40.
    1. Boivin M, Perusse D, Dionne G, Saysset V, Zoccolillo M, Tarabulsy GM, et al The genetic‐environmental etiology of parents' perceptions and self‐assessed behaviours toward their 5‐month‐old infants in a large twin and singleton sample. Journal of Child Psychology and Psychiatry 2005; 46:612–630.
    1. Bates JE, Freeland CA, Lounsbury ML. Measurement of infant difficultness. Child Development 1979; 50:794–803.
    1. Kleinman JM, Robins DL, Ventola PE, Pandey J, Boorstein HC, Esser EL, et al The modified checklist for autism in toddlers: a follow‐up study investigating the early detection of autism spectrum disorders. Journal of Autism and Developmental Disorders 2008; 38:827–839.

Source: PubMed

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