Abstract

BackgroundExposures during the prenatal period may have lasting effects on maternal and child health outcomes. To better understand the effects of the in utero environment on children’s short- and long-term health, large representative pregnancy cohorts with comprehensive information on a broad range of environmental influences (including biological and behavioral) and the ability to link to prenatal, child and maternal health outcomes are needed. The Research Program on Genes, Environment and Health (RPGEH) pregnancy cohort at Kaiser Permanente Northern California (KPNC) was established to create a resource for conducting research to better understand factors influencing women’s and children’s health. Recruitment is integrated into routine clinical prenatal care at KPNC, an integrated health care delivery system. We detail the study design, data collection, and methodologies for establishing this cohort. We also describe the baseline characteristics and the cohort’s representativeness of the underlying pregnant population in KPNC.MethodsWhile recruitment is ongoing, as of October 2014, the RPGEH pregnancy cohort included 16,977 pregnancies (53 % from racial and ethnic minorities). RPGEH pregnancy cohort participants consented to have blood samples obtained in the first trimester (mean gestational age 9.1 weeks ± 4.2 SD) and second trimester (mean gestational age 18.1 weeks ± 5.5 SD) to be stored for future use. Women were invited to complete a questionnaire on health history and lifestyle. Information on women’s clinical and health assessments before, during and after pregnancy and women and children’s health outcomes are available in the health system’s electronic health records, which also allows long-term follow-up.DiscussionThis large, racially- and ethnically-diverse cohort of pregnancies with prenatal biospecimens and clinical data is a valuable resource for future studies on in utero environmental exposures and maternal and child perinatal and long term health outcomes. The baseline characteristics of RPGEH Pregnancy Cohort demonstrate that it is highly representative of the underlying population living in the broader community in Northern California.Electronic supplementary materialThe online version of this article (doi:10.1186/s12884-016-1150-2) contains supplementary material, which is available to authorized users.

Highlights

  • Exposures during the prenatal period may have lasting effects on maternal and child health outcomes

  • Emerging evidence supports the notion that the prenatal period is a critical developmental window during which in utero exposures may have lasting effects on a child’s future health [1, 2]

  • We present preliminary data on the baseline characteristics of the cohort to demonstrate its racial-ethnic diversity and the prevalence of several perinatal complications of interest, as well as its representativeness with regard to the underlying population of pregnancies at Kaiser Permanente Northern California (KPNC)

Read more

Summary

Introduction

Exposures during the prenatal period may have lasting effects on maternal and child health outcomes. To better understand the effects of the in utero environment on children’s short- and long-term health, large representative pregnancy cohorts with comprehensive information on a broad range of environmental influences (including biological and behavioral) and the ability to link to prenatal, child and maternal health outcomes are needed. Large studies with multiple measurements of biomarkers during pregnancy are needed to better measure perinatal exposures and to understand the etiologically relevant period of the effects of exposures on perinatal outcomes. To fully understand how the in utero environment influences the short- and long-term health of women and their children, large representative study populations with comprehensive information on a broad range of factors, including biomarkers, medical conditions, medications, nutrition, physical activity and environmental exposures, are needed

Objectives
Methods
Findings
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call