IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0217830.html
   My bibliography  Save this article

Impact of prenatal exposure to benzodiazepines and z-hypnotics on behavioral problems at 5 years of age: A study from the Norwegian Mother and Child Cohort Study

Author

Listed:
  • Lene Maria Sundbakk
  • Mollie Wood
  • Jon Michael Gran
  • Hedvig Nordeng

Abstract

Many women experience anxiety or sleep disorders during pregnancy and require pharmacological treatment with benzodiazepines (BZDs) or z-hypnotics. Limited information is currently available on how prenatal exposure to these medications affects behavioral problems in children over the long term. Therefore, from a public health perspective, this issue is highly important. The present study aimed to determine whether prenatal exposure to BZDs and z-hypnotics affected externalizing and internalizing behavior problems in children at age 5 years. This study was based on The Norwegian Mother and Child Cohort Study and The Medical Birth Registry of Norway. The final study population included data for 36 401 children, from questionnaires completed by the mothers throughout the 5-year follow up. Children’s behaviors were measured at age 5, based on parental responses to The Child Behavior Checklist. Children T-scores of 63 or above were considered to indicate clinically relevant behavior problems. We applied inverse probability of treatment weighting (IPTW) and log-binomial regression models to estimate risk ratios (RRs) and bootstrapped 95% confidence intervals (CIs) with censoring weights to account for loss during follow-up. Several sensitivity analyses were performed to assess the robustness of the main results. The final sample included 273 (0.75%) children that were exposed to BZDs and/or z-hypnotics during pregnancy. The main, IPTW and censoring weighted analyses showed that prenatal exposure to BZD and/or z-hypnotics increased the risks of internalizing behavioral problems (RR: 1.35, 95% CI: 0.73–2.49) and externalizing behavioral problems (RR: 1.51, 95% CI: 0.86–2.64). However, based on sensitivity analyses, we concluded that the risks of displaying externalizing and internalizing problems at 5 years of age did not significantly increase after prenatal exposure to BZDs and/or z-hypnotics. Instead, the sensitivity analyses suggested that residual confounding and selection bias might explain the increased risks observed in the main analyses.

Suggested Citation

  • Lene Maria Sundbakk & Mollie Wood & Jon Michael Gran & Hedvig Nordeng, 2019. "Impact of prenatal exposure to benzodiazepines and z-hypnotics on behavioral problems at 5 years of age: A study from the Norwegian Mother and Child Cohort Study," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-15, June.
  • Handle: RePEc:plo:pone00:0217830
    DOI: 10.1371/journal.pone.0217830
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0217830
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0217830&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0217830?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lumley, Thomas, 2004. "Analysis of Complex Survey Samples," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 9(i08).
    2. Ragnhild E Brandlistuen & Eivind Ystrom & Sonia Hernandez-Diaz & Svetlana Skurtveit & Randi Selmer & Marte Handal & Hedvig Nordeng, 2017. "Association of prenatal exposure to benzodiazepines and child internalizing problems: A sibling-controlled cohort study," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-16, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
    2. J. Michael Brick & Michael E. Jones, 2008. "Propensity to respond and nonresponse bias," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 51-73.
    3. Jacques Muthusi & Samuel Mwalili & Peter Young, 2019. "%svy_logistic_regression: A generic SAS macro for simple and multiple logistic regression and creating quality publication-ready tables using survey or non-survey data," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-14, September.
    4. Jonathan Wakefield & Taylor Okonek & Jon Pedersen, 2020. "Small Area Estimation for Disease Prevalence Mapping," International Statistical Review, International Statistical Institute, vol. 88(2), pages 398-418, August.
    5. Alex Fenton, 2013. "Small-area measures of income poverty," CASE Papers case173, Centre for Analysis of Social Exclusion, LSE.
    6. repec:cep:sticas:/173 is not listed on IDEAS
    7. Mei‐Chih Meg Tseng & Yi‐Ping Lin & Fu‐Chang Hu & Tsun‐Jen Cheng, 2013. "Risks Perception of Electromagnetic Fields in Taiwan: The Influence of Psychopathology and the Degree of Sensitivity to Electromagnetic Fields," Risk Analysis, John Wiley & Sons, vol. 33(11), pages 2002-2012, November.
    8. Raphael Nishimura & James Wagner & Michael Elliott, 2016. "Alternative Indicators for the Risk of Non-response Bias: A Simulation Study," International Statistical Review, International Statistical Institute, vol. 84(1), pages 43-62, April.
    9. Camelia Herman & Colleen M. Leonard & Perpetua Uhomoibhi & Mark Maire & Delynn Moss & Uwem Inyang & Ado Abubakar & Abiodun Ogunniyi & Nwando Mba & Stacie M. Greby & McPaul I. Okoye & Nnaemeka C. Iriem, 2023. "Non-falciparum malaria infection and IgG seroprevalence among children under 15 years in Nigeria, 2018," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    10. Elijah O. Onsomu & DaKysha Moore & Benta A. Abuya & Peggy Valentine & Vanessa Duren-Winfield, 2013. "Importance of the Media in Scaling-Up HIV Testing in Kenya," SAGE Open, , vol. 3(3), pages 21582440134, July.
    11. Vinas-Forcade, Jennifer & Seijas, María Noé, 2021. "To teach or not to teach: Negative selection into the teaching profession in Uruguay," International Journal of Educational Development, Elsevier, vol. 84(C).
    12. Lenis, David & Ackerman, Benjamin & Stuart, Elizabeth A., 2018. "Measuring model misspecification: Application to propensity score methods with complex survey data," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 48-57.
    13. Sofia Gil-Clavel & Emilio Zagheni & Valeria Bordone, 2022. "Close Social Networks Among Older Adults: The Online and Offline Perspectives," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1111-1135, June.
    14. Matthew R. Williams & Terrance D. Savitsky, 2021. "Uncertainty Estimation for Pseudo‐Bayesian Inference Under Complex Sampling," International Statistical Review, International Statistical Institute, vol. 89(1), pages 72-107, April.
    15. Jeanna Parsons Leigh & Kirsten Fiest & Rebecca Brundin-Mather & Kara Plotnikoff & Andrea Soo & Emma E Sypes & Liam Whalen-Browne & Sofia B Ahmed & Karen E A Burns & Alison Fox-Robichaud & Shelly Kupsc, 2020. "A national cross-sectional survey of public perceptions of the COVID-19 pandemic: Self-reported beliefs, knowledge, and behaviors," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    16. Wang, Jianqiang C., 2012. "Sample distribution function based goodness-of-fit test for complex surveys," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 664-679.
    17. Alejandro Aybar-Flores & Alvaro Talavera & Elizabeth Espinoza-Portilla, 2023. "Predicting the HIV/AIDS Knowledge among the Adolescent and Young Adult Population in Peru: Application of Quasi-Binomial Logistic Regression and Machine Learning Algorithms," IJERPH, MDPI, vol. 20(7), pages 1-29, March.
    18. Joseph R Starnes & Chiara Di Gravio & Rebecca Irlmeier & Ryan Moore & Vincent Okoth & Ash Rogers & Daniele J Ressler & Troy D Moon, 2021. "Characterizing multidimensional poverty in Migori County, Kenya and its association with depression," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-10, November.
    19. Christian A. Maino Vieytes & Ruoqing Zhu & Francesca Gany & Amirah Burton-Obanla & Anna E. Arthur, 2022. "Empirical Dietary Patterns Associated with Food Insecurity in U.S. Cancer Survivors: NHANES 1999–2018," IJERPH, MDPI, vol. 19(21), pages 1-21, October.
    20. Inghels, Maxime & Kim, Hae-Young & Mathenjwa, Thulile & Shahmanesh, Maryam & Seeley, Janet & Wyke, Sally & McGrath, Nuala & Sartorius, Benn & Yapa, H. Manisha & Dobra, Adrian & Bärnighausen, Till & Ta, 2022. "Can a conditional financial incentive (CFI) reduce socio-demographic inequalities in home-based HIV testing uptake? A secondary analysis of the HITS clinical trial intervention in rural South Africa," Social Science & Medicine, Elsevier, vol. 311(C).
    21. Shulgin, Sergey & Scherbov, Sergey & Zinkina, Yulia & Novikov, Kirill, 2017. "Medical-Demographic Differentiation According to Educational Level," Working Papers 041719, Russian Presidential Academy of National Economy and Public Administration.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0217830. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.