IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0192854.html
   My bibliography  Save this article

Frequency, trends, and antecedents of severe maternal depression after three million U.S. births

Author

Listed:
  • Urbano L França
  • Michael L McManus

Abstract

Background: Postpartum depression carries adverse consequences for mothers and children, so widespread screening during primary care visits is recommended. However, the rates, timing, and factors associated with significant depressive episodes are incompletely understood. Methods and findings: We examined the Healthcare Cost and Utilization Project (HCUP) State Inpatient, Emergency Department, and Ambulatory Surgery and Services Databases from California (2005–2011) and Florida (2005–2012). Within 203 million records, we identified 3,213,111 births and all mothers who had hospital encounters for severe depression within 40 weeks following delivery. We identified 15,806 episodes of postpartum depression after 11,103 deliveries among 10,883 unique women, and calculated an overall rate of 36.7 depression- associated hospital visits per 10,000 deliveries. Upward trends were observed in both states, with combined five-year increases of 34%. First depressive events were most common within 30 days of delivery, but continued for the entire observation period. About half (1,661/3,325) of PPD first episodes occurred within 34 days of delivery, 70% (2,329/3,325) by the end of the second month, and 87% (2,893/3,325) before four-months of the delivery. Women with private insurance were less likely to have hospital encounters for depression than women with public insurance and women with depression were much more likely to have had some kind of hospital encounter at some time during their pregnancies. Rates of depression increased with the number of prenatal hospital encounters in a “dose-dependent” fashion: the rate of depression was 17.2/10,000 for women with no prenatal hospital visits, doubling for women with at least one encounter (34.9/10,000), and increasing 7-fold to 126/10,000 for women with three or more encounters during their pregnancies. Conclusions: Our findings suggest that (1) hospital encounters for post-partum depression are increasing, (2) screening should begin very early and continue for the first year after delivery, and (3) added attention should be given to women who had hospital encounters during their pregnancies.

Suggested Citation

  • Urbano L França & Michael L McManus, 2018. "Frequency, trends, and antecedents of severe maternal depression after three million U.S. births," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-13, February.
  • Handle: RePEc:plo:pone00:0192854
    DOI: 10.1371/journal.pone.0192854
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0192854
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0192854&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0192854?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. Jeffrey M. Perkel, 2015. "Programming: Pick up Python," Nature, Nature, vol. 518(7537), pages 125-126, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sandraluz Lara-Cinisomo & Julio Ricardo Loret de Mola & Kendra Flores-Carter & Karen M. Tabb & Kristina Roloff, 2022. "Prenatal Depressive Symptoms, Self-Rated Health, and Diabetes Self-Efficacy: A Moderated Mediation Analysis," IJERPH, MDPI, vol. 19(20), pages 1-11, October.
    2. Jiarui Chen & Wendy M. Cross & Virginia Plummer & Louisa Lam & Mei Sun & Chunxiang Qin & Siyuan Tang, 2019. "The risk factors of antenatal depression: A cross‐sectional survey," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(19-20), pages 3599-3609, October.

    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. Tobias Houska & Philipp Kraft & Alejandro Chamorro-Chavez & Lutz Breuer, 2015. "SPOTting Model Parameters Using a Ready-Made Python Package," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-22, December.
    2. Siad, Si Mokrane & Iacobellis, Vito & Zdruli, Pandi & Gioia, Andrea & Stavi, Ilan & Hoogenboom, Gerrit, 2019. "A review of coupled hydrologic and crop growth models," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.

    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:pone00:0192854. 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.