Taipei Medical University Institutional Repository:Item 987654321/2155
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 45422/58598 (78%)
Visitors : 2515068      Online Users : 247
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://libir.tmu.edu.tw/handle/987654321/2155


    Title: Maternal Bipolar Disorder Increased Low Birthweight and Preterm Births: A Nationwide Population-based Study
    Authors: 林恆慶
    Lee HC;Lin HC
    Contributors: 醫務管理學系
    Date: 2009
    Issue Date: 2009-08-18 16:28:20 (UTC+8)
    Abstract: OBJECTIVE: To investigate pregnancy outcomes, including low birthweight, preterm births, and small-for-gestational-age (SGA) among women with bipolar disorder, schizophrenia compared with women with no history of mental illness using nationwide population-based data.

    METHODS: This study linked the Taiwan National Health Insurance Research Dataset with the national birth certificate registry. A total of 528,398 singleton births between 2001 and 2003 were included; 337 were diagnosed with bipolar disorder. Multivariate logistic regression analyses were carried out to examine the relationship between maternal bipolar disorder, schizophrenia and the odds of low birthweight, preterm births, and SGA, after adjusting for characteristics of infant, mother and father.

    RESULTS: It shows that pregnant women with bipolar disorder were more likely to have LBW infants (9.8% vs. 5.7%), preterm births (14.2% vs. 6.9%) and SGA (22.3% vs. 15.7%) than pregnant women with no history of mental illness. The adjusted odds of low birthweight for women with bipolar disorder was 1.66 times (95% CI, 1.16-2.38) that of women with no history of mental illness. In terms of preterm births and SGA, the adjusted odds ratios were 2.08 (95% CI, 1.53-2.83) and 1.47 (95% CI, 1.14-1.91) respectively, for women with bipolar disorder, compared to their counterparts with no history of mental illness.

    CONCLUSIONS: We conclude that women with bipolar disorder had increased risk of low birthweight, preterm births, and SGA than women without a history of mental illness. More active monitoring and early intervention to counter potential adverse pregnancy outcomes for pregnant women with bipolar disorder should be initiated.
    Relation: Journal of Affective Disorders.
    Data Type: article
    Appears in Collections:[School of Health Care Administration] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    23.pdf178KbAdobe PDF268View/Open
    全文.txt0KbText381View/Open


    All items in TMUIR are protected by copyright, with all rights reserved.


    著作權聲明 Copyright Notice
    • 本平台之數位內容為臺北醫學大學所收錄之機構典藏,包含體系內各式學術著作及學術產出。秉持開放取用的精神,提供使用者進行資料檢索、下載與取用,惟仍請適度、合理地於合法範圍內使用本平台之內容,以尊重著作權人之權益。商業上之利用,請先取得著作權人之授權。

      The digital content on this platform is part of the Taipei Medical University Institutional Repository, featuring various academic works and outputs from the institution. It offers free access to academic research and public education for non-commercial use. Please use the content appropriately and within legal boundaries to respect copyright owners' rights. For commercial use, please obtain prior authorization from the copyright owner.

    • 瀏覽或使用本平台,視同使用者已完全接受並瞭解聲明中所有規範、中華民國相關法規、一切國際網路規定及使用慣例,並不得為任何不法目的使用TMUIR。

      By utilising the platform, users are deemed to have fully accepted and understood all the regulations set out in the statement, relevant laws of the Republic of China, all international internet regulations, and usage conventions. Furthermore, users must not use TMUIR for any illegal purposes.

    • 本平台盡力防止侵害著作權人之權益。若發現本平台之數位內容有侵害著作權人權益情事者,煩請權利人通知本平台維護人員(libirtmu@gmail.com),將立即採取移除該數位著作等補救措施。

      TMUIR is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(libirtmu@gmail.com). We will remove the work from the repository.

    Back to Top
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©  2006-2025  - Feedback