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Preterm Birth in China Between 2015 and 2016.

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Title: Preterm Birth in China Between 2015 and 2016.
Authors: Chen, Chang (AUTHOR), Zhang, Jin Wen (AUTHOR), Xia, Hong Wei (AUTHOR), Zhang, Hui Xin (AUTHOR), Betran, Ana Pilar (AUTHOR), Zhang, Lin (AUTHOR), Hua, Xiao Lin (AUTHOR), Feng, Li Ping (AUTHOR), Chen, Dan (AUTHOR), Sun, Kang (AUTHOR), Guo, Chun Ming (AUTHOR), Qi, Hong Bo (AUTHOR), Duan, Tao (AUTHOR), Zhang, Jun (AUTHOR)
Source: American Journal of Public Health. Nov2019, Vol. 109 Issue 11, p1597-1604. 8p.
Subjects: Premature labor, Public health, Public health statistics, Diseases in women, Hospitals
Geographic Terms: China
Abstract: Objectives. To describe the incidence, risk factors, and potential causes of preterm birth (PTB) in China between 2015 and 2016. Methods. The China Labor and Delivery Survey was a population-based multicenter study conducted from 2015 to 2016. We assigned each birth a weight based on the sampling frame. We calculated the incidence of PTB and the multivariable logistic regression, and we used 2-step cluster analysis to examine the relationships between PTB and maternal, fetal, and placental conditions. Results. The weighted nationwide incidence of PTB was 7.3% of all births and 6.7% of live births at 24 or more weeks of gestation. Of the PTBs, 70.5% were born after 34 weeks and 42.7% were iatrogenic. Nearly two thirds of all preterm births were attributable to maternal, fetal, or placental conditions, and one third had unknown etiology. Conclusions. This study provided information on the incidence of PTB in China and identified several factors associated with PTB. The high frequency of iatrogenic PTB calls for a careful assessment and prudent management of such pregnancies, as PTB has short- and long-term health consequences. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Preterm Birth in China Between 2015 and 2016.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Chang%22">Chen, Chang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jin+Wen%22">Zhang, Jin Wen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xia%2C+Hong+Wei%22">Xia, Hong Wei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Hui+Xin%22">Zhang, Hui Xin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Betran%2C+Ana+Pilar%22">Betran, Ana Pilar</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Lin%22">Zhang, Lin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hua%2C+Xiao+Lin%22">Hua, Xiao Lin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feng%2C+Li+Ping%22">Feng, Li Ping</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Dan%22">Chen, Dan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Kang%22">Sun, Kang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Chun+Ming%22">Guo, Chun Ming</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qi%2C+Hong+Bo%22">Qi, Hong Bo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Duan%2C+Tao%22">Duan, Tao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jun%22">Zhang, Jun</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. Nov2019, Vol. 109 Issue 11, p1597-1604. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Premature+labor%22">Premature labor</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health+statistics%22">Public health statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Diseases+in+women%22">Diseases in women</searchLink><br /><searchLink fieldCode="DE" term="%22Hospitals%22">Hospitals</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objectives. To describe the incidence, risk factors, and potential causes of preterm birth (PTB) in China between 2015 and 2016. Methods. The China Labor and Delivery Survey was a population-based multicenter study conducted from 2015 to 2016. We assigned each birth a weight based on the sampling frame. We calculated the incidence of PTB and the multivariable logistic regression, and we used 2-step cluster analysis to examine the relationships between PTB and maternal, fetal, and placental conditions. Results. The weighted nationwide incidence of PTB was 7.3% of all births and 6.7% of live births at 24 or more weeks of gestation. Of the PTBs, 70.5% were born after 34 weeks and 42.7% were iatrogenic. Nearly two thirds of all preterm births were attributable to maternal, fetal, or placental conditions, and one third had unknown etiology. Conclusions. This study provided information on the incidence of PTB in China and identified several factors associated with PTB. The high frequency of iatrogenic PTB calls for a careful assessment and prudent management of such pregnancies, as PTB has short- and long-term health consequences. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.2105/AJPH.2019.305287
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 8
        StartPage: 1597
    Subjects:
      – SubjectFull: Premature labor
        Type: general
      – SubjectFull: Public health
        Type: general
      – SubjectFull: Public health statistics
        Type: general
      – SubjectFull: Diseases in women
        Type: general
      – SubjectFull: Hospitals
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Preterm Birth in China Between 2015 and 2016.
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              M: 11
              Text: Nov2019
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