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    <responseDate>2026-10-12T15:31:12Z</responseDate>
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    <identifier>10.57760/sciencedb.j00253.05177</identifier>
    <datestamp>2026-09-10T10:51:53Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-09-10</dc:date>
  <dc:title>Epidemiological Characteristics Analysis of Hypertensive Disorders of Pregnancy in Beijing, 2013&amp;ndash;2022</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00253.05177</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Objective To analyze the epidemic trend and epidemiological characteristics of hypertensive disorders of pregnancy (HDP) in Beijing (2013&amp;ndash;2022) to provide evidence for HDP prevention and treatment.Methods Permanent Beijing residents who delivered in hospitals (2013&amp;ndash;2022) were enrolled, with data from the Beijing Maternal and Child Health Data Warehouse. HDP was classified into four subtypes: gestational hypertension, preeclampsia-eclampsia, pregnancy with chronic hypertension, and chronic hypertension complicated with preeclampsia. Joinpoint regression was used to analyze prevalence trends (calculating APC, AAPC and 95%CI), and Logistic regression to identify HDP risk factors and adverse pregnancy outcome risks.Results A total of 1,726,444 parturients were included, with 135,894 HDP cases (prevalence 7.87%). HDP prevalence increased from 6.14% (2013) to 11.42% (2022) (AAPC=8.50%, 95%CI: 6.98%～10.04%, P＜0.05), with chronic hypertension complicated with preeclampsia growing fastest (AAPC=20.21%, 95%CI: 18.28%, 22.16%). Multivariate Logistic regression showed that the &amp;ge;45 years group had the highest risk of chronic hypertension complicated with preeclampsia (adjusted OR[95%CI]: 12.07[ 9 .34, 15 ]) vs. 25&amp;ndash;29 years group. Twin/multiple pregnancy (1.98[ 1 .95, 2 .01]), low education (2.49[ 2 .42,2.56]) and suburban residence (1.15[ 1 . 12 ,1. 17 ]) were associated with higher HDP risk. This subtype also had higher risks of preterm birth (7.12[ 6 .7878,7.47]), cesarean section (4.06[ 3 .85, 4 .28]), premature rupture of membranes (4.2[ 3 .68, 4 .76]), low birth weight (7.63[ 7 . 24 , 8 .04]) and neonatal asphyxia (2.86[ 2 . 17 ,37]).Conclusion HDP prevalence in Beijing increased continuously (2013&amp;ndash;2022). Advanced age, multiple pregnancy, low education and suburban residence are key HDP risk factors. Chronic hypertension complicated with preeclampsia had the most obvious growth and higher risks of adverse pregnancy/neonatal outcomes. Strengthening high-risk group screening and pre-pregnancy chronic disease management is necessary to reduce HDP burden.</dc:description>
  <dc:subject>Hypertensive disorders of pregnancy; Preeclampsia; Epidemiology; Joinpoint regression; Risk factors</dc:subject>
  <dc:creator>Lei.Wang</dc:creator>
  <dc:creator>Shuang.Cao</dc:creator>
  <dc:creator>Yongxian.Zhao</dc:creator>
  <dc:creator>Junhua.Wang</dc:creator>
  <dc:creator>Di.Zhang</dc:creator>
  <dc:creator>Zhao.Wang</dc:creator>
  <dc:creator>Litian.Chu</dc:creator>
  <dc:creator>Lili.Huang</dc:creator>
  <dc:creator>Minghui.Wu</dc:creator>
  <dc:creator>Zhaoxia.Jia</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://api.github.com/licenses/agpl-3.0</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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