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- Title
Spatial–temporal distribution of preterm birth in China, 1990–2020: A systematic review and modelling analysis.
- Authors
Hu, Wei‐Hua; Gao, Xin‐Yuan; Li, Xiu‐Xiu; Lin, Qing‐Mei; He, Li‐Ping; Lai, Ying‐Si; Hao, Yuan‐Tao
- Abstract
Background: Little is known about the long‐term trends of preterm birth rates in China and their geographic variation by province. Objectives: To estimate the annual spatial–temporal distribution of preterm birth rates in China by province from 1990 to 2020. Data Sources: We searched PubMed, EMBASE, Web of Science, CNKI, WANFANG and VIP from January 1990 to September 2023. Study Selection and Data Extraction: Studies that provided data on preterm births in China after 1990 were included. Data were extracted following the Guidelines for Accurate and Transparent Health Estimates Reporting. Synthesis: We assessed the quality of each survey using a 9‐point checklist. We estimated the annual preterm birth risk by province using Bayesian multilevel logistic regression models considering potential socioeconomic, environmental, and sanitary predictors. Results: Based on 634 survey data from 343 included studies, we found a gradual increase in the preterm birth risk in most provinces in China since 1990, with an average annual increase of 0.7% nationally. However, the preterm birth rates in Inner Mongolia, Hubei, and Fujian Province showed a decline, while those in Sichuan were quite stable since 1990. In 2020, the estimates of preterm birth rates ranged from 2.9% (95% Bayesian credible interval [BCI] 2.1, 3.8) in Inner Mongolia to 8.5% (95% BCI 6.6, 10.9) in Jiangxi, with the national estimate of 5.9% (95% BCI 4.3, 8.1). Specifically, some provinces were identified as high‐risk provinces for either consistently high preterm birth rates (e.g. Jiangxi) or relatively large increases (e.g. Shanxi) since 1990. Conclusions: This study provides annual information on the preterm birth risk in China since 1990 and identifies high‐risk provinces to assist in targeted control and intervention for this health issue.
- Subjects
CHINA; JIANGXI Sheng (China); INNER Mongolia (China); PREMATURE labor; PHYSIOGRAPHIC provinces; BIRTH rate; LOGISTIC regression analysis; DATA extraction; REGRESSION analysis
- Publication
Paediatric & Perinatal Epidemiology, 2024, Vol 38, Issue 2, p130
- ISSN
0269-5022
- Publication type
Article
- DOI
10.1111/ppe.13028