{"title":"1990-2020 年中国早产儿的时空分布:系统回顾与模型分析","authors":"Wei-Hua Hu, Xin-Yuan Gao, Xiu-Xiu Li, Qing-Mei Lin, Li-Ping He, Ying-Si Lai, Yuan-Tao Hao","doi":"10.1111/ppe.13028","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Little is known about the long-term trends of preterm birth rates in China and their geographic variation by province.</p><p><strong>Objectives: </strong>To estimate the annual spatial-temporal distribution of preterm birth rates in China by province from 1990 to 2020.</p><p><strong>Data sources: </strong>We searched PubMed, EMBASE, Web of Science, CNKI, WANFANG and VIP from January 1990 to September 2023.</p><p><strong>Study selection and data extraction: </strong>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.</p><p><strong>Synthesis: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial-temporal distribution of preterm birth in China, 1990-2020: A systematic review and modelling analysis.\",\"authors\":\"Wei-Hua Hu, Xin-Yuan Gao, Xiu-Xiu Li, Qing-Mei Lin, Li-Ping He, Ying-Si Lai, Yuan-Tao Hao\",\"doi\":\"10.1111/ppe.13028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Little is known about the long-term trends of preterm birth rates in China and their geographic variation by province.</p><p><strong>Objectives: </strong>To estimate the annual spatial-temporal distribution of preterm birth rates in China by province from 1990 to 2020.</p><p><strong>Data sources: </strong>We searched PubMed, EMBASE, Web of Science, CNKI, WANFANG and VIP from January 1990 to September 2023.</p><p><strong>Study selection and data extraction: </strong>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.</p><p><strong>Synthesis: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":19698,\"journal\":{\"name\":\"Paediatric and perinatal epidemiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Paediatric and perinatal epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/ppe.13028\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Paediatric and perinatal epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/ppe.13028","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/2 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
Spatial-temporal distribution of preterm birth in China, 1990-2020: A systematic review and modelling analysis.
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.
期刊介绍:
Paediatric and Perinatal Epidemiology crosses the boundaries between the epidemiologist and the paediatrician, obstetrician or specialist in child health, ensuring that important paediatric and perinatal studies reach those clinicians for whom the results are especially relevant. In addition to original research articles, the Journal also includes commentaries, book reviews and annotations.