The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study

Puxian PENG; Liping WANG; Hong LI; Yuan ZHANG; Songyuan TANG; Xingmei DENG

doi:10.12259/j.issn.2095-610X.S20230505

Volume 44 Issue 5

May 2023

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Puxian PENG, Liping WANG, Hong LI, Yuan ZHANG, Songyuan TANG, Xingmei DENG. The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study[J]. Journal of Kunming Medical University, 2023, 44(5): 19-25. doi: 10.12259/j.issn.2095-610X.S20230505

Citation:

Puxian PENG, Liping WANG, Hong LI, Yuan ZHANG, Songyuan TANG, Xingmei DENG. The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study[J]. Journal of Kunming Medical University, 2023, 44(5): 19-25. doi: 10.12259/j.issn.2095-610X.S20230505

Citation:

Puxian PENG, Liping WANG, Hong LI, Yuan ZHANG, Songyuan TANG, Xingmei DENG. The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study[J]. Journal of Kunming Medical University, 2023, 44(5): 19-25. doi: 10.12259/j.issn.2095-610X.S20230505

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The Incidence of Premature Delivery and Its Influencing Factors: A Maternal and Infant Health Cohort Study

doi: 10.12259/j.issn.2095-610X.S20230505

1.
School of Public Health，Kunming Medical University，Kunming Yunnan 650500
2.
Dept. of Gynaecology and Obstetrics，Qujing Maternal and Child-care Hospital， Qujing Yunnan 655002，China

Received Date: 2023-01-28
Publish Date: 2023-05-25

Abstract

Abstract

Objective To understand and analyze the incidence of premature delivery and its influencing factors in Qujing city, Yunnan province, so as to provide the scientific basis for the early intervention. Methods Based on Qujing Maternal and Child Health Hospital, we selected the pregnant women who met the inclusion criteria from September 1, 2020 to October 31, 2021 as the research objective, followed up the basic situation and delivery outcome of pregnant women, and analyzed the epidemiological characteristics and influencing factors of premature delivery by chi-square test and logistic regression model. Results Among 7302 pregnant women, 477 cases were premature, with an incidence of 6.53%. Among them, late preterm labor, middle preterm labor and early preterm labor accounted for 77.15%, 12.79% and 10.06% respectively. Multivariate analysis showed that the risk factors of premature delivery were: low education level （i.e. primary school or below, junior high school and senior high school）, pregnancy ≥3 times, parity ≥3 times, placenta previa, twin or multiple pregnancy, history of cesarean section, history of abortion, number of check-ups ≤8 times, gestational hypertension, gestational diabetes, premature rupture of membranes, fetal or uterine malformation （all P-value < 0.05）. Conclusion The incidence of premature delivery is high, which may be influenced by the education level of pregnant women, placenta previa during pregnancy, twin or multiple pregnancies, the number of prenatal checkups, pregnancy-induced hypertension, gestational diabetes, premature rupture of membranes, fetal or uterine malformation, and previous history of cesarean section and abortion. Therefore, we should strengthen the ability to accurately identify the risk factors of premature delivery at an early stage, so as to achieve the early detection, early prevention and early treatment, reduce its impact on mother and fetus, and promote the health of mother and baby.
- Premature delivery,
- Epidemiological characteristics,
- Influencing factors,
- Maternal and infant health cohort

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References(30)

References

[1]	冯永亮,彭婷婷,王芳,等. 妊娠期高血压疾病对出生结局的影响及相关因素[J]. 中华疾病控制杂志,2014,18(2):131-134.
[2]	Payne M S,Feng Z,Li S,et al. Second trimester amniotic fluid cytokine concentrations,Ureaplasma sp. colonisation status and sexual activity as predictors of preterm birth in Chinese and Australian women[J]. BMC Pregnancy and Childbirth,2014,14(340):2-11.
[3]	Mateo I,Lorenzo V,Muñoz A,et al. Meningeal carcinomatosis in a dog: Magnetic resonance imaging features and pathological correlation[J]. The Journal of Small Animal Practice,2010,51(1):43-48. doi: 10.1111/j.1748-5827.2009.00850.x
[4]	钟世林,樊尚荣. 早产的流行病学[J]. 中华产科急救电子杂志,2018,7(4):197-201. doi: 10.3877/cma.j.issn.2095-3259.2018.04.002
[5]	洪秀,盛晓园. 早产发生率及高危因素及对围产结局的影响[J]. 中国医院统计,2019,26(3):218-221. doi: 10.3969/j.issn.1006-5253.2019.03.017
[6]	Rissanen A S,Jernman R M,Gissler,et al. Maternal complications in twin pregnancies in Finland during 1987-2014: A retrospective study[J]. BMC Pregnancy and Childbirth,2019,19(1):337-340. doi: 10.1186/s12884-019-2498-x
[7]	Blencome H,Cousens S,Oestergaard M Z,et al. National,regional,and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: A systematic analysis and implications[J]. Lancet (London,England),2012,379(9832):2162-2172. doi: 10.1016/S0140-6736(12)60820-4
[8]	U N Inter-Agency Group for Child Mortality Estimation. Levels and trends in child mortality report 2017 [EB/OL]. （2017-10-18） [2020-11-15]. https://www.unicef.org/reports/levels-and-trends-child-mortality-report-2017
[9]	邵肖梅, 叶鸿瑁, 丘小汕, 主编. 实用新生儿学[M]. 第4版. 北京: 人民卫生出版社, 2013: 8, 457.
[10]	Chen C,Zhang J W,Xia H W,et al. Preterm Birth in China Between 2015 and 2016[J]. Am J Public Health,2019,109(11):1597-1604. doi: 10.2105/AJPH.2019.305287
[11]	石英杰. 我国早产流行现状及影响因素的前瞻性队列研究[D]. 北京: 北京协和医学院硕士学位论文, 2021.
[12]	朱克,杨海云,李琳,等. 2014-2016年昆明市早产儿现况及危险因素分析[J]. 中国妇幼保健,2019,34(17):3892-3895.
[13]	Barfield W D. Public health implications of very preterm birth[J]. Clin Perinatol,2018,45(3):565-577. doi: 10.1016/j.clp.2018.05.007
[14]	仲秀丽,丁亚囡,王佳琦,等. 1989-2017年住院分娩4738例早产活产儿临床资料分析[J]. 南通大学学报(医学版),2018,38(6):467-469.
[15]	叶长翔,陈生宝,王婷婷,等. 早产危险因素的前瞻性队列研究[J]. 中国当代儿科杂志,2021,23(12):1242-1249. doi: 10.7499/j.issn.1008-8830.2108015
[16]	徐蓉,王菁,刘菊凝,等. 苏州市早产与低出生体重的趋势及危险因素研究[J]. 中国妇幼保健,2016,31(22):4793-4796.
[17]	刘世平,颜艳,高晓,等. 妊娠并发症影响因素的对应分析[J]. 中国卫生统计,2018,35(2):197-199.
[18]	李宏. 基于母婴健康队列的早产影响因素及风险评分体系构建研究[D]. 昆明: 昆明医科大学硕士学位论文, 2022.
[19]	张风玲. 北苑地区系统产检与高危妊娠发病关系的研究[J]. 中国妇幼保健,2007,22(25):3510-3511. doi: 10.3969/j.issn.1001-4411.2007.25.018
[20]	徐鑫. 早产高危因素调查分析[D]. 郑州: 郑州大学硕士学位论文, 2019.
[21]	Parazzini F,Tozzi L,Bianchi S. Pregnancy outcome and uterine fibroids[J]. Best Pract Res Clin Obstet Gynaecol,2016,34(1):74-84.
[22]	龚景进,黄楚君,刘世良,等. 双胎妊娠早产的临床特点及危险因素分析[J]. 实用妇产科杂志,2019,35(11):841-845.
[23]	Yagur Y,Weitzner O,Ravid E,et al. Can we predict preterm delivery in patients with premature rupture of membranes[J]. Arch Gynecol Obstet,2019,300(3):615-621. doi: 10.1007/s00404-019-05196-8
[24]	Airoldi J,Berghella V,Sehdev H,et al. Transvaginal ultrasonography of the cervix to predict preterm birth in women with uterine anomalies[J]. Obstet Gynecol,2005,106(3):553-556. doi: 10.1097/01.AOG.0000173987.59595.e2
[25]	姜宁宁,钟利君. 孕妇发生极早早产和早期早产的高危因素分析[J]. 中国妇幼保健,2021,36(4):792-795.
[26]	马逸杰,陈大方. 妊娠期高血压对早产、低出生体重的影响[J]. 中国生育健康杂志,2020,31(6):517-521.
[27]	李绍锦,丁振尧,支佩颖. 妊娠期高血压疾病引发早产母婴结局状况及临床对策研究[J]. 中国妇幼保健,2019,34(21):4883-4885.
[28]	孙滢滢,刘志新,苏亚楠. 临床干预治疗对妊娠期高血压疾病患者的血压和妊娠结局的影响[J]. 中国妇幼保健,2015,30(11):1675-1677.
[29]	张凯斐. 妊娠期高血压疾病早产的临床特点及早产儿结局分析[D]. 滨州: 滨州医学院硕士学位论文, 2019.
[30]	王芬,张海林. 鄂州市某妇保医院2010—2014年早产儿发病率及其影响因素分析[J]. 中国社会医学杂志,2016,33(3):252-255. doi: 10.3969/j.issn.1673-5625.2016.03.017

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