Logistic regression analysis of risk factors in perinatal period for neonates with birth defects

GAO Li; LI Yajuan

doi:10.7619/jcmp.201919016

Journal of Clinical Medicine in Practice > 2019 > 23(19): 61-64. > DOI: 10.7619/jcmp.201919016

GAO Li, LI Yajuan. Logistic regression analysis of risk factors in perinatal period for neonates with birth defects[J]. Journal of Clinical Medicine in Practice, 2019, 23(19): 61-64. DOI: 10.7619/jcmp.201919016

Citation:

PDF (544 KB)

Logistic regression analysis of risk factors in perinatal period for neonates with birth defects

GAO Li¹,
LI Yajuan^2,

1.
Department of Pediatrics, Xunyang County Maternal and Child Health Care Hospital, Ankang, Shaanxi, 725700
2.
Department of Pediatrics, Fufeng County People′s Hospital, Baoji, Shaanxi, 722299

More Information

Received Date: August 12, 2019
Accepted Date: September 25, 2019
Available Online: February 28, 2021
Published Date: October 14, 2019

Graphical Abstract

Abstract

Abstract

Objective To analyze the effects of risk factors in perinatal period on birth defects of neonates.
Methods Totally 120 neonates with birth defects from December 2014 to December 2018 in Xunyang County Maternal and Child Health Care Hospital were selected as observation group, and 360 healthy newborns were selected as control group. The conditions of parents of newborns were investigated in both groups, including residence, age, economic status, occupation and educational level. Meanwhile, the history of unhealthy pregnancy and childbirth, unhealthy mood during pregnancy, multiple pregnancies, history of cold in early pregnancy, medication in early pregnancy, passive smoking in early pregnancy, pregnancy examination and marital examination were recorded. The influencing factors of birth defects were analyzed by single factor and multi-factor Logistic regression.
Results Compared with the control group, the educational level, residence, economic status and occupation of the puerperas in the observation group were significantly worse (P < 0.05). Univariate Logistic analysis showed that the factors affecting neonatal birth defects were history of adverse pregnancy and childbirth, adverse mood during pregnancy, multiple births, history of cold in early pregnancy, medication in early pregnancy, passive smoking in early pregnancy, pregnancy examination, pre-pregnancy examination and premarital examination. Logistic analysis showed that the protective factors of neonatal birth defects were pregnancy examination and premarital examination, and the independent risk factors of neonatal birth defects were history of adverse pregnancy and childbirth, adverse mood during pregnancy, history of cold in early pregnancy and medication in early transportation (P < 0.05).
Conclusion Risk factors of neonatal birth defects are various, including history of unhealthy pregnancy and childbirth, unhealthy mood during pregnancy, history of cold in early pregnancy and medication in early operation. Pregnant women should be advocated for pregnant examination inorder to timely master the condition of fetal development and complete the corresponding prevention work.
- newborns,
- birth defects,
- risk factors,
- pregnancy examination,
- pregnancy and maternity history,
- fetal development

FullText(HTML)

References (16)

References

[1]	甄双平, 吴亚玲, 王慧敏.太原市389例新生儿出生缺陷的流行病学调查[J].中国妇幼保健, 2017, 32(19): 4791-4795. https://www.cnki.com.cn/Article/CJFDTOTAL-ZFYB201719069.htm
[2]	Jcm C, Olkkola M, Zarrin H, et al. Universal Postpartum Mental Health Screening for Parents of Newborns With Prenatally Diagnosed Birth Defects[J]. Journal of Obstetric Gynecologic Neonatal Nursing Jognn, 2017, 47(1): 708-711. http://smartsearch.nstl.gov.cn/paper_detail.html?id=8ff8ba91c867e8e4807d1a5d1688ea16
[3]	李洁, 吴军华, 邱海燕.宁波市2011—2014年新生儿出生缺陷监测结果分析[J].中国预防医学杂志, 2017, 8(5): 20-26. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGYC201705004.htm
[4]	Case A P, Miller S D, Mcclain M R. Using State Birth Defects Registries to Evaluate Regional Critical Congenital Heart Disease Newborn Screening[J]. Birth Defects Research, 2017, 109(18): 1414-1417. doi: 10.1002/bdr2.1108
[5]	穆莹.人类先天畸形的临床诊断[M].北京:中国医药科技出版社, 1991: 204-208.
[6]	王小华, 谭洁, 梅瑾, 等.妊娠期代谢综合征及其主导危险因素与出生缺陷分析[J].中国优生与遗传杂志, 2017, 9(11): 114-116. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYYA201711040.htm
[7]	Ams C, Sevick C J, Gumbs G R, et al. Safety of inadvertent anthrax vaccination during pregnancy: An analysis of birth defects in the U. S. military population, 2003-2010[J]. Vaccine, 2017, 35(34): 95-98. http://europepmc.org/abstract/MED/28673484
[8]	李思慧, 龚景进, 莫金桦, 等.单、双胎早产的高危因素及早产儿结局比较研究[J].中国实用妇科与产科杂志, 2018, 10(6): 210-214. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGSF201802013.htm
[9]	王红丽, 陈方尧, 严惠, 等.运用结构方程模型探讨社会环境因素对不良出生结局的影响[J].中国公共卫生, 2018, 34(7): 211-214. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW201807010.htm
[10]	吴素勤, 王鹰, 吴建发, 等.浦东新区周康航地区孕前及孕早期妇女叶酸代谢酶基因多态性与新生儿出生缺陷的关联性研究[J].中国卫生检验杂志, 2017, 10(20): 2992-2994. https://www.cnki.com.cn/Article/CJFDTOTAL-ZWJZ201720033.htm
[11]	Kovalenko A A, Anda E E, Odland J Ø, et al. Risk Factors for Ventricular Septal Defects in Murmansk County, Russia: A Registry-Based Study[J]. International Journal of Environmental Research Public Health, 2018, 15(7): 1320-1324. doi: 10.3390/ijerph15071320
[12]	赵豆豆, 戴亚欣, 郭乐倩, 等.围孕期患病及心理状态与婴儿出生缺陷的关系[J].中华流行病学杂志, 2017, 38(11): 1460-1465. doi: 10.3760/cma.j.issn.0254-6450.2017.11.004
[13]	邴佳, 姜停停, 宋萍. 2016年吉林省出生缺陷医院监测结果分析[J].中国妇幼保健, 2017, 10(17): 4017-4019. https://www.cnki.com.cn/Article/CJFDTOTAL-ZFYB201717002.htm
[14]	莫国梁, 张晓倩, 张春艳, 等. 2015-2017年南充市新生儿先天性甲状腺功能减低症发病情况调查分析[J].预防医学情报杂志, 2018, 8(12): 332-335. https://www.cnki.com.cn/Article/CJFDTOTAL-YFYX201812013.htm
[15]	Mombo L E, Yangawagou-Eyeghe L M, Mickala P, et al. Patterns and risk factors of birth defects in rural areas of south-eastern Gabon[J]. Congenital Anomalies, 2017, 57(3): 79-82. doi: 10.1111/cga.12201
[16]	郭薇, 王树松, 刘帅, 等.辅助生殖技术出生婴儿性别比及出生缺陷相关影响因素分析[J].中国妇幼保健, 2017, 32(23): 5977-5980. https://www.cnki.com.cn/Article/CJFDTOTAL-ZFYB201723062.htm

[1]	YUAN Li, XIA Rongming, GAO Yueqiao, MIAO Xiufang. Analysis of early neuropsychological development in 417 premature infants and its influencing factors[J]. Journal of Clinical Medicine in Practice, 2022, 26(9): 103-106. DOI: 10.7619/jcmp.20214875
[2]	MA Linghua, LI Jiangheng, ZHONG Liuyu, HUANG Yongquan, ZHU Maoling. Clinical characteristics of pregnant woman in advanced maternal age and effect of pregnancy tests for pregnancy risks[J]. Journal of Clinical Medicine in Practice, 2022, 26(9): 50-53. DOI: 10.7619/jcmp.20214722
[3]	LIU Yangyang, YOU Yan, QIN Aiping, MA Min. A case analysis of fetal limb-body wall syndrome[J]. Journal of Clinical Medicine in Practice, 2022, 26(4): 127-129. DOI: 10.7619/jcmp.20212343
[4]	FU Ping, WU Wencui. Value of ultrasonic measurement of fetal fetal nuchal translucency thickness in early pregnancy and its relationship with adverse pregnancy outcomes[J]. Journal of Clinical Medicine in Practice, 2021, 25(15): 93-97. DOI: 10.7619/jcmp.20211030
[5]	LUO Aihua, BAO Rong, WU Tiantian, ZHU Jianlin. Value of color Doppler flow imaging combined with fetal non-stress test in diagnosis of fetal distress[J]. Journal of Clinical Medicine in Practice, 2020, 24(20): 100-102,107. DOI: 10.7619/jcmp.202020028
[6]	YIN Xiaohui, ZHOU Weihong, SUN Zhixia, XIA Jianmei, LI Ji, WANG Hua. Effect of real-time four-dimensional color Doppler ultrasonography on diangnosis of prenatal development of fetus[J]. Journal of Clinical Medicine in Practice, 2018, (22): 74-76. DOI: 10.7619/jcmp.201822024
[7]	LI Yunduan, LIU Weiwu, XU Xiuying. Multivariate analysis of fetal growth restriction and its prevention measures[J]. Journal of Clinical Medicine in Practice, 2017, (1): 90-93. DOI: 10.7619/jcmp.201701027
[8]	TIAN Ying. Effects of different feeding methods on neonatal development and maternal rehabilitation[J]. Journal of Clinical Medicine in Practice, 2016, (4): 127-129. DOI: 10.7619/jcmp.201604039
[9]	ZHAO Chunhua, WANG Yuqi. Influence of hyperbilirubinemia on neonatal nerve behavior and intellectual development[J]. Journal of Clinical Medicine in Practice, 2016, (3): 88-90,94. DOI: 10.7619/jcmp.201603027
[10]	CAO Hongzhen, BIAN Min, LI Qin, SHEN Jianqiu. Value of color Dopper ultrasonic examination in monitoring fetal renal artery blood flow parameters of patients with pregnancy-inducedhypertension syndrome and fetal growth restriction[J]. Journal of Clinical Medicine in Practice, 2014, (17): 94-96. DOI: 10.7619/jcmp.201417029

Cited By

Cited by

Periodical cited type(7)

1.	张考珍，严燕艺，商明，关换琼，张爱珍. 高龄孕妇再生育出生缺陷情况及其影响因素分析. 中外医学研究. 2022(10): 139-142 .
2.	孟远霞. 责任亲情交互护理模式干预在新生儿出生缺陷产妇中的应用效果及对产妇产后生活质量的影响. 临床医学研究与实践. 2021(04): 174-176+182 .
3.	罗丽兰，吴岸晓，王丽婷. 胎儿先天性畸形的调查结果统计及危险因素分析. 中国优生与遗传杂志. 2021(01): 107-110 .
4.	李淑妮，许晨耘，伍芳芳，蔡容燕，李春蕾，韩丽珍. 海口市2016—2019年新生儿出生缺陷情况及相关影响因素分析. 实用预防医学. 2021(07): 881-884 .
5.	章历红，赵灵. 高龄孕产妇孕前及孕期检查现状及影响因素分析. 中国计划生育学杂志. 2021(08): 1563-1567 .
6.	俞鹏，邓晓龙，袁军. 2017—2020年泰州市新生儿出生缺陷发生率调查及特征观察. 中国妇幼健康研究. 2021(09): 1245-1249 .
7.	刘清玲，刘长娣，杨舒. 胎儿发生先天性畸形的数据比例及影响因素的Logistic回归分析. 中国优生与遗传杂志. 2020(08): 1017-1019 .

Other cited types(3)

Get Citation

PDF

XML

Article views (263) PDF downloads (7) Cited by(10)

Turn off MathJax

Article Contents

Abstract

References

Logistic regression analysis of risk factors in perinatal period for neonates with birth defects

Abstract

References

Related Articles

Cited by

Periodical cited type(7)

Other cited types(3)

Catalog

Logistic regression analysis of risk factors in perinatal period for neonates with birth defects

Abstract

References

Related Articles

Cited by

Periodical cited type(7)

Other cited types(3)

Catalog

Export File

Citation

Format

Content