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梁燕玲, 徐志兵, 植紫晴, 欧葵喜. 广东省云浮市2015-2019年新生儿出生体重及影响因素分析[J]. 中国妇幼卫生杂志, 2021, 12(1): 27-31. DOI: 10.19757/j.cnki.issn1674-7763.2021.01.007
引用本文: 梁燕玲, 徐志兵, 植紫晴, 欧葵喜. 广东省云浮市2015-2019年新生儿出生体重及影响因素分析[J]. 中国妇幼卫生杂志, 2021, 12(1): 27-31. DOI: 10.19757/j.cnki.issn1674-7763.2021.01.007
LIANG Yan Ling, XU Zhi Bing, ZHI Zi Qing, OU Kui Xi. Analysis of birth weight and its influencing factors of new-born babies in Yunfu,2015-2019[J]. CHINESE JOURNAL OF WOMEN AND CHILDREN HEALTH, 2021, 12(1): 27-31. DOI: 10.19757/j.cnki.issn1674-7763.2021.01.007
Citation: LIANG Yan Ling, XU Zhi Bing, ZHI Zi Qing, OU Kui Xi. Analysis of birth weight and its influencing factors of new-born babies in Yunfu,2015-2019[J]. CHINESE JOURNAL OF WOMEN AND CHILDREN HEALTH, 2021, 12(1): 27-31. DOI: 10.19757/j.cnki.issn1674-7763.2021.01.007

广东省云浮市2015-2019年新生儿出生体重及影响因素分析

Analysis of birth weight and its influencing factors of new-born babies in Yunfu,2015-2019

  • 摘要: 目的 分析广东省云浮市2015-2019年出生的新生儿在不同孕周、胎数和性别出生体重的情况,了解低出生体重儿(LBWI)的发生率及其变化趋势,探讨其相关危险因素,为政府部门制定相关政策以减少LBWI的发生提供理论依据及数据支持。方法 采取整群抽样方法调查云浮市2015-2019年66家助产机构住院分娩的180 378例单胎活产儿,对其出生体重进行分析,使用单因素方差分析和多因素Logistic回归分析其影响因素。结果 新生儿出生体重均值为(3108. 33±417. 61)g,并随孕周的增加呈升高趋势(P<0. 001);早产儿发生率为4. 97%,低体重儿发生率为5. 18%,巨大儿发生率为2. 13%,小于胎龄儿和大于胎龄儿发生率分别为14. 76%、3. 52%。多因素分析发现,母亲年龄<20岁、早产、经产妇和新生儿出生缺陷是低出生体重发生的危险因素,OR(95% CI)分别为0. 35(1. 23~1. 56)、3. 44(29. 69~32. 92)、0. 36(1. 37~1. 51)和0. 95(2.13~3.15)。母亲年龄≥35岁、过期产、男婴和母亲非广东户籍是巨大儿发生的危险因素,OR(95% CI)分别为0. 59(1.66~1.96)、1.24(2.81~4.21)、0.61(1.73~1.98)、0.50(1.46~1. 85)。结论 云浮市新生儿平均出生体重、早产发生率、巨大儿发生率低于全国平均水平,低出生体重儿发生率低于全国平均水平;低出生体重儿受母亲年龄、早产、是否经产妇及新生儿出生缺陷影响;巨大儿受性别、母亲年龄、过期产及母亲户籍影响。

     

    Abstract: Objective To analyze the birth weight of infants with different gestational weeks, fetus number and gender, to explore the incidence and the change of low birth weight infants(LBWI) from 2015 to 2019 in Yunfu, China, to explore its related risk factors, and finally to provide evidence and data t for government departments to formulate relevant policies to reduce the occurrence of LBWI. Methods An investigation was carried out based on the birth weight of 180,378 singleton live births delivered in 66 midwifery institutions in Yunfu during 2015-2019, univariate analysis of variance and multivariate logistic regression were used to analyze the influencing factors. Result The mean birth weight was(3,108. 33 ± 417. 61) g, and it showed an increasing trend with the increase of gestational weeks(P< 0. 001). The incidence of premature, low birth weight, macrosomia, small for gestational age and large than gestational agewas 4.97%, 5.18%, 2.13%, 14.76%, and 3.52%, respectively. The risk factors of low birth weight(LBW) were maternal age <20 years old(OR, 95% CI:0. 35,1. 23-1. 56), preterm birth(OR, 95% CI: 3. 44,29. 69-32. 92), Puerpera(OR,95% CI: 0. 36,1. 37-1. 51) and birth defects(OR, 95% CI:0. 95(2. 13-3. 15). The risk factors for macrosomia were maternal age ≥35 years old(OR, 95% CI:0. 59, 1. 66-1. 96), postterm birth(OR, 95% CI: 1. 24,2. 81-4. 21), male infant(OR, 95% CI: 0. 61,1. 73-1. 98)and non-guangdong household registration(OR, 95% CI: 0. 498,1. 46-1. 85). Conclusion The average birth weight, premature birth rate, macrosomia and low birth weight infant were lower than the national average level. Low birth weight infant is affected by maternal age, premature delivery, parturient and birth defects. Macrosomia was affected by sex, maternal age, psotterm birth and maternal household registration.

     

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