| 深圳市龙岗区169 627例新生儿出生体重及影响因素分析 |
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| 引用本文： | 邢萌萌,任路忠. 深圳市龙岗区169 627例新生儿出生体重及影响因素分析[J]. 现代预防医学, 2020, 0(4): 620-625 |
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| 作者姓名： | 邢萌萌 任路忠 |
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| 作者单位： | 深圳市龙岗区妇幼保健院儿童保健部，广东 深圳 518172 |
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| 摘 要： | 目的 分析深圳市龙岗区不同孕周、胎数和性别新生儿出生体重的情况，为妇幼健康工作提供数据支持。方法 采取整群抽样方法调查深圳市龙岗区2014 - 2017年26家助产医院所分娩的169 627例活产儿，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（3 220.71±450.85） g，并随孕周的增加呈升高趋势(P＜0.001)；早产儿发生率为5.08%，低体重儿发生率为4.37%，小于胎龄儿和大于胎龄儿发生率分别为9.96%、5.98%。多因素分析发现母亲初中及以下学历、高中或中专学历、母亲年龄＜20岁、年龄≥35岁、流动人口、剖宫产、早产、多胎和畸形是低出生体重发生的危险因素，aOR (95%CI) 分别为1.86(1.35～2.56)、1.66(1.21～2.27)、1.39(1.19～1.62)、1.18(1.08～1.29)、1.54(1.36～1.73)、1.13(1.06～1.2)、41.45(39.06～43.99)、10.30(9.24～11.48)和2.73(2.42～3.08)。母亲年龄≥35岁、产次 = 2、产次 = 3、产次≥4、剖宫产、过期产、男婴和畸形是巨大儿发生的危险因素，aOR(95%CI)分别为1.20(1.11～1.29)、1.29(1.21～1.37)、1.81(1.64～2)、2.64(2.22～3.13)、2.88(2.73～3.05)、2.80(2.23～3.52)、1.86(1.76～1.97)和1.34(1.14～1.57)。结论 该区新生儿平均出生体重接近全国平均水平，早产、低出生体重和巨大儿发生率低于全国平均水平；低体重儿受母亲低学历及年龄、剖宫产、早产、多胎和畸形的影响；巨大儿受高龄产妇、产次≥2次、过期产、畸形等的影响。
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| 关 键 词： | 新生儿 出生体重 影响因素 低体重儿 巨大儿 |
Analysis of birthweight and influencing factors of 169627 newborns in Longgang district of Shenzhen |
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| XING Meng-meng,REN Lu-zhong. Analysis of birthweight and influencing factors of 169627 newborns in Longgang district of Shenzhen[J]. Modern Preventive Medicine, 2020, 0(4): 620-625 |
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| Authors: | XING Meng-meng REN Lu-zhong |
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| Affiliation: | Ministry of Child Health, Shenzhen Longgang District Maternal and Child Health Care Hospital, Shenzhen, Guangdong 518172, China |
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| Abstract: | To analyze the birth weight of newborns with different gestational weeks, fetal numbers and gender in Longgang District of Shenzhen, and to provide scientific basis for maternal and child health work. Methods Cluster sampling method was used to select 169627 live births delivered in 26 midwifery hospitals in Longgang District of Shenzhen City from2014 to 2017, and their birth weight was analyzed. Single factor analysis of variance and multifactor logistic regression were used to analyze the influencing factors. Results The average birth weight was(3220.71 ±450.85) g, and increased with the gestational weeks(r =0.511, P <0.001). The incidences of premature infants, low birth weight infants, SGA and LGA were5.08%, 4.37%, 9.96% and 5.98%, respectively. Multivariate analysis showed that mothers’ below junior high school education, high school or secondary school education, mothers’ age < 20 years old, age ≥ 35 years old, floating population,cesarean section, premature delivery, multiple births and malformation were risk factors for low birth weight, with OR(95%CI) as 1.86(1.35-2.56), 1.66(1.21-2.27), 1.39(1.19-1.62), 1.18(1.08-1.29), 1.54(1.36-1.73), 1.13(1.06-1.2), 41.45(39.06-43.99), 10.30(9.24-11.48) and 2.73(2.42-3.08), respectively. Mothers’ age ≥ 35 years, parity = 2, parity = 3, parity≥ 4, cesarean section, overdue deliver, male and malformation were risk factors for macrosomia, with OR(95%CI) as 1.20(1.11-1.29), 1.29(1.21-1.37), 1.81(1.64-2), 2.64(2.22-3.13), 2.88(2.73-3.05), 2.80(2.23-3.52), 1.86(1.76-1.97) and 1.34(1.14-1.57), respectively. Conclusion The average birth weight of newborns in this area is close to the national average, and the incidence of premature birth, low birth weight and macrosomia was lower than the national average. Low birth weight infants are affected by mother’s low educational background, age, cesarean section, premature delivery, multiple births and malformations, and macrosomia is affected by mother’s older age, more than two times of delivery, overdue delivery and malformations. |
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| Keywords: | Newborn Birth weight Influencing factor Low birth weight Macrosomia |
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