丁可军;侯红林;舒莉萍;黄璟;吴昌学;
DING kejun;HOU Honglin;SHU Liping;HUANG Jing;WU Changxue;Department of Pediatrics,Langxi County People's Hospital;Guizhou Provincial Key Laboratory of Regenerative Medicine & Key Laboratory of Adult Stem Cell Transformation Research of Chinese Academy of Medical Sciences,School of Basic Medical Sciences,Guizhou Medical University;Department of Pediatrics,the Affiliated Hospital of Guizhou Medical University;Key Laboratory of Molecular Biology & Key Laboratory of Endemic and Minority Diseases of

• 1:郎溪县人民医院儿科
• 2:贵州医科大学基础医学院贵州省再生医学重点实验室&中国医学科学院成体干细胞转化研究重点实验室
• 3:贵州医科大学附属医院儿科
• 4:贵州医科大学分子生物学重点实验室&地方病与少数民族疾病教育部重点实验室

摘要(Abstract)：

目的探讨12 722例新生儿出生体质量及其影响因素。方法收集产科出生的12 722例活产新生儿及孕母围生期临床资料,统计新生儿(新生儿出生体质量等基本数据,早产儿、低出生体质量儿、巨大儿、过期产儿发生率)、产妇(产妇总数、初产妇人数、年龄、孕前BMI、孕期增重程度等)情况,对新生儿出生体质量的进行单因素分析,采用Logistics回归分析新生儿出生体质量的影响因素。结果 12 722例新生儿平均出生体质量为(3 324.37±457.64) g,男性高于女性(F=897.856,P<0.001);2012—2014年新生儿出生体质量逐年增加(F=36.552,P<0.001),2015—2019年逐年下降(F=10.663,P<0.001);2012—2019年早产儿的发生率总体保持递减趋势(χ²=37.751,P<0.001);2012—2019年产妇平均年龄逐年增大(χ2=57.865,P<0.001),30岁以上的产妇逐渐增多(χ2=37.751,P<0.001);2012—2019年产妇平均年龄逐年增大(χ2=57.865,P<0.001),30岁以上的产妇逐渐增多(χ²=49.537,P<0.001);2012年后孕前消瘦孕妇逐渐增多(χ2=19.228,P<0.001),孕前正常体质量产妇比例无明显改变(χ2=49.537,P<0.001);2012年后孕前消瘦孕妇逐渐增多(χ2=19.228,P<0.001),孕前正常体质量产妇比例无明显改变(χ²=0.806,P=0.652),孕前超重产妇比例下降(χ2=0.806,P=0.652),孕前超重产妇比例下降(χ²=14.559,P=0.001);单因素分析结果显示,不同性别、胎龄、出生胎儿数量新生儿的出生体质量比较,差异有统计学意义(P<0.001);不同年龄、文化水平、孕前BMI、孕期增重程度、羊水量、孕次、产次、身高以及有无患妊娠期高血压的产妇所产新生儿的出生体质量比较,差异有统计学意义(P<0.05);多Logistics回归分析果显示,新生儿出生体质量影响因素依次是双胎妊娠、胎龄、羊水量、妊娠期高血压、孕期增重程度、新生儿出生性别、产妇文化水平、妊娠糖期尿病、产妇年龄、孕前BMI、孕母身高、孕次以及产次。结论产妇年龄、孕前BMI、孕期增重程度、是否患妊娠期糖尿病和妊娠期高血压以及新生儿胎龄是新生儿出生体质量的影响因素。
Objective To investigate the birth weights of 12 722 newborns and its influencing factors.Methods The birth weights of 12 722 newborns and perinatal clinical data of pregnant women were collected in the department of obstetrics,including the newborn information(birth weight of newborns,incidence of premature newborns,low-birth weight newborns,mega newborns,and newborns after due date),maternal information(total number of mothers,number of primiparas,age,pre-pregnancy BMI,body weight gain during pregnancy,etc.).Univariate analysis was run on newborn birth weights.Logistic regression was used to analyze the influencing factors of newborn birth weights.Results The average birth weight of 12 722 newborns was(3 324.37±457.64) g.The average birth weight of male newborns was greater than that of female newborns(F=897.856,P <0.001).The birth average weight of newborns gradually increased from 2012 to 2014(F=36.552,P <0.001),but gradually decreased from 2015 to 2019(F=10.663,P <0.001).The incidence of preterm infants from 2012 to 2019 was decreased(χ2=14.559,P=0.001);单因素分析结果显示,不同性别、胎龄、出生胎儿数量新生儿的出生体质量比较,差异有统计学意义(P<0.001);不同年龄、文化水平、孕前BMI、孕期增重程度、羊水量、孕次、产次、身高以及有无患妊娠期高血压的产妇所产新生儿的出生体质量比较,差异有统计学意义(P<0.05);多Logistics回归分析果显示,新生儿出生体质量影响因素依次是双胎妊娠、胎龄、羊水量、妊娠期高血压、孕期增重程度、新生儿出生性别、产妇文化水平、妊娠糖期尿病、产妇年龄、孕前BMI、孕母身高、孕次以及产次。结论产妇年龄、孕前BMI、孕期增重程度、是否患妊娠期糖尿病和妊娠期高血压以及新生儿胎龄是新生儿出生体质量的影响因素。
Objective To investigate the birth weights of 12 722 newborns and its influencing factors.Methods The birth weights of 12 722 newborns and perinatal clinical data of pregnant women were collected in the department of obstetrics,including the newborn information(birth weight of newborns,incidence of premature newborns,low-birth weight newborns,mega newborns,and newborns after due date),maternal information(total number of mothers,number of primiparas,age,pre-pregnancy BMI,body weight gain during pregnancy,etc.).Univariate analysis was run on newborn birth weights.Logistic regression was used to analyze the influencing factors of newborn birth weights.Results The average birth weight of 12 722 newborns was(3 324.37±457.64) g.The average birth weight of male newborns was greater than that of female newborns(F=897.856,P <0.001).The birth average weight of newborns gradually increased from 2012 to 2014(F=36.552,P <0.001),but gradually decreased from 2015 to 2019(F=10.663,P <0.001).The incidence of preterm infants from 2012 to 2019 was decreased(χ²=37.751,P <0.001).The average age of mothers was increased yearly from 2012 to 2019(χ2=37.751,P <0.001).The average age of mothers was increased yearly from 2012 to 2019(χ²=57.865,P <0.001),and the number of parturients over 30 years old was gradually increased(χ2=57.865,P <0.001),and the number of parturients over 30 years old was gradually increased(χ²=49.537,P <0.001).After 2012,the numbers of lean women were gradually increased before pregnancy(χ2=49.537,P <0.001).After 2012,the numbers of lean women were gradually increased before pregnancy(χ²=19.228,P <0.001),and the proportion of women with normal body weight kept unchanged before pregnancy(χ2=19.228,P <0.001),and the proportion of women with normal body weight kept unchanged before pregnancy(χ²=0.806,P=0.652),but the proportion of overweight women before pregnancy was decreased(χ2=0.806,P=0.652),but the proportion of overweight women before pregnancy was decreased(χ²=14.559,P=0.001).Univariate analysis showed that birth weight of newborns in different gender,gestational age,and number of fetuses was statistically different(P <0.001).The birth weight of newborns was different in mothers with different ages,education levels,pre-pregnancy BMI,weight gain during pregnancy,amniotic fluid volume,gestation times,parity times,the body height,and the presence/absence of hypertension during pregnancy(P <0.05).Multi-Logistics regression analysis showed that R is 0.453 after adjustment.The influencing factors of birth weight of newborns were twins,gestational age,amniotic fluid volume,hypertension during pregnancy,weight gain during pregnancy,newborn gender,maternal education level,gestational diabetes,maternal age,BMI before pregnancy,maternal height,pregnancy times,and parity times.Conclusion Maternal age,pre-pregnancy BMI,weight gain during pregnancy,gestational age,gestational diabetes,and hypertension during pregnancy are the influencing factors of newborn birth weights.

关键词(KeyWords)： 新生儿;出生体质量;产妇;婴儿,极低出生体重;婴儿,早产;体质量指数;影响因素
newborn;birth weight;parturient;infant,very low birth weight;infant,premature birth;body mass index(BMI);influencing factors

Abstract:

Keywords:

基金项目(Foundation): 贵州省科技厅计划项目[黔科合基础（2019）1436号、黔科合平台人才（2019）5406];; 中央引导地方科技科技发展专项基金项目[黔科中引地（2019）4008]

作者(Authors): 丁可军;侯红林;舒莉萍;黄璟;吴昌学;
DING kejun;HOU Honglin;SHU Liping;HUANG Jing;WU Changxue;Department of Pediatrics,Langxi County People's Hospital;Guizhou Provincial Key Laboratory of Regenerative Medicine & Key Laboratory of Adult Stem Cell Transformation Research of Chinese Academy of Medical Sciences,School of Basic Medical Sciences,Guizhou Medical University;Department of Pediatrics,the Affiliated Hospital of Guizhou Medical University;Key Laboratory of Molecular Biology & Key Laboratory of Endemic and Minority Diseases of

DOI: 10.19367/j.cnki.2096-8388.2021.11.009

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