陕西省妇女产前检查与子女出生体重关系的多水平线性模型分析

发布时间：2018-10-09 12:51

【摘要】：目的应用多水平线性模型分析陕西省妇女产前检查与子女出生体重的关系。方法采用分层多阶段随机抽样的方法,于2013年8月-11月间以一对一问卷调查的方式,收集陕西省2010-2013年怀孕且结局明确的15~49岁育龄妇女及其子女的信息。分别以妇女产前检查次数和子女出生体重作为自变量和因变量,通过逐步校正混杂因素共建立3个多水平线性模型,其中Model 1仅分析产前检查次数变量,Model 2在Model 1的基础上进一步校正相关社会人口学特征因素,Model 3在Model 2的基础上进一步校正产次、孕期保健、生活方式及孕期健康状况等因素。结果与产前检查5次组相比,产前检查≥5次组中妇女的文化程度较高,城镇居民、生育年龄在20~35岁之间、有工作的较多,家庭经济状况较好,经产妇较少,首次产检≤13周的较多,孕期服用叶酸的较多,孕期被动吸烟的较少,孕期患贫血的较多。从Model 1~Mode 3,产前检查≥5次组子女的出生体重均显著高于产前检查5次组者(P0.01)。Model 2与Model 1相比β估计值降低了28%。校正完所有混杂因素后,Model 3显示产前检查≥5次可以使子女的出生体重增加38.78g。结论提高产前检查次数,及时发现并调整相关因素,可提高子女的出生体重。
[Abstract]:Objective to analyze the relationship between prenatal examination and birth weight of children in Shaanxi province by using multi-level linear model. Methods stratified multi-stage random sampling was used to collect the information of 1549 year old women and their children who were pregnant from 2010 to 2013 in Shaanxi province by one-to-one questionnaire from August to November 2013. Three multilevel linear models were established using the number of antenatal examinations and the birth weight of the children as independent variables and dependent variables, respectively, by adjusting the confounding factors step by step. Among them, Model 1 only analyzed the number of antenatal examination variables: model 2. On the basis of Model 1, the relevant social demographic characteristics were further corrected. On the basis of Model 2, the factors of birth, health care during pregnancy, lifestyle and health status during pregnancy were further corrected. Results compared with the five antenatal examination groups, the education level of the women in the antenatal examination 鈮，

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