基于出生队列家庭社会经济梯度复合指标构建  

Establishment of an integrated index for family socioeconomic gradients based on the Birth Cohort Study in Guangzhou

作　　者：魏雪灵 林珊珊 屠思 韦冬梅 何健荣 邱琇 WEI Xue-ling;LIN Shan-shan;TU Si(Division of Birth Cohort Study,Guangzhou Women and Children's Medical Center,Guangzhou Medical University,Guangzhou,Guangdong Province 510623,China)

机构地区：[1]广州市妇女儿童医疗中心出生队列研究室,广东510623 [2]广州市妇女儿童医疗中心妇女保健部广东省高水平临床重点专科(妇幼保健)

出　　处：《中国公共卫生》2022年第3期325-329,共5页Chinese Journal of Public Health

基　　金：国家重点研发计划项目(2016YFC1000304–1);广州市卫生健康科技重大项目(20191A031002);广东省科学技术厅资助项目(2019B030316014)。

摘　　要：目的构建从整体上反映母儿所处社会经济状况(SES)的家庭社会经济梯度复合指标。方法收集2012年2月-2016年6月加入广东省广州出生队列的16175对孕妇及其子代的社会、经济等相关信息,分别采用主成分分析(PCA)和Z-score加和法构建家庭SES评分,并比较不同社会经济变量组合用于评价社会经济梯度的一致性。结果母亲文化程度、父亲文化程度、母亲月均收入、父亲月均收入、母亲就职状态、房产拥有情况、私家车拥有情况、人均居住面积、居住楼层9个变量中,除母亲就职状态与人均居住面积和居住楼层不存在相关关系外,其余各变量均两两相关(r=-0.036~0.585,均P<0.01)。基于此9个社会经济变量运用PCA和Z-score加和法构建的复合评分方法判断孕妇SES分组的加权Kappa系数为0.737(95%CI=0.730~0.743),2种方法的一致性较强,均能较好地反映母儿的家庭社会经济梯度;其中由母亲文化程度、父亲文化程度、母亲月均收入、父亲月均收入、房产拥有情况、私家车拥有情况、人均居住面积和居住楼层8个家庭SES变量Z-score加和法与母亲文化程度、父亲文化程度、母亲月均收入、父亲月均收入、母亲就职状态、房产拥有情况、私家车拥有情况、人均居住面积、居住楼层9个SES变量PCA法所得分组一致性最强Kappa值为0.774(0.768~0.780)。结论基于母亲文化程度、父亲文化程度、母亲月均收入、父亲月均收入、母亲就职状态、房产拥有情况、私家车拥有情况、人均居住面积、居住楼层9个变量的综合指标能较客观地反映母儿所处的家庭社会经济梯度。Objective To construct an integrated index of family socioeconomic gradient for providing a valid assessment of socioeconomic status(SES)of the mother and her child/children in a family.Methods The participants of the study were 16175 pregnant women and their children enrolled between February 2012 and June 2016 from the Birth Cohort Study in Guangzhou.Information on social and economic condition of the children′s parents were collected.Principal components analysis(PCA)and standard score(Z-score)summative method were used to construct a family SES score.The consistency among different combinations of socioeconomic variables in the evaluation on families′socio-economic gradient were compared.Results Significant pairwise correlations were observed among 9 parental socioeconomic variables(maternal education,paternal education,average maternal monthly income,average paternal monthly income,maternal employment,family real estate ownership,private car ownership,per capita living space,and residential floor),except for the associations of maternal employment with per capita living space and residential floor;the coefficients for the correlations ranged from-0.036 to 0.585(P<0.01 for all).The SES grouping of the pregnant women by the integrated index established using PCA method on account of the nine variables was consistent well with that using Z-score summative method,with a weighted Kappa coefficient of 0.737(95%confidence interval[95%CI]:0.730-0.743);both of the indexes could accurately reflect the mothers′and children′s family socioeconomic gradients.An integrated index established using the Z-score summative method based on 8 parental socioeconomic variables showed the best consistence with that using PCA method on account of the 9 parental socioeconomic variables,with a weighted Kappa coefficient of 0.774(95%CI:0.768-0.780).Conclusion The integrated index established in the study using PCA method and Z-score summative method based on 9 parental socioeconomic variables could be used to conduct valid asses

关 键 词：家庭社会经济梯度 复合指标 构建 出生队列 

分 类 号：R195[医药卫生—卫生统计学]