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欧洲死产率的社会经济不平等:利用欧洲围产统计项目的常规数据衡量差距。

Socioeconomic inequalities in stillbirth rates in Europe: measuring the gap using routine data from the Euro-Peristat Project.

作者信息

Zeitlin Jennifer, Mortensen Laust, Prunet Caroline, Macfarlane Alison, Hindori-Mohangoo Ashna D, Gissler Mika, Szamotulska Katarzyna, van der Pal Karin, Bolumar Francisco, Andersen Anne-Marie Nybo, Ólafsdóttir Helga Sól, Zhang Wei-Hong, Blondel Béatrice, Alexander Sophie

机构信息

Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris Descartes University, 53 avenue de l'Observatoire, 75014, Paris, France.

Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

出版信息

BMC Pregnancy Childbirth. 2016 Jan 19;16:15. doi: 10.1186/s12884-016-0804-4.

Abstract

BACKGROUND

Previous studies have shown that socioeconomic position is inversely associated with stillbirth risk, but the impact on national rates in Europe is not known. We aimed to assess the magnitude of social inequalities in stillbirth rates in European countries using indicators generated from routine monitoring systems.

METHODS

Aggregated data on the number of stillbirths and live births for the year 2010 were collected for three socioeconomic indicators (mothers' educational level, mothers' and fathers' occupational group) from 29 European countries participating in the Euro-Peristat project. Educational categories were coded using the International Standard Classification of Education (ISCED) and analysed as: primary/lower secondary, upper secondary and postsecondary. Parents' occupations were grouped using International Standard Classification of Occupations (ISCO-08) major groups and then coded into 4 categories: No occupation or student, Skilled/ unskilled workers, Technicians/clerical/service occupations and Managers/professionals. We calculated risk ratios (RR) for stillbirth by each occupational group as well as the percentage population attributable risks using the most advantaged category as the reference (post-secondary education and professional/managerial occupations).

RESULTS

Data on stillbirth rates by mothers' education were available in 19 countries and by mothers' and fathers' occupations in 13 countries. In countries with these data, the median RR of stillbirth for women with primary and lower secondary education compared to women with postsecondary education was 1.9 (interquartile range (IQR): 1.5 to 2.4) and 1.4 (IQR: 1.2 to 1.6), respectively. For mothers' occupations, the median RR comparing outcomes among manual workers with managers and professionals was 1.6 (IQR: 1.0-2.1) whereas for fathers' occupations, the median RR was 1.4 (IQR: 1.2-1.8). When applied to the entire set of countries with data about mothers' education, 1606 out of 6337 stillbirths (25 %) would not have occurred if stillbirth rates for all women were the same as for women with post-secondary education in their country.

CONCLUSIONS

Data on stillbirths and socioeconomic status from routine systems showed widespread and consistent socioeconomic inequalities in stillbirth rates in Europe. Further research is needed to better understand differences between countries in the magnitude of the socioeconomic gradient.

摘要

背景

以往研究表明,社会经济地位与死产风险呈负相关,但对欧洲国家总体发生率的影响尚不清楚。我们旨在利用常规监测系统生成的指标评估欧洲国家死产率方面社会不平等的程度。

方法

从参与欧洲围产统计项目的29个欧洲国家收集了2010年死产数和活产数的汇总数据,涉及三个社会经济指标(母亲的教育水平、母亲和父亲的职业类别)。教育类别采用国际教育标准分类法(ISCED)编码,并分析为:小学/初中、高中和高等教育。父母的职业按照国际职业标准分类法(ISCO - 08)主要类别进行分组,然后编码为4类:无职业或学生、熟练/非熟练工人、技术人员/文职/服务职业以及经理/专业人员。我们计算了每个职业类别的死产风险比(RR)以及以最具优势类别(高等教育和专业/管理职业)为参照的人群归因风险百分比。

结果

19个国家提供了按母亲教育程度划分的死产率数据,13个国家提供了按母亲和父亲职业划分的死产率数据。在有这些数据的国家中,小学及初中教育程度的女性与高等教育程度的女性相比,死产的中位数RR分别为1.9(四分位间距(IQR):1.5至2.4)和1.4(IQR:1.2至1.6)。就母亲的职业而言,体力劳动者与经理和专业人员相比,结果的中位数RR为1.6(IQR:1.0 - 2.1),而就父亲的职业而言,中位数RR为1.4(IQR:1.2 - 1.8)。当将其应用于所有有母亲教育程度数据的国家时,如果所有女性的死产率与该国高等教育程度女性的死产率相同,那么6337例死产中的1606例(25%)将不会发生。

结论

常规系统提供的死产和社会经济地位数据表明,欧洲死产率存在广泛且一致的社会经济不平等现象。需要进一步研究以更好地理解各国在社会经济梯度程度方面的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e7e/4727282/c3f33fe429b3/12884_2016_804_Fig1_HTML.jpg

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