导论:使用中间数据结构(IDS)的婴儿死亡率代际传递

L. Quaranta, H. Sommerseth
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引用次数: 9

摘要

以前的研究表明,婴儿死亡率集中在一部分家庭中,这一现象在历史人口和当代发展中国家都有观察到。在比利时也发现了死亡聚集性跨代传播,但尚不清楚这种影响是特定于所研究的环境还是也存在于其他地区。当前的文章介绍了一个特别的问题,专门分析在比利时,荷兰,瑞典北部和南部,和挪威的母婴线的婴儿死亡率的代际传递。利用中间数据结构(IDS),这五项实证研究创建了用于分析的数据集,并使用完全相同的程序运行了统计模型,这些程序也发表在特刊中。这些工作是为了比较目的而在几个数据库上使用IDS的第一组研究。在所有研究背景下都显示出一致的结果:在所有五个地区都可以看到婴儿死亡率在母系之间的转移。此外,研究表明,采用IDS进行历史人口研究具有很大的优势。事实上,这种结构使研究人员能够进行完全可比较、透明和可复制的研究。
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Introduction: Intergenerational Transmissions of Infant Mortality using the Intermediate Data Structure (IDS)
It has previously been shown that infant mortality clusters in a subset of families, a phenomenon which was observed in historical populations as well as contemporary developing countries. A transmission of death clustering across generations has also been shown in Belgium, but it is unknown whether such effects are specific to the studied context or are also found in other areas. The current article introduces a special issue devoted to analysing intergenerational transmissions of infant mortality across the maternal line in Belgium, the Netherlands, northern and southern Sweden, and Norway. Taking advantage of the Intermediate Data Structure (IDS), the five empirical studies created datasets for analysis and ran statistical models using exactly the same programs, which are also published within the special issue. These works are the first set of studies using the IDS on several databases for comparative purposes. Consistent results across the studied contexts were shown: transfers of infant mortality across the maternal line were seen in all five areas. In addition, the works have shown that there are large advantages of adopting the IDS for historical demographic research. The structure has in fact allowed researchers to conduct studies which were fully comparable, transparent and replicable.
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来源期刊
CiteScore
2.20
自引率
0.00%
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0
审稿时长
30 weeks
期刊最新文献
The Life Course of 20th-Century Lyon Silk Workers. A Pilot Study What was Killing Babies in Rostock? An Investigation of Infant Mortality Using Individual-Level Cause-of-Death Data, 1800–1904 Genetic and Shared-Environment Effects on Stature and Lifespan. A Study of Dutch Birth Cohorts (1785–1920) Based on Genealogies What was Killing Babies in Amsterdam? A Study of Infant Mortality Patterns Using Individual-Level Cause of Death Data, 1856–1904 Introduction: Content, Design and Structure of Major Databases with Historical Longitudinal Population Data
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