Abstract

The burden of infant mortality is not shared equally by all families, but clusters in high risk families. As yet, it remains unclear why some families experience more infant deaths than other families. Earlier research has shown that the risk of early death among infants may at least partially be transmitted from grandmothers to mothers. In this paper, we focus on the intergenerational transmission of mortality clustering in the Netherlands in the province of Zeeland between 1833 and 1912, using LINKS Zeeland, a dataset containing family reconstitutions based on civil certificates of birth, marriage and death. We assess whether intergenerational transmission of mortality clustering occurred in Zeeland, and if so, whether it can be explained on the basis of the demographic characteristics of the families in which the infants were born. In addition, we explore the opportunities for comparative research using the Intermediate Data Structure (IDS). We find that mortality clustering is indeed transmitted from grandmothers to mothers, and that the socioeconomic status of the family, the survival of mothers and fathers, and the demographic characteristics of the family affected infant survival. However, they explain the heterogeneity in infant mortality at the level of the mother only partially.

Highlights

  • The burden of infant mortality is not shared by all families: some families lose a considerably larger share of children in infancy than others, a phenomenon known as early-life mortality clustering

  • We have analyzed the intergenerational transmission of infant mortality risk between maternal grandmothers and mothers, using a large dataset from Zeeland, The Netherlands

  • The aim of this paper was threefold: first, to determine whether there existed intergenerational transmission of mortality risk in Zeeland; second, whether this intergenerational transmission can be explained by socioeconomic characteristics of the family, health of parents, and fast life histories; and third, to assess the advantages and potential disadvantages of conducting comparative research using the Intermediate Data Structure (IDS)

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Summary

Introduction

The burden of infant mortality is not shared by all families: some families lose a considerably larger share of children in infancy than others, a phenomenon known as early-life mortality clustering. In earlier research it has been shown that death clustering has an intergenerational component, as surviving children from high mortality families experience higher mortality among their own infants than individuals who grew up in low mortality families (Lindkvist & Broström, 2006; Vandezande, 2012). As yet, it is unknown how family histories of high infant mortality can be explained. Our third aim is methodological: we use the Intermediate Data Structure (IDS) for our research and reflect on opportunities for comparative research using this format

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