scholarly journals The Intergenerational Transfer of Infant Mortality in Northern Norway during the 19th and Early 20th Centuries

2018 ◽  
Vol 7 ◽  
pp. 69-87 ◽  
Author(s):  
Hilde Leikny Sommerseth
Keyword(s):  
Infant Mortality ◽  
Intergenerational Transmission ◽  
Infant Death ◽  
Intergenerational Transfer ◽  
Maternal Line ◽  
Northern Norway ◽  
Infant Deaths ◽  
Intermediate Data ◽  
19Th And 20Th Century ◽  
Longitudinal Dataset

This paper is one of a series of five studying the intergenerational transfer of infant mortality down the maternal line. All five studies share the same theoretical and methodological design, and use data derived from a standard database format: the Intermediate Data Structure (IDS). The data for the research reported in this paper were derived from a longitudinal dataset covering the 19th and 20th century population of the province of Troms in Northern Norway. Our results suggest that there was an element of intergenerational transmission in women’s risk of experiencing an infant death; the children of a woman whose mother had had a high number of infant deaths also had a greater risk of dying before their first birthday. The risk of an infant death occurring among the children of daughters from such ‘high risk’ families was at least 30 per cent higher than that amongst infants born to the daughters of mothers who had experienced zero infant deaths.

scholarly journals Like Mother, Like Daughter. Intergenerational Transmission of Infant Mortality Clustering in Zeeland, the Netherlands, 1833-1912

2018 ◽  
Vol 7 ◽  
pp. 28-46
Author(s):  
Ingrid K. Van Dijk ◽  
Kees Mandemakers
Keyword(s):  
Infant Mortality ◽  
The Netherlands ◽  
Intergenerational Transmission ◽  
Comparative Research ◽  
Early Death ◽  
Demographic Characteristics ◽  
Infant Survival ◽  
Infant Deaths ◽  
Intermediate Data ◽  
The Family

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.

scholarly journals Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden

2018 ◽  
Vol 7 ◽  
pp. 106-122
Author(s):  
Göran Broström ◽  
Sören Edvinsson ◽  
Elisabeth Engberg
Keyword(s):  
Infant Mortality ◽  
Infant Death ◽  
Comparative Research ◽  
Demographic Data ◽  
Intergenerational Transfers ◽  
Intermediate Data ◽  
International Comparative ◽  
Further Development ◽  
Analytical Power ◽  
Intergenerational Transmissions

This contribution is part of an international comparative initiative with the aim to assess the analytical power of the Intermediate Data Structure (IDS) in a study of possible intergenerational transmissions of death in infancy. An evaluation of the data in applied research will be useful for further development of the IDS structure and for its future use in comparative research. An additional methodological aim for this part of the study is to evaluate and compare different models for statistical analysis of intergenerational transfers. The analysis is based on a cohort of mothers born 1826-1854, whose experiences of infant mortality are compared to the ones of the previous generation, the grandmothers. Data are collected from Swedish parish records, available in the database POPUM at the Demographic Data Base in Umeå. The analysis shows a clear association between infant mortality among mothers and grandmothers. The probability of an infant death for a woman is increased if her mother also had experienced an infant death. Having tested for different approaches of analysis, we found that simple models with few restrictive assumptions gave similar results as more complicated models. Since it is easy to feel confident in the models with the weakest assumptions, we argue that such models are preferred for this type of analysis.

scholarly journals Intergenerational Transfers in Infant Mortality in Southern Sweden, 1740-1968

2018 ◽  
Vol 7 ◽  
pp. 88-105
Author(s):  
Luciana Quaranta
Keyword(s):  
Socioeconomic Status ◽  
Infant Mortality ◽  
Southern Sweden ◽  
Infant Deaths ◽  
Intermediate Data ◽  
Rural Parishes ◽  
Social And Cultural Factors ◽  
Death Clustering ◽  
Early Life Exposures ◽  
Intergenerational Transmissions

Studies conducted in historical populations and developing countries have evidenced the existence of clustering in infant deaths, which could be related to genetic inheritance, early life exposures, and/or to social and cultural factors such as education, socioeconomic status or parental care. A transmission of death clustering has also been found across generations. This paper is one of five studies that analyses intergenerational transmissions in infant mortality by using a common program to create the dataset for analysis and run the statistical models with data stored in the Intermediate Data Structure. The results of this study show that in five rural parishes in Scania, the southernmost province of Sweden, during the years 1740-1968 infant mortality was transmitted across generations. Children whose maternal grandmothers experienced two or more infant deaths had higher risks of dying in infancy. The results remained consistent when restricting the sample only to cases where the grandmother had been observed for her entire reproductive history or when controlling for socioeconomic status. When running sex specific models, significant effects of the number of infant deaths of the grandmother were observed for girls but not for boys.

Regional Contribution of Previable Infant Deaths to Infant Mortality Rates in the United States

2019 ◽  
Author(s):  
MacKenzie Lee ◽  
Eric S. Hall ◽  
Meredith Taylor ◽  
Emily A. DeFranco
Keyword(s):  
United States ◽  
Infant Mortality ◽  
Infant Death ◽  
The United States ◽  
Mortality Rates ◽  
Population Based ◽  
Infant Mortality Rate ◽  
Infant Deaths ◽  
Live Births ◽  
Healthy People 2020

Objective Lack of standardization of infant mortality rate (IMR) calculation between regions in the United States makes comparisons potentially biased. This study aimed to quantify differences in the contribution of early previable live births (<20 weeks) to U.S. regional IMR. Study Design Population-based cohort study of all U.S. live births and infant deaths recorded between 2007 and 2014 using Centers for Disease Control and Prevention's (CDC's) WONDER database linked birth/infant death records (births from 17–47 weeks). Proportion of infant deaths attributable to births <20 vs. 20 to 47 weeks, and difference (ΔIMR) between reported and modified (births ≥20 weeks) IMRs were compared across four U.S. census regions (North, South, Midwest, and West). Results Percentages of infant deaths attributable to birth <20 weeks were 6.3, 6.3, 5.3, and 4.1% of total deaths for Northeast, Midwest, South, and West, respectively, p < 0.001. Contribution of < 20-week deaths to each region's IMR was 0.34, 0.42, 0.37, and 0.2 per 1,000 live births. Modified IMR yielded less regional variation with IMRs of 5.1, 6.2, 6.6, and 4.9 per 1,000 live births. Conclusion Live births at <20 weeks contribute significantly to IMR as all result in infant death. Standardization of gestational age cut-off results in more consistent IMRs among U.S. regions and would result in U.S. IMR rates exceeding the healthy people 2020 goal of 6.0 per 1,000 live births.

scholarly journals Introduction: Intergenerational Transmissions of Infant Mortality using the Intermediate Data Structure (IDS)

2018 ◽  
Vol 7 ◽  
pp. 1-10
Author(s):  
Luciana Quaranta ◽  
Hilde Leikny Sommerseth
Keyword(s):  
Data Structure ◽  
Infant Mortality ◽  
Empirical Studies ◽  
Special Issue ◽  
Maternal Line ◽  
Demographic Research ◽  
Intermediate Data ◽  
Current Article ◽  
Death Clustering ◽  
Intergenerational Transmissions

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.

scholarly journals Program for Studying Intergenerational Transmissions in Infant Mortality Using the Intermediate Data Structure (IDS)

2018 ◽  
Vol 7 ◽  
pp. 11-27
Author(s):  
Luciana Quaranta
Keyword(s):  
Data Structure ◽  
Infant Mortality ◽  
Demographic Data ◽  
Intergenerational Transfers ◽  
Infant Deaths ◽  
Intermediate Data ◽  
Different Populations ◽  
Social And Cultural Factors ◽  
Death Clustering ◽  
Intergenerational Transmissions

Studies conducted in historical populations and developing countries have evidenced the existence of clustering in infant deaths, which could be related to genetic inheritance and/or to social and cultural factors such as education, socioeconomic status or parental care. A transmission of death clustering has also been found across generations. One way of expanding the knowledge on intergenerational transfers in infant mortality is by conducting comparable studies across different populations. The Intermediate Data Structure (IDS) was developed as a strategy aimed at simplifying the collecting, storing and sharing of historical demographic data. The current work presents two programs that were developed in STATA to construct a dataset for analysis and run statistical models to study intergenerational transfers in infant mortality using databases that are stored in the IDS. The programs use information stored in the IDS tables and after elaborating such information produce Excel files with results. They can be used with any longitudinal database constructed from church books, civil registers, or population registers.

scholarly journals Mortality Clustering in the Family. Fast Life History Trajectories and the Intergenerational Transfer of Infant Death in Late 19th- and Early 20th-Century Antwerp, Belgium

2018 ◽  
Vol 7 ◽  
pp. 47-68
Author(s):  
Robyn Donrovich ◽  
Paul Puschmann ◽  
Koen Matthijs
Keyword(s):  
Life History ◽  
Infant Mortality ◽  
Life History Theory ◽  
Life Experience ◽  
Living Environment ◽  
Intergenerational Transfer ◽  
Survival Models ◽  
Infant Deaths ◽  
Increased Risk ◽  
The Family

In this article, we investigate to what degree infant mortality risk was transferred from grandmothers to mothers in the Antwerp district, Belgium, during the late nineteenth and early twentieth century. We also investigate some of the determinants of infant mortality and explore the role of the family - paternal factors (presence, age, and social class), mother’s childcare experience, and infant household location - in the survival of infants. The data for this research were retrieved from the Antwerp COR*-database and were transferred into the Intermediate Data Structure (IDS). The results of the survival models show that women whose mother experienced three or more infant deaths had a 77% higher risk of experiencing the loss of an infant themselves, compared to women whose mother experienced zero infant deaths in the past. These results remained robust after controlling for potential mediating and moderating factors. The results on the age of the mother at birth, her marital status, as well as the living environment suggest that at least part of the intergenerational transfer in infant mortality can be explained on the basis of life history theory: women who grew up in a high-risk family tended to reproduce earlier and faster, and often raised their children without a partner. In this way they unconsciously created riskier conditions for the raising of their own infants: the mothers had little life experience, limited resources, and often no assistance from a partner. As a result, their own children were also at an increased risk of dying in infancy.

scholarly journals A hazai csecsemőhalandóságban 2019-ben tapasztalt emelkedés lehetséges okainak vizsgálata

2021 ◽  
Vol 162 (21) ◽  
pp. 830-838
Author(s):  
Andrea Valek ◽  
József Vitrai ◽  
Lilla Erdei ◽  
Gabriella Branyiczkiné Géczy ◽  
Bea Pászthy ◽  
...  
Keyword(s):  
Infant Mortality ◽  
Infant Death ◽  
Sudden Infant Death ◽  
Perinatal Period ◽  
Infant Mortality Rate ◽  
Hospital Environment ◽  
Sudden Infant ◽  
Infant Deaths ◽  
Central Statistical ◽  
Professional Assessment

Összefoglaló. Bevezetés: Magyarországon a csecsemőhalandóság 2014 óta folyamatosan javult, azonban 2019-ben az előző évi adathoz képest 11%-kal magasabb érték mutatkozott. Célkitűzés: A vizsgálat célja a 2019. évi kedvezőtlenebb csecsemőhalálozási mutató lehetséges összetevőinek feltárása. Módszer: A 2018. és 2019. évi csecsemőhalálozási adatokat hasonlítottuk össze a csecsemő kora, a halál oka és a gyógyintézeti, illetve nem gyógyintézeti elhalálozás szerint. A vizsgálathoz a Központi Statisztikai Hivatal adatait használtuk. A trendvizsgálatnál 2010-től elemeztük az adatokat. A nem gyógyintézeti haláleseteket 10 évre összevonva járásonként térképesen ábrázoltuk. Eredmények: 2018-ban 304, 2019-ben 335 csecsemő halt meg Magyarországon, a csecsemőhalálozási arányszám 3,4 ezrelékről 3,8 ezrelékre emelkedett. A 2019. évi érték az előző évtizedek trendjére illesztett görbe alapján megfelelt a várható értéknek. 2019-ben a 0–27 napos csecsemőhalálozás alig változott a 2018. évihez képest, a 28–364 napos korban bekövetkezett halálesetek száma viszont növekedett. A vizsgált évben 59%-kal emelkedett a nem gyógyintézeti csecsemőhalálozás. A 2019. évi csecsemőhalálozás növekedéséért 74%-ban a nem gyógyintézeti esetek voltak felelősek. A nem gyógyintézeti halálozás döntő többsége késői csecsemőkorban következett be. A járásonkénti, 10 évre összevont, nem intézményben elhunyt csecsemők számában és 1000 élve születésre vonatkozó arányában ötszörös területi különbségek mutatkoztak. A halálokok közül a perinatalis szakban keletkező bizonyos állapotok miatt meghalt csecsemők száma emelkedett a leginkább, a nem gyógyintézeti halálozás esetében pedig a hirtelen csecsemőhalál szindrómában meghaltaké. Következtetés: 2019-ben kiugróan magas volt a nem gyógyintézeti, késői csecsemőhalálozás száma és részaránya, ezen esetek feltűnő regionális halmozódást mutattak. A csecsemőhalandóság csökkentésének hatásos eszköze lehetne a jövőben minden egyes csecsemőhalál részletes szakmai értékelése. Orv Hetil. 2021; 162(1): 830–838. Summary. Introduction: In Hungary, infant mortality has been steadily declining since 2014, but in 2019 it increased by 11% compared to 2018.Objective: The aim of our study is to explore the possible components of the above increase. Method: Ten-year trends of infant mortality were analized and compared by age, cause, place of deaths (hospital or non-hospital environment) and location, using Central Statistical Office data. Results: There were 304 infant deaths in Hungary in 2018 and 335 in 2019. Infant mortality rate rose from 3.4‰ to 3.8‰, however, it was in line with the expected value based on the curve fitted to the trend of previous decades. In 2019, 0–27-day infant mortality basically did not change compared to 2018, while the number of deaths at 28–364 days of age increased. Non-hospital infant mortality increased by 59% in 2019 and these cases accounted for 74% of the total increase in infant mortality; the vast majority of these deaths occurred in late infancy. There were fivefold regional differences in the number of non-hospital infant deaths. Among the causes of death, the conditions related to the perinatal period and sudden infant death syndrome increased the most. Conclusion: In Hungary, the number and proportion of non-hospital infant mortality was remarkably high in 2019 compared to previous years. These cases showed a striking regional accumulation. An effective tool for reducing infant mortality could be an appropriate professional assessment of each infant death in the future. Orv Hetil. 2021; 162(21): 830–838.

scholarly journals Health capabilities and the determinants of infant mortality in Brazil, 2004–2015: an innovative methodological framework

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexandre Bugelli ◽  
Roxane Borgès Da Silva ◽  
Ladislau Dowbor ◽  
Claude Sicotte
Keyword(s):  
Infant Mortality ◽  
Educational Attainment ◽  
Health Professionals ◽  
Capita Income ◽  
Mortality Rates ◽  
Fertility Rate ◽  
Employment Rate ◽  
Infant Deaths ◽  
Bolsa Familia ◽  
Per Capita

Abstract Background Despite the implementation of a set of social and health policies, Brazil has experienced a slowdown in the decline of infant mortality, regional disparities and persistent high death levels, raising questions about the determinants of infant mortality after the implementation of these policies. The objective of this article is to propose a methodological approach aiming at identifying the determinants of infant mortality in Brazil after the implementation of those policies. Method A series of multilevel panel data with fixed effect nested within-clusters were conducted supported by the concept of health capabilities based on data from 26 Brazilian states between 2004 and 2015. The dependent variables were the neonatal, the infant and the under-five mortality rates. The independent variables were the employment rate, per capita income, Bolsa Família Program coverage, the fertility rate, educational attainment, the number of live births by prenatal visits, the number of health professionals per thousand inhabitants, and the access to water supply and sewage services. We also used different time lags of employment rate to identify the impact of employment on the infant mortality rates over time, and household income stratified by minimum wages to analyze their effects on these rates. Results The results showed that in addition to variables associated with infant mortality in previous studies, such as Bolsa Família Program, per capita income and fertility rate, other factors affect child mortality. Educational attainment, quality of prenatal care and access to health professionals are also elements impacting infant deaths. The results also identified an association between employment rate and different infant mortality rates, with employment impacting neonatal mortality up to 3 years and that a family income below 2 minimum wages increases the odds of infant deaths. Conclusion The results proved that the methodology proposed allowed the use of variables based on aggregated data that could hardly be used by other methodologies.

County Poverty, Urban–Rural Classification, and the Causes of Term Infant Death

2021 ◽  
pp. 003335492199916
Author(s):  
Yousra A. Mohamoud ◽  
Russell S. Kirby ◽  
Deborah B. Ehrenthal
Keyword(s):  
Infant Death ◽  
Congenital Malformations ◽  
Developed Countries ◽  
The United States ◽  
Term Infant ◽  
High Poverty ◽  
Infant Deaths ◽  
County Poverty ◽  
Urban Rural ◽  
Poverty Levels

Objective Higher mortality among full-term infants (term infant deaths) contributes to disparities in infant mortality between the United States and other developed countries. We examined differences in the causes of term infant deaths across county poverty levels and urban–rural classification to understand underlying mechanisms through which these factors may act. Methods We linked period birth/infant death files for 2012-2015 with US Census poverty estimates and county urban–rural classifications. We grouped the causes of term infant deaths as sudden unexpected death in infancy (SUDI), congenital malformations, perinatal conditions, and all other causes. We computed the distribution and relative risk of overall and cause-specific term infant mortality rates (term IMRs) per 1000 live births and 95% CIs for county-level factors. Results The increase in term IMR across county poverty and urban–rural classification was mostly driven by an increase in the rate of SUDI. The relative risk of term infant deaths as a result of SUDI was 1.6 (95% CI, 1.5-1.8) times higher in medium-poverty counties and 2.3 (95% CI, 1.2-2.5) times higher in high-poverty counties than in low-poverty counties. Cause-specific IMRs of congenital malformations, perinatal conditions, and death from other causes did not differ by county poverty level. We found similar trends across county urban–rural classification. Sudden infant death syndrome was the main cause of SUDI across both county poverty levels and urban–rural classifications, followed by unknown causes and accidental suffocation and strangulation in bed. Conclusions Interventions aimed at reducing SUDI, particularly in high-poverty and rural areas, could have a major effect on reducing term IMR disparities between the United States and other developed countries.

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