https://hlcs.nl/issue/feedHistorical Life Course Studies2023-01-10T11:29:32+01:00Marja Kosterehps-journal@iisg.nlOpen Journal Systems<p><em>Historical Life Course Studies</em> is the electronic journal of the European Historical Population Samples Network (EHPS-Net) and is published by the International Institute of Social History (IISH). The journal is the primary publishing outlet for research involved in the conversion of existing European and non-European large historical demographic databases into a common format, the Intermediate Data Structure, and for studies based on these databases. The journal publishes both methodological and substantive research articles.</p>https://hlcs.nl/article/view/12920Collaborations Between IPUMS and Genealogical Organizations, 1999-20222022-09-26T21:36:15+02:00Steven Rugglesruggles@umn.edu<p>From 1999 to 2019, IPUMS collaborated with genealogical organizations to develop massive individual-level census datasets spanning the 1790 through 1940 period, and we are currently working on the 1950 census. This research note describes how our genealogical collaborations came about. We focus on our collaborations with the Church of Jesus Christ of Latter-Day Saints Family and Church History Department (later known as FamilySearch) and the private genealogical companies HeritageQuest and Ancestry.com.</p>2023-01-05T00:00:00+01:00Copyright (c) 2023 Steven Ruggleshttps://hlcs.nl/article/view/12032Cause-Specific Infant Mortality in Copenhagen 1861–1911 Explored Using Individual-Level Data2022-06-06T10:43:27+02:00Louise Ludvigsenlouise.ludvigsen@hum.ku.dkBarbara Revuelta-Eugerciosbre@sa.dkAnne Løkkeal@hum.ku.dk<p>This study explores cause-specific infant mortality in Copenhagen between 1861 and 1911, using newly available individual-level data from The Copenhagen Burial Register, as part of a larger comparative project within the SHiP network (Studying the history of Health in Port Cities). The aim is to determine the dominant cause of death patterns for infants and to explore how the ICD10h coding system performs with the Danish individual level-historical causes of death. The results show that in Copenhagen, infant mortality began a distinct decline during the period of study (1861–1911), but the city experienced only very few changes in the cause of death pattern. While a transition from symptomatic to more specific causes of death took place over time, the largest killers overall were the water-food borne and airborne diseases, with a respectively summer and winter peak. The airborne and water-food borne diseases were mainly dominant amongst the post-neonates, whose mortality made up an increasingly larger share of infant deaths. Finally, the results show that although coding the Danish causes of death to the ICD10h has proven successful, more attention needs to be paid to different uses of the same cause of death by different nations, such as the case of atrophy.</p>2023-01-17T00:00:00+01:00Copyright (c) 2023 Louise Ludvigsen, Barbara Revuelta-Eugercios, Anne Løkkehttps://hlcs.nl/article/view/13565Construction of the Finnish Army in World War II Database2023-01-10T11:29:32+01:00Ilari Taskinenilari.taskinen@tuni.fi<p>This article introduces the Finnish Army in World War II Database (FA2W) currently under construction that is being built to study the effects of World War II on Finnish society. The database is a stratified sample of 4,253 representative of the men who served in the Finnish Army in World War II. The data have been gathered from the military service record collection of the Finnish Army, which holds files on practically all draft-age Finnish men of the birth cohort 1903–1926 and around 70% of the birth cohorts 1897–1902. The amount of data is extensive, containing over 60 different variables. The main part of the database consists of men's military careers, comprising longitudinal data on their positions in society and in the army (e.g., civilian/conscript/frontline service), military unit, military branch, task, rank, and service class. Other information includes socio-economic information from the draft and wartime and war experiences, such as wounds, illnesses, medical treatments, death, and honors. In the future the database will be expanded with men’s postwar life trajectories to study the long-term effects of the war.</p>2023-01-23T00:00:00+01:00Copyright (c) 2023 Ilari Taskinenhttps://hlcs.nl/article/view/12290What was Killing Babies in Trondheim? An Investigation of Infant Mortality Using Individual Level Cause of Death Data, 1830–19072022-07-07T21:55:06+02:00Hilde Leikny Sommersethhilde.sommerseth@uit.no<p>This paper examines infant mortality amongst newborns in Trondheim city, 1830–1907, working specifically with individual level cause of death data. Findings show that infant mortality in the city started to drop from 1895, primarily as a result of a decline in post-neonatal mortality. At the start of the decline air-borne diseases accounted for nearly half of the deaths, and water-food borne for around one third. The drop was predominantly driven by a decline in these two causal groups, and seasonal fluctuations became less pronounced. Because of the fall in post-neonatal mortality, the relative risk of dying amongst neonates rose towards the end of the period. Although 'convulsions' accounted for 50–70% of all infant deaths between 1830 and 1860, this cause had faded away to near insignificance by the beginning of the 1900s. Here we aim to assess the extent to which this particular aspect of decline can be explained by alterations to official instructions regarding registration and in registration practice itself. This article proposes that the decline in deaths from 'convulsions' can be explained by a relabelling of such deaths into 'congenital and birth disorders' amongst neonates, and a mix of 'water-food borne' and 'air-borne diseases' amongst post-neonates. This argument is supported by the fact that the timing of the decline corresponds with the introduction of cause of death certificates issued by medical practitioners, and which most likely resulted in fewer causes of death being reported by lay informants who could only offer vague symptoms rather than informed diagnoses.</p>2023-03-02T00:00:00+01:00Copyright (c) 2023 Hilde L. Sommersethhttps://hlcs.nl/article/view/12163The Demographic Database — History of Technical and Methodological Achievements2022-06-01T13:51:40+02:00Pär Vikströmpar.vikstrom@umu.seMaria Larssonmaria.larsson@umu.seElisabeth Engbergelisabeth.engberg@umu.seSören Edvinssonsoren.edvinsson@umu.se<p>The Demographic Data Base (DDB) at the Centre for Demographic and Ageing Research (CEDAR) at Umeå University has since the 1970s been building longitudinal population databases and disseminating data for research. The databases were built to serve as national research infrastructures, useful for addressing an indefinite number of research questions within a broad range of scientific fields, and open to all academic researchers who wanted to use the data. A countless number of customized datasets have been prepared and distributed to researchers in Sweden and abroad and to date, the research has resulted in more than a thousand published scientific reports, books, and articles within a broad range of academic fields. This article will focus on the development of techniques and methods used to store and structure the data at DDB from the beginning in 1973 until today. This includes digitization methods, database design and methods for linkage. The different systems developed for implementing these methods are also described and to some extent, the hardware used.</p>2023-03-30T00:00:00+02:00Copyright (c) 2023 Pär Vikström, Maria Larsson, Elisabeth Engberg, Sören Edvinsson