CALLS Hub conference, Friday March 23rd 2018
On Friday 23rd March, we hosted a very successful conference in St Andrews. The goals of the conference were to celebrate what CALLS Hub has achieved in the last 5.5 years by bringing together the 3 UK Census-based Longitudinal Studies, and also to showcase the next generation of young researchers who are using the Studies. We finished the day with an inspiring and challenging discussion panel session from four speakers drawn from experts in the fields of Local Authority research, academic research, charitable organisations and generating impact.
Below you will find a downloadable version of the conference booklet as well as links through to the abstracts of the talks. Many of these already include downloadable copies of the presentation slides.
- CONFERENCE BOOKLET (PDF 2MB)
- Mark McCann ‘Health Inequalities, economic transitions and multimorbidity in Northern Ireland’
- Megan Yates ‘Inequalities in rates of amenable mortality by individual socioeconomic position’
- Matthew Wallace ‘Can the salmon bias effect explain the migrant mortality advantage in England and Wales?’
- Tanya Wilson ‘Long-run Health and Mortality Effects of Exposure to Universal Health Care at Birth’
- Jennifer Thomson ‘Are people healthier when they live closer to forests? A longitudinal study of Scotland’
- Adriana Duta ‘Inequalities in school leavers’ labour market outcomes: do school subject choices matter? Evidence from the Scottish Longitudinal Study’
- Wei Xun ‘Exploring the economic outcomes of young people Not in Education, Employment or Training (NEET) in England and Wales using the Longitudinal Study’
- Matthew Iveson ‘Childhood cognitive function and later-life economic activity: Linking the Scottish Mental Survey 1947 to administrative data’
- Evan Williams ‘Neighbourhood Effects and Occupational Mobility in Scotland: limits to the ‘tenure-split’ approach’
- Mark Livingston ‘The processes of poverty decentralisation: evidence from the Scottish Longitudinal Study 1991-2011’
- Carolina Zuccotti ‘Ethnicity and neighbourhood attainment in England and Wales’
- Deborah Hyden ‘Migration Between Identity (In)congruent Places and its Effects on the Wellbeing of a Northern Irish Sample’
- Brad Campbell ‘Internal Migration in a Religiously Segregated Society, the case of Northern Ireland 1981-2011’
Video filmed and edited by Helen Packwood of the Population & Health Research Group, St Andrews University
The SLS-DSU YouTube channel now has presentations from the SLS 10th Anniversary Event held in Edinburgh on 7 Dec 2017. The videos have also now been embedded into each output entry in our database:
Introducing the Scottish Longitudinal Study (SLS) – Dr Robin Frost, NRS SLS Project Manager
Introducing the ONS Longitudinal Study (ONS LS) – Dr Oliver Duke-Williams, Senior Lecturer, Department of Information Studies, UCL
Introducing Northern Ireland Longitudinal Study (NILS) – Dr Ian Shuttleworth, NILS Director, Queen’s University Belfast
Introducing the Census & Administrative data LongitudinaL Studies Hub (CALLS-Hub) – Dr Fiona Cox, Project Manager CALLS Hub, University of St Andrews
Population Ageing in Scotland – Prof John MacInnes, School of Social and Political Science, University of Edinburgh
How the SLS has helped with the understanding of Scotland’s mortality excess – Dr Frank Popham, Senior Research Fellow, MRC/CSO Social and Public Health Sciences Unit, University of Glasgow
The role of geographical mobility in intergenerational social mobility: Linkage of the Scottish Longitudinal Study and Scottish Mental Survey 1947 data – Dr Lynne Forrest, Researcher, Administrative Data Research Centre Scotland (ADRC-S), University of Edinburgh
Administrative health data linked to the SLS, the potential opportunities for migration research – Dr David McCollum, Senior Lecturer School of Geography & Sustainable Development, University of St Andrews
Equality, religion and mortality in Scotland and Northern Ireland: the SLS on tour – Dr David Wright, Research Fellow, Administrative Data Research Centre Northern Ireland, Queen’s University Belfast
Varying mental health in the population across Scotland during the recent recession: Combining SLS data and other sources – Prof Sarah Curtis, Universities of Durham and Edinburgh
(download as a PDF 709kB)
Overview
The Northern Ireland Longitudinal Study, ONS Longitudinal Study (England and Wales), and Scottish Longitudinal Study include a vast range of data relevant to many different types of research question. Their combination of administrative, census and health data across time make them a rich and unique set of resources. Examples of the types of research enabled by these features of the LSs include: Assessing the contributions of the workplace and employment history, the local area, and individual health and social factors from childhood and adulthood to extended working life, The role of subject choices in secondary education on further education studies and labour market outcomes and Population characteristics of stigma, condition disclosure and chronic health conditions.
As an exploration of the many ways in which the LSs have been used, CALLS have conducted an analysis of the journal papers produced by LS researchers. This citation analysis demonstrates the impressive range of academic fields to which LS-based research has contributed in the last 7 years. Research featured in over 70 journals, and spanned more than 50 Scopus subject categories.
Research based on the LSs is regularly published in top quality international peer reviewed journals such as Demography, the International Journal of Epidemiology and Population, Space and Place. Eighteen papers included in the citation analysis were published in journals ranked within the top 5 for one of the following SCImago subject areas:
- Geography, Planning and Development
- Epidemiology
- Demography
- Health (Social Science)
- Urban Studies
- Community and Home Care
- Applied Psychology
- Pulmonary and Respiratory Medicine
- Biotechnology
Papers had excellent citation rates indicating the unique contribution LS data offer. Forty papers had been cited 10 or more times, and 13 papers had more than 20 citations.
LS | n papers published | Total citation count |
| NILS | 41 | 217 (avg 5.6) |
| ONS LS | 70 | 454 (avg 7.2) |
| SLS | 43 | 421 (avg 11.1) |
| All LSs | 139 | 1018 (avg 8.0) |
The subject categories of papers using the LSs reflect the strengths of the data that they offer. Whilst the categories were very similar, ONS LS’s top 5 included ‘Demography’, whereas the SLS and NILS had a higher proportion of ‘Health (social science)’ papers, likely due to their excellent linkages with health data.
Overall the analysis shows the valuable contribution of the NILS, ONS LS and SLS to a diverse range of academic fields including medicine, demography, geography, economics, business, psychology, environmental science and more.
Although we only focus on publications in academic journals in this report, LS research has considerable impact in other formats such as briefing notes, books and presentations to government, and has also formed the basis of a variety of PhD Theses. A full list of outputs can be explored in our outputs database.
The raw data for the analysis can be downloaded at the bottom of this page.
Methods
Using the CALLS Hub outputs database a total of 139 published papers from the period January 2010 – October 2017 were identified from the three LSs. It should be noted that whilst CALLS and the RSUs actively solicit LS users to notify them of all outputs, and also conduct occasional literature searches to maximise capture, it is possible that some further papers exist.
All papers published in journals or regularly produced official publications – such as ONS Population Trends – were included. We did not include working papers in this analysis. Citation counts were gathered from Scopus, taking the final counts as of 21 November 2017. Impact Factors were taken from the Scopus project SCImago using the SJR2 indicator.
Results
The LSs combined
Of the 139 papers identified, 16 were from non-peer-reviewed journals such as Population Trends. Ten papers used more than one LS for their analysis. (see figure 1)
figure 1. Number of published papers per LS, Jan 2010 – October 2017. n = 139
Papers from the three LSs were published in a total of 73 different journals, spanning 52 SCImago Subject Categories in 13 Subject Areas (figure 2). SJR Impact Factors for the journals ranged from 0.104 to 10.113, with an average of 1.573.
figure 2: Number of LS papers published by SCImago Subject Area [CLICK TO ENLARGE]
The 5 most frequent subject categories for LS papers were:
- Public Health, Environment & Occupational Health (39 papers)
- Geography, Planning & Development (27 papers)
- Medicine(misc) (26 papers)
- Health(social science) (22 papers)
- Epidemiology (21 papers)
The ten most cited papers from the three LSs were:
Northern Ireland Longitudinal Study
During the period January 2010 to October 2017, a total of 41 journal papers were found which had used NILS data, including 3 paper which had used all 3 LSs and one which used the SLS and NILS. Five NILS publications appeared journals with top-5 ranked impact factor.
NILS journal papers were published in 27 different journals, spanning 13 SCImago Subject Areas and 33 Subject Categories (see below). SJR Impact Factors for the papers ranged from 0.216 to 4.914, with an average of 1.631.
figure 3: Number of NILS papers published by SCImago Subject Area [CLICK TO ENLARGE]
The 5 most frequent subject categories for NILS papers were:
- Public Health, Environmental & Occupational Health (15 papers)
- Geography, Planning & Development (10 papers)
- Health(social science) (10 papers)
- Epidemiology (7 papers)
- Medicine(misc) (5 papers)
The 10 most cited NILS papers were:
ONS LS
During the period in question, 70 journal papers were identified as having been produced from ONS LS projects (including 9 papers which also used other LSs). Of these, 14 appeared in non peer-reviewed journals. Nine papers appeared in top-5 ranked journals.
ONS LS papers appeared in 42 journals, and covered 27 SCImago Subject Categories in 9 Subject Areas. SJR Impact Factors for the journals ranged from 0.104 to 10.113 with an average of 1.443.
figure 4: Number of ONS LS papers published by SCImago Subject Area [CLICK TO ENLARGE]
The most frequent subject categories in which ONS LS papers appeared were:
- Medicine(misc) (15 papers)
- Public Health, Environmental & Occupational Health (14 papers)
- Demography (12 papers)
- Geography, Planning & Development (11 papers)
- Epidemiology (11 papers)
The most cited ONS LS papers were:
Scottish Longitudinal Study
During the period January 2010 – October 2017, 43 SLS-based journal papers were identified (including 10 papers which also used other LSs). Of these, 2 appeared in non peer-reviewed journals. Four papers were published in top-5 ranked journals.
The SLS papers were published in 33 different journals, spanning 32 SCImago Subject Categories in 12 Subject Areas. SJR Impact Factors for the journals ranged from 0.173 to 5.895, with an average of 1.466.
figure 5: Number of SLS papers published by SCImago Subject Area [CLICK TO ENLARGE]
SLS papers appeared most frequently under the following subject categories:
- Public Health, Environmental & Occupational Health (13 papers)
- Medicine(misc) (8 papers)
- Geography, Planning & Development (7 papers)
- Health(social science) (7 papers)
- Epidemiology (4 papers)
- Agricultural and Biological Sciences (misc) (4 papers)
- Biochemistry, Genetics & Molecular Biology (4 papers)
The 10 most cited SLS papers were:
Explore the full database of LS outputs
Raw data (Excel, 83kB)
Dawn Everington, SLS-DSU
SLS-DSU have been working on an exciting new data development which will soon be available to researchers. We have been given access to postcode of residence and date of each NHS GP registration since 1 January 2000. This provides users with a means of locating their SLS sample continuously rather than only once every 10 years at the time of the censuses.
Besides projects primarily interested in internal migration, these data will be also useful to those investigating how the local environment affects outcomes, such as the recent project which looked at proximity to green space, forests and health services. The length of time spent at each address could be incorporated into analyses, or location might be explored in relation to wider policy measures or events such as the economic recession.
An early test dataset was supplied to project 2016_003 ‘Economic change and internal population dynamics: an innovative study of new residential mobilities in Scotland’. Results from these analyses have been presented at several seminars and conferences (see list at the bottom of the project page) and there are plans to publish papers.
The online data dictionary has now been updated with Table E10 which contains the raw data and some derived variables. Although many of these cannot be accessed by researchers due to the risk of disclosure (marked as restriction level 2), we are in the process of producing further derived variables such as flags, which users can access. We will soon produce a working paper which will document the data sources and processing of the data, describe the variables in table E10, compare the enumeration postcodes with the postcodes recorded in the NHS data, and provide other information that will be helpful when using and interpreting these data.
For further information see this blog post or contact SLS-DSU at sls@lscs.ac.uk.
As our previous post demonstrates, the UK Administrative Data Research Network Annual Research Conference held on 1-2 June 2017 in Edinburgh provided a great showcase for research from the ONS LS, NILS and SLS studies. The conference included a series of sessions sponsored by CALLS Hub, promoting the use of census longitudinal studies and/or population linkage studies to contribute to the substantive themes of health/mortality inequality or migration. Here we round up the excellent presentations given in those sessions.
Session 1G – Premature mortality
Megan Yates: “Incidence of conditions considered amenable to health care in Scotland” – abstract and slides
Ania Zylbersztejn: “Comparison of under-5 mortality in England and in Sweden using electronic birth cohorts from administrative linked data” – abstract and slides
Session 2G – Health inequalities
Sarah Curtis: “Long term illness and reported mental health conditions during recession: exploring evidence from the Scottish Longitudinal Study” – abstract
Jonathan Minton: “Profiling, benchmarking and exploring Age- Period-Cohort patterns in mortality in the Affluent World: examples from Scotland and beyond” – abstract and slides
Genevieve Cezard: “Mortality and ethnicity: minorities fare better than the White Scottish majority in the Scottish Health and Ethnicity Linkage Study (SHELS)” – abstract and slides
Session 3G – Internal migration
Annemarie Ernsten: “How can we better understand internal migration?” – abstract
Brian Foley: “Measuring Internal Migration: Comparing Census and Administrative Data” – abstract and slides
Session 4G – Health & migration (full video below)
Anne Kouvonen: “All-cause mortality by income level in working- age migrants and the majority settled population of Finland: a follow-up from 2001 to 2014” – abstract and video
Kishan Patel: “How well does registry data answer questions about migrant mental health? An analysis of author concerns from a scoping review” – abstract and video
Frances Darlington-Pollock: “The move, the person, or the area? Exploring risk of Cardiovascular Disease in New Zealand” – abstract and video
In addition, CALLS Hub were please to sponsor one of the conference Keynote speakers, Prof Johan Mackenbach, Professor of Public Health and chair of the Dept of Public Health at the Erasmus MC in the Netherlands:
Health inequalities in Europe. New insights from comparative studies
Abstract Socioeconomic inequalities in mortality are present in all European countries, but their magnitude and development over time is highly variable. In a series of on-going comparative studies we exploit these variations to identify the macro- and micro-level determinants of these mortality inequalities. In my presentation I will summarize the results of these studies, and relate our findings to current insights into the explanation of health inequalities in modern welfare states.
For more information about the conference please visit adrn2017.net
The UK Administrative Data Research Network held a very successful conference from 1-2 June 2017 at the Royal College of Surgeons, Edinburgh (find out more at adrn2017.net). You can find information about the CALLS Hub-sponsored sessions in the next post.
Amongst the many fascinating talks and posters at the conference, the SLS, NILS and ONS LS were well represented. Here we have gathered together information about these talks to showcase the range of high quality LS research presented. Click through to read the abstracts and download slides (where available):
- Exploring the ‘Scottish Excess’ with eDatashield and linkage of an adjusted Index of Multiple Deprivation Ball, W., Kyle, R. & Atherton, I. [SLS, ONS LS]
- Forests, health and inequalities in Scotland: a longitudinal analysis using linked administrative data Thomson, J., Pearce, J., Shortt, N. & Ward Thompson, C. [SLS]
- Why do escalator regions increase upward social mobility? Linkage of the Scottish Mental Survey 1947 with Scottish Longitudinal Study data and Census data Forrest, L., Dibben, C., Feng, Z., Deary, I. & Popham, F. [SLS]
- Measuring Internal Migration: Comparing Census and Administrative Data Foley, B., Champion, T. & Shuttleworth, I. [NILS] – slides available (PDF 1MB)
- Health consequences of young people not in employment, education or training: analysis of mortality risk in Scotland Feng, Z., Everington, D., Ralston, K. & Dibben, C. [SLS]
- Creating a postcode history from medical sources for longitudinal analyses Everington, D., Huang, Z. & Feng, Z. [SLS]
- Inequalities in school leavers’ labour market outcomes: do school subject choices matter? Iannelli, C. & Duta, A. [SLS]
- Childhood cognitive function and later-life economic activity: Linking the Scottish Mental Survey 1947 to administrative data Iveson, M., Deary, I.J. & Dibben, C. [SLS] – video recording available
- Linked datasets to model occupational mobility in Britain Nightingale, G., Ernsten, A. & McCollum, D. [SLS] – slides coming soon
- A sibling study of whether maternal exposure to different types of natural space is related to birth weight Richardson, E., Shortt, N., Pearce, J. & Mitchell, R. [SLS]
- Selective Religious Migration across the Life course: Evidence from Northern Ireland 1981-2011 Campbell, B., Shuttleworth, I. & McName, C. [NILS] – slides available (PDF 3MB)
- Long term illness and reported mental health conditions during recession: exploring evidence from the Scottish Longitudinal Study Curtis, S., Pearce, J. & Dibben, C. [SLS]
- How can we better understand internal migration? Ernsten, A., McCollum, D., Feng, Z., Everington, D. & Huang, Z. [SLS]
- The ‘art’ of cohort and study construction in administrative datasets: examples from Scotland Williamson, L. [SLS] – video recording available
- Adding contextual admin data to the ons longitudinal study for england and wales: the example of house price data Dennett, A., Duke-Williams, O. & Shelton, N. [ONS LS]
- Who are the Laggards and the disengaged – address accuracy of NHS registration data Randall, M., Newman, J., Jathooni, R. & Hayter, C. [ONS LS]
Fiona Cox, CALLS Hub
Fiona Cox of CALLS Hub recently took part in a joint webinar with the UK Data Service on ‘Flexible individual-level data from the Census: Census micro data and longitudinal studies’, introducing the census-based longitudinal studies (ONS LS, NILS and SLS).
Conventional census outputs take the form of counts of persons, households or other units with particular characteristics. Census microdata, on the other hand, is a flexible form of data which provides a wide range of characteristics for large samples of anonymous census respondents. The data look a lot like the sort of data you would get if you conducted a survey yourself, however they have additional interesting features, most notably that they have unusually large sample sizes.
This introductory webinar discussed the two types of census microdata available for researchers to use:
- Cross-sectional census microdata (known simply as ‘census microdata’ or samples of anonymised records) which take samples of data from individuals at one point in time, to allow comparisons between groups
- Longitudinal census microdata held in datasets which link census records over time with other key records such as those from birth and death registrations
We describe some of the key features of the data, show how they can be used in research and explain how users can access the data.
On Friday 18th March we held the largest of our UK LS Roadshows to date and we hope the audience enjoyed the day as much as we did.
The first part of the Roadshow showcased research examples from all three LSs – the Scottish Longitudinal Study, Northern Ireland Longitudinal Study and ONS LS, and you can download slides here:
| Pathways between socioeconomic disadvantage and growth in the Scottish Longitudinal Study, 1991-2001 (PDF 4MB) Dr Richard Silverwood, London School of Hygiene and Tropical Medicine |
| Ethnic differences in intragenerational social mobility between 1971 and 2011 Dr Saffron Karlsen, University of Bristol |
| Are Informal Caregivers in Northern Ireland more likely to suffer from Anxiety and Depression? A Northern Ireland Longitudinal (NILS) Data Linkage-Study Dr Stefanie Doebler, Queen’s University Belfast |
On Nov 10th, our UK LS Roadshow moved to Bristol as part of the ESRC Festival of Social Science.
The first part of our Roadshow showcased some of the different types of research that the ONS LS for England & Wales has been used for, and you can download the slides here:
| Family size and educational attainment in England and Wales Prof Tak Wing Chan, University of Warwick |
| Overall and Cause-specific Mortality differences by Partnership status in 21st Century England and Wales (PDF 645 kB) Sebastian Franke, University of Liverpool |
| Ethnic differences in intragenerational social mobility between 1971 and 2011 Dr Saffron Karlsen, University of Bristol |
On Tuesday 4th November 2014, the SLS-DSU (supported by National Records of Scotland and CALLS Hub), held a launch event to announce the linkage of 2011 Census data to the Scottish Longitudinal Study.
The event was held at Royal College of Physicians, Edinburgh, and around 70 people attended to hear about the new data, as well as examples of how it could be used. The welcome was given by Prof Andrew Morris, Scottish Government Chief Scientist.
UPDATE: We are pleased to now offer you the option of downloading full audio-plus-slide movies of the presentations as well as PDF copies of the slides.
Introduction
- Programme (PDF 463KB)
- Welcome – Prof Andrew Morris, Chief Scientist, Scottish Government (audio only m4a 18.5MB)
- Introduction and the 2011 Census Link – Mrs Susan Carsley, Project Manager, SLS-DSU (Slides only PDF 3MB; Audio+Slides m4v 125.2MB)
Research using the 2011 link – the data in practice
- Examining the occupational scarring of young people not in education, employment or training (NEET) in 1991 – Dr Kevin Ralston, Support Officer, SLS-DSU (Slides only PDF 918KB; Audio+Slides m4v 73.1MB)
- Stability and change in ethnic groups in Scotland – Dr Zhiqiang Feng, Support Officer, SLS-DSU (Slides only PDF 1MB; Audio+Slides m4v 100.3MB)
- Demographic Change in the Scottish Jewish Community 2001 – 2011 – Prof Gillian Raab, Statistician, SLS-DSU (Slides only PDF 820KB; Audio+Slides m4v 108MB)
- Understanding the impact of fertility history on health outcomes in later life – Prof Chris Dibben, Director, SLS-DSU (Slides only PDF 1MB; Audio+Slides m4v 139.2MB)
Looking forward
- CALLS Hub and the UK Context – Dr Fiona Cox, Project Manager, CALLS Hub (Slides only PDF 5MB; Audio+Slides m4v 92.7MB)
- Synthetic Data Estimation for the UK Longitudinal Studies – SYLLS – Dr Beata Nowok, University of Edinburgh (Slides only PDF 862KB; Audio+Slides m4v 91MB)
- The ADRC-S & Future Developments – Prof Chris Dibben, Director, ADRC-Scotland (Slides only PDF 2MB; Audio+Slides m4v 145.2MB)
