Umeå SIMSAM Lab: A register-based research program connecting childhood with lifelong health and welfare
SND-ID: ext0282-1.
Creator/Principal investigator(s)
Per Gustafsson - Umeå university, Department of Epidemiology and Global Health
Anneli Ivarsson - Umeå university, Department of Epidemiology and Global Health
Urban Lindgren - Umeå University, Department of Geography
Xavier de Luna - Umeå University, Umeå School of Business and Economics, Department of Statistics
Karina Nilsson - Umeå University, Department of Sociology
Research principal
Umeå University
- Department of Epidemiology and Global Health
Description
The Umea ̊ SIMSAM Lab in a nutshell:
1) The Lab was established for interdisciplinary research from childhood into lifelong health and welfare. It provides individual-level data on an entire nation’s population, covering demography, socioeconomics and health, otherwise rarely accessible to the re- search community.
2) Initiated in 2008 and launched in 2014, the Lab hosts comprehensive prospectively collected individual-level data on all 14.9 million individuals in Sweden between 1960 and 2010, including intergenerational links and geographical coordinates. The foundation is data from national registers at Statistics Sweden, rich in demography and socioeconomics. Health data come from national registers such as the Medical Birth Register, the Patient Register, the Prescribed Drug Register and the Celiac Disease Register. Regionally data have been enriched by systematic and long-term initiatives involving data collection on weight/height, lifestyle habits, self-rated health, injuries etc. Each person has a unique serial number that allows linkage on individual level from all data sources.
3)
1) The Lab was established for interdisciplinary research from childhood into lifelong health and welfare. It provides individual-level data on an entire nation’s population, covering demography, socioeconomics and health, otherwise rarely accessible to the re- search community.
2) Initiated in 2008 and launched in 2014, the Lab hosts comprehensive prospectively collected individual-level data on all 14.9 million individuals in Sweden between 1960 and 2010, including intergenerational links and geographical coordinates. The foundation is data from national registers at Statistics Sweden, rich in demography and socioeconomics. Health data come from national registers such as the Medical Birth Register, the Patient Register, the Prescribed Drug Register and the Celiac Disease Register. Regionally data have been enriched by systematic and long-term initiatives involving data collection on weight/height, lifestyle habits, self-rated health, injuries etc. Each person has a unique serial number that allows linkage on individual level from all data sources.
3) The combination of longitudinal and individual-level demographic, socioeconomic and health data provides unprecedented research opportunities. In addition, social relations within family, workplace and neighbourhood can be depicted as intergenerational links, and geographical coordinates are available.
4) Researchers are welcomed to make contact for collaborative projects. Contact information and details on data access are also available on: [www.simsam.org.umu.se].
Purpose:
We aim:
(1) to increase knowledge of social and environmental factors that are of importance to health and welfare during childhood and life as it continues, e.g. regarding family changes, exchanges between generations and geographical mobility.
(2) to increase knowledge of several childhood diseases (and injuries) considering the contribution of the social and economic context
(3) i) monitor the health and lifestyle of children from foetal life to adolescence, and identify any changes over time; ii) perform aetiological studies to increase the understanding of child-health determinants from a family and neighbourhood perspective; and iii) evaluate the Salut programme with respect to any changes in lifestyle, health and educational outcomes in the short and long term.
(4) to develop modern statistical methods for microdata research, primarily in order to perform aetiological studies with a life course perspective, and to assess complex interventions. Show less..
Unit of analysis
Population
Entire Swedish population between 1960 and 2010
Time Method
Sampling procedure
Time period(s) investigated
1960 – 2010
Data format / data structure
Geographic spread
Geographic location: Sweden
Responsible department/unit
Department of Epidemiology and Global Health
Ethics Review
Umeå - Ref. 2014-185-32Ö
Umeå - Ref. 2010-157-31Ö
Research area
Education (CESSDA Topic Classification)
Social stratification and groupings (CESSDA Topic Classification)
Society and culture (CESSDA Topic Classification)
Migration (CESSDA Topic Classification)
Employment (CESSDA Topic Classification)
Unemployment (CESSDA Topic Classification)
Children (CESSDA Topic Classification)
Youth (CESSDA Topic Classification)
Social welfare policy (CESSDA Topic Classification)
Compulsory and pre-school education (CESSDA Topic Classification)
Natural sciences (Standard för svensk indelning av forskningsämnen 2011)
Medical and health sciences (Standard för svensk indelning av forskningsämnen 2011)
Social sciences (Standard för svensk indelning av forskningsämnen 2011)
Demography (population, vital statistics, and censuses) (CESSDA Topic Classification)
Economics (CESSDA Topic Classification)
Health (CESSDA Topic Classification)
Income, property and investment/saving (CESSDA Topic Classification)
Higher and further education (CESSDA Topic Classification)
General health and well-being (CESSDA Topic Classification)
Health care services and policies (CESSDA Topic Classification)
Medication and treatment (CESSDA Topic Classification)
Diet and nutrition (CESSDA Topic Classification)
Specific diseases, disorders and medical conditions (CESSDA Topic Classification)
Wounds and injuries (CESSDA Topic Classification)
Language and linguistics (CESSDA Topic Classification)
Equality, inequality and social exclusion (CESSDA Topic Classification)
Family life and marriage (CESSDA Topic Classification)
Gender and gender roles (CESSDA Topic Classification)
Minorities (CESSDA Topic Classification)
Social and occupational mobility (CESSDA Topic Classification)
Media, communication and language (CESSDA Topic Classification)
Labour and employment (CESSDA Topic Classification)
Social conditions and indicators (CESSDA Topic Classification)
Social welfare policy and systems (CESSDA Topic Classification)
Censuses (CESSDA Topic Classification)
Economic conditions and indicators (CESSDA Topic Classification)
Labour and employment policy (CESSDA Topic Classification)
Public health (CESSDA Topic Classification)
Chaparro MP, de Luna X, Häggström J et al. Childhood family structure and women's adult overweight risk: A longitudinal study. Scandinavian Journal of Public Health, 2017; 45 (5) : 511-519. DOI: 10.1177/1403494817705997
DOI:
https://doi.org/10.1177/1403494817705997
Häggström J. Data-driven Confounder Selection via Markov and Bayesian Networks. Biometrics 2018; 74 (2) : 389-398. DOI: 10.1111/biom.12788
DOI:
https://doi.org/10.1111/biom.12788
Häggström J, Sampaio F, Eurenius E et al. Is the Salut Programme an effective and cost-effective universal health promotion intervention for parents and their children?: a register-based retrospective observational study. BMJ Open, 2017; 7 (9). DOI: 10.1136/bmjopen-2017-016732
DOI:
https://doi.org/10.1136/bmjopen-2017-016732
Namatovu F, Lindkvist M, Olsson C, et al. Season and region of birth as risk factors for coeliac disease a key to the aetiology? Archives of Disease in Childhood, 2016;101 (12) : 1114-1118. DOI: 10.1136/archdischild-2015-310122
BMJ Journals
DOI:
https://doi.org/10.1136/archdischild-2015-310122
Oudin A, Bråbäck L, Oudin Åström D et al. Association between neighbourhood air pollution concentrations and dispensed medication for psychiatric disorders in a large longitudinal cohort of Swedish children and adolescents. BMJ Open; 6 (6) DOI: 10.1136/bmjopen-2015-010004
DOI:
https://doi.org/10.1136/bmjopen-2015-010004
Lindkvist M, Ivarsson A, Silfverdal SA et al. Associations between toddlers' and parents' BMI, in relation to family sociodemography: a cross-sectional study. BMC Public Health 2015:15. DOI: 10.1186/s12889-015-2602-8
BMC Public Health
DOI:
https://doi.org/10.1186/s12889-015-2602-8
Mosquera P, San Sebastian, M, Ivarsson A et al. Are health inequalities rooted in the past? Income inequalities in metabolic syndrome decomposed by childhood conditions. European Journal of Public Health 2017; 27 (2) : 223-233. DOI: 10.1093/eurpub/ckw186
European Journal of Public Health
DOI:
https://doi.org/10.1093/eurpub/ckw186
Feldman I, Eurenius E, Häggstrom J et al. Effectiveness and cost-effectiveness of the Salut Programme: a universal health promotion intervention for parents and children-protocol of a register-based retrospective observational study. BMJ Open; 6 (8). DOI: 10.1136/bmjopen-2016-011202
DOI:
https://doi.org/10.1136/bmjopen-2016-011202
Holowko N, Chaparro MP, Nilsson K et al. Social inequality in pre-pregnancy BMI and gestational weight gain in the first and second pregnancy among women in Sweden. Journal of Epidemiology and Community Health 2015; 69 (12) : 1154-1161. DOI:10.1136/jech-2015-205598
NCBI
DOI:
https://doi.org/10.1136/jech-2015-205598
Namatovu F, Strandh M, Ivarsson A et al. Effect of childhood coeliac disease on ninth grade school performance: evidence from a population-based study. Archives of Disease in Childhood, 2018;103 (2) : 143-148. DOI: 10.1136/archdischild-2017-312830
DOI:
https://doi.org/10.1136/archdischild-2017-312830
Urban Lindgren, Karina Nilsson, Xavier de Luna, Anneli Ivarsson; Data Resource Profile: Swedish Microdata Research from Childhood into Lifelong Health and Welfare (Umeå SIMSAM Lab), International Journal of Epidemiology, Volume 45, Issue 4, 1 August 2016, Pages 1075-1075g, https://doi.org/10.1093/ije/dyv358
Oxford University Press
Namatovu F, Olsson C, Lindkvist M et al. Maternal and perinatal conditions and the risk of developing celiac disease during childhood. BMC Pediatrics 2016; 16. DOI: 10.1186/s12887-016-0613-y
BMC Pediatrics
DOI:
https://doi.org/10.1186/s12887-016-0613-y
Brännlund A, Strandh M, Nilsson K. Mental-health and educational achievement: the link between poor mental-health and upper secondary school completion and grades. Journal of Mental Health, 2017; 26 (4) : 318-325. DOI: 10.1080/09638237.2017.1294739
DOI:
https://doi.org/10.1080/09638237.2017.1294739
Heidrich S. Intergenerational mobility in Sweden: a regional perspective. Journal of Population Economics 2017; 30 (4) : 1241-1280
Baranowska-Rataj A, De Luna X, Ivarsson A. Does the number of siblings affect health in midlife?: Evidence from the Swedish Prescribed Drug Register. Demographic Research, Max Planck Institute for Demographic Research: 2016; 35 : 1259-1302. DOI: 10.4054/DemRes.2016.35.43
DOI:
https://doi.org/10.4054/DemRes.2016.35.43
Chaparro MP, Ivarsson A, Koupil I et al. Regional inequalities in pre-pregnancy overweight and obesity in Sweden, 1992, 2000, and 2010. Scandinavian Journal of Public Health, 2015; 43 (5) : 534-539. DOI: 10.1177/1403494815579478
SAGE journals
DOI:
https://doi.org/10.1177/1403494815579478
Mosquera PA, San Sebastian M, Waenerlund AK et al. Income-related inequalities in cardiovascular disease from mid-life to old age in a Northern Swedish cohort: a decomposition analysis. Social Science and Medicine, 2016; 149 : 135-144. DOI: 10.1016/j.socscimed.2015.12.017
DOI:
https://doi.org/10.1016/j.socscimed.2015.12.017
Leu T, Müller D. Maintaining inherited occupations in changing times: the role of tourism among reindeer herders in northern Sweden. Polar Geography 2016; (1) : 40-57. DOI: 10.1080/1088937X.2016.1148794
DOI:
https://doi.org/10.1080/1088937X.2016.1148794
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