gms | German Medical Science

62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

17.09. - 21.09.2017, Oldenburg

Tutorial in Life Course Epidemiology

Meeting Abstract

  • Huibert Burger - Department of General Practice, University of Groningen, University Medical Center Groningen, Groningen, Niederlande
  • Sacha La Bastide - Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Niederlande
  • Harold Snieder - Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Niederlande
  • Christine zu Eulenburg - Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Niederlande

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Oldenburg, 17.-21.09.2017. Düsseldorf: German Medical Science GMS Publishing House; 2017. DocAbstr. 173

doi: 10.3205/17gmds064, urn:nbn:de:0183-17gmds0647

Published: August 29, 2017

© 2017 Burger et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

There has been a steady increase in life expectancy over the last few decades. However, this does not automatically mean that these added years are spent in good health. Therefore, the research focus of the University Medical Center Groningen is on Healthy Ageing. The ambition is to contribute to the EU-goal of "an increase of the average health span by two years" as formulated by the European Innovation Partnership on Active and Healthy Ageing. Healthy ageing is considered a lifelong process that starts even before conception, with parents who pass on their genes and provide environments containing challenges and opportunities to achieve a healthy life course, or one that is characterized by a relatively late onset of disease. Life course epidemiology is the principle scientific discipline for the study of healthy aging. Amongst others, it addresses long term effects of genetic predisposition, physical or environmental exposures like lifestyle or dietary intake on later health or disease risks and emphatically includes psychosocial mechanisms. As the life course commonly includes periods of (chronic) disease, the domain of life course epidemiology comprises both the general population and clinical populations, thereby including the study of prognosis and its determinants.

This area of research raises some typical analytical and practical issues. One of the major challenges is the inference of causality of risk factors mediating health outcomes based on observational data. The current tutorial will briefly introduce the conceptual framework of life course epidemiology, give an overview of different statistical methods investigating causality such as structural equation models, propensity scoring and mediation analysis after which we will focus in-depth on challenges of applications of mediation analysis to observational data based on a running example of a published study investigating whether the effect of maternal smoking on birth weight is mediated by methylation markers.