European Journal of Epidemiology

, Volume 22, Issue 8, pp 487–492 | Cite as

Defining thirds of schooling years in population studies

Original Paper

Abstract

When the schooling years are compared between individuals having different birth years, the steep rise in schooling years in the 20th century must be taken into account. The problem has particular importance in large international population studies, such as the WHO MONICA Project and its successor, the MORGAM Project. We present an algorithm that divides the individuals into three groups on the basis of the schooling years while preserving smooth behavior of the cut-points between consecutive birth years. The usage of method is demonstrated with data from Finland, Italy, Lithuania, and Scotland, which have different patterns of the estimated tertiles of schooling years.

Keywords

Categorization Education Population studies Socio-economic risk factors 

Abbreviations

MONICA

Multinational MONItoring of trends and determinants in CArdiovascular disease

MORGAM

MOnica Risk Genetics Archiving and Monograph

WHO

World Health Organization

Notes

Acknowledgements

The authors thank Prof. Jaakko Tuomilehto, National Public Health Institute, Prof. Abdonas Tamosiunas, Institute of Cardiology, Prof. Hugh Tunstall-Pedoe, University of Dundee, Prof. Giancarlo Cesana, Università degli studi di Milano-Bicocca and Prof. Marco Ferrario, Università degli studi dell’Insubria for making their MONICA data available and commenting the manuscript. This work was supported by the GenomEUtwin Project grant from the European Commission under the programme ‘Quality of Life and Management of the Living Resources’ of 5th Framework Programme (No. QLG2-CT-2002-01254) and by the Academy of Finland via its grant number 53646.

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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Juha Karvanen
    • 1
  • Giovanni Veronesi
    • 2
  • Kari Kuulasmaa
    • 1
  1. 1.International CVD Epidemiology Unit, Department of Health Promotion and Chronic Disease PreventionNational Public Health InstituteHelsinkiFinland
  2. 2.Dipartimento di Scienze Cliniche e BiologicheUniversità degli Studi dell’InsubriaVareseItaly

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