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Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study

Author

Listed:
  • Angelo d’Errico
  • Fulvio Ricceri
  • Silvia Stringhini
  • Cristian Carmeli
  • Mika Kivimaki
  • Mel Bartley
  • Cathal McCrory
  • Murielle Bochud
  • Peter Vollenweider
  • Rosario Tumino
  • Marcel Goldberg
  • Marie Zins
  • Henrique Barros
  • Graham Giles
  • Gianluca Severi
  • Giuseppe Costa
  • Paolo Vineis
  • LIFEPATH Consortium

Abstract

Background: Several social indicators have been used in epidemiological research to describe socioeconomic position (SEP) of people in societies. Among SEP indicators, those more frequently used are education, occupational class and income. Differences in the incidence of several health outcomes have been reported consistently, independently from the indicator employed. Main objectives of the study were to present the socioeconomic classifications of the social indicators which will be employed throughout the LIFEPATH project and to compare social gradients in all-cause mortality observed in the participating adult cohorts using the different SEP indicators. Methods: Information on the available social indicators (education, own and father’s occupational class, income) from eleven adult cohorts participating in LIFEPATH was collected and harmonized. Mortality by SEP for each indicator was estimated by Poisson regression on each cohort and then evaluated using a meta-analytical approach. Results: In the meta-analysis, among men mortality was significantly inversely associated with both occupational class and education, but not with father’s occupational class; among women, the increase in mortality in lower social strata was smaller than among men and, except for a slight increase in the lowest education category, no significant differences were found. Conclusions: Among men, the proposed three-level classifications of occupational class and education were found to predict differences in mortality which is consistent with previous research. Results on women suggest that classifying them through their sole SEP, without considering that of their partners, may imply a misclassification of their social position leading to attenuation of mortality differences.

Suggested Citation

  • Angelo d’Errico & Fulvio Ricceri & Silvia Stringhini & Cristian Carmeli & Mika Kivimaki & Mel Bartley & Cathal McCrory & Murielle Bochud & Peter Vollenweider & Rosario Tumino & Marcel Goldberg & Marie, 2017. "Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-32, May.
  • Handle: RePEc:plo:pone00:0178071
    DOI: 10.1371/journal.pone.0178071
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    References listed on IDEAS

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    1. Yuwei Qi & Annemarie Koster & Martin van Boxtel & Sebastian Köhler & Miranda Schram & Nicolaas Schaper & Coen Stehouwer & Hans Bosma, 2019. "Adulthood Socioeconomic Position and Type 2 Diabetes Mellitus—A Comparison of Education, Occupation, Income, and Material Deprivation: The Maastricht Study," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    2. Costanza Pizzi & Matteo Richiardi & Marie-Aline Charles & Barbara Heude & Jean-Louis Lanoe & Sandrine Lioret & Sonia Brescianini & Virgilia Toccaceli & Martine Vrijheid & Franco Merletti & Daniela Zug, 2020. "Measuring Child Socio-Economic Position in Birth Cohort Research: The Development of a Novel Standardized Household Income Indicator," IJERPH, MDPI, vol. 17(5), pages 1-17, March.
    3. Cristiano Piccinelli & Paolo Carnà & Silvia Stringhini & Gabriella Sebastiani & Moreno Demaria & Michele Marra & Giuseppe Costa & Angelo d’Errico, 2018. "The contribution of behavioural and metabolic risk factors to socioeconomic inequalities in mortality: the Italian Longitudinal Study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(3), pages 325-335, April.

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