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Mother's education and the risk of preterm and small for gestational age birth: a DRIVERS meta-analysis of 12 European cohorts

Ruiz, Milagros, Goldblatt, Peter, Morrison, Joana, Kukla, Lubomír, Švancara, Jan, Riitta-Järvelin, Marjo, Taanila, Anja, Saurel-Cubizolles, Marie-Josèphe, Lioret, Sandrine, Bakoula, Chryssa, Veltsista, Alexandra, Porta, Daniela, Forastiere, Francesco, van Eijsden, Manon, Vrijkotte, Tanja G M, Eggesbø, Merete, White, Richard A, Barros, Henrique, Correia, Sofia, Vrijheid, Martine, Torrent, Maties, Rebagliato, Marisa, Larrañaga, Isabel, Ludvigsson, Johnny, Olsen Faresjö, Åshild, Hryhorczuk, Daniel, Antipkin, Youriy, Marmot, Michael, Pikhart, Hynek·2015·Journal of Epidemiology and Community Health

Abstract

Background: A healthy start to life is a major priority in efforts to reduce health inequalities across Europe, with important implications for the health of future generations. There is limited combined evidence on inequalities in health among newborns across a range of European countries. Methods: Prospective cohort data of 75 296 newborns from 12 European countries were used. Maternal education, preterm and small for gestational age births were determined at baseline along with covariate data. Regression models were estimated within each cohort and meta-analyses were conducted to compare and measure heterogeneity between cohorts. Results: Mother's education was linked to an appreciable risk of preterm and small for gestational age (SGA) births across 12 European countries. The excess risk of preterm births associated with low maternal education was 1.48 (1.29 to 1.69) and 1.84 (0.99 to 2.69) in relative and absolute terms (Relative/Slope Index of Inequality, RII/SII) for all cohorts combined. Similar effects were found for SGA births, but absolute inequalities were greater, with an SII score of 3.64 (1.74 to 5.54). Inequalities at birth were strong in the Netherlands, the UK, Sweden and Spain and marginal in other countries studied. Conclusions: This study highlights the value of comparative cohort analysis to better understand the relationship between maternal education and markers of fetal growth in different settings across Europe.

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Research works printed but not linked: 25

  1. 10.2471/BLT.08.062554 · DOI · Paper page
  2. 10.1038/pr.2014.122 · DOI
  3. WHO Regional Office for Europe. Review of social determinants and the health divide in the WHO European Region: Final Report. 2013.
  4. 10.1183/09031936.01.00012401 · DOI
  5. Kukla, 2004, Influence of prenatal and postnatal exposure to passive smoking on infants’ health during the first six months of their life, Cent Eur J Public Health, 12, 157
  6. 10.1111/j.1365-3016.1997.tb00007.x · DOI
  7. Drouillet, 2009, Maternal fatty acid intake and fetal growth: evidence for an association in overweight women. The ‘EDEN mother-child’ cohort (study of pre- and early postnatal determinants of the child's development and health), Br J Nutr, 101, 583, 10.1017/S0007114508025038 · DOI
  8. 10.1111/j.1365-3016.1987.tb00088.x · DOI
  9. 10.1177/0883073810379640 · DOI
  10. Porta, 2007, Enrolment and follow-up of a birth cohort in Rome, Epidemiol Prev, 31, 303
  11. Porta, 2006, Prospective cohort studies of newborns in Italy to evaluate the role of environmental and genetic characteristics on common childhood disorders, Ital J Pediatr, 32, 350
  12. 10.1093/ije/dyq128 · DOI
  13. Eggesbo, 2009, Levels of hexachlorobenzene (HCB) in breast milk in relation to birth weight in a Norwegian cohort, Environ Res, 109, 559, 10.1016/j.envres.2009.04.001 · DOI
  14. 10.1017/S1368980008003595 · DOI
  15. 10.1093/ije/dyr054 · DOI
  16. 10.1186/1471-2431-8-42 · DOI
  17. 10.1016/0029-7844(95)00386-X · DOI
  18. Harper S , Lynch J . Methods for measuring cancer disparities: using data relevant to healthy people 2010 cancer-related objectives. Bethesda, MD: National Cancer Institute, 2005. · DOI
  19. 10.2307/2527727 · DOI
  20. 10.2105/AJPH.84.6.932 · DOI
  21. 10.1136/hrt.2009.182436 · DOI
  22. 10.2307/2137234 · DOI · Paper page
  23. Graham H . Introduction: The Challenge of Health Inequalities. In: Graham H, ed . Understanding Health Inequalities. 2nd edn. Berkshire: Open University Press, 2009:1–21.
  24. 10.1017/S0012162206001988 · DOI
  25. 10.1016/j.ejogrb.2003.09.004 · DOI

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Metadata

Authors
Ruiz, M., Goldblatt, P., Morrison, J., Kukla, L., Švancara, J., Riitta-Järvelin, M., Taanila, A., Saurel-Cubizolles, M.-J., Lioret, S., Bakoula, C., Veltsista, A., Porta, D., Forastiere, F., van Eijsden, M., Vrijkotte, T. G. M., Eggesbø, M., White, R. A., Barros, H., Correia, S., Vrijheid, M., Torrent, M., Rebagliato, M., Larrañaga, I., Ludvigsson, J., Olsen Faresjö, Å., Hryhorczuk, D., Antipkin, Y., Marmot, M., & Pikhart, H.
Venue
Journal of Epidemiology and Community Health
Publisher
BMJ
Published
2015-04-24
Volume
69
Issue
9
Pages
826-833
ISSN
  • 0143-005X
  • 1470-2738
Cited by
188
References
4
Language
en

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