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Cited by 39

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Association of socioeconomic position with maternal pregnancy and infant health outcomes in birth cohort studies from Brazil and the UK

Matijasevich, A, Victora, C G, Lawlor, D A, Golding, J, Menezes, A M B, Araújo, C L, Barros, A J D, Santos, I S, Barros, F C, Smith, G Davey·2012·Journal of Epidemiology and Community Health
DOI 10.1136/jech.2010.108605
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Abstract

Background: Socioeconomic inequalities in health outcomes are dynamic and vary over time. Differences between countries can provide useful insights into the causes of health inequalities. The study aims to compare the associations between two measures of socioeconomic position (SEP)—maternal education and family income—and maternal and infant health outcomes between ALSPAC and Pelotas cohorts. Methods: Birth cohort studies were started in Avon, UK, in 1991 (ALSPAC) and in the city of Pelotas, Brazil, in 1982, 1993 and 2004. Maternal outcomes included smoking during pregnancy, caesarean section and delivery not attended by a doctor. Infant outcomes were preterm birth, intra-uterine growth restriction (IUGR) and breast feeding for <3 months. The relative index of inequality was used for each measure of SEP so that results were comparable between cohorts. Results: An inverse association (higher prevalence among the poorest and less educated) was observed for almost all outcomes, with the exception of caesarean sections where a positive association was found. Stronger income-related inequalities for smoking and education-related inequalities for breast feeding were found in the ALSPAC study. However, greater inequalities in caesarean section and education-related inequalities in preterm birth were observed in the Pelotas cohorts. Conclusions: Mothers and infants have more adverse health outcomes if they are from poorer and less well-educated socioeconomic backgrounds in both Brazil and the UK. However, our findings demonstrate the dynamic nature of the association between SEP and health outcomes. Examining differential socioeconomic patterning of maternal and infant health outcomes might help understanding of mechanisms underlying such inequalities.

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Research works printed but not linked: 35

  1. 10.1136/jech.2004.023531 · DOI
  2. Lynch J Kaplan G . Socioeconomic position. In: Berkman L Kawachi I , eds. Social epidemiology. Oxford: Oxford University Press 2000:13–35. · DOI
  3. 10.1136/bmj.331.7510.183 · DOI
  4. 10.1093/pubmed/fdi052 · DOI
  5. 10.2105/AJPH.2004.047969 · DOI
  6. 10.1136/bmj.305.6868.1554 · DOI
  7. 10.1136/jech.52.3.153 · DOI · Paper page
  8. Galobardes, 2007, Measuring socioeconomic position in health research, Br Med Bull, 81–82, 21, 10.1093/bmb/ldm001 · DOI
  9. 10.1111/j.1365-3016.2009.01042.x · DOI
  10. Spencer N Law C . Inequalities in pregnancy and early years and the impact across the life course: progress and future challenges. In: Dowler E Spencer N , eds. Challenging health inequalities. From Acheson to “Choosing health”. Bristol: The Policy Press, 2007. · DOI
  11. 10.1046/j.1365-3016.2001.00325.x · DOI · Paper page
  12. 10.1530/eje.0.151U119 · DOI
  13. Barros, 2006, Rev Saude Publica, 40, 402, 10.1590/S0034-89102006000300007 · DOI
  14. 10.1093/ije/dyi290 · DOI
  15. 10.1093/ije/dym177 · DOI
  16. 10.1016/0029-7844(95)00386-X · DOI
  17. 10.1542/peds.108.2.e35 · DOI
  18. 10.1016/0277-9536(91)90212-U · DOI · Paper page
  19. Royston, 2005, Multiple imputation of missing values: update, Stata J, 5, 188, 10.1177/1536867X0500500204 · DOI
  20. 10.1016/S0020-7292(01)00515-X · DOI
  21. Elo, 1992, Utilization of maternal health-care services in Peru: the role of wo men's education, Health Transit Rev, 2, 49
  22. 10.1016/0277-9536(95)00411-4 · DOI
  23. 10.1016/S0140-6736(05)71042-4 · DOI
  24. 10.1016/S0140-6736(06)69616-5 · DOI
  25. Parker, 1994, Associations between measures of socioeconomic status and low birth weight, small for gestational age, and premature delivery in the United States, Ann Epidemiol, 4, 271, 10.1016/1047-2797(94)90082-5 · DOI
  26. 10.1093/ije/30.1.81 · DOI
  27. 10.1093/ije/dyn112 · DOI · Paper page
  28. 10.1046/j.1440-1754.2001.00702.x · DOI
  29. 10.1016/S0140-6736(00)04004-6 · DOI
  30. 10.1093/ije/dyi162 · DOI
  31. Griffiths, 2007, Do early infant feeding practices vary by maternal ethnic group?, Public Health Nutr, 10, 957, 10.1017/S1368980007665513 · DOI
  32. Brady Sde, 2003, Protecting breastfeeding: Brazil's story, Pract Midwife, 6, 14
  33. 10.1590/S0102-311X2003000700005 · DOI
  34. Albernaz, 2008, Influence of breastfeeding support on the tendencies of breastfeeding rates in the city of Pelotas, RS, Brazil, from 1982 to 2004, J Pediatr (Rio J), 84, 560
  35. Davey Smith G Lynch J . Life course approaches to socioeconomic differentials in health. In: Kuh D Ben-Shlomo Y , eds. A life course approach to chronic disease epidemiology. Oxford: Oxford University Press, 2004:77–115. · DOI

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Metadata

Authors
Matijasevich, A., Victora, C. G., Lawlor, D. A., Golding, J., Menezes, A. M. B., Araújo, C. L., Barros, A. J. D., Santos, I. S., Barros, F. C., & Smith, G. D.
Venue
Journal of Epidemiology and Community Health
Publisher
BMJ
Published
2010-07-13
Volume
66
Issue
2
Pages
127-135
ISSN
  • 0143-005X
  • 1470-2738
DOI
10.1136/jech.2010.108605
Cited by
39
References
1
Language
en

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