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Assessment of Child Anthropometry in a Large Epidemiologic Study
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Explaining educational inequalities in birthweight: the Generation R Study.

Pauline W Jansen1, Henning Tiemeier, Caspar W N Looman

  • 1The Generation R Study Group, Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands. p.w.jansen@erasmusmc.nl

Paediatric and Perinatal Epidemiology
|September 25, 2009
PubMed
Summary

Lower educational attainment in pregnant women is linked to lower birthweight. Factors like smoking and financial concerns explain much of this disparity, highlighting the need for accessible interventions for lower socio-economic groups.

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Area of Science:

  • Public Health
  • Epidemiology
  • Social Determinants of Health

Background:

  • Socio-economic status (SES) is consistently linked to lower birthweight.
  • The specific mechanisms through which SES influences birthweight are not fully understood.

Purpose of the Study:

  • To investigate the explanatory factors underlying the association between maternal educational level and birthweight.
  • To identify key mediators and moderators in the SES-birthweight relationship.

Main Methods:

  • Population-based cohort study in the Netherlands.
  • Analysis of data from 3546 pregnant women of Dutch origin.
  • Statistical adjustment for various demographic, anthropometric, psychosocial, material, and lifestyle factors.

Main Results:

  • Infants of the lowest educated women had significantly lower birthweight (-123 g) compared to the highest educated.
  • Factors like parity, maternal age, hypertension, parental characteristics, financial concerns, and smoking explained a significant portion of the difference.
  • Adjustment for working hours and BMI increased the observed birthweight difference.
  • Full adjustment reduced the educational disparity in birthweight by 66%.

Conclusions:

  • Significant educational inequalities in birthweight persist.
  • Pregnancy characteristics, anthropometrics, psychosocial/material situation, and lifestyle factors substantially explain these inequalities.
  • Targeting smoking cessation in lower-educated pregnant women could reduce birthweight disparities.
  • Accessible interventions are crucial for pregnant women in lower socio-economic strata to address birthweight inequalities.