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close this bookCauses and Consequences of Intrauterine Growth Retardation, Proceedings of an IDECG workshop, November 1996, Baton Rouge, USA, Supplement of the European Journal of Clinical Nutrition (International Dietary Energy Consultative Group - IDECG, 1996, 100 pages)
close this folderSocioeconomic determinants of intrauterine growth retardation
View the document(introductory text...)
View the documentIntroduction
View the documentSocioeconomic disparities in IUGR: Mediating factors
View the documentSecular trends in IUGR and its determinants
View the documentAre there residual socioeconomic disparities in IUGR?
View the documentReferences
View the documentDiscussion

(introductory text...)

MS Kramer

Correspondence: Dr MS Kramer

Departments of Pediatrics and of Epidemiology and Biostatistics, McGill University, Faculty of Medicine, 1020 Pine Avenue West, Montreal, Quebec H3A 1A2, Canada

This paper reviews the evidence bearing on socioeconomic determinants of intrauterine growth retardation (IUGR). The primary focus is on those factors with a quantitatively important impact from a public health perspective, as indicated by their large etiologic fraction (population attributable risk). In developed countries in which a sizeable proportion of women smoke during pregnancy, cigarette smoking is associated with the largest etiologic fraction (by far), followed by low gestational weight gain (primarily due to low energy intake) and low pre-pregnancy body mass index (BMI). In developing countries where undernutrition is prevalent and pregnant women do not smoke, low maternal weight gain and BMI assume even greater importance, as does short maternal stature.

A major section of the paper concerns the large within-country socioeconomic disparities in IUGR and the possible mechanisms underlying these disparities. In developed countries, differences in cigarette smoking explain a large part of the disparity; low weight gain and short stature may also be important mediators in some settings. Future etiologic studies should assess a wide scope of potential determinants and will require large sample sizes to control for their mutually confounding effects.