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To study the etiology and consequences of intrauterine growth retardation (IUGR), a prospective study was organized by the National Institute of Child Health and Human Development, NIH, with the Universities of Trondheim and Bergen in Norway, Uppsala in Sweden, and Alabama in the United States. This paper reports on the Scandinavian portion of the study. 6,354 women were referred to the study and 5,722 women, who were expecting their second or third child between January 1986 and March 1988, were eligible and made their first appointment for the study. Of these, 1,945 women and their births were selected for follow-up at four prenatal visits, delivery, and during the first year of life. This report analyzes the relative impact of various maternal pre-pregnancy risk factors associated with SGA birth. For example, mothers who smoked cigarettes around the time of conception, but who had none of the other major risk factors, nearly doubled their risk of SGA birth. A previous low birth weight (LBW) delivery increased the risk nearly two and a half times among non-smokers. If a mother both smoked and had a previous LBW, the relative risk rose to nearly five and a half. Low maternal pre-pregnancy weight (< 50 kg) increased the risk of SGA birth almost twofold among non-smokers, while low pre-pregnancy weight and smoking together increased the risk of SGA birth fourfold. A low weight mother who smoked and also had a previous LBW delivery, had a risk of SGA birth that was nearly six times that of a mother without those characteristics.

BackgroundStillbirths need to count. They constitute the majority of the world's perinatal deaths and yet, they are largely invisible. Simply counting stillbirths is only the first step in analysis and prevention. From a public health perspective, there is a need for information on timing and circumstances of death, associated conditions and underlying causes, and availability and quality of care. This information will guide efforts to prevent stillbirths and improve quality of care.DiscussionIn this report, we assess how different definitions and limits in registration affect data capture, and we discuss the specific challenges of stillbirth registration, with emphasis on implementation. We identify what data need to be captured, we suggest a dataset to cover core needs in registration and analysis of the different categories of stillbirths with causes and quality indicators, and we illustrate the experience in stillbirth registration from different cultural settings. Finally, we point out gaps that need attention in the International Classification of Diseases and review the qualities of alternative systems that have been tested in low- and middle-income settings.SummaryObtaining high-quality data will require consistent definitions for stillbirths, systematic population-based registration, better tools for surveys and verbal autopsies, capacity building and training in procedures to identify causes of death, locally adapted quality indicators, improved classification systems, and effective registration and reporting systems.

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