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Cambridge University Press, Journal of Developmental Origins of Health and Disease, 06(8), p. 658-664

DOI: 10.1017/s2040174417000472

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The risk of stroke after prenatal exposure to famine

Journal article published in 2017 by J. Horenblas, S. R. de Rooij ORCID, T. J. Roseboom ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Prenatal exposure to famine is associated with an increased risk of metabolic and cardiovascular diseases in the offspring at adult age. The aim of this study was to assess whether prenatal exposure to undernutrition increases the risk of stroke. This study was performed in the Dutch famine birth cohort, which consist of 2414 members who were born between 1943 and 1947 in the Netherlands. In a subsample of 1177 individuals, interviews were conducted using standardized questionnaires to obtain information about medical history (which included specific questions regarding stroke) and lifestyle. Information on stroke-related mortality was collected by linking the cohort with Statistics Netherlands. A Cox’s proportional hazard analysis was performed to calculate hazard ratios (HRs) comparing the incidence of non-fatal stroke between participants who were exposed, subdivided into early, mid and late gestation, and unexposed to famine prenatally. Three cohort members died of stroke. Of the 1177 subjects who responded to the questionnaires 49 (4.2%) survived a stroke. Unadjusted and adjusted HRs for the risk of non-fatal stroke did not show a significant difference between the unexposed and exposed subjects: HR 1.23 (95% CI 0.53–2.83), HR 1.23 (95% CI 0.53–2.82), HR 1.12 (95% CI 0.46–2.71) for those exposed in late, mid and early gestation, respectively. We were unable to find evidence for a major effect of prenatal exposure to famine on the risk of stroke in later life, although one should be aware that this study was underpowered and the study population too selected and young to identify smaller risks.