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Updated: Mar 28, 2026

Anogenital Distance and Perineal Measurements of the Pelvic Organ Prolapse POP Quantification System
Published on: September 20, 2018
Parental risk factors of anorectal malformations: Analysis with a regional population-based control group
Nadine Zwink1, Anke Rissmann2, Simone Pötzsch3
1Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany.
Background:
Adequate evidence on environmental risk factors for anorectal malformations (ARMs) is very limited. We assessed maternal body weight and several prenatal exposures of the parents to tobacco, pregestational diabetes, chronic cardiovascular and respiratory diseases, periconceptional folic acid and multivitamin intake.
Methods:
Data from the German Network for Congenital Uro-REctal malformations (CURE-Net) were compared with data from the Malformation Monitoring Centre Saxony-Anhalt of the Otto-von-Guericke University in Magdeburg, Germany. Controls were matched to cases by gender and birth year of the child. Crude and adjusted odds ratios (95% confidence intervals) were calculated for potential risk factors using multivariable logistic regression.
Results:
In total, 158 ARM patients and 474 healthy infants born between 1993 and 2008 in Germany were included. Maternal age at birth of ARM cases and birth plurality were significantly higher and gestational age and weight significantly lower compared with controls (p < 0.0001). We observed significantly increased risks for ARMs associated with maternal smoking before conception and the first trimester of pregnancy (odds ratio = 2.23, 95% confidence interval 1.04-4.79, p = 0.039) and maternal chronic respiratory diseases (odds ratio = 29.25, 95% confidence interval 8.22-104.14, p < 0.0001). No statistically significant increased risk or protective effect was found for the other investigated factors.
Conclusion:
This study suggests an association between the occurrence of ARMs in the offspring and periconceptional maternal smoking as well as maternal chronic respiratory diseases. In addition, there might be a sign of an association for maternal diabetes, although not statistically significant. It can be assumed that the power is far too low to provide reliable estimates.
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