BACKGROUND: Unlike maternal age, the effect of paternal age on birth defect prevalence has not been well examined. We used cases from the Texas birth defect registry, born during 1996-2002, to evaluate the association of paternal age with the prevalence of selected structural birth defects. METHODS: Poisson regression was used to calculate prevalence ratios (PRs) and 95% confidence intervals (CIs) associated with paternal age for each birth defect, adjusting for maternal age, race/ethnicity, and parity. RESULTS: Relative to fathers ages 25-29 years, fathers 20-24 years of age were more likely to have offspring with gastroschisis (PR 1.47, 95% CI: 1.12-1.94), and fathers 40+ years old were less likely to have offspring with trisomy 13 (PR 0.40, 95% CI: 0.16-0.96). No association was seen between paternal age and prevalence of anencephaly and encephalocele. A selection bias was observed for the other birth defects in which cases of younger fathers were more often excluded from study. CONCLUSIONS: In studies of birth defect risk and paternal age, the source of information may affect the validity of findings. Copyright (c) 2006 Wiley-Liss, Inc.
BACKGROUND: Unlike maternal age, the effect of paternal age on birth defect prevalence has not been well examined. We used cases from the Texas birth defect registry, born during 1996-2002, to evaluate the association of paternal age with the prevalence of selected structural birth defects. METHODS: Poisson regression was used to calculate prevalence ratios (PRs) and 95% confidence intervals (CIs) associated with paternal age for each birth defect, adjusting for maternal age, race/ethnicity, and parity. RESULTS: Relative to fathers ages 25-29 years, fathers 20-24 years of age were more likely to have offspring with gastroschisis (PR 1.47, 95% CI: 1.12-1.94), and fathers 40+ years old were less likely to have offspring with trisomy 13 (PR 0.40, 95% CI: 0.16-0.96). No association was seen between paternal age and prevalence of anencephaly and encephalocele. A selection bias was observed for the other birth defects in which cases of younger fathers were more often excluded from study. CONCLUSIONS: In studies of birth defect risk and paternal age, the source of information may affect the validity of findings. Copyright (c) 2006 Wiley-Liss, Inc.
Authors: Brian Miller; Erick Messias; Jouko Miettunen; Antti Alaräisänen; Marjo-Riita Järvelin; Hannu Koponen; Pirkko Räsänen; Matti Isohanni; Brian Kirkpatrick Journal: Schizophr Bull Date: 2010-02-25 Impact factor: 9.306
Authors: Alexander N Yatsenko; Andrew P Georgiadis; Albrecht Röpke; Andrea J Berman; Thomas Jaffe; Marta Olszewska; Birgit Westernströer; Joseph Sanfilippo; Maciej Kurpisz; Aleksandar Rajkovic; Svetlana A Yatsenko; Sabine Kliesch; Stefan Schlatt; Frank Tüttelmann Journal: N Engl J Med Date: 2015-05-13 Impact factor: 91.245
Authors: Renuka Kapoor; Vijaya Kancherla; Yanyan Cao; Jacob Oleson; Jonathan Suhl; Mark A Canfield; Charlotte M Druschel; Russell S Kirby; Robert E Meyer; Paul A Romitti Journal: Birth Defects Res Date: 2018-12-13 Impact factor: 2.344
Authors: J A Ortega García; M Martín; A Brea Lamas; C De Paco-Matallana; J I Ruiz Jiménez; O P Soldin Journal: An Pediatr (Barc) Date: 2010-02-01 Impact factor: 1.500
Authors: Ridgely Fisk Green; Owen Devine; Krista S Crider; Richard S Olney; Natalie Archer; Andrew F Olshan; Stuart K Shapira Journal: Ann Epidemiol Date: 2010-01-06 Impact factor: 3.797
Authors: Jason R Kovac; Josephine Addai; Ryan P Smith; Robert M Coward; Dolores J Lamb; Larry I Lipshultz Journal: Asian J Androl Date: 2013-08-05 Impact factor: 3.285
Authors: Callie A M Atta; Kirsten M Fiest; Alexandra D Frolkis; Nathalie Jette; Tamara Pringsheim; Christine St Germaine-Smith; Thilinie Rajapakse; Gilaad G Kaplan; Amy Metcalfe Journal: Am J Public Health Date: 2015-11-12 Impact factor: 9.308