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- Title
Paternal age and perinatal outcomes: an observational study.
- Authors
Xholli, Anjeza; Londero, Ambrogio P.; Magnetti, Elena; Vadrucci, Sabrina; Neri, Isabella; Marcantognini, Gaia; Tramontano, Anna Luna; Monari, Francesca; Cagnacci, Angelo
- Abstract
The study's primary aim was to examine the relationship between paternal age and perinatal outcomes. This study used data from two hospital birth registries to examine the association between paternal age and adverse perinatal outcomes. The sample included all live singleton births between 2010 and 2022. The primary exposure was paternal age, and the following perinatal outcomes were considered: mode of conception, mode of delivery, pregnancy complications, and neonatal outcomes. A total of 15,232 pregnant women were considered. Maternal and paternal ages were 31.9 ± 5.3 and 36.5 ± 6.5 years, respectively. Independent of maternal, paternal age was associated with lower odds of spontaneous conceptions (OR 0.930, 95 % CI 0.968/0.993; p=0.003) and higher odds of intracytoplasmatic sperm injection (OR 1.054, 95 % CI 1.045/1.062; p=0.0001), respectively. In contrast to maternal age, paternal age decreased the odds of any (OR 0.922, 95 % CI 0.985/0.999; p=0.032) and urgent/emergent (OR 0.984, 95 % CI 0.975/0.993; p=0.0001) cesarean delivery. Paternal age did not affect the gestation length, placental or neonatal weight, blood loss during delivery, and neonatal 5th-minute Apgar score. Paternal age is associated with perinatal outcomes. These findings suggest that advanced paternal age may have implications for reproductive counseling and prenatal care.
- Subjects
SCIENTIFIC observation; CONFIDENCE intervals; NEONATAL intensive care; CONCEPTION; RETROSPECTIVE studies; REGRESSION analysis; HOSPITAL care of newborn infants; NEONATAL intensive care units; PREGNANCY outcomes; RISK assessment; VAGINA; PATERNAL age effect; PREGNANCY complications; MATERNAL age; DESCRIPTIVE statistics; ODDS ratio; FERTILIZATION in vitro; CESAREAN section; OBSTETRICAL emergencies; APGAR score; DATA analysis software; STATISTICAL models; LOGISTIC regression analysis; DELIVERY (Obstetrics); PERINATAL period; DISEASE risk factors
- Publication
Journal of Perinatal Medicine, 2024, Vol 52, Issue 1, p58
- ISSN
0300-5577
- Publication type
Article
- DOI
10.1515/jpm-2023-0205