Journal Article

Does Male Age Affect the Risk of Spontaneous Abortion? An Approach Using Semiparametric Regression

Rémy Slama, Axel Werwatz, Odile Boutou, Béatrice Ducot, Alfred Spira and Wolfgang Härdle

in American Journal of Epidemiology

Published on behalf of Johns Hopkins Bloomberg School of Public Health

Volume 157, issue 9, pages 815-824
Published in print May 2003 | ISSN: 0002-9262
Published online May 2003 | e-ISSN: 1476-6256 | DOI: http://dx.doi.org/10.1093/aje/kwg056
Does Male Age Affect the Risk of Spontaneous Abortion? An Approach Using Semiparametric Regression

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Couples in industrialized countries tend to delay attempting to have children, which may lower their chances of livebirth. The authors assessed the association between male age and the risk of spontaneous abortion between weeks 5 and 20 of pregnancy, controlling for female age. They interviewed by telephone a random cross-sectional population of 1,151 French women who had been pregnant between 1985 and 2000 (participation rate, 73%). A total of 12.2% of the 2,414 pregnancies resulted in spontaneous abortion. Semiparametric regression was used to define a discrete time survival model with a random effect taking into account induced abortions, in which female age was coded by a third-degree polynomial. This final model predicted that the risk (rate ratio) of spontaneous abortion was 2.13-fold higher for women age 25 years whose partner was age 35 years or older than for women age 25 years whose partner was younger than age 35 years (95% confidence interval: 1.07, 4.26). No such increased risk of spontaneous abortion with male age was estimated when the woman was age 35 years (rate ratio = 0.61, 95% confidence interval: 0.35, 1.07). Thus, increasing male age could increase the risk of spontaneous abortion when the female partner is less than 30 years of age.

Keywords: abortion, spontaneous; aging; fetal death; maternal age; men; paternal age; pregnancy; survival analysis; Abbreviations: CI, confidence interval; GPLM, generalized partial linear model.

Journal Article.  7364 words.  Illustrated.

Subjects: Public Health and Epidemiology

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