Ralph Catalano, Joan Casey, Allison Stolte, Hedwig Lee, Alison Gemmill, Brenda Bustos, Tim Bruckner
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引用次数: 0
Abstract
Background and objectives: Research to identify fetal predictors of infant mortality among singletons born in the United States (US) concludes that poorly understood and unmeasured "confounders" produce a spurious association between fetal size and infant death. We argue that these confounders include Vanishing Twin Syndrome (VTS)-the clinical manifestation of selection against frail male twins in utero. We test our argument in 276 monthly conception cohorts conceived in the US from January 1995 through December 2017.
Methodology: We use Box-Jenkins transfer function modeling to test the hypothesis that among infants born from 276 monthly conception cohorts conceived in the US from January 1995 through December 2017, the sex ratio of twins born in the 37th week of gestation will correlate inversely with infant mortality among singleton males born at the 40th week of gestation.
Results: We find support for our hypothesis and infer that the contribution of survivors of VTS to temporal variation in infant mortality among the hardiest of singleton male infants, those born at 40 weeks gestation, ranged from a decrease of about 7% to an increase of about 5% over our 276 monthly conception cohorts.
Conclusions and implications: We conclude that an evolutionary perspective on fetal loss makes a heretofore "unmeasured confounder" of the relationship between fetal size and infant mortality both explicable and measurable. This finding may help clinicians better anticipate changes over time in the incidence of infant mortality.
期刊介绍:
About the Journal
Founded by Stephen Stearns in 2013, Evolution, Medicine, and Public Health is an open access journal that publishes original, rigorous applications of evolutionary science to issues in medicine and public health. It aims to connect evolutionary biology with the health sciences to produce insights that may reduce suffering and save lives. Because evolutionary biology is a basic science that reaches across many disciplines, this journal is open to contributions on a broad range of topics.