Catalano Ralph, Bruckner Tim, Casey Joan A, Gemmill Alison, Margerison Claire, Hartig Terry
School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Program in Public Health and Center for Population, Inequality and Policy, University of California, Irvine, Irvine, CA, USA.
Evol Med Public Health. 2021 Oct 20;9(1):374-382. doi: 10.1093/emph/eoab033. eCollection 2021.
The suspicion that a population stressor as profound as the COVID-19 pandemic would increase preterm birth among cohorts in gestation at its outset has not been supported by data collected in 2020. An evolutionary perspective on this circumstance suggests that natural selection , induced by the onset of the pandemic, caused pregnancies that would otherwise have produced a preterm birth to end early in gestation as spontaneous abortions. We test this possibility using the odds of a live-born twin among male births in Norway as an indicator of the depth of selection in birth cohorts.
We apply Box-Jenkins methods to 50 pre-pandemic months to estimate counterfactuals for the nine birth cohorts in gestation in March 2020 when the first deaths attributable to SARS-CoV-2 infection occurred in Norway. We use Alwan and Roberts outlier detection methods to discover any sequence of outlying values in the odds of a live-born twin among male births in exposed birth cohorts.
We find a downward level shift of 27% in the monthly odds of a twin among male births beginning in May and persisting through the remainder of 2020.
Consistent with evolutionary theory and selection , birth cohorts exposed to the onset of the COVID-19 pandemic yielded fewer male twins than expected.
Our finding of fewer than expected male twin births during the onset of the COVID-19 pandemic provides more evidence that evolution continues to affect the characteristics and health of contemporary populations.
新冠疫情这样严重的群体应激源会导致疫情初期处于孕期的人群早产率上升,这一怀疑并未得到2020年收集的数据支持。从进化的角度来看,这种情况表明,疫情爆发引发的自然选择导致原本会早产的妊娠在妊娠早期以自然流产的形式提前结束。我们以挪威男婴中活产双胞胎的几率作为出生队列中选择深度的指标来检验这种可能性。
我们将Box-Jenkins方法应用于疫情前的50个月,以估计2020年3月挪威首次出现因感染SARS-CoV-2导致死亡时处于孕期的9个出生队列的反事实情况。我们使用阿尔万和罗伯茨的异常值检测方法,在暴露出生队列的男婴中活产双胞胎几率的序列中发现任何异常值序列。
我们发现,从5月开始,男婴中双胞胎的月度几率出现了27%的下降,并持续到2020年剩余时间。
与进化理论和选择一致,暴露于新冠疫情爆发的出生队列中,男双胞胎的数量低于预期。
我们发现在新冠疫情爆发期间男双胞胎出生数量低于预期,这为进化继续影响当代人群的特征和健康提供了更多证据。