A novel indicator of selection in utero.

IF 3.3 3区 医学 Q2 EVOLUTIONARY BIOLOGY
Ralph Catalano, Tim A Bruckner, Alison Gemmill, Joan A Casey, Claire Margerison, Terry Hartig
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引用次数: 0

Abstract

Background and objectives: Selection in utero predicts that population stressors raise the standard for how quickly fetuses must grow to avoid spontaneous abortion. Tests of this prediction must use indirect indicators of fetal loss in birth cohorts because vital statistics systems typically register fetal deaths at the 20th week of gestation or later, well after most have occurred. We argue that tests of selection in utero would make greater progress if researchers adopted an indicator of selection against slow-growing fetuses that followed from theory, allowed sex-specific tests and used readily available data. We propose such an indicator and assess its validity as a dependent variable by comparing its values among monthly birth cohorts before, and during, the first 10 months of the COVID-19 pandemic in Sweden.

Methodology: We apply Box-Jenkins methods to 50 pre-pandemic birth cohorts (i.e., December 2016 through January 2020) and use the resulting transfer functions to predict counterfactual values in our suggested indicator for selection for ten subsequent birth cohorts beginning in February 2020. We then plot all 60 residual values as well as their 95% detection interval. If birth cohorts in gestation at the onset of the pandemic lost more slow-growing fetuses than expected from history, more than one of the last 10 (i.e. pandemic-exposed) residuals would fall below the detection interval.

Results: Four of the last 10 residuals of our indicator for males and for females fell below the 95% detection interval.

Conclusions and implications: Consistent with selection in utero, Swedish birth cohorts in gestation at the outset of the COVID-19 pandemic included fewer than expected infants who grew slowly in utero.

Abstract Image

Abstract Image

Abstract Image

子宫内选择的新指标。
背景和目的:子宫内的选择预示着人口压力因素提高了胎儿生长速度以避免自然流产的标准。这种预测的检验必须使用出生队列中胎儿死亡的间接指标,因为生命统计系统通常在妊娠20周或更晚登记胎儿死亡,远远晚于大多数发生的时间。我们认为,如果研究人员采用一种针对生长缓慢的胎儿的选择指标,允许性别特异性测试,并使用现成的数据,那么子宫内的选择测试将取得更大的进展。我们提出了这样一个指标,并通过比较瑞典COVID-19大流行前10个月和期间每月出生队列的值来评估其作为因变量的有效性。方法:我们将Box-Jenkins方法应用于50个大流行前出生队列(即2016年12月至2020年1月),并使用所得传递函数预测我们建议的指标中的反事实值,以选择从2020年2月开始的10个后续出生队列。然后绘制所有60个残值及其95%检测区间。如果大流行开始时处于妊娠期的出生队列失去的生长缓慢的胎儿多于历史上的预期,那么最后10个(即大流行暴露)残差中有不止一个将低于检测间隔。结果:我们的男性和女性指标的最后10个残差中有4个低于95%的检测区间。结论和意义:与子宫内的选择一致,在2019冠状病毒病大流行开始时,瑞典的妊娠出生队列中,子宫内生长缓慢的婴儿少于预期。
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来源期刊
Evolution, Medicine, and Public Health
Evolution, Medicine, and Public Health Environmental Science-Health, Toxicology and Mutagenesis
CiteScore
5.40
自引率
2.70%
发文量
37
审稿时长
8 weeks
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.
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