Morbidity and mortality of COVID-19 negatively associated with the frequency of consanguineous marriages, an ecologic study.

Mostafa Saadat
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引用次数: 2

Abstract

Background: Union between second cousins and closer relatives is called consanguineous marriage. Consanguineous marriage is associated with increased risk of autosomal recessive diseases and several multifactorial traits. In order to evaluate the association between prevalence/mortality of COVID-19 and the frequency of consanguineous marriage, the present ecologic study was carried out. For the present study, data of prevalence (per 106 people) and mortality (per 106 people) and number of performed laboratory diagnostic test (per 106 people) of COVID-19 disease at four time points (December 2020; March, August and October 2021) of 65 countries were used.

Results: Univariable correlation and generalized estimating equation analysis were used. In analysis, prevalence and mortality of COVID-19 were used as dependent variables and human development index, number of performed diagnosis test and the mean of inbreeding coefficient (α-value) were introduced into model as covariates, and time point was used as a factor in analysis. The square root (SR) of prevalence (P = 0.008) and SR-mortality (P < 0.001) of COVID-19 negatively associated with the log-transformed of α-value.

Conclusions: The present finding means that in countries with high levels of consanguineous marriages, the prevalence of COVID-19 and mortality due to COVID-19 were lower than countries having low level of marriage with relatives.

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一项生态学研究,新冠肺炎的发病率和死亡率与近亲结婚频率呈负相关。
背景:表亲和近亲的结合被称为近亲结婚。近亲结婚与常染色体隐性遗传疾病和几个多因素特征的风险增加有关。为了评估新冠肺炎的流行率/死亡率与近亲结婚频率之间的关系,进行了本生态学研究。在本研究中,使用了65个国家四个时间点(2020年12月;2021年3月、8月和10月)新冠肺炎疾病的流行率(每106人)、死亡率(每106个人)和实验室诊断测试次数(每106个人)的数据。结果:采用单变量相关和广义估计方程分析。在分析中,以新冠肺炎的患病率和死亡率为因变量,将人类发展指数、诊断试验次数和近交系数平均值(α-值)作为协变量引入模型,以时间点为分析因素。患病率的平方根(SR)(P = 0.008)和SR死亡率(P 结论:本研究结果表明,在近亲结婚率高的国家,新冠肺炎的患病率和新冠肺炎死亡率低于近亲结婚率低的国家。
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