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出生性别比、2017 年拉斯维加斯枪击案和 2018 年夏威夷虚假导弹警报。

The sex ratio at birth, the 10/17 Las Vegas shooting and the 01/18 Hawaii false missile alert.

机构信息

Academic Department of Paediatrics, Mater Dei Hospital, Malta.

出版信息

Early Hum Dev. 2020 Apr;143:104966. doi: 10.1016/j.earlhumdev.2020.104966. Epub 2020 Feb 7.

DOI:10.1016/j.earlhumdev.2020.104966
PMID:32044617
Abstract

INTRODUCTION

Males are born usually in excess of females and the ratio is often expressed as M/T (male divided by total births). Many acute and stressful factors have been shown to influence M/T, and these transiently lower M/T for a one month period, three to five months after such events. This study was carried out in order to ascertain whether the Las Vegas shooting (10/2017) and the Hawaii false missile alert (01/2018) influenced M/T in the respective populations.

METHODS

Monthly live births by gender for the states of Nevada and Hawaii for 2016-2018 were obtained from the website of the Centers for Disease Control and Prevention (CDC).

RESULTS

There were no significant dips in M/T for any of the relevant months (3-5 months) following these events.

DISCUSSION

Research to date has shown M/T dips following catastrophic or tragic events. Equivalent dips were not noted in this study. The reasons for this may be one or a combination of the following. The population size was not sufficiently large in order to detect an M/T dip. Alternatively, the events were not felt to be sufficiently momentous by the populace such that an M/T dip was not produced. Yet another possibility is that these particular populations are somehow hardier and more resistant to such influences. Not all acute events may result in a visible/significant reduction in M/T.

摘要

简介

男性通常比女性出生得多,性别比例通常表示为 M/T(男性除以总出生人数)。许多急性和应激因素已被证明会影响 M/T,这些因素会在事件发生后一到五个月内暂时将 M/T 降低一个月。本研究旨在确定拉斯维加斯枪击案(2017 年 10 月)和夏威夷虚假导弹警报(2018 年 1 月)是否会影响各自人群的 M/T。

方法

从疾病控制与预防中心(CDC)网站获得内华达州和夏威夷 2016-2018 年每月按性别划分的活产数据。

结果

在这些事件发生后的相关月份(3-5 个月),M/T 没有明显下降。

讨论

迄今为止的研究表明,在灾难性或悲剧性事件后,M/T 会出现下降。在这项研究中没有注意到等效的下降。出现这种情况的原因可能是以下一种或多种原因。人口规模不够大,无法检测到 M/T 下降。或者,事件没有被民众认为足够重要,因此没有产生 M/T 下降。另一种可能性是这些特定人群更坚韧,更能抵抗这种影响。并非所有急性事件都会导致 M/T 明显减少。

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