COVID-19 大流行后期出生率下降:政策干预、疫苗接种计划和经济不确定性的作用。

IF 8.3 Q1 OBSTETRICS & GYNECOLOGY Human reproduction open Pub Date : 2024-09-10 eCollection Date: 2024-01-01 DOI:10.1093/hropen/hoae052
Maria Winkler-Dworak, Kryštof Zeman, Tomáš Sobotka
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引用次数: 0

摘要

研究问题:在 COVID-19 大流行后期,高收入国家出生率下降的影响因素是什么?我们的研究结果表明,经济不确定性、非药物政策干预和第一波全民疫苗接种运动与 2022 年出生率下降有关:在 COVID-19 大流行期间,大多数较高收入国家的出生率先是短暂下降,然后很快恢复,之后没有出现共同趋势,直到 2022 年初才意外下降:本研究使用人类生育率数据库(HFD)提供的经季节性和日历效应调整的月总和生育率(TFRs)全人口数据。2020 年 11 月至 2022 年 10 月期间出生的婴儿与 2020 年 2 月至 2022 年 1 月期间受孕的婴儿相对应,即在疫情爆发之后但在俄罗斯入侵乌克兰之前。数据涵盖 26 个国家,包括欧洲、美国、加拿大、以色列、日本和大韩民国等 21 个国家:首先,我们对总生育率的月度变化进行了描述性分析。其次,我们采用线性固定效应回归模型来估计解释因素与观察到的季节性调整总生育率之间的关联。我们的分析考虑了三组更广泛的解释因素:经济不确定性、限制家庭外流动和社会活动的政策干预以及疫苗接种计划的进展:我们发现,COVID-19 大流行期间的出生趋势与经济不确定性有关,经济不确定性的衡量标准是通货膨胀率的上升(P P = 0.677)。大流行病政策干预的严格程度与推迟出生有关,但这只发生在机构信任度较低的国家,而且只发生在大流行病的早期阶段(P = 0.003)。在信任度较高的国家,更严格的控制措施与出生率呈正相关,无论是大流行第一年的受孕率(P = 0.019),还是大流行后期的受孕率(P = 0.057),尽管只有微弱的显著性。此外,我们还发现接种第一剂 COVID-19 疫苗的人口比例与总生育率之间存在负相关(P=0.019):不适用:我们的研究仅限于高收入国家,这些国家的政府提供了相对有力的社会支持政策,现代避孕药具也很普及。我们的数据无法按年龄、出生顺序和社会地位等关键特征对出生趋势进行分析:这是首次对 COVID-19 大流行后期的出生趋势驱动因素进行的多国研究。过去,流行病和健康危机之后的时期通常与出生率的恢复有关。与此相反,我们的研究结果表明,随着遏制大流行措施的逐步取消,人们的流动性增加,工作和社会生活恢复正常,这导致了一些国家出生率的下降。此外,我们的分析表明,一些妇女在完成初级疫苗接种前避免怀孕:本研究未使用任何外部资金。作者感谢其母校奥地利科学院维也纳人口研究所和奥地利科学院开放存取基金的资助。出于开放存取的目的,作者对本论文的任何作者接受稿件版本均采用了 CC BY 公共版权许可。所有作者声明没有利益冲突。
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Birth rate decline in the later phase of the COVID-19 pandemic: the role of policy interventions, vaccination programmes, and economic uncertainty.

Study question: What are the factors influencing the decline in the birth rates observed in higher-income countries in the later phase of the COVID-19 pandemic?

Summary answer: Our results suggest that economic uncertainty, non-pharmaceutical policy interventions, and the first wave of the population-wide vaccination campaign were associated with the decline in birth rates during 2022.

What is known already: During the COVID-19 pandemic, birth rates in most higher-income countries first briefly declined and then shortly recovered, showing no common trends afterwards until early 2022, when they unexpectedly dropped.

Study design size duration: This study uses population-wide data on monthly total fertility rates (TFRs) adjusted for seasonality and calendar effects provided in the Human Fertility Database (HFD). Births taking place between November 2020 and October 2022 correspond to conceptions occurring between February 2020 and January 2022, i.e. after the onset of the pandemic but prior to the Russian invasion of Ukraine. The data cover 26 countries, including 21 countries in Europe, the USA, Canada, Israel, Japan, and the Republic of Korea.

Participants/materials setting methods: First, we provided a descriptive analysis of the monthly changes in the TFR. Second, we employed linear fixed effects regression models to estimate the association of explanatory factors with the observed seasonally adjusted TFRs. Our analysis considered three broader sets of explanatory factors: economic uncertainty, policy interventions restricting mobility and social activities outside the home, and the progression of vaccination programmes.

Main results and the role of chance: We found that birth trends during the COVID-19 pandemic were associated with economic uncertainty, as measured by increased inflation (P < 0.001), whereas unemployment did not show any link to births during the pandemic (P = 0.677). The stringency of pandemic policy interventions was linked to a postponement of births, but only in countries with lower institutional trust and only in the early phase of the pandemic (P = 0.003). In countries with higher trust, stricter containment measures were positively associated with birth rates, both for conceptions in the first year of the pandemic (P = 0.019) and, albeit only weakly significant, for conceptions later in the pandemic (P = 0.057). Furthermore, we found a negative association between the share of the population having received the first dose of the COVID-19 vaccination and TFRs (P < 0.001), whereas the share of the population having completed the primary vaccination course (usually consisting of two doses) was linked to a recovery of birth rates (P < 0.001).

Large scale data: N/A.

Limitations reasons for caution: Our research is restricted to higher-income countries with relatively strong social support policies provided by the government as well as wide access to modern contraception. Our data did not allow analyses of birth trends by key characteristics, such as age, birth order, and social status.

Wider implications of the findings: This is the first multi-country study of the drivers of birth trends in the later phase of the COVID-19 pandemic. In the past, periods following epidemics and health crises were typically associated with a recovery in births. In contrast, our results show that the gradual phasing out of pandemic containment measures, allowing increased mobility and a return to more normal work and social life, contributed to declining birth rates in some countries. In addition, our analysis indicates that some women avoided pregnancy until completion of the primary vaccination protocol.

Study funding/competing interests: This study did not use any external funding. The authors acknowledge funding from their home institution, the Vienna Institute of Demography of the Austrian Academy of Sciences, and from the Open-Access Fund of the Austrian Academy of Sciences. For the purpose of open access, the authors have applied a CC BY public copyright licence to any Author Accepted Manuscript versions arising from this submission. All authors declare that they have no conflicts of interest.

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