美国两波 COVID-19 疫情后各州生育率的变化。
State-specific fertility rate changes across the USA following the first two waves of COVID-19.
机构信息
Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA.
Vilcek Institute of Biomedical Graduate Sciences, New York University Grossman School of Medicine, New York, NY, USA.
出版信息
Hum Reprod. 2023 Jun 1;38(6):1202-1212. doi: 10.1093/humrep/dead055.
STUDY QUESTION
How did the first two coronavirus disease 2019 (COVID-19) waves affect fertility rates in the USA?
SUMMARY ANSWER
States differed widely in how their fertility rates changed following the COVID-19 outbreak and these changes were influenced more by state-level economic, racial, political, and social factors than by COVID-19 wave severity.
WHAT IS KNOWN ALREADY
The outbreak of the COVID-19 pandemic contributed to already declining fertility rates in the USA, but not equally across states. Identifying drivers of differential changes in fertility rates can help explain variations in demographic shifts across states in the USA and motivate policies that support families in general, not only during crises.
STUDY DESIGN, SIZE, DURATION: This is an ecological study using state-level data from 50 US states and the District of Columbia (n = 51). The study period extends from 2020 to 2021 with historical data from 2016 to 2019. We identified Wave 1 as the first apex for each state after February 2020 and Wave 2 as the second apex, during Fall/Winter 2020-2021.
PARTICIPANTS/MATERIALS, SETTING, METHODS: State-level COVID-19 wave severity, defined as case acceleration during each 3-month COVID-19 wave (cases/100 000 population/month), was derived from 7-day weekly moving average COVID-19 case rates from the US Centers for Disease Control and Prevention (CDC). State-level fertility rate changes (change in average monthly fertility rate/100 000 women of reproductive age (WRA)/year) were derived from the CDC Bureau of Vital Statistics and from 2020 US Census and University of Virginia 2021 population estimates 9 months after each COVID-19 wave. We performed univariate analyses to describe national and state-level fertility rate changes following each wave, and simple and multivariable linear regression analyses to assess the relation of COVID-19 wave severity and other state-level characteristics with fertility rate changes.
MAIN RESULTS AND THE ROLE OF CHANCE
Nationwide, fertility dropped by 17.5 births/month/100 000 WRA/year following Wave 1 and 9.2 births/month/100 000 WRA/year following Wave 2. The declines following Wave 1 were largest among majority-Democrat, more non-White states where people practiced greater social distancing. Greater COVID-19 wave severity was associated with steeper fertility rate decline post-Wave 1 in simple regression, but the association was attenuated when adjusted for other covariates. Adjusting for the economic impact of the pandemic (hypothesized mediator) also attenuated the effect. There was no relation between COVID-19 wave severity and fertility rate change following Wave 2.
LIMITATIONS, REASONS FOR CAUTION: Our study harnesses state-level data so individual-level conclusions cannot be inferred. There may be residual confounding in our multivariable regression and we were underpowered to detect some effects.
WIDER IMPLICATIONS OF THE FINDINGS
The COVID-19 pandemic initially impacted the national fertility rate but, overall, the fertility rate rebounded to the pre-pandemic level following Wave 2. Consistent with prior literature, COVID-19 wave severity did not appear to predict fertility rate change. Economic, racial, political, and social factors influenced state-specific fertility rates during the pandemic more than the severity of the outbreak alone. Future studies in other countries should also consider whether these factors account for internal heterogeneity when examining the impact of the COVID-19 pandemic and other crises on fertility.
STUDY FUNDING/COMPETING INTEREST(S): L.G.K. received funding from the National Institute of Environmental Health Sciences (R00ES030403), M.C. from the National Science Foundation Graduate Research Fellowship Program (20-A0-00-1005789), and M.L. and E.S. from the National Institute of Environmental Health Sciences (R01ES032808). None of the authors have competing interests.
TRIAL REGISTRATION NUMBER
N/A.
研究问题
2019 年冠状病毒病(COVID-19)的前两波如何影响美国的生育率?
总结答案
美国各州的生育率在 COVID-19 爆发后发生变化的情况差异很大,这些变化更多地受到州级经济、种族、政治和社会因素的影响,而不是 COVID-19 波严重程度的影响。
已知情况
COVID-19 大流行的爆发导致美国的生育率已经下降,但各州的情况并不相同。确定生育率变化的驱动因素可以帮助解释美国各州人口变化的差异,并促使制定支持家庭的政策,而不仅仅是在危机期间。
研究设计、规模、持续时间:这是一项使用美国 50 个州和哥伦比亚特区(n=51)的州级数据进行的生态研究。研究期间从 2020 年延长到 2021 年,使用 2016 年至 2019 年的历史数据。我们将第一波定义为 2020 年 2 月后每个州的第一个顶点,第二波定义为 2020-2021 年秋季/冬季的第二个顶点。
参与者/材料、设置、方法:从美国疾病控制与预防中心(CDC)的每周 7 天移动平均 COVID-19 病例率中得出州级 COVID-19 波严重程度,定义为每个 3 个月 COVID-19 波期间的病例加速(每 10 万人口/月的病例数)。州级生育率变化(每 10 万生育年龄(WRA)女性的平均每月生育率变化/年)是从 CDC 人口统计局和 2020 年美国人口普查以及 2021 年弗吉尼亚大学的人口估计中得出的,在每个 COVID-19 波后 9 个月。我们进行了单变量分析,以描述每个波后全国和州级生育率的变化,并进行了简单和多变量线性回归分析,以评估 COVID-19 波严重程度和其他州级特征与生育率变化的关系。
主要结果和机会的作用
在全国范围内,第一波后每月生育人数下降 17.5 人/10 万 WRA/年,第二波后每月生育人数下降 9.2 人/10 万 WRA/年。第一波后下降幅度最大的是多数民主党、非白人比例更高的州,这些州的人们实行了更大程度的社会隔离。在简单回归中,更大的 COVID-19 波严重程度与第一波后生育率下降幅度更大相关,但在调整其他协变量后,这种关联减弱。调整大流行的经济影响(假设的中介因素)也减弱了这种影响。在第二波后,COVID-19 波严重程度与生育率变化之间没有关系。
局限性、谨慎的原因:我们的研究利用了州级数据,因此不能推断个体结论。多变量回归中可能存在残余混杂,我们的检测能力不足,无法检测到一些影响。
更广泛的影响
COVID-19 大流行最初对全国生育率产生了影响,但总体而言,第二波后生育率回升到大流行前水平。与先前的文献一致,COVID-19 波严重程度似乎并未预测生育率变化。在大流行期间,经济、种族、政治和社会因素对各州特定生育率的影响大于疫情的严重程度。未来在其他国家的研究也应该考虑这些因素在检查 COVID-19 大流行和其他危机对生育率的影响时是否解释了内部异质性。
研究资金/利益冲突:L.G.K. 从美国国家环境健康科学研究所(R00ES030403)获得资金,M.C. 从美国国家科学基金会研究生研究奖学金计划(20-A0-00-1005789)获得资金,M.L. 和 E.S. 从美国国家环境健康科学研究所(R01ES032808)获得资金。作者均无利益冲突。
试验注册编号
无。