Evidence map›Paper›PMID 37038265›Full record

ArticleHuman reproduction (Oxford, England)2023

State-specific fertility rate changes across the USA following the first two waves of COVID-19.

Sarah Adelman, Mia Charifson, Eunsil Seok, Shilpi S Mehta-Lee, Sara G Brubaker, Mengling Liu, Linda G Kahn

Abstract read
In one paragraph

Article in Human reproduction (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sarah AdelmanDepartment of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA.
Mia CharifsonVilcek Institute of Biomedical Graduate Sciences, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0001-9918-3617
Eunsil SeokDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Shilpi S Mehta-LeeDepartment of Obstetrics and Gynecology, New York University Grossman School of Medicine, New York, NY, USA.
Sara G BrubakerDepartment of Obstetrics and Gynecology, New York University Grossman School of Medicine, New York, NY, USA.
Mengling LiuDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Linda G KahnDepartment of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0002-6512-6160

Funding

SEMIPARAMETRIC METHODS FOR MODELING OF TIME-DEPENDENT ENVIRONMENTAL EXPOSURESR01ES032808 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LIU, MENGLING · 2021 to 2025
$1.8M
Nonpersistent chemical exposure, placental development, and maternal pre- and post-pregnancy cardiovascular healthR00ES030403 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KAHN, LINDA G · 2022 to 2024
$746k
NIEHS NIH HHS R00 ES030403NIEHS NIH HHS R01 ES032808
6 · The paper itself

Abstract

study questionHow 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,

methodsState-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

findingsThe 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.

Indexed as

Birth RateCOVID-19FemaleFertilityHumansPandemicsReproductionbirth ratescoronavirus disease 2019COVID-19ecological studyfertilityfertility trendspandemicsevere acute respiratory syndrome coronavirus 2social determinantsUS state analysis

Identifiers

PMID37038265
PMCPMC10233281

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.