Evidence map›Paper›PMID 38331235›Full record

ArticleAnnals of epidemiology2024

Association of COVID-19 pandemic societal closures with gestational weight gain among women in South Carolina, 2018-2021.

Marco E Tori, Lucas Gosdin, Yiwen Shih, Peiyin Hung, Xiaoming Li, Jihong Liu

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 2 institutions in 1 country.

Marco E ToriEpidemic Intelligence Service, CDC and South Carolina Department of Health and Environmental Control, USC Arnold School of Public Health, 2100 Bull Street, Columbia, SC 29201, USA. Electronic address: rhq2@cdc.gov.
Lucas GosdinEpidemic Intelligence Service, CDC, 4770 Buford Hwy NE, Atlanta GA 30341, USA. Electronic address: nwj4@cdc.gov.
Yiwen ShihDepartment of Health Services, Policy and Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA. Electronic address: yshih@email.sc.edu.
Peiyin HungDepartment of Health Services, Policy and Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA. Electronic address: hungp@mailbox.sc.edu.
Xiaoming LiDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA. Electronic address: xiaoming@mailbox.sc.edu.
Jihong LiuDepartment of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA. Electronic address: jliu@mailbox.sc.edu.
University of South Carolina · USEpidemic Intelligence Service · US

Funding

Multilevel Determinants of Racial and Ethnic Disparities in Maternal Morbidity and Mortality in the Context of COVID-19 PandemicR01AI127203 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LI, XIAOMING, OLATOSI, BANKOLE · 2017 to 2021
$5.2M
Intramural CDC HHS CC999999NIAID NIH HHS R01 AI127203
6 · The paper itself

Abstract

purposeDuring the early COVID-19 pandemic, an increase in weight gain among the general population was observed; however, gestational weight gain (GWG) was not thoroughly evaluated. We evaluated changes in GWG during the pandemic closures in South Carolina.

methodsWe used live, singleton birth records to compare GWG outcomes among three pregnancy groups occurring before (January 2018-February 2020), during (March-May 2020), and after (June 2020-December 2021) pandemic closures. GWG categories were defined by the Institute of Medicine (IOM) recommendations. We used multinomial logistic regression models to calculate prevalence ratios (PRs) of GWG categories stratified by prepregnancy body mass index (BMI) category.

resultsWe analyzed 177,571 birth records. Women with normal weight (n = 64,491, 36%) had a slightly lower prevalence of excessive GWG during and after the pandemic closures (PR 0.94; 95% CI: 0.91-0.98 and PR 0.95; 95% CI: 0.93-0.98, respectively). We observed no changes in GWG patterns for women with overweight and obesity.

conclusionsWe found limited changes in GWG patterns for a subset of pregnant women during and after pandemic closures, compared with prepandemic period in South Carolina, countering findings of weight changes among the general population.

Indexed as

COVID-19Gestational Weight GainPregnancy ComplicationsBody Mass IndexFemaleHumansOverweightPandemicsPregnancyPregnancy OutcomeSouth CarolinaWeight GainCOVID-19Gestational Weight GainMaternal Child HealthObesityPandemic Closures

Identifiers

PMID38331235
PMCPMC11332072
OpenAlexW4391578034

What OpenQuestion holds

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Registered trials

None linked

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.