Evidence map›Paper›PMID 41749547›Full record

ArticleChildren (Basel, Switzerland)2026

A Population-Based Study of U.S. Trends in Selected Congenital Anomalies (2016-2023) and Socio-Demographic Disparities: A CDC WONDER Analysis.

Mahmoud Ali, Ramesh Vidavalur, Naveed Hussain

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mahmoud AliWest Virginia University Children Hospital, Morgantown, WV 26505, USA.ORCID 0000-0002-5174-8620
Ramesh VidavalurCayuga Medical Center of Ithaca, Ithaca, NY 14850, USA.ORCID 0000-0003-1476-7619
Naveed HussainConnecticut Children's Medical Center, Farmington, CT 06032, USA.ORCID 0000-0002-1809-5760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCongenital anomalies are influenced by genetic and environmental factors. While interventions including folic acid supplementation have reduced neural tube defects, data on modifiable socio-demographic risk factors remain limited.

aimThis study aimed to assess variation in the prevalence of selected congenital anomalies across the United States according to socio-demographic factors.

methodsA population-based analysis was conducted using CDC-WONDER natality data from 2016 to 2023. Included anomalies were anencephaly, spina bifida, cyanotic heart disease, diaphragmatic hernia, omphalocele, gastroschisis, limb reduction, cleft lip/palate, Down syndrome, chromosomal disorders, and hypospadias. Associations with maternal age, BMI, race, tobacco use, diabetes, and fertility treatments were analyzed. Prevalence rates were calculated per 1000 live births. Relative risks (RRs) and 95% confidence intervals (CIs) were estimated. Joinpoint regression was used to assess annual percent changes (APCs), with

resultsAmong 3,482,944 singleton live births in 2023, the overall prevalence of the selected congenital anomalies was 3.3 per 1000. Compared to Caucasian mothers, risk was lower in Asian (RR 0.57; 95% CI: 0.52-0.63) and Black (RR 0.81; 95% CI: 0.76-0.85) infants and higher in American Indian/Alaska Native infants. Significant risk factors included pre-pregnancy diabetes (RR 2.41; 95% CI: 2.16-2.69), maternal age > 45 (RR 2.95; 95% CI: 2.36-3.69), and tobacco use (RR 1.78; 95% CI: 1.64-1.94). A significant decline in prevalence was observed from 2016 to 2023 (APC: -0.6%; 95% CI: -1.1 to -0.2;

conclusionsSignificant disparities and modifiable maternal risk factors were associated with the prevalence of selected congenital anomalies in the U.S. from 2016 to 2023. A modest statistically significant decline in overall prevalence was observed during the study period, supporting the importance of continued national surveillance and targeted preconception and prenatal interventions to reduce risk and address inequities.

Indexed as

birth defectsCDC WONDERcongenital anomaliesjoinpoint regressionmaternal risk factorsprevalencesocio-demographic disparitiesUnited States

Identifiers

PMID41749547
PMCPMC12939100

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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.