Evidence map›Paper›PMID 40231241›Full record

ArticleGlobal epidemiology2025

Patterns and Associated Factors of Congenital Anomalies Among Neonates in 14 Yemeni Governorates 2021-2023: A Case: Control Study.

Hiam Al-Atnah, Anas Al-Qubati, Amir Addin Al-Hashedi, Muath Al-Saidy, Saleh Al-Shawish, Moamer M Badi, Najeeb Al-Qubati, Yasser Ghaleb, Maha Al-Muntaser

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Article in Global epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Hiam Al-AtnahFaculty of Medicine and Health Sciences, Emirates International University, Sana'a, Yemen.
Anas Al-QubatiFaculty of Medicine and Health Sciences, Emirates International University, Sana'a, Yemen.
Amir Addin Al-HashediFaculty of Medicine and Health Sciences, Emirates International University, Sana'a, Yemen.
Muath Al-SaidyFaculty of Medicine and Health Sciences, Emirates International University, Sana'a, Yemen.
Saleh Al-ShawishFaculty of Medicine and Health Sciences, Emirates International University, Sana'a, Yemen.
Moamer M BadiCommunity Medicine Department, Emirates International University, Sana'a, Yemen.
Najeeb Al-QubatiMinistry of Health and Population, Sana'a, Yemen.
Yasser GhalebMinistry of Health and Population, Sana'a, Yemen.
Maha Al-MuntaserFaculty of Medicine and Health Sciences, Emirates International University, Sana'a, Yemen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long-term disability and a reduced quality of life are often associated with congenital anomalies (CAs), which present as structural, functional, or metabolic defects. This study provides a comprehensive view of neonatal congenital anomalies in 14 Yemeni governorates, a significant but often overlooked public health concern. The current study aimed to determine the patterns and associated factors of congenital anomalies in 14 Yemeni governorates between 2021 and 2023. Methods: An unmatched case-control 1:2 design was conducted using secondary data collected from various health facilities across 14 Yemeni governorates during 2021-2023. Sample size was calculated and data was analyzed using Epi Info version 7.2, with 612 neonates with documented diagnosis of congenital anomalies and 1224 healthy neonates. Binary and multiple logistic regression were used to identify factors associated with congenital anomalies, alongside the chi-square test. Results: The majority of the congenital anomalies identified were located in Al Hudaydah (34 %), Ibb (17.2 %), and Sana'a (13.1 %). Most were isolated 518 (84.64 %), whereas 94 (15.36 %) were multiple. The predominant system was the nervous system (33.9 %), followed by the skeletal system (14.8 %) and orofacial anomalies (10.6 %). Furthermore, strong associations were found with positive consanguinity (OR = 28.82), low socioeconomic status (OR = 10.70), maternal age ≥ 35 years old (OR = 7.66), stress (OR = 4.95), acute diseases (OR = 3.56), gestational age < 37 weeks (OR = 3.32), maternal age < 20 years old (OR = 2.32), positive family history (OR = 1.74), low birth weight (OR = 1.27), grand-multiparity (OR = 0.71) and male sex (OR = 0.10). Interpretation: This broad research identified significant patterns, maternal and neonatal associations, and protective variables for congenital anomalies. These results can help inform national interventions and policies for prevention and improving neonatal care. Funding: This study was self-funded by the authors and did not receive any external funding or any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Identifiers

PMID40231241
PMCPMC11995116

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