The Prevalence of Major Congenital Anomalies Among Live Births in Birjand, Iran: A Cross-sectional Study Between 2018 - 2022

Author(s):
Gholamreza FaalGholamreza FaalGholamreza Faal ORCID1, 2, Mohammad EsmaeelzadehMohammad EsmaeelzadehMohammad Esmaeelzadeh ORCID3, Ali ZaminiAli ZaminiAli Zamini ORCID4,*, Bita BijariBita BijariBita Bijari ORCID5, Simin SharafiSimin SharafiSimin Sharafi ORCID6,**
1Department of Pediatrics, School of Medicine, Birjand University of Medical Sciences, Birjand, Iran
2Neonatal Research Center, Faculty of Medical, Mashhad University of Medical Sciences, Mashhad, Iran
3Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran
4Faculty of Medicine, Birjand University of Medical Sciences (BUMS), Birjand, Iran
5Department of Community Medicine, Cardiovascular Diseases Research Center, School of Medicine, Birjand University of Medical Sciences, Birjand, Iran
6Department of Nursing, School of Nursing and Midwifery, Birjand University of Medical Sciences, Birjand, Iran
Corresponding Authors:

Modern Care Journal:Vol. 23, issue 1; e163441
Published online:Sep 29, 2025
Article type:Research Article
Received:Jun 01, 2025
Accepted:Sep 27, 2025
How to Cite:Faal G, Esmaeelzadeh M, Zamini A, Bijari B, Sharafi S. The Prevalence of Major Congenital Anomalies Among Live Births in Birjand, Iran: A Cross-sectional Study Between 2018 - 2022.Mod Care J.2025;23(1):e163441.https://doi.org/10.5812/mcj-163441.

Abstract

Background:

Congenital anomalies (CAs) significantly contribute to neonatal mortality and long-term disabilities. The present study aimed to assess the prevalence of major CAs among live births in Birjand, Iran.

Objectives:

This study assessed the prevalence of major congenital anomalies among live births in Birjand, Iran.

Methods:

A cross-sectional analysis was conducted on 45,281 neonates from 2018 to 2022 using census sampling. Each neonate underwent a clinical examination, and data were collected using a researcher-designed checklist. Statistical analysis was performed using SPSS version 22, with significance set at P < 0.05.

Results:

Out of 65 cases, the most common anomalies were cardiovascular, gastrointestinal, and central nervous system anomalies, with 18, 16, and 15 cases, respectively. No significant association was found between the presence of anomalies and neonatal gender (P = 0.28), maternal nationality (P = 0.35), maternal age (P = 0.39), gestational age (P = 0.08), or birth season (P = 0.09).

Conclusions:

A significant association was found with maternal residence (P < 0.001), with rural mothers having a higher rate of anomalies (0.38%) compared to urban mothers (0.10%). The prevalence of CAs was 14.3 per 10,000 live births, which is lower than in other regions of Iran.

1. Background

Congenital anomalies (CAs) are a global health priority due to their significant impact on infant survival and long-term health (1). Defined as structural or functional abnormalities present at birth, CAs can be detected prenatally, at delivery, or postnatally (2). Globally, they affect 2 - 3% of live births, equating to approximately 1 in 33 infants (3). The CAs contribute to 21% of neonatal deaths and rank as the fifth leading cause of reduced life expectancy before age 65, in addition to being a major source of disability (4). The prevalence of CAs varies widely across regions. Studies indicate that the Middle East and North Africa have the highest rates, ranging from 82 per 1,000 live births in Sudan to 39.7 per 1,000 in France (5). In Iran, recent data suggest a prevalence of 24.9 per 1,000 live births (6). Disparities also exist between low-income (64.2 per 1,000), developing (55.7 per 1,000), and developed nations (47.2 per 1,000) (5). Multiple factors contribute to CAs, including genetic disorders, nutritional deficiencies, TORCHES infections, alcohol consumption, environmental pollutants (e.g., pesticides), tobacco use, sexually transmitted infections, and advanced maternal age (≥ 35 years) (7). Genetic factors, such as single-gene defects (6% - 7%) and chromosomal abnormalities (6% - 7%), along with gene-environment interactions (20% - 25%) and teratogen exposure (6% - 7%), play significant roles. However, nearly 50% of CAs have no identifiable cause (7). The CAs are categorized as major or minor — major anomalies are life-threatening or impair function, whereas minor anomalies are primarily cosmetic with minimal health impact (8). Managing CAs involves substantial financial and social burdens, with treatment and rehabilitation often yielding suboptimal outcomes (9). Some severe anomalies lead to miscarriage or stillbirth, underscoring the importance of prevention over costly interventions (10). Identifying and mitigating risk factors can reduce the personal, economic, and societal consequences of CAs (10). Despite the high costs associated with CAs (11), reliable local prevalence data are scarce, particularly in Birjand. Regional variations mean that findings from other countries — or even other Iranian cities — cannot be generalized.

2. Objectives

Therefore, the present study aimed to assess the prevalence of major CAs among live births in Birjand to inform public health strategies.

3. Methods

3.1. Design Study

This cross-sectional descriptive study examined all live births in Birjand’s maternity hospitals (Vali-Asr, Shahid Rahimi, Milad, and Army hospitals) from January 2018 to December 2022. The inclusion criteria comprised live-born infants, while stillbirths and neonates who died immediately after birth (due to the need for autopsy for CAs diagnosis) were excluded.

3.2. Participants

Neonatologists and pediatricians conducted thorough physical examinations on the first day of birth.

3.3. Scales

Suspected cases underwent further diagnostic tests, including echocardiography, ultrasonography, and CT scans, leading to the identification of 65 infants with CAs. Census sampling was employed for data collection.

3.4. Data Collection

Data on live births were extracted from the Iman portal (www.iman.health.gov.ir), while hospital medical records provided details on infants with major anomalies. A researcher-designed checklist captured maternal age, infant sex, gestational age, birth season/year, residence, and nationality for both healthy and affected infants. In total, 45,281 live births were analyzed.

3.5. Data Analysis

Anomalies were classified according to the European Surveillance of Congenital Anomalies (EUROCAT) guidelines. Descriptive statistics (frequency, percentage, mean, standard deviation) and analytical tests (chi-square) were used to assess associations between major anomalies and maternal/infant characteristics (age, sex, gestation, birth season, residence, nationality). Data analysis was performed using SPSS version 22, with a significance level set at P < 0.05.

3.6. Ethical Consideration

All patient information remained confidential and the results were presented in general terms. It should be noted that this study was approved by the Ethics Committee of Birjand University of Medical Sciences with the ethics code IR.BUMS.REC.1400.397.

4. Results

During the five-year study period, there were a total of 45,281 live births in Birjand city, with 65 cases afflicted by major CAs. Of these births, 23,452 (51.79%) were male and 21,829 (48.21%) were female. The majority of mothers (54.86%) were aged between 25 and 35 years. Approximately 85.8% of the mothers resided in urban areas, and the vast majority (98.38%) were of Iranian nationality. Additional information related to live births is provided in Table 1.

Table 1.Classification of Admitted Newborns Based on Congenital Anomalies
Systems and CAsNo. (%)
Nervous system
Hydrocephalus3 (4.1)
Microcephaly5 (6.8)
Spina bifida/meningocele7 (9.5)
Cardiovascular system
TOF5 (6.8)
TGA3 (4.1)
Truncus arteriosus2 (2.7)
AVSD3 (4.1)
TAPVC1 (1.4)
HLHS1 (1.4)
DILV1 (1.4)
Pulmonary atresia2 (2.7)
Digestive system
Esophageal atresia5 (6.8)
Anorectal malformation4 (5.4)
Agenesis, atresia or congenital stenosis of the small intestine3 (4.1)
TEF2 (2.7)
Duodenal atresia2 (2.7)
Eye
Congenital glaucoma2 (2.7)
Urinary/genital
Ureteropelvic junction obstruction1 (1.4)
Hydronephrosis1 (1.4)
PKD 1 (1.4)
VUR1 (1.4)
Abdominal wall
Omphalocele3 (4.1)
Limb/skeletal
Achondroplasia5 (6.8)
Diaphragmatic hernia7 (9.5)
Pulmonary
Hypoplasia and dysplasia 2 (2.7)
Situs inversus2 (2.7)

Abbreviations: CAs, congenital anomalies; TOF, tetralogy of fallot; TGA, transposition of great arteries; TAPVC, total anomalous pulmonary venous connection; AVSD, atrioventricular septal defect; HLHS, hypoplastic left heart syndrome; TEF, tracheoesophageal fistula; PKD, polycystic kidney disease; VUR, vesicoureteral reflux; DILV, double inlet left ventricle.

Among the 65 infants with major anomalies, 38 (58.5%) were male and 27 (41.5%) were female. Most mothers of children with major anomalies (63%) were aged between 25 and 35 years, and 61.5% lived in urban areas. Additionally, 96.9% of these mothers were of Iranian nationality. Further demographic information related to major anomalies is detailed in Table 1.

According to the Iman system, the total number of live births was approximately 45,281, with 65 infants having major anomalies, resulting in a prevalence of 14.3 per 10,000 live births. The most frequent anomalies were related to the cardiovascular system (18 cases), digestive system (16 cases), and central nervous system (15 cases).

The chi-square test was used to examine the relationship between demographic variables and major abnormalities. The results indicated no statistically significant relationship between the occurrence of major abnormalities and the infants’ gender (P = 0.28), maternal nationality (P = 0.35), maternal age (P = 0.39), maternal gestation (P = 0.08), or infants’ birth season (P = 0.09). However, there was a statistically significant relationship between the maternal place of residence and the occurrence of major abnormalities (P < 0.001), with a higher prevalence of major abnormalities in mothers living in rural areas (0.38%) compared to those in urban areas (0.10%) (Table 2).

Table 2.The Prevalence of Major Congenital Anomalies Based on Newborns and Their Parents’ Characteristics a
VariablesNewborn Without CAs (N = 45216)Newborn with CAs (N = 65)Total (N = 45281)P-Value
Infants gender 0.282
Male23414 (51.7)38 (58.5)23452 (51.8)
Female21802 (48.3)27 (41.5)21829 (48.2)
Maternal nationality0.351
Iranian44485 (98.3)63 (96.9)44548 (98.3)
Others nationals731 (1.7)2 (3.1)733 (1.7)
Maternal age0.399
< 259919 (21.9)11 (16.9)9930 (21.9)
25 - 3524799 (54.8)41 (63)24841 (54.8)
Above 3510498 (23.3)13 (20.1)10510 (23.3)
Maternal gravidity0.087
Primigravida10992 (24.3)13 (20)11005 (24.3)
2 - 430664 (67.8)51 (78.5)30715 (67.8)
Above 43560 (7.9)1 (1.5)3561 (7.9)
Infants birth season0.092
Spring11518 (25.4)13 (20)11531 (25.4)
Summer11886 (26.2)26 (40)11912 (26.4)
Autumn10880 (24)12 (18.5)10892 (23.9)
Winter10932 (24.4)14 (21.5)10946 (24.3)
Maternal place of residence< 0.001
Urban38814 (85.8)40 (61.5)38854 (85.8)
Rural6402 (14.2)25 (38.5)6427 (14.2)

Abbreviation: CAs, congenital anomalies.

a Values are expressed as No. (%).

5. Discussion

This study identified 65 cases of major CAs among 45,281 live births (14.3 per 10,000) in Birjand from 2018 to 2022, revealing a significantly lower prevalence than regional and global reports. Sedighi et al. (12) documented a prevalence of 85 per 10,000 in Hamadan, while Vatankhah et al.’s (4) systematic review reported Iran’s national rate at 23 per 10,000. Notably, Birjand’s CAs prevalence decreased from Faal et al.’s (10) 2015 - 2016 estimate of 18.3 per 10,000, suggesting potential improvements in prenatal care or methodological differences. Globally, CAs rates vary substantially, from 170 per 10,000 in Nigeria (13) to 132 per 10,000 in Qatar (8) and 63.8 per 10,000 in Guatemala (14), reflecting disparities in genetics, environment, and healthcare access.

Cardiovascular (18 cases), gastrointestinal (16 cases), and nervous system anomalies (15 cases) predominated, with spina bifida/meningocele and diaphragmatic hernia (7 cases each) being the most frequent. This aligns with Vietnamese data highlighting cardiac and digestive anomalies (15) but contrasts with Ethiopian studies emphasizing neural tube defects (16). The persistent prevalence of neural tube anomalies — despite known benefits of folic acid prophylaxis (17, 18) — suggests gaps in prenatal education or supplementation adherence. The high frequency of cardiovascular anomalies corroborates Toobaie et al.’s (19) findings in low- and middle-income countries (LMICs), with risk factors including maternal diabetes, consanguinity, and teratogen exposure (20-22).

No significant associations emerged between CAs and infant sex, maternal age, gestational age, birth season, or nationality. While consistent with Ajao and Adeoye’s (23) Nigerian study, this contrasts with gender-discrepant reports: Narapureddy et al. (11) found higher female CAs rates, whereas Sokal et al. (24) noted male predominance. Maternal age showed no correlation, contradicting established links to advanced maternal age (25-27); this may reflect our study’s uneven age distribution. Parity and gestational age similarly lacked significance, aligning with Nigerian and Qatari studies (8, 23, 28, 29) but opposing Sarkar et al.’s (30) Indian multiparity association. Limited evidence on birth season effects (31, 32) warrants contemporary research.

Rural residence significantly predicted higher CAs prevalence (0.38% vs. 0.10% urban), echoing Riyahifar et al.’s (33) Iranian findings but conflicting with null-association studies (7, 12) and an African meta-analysis showing lower rural risk (34). This disparity may reflect rural healthcare access barriers or environmental exposures, emphasizing the need for targeted interventions.

5.1. Conclusions

This study showed that the prevalence of CAs among live births in Birjand was 14.3 cases per 10,000 live births, which is lower than the rates reported in other regions of Iran. The high prevalence of cardiovascular, gastrointestinal, and central nervous system anomalies highlights the need to focus on identifying and managing risk factors for CAs, as well as providing more comprehensive prenatal care services.

5.2. Study Limitations

A limitation of this study stems from its reliance on the National Iman System, which only captures CAs diagnosed at birth. This approach likely underestimates the true prevalence, as it misses: (1) Anomalies detected later in infancy; and (2) cases terminated before 18 weeks and 5 days under Iran’s pregnancy termination policies. Additional constraints include the short study duration and limited geographical coverage, which may affect generalizability. Future research should incorporate longer follow-up periods, wider regional representation, and prenatal diagnosis data to provide more accurate epidemiological estimates.

Acknowledgments

Footnotes

References

  • 1.
    Kurdi AM, Majeed-Saidan MA, Al Rakaf MS, AlHashem AM, Botto LD, Baaqeel HS, et al. Congenital anomalies and associated risk factors in a Saudi population: a cohort study from pregnancy to age 2 years. BMJ Open. 2019;9(9). e026351. [PubMed ID: 31492776]. [PubMed Central ID: PMC6731804]. https://doi.org/10.1136/bmjopen-2018-026351.
  • 2.
    Verma RP. Evaluation and Risk Assessment of Congenital Anomalies in Neonates. Children (Basel). 2021;8(10). [PubMed ID: 34682127]. [PubMed Central ID: PMC8534483]. https://doi.org/10.3390/children8100862.
  • 3.
    Wojcik MH, Agrawal PB. Deciphering congenital anomalies for the next generation. Cold Spring Harb Mol Case Stud. 2020;6(5). [PubMed ID: 32826208]. [PubMed Central ID: PMC7552931]. https://doi.org/10.1101/mcs.a005504.
  • 4.
    Vatankhah S, Jalilvand M, Sarkhosh S, Azarm M, Mohseni M. Prevalence of Congenital Anomalies in Iran: A Review Article. Iran J Public Health. 2017;46(6).
  • 5.
    Christianson A, Howson CP, Modell B. March of Dimes: global report on birth defects, the hidden toll of dying and disabled children. White Plains, USA; 2005.
  • 6.
    Khaleghnejad-Tabari A, Dastgiri S, Soori H, Ansari-Moghaddam A, Ghaem H, Latifi M, et al. Prevalence of Congenital Anomalies in Iran. Arch Iran Med. 2024;27(10):545-50. [PubMed ID: 39492561]. [PubMed Central ID: PMC11532651]. https://doi.org/10.34172/aim.31287.
  • 7.
    Chimah OU, Emeagui KN, Ajaegbu OC, Anazor CV, Ossai CA, Fagbemi AJ, et al. Congenital malformations: Prevalence and characteristics of newborns admitted into Federal Medical Center, Asaba. Health Sci Rep. 2022;5(3). e599. [PubMed ID: 35509389]. [PubMed Central ID: PMC9059225]. https://doi.org/10.1002/hsr2.599.
  • 8.
    Al-Dewik N, Samara M, Younes S, Al-Jurf R, Nasrallah G, Al-Obaidly S, et al. Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study. Sci Rep. 2023;13(1):2198. [PubMed ID: 36750603]. [PubMed Central ID: PMC9905082]. https://doi.org/10.1038/s41598-023-27935-3.
  • 9.
    Golalipour MJ, Ahmadpour-Kacho M, Vakili MA. Congenital malformations at a referral hospital in Gorgan, Islamic Republic of Iran. East Mediterr Health J. 2005;11(4):707-15. [PubMed ID: 16700387].
  • 10.
    Faal G, Abbasi R, Bijari B. The Prevalence of Major Congenital Anomalies Among Live Births in Birjand, Iran. Mod Care J. 2018;15(2). https://doi.org/10.5812/modernc.81084.
  • 11.
    Narapureddy BR, Zahrani Y, Alqahtani HEM, Mugaiahgari BKM, Reddy LKV, Mohammed Asif S, et al. Examining the Prevalence of Congenital Anomalies in Newborns: A Cross-Sectional Study at a Tertiary Care Maternity Hospital in Saudi Arabia. Children (Basel). 2024;11(2). [PubMed ID: 38397300]. [PubMed Central ID: PMC10886957]. https://doi.org/10.3390/children11020188.
  • 12.
    Sedighi I, Nouri S, Sabzehei MK, Sangestani M, Mohammadi Y, Amiri J, et al. Determining the Risk Factors of Congenital Anomalies of Newborns in Hamadan Province. J Compr Pediatrics. 2020;11(2). https://doi.org/10.5812/compreped.90907.
  • 13.
    Osanyin GE, Odeseye AK, Okojie OO, Akinajo OR, Okusanya BO. Fetal Congenital Anomaly in Tertiary Hospital in Lagos, South-West Nigeria: A Review of Presentation and its Outcome. West Afr J Med. 2019;36(1):25-8. [PubMed ID: 30924113].
  • 14.
    Figueroa L, Garces A, Hambidge KM, McClure EM, Moore J, Goldenberg R, et al. Prevalence of clinically-evident congenital anomalies in the Western highlands of Guatemala. Reprod Health. 2020;17(Suppl 2):153. [PubMed ID: 33256772]. [PubMed Central ID: PMC7708098]. https://doi.org/10.1186/s12978-020-01007-5.
  • 15.
    Giang HTN, Bechtold-Dalla Pozza S, Ulrich S, Linh LK, Tran HT. Prevalence and Pattern of Congenital Anomalies in a Tertiary Hospital in Central Vietnam. J Trop Pediatr. 2020;66(2):187-93. [PubMed ID: 31377805]. https://doi.org/10.1093/tropej/fmz050.
  • 16.
    Anane-Fenin B, Opoku DA, Chauke L. Prevalence, Pattern, and Outcome of Congenital Anomalies Admitted to a Neonatal Unit in a Low-Income Country-a Ten-Year Retrospective Study. Matern Child Health J. 2023;27(5):837-49. [PubMed ID: 36853373]. [PubMed Central ID: PMC10115728]. https://doi.org/10.1007/s10995-023-03591-x.
  • 17.
    Viswanathan M, Treiman KA, Doto JK, Middleton JC, Coker-Schwimmer EJL, Nicholson WK. Preventive Services Task Force Evidence Syntheses, formerly Systematic Evidence Reviews. In: Viswanathan M, Treiman KA, Doto JK, Middleton JC, Coker-Schwimmer EJL, Nicholson WK, editors. Folic Acid Supplementation: An Evidence Review for the U.S. Preventive Services Task Force. Rockville (MD): Agency for Healthcare Research and Quality; 2017.
  • 18.
    Amoako BK, Anto F. Late ANC initiation and factors associated with sub-optimal uptake of sulphadoxine-pyrimethamine in pregnancy: a preliminary study in Cape Coast Metropolis, Ghana. BMC Pregnancy Childbirth. 2021;21(1):105. [PubMed ID: 33530957]. [PubMed Central ID: PMC7852262]. https://doi.org/10.1186/s12884-021-03582-2.
  • 19.
    Toobaie A, Yousef Y, Balvardi S, St-Louis E, Baird R, Guadagno E, et al. Incidence and prevalence of congenital anomalies in low- and middle-income countries: A systematic review. J Pediatr Surg. 2019;54(5):1089-93. [PubMed ID: 30786990]. https://doi.org/10.1016/j.jpedsurg.2019.01.034.
  • 20.
    Sun R, Liu M, Lu L, Zheng Y, Zhang P. Congenital Heart Disease: Causes, Diagnosis, Symptoms, and Treatments. Cell Biochem Biophys. 2015;72(3):857-60. [PubMed ID: 25638345]. https://doi.org/10.1007/s12013-015-0551-6.
  • 21.
    Ahmadi A, Gharipour M, Navabi ZS, Heydari H. Risk factors of congenital heart diseases: A hospital-based case-control study in Isfahan, Iran. ARYA Atheroscler. 2020;16(1):1-6. [PubMed ID: 32499825]. [PubMed Central ID: PMC7244794]. https://doi.org/10.22122/arya.v16i1.1941.
  • 22.
    Wu L, Li N, Liu Y. Association Between Maternal Factors and Risk of Congenital Heart Disease in Offspring: A Systematic Review and Meta-Analysis. Matern Child Health J. 2023;27(1):29-48. [PubMed ID: 36344649]. [PubMed Central ID: PMC9867685]. https://doi.org/10.1007/s10995-022-03538-8.
  • 23.
    Ajao AE, Adeoye IA. Prevalence, risk factors and outcome of congenital anomalies among neonatal admissions in OGBOMOSO, Nigeria. BMC Pediatr. 2019;19(1):88. [PubMed ID: 30943931]. [PubMed Central ID: PMC6446329]. https://doi.org/10.1186/s12887-019-1471-1.
  • 24.
    Sokal R, Tata LJ, Fleming KM. Sex prevalence of major congenital anomalies in the United Kingdom: a national population-based study and international comparison meta-analysis. Birth Defects Res A Clin Mol Teratol. 2014;100(2):79-91. [PubMed ID: 24523198]. [PubMed Central ID: PMC4016755]. https://doi.org/10.1002/bdra.23218.
  • 25.
    Sadough Shahmirzady P, Esteghamati A, Sadough A, Sarvi F. The Risk Factors Associated with Congenital Anomalies in Newborns. J Compr Pediatrics. 2020;11(3). https://doi.org/10.5812/compreped.90136.
  • 26.
    You SJ, Kang D, Sung JH, Park H, Cho J, Choi SJ, et al. The influence of advanced maternal age on congenital malformations, short- and long-term outcomes in offspring of nulligravida: a Korean National Cohort Study over 15 years. Obstet Gynecol Sci. 2024;67(4):380-92. [PubMed ID: 38666294]. [PubMed Central ID: PMC11266851]. https://doi.org/10.5468/ogs.24005.
  • 27.
    Ahn D, Kim J, Kang J, Kim YH, Kim K. Congenital anomalies and maternal age: A systematic review and meta-analysis of observational studies. Acta Obstet Gynecol Scand. 2022;101(5):484-98. [PubMed ID: 35288928]. [PubMed Central ID: PMC9564554]. https://doi.org/10.1111/aogs.14339.
  • 28.
    Anyanwu LC, Danborno B, Hamman WO. Birth Prevalence of Overt Congenital Anomalies in Kano Metropolis: Overt Congenital Anomalies in the Kano. Univ J Public Health. 2015;3(2):89-96. https://doi.org/10.13189/ujph.2015.030206.
  • 29.
    Ameen SK, Alalaf SK, Shabila NP. Pattern of congenital anomalies at birth and their correlations with maternal characteristics in the maternity teaching hospital, Erbil city, Iraq. BMC Pregnancy Childbirth. 2018;18(1):501. [PubMed ID: 30563491]. [PubMed Central ID: PMC6299654]. https://doi.org/10.1186/s12884-018-2141-2.
  • 30.
    Sarkar S, Patra C, Dasgupta MK, Nayek K, Karmakar PR. Prevalence of congenital anomalies in neonates and associated risk factors in a tertiary care hospital in eastern India. J Clin Neonatol. 2013;2(3):131-4. [PubMed ID: 24251257]. [PubMed Central ID: PMC3830148]. https://doi.org/10.4103/2249-4847.119998.
  • 31.
    de la Vega A, Lopez-Cepero R. Seasonal variations in the incidence of some congenital anomalies in Puerto Rico based on the timing of conception. P R Health Sci J. 2009;28(2):121-5. [PubMed ID: 19530553].
  • 32.
    Bailar JC. Congenital malformations and season of birth: a brief review. Eugen Q. 1965;12(3):146-53. [PubMed ID: 5831510]. https://doi.org/10.1080/19485565.1965.9987622.
  • 33.
    Riyahifar S, Ali Akbari Khoei R, Mirnia K. Contribution Factors on Congenital Malformations in Neonates in Iran. Iran J Pediatrics. 2021;31(5). https://doi.org/10.5812/ijp.105984.
  • 34.
    Moges N, Anley DT, Zemene MA, Adella GA, Solomon Y, Bantie B, et al. Congenital anomalies and risk factors in Africa: a systematic review and meta-analysis. BMJ Paediatr Open. 2023;7(1). [PubMed ID: 37429669]. [PubMed Central ID: PMC10335447]. https://doi.org/10.1136/bmjpo-2023-002022.

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