Abstract
Objective
This study aims to estimate the prevalence of neural tube defects (NTDs) and to identify potential risk factors in the Ethiopian context.
Study design
Systematic review and meta-analysis.
Study participants
A total of 611 064 participants were included in the review obtained from 42 studies.
Methods
PubMed (Medline), Embase and Cochrane Library databases in combination with other potential sources of literature were systematically searched, whereby studies conducted between January 2010 and December 2022 were targeted in the review process. All observational studies were included and heterogeneity between studies was verified using Cochrane Q test statistics and I2 test statistics. Small study effects were checked using Egger’s statistical test at a 5% significance level.
Result
The pooled prevalence of all NTDs per 10 000 births in Ethiopia was 71.48 (95% CI 57.80 to 86.58). The between-study heterogeneity was high (I2= 97.49%, p<0.0001). Birth prevalence of spina bifida (33.99 per 10 000) was higher than anencephaly (23.70 per 10 000), and encephalocele (4.22 per 10 000). Unbooked antenatal care (AOR 2.26, 95% CI (1.30 to 3.94)), preconception intake of folic acid (AOR 0.41, 95% CI (0.26 to 0.66)), having chronic medical illness (AOR 2.06, 95% CI (1.42 to 2.99)), drinking alcohol (AOR 2.70, 95% CI (1.89 to 3.85)), smoking cigarette (AOR 2.49, 95% CI (1.51 to 4.11)), chewing khat (AOR 3.30, 95% CI (1.88 to 5.80)), exposure to pesticides (AOR 3.87, 95% CI (2.63 to 5.71)), maternal age ≥35 (AOR 1.90, 95% CI (1.13 to 3.25)), maternal low educational status (AOR 1.60, 95% CI (1.13 to 2.24)), residing in urban areas (AOR 0.75, 95% CI (0.58 to 0.97))and family history of NTDs (AOR 2.51, 95% CI (1.36 to 4.62)) were associated with NTD cases.
Conclusion
The prevalence of NTDs in Ethiopia is seven times as high as in other Western countries where prevention measures are put in place. Heredity, maternal and environmental factors are associated with a high prevalence of NTDs. Mandatory fortification of staple food with folic acid should be taken as a priority intervention to curb the burden of NTDs. To smoothen and overlook the pace of implementation of mass fortification, screening, and monitoring surveillance systems should be in place along with awareness-raising measures.
PROSPERO registration number
CRD42023413490.
Keywords: Health policy, Neurology, Prenatal diagnosis
STRENGTHS AND LIMITATIONS OF THIS STUDY.
Screening, data extraction and quality assessment were done by two authors independently.
Recent studies were included to better estimate the birth prevalence and determine factors associated with neural tube defects.
Utilisation of the updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement coupled with the quality monitoring checklist.
Lack of publication from Benishangul Gumuz, Gambella, Afar, Central Ethiopia and Southwest Ethiopia regions.
Introduction
Neural tube defects (NTDs) are the second most common form of congenital anomaly (CA) following congenital heart defects. Those defects occurred due to perturbation in the process of neurulation, which is usually expected to be completed within 4 weeks after fertilisation.1 2 NTDs are broadly classified as closed and open based on their physical characteristics.3 Physical characteristics along with the location and extent of the defect had a role in determining the defect’s prognosis.4
Globally, more than a quarter million births were affected by NTDs, and the prevalence is more prominent in Eastern Mediterranean, South-East Asian and African regions.5 6 Spinal bifida and anencephaly are two common forms of NTDs reported from different corners of the world and contribute to 29% of neonatal death in low-income countries.5 7 However, the paucity of routinely generated data to monitor the trend and effectiveness of measures implemented to curb congenital animalities is the major gap to be filled in resource-constrained settings.8 Acknowledging the gap, the WHO recommends the establishment of a surveillance system and CAs registry mechanism.9 Despite the recommendation, the implementation was not materialised in most African countries with few expectations like South Africa, which had a relatively matured system.10 11
Ethiopia is one of the countries with a very high burden of stillbirth and neonatal mortality, with a rate of 24.6, and 33 occurrences per 1000 live births, respectively.12 13 In Ethiopia, the prevalence of NTDs ranges between 60 and 63 per 10 000 births, which is nearly two times higher than the estimated prevalence in East Africa.14 15 Furthermore, in Ethiopia, out of every 10 000 births, 104 result in death due to NTDs specifically craniorachischisis (it is a severe form of NTDs characterised by openings in both the brain and spinal cord).16
Globally, various prevention modalities spanning from the advanced genetic test to the simplest micronutrient fortification with folic acid were put forward to avert untoward health consequences of NTDs and circumvent the economic burden imposed on the health system.17–19 Along with the establishment of the surveillance programme, prenatal examination (ie, antenatal ultrasonography, amniocentesis and genetic counselling) is one of the identification platforms that is designed for screening NTD during pregnancy and taking timely measures, including elective termination of the pregnancy.6 Ultrasound examination, measuring homocysteine concentration and gauging maternal serum alpha-fetoprotein levels are some of the commonly used investigative mechanisms. However, in Ethiopia, those advanced laboratory investigations are not feasible and affordable for routine use.20 Henceforth, the most suitable, practicable and scalable means of curbing the burden of NTDs is the fortification of staple foods with folic acid.21 22 Despite its comparative advantage and ability to prevent most NTDs, except few exceptions that are resistant to folic acid fortification,23 24 mass fortification of staple foods has not yet been fully implemented in most sub-Saharan countries.14 25
In general, the formation of NTDs could stem from hereditary origins to environmental factors, although the mechanism of NTDs pathogenesis has not been well elucidated.26 27 A history of NTDs, family history of NTDs and consanguineous marriages specifically with first-degree relatives are identified as hereditary factors that contribute to NTDs.28–32 Maternal nutrition status specifically related to the consumption of folic acid at preconception and during the first trimester of pregnancy is also intertwined with NTDs.33 Exposure to teratogenic factors such as herbal or unknown medication,34 pharmaceutical elements (antiepileptic medications, opioid medication and antiretroviral treatment),35 36 industrial waste and pollutants (polycyclic aromatic hydrocarbons, heavy metals and pesticides)37–42 have a strong connection with the formation of NTDs. The risk of developing NTDs is not only limited to the aforementioned factors, it could also be associated with a medical history and personal habits of the mother, such as smoking habits and alcohol consumption.43–46
Recent evidence coming out of the Ethiopian perinatal death surveillance and response system indicates that CAs have a significant role in perinatal mortality.47–49 In addition to this, limited capacity to manage NTD cases at tertiary facilities, resulting in poor prognoses after treatment due to high rates of readmission and reoperation, is another critical factor contributing to the escalated national burden at this point.50 51 In Ethiopia, preventative measures have not yet been endorsed and implemented in such a way that would put a solid footing to combat the untoward impacts of NTDs due to a lack of feasibility assessment, local capacity and policy directives that would enforce preventive measures.25 In addition to the aforementioned reasons, the current review is also conducted to fill gaps in the existing work of literature in terms of geographical coverage and sample size. Considering all this, this review is carried out to provide a consummate and updated picture of the magnitude and possible risk factors that could contribute to NTDs in Ethiopia.
Materials and method
Protocol and registration
Before conducting the review, the protocol for the review was registered at the International Prospective Register of Systematic Review (PROSPERO), University of York Center for Reviews and Dissemination with link https://tinyurl.com/nt3fvcxz and ref no ID CRD42023413490. As depicted in online supplemental table 1, the updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement coupled with the checklist was used to report this review.52
bmjopen-2023-077685supp002.pdf (52.4KB, pdf)
Study design and search strategy
Three databases (ie, PubMed (Medline), Embase and Cochrane Library) in combination with other potential sources of grey literature were used for the review. Articles published in English language between January 2010 and December 2022, which are exclusively focused on Ethiopia, were eligible for further consideration in the review process. As depicted in online supplemental table 2, the search terms of interest included Medical Search Headings (MeSH) and keywords “neural tube defects” OR “congenital abnormalities” OR “anencephaly” OR ”encephalocele” OR “spina bifida” OR “meningocele” OR “myelomeningocele” AND [“Ethiopia”]. Duplicate studies were primarily extracted and excluded via EndNote software. To maintain the quality and foster the pace of extraction, two independent reviews were assigned to identify studies based on their titles and abstracts. Those identified lists of articles during the initial search were transferred to EndNote to vigilantly screen duplication. The selection of articles has proceeded per the defined set of criteria, the studies were selected if they (1) were conducted in Ethiopia; (2) were observational studies (cross-sectional, cohort and case controls), and randomised controlled trials reporting the incidence or prevalence estimates with and without confidence bounds of neural tube defects (encephalocele, spina bifida or anencephaly), (3) published in the English language and (4)) population-based (all cases in a defined geographical area, or hospital or community-based surveillance). Commentaries, systematic reviews and studies not conducted on human subjects were excluded from the review.
bmjopen-2023-077685supp004.pdf (62KB, pdf)
Data extraction and quality assessment
After the extraction of potential studies, two reviewers independently screened the full-text articles for eligibility. Afterward, the quality of studies was objectively measured using Joanna Briggs Institute checklist designed for various study methods.53 Disagreement between the reviews on the quality of studies was handled through the direct involvement of the primary author in the evidence-based discussion. Based on the quality assessment criteria specific to each study design, only studies that achieved a score of 50% or above were deemed eligible for further analysis.54 Subsequently, pertinent data elements were extracted from articles that met the inclusion criteria. Year of publication, region, year of study, study design, sample size, study outcome, the total number of NTDs as well as the specific number of birth anencephaly, spina bifida, meningocele and encephalocele were extracted through a predesigned data extraction tool.
Statistical analysis
The entire analyses of the study were conducted using STATA V.17. The primary outcome of the review was the birth prevalence of NTDs reported per 10 000 births (live births only or live births+stillbirths only or live births+stillbirths+spontaneous abortions) and the secondary outcome of the review was to identify predictors of NTDs. The meta prop command of STATA was used to compute the pool effect estimate.55 Meta-analysis was performed with the DerSimonian-Laird random-effects model with Hartung-Knapp-Sidik-Jonkman variance correction.56 This random effect model was selected due to its potential to capture the variation and uncertainty of the true effect stemming from the study population, study design and sample size.57 Individual and pooled estimates were graphically displayed using a forest plot. Moreover, a leave-one-out sensitivity analysis was done to point out the influence of a single study on the overall estimate. Among studies heterogeneity was assessed using I2 statistics, expressed as % (low (25%), moderate (50%) and high (75%) and Cochrane’s Q statistic (significance level < 0.05).58 Subgroup analysis with multivariate meta-regression was performed to objectively identify the source of heterogeneity. Finally, to ascertain the presence of publication bias both the funnel plot and Egger’s test were conducted, and the p<0.05 value was used as a cut-off point to declare the bias.
Patient and public involvement
Patients and public were not involved in the design, conduct, reporting and dissemination plans of this research.
Results
A total of 285 articles were retrieved from various databases, out of which 91 articles were eligible for full-text review. Of the included studies, 42 studies met the inclusion criteria to be part of the review (figure 1).
Figure 1.
Flow diagram showing the procedures of selecting studies for the meta-analysis on the birth prevalence and risk factors of neural tube defects in Ethiopia, 2022. NTD, neural tube defect.
Characteristics of included studies
Twenty-two cross-sectional, 19 case-control and 1 cohort study were included in the final review. With respect to the geographical coverage of studies, a total of eight studies were cross-regional studies (studies taken in two or more regions of the country), among them three studies took place in Addis Ababa and Amhara region simultaneously,59–61 four studies were conducted in east part of county including Oromia, Harari, Somalia and Dire Dawa city administration62–65 and one study was carried out in Sidama and Southern Ethiopia region.66 On the other hand, the remaining studies were exclusively conducted in four regions and one city administration (Addis Ababa=5,67–71 Amhara=13,72–84 Harari=1,85 Oromia=1086–95 and Tigray=596–100). As displayed in the annex section, online supplemental table 3, a total of 611 064 participants were involved in 42 studies. From those 42 studies, 6621 NTD cases were identified with a minimum of 6 cases from Addis Ababa to a maximum of 1873 cases from a cross-regional study.59 67
bmjopen-2023-077685supp006.pdf (38.5KB, pdf)
Meta-analysis
Birth prevalence of NTDs
Twenty-two primary studies were included to estimate the birth prevalence of NTDs in Ethiopia. Accordingly, the pooled prevalence of NTDs was 71.48 cases (95% CI 57.80 to 86.58) per 10 000 births (figure 2).
Figure 2.

Forest plot showing the pooled birth prevalence of neural tube deficits in Ethiopia. ES,Estimated Prevalence.
Handling heterogeneity
To handle the observed heterogeneity among extracted studies various modalities were used including sensitivity analysis and meta-regression. Per the leave-one-out sensitivity analysis approach, none of the studies excessively influenced the estimated birth prevalence of NTDs as online supplemental figure 1. To examine the level of heterogeneity, subgroup analysis was performed using region, study period, sample size and study design. Based on region, the highest birth prevalence of NTDs was observed in the Tigray region (159.15 NTD cases per 10 000 births), whereas the lowest prevalence was reported from Harari (12.36 NTD cases per 10 000 births). With the respective study period, the birth prevalence of NTDs was higher among studies conducted during the era of Sustainable Development Goals, which was 81.89 NTD cases per 10 000 births per pooled report from 16 studies, while the prevalence was 49.67 cases per 10 000 births from 6 studies conducted during millennium development goals. Moreover, pooled NTDs of smaller sample size studies was 133.97 per 10 000 births (table 1).
Table 1.
Subgroup analysis of the birth prevalence of neural tube defects by study characteristics in Ethiopia
| Subgroup | Category | No of studies | Birth prevalence of NTDs per 10 000 births (95% Cl) | Heterogeneity I2 (%) | P value |
| Region | Addis Ababa | 4 | 71.55 (50.17 to 96.51) | 69.80 | <0.001 |
| Amhara | 6 | 46.07 (37.65 to 55.32) | 80.15_ | _<0.001 | |
| Harari | 1 | 12.36 (8.31 to 18.38) | _ | _ | |
| Oromia | 4 | 64.04 (37.61 to 97.11) | 87.33 | _<0.001 | |
| Tigray | 3 | 159.15 (101.84 to 228.83) | _ | _ | |
| Cross-regional * | 4 | 87.77 (57.83 to 123.83) | 98.79 | _<0.001 | |
| Study period | During MDGs† | 6 | 49.67 (38.75 to 61.92) | 94.59 | <0.001 |
| During SDGs‡ | 16 | 81.89 (57.86 to 109.55) | 97.80 | <0.001 | |
| Sample size | Smaller size§ | 3 | 133.97 (68.14 to 220.25) | _ | _ |
| Mega size¶ | 19 | 67.04 (53.43 to 82.17) | 97.78 | <0.001 | |
| Study design | Cross-sectional | 19 | 66.91 (53.70 to 81.52) | 97.04 | <0.001 |
| Case–control | 2 | 53.32 (42.40 to 65.46) | _ | _ | |
| Cohort | 1 | 107.08 (98.32 to 116.61) | _ | _ |
*Study conducted in two or more regions of Ethiopia.
†Study took place between 2010 and 2015.
‡Study conducted between 2016 and 2022.
§Study with a sample size below 1000 observations.
¶Study with a sample size of 1000 or more observations.
bmjopen-2023-077685supp001.pdf (72.4KB, pdf)
Meta-regression
To objectively identify the source of variation, multivariable meta-regression was performed and as a result, none of the variables were indicated with the source of heterogeneity as indicated in online supplemental table 4.
bmjopen-2023-077685supp007.pdf (27.2KB, pdf)
Publication bias
Assessment of small study effects using funnel plots showed a largely symmetric distribution of studies around the random effects estimate of the birth prevalence of NTDs (figure 3). Moreover, Egger’s regression test was p=0.1749, which shows the absence of publication bias.
Figure 3.

Funnel plot showing the results of the publication bias among studies, 2022.
Birth prevalence of various types of NTDs
Next, we assess specific NTDs—Spina bifida, anencephaly and encephalocele. Among the NTDs, the birth prevalence of spina bifida was 33.99 (95% CI 25.59 to 43.52) cases per 10 000 births per pooled report from 21 studies (figure 4). Egger’s regression test was p=0.1945, which shows the absence of publication bias, and per leave-out analysis, no studies affected the pooled prevalence. According to subgroup analysis by region, the highest burden was reported from the Tigray region (102.02 cases per 10 000 births), and the lowest was observed in the Harari region (10.30 cases per 10 000 births), see the detailed in online supplemental figure 2.
Figure 4.

Forest plot showing the pooled birth prevalence of spina bifida in Ethiopia. ES, Estimated Prevalence.
bmjopen-2023-077685supp003.pdf (66.5KB, pdf)
Similarly, according to a complied report from 17 studies, the birth prevalence of anencephaly was 23.70 (95% CI 13.96 to 35.84) cases per 10 000 births (figure 5). Egger’s regression test was p=0.2276, which shows the absence of publication bias, and per leave-out analysis, no studies affected the pooled prevalence. Per subgroup analysis by region, the highest burden was observed in the Tigray region (45.60 cases per 10 000 births) while the lowest was reported in the Amhara region (13.66 cases per 10 000 births) (see the detail in online supplemental figure 3).
Figure 5.

Forest plot showing the pooled birth prevalence of anencephaly in Ethiopia. ES, Estimated Prevalence.
bmjopen-2023-077685supp005.pdf (60.4KB, pdf)
Moreover, encephalocele was reported less frequently, per the aggregate report of 10 studies, the birth prevalence was 4.22 (95% CI 1.49 to 8.08) cases per 10 000 births (figure 6). No publication bias was reported according to the Egger’s test for encephaloceles, which was p=0.0824.
Figure 6.

Forest plot showing the pooled birth prevalence of encephaloceles in Ethiopia. ES, Estimated Prevalence.
Risk factors of neural tube defects
A total of 19 potential risk factors, composed of 5 major categories, were included in the review and 13 of them were significantly associated with NTDs. The predictors indicate that, under the category of maternal sociodemographic characteristics, being older than 35 (AOR 1.92, 95% CI (1.13 to 3.25)) and being an uneducated woman (AOR 1.60, 95% CI (1.13 to 2.24)) increased the risk of having NTDs affected perinate. Residing in an urban area (AOR 0.75, 95% CI (0.58 to 0.97)) reduced the probability of having NTDS affected perinate by 25%.
Among risk factors indicated under obstetric and medical-related, nutritional characteristics of mothers, being unbooked for antenatal care (ANC) (AOR 2.26, 95% CI (1.30 to 3.94)), having a family history of NTDs (AOR 2.51, 95% CI (1.36 to 4.62)) and having a chronic illness (AOR 2.06, 95% CI (1.42 to 2.99)) increased risk of giving birth with NTDs. However, preconception intake of folic acid lowers the risk of having NTDs affected perinate by 59% (AOR 0.41, 95% CI (0.26 to 0.66)).
With respect to exposure status to pharmaceuticals and environmental hazards, utilisation of herbal medicine (AOR 3.91, 95% CI (2.61 to 5.84)) and illicit drugs (AOR 3.59, 95% CI (2.18 to 5.19)) as well as a history of exposure to pesticides (AOR 3.87, 95% CI (2.63 to 5.71)) and living around a polluting industry (AOR 1.77, 95% CI (1.62 to 1.93)) increase the risk of having NTDs affected birth. On the other hand, personal habits such as consuming alcohol (AOR 2.70, 95% CI (1.89 to 3.85)) and smoking cigarettes (AOR 2.49, 95% CI (1.51 to 4.11)) heightened the risk of having a child with NTDs. Moreover, the habit of chewing khat (khat is called Catha edulis Forsk by its scientific name, is an evergreen, mild-narcotic, flowering tree that mostly grows in East Africa101) is found to increase the risk of giving birth with NTDs in three folds (AOR 3.30, 95% CI (1.88 to 5.80)). However, six risk factors, namely the sex of perinate, balanced diet consumption, maternal mid-upper arm circumference status, utilisation of oral contraceptives and consanguinity marriage, were not associated with NTDs formation, as their CIs contained an AOR of 1. Lastly, as depicted in table 2, Eggers’s regression test revealed that there was no sign of publication bias, as per the defined criteria.
Table 2.
Pooled OR of the associations between neural tube defects and their associated factors
| Group of characteristics | Characteristics | Category | Pooled OR (95% CI) | No of studies | Egger’s test | I2 (%) |
| Maternal age | ||||||
| 1 | ≥35 | 1.92 (1.13 to 3.25) | 20 | 0.9081 | 86.66 | |
| ≤35 | 1 | |||||
| Maternal education | ||||||
| Uneducated | 1.60 (1.13 to 2.24) | 13 | 0.7707 | 75.39 | ||
| Educated | 1 | |||||
| Consanguinity marriage | ||||||
| Yes | 2.68 (0.38 to 18.87) | 6 | 0.5535 | 84.15 | ||
| No | 1 | |||||
| Maternal residence | ||||||
| Urban | 0.75 (0.58 to 0.97) | 20 | 0.6409 | 71.13 | ||
| Rural | 1 | |||||
| 2 | ANC follow-up | |||||
| Without ANC follow-up | 2.26 (1.30 to 3.94) | 16 | 0.3268 | 89.96 | ||
| With ANC follow-up | 1 | |||||
| Folic acid intake | ||||||
| Yes | 0.41 (0.26 to 0.66) | 25 | 0.9614 | 88.82 | ||
| No | 1 | |||||
| Family history of neural tube deficit | ||||||
| Yes | 2.51 (1.36 to 4.62) | 11 | 0.1484 | 70.52 | ||
| No | 1 | |||||
| History of chronic illness | ||||||
| Yes | 2.06 (1.42 to 2.99) | 21 | 0.0883 | 79.53 | ||
| No | 1 | |||||
| Oral contraceptive use | ||||||
| Yes | 1.22 (0.54 to 2.76) | 5 | 0.1894 | 81.57 | ||
| No | 1 | |||||
| Maternal MUAC | ||||||
| MUAC≤23 | 1.61 (0.27 to 9.46) | 3 | 0.8926 | 87.87 | ||
| MUAC≥23 | 1 | |||||
| Balanced diet consumption | ||||||
| Yes | 0.59 (0.15 to 2.29) | 5 | 0.3883 | 96.23 | ||
| No | 1 | |||||
| 3 | Herbal medication | |||||
| Yes | 3.91 (2.61 to 5.84) | 5 | 0.9632 | 0 | ||
| No | 1 | |||||
| Illicit drug intake | ||||||
| Yes | 3.59 (2.18 to 5.19) | 16 | 0.5313 | 90.83 | ||
| No | 1 | |||||
| Pesticide exposure | ||||||
| Yes | 3.87 (2.63 to 5.71) | 10 | 0.3211 | 20.94 | ||
| No | 1 | |||||
| Living near the polluting industry | ||||||
| Yes | 1.77 (1.62 to 1.93) | 3 | 0.4071 | 0.00 | ||
| No | 1 | |||||
| 4 | Alcohol intake | |||||
| Yes | 2.70 (1.89 to 3.85) | 18 | 0.8129 | 74.73 | ||
| No | 1 | |||||
| Smoking status | ||||||
| Smoker | 2.49 (1.51 to 4.11) | 14 | 0.058 | 60.04 | ||
| Nonsmoker | 1 | |||||
| Chewing khat | ||||||
| Yes | 3.30 (1.88 to 5.80) | 7 | 0.8176 | 79.00 | ||
| No | 1 | |||||
| 5 | Sex of neonate | |||||
| Male | 0.88 (0.70 to 1.09) | 17 | 0.8568 | 66.13 | ||
| Female | 1 |
1:Maternal sociodemographic characteristics.
2:Obstetric and medical related, nutritional characteristics of mothers.
3:Status of exposure to pharmaceuticals and environmental hazards.
4:Personal habits.
5:Newborn-related characteristics.
ANC, antenatal care; MUAC, maternal mid-upper arm circumference.
Discussion
In this meta-analysis, the prevalence of NTDs in Ethiopia was nearly 1 in every 10 births. The birth prevalence of spina bifida was nearly two times higher than anencephaly and eight times higher than encephalocele. Sociodemographic characteristics (maternal age and maternal education status), medical history (chronic medical illness), health-seeking behaviour (ANC visit), nutritional status (intake of folic acid), environmental exposure (pesticide exposure and living close to industrially polluted areas), hereditary factors (family history of NTDs), exposure to pharmaceuticals (illicit and herbal medication) and personal habit (drinking alcohol, smoking cigarettes and chewing khat) were associated with NTDs.
The pooled birth prevalence of NTDs in Ethiopia was three times higher than in other East African countries and two to five times higher than sub-Saharan Africa and the Africa continent. In comparison to most Western countries, it becomes ten times higher.14 102–106 This high birth prevalence of NTDs in Ethiopia could be explained due to a lag in taking more drastic measures in primary prevention, such as the mandatory fortification of staple food with folic acid. In line with this, there is ample evidence indicating that effective utilisation of mass fortification not only significantly reduces the burden but also the medical treatment costs of NTDs.7 17 Additionally, notable regional variation was observed in the burden of NTDs in Ethiopia. In this regard, the burden is nearly 2–3 times higher in the regions of Tigray, Harari and Somalia as compared with the national estimate.64 96 This variation may be explained by the fact that 78% of women within the reproductive age group had low RBC folate concentrations and the concentrations become much lower among pregnant women.107 108 Additionally, ecologically, the burden is disproportionately concentrated in the highland sorghum khat mixed farming system.109 In this context, the eastern parts of the county, including the Somali and Harari regions, are grouped under the aforementioned farming system, which may have contributed to a high burden of NTDs. With regards to the Tigray region, the risk of NTDs is higher as compared with the remaining part of the country, partly explained by the high prevalence of folate deficiency among women of reproductive age.110 However, it is important to consider that the burden might have worsened due to the conflict that broke out in 2020. This conflict has resulted in the disruption of the region’s health system, as evidenced by the damaged health infrastructures and abscondment of healthcare professionals.111 112 In summary, the findings imply that regional-level health system status and farming ecosystem should be considered in order to acrimoniously confront the burden of NTDs.
The review unravels that sociodemographic characteristics such as maternal education and maternal age were associated with NTDs. Perinates born from old age women and uneducated women have a higher risk of being affected by NTDs as compared with other respective categories. A similar finding was reported from Colombia113 and Saudi Arabia114; nevertheless, studies from Eritrea and Pakistan revealed that the burden is more concentrated among younger-aged mothers.32 115 This might be explained by older women’s less likelihood of taking supplements that contain folic acid.116 With respect to education, the findings agreed well with studies conducted in Pakistan32 and India.117 The meta-analysis of 45 studies also illustrated45 those uneducated women have a higher risk of giving birth to a child with NTDs. In Ethiopia, only a limited number of women were aware of and had access to periconceptional folic acid usage to avert the untoward consequence of NTDs, except for women residing in urban areas.118–121 In connection with this, per our review, intake of folic acid at preconception and during the early stages of pregnancy has reduced the risk of giving birth to a child with NTDs. However, utilisation of folic acid is more skewed to those who are educated and those who visited a health facility for ANC and family planning services due to better knowledge and access to utilisation.119 120 To this effect, women who had ANC visits had better access to use folic acid, which significantly lowered the risk of NTDs as portrayed in our review as well. Considering the benefit of health education for informed decision-making, Ethiopia launched health extension programmes in 2003, to provide health education and basic health service at a community level.122 123 In addition, various measures such as mass mobilisation and awareness-raising activities were taken to improve the uptake of ANC service, since it serves as one communication platform to actualise planned targets at the national and local levels.13 However, in recent days, the health extension programme falls short of bearing fruits due to a critical gap in the skills and motivation of health extension workers.124 Moreover, the suboptimal provision of quality ANC service is a challenge that comes up with wide-scale coverage of the service.125 126 With this backdrop, taking measures to optimise the health extension programme and improve the quality of ANC services could be used as an effective channel of communication to increase the uptake of folic acid.
The review also revealed that chronic illness is associated with NTDs. The finding was congruent with studies conducted in India,43 Saudi Arabia114 and Canada127 as well as a meta-analysis of 25 studies and multicounty studies of 29 counties.103 128 This is related to maternal diabetics, which affect genes involved in neural tube formation by altering routine regulation of miRNAs.129 Moreover, pregnant mothers who have chronic hypertension are expected to take medication containing ACE inhibitors and medication also increases the risk of having an NTD child.130 In tandem with this, our review also revealed that the intake of both prescribed and unprescribed drugs including herbal medication during the early onset of pregnancy was associated with NTDs. This finding was also supported in studies conducted elsewhere.34 35 131 In line with this, in Ethiopia, a significant number of pregnant mothers use herbal medication to alleviate symptoms, during the first trimester of pregnancy, shorten the duration of labour and reduce labour pain.132–134 Nevertheless, the safety of those medications has not yet been guaranteed by health authorities due to lack of supportive national-level policies and laws.135 However, working on improving access to maternal services could reduce the utilisation of herbal medication and possible complications that come up with the medications.136 In general, intake and prescription of medication should be considered at all stages of pregnancy to reduce medication induced NTDs. Besides, policies should be designed to integrate traditional medicine into the existing health system.
This review at hand revealed that environmental exposure such as contact with pesticides and living around industrial polluted areas is associated with NTDs. This finding was parallel with studies conducted in Turkey,40 China137 and the USA.138 This might be explained by the fact that most chemical compounds listed as environmental pollutants are lipophilic and can pass through the placental barrier and have the potential to disrupt normal embryonic development including the neurulation process. This deviation from normal embryonic development results in NTDs.28 139 In Ethiopia, organohalogenated compounds (ie, organochlorine pesticides, polychlorinated biphenyls and polybrominated diphenyl ethers) are one of the environmental pollutants and its residues were detected in surface water, soil and human breast milk.140 141 Moreover, the risk of exposure to those pollutants is higher among residents who live around large-scale farms, river basins and textile industries.142–144 In general, the observed gap in awareness, waste disposal and monitoring should be addressed to further minimise the impact on human and livestock health as well as the ecosystem.145–149
This review also revealed that having a family history of NTDs increases the risk of NTDs. A similar finding was reported from studies conducted in other settings.26 150 The risk of giving birth to a child with NTDs with first and subsequent pregnancy is higher among those who had NTDs with their first-degree and second-degree relatives. Despite lack of clarity on the pattern of inheritance, close examination of family history during preconception care had a role in the identification of possible hereditarily acquired risk and could pave the way for a timely recommendation of folic acid supplementation.151
Lastly, our review illustrated that personal habits such as smoking cigarettes, drinking alcohol and chewing khat are strongly connected with NTDs. The finding was corroborated by studies carried out elsewhere.152–154 The plausible explanation related to this could be the fact that both habits (ie, smoking cigarettes and drinking alcohol) have the potential to severely compromise the regulation mechanism of various genes in the neurulation process.155 156 Moreover, heavy alcohol use during pregnancy impairs the transportation of folic acid.157 The combination of all these alterations from normal processes could make the fetus prone to NTDs. In compliance with this, per the animal model study, chewing khat in pregnancy has negative consequences on the fetus, which is expressed in terms of growth retardation and developmental anomalies.158 In addition, farmers use various pesticides to increase the productivity of khat, and pesticide residues are commonly found in khat beyond the recommended level.159 160 This will heighten the risk of giving birth to a child with NTDs among mothers who are chronic khat users that could come from both the khat and the pesticides. Overall, the finding implied those personal habits should be avoided before having pregnancy and should be integrated well as one component of addiction treatment during preconception care.161
The review has the following limitation that needs to be acknowledged. (1) Absence of publication from Benishangul Gumuz, Gambella, Afar, Central Ethiopia region and Southwest Ethiopia region and this could jeopardise the inclusiveness of the review. (2) The high rate of pregnancy loss due to congenital defects could obscure the true burden of NTDs hence might be difficult to get a true picture from the currently available data. (3) Lack of studies conducted at a community level is another drawback of the review that could compromise its representativeness.
Conclusion
The prevalence of NTDs in Ethiopia is profoundly higher compared with neighbouring countries. This high prevalence might be explained by regional variation, sociodemographic characteristics, medical history, health-seeking behaviour, nutritional status, hereditary factors and exposure to environmental and pharmaceutical elements. As a way forward, considering its feasibility and efficacy, mandatory fortification of staple food should be implemented, primarily targeting high-risk regions. This should be accompanied by establishment of a national-level surveillance system to closely monitor the progress. In addition, awareness-raising measures should be taken by using effective modalities of communication such as health extension works and maternal services. Furthermore, the preconception service can be used as one platform to identify high-risk mothers for a timely recommendation of periconceptional folate supplementation.
Supplementary Material
Acknowledgments
We would like to acknowledge the authors of the included articles.
Footnotes
Contributors: All authors have made significant contributions to this study. NT developed the research question, wrote the first draft, designed the search strategy, edited and approved the final version of the article, and controlled and managed the overall work and is also a guarantor of this work. GH and MH revised the search strategy of databases, developed the data extraction form edited it and approved the final version of the article. FHW revised the data extraction form and edited and approved the final version of the article.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
All data relevant to the study are included in the article or uploaded as online supplemental information.
Ethics statements
Patient consent for publication
Not applicable.
References
- 1.Greene NDE, Copp AJ. Neural tube defects. Annu Rev Neurosci 2014;37:221–42. 10.1146/annurev-neuro-062012-170354 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ravi KS, Hassan SB, et al. Neural tube defects: different types and brief review of neurulation process and its clinical implication. J Family Med Prim Care 2021;10:4383–90. 10.4103/jfmpc.jfmpc_904_21 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Avagliano L, Massa V, George TM, et al. Overview on neural tube defects: from development to physical characteristics. Birth Defects Res 2019;111:1455–67. 10.1002/bdr2.1380 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Copp AJ, Stanier P, Greene NDE. Neural tube defects: recent advances, unsolved questions, and controversies. Lancet Neurol 2013;12:799–810. 10.1016/S1474-4422(13)70110-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Zaganjor I, Sekkarie A, Tsang BL, et al. Describing the prevalence of neural tube defects worldwide: a systematic literature review. PLoS One 2016;11:e0151586. 10.1371/journal.pone.0151586 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Blencowe H, Kancherla V, Moorthie S, et al. Estimates of global and regional prevalence of neural tube defects for 2015: a systematic analysis. Ann N Y Acad Sci 2018;1414:31–46. 10.1111/nyas.13548 [DOI] [PubMed] [Google Scholar]
- 7.Blencowe H, Cousens S, Modell B, et al. Folic acid to reduce neonatal mortality from neural tube disorders. Int J Epidemiol 2010;39 Suppl 1(Suppl 1):i110–21. 10.1093/ije/dyq028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Melo DG, Sanseverino MTV, Schmalfuss T de O, et al. Why are birth defects surveillance programs important Front Public Health 2021;9:753342. 10.3389/fpubh.2021.753342 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.ICBDSR W. Birth Defects Surveillance a Manual for Program Managers. Geneva: World Health Organization, 2014. [Google Scholar]
- 10.Kouame BD, N’guetta-Brou IA, Kouame GSY, et al. Epidemiology of congenital abnormalities in West Africa: results of a descriptive study in teaching hospitals in Abidjan: Cote D’Ivoire. Afr J Paediatr Surg 2015;12:51–5. 10.4103/0189-6725.150983 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Saib MZ, Dhada BL, Aldous C, et al. Observed birth prevalence of congenital anomalies among live births at a regional facility in Kwazulu natal province, South Africa. PLoS One 2021;16:e0255456. 10.1371/journal.pone.0255456 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Hug L, Mishra A, Lee S, et al. A neglected tragedy the global burden of stillbirths: report of the UN inter-agency group for child mortality estimation; 2020.
- 13.Ethiopian Public Health Institute (EPHI) [Ethiopia] and ICF . Ethiopia Mini Demographic and Health Survey 2019: Final Report. Rockville, Maryland, USA: EPHI and ICF, 2021. [Google Scholar]
- 14.Ssentongo P, Heilbrunn ES, Ssentongo AE, et al. Birth prevalence of neural tube defects in Eastern Africa: a systematic review and meta-analysis. BMC Neurol 2022;22:202. 10.1186/s12883-022-02697-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Bitew ZW, Worku T, Alebel A, et al. Magnitude and associated factors of neural tube defects in Ethiopia: a systematic review and meta-analysis. Glob Pediatr Health 2020;7:2333794X20939423. 10.1177/2333794X20939423 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Madrid L, Vyas KJ, Kancherla V, et al. Neural tube defects as a cause of death among stillbirths, infants, and children younger than 5 years in sub-Saharan Africa and Southeast Asia: an analysis of the CHAMPS network. Lancet Glob Health 2023;11:e1041–52. 10.1016/S2214-109X(23)00191-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Rodrigues VB, Silva E da, Dos Santos AM, et al. Prevented cases of neural tube defects and cost savings after folic acid fortification of flour in Brazil. PLoS One 2023;18:e0281077. 10.1371/journal.pone.0281077 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.World Health Organization . Birth Defects in South-East Asia: A Public Health Challenge: Situation Analysis. WHO Regional Office for South-East Asia, 2013. [Google Scholar]
- 19.Yi Y, Lindemann M, Colligs A, et al. Economic burden of neural tube defects and impact of prevention with folic acid: a literature review. Eur J Pediatr 2011;170:1391–400. 10.1007/s00431-011-1492-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kucha W, Seifu D, Tirsit A, et al. Folate, vitamin B12, and Homocysteine levels in women with neural tube defect-affected pregnancy in Addis Ababa, Ethiopia. Front Nutr 2022;9:873900. 10.3389/fnut.2022.873900 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kancherla V, Chadha M, Rowe L, et al. Reducing the burden of anemia and neural tube defects in Low- and middle-income countries: an analysis to identify countries with an immediate potential to benefit from large-scale mandatory fortification of wheat flour and rice. Nutrients 2021;13:244. 10.3390/nu13010244 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Fischer M, Stronati M, Lanari M. Mediterranean diet, folic acid, and neural tube defects. Ital J Pediatr 2017;43:74. 10.1186/s13052-017-0391-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Copp AJ, Greene NDE. Neural tube defects--disorders of neurulation and related embryonic processes. Wiley Interdiscip Rev Dev Biol 2013;2:213–27. 10.1002/wdev.71 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Greene NDE, Leung K-Y, Copp AJ. Inositol, neural tube closure and the prevention of neural tube defects. Birth Defects Res 2017;109:68–80. 10.1002/bdra.23533 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Kancherla V, Koning J, Biluts H, et al. Projected impact of mandatory food fortification with folic acid on neurosurgical capacity needed for treating Spina Bifida in Ethiopia. Birth Defects Res 2021;113:393–8. 10.1002/bdr2.1857 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Dupépé EB, Patel DM, Rocque BG, et al. Surveillance survey of family history in children with neural tube defects. J Neurosurg Pediatr 2017;19:690–5. 10.3171/2016.12.PEDS1668 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Isaković J, Šimunić I, Jagečić D, et al. Overview of neural tube defects: gene-environment interactions, preventative approaches and future perspectives. Biomedicines 2022;10:965. 10.3390/biomedicines10050965 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Finnell RH, Caiaffa CD, Kim S-E, et al. Gene environment interactions in the etiology of neural tube defects. Front Genet 2021;12:659612. 10.3389/fgene.2021.659612 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Anwar S, Taslem Mourosi J, Arafat Y, et al. Genetic and reproductive consequences of consanguineous marriage in Bangladesh. PLoS One 2020;15:e0241610. 10.1371/journal.pone.0241610 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Merten M. Keeping it in the family: consanguineous marriage and genetic disorders, from Islamabad to Bradford. BMJ 2019;365:1851. 10.1136/bmj.l1851 [DOI] [PubMed] [Google Scholar]
- 31.Komolafe EO, Ogunbameru IO, Onyia CU, et al. Family history of neural tube defects. J Neurosurg Pediatr 2018;21:337–8. 10.3171/2017.8.PEDS17437 [DOI] [PubMed] [Google Scholar]
- 32.Saleem MU, Ali MU, Hussnain QA. Prevalence and associated risk factors for neural tube defects in patients at Sheikh Zayed hospital Rahim Yar Khan. Pak J Med Sci 2010;4:197–202. [Google Scholar]
- 33.Bergman JEH, Otten E, Verheij J, et al. Folic acid supplementation influences the distribution of neural tube defect subtypes: a registry-based study. Reprod Toxicol 2016;59:96–100. 10.1016/j.reprotox.2015.11.007 [DOI] [PubMed] [Google Scholar]
- 34.Forci K, Bouaiti EA, Alami MH, et al. Incidence of neural tube defects and their risk factors within a cohort of Moroccan newborn infants. BMC Pediatr 2021;21:124. 10.1186/s12887-021-02584-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Yazdy MM, Mitchell AA, Tinker SC, et al. Periconceptional use of opioids and the risk of neural tube defects. Obstet Gynecol 2013;122:838–44. 10.1097/AOG.0b013e3182a6643c [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zash R, Holmes L, Diseko M, et al. Neural-tube defects and antiretroviral treatment regimens in Botswana. N Engl J Med 2019;381:827–40. 10.1056/NEJMoa1905230 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Lin S, Ren A, Wang L, et al. Oxidative stress and apoptosis in Benzo[A]Pyrene-induced neural tube defects. Free Radic Biol Med 2018;116:149–58. 10.1016/j.freeradbiomed.2018.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Liu M, Wang D, Wang C, et al. High concentrations of aluminum in maternal serum and Placental tissue are associated with increased risk for fetal neural tube defects. Chemosphere 2021;284. 10.1016/j.chemosphere.2021.131387 [DOI] [PubMed] [Google Scholar]
- 39.Tindula G, Mukherjee SK, Ekramullah SM, et al. Parental metal exposures as potential risk factors for Spina Bifida in Bangladesh. Environ Int 2021;157:106800. 10.1016/j.envint.2021.106800 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Demir N, Başaranoğlu M, Huyut Z, et al. The relationship between mother and infant plasma trace element and heavy metal levels and the risk of neural tube defect in infants. J Matern Fetal Neonatal Med 2019;32:1433–40. 10.1080/14767058.2017.1408064 [DOI] [PubMed] [Google Scholar]
- 41.Atlaw D, Tekalegn Y, Sahiledengle B, et al. Magnitude and determinants of neural tube defect in Africa: a systematic review and meta-analysis. BMC Pregnancy Childbirth 2021;21:426. 10.1186/s12884-021-03848-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Demelash Enyew H, Bogale BG, Hailu AB, et al. Environmental exposures and adverse pregnancy outcomes in Ethiopia: a systematic review and meta-analysis. PLoS One 2023;18:e0288240. 10.1371/journal.pone.0288240 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Deb R, Arora Gupta J, Saraswathy KN, et al. Sickness status and neural tube defects: a case-control study in a North Indian population. Birth Defects Res 2017;109:1393–9. 10.1002/bdr2.1126 [DOI] [PubMed] [Google Scholar]
- 44.Getinet T, Eyasu M, Shafie M. Factors associated with folic acid supplements resistant Spina Bifida in Addis Ababa, Ethiopia: a case-control study. Ethiop Med J 2021;59. [Google Scholar]
- 45.Jia S, Wei X, Ma L, et al. Maternal, paternal, and neonatal risk factors for neural tube defects: a systematic review and meta-analysis. Int J Dev Neurosci 2019;78:227–35. 10.1016/j.ijdevneu.2019.09.006 [DOI] [PubMed] [Google Scholar]
- 46.Zaheri F, Ranaie F, Shahoei R, et al. Risk factors associated with neural tube defects in infants referred to Western Iranian Obstetrical centers; 2013–2014. Electron Physician 2017;9:4636–42. 10.19082/4636 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Tesfay N, Tariku R, Zenebe A, et al. Cause and risk factors of early neonatal death in Ethiopia. PLoS ONE 2022;17:e0275475. 10.1371/journal.pone.0275475 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Tesfay N, Legesse F, Kebede M, et al. Determinant of Stillbirth among reviewed perinatal death in Ethiopia. Front Pediatr 2022;10:1030981. 10.3389/fped.2022.1030981 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Tesfay N, Tariku R, Zenebe A, et al. Timing of perinatal death; causes, circumstances, and regional variations among reviewed deaths in Ethiopia. PLoS ONE 2023;18:e0285465. 10.1371/journal.pone.0285465 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Getahun S, Masresha S, Zenebe E, et al. Four-year treatment outcomes of children operated for neural tube defect in Addis Ababa, Ethiopia: a retrospective study. World Neurosurg 2021;148:e695–702. 10.1016/j.wneu.2021.01.098 [DOI] [PubMed] [Google Scholar]
- 51.Tirsit A, Bizuneh Y, Yesehak B, et al. Surgical treatment outcome of children with neural-tube defect: a prospective cohort study in a high volume center in Addis Ababa, Ethiopia. Brain and Spine 2023;3:101787. 10.1016/j.bas.2023.101787 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Int J Surg 2021;88:105906. 10.1016/j.ijsu.2021.105906 [DOI] [PubMed] [Google Scholar]
- 53.Moola S, Munn Z, Tufanaru C, et al. Chapter 7: systematic reviews of etiology and risk. In: Joanna briggs institute reviewer’s manual 5. The Joanna Briggs Institute, 2020: 10.46658/JBIRM-190-01 [DOI] [Google Scholar]
- 54.Whittaker AL, George RP, O’Malley L. Prevalence of cognitive impairment following chemotherapy treatment for breast cancer: a systematic review and meta-analysis. Sci Rep 2022;12:2135. 10.1038/s41598-022-05682-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.IntHout J, Ioannidis JPA, Borm GF. The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably Outperforms the standard Dersimonian-Laird method. BMC Med Res Methodol 2014;14:25. 10.1186/1471-2288-14-25 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Röver C, Knapp G, Friede T. Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies. BMC Med Res Methodol 2015;15:99. 10.1186/s12874-015-0091-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Kanters S. Fixed-and random-effects models. Methods Mol Biol 2022;2345:41–65. 10.1007/978-1-0716-1566-9 [DOI] [PubMed] [Google Scholar]
- 58.Higgins J, Tompson S, Deeks J, et al. A meta-analysis on the effectiveness of smart-learning. Bmj 2003;327:557–60. 10.1136/bmj.327.7414.557 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Taye M, Afework M, Fantaye W, et al. Magnitude of birth defects in central and northwest Ethiopia from 2010-2014: a descriptive retrospective study. PLoS One 2016;11:e0161998. 10.1371/journal.pone.0161998 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Taye M, Afework M, Fantaye W, et al. Congenital anomalies prevalence in Addis Ababa and the Amhara region, Ethiopia: a descriptive cross-sectional study. BMC Pediatr 2019;19:234. 10.1186/s12887-019-1596-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Taye M, Afework M, Fantaye W, et al. Factors associated with congenital anomalies in Addis Ababa and the Amhara region, Ethiopia: a case-control study. BMC Pediatr 2018;18:142. 10.1186/s12887-018-1096-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Berhane A, Fikadu T, Belachew T. Dietary practice among cohort pregnant women who gave birth to neonates with and without neural tube defect: a comparative cross-sectional study. J Nutr Sci 2022;11:e24. 10.1017/jns.2022.20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Berhane A, Belachew T. Trend and burden of neural tube defects among cohort of pregnant women in Ethiopia: where are we in the prevention and what is the way forward? PLoS One 2022;17:e0264005. 10.1371/journal.pone.0264005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Mohamed FA, Dheresa M, Raru TB, et al. Determinants of neural tube defects among newborns in public referral hospitals in Eastern Ethiopia. BMC Nutr 2023;9:93. 10.1186/s40795-023-00752-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Belama N, Desalew A, Lami M, et al. Determinants of congenital anomalies in neonates admitted to public hospitals in Eastern Ethiopia: a case-control study. In Review [Preprint] 2023. 10.21203/rs.3.rs-2525387/v1 [DOI] [PMC free article] [PubMed]
- 66.Getnet A, Figa Z, Gido R, et al. Determinants of neural tube defect among newborns admitted to neonatal intensive care units of teaching hospitals in Gedeo zone and Sidama region, Southern Ethiopia; a case control study. In Review [Preprint] 2023. 10.21203/rs.3.rs-2815625/v1 [DOI] [PMC free article] [PubMed]
- 67.Legesse A, Zawidneh D, Gorfu Y. Assessment of prevalence, types and associated risk factors of neural tube defects in pregnant women visiting health centers in Addis Ababa. 2019 [Google Scholar]
- 68.Aynalem Tesfay F, Bulte Aga F, Sebsibie Teshome G. Determinants of neural tube defect among children at Zewditu Memorial hospital, Addis Ababa, Ethiopia a case control study. Int J Afr Nurs Sci 2021;15:100318. 10.1016/j.ijans.2021.100318 [DOI] [Google Scholar]
- 69.Gedefaw A, Teklu S, Tadesse BT. Magnitude of neural tube defects and associated risk factors at three teaching hospitals in Addis Ababa, Ethiopia. Biomed Res Int 2018;2018:4829023. 10.1155/2018/4829023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Sorri G, Mesfin E. Patterns of neural tube defects at two teaching hospitals in Addis Ababa, Ethiopia a three years retrospective study. Ethiop Med J 2015;53:119–26. [PubMed] [Google Scholar]
- 71.Tirsit A, Zewdneh D, Yigeremu M, et al. Prevalence of neural tube defects among pregnant women in Addis Ababa: a community-based study using Prenatal ultrasound examination. Childs Nerv Syst 2023;39:2423–31. 10.1007/s00381-023-05901-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Mekonnen D, Worku W. Congenital anomalies among newborn babies in Felege-Hiwot comprehensive specialized referral hospital, Bahir Dar, Ethiopia. Sci Rep 2021;11:11027. 10.1038/s41598-021-90387-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Abebe MS, Seyoum G, Emamu B, et al. Congenital hydrocephalus and associated risk factors: an institution-based case–control study, Dessie town, North East Ethiopia. Pediatric Health Med Ther 2022;13:175–82. 10.2147/PHMT.S364447 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Tsehay B, Shitie D, Lake A, et al. Determinants and Seasonality of major structural birth defects among newborns delivered at primary and referral hospital of East and West Gojjam zones, Northwest Ethiopia 2017-2018: case-control study. BMC Res Notes 2019;12:495. 10.1186/s13104-019-4541-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Yoseph G. Determinants of Neural Tube Defect in Neonates at Tibebe Ghion Specialized Hospital. Bahirdar, Ethiopia: Bahirdar university, [Google Scholar]
- 76.Tadesse AW, Kassa AM, Aychiluhm SB. Determinants of neural tube defects among newborns in Amhara region, Ethiopia: a case-control study. Int J Pediatr 2020;2020:5635267. 10.1155/2020/5635267 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Mulu GB, Atinafu BT, Tarekegn FN, et al. Factors associated with neural tube defects among newborns delivered at Debre Berhan specialized hospital. Front Pediatr 2021;9:795637. 10.3389/fped.2021.795637 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Mulu A, Bezabh S, Kindie Z, et al. Maternal risk factors associated with neural tube defect at Debre Berhan referral hospital, North Shewa, Ethiopia. A hospital based case control study. In Review [Preprint] 2023. 10.21203/rs.3.rs-1822236/v1 [DOI]
- 79.Kindie Z, Mulu A. Prevalence of neural tube defects at Debre Berhan referral hospital, North Shewa, Ethiopia. A hospital based retrospective cross-section study. PLoS One 2022;17:e0261177. 10.1371/journal.pone.0261177 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Seyoum G, Adane F. Prevalence and associated factors of birth defects among newborns at referral hospitals in Northwest Ethiopia. Ethiop J Health Dev 2018;32. 10.4314/EJHD.V32I3 [DOI] [Google Scholar]
- 81.Meiraf D. Prevalence and associated risk factors of congenital malformations among newborns delivered at selected Healthcare units in Bahir Dar and Gondar cities, Ethiopia (Doctoral Dissertation). n.d. Available: http://ir.bdu.edu.et/handle/123456789/11987
- 82.Abdu H, Seyoum G. Prevalence and outcomes of birth defects in newborns of South Wollo and Oromia zones of Amhara regional state: a retrospective study. Ethiop J Health Dev 2019;33. 10.4314/EJHD.V33I3 [DOI] [Google Scholar]
- 83.Gashaw A, Shine S, Yimer O, et al. Risk factors associated to neural tube defects among mothers who gave birth in North Shoa zone hospitals, Amhara region, Ethiopia 2020: case control study. PLoS ONE 2021;16:e0250719. 10.1371/journal.pone.0250719 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Abebe M, Afework M, Emamu B, et al. Risk factors of Anencephaly: a case–control study in Dessie town, North East Ethiopia. Pediatric Health Med Ther 2021;12:499–506. 10.2147/PHMT.S332561 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Edris Y, Abdurahman H, Desalew A, et al. Neural tube defects and associated factors among neonates admitted to the neonatal intensive care units in Hiwot Fana specialized University hospital, Harar, Ethiopia. Glob Pediatr Health 2020;7:2333794X20974218. 10.1177/2333794X20974218 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Gedamu S, Sendo EG, Daba W. Congenital anomalies and associated factors among newborns in Bishoftu general hospital, Oromia, Ethiopia: a retrospective study. J Environ Public Health 2021;2021:2426891. 10.1155/2021/2426891 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Birhanu K, Tesfaye W, Berhane M. Congenital anomalies in neonates admitted to a tertiary hospital in Southwest Ethiopia: a cross sectional study. Ethiop J Health Sci 2021;31:1155–62. 10.4314/ejhs.v31i6.10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Mekonnen AG, Hordofa AG, Kitila TT, et al. Modifiable risk factors of congenital malformations in bale zone hospitals, Southeast Ethiopia: an unmatched case-control study. BMC Pregnancy Childbirth 2020;20:129. 10.1186/s12884-020-2827-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Atlaw D, Worku A, Taye M, et al. Neural tube defect and associated factors in bale zone hospitals, Southeast Ethiopia. J Pregnancy Child Health 2019;6:412. 10.4172/2376-127X.1000412 [DOI] [Google Scholar]
- 90.Jemal S, Fentahun E, Oumer M, et al. Predictors of congenital anomalies among newborns in Arsi zone public hospitals, Southeast Ethiopia: a case-control study. Ital J Pediatr 2021;47:143. 10.1186/s13052-021-01093-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Geneti SA, Dimsu GG, Sori DA, et al. Prevalence and patterns of birth defects among newborns in southwestern Ethiopia: a retrospective study. Pan Afr Med J 2021;40:248. 10.11604/pamj.2021.40.248.25286 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Getachew B, Alemayehu T, Abebe S, et al. Prevalence of overt congenital anomalies and associated factors among newborns delivered at Jimma University medical center, Southwest Ethiopia, 2018: a cross-sectional study. Int J Afr Nurs Sci 2023;18:100513. 10.1016/j.ijans.2022.100513 [DOI] [Google Scholar]
- 93.Abebe S, Gebru G, Amenu D, et al. Risk factors associated with congenital anomalies among newborns in southwestern Ethiopia: a case-control study. PLoS One 2021;16:e0245915. 10.1371/journal.pone.0245915 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Kidane M, Sime Y, Gashaw A, et al. Neural tube defects among new Borns: a cross-sectional study. Front Pediatr 2023;11:1191556. 10.3389/fped.2023.1191556 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Tegene D, Mannekulih E. Factors associated with neural tube defects among women who gave birth at Adama hospital medical college, Adama, Ethiopia: a case control study. Ethiop J Health Sci 2023;33. 10.4314/ejhs.v33i2.6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Mekonen HK, Berhe Y, Berihu BA, et al. A silent epidemic of major congenital malformations in Tigray, northern Ethiopia: hospital-based study. Sci Rep 2021;11:21035. 10.1038/s41598-021-00240-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Mekonen HK, Nigatu B, Lamers WH. Birth weight by gestational age and congenital malformations in northern Ethiopia. BMC Pregnancy Childbirth 2015;15:76. 10.1186/s12884-015-0507-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Berihu BA, Welderufael AL, Berhe Y, et al. High burden of neural tube defects in Tigray, northern Ethiopia: hospital-based study. PLoS One 2018;13:e0206212. 10.1371/journal.pone.0206212 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Berihu BA, Welderufael AL, Berhe Y, et al. Maternal risk factors associated with neural tube defects in Tigray regional state of Ethiopia. Brain Dev 2019;41:11–8. 10.1016/j.braindev.2018.07.013 [DOI] [PubMed] [Google Scholar]
- 100.Welderufael AL, Berihu BA, Berhe Y, et al. Nutritional status among women whose pregnancy outcome was afflicted with neural tube defects in Tigray region of Ethiopia. Brain Dev 2019;41:406–12. 10.1016/j.braindev.2018.12.005 [DOI] [PubMed] [Google Scholar]
- 101.Ayano G, Ayalew M, Bedaso A, et al. Epidemiology of Khat (Catha Edulis) chewing in Ethiopia: a systematic review and meta-analysis. J Psychoactive Drugs 2022;12:1–10. 10.1080/02791072.2022.2155735 [DOI] [PubMed] [Google Scholar]
- 102.Oumer M, Tazebew A, Silamsaw M. Birth prevalence of neural tube defects and associated risk factors in Africa: a systematic review and meta-analysis. BMC Pediatr 2021;21:190. 10.1186/s12887-021-02653-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Adane F, Afework M, Seyoum G, et al. Prevalence and associated factors of birth defects among newborns in sub-Saharan African countries: a systematic review and meta-analysis. Pan Afr Med J 2020;36:19. 10.11604/pamj.2020.36.19.19411 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Williams J, Mai CT, Mulinare J, et al. Updated estimates of neural tube defects prevented by mandatory folic acid Fortification - United States, 1995-2011. MMWR Morb Mortal Wkly Rep 2015;64:1–5. [PMC free article] [PubMed] [Google Scholar]
- 105.Morris JK, Rankin J, Draper ES, et al. Prevention of neural tube defects in the UK: a missed opportunity. Arch Dis Child 2016;101:604–7. 10.1136/archdischild-2015-309226 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Wakoya R, Afework M. Burden of neural tube defects and their associated factors in Africa: a systematic review and meta-analysis. Int J Pediatr 2023;2023:9635827. 10.1155/2023/9635827 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Fite MB, Tura AK, Yadeta TA, et al. Co-occurrence of iron, folate, and vitamin A deficiency among pregnant women in Eastern Ethiopia: a community-based study. BMC Nutr 2023;9:72. 10.1186/s40795-023-00724-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Gebremichael B, Roba HS, Getachew A, et al. Folate deficiency among women of reproductive age in Ethiopia: a systematic review and meta-analysis. PLoS One 2023;18:e0285281. 10.1371/journal.pone.0285281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Sisay BG, Tamirat H, Sandalinas F, et al. Folate deficiency is spatially dependent and associated with local farming systems among women in Ethiopia. Current Developments in Nutrition 2022;6:zac088. 10.1093/cdn/nzac088 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Haidar J, Melaku U, Pobocik RS. Folate deficiency in women of reproductive age in nine administrative regions of Ethiopia: an emerging public health problem. South Afr J Clin Nutr 2010;23:132–7. 10.1080/16070658.2010.11734327 [DOI] [Google Scholar]
- 111.Gesesew H, Berhane K, Siraj ES, et al. The impact of war on the health system of the Tigray region in Ethiopia: an assessment. BMJ Glob Health 2021;6:e007328. 10.1136/bmjgh-2021-007328 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Gesesew H, Kebede H, Berhe K, et al. Perilous medicine in Tigray: a systematic review. Confl Health 2023;17:26. 10.1186/s13031-023-00524-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Salazar-Reviakina A, Sierra-Bretón M, Rumbo J, et al. Characterization of risk factors for neural tube defects: a case-control study in Bogota and CALI, Colombia, 2001-2018. J Child Neurol 2021;36:509–16. 10.1177/0883073820981514 [DOI] [PubMed] [Google Scholar]
- 114.Kurdi AM, Majeed-Saidan MA, Al Rakaf MS, 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:e026351. 10.1136/bmjopen-2018-026351 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Estifanos D, Adgoy ET, Sereke D. The prevalence, trend, and associated demographic factors of neural tube defects at Orotta national referral maternity hospital, Asmara: retrospective record review study. SJPH 2017;5:452. 10.11648/j.sjph.20170506.17 [DOI] [Google Scholar]
- 116.Santos LMP, Lecca RCR, Cortez-Escalante JJ, et al. Prevention of neural tube defects by the fortification of flour with folic acid: a population-based retrospective study in Brazil. Bull World Health Organ 2016;94:22–9. 10.2471/BLT.14.151365 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Laharwal MA, Sarmast AH, Ramzan AU, et al. Epidemiology of the neural tube defects in Kashmir valley. Surg Neurol Int 2016;7:35. 10.4103/2152-7806.180088 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Teshome F, Kebede Y, Girma K, et al. A survey on women's awareness of iron and folic acid intake during Preconception period and its associated factors in manna district, Oromia region, Southwest Ethiopia. Nurs Open 2022;9:950–8. 10.1002/nop2.1041 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Goshu YA, Liyeh TM, Ayele AS, et al. Women's awareness and associated factors on Preconception folic acid supplementation in Adet, Northwestern Ethiopia, 2016: implication of reproductive health. J Nutr Metab 2018;2018:4936080. 10.1155/2018/4936080 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Fekadu M, Ketema K, Mamo Y, et al. Peri-conception folic acid supplementation knowledge and associated factors among women visiting maternal and child health clinics in Addis Ababa, Ethiopia. Heliyon 2022;8:e11114. 10.1016/j.heliyon.2022.e11114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Mengiste FG, Shibeshi MS, Gechera DY. Neural tube defect in a resource limited setting: clinical profile and short term outcome. Pediatric Health Med Ther 2023;14:289–99. 10.2147/PHMT.S421868 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Assefa Y, Gelaw YA, Hill PS, et al. Community health extension program of Ethiopia, 2003-2018: successes and challenges toward universal coverage for primary Healthcare services. Global Health 2019;15:24. 10.1186/s12992-019-0470-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Central Statistical Authority/Ethiopia and ORC Macro . Ethiopia Demographic and Health Survey 2000. Addis Ababa, Ethiopia: Central Statistical Authority/Ethiopia and ORC Macro, 2001. [Google Scholar]
- 124.Alemayehu YK, Medhin G, Teklu AM. National assessment of the health extension program in Ethiopia: study protocol and key outputs. Ethiop J Health Sci 2023;33. 10.4314/ejhs.v33i1.2S [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Hailu GA, Weret ZS, Adasho ZA, et al. Quality of antenatal care and associated factors in public health centers in Addis Ababa, Ethiopia, a cross-sectional study. PLoS One 2022;17:e0269710. 10.1371/journal.pone.0269710 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Negash WD, Fetene SM, Shewarega ES, et al. Multilevel analysis of quality of antenatal care and associated factors among pregnant women in Ethiopia: a community based cross-sectional study. BMJ Open 2022;12:e063426. 10.1136/bmjopen-2022-063426 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Liu S, Evans J, MacFarlane AJ, et al. Association of maternal risk factors with the recent rise of neural tube defects in Canada. Paediatric Perinatal Epid 2019;33:145–53. 10.1111/ppe.12543 [DOI] [PubMed] [Google Scholar]
- 128.Bellizzi S, Ali MM, Abalos E, et al. Are hypertensive disorders in pregnancy associated with congenital malformations in offspring? evidence from the WHO multicountry cross sectional survey on maternal and newborn health. BMC Pregnancy Childbirth 2016;16:198. 10.1186/s12884-016-0987-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Ramya S, Shyamasundar S, Bay BH, et al. Maternal diabetes alters expression of micrornas that regulate genes critical for neural tube development. Front Mol Neurosci 2017;10:237. 10.3389/fnmol.2017.00237 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Li D-K, Yang C, Andrade S, et al. Maternal exposure to angiotensin converting enzyme inhibitors in the first trimester and risk of malformations in offspring: a retrospective cohort study. BMJ 2011;343(oct18 1):d5931. 10.1136/bmj.d5931 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Zou W, Xie S, Liang C, et al. Medication use during pregnancy and birth defects in Hunan province, China, during 2016–2019: a cross-sectional study. Medicine (Baltimore) 2022;101:e30907. 10.1097/MD.0000000000030907 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Wondemagegn AT, Seyoum G. A multicenter study on practices and related factors of traditional medicinal plant use during pregnancy among women receiving antenatal care in East Gojjam zone, Northwest Ethiopia. Front Public Health 2023;11:1035915. 10.3389/fpubh.2023.1035915 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Adane F, Seyoum G, Alamneh YM, et al. Herbal medicine use and predictors among pregnant women attending antenatal care in Ethiopia: a systematic review and meta-analysis. BMC Pregnancy Childbirth 2020:157. 10.1186/s12884-020-2856-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Ahmed SM, Sundby J, Aragaw YA, et al. Medicinal plants used among pregnant women in a tertiary teaching hospital in Jimma, Ethiopia: a cross-sectional study. BMJ Open 2021;11:e046495. 10.1136/bmjopen-2020-046495 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Demeke H, Hasen G, Sosengo T, et al. Evaluation of policy governing herbal medicines regulation and its implementation in Ethiopia. J Multidiscip Healthc 2022;15:1383–94. 10.2147/JMDH.S366166 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Alemu Anteneh T, Aklilu Solomon A, Tagele Tamiru A, et al. Knowledge and attitude of women towards Herbal medicine usage during pregnancy and associated factors among mothers who gave birth in the last twelve months in Dega Damot district, Northwest Ethiopia. Drug Healthc Patient Saf 2022;14:37–49. 10.2147/DHPS.S355773 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Yin S, Sun Y, Yu J, et al. Prenatal exposure to Organochlorine pesticides is associated with increased risk for neural tube defects. Sci Total Environ 2021;770:145284. 10.1016/j.scitotenv.2021.145284 [DOI] [PubMed] [Google Scholar]
- 138.Krajewski AK, Rappazzo KM, Langlois PH, et al. Associations between cumulative environmental quality and ten selected birth defects in Texas. Birth Defects Res 2021;113:161–72. 10.1002/bdr2.1788 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Herrero-Mercado M, Waliszewski SM, Caba M, et al. Organochlorine pesticide gradient levels among maternal Adipose tissue, maternal blood serum and umbilical blood serum. Bull Environ Contam Toxicol 2011;86:289–93. 10.1007/s00128-011-0204-4 [DOI] [PubMed] [Google Scholar]
- 140.Negatu B, Dugassa S, Mekonnen Y. Environmental and health risks of pesticide use in Ethiopia. J Health Pollut 2021;11:210601. 10.5696/2156-9614-11.30.210601 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Dirbaba NB, Li S, Wu H, et al. Organochlorine pesticides, polybrominated diphenyl ethers and polychlorinated biphenyls in surficial sediments of the awash river Basin, Ethiopia. PLoS ONE 2018;13:e0205026. 10.1371/journal.pone.0205026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Negatu B, Kromhout H, Mekonnen Y, et al. Use of chemical pesticides in Ethiopia: a cross-sectional comparative study on knowledge, attitude and practice of farmers and farm workers in three farming systems. Ann Occup Hyg 2016;60:551–66. 10.1093/annhyg/mew004 [DOI] [PubMed] [Google Scholar]
- 143.Dadi D, Stellmacher T, Senbeta F, et al. Environmental and health impacts of effluents from textile industries in Ethiopia: the case of Gelan and Dukem, Oromia regional state. Environ Monit Assess 2017;189:11. 10.1007/s10661-016-5694-4 [DOI] [PubMed] [Google Scholar]
- 144.Mekuria DM, Kassegne AB, Asfaw SL. Assessing pollution profiles along little Akaki river receiving municipal and industrial Wastewaters, central Ethiopia: implications for environmental and public health safety. Heliyon 2021;7:e07526. 10.1016/j.heliyon.2021.e07526 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Alebachew F, Azage M, Kassie GG, et al. Pesticide use safety practices and associated factors among farmers in Fogera district Wetland areas, South Gondar zone, Northwest Ethiopia. PLoS ONE 2023;18:e0280185. 10.1371/journal.pone.0280185 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Tessema RA, Nagy K, Ádám B. Occupational and environmental pesticide exposure and associated health risks among pesticide applicators and non-applicator residents in rural Ethiopia. Front Public Health 2022;10:1017189. 10.3389/fpubh.2022.1017189 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Mojo D, Zemedu L. Pesticide use practices and effects on crop yield, human health and the environment in selected areas of Ethiopia. Ethiop J Agric Sci 2022;32:17–36. [Google Scholar]
- 148.Haile T, Gure A, Kedir K, et al. Determination of Organochlorine and organophosphorus pesticide residues in tomato, potato, and pineapple samples of selected farmlands in Southwest Ethiopia. Bull Chem Soc Eth 2023;37:23–33. 10.4314/bcse.v37i1.3 [DOI] [Google Scholar]
- 149.Loha KM, Klous G, Lamoree M, et al. Pesticide use and practice of local farmers in the central rift valley (CRV) of Ethiopia: implications for the environment and health hazards. Int J Pest Manag 2022;13:1–14. 10.1080/09670874.2022.2135180 [DOI] [Google Scholar]
- 150.Omer I M. Pattern and risk factors of neural tube defects, Khartoumsudan. GJIDD 2021;7:555716. 10.19080/GJIDD.2021.07.555716 [DOI] [Google Scholar]
- 151.Detrait ER, George TM, Etchevers HC, et al. Human neural tube defects: developmental biology, epidemiology, and genetics. Neurotoxicol Teratol 2005;27:515–24. 10.1016/j.ntt.2004.12.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Suarez L, Ramadhani T, Felkner M, et al. Maternal smoking, passive tobacco smoke, and neural tube defects. Birth Defects Res A Clin Mol Teratol 2011;91:29–33. 10.1002/bdra.20743 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Luo L, Diao J, Li J, et al. Association of paternal smoking with the risk of neural tube defects in offspring: a systematic review and meta-analysis of observational studies. Birth Defects Res 2021;113:883–93. 10.1002/bdr2.1823 [DOI] [PubMed] [Google Scholar]
- 154.Suarez L, Felkner M, Brender JD, et al. Maternal exposures to cigarette smoke, alcohol, and street drugs and neural tube defect occurrence in offspring. Matern Child Health J 2008;12:394–401. 10.1007/s10995-007-0251-y [DOI] [PubMed] [Google Scholar]
- 155.Zhou FC, Zhao Q, Liu Y, et al. Alteration of gene expression by alcohol exposure at early neurulation. BMC Genomics 2011;12:1–7. 10.1186/1471-2164-12-124 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Yin C, Cai H, Yang D, et al. Cigarette smoke induced neural tube defects by down-regulating Noggin expression. Birth Defects Res 2021;113:5–13. 10.1002/bdr2.1804 [DOI] [PubMed] [Google Scholar]
- 157.Hutson JR, Stade B, Lehotay DC, et al. Folic acid transport to the human fetus is decreased in pregnancies with chronic alcohol exposure. PLoS ONE 2012;7:e38057. 10.1371/journal.pone.0038057 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Belete S, Asres K, Bekuretsion Y, et al. Toxic effect of Khat in rat embryos and fetuses. Biomed Res Int 2021;2021:9933389. 10.1155/2021/9933389 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Atnafie SA, Muluneh NY, Getahun KA, et al. Pesticide residue analysis of Khat leaves and health risks among Khat Chewers in the Amhara region, Northwestern Ethiopia. J Environ Public Health 2021;2021:4680573. 10.1155/2021/4680573 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Mekonen S, Ambelu A, Negassa B, et al. Exposure to DDT and its metabolites from Khat (Catha Edulis) chewing: consumers risk assessment from Southwestern Ethiopia. Regul Toxicol Pharmacol 2017;87:64–70. 10.1016/j.yrtph.2017.05.008 [DOI] [PubMed] [Google Scholar]
- 161.Yitayih Y, Vanderplasschen W, Vandewalle S, et al. The effects of Khat use during pregnancy on perinatal and maternal outcomes: a meta-analysis. Arch Womens Ment Health 2023;26:11–27. 10.1007/s00737-023-01293-5 [DOI] [PubMed] [Google Scholar]
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Supplementary Materials
bmjopen-2023-077685supp002.pdf (52.4KB, pdf)
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Data Availability Statement
All data relevant to the study are included in the article or uploaded as online supplemental information.

