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  • Research article
  • Open Access
  • Open Peer Review

Factors associated with congenital anomalies in Addis Ababa and the Amhara Region, Ethiopia: a case-control study

  • 1Email author,
  • 2,
  • 3,
  • 4 and
  • 5
BMC Pediatrics201818:142

https://doi.org/10.1186/s12887-018-1096-9

  • Received: 7 September 2016
  • Accepted: 20 March 2018
  • Published:
Open Peer Review reports

Abstract

Background

The early stage of embryo development is extremely vulnerable to various teratogenic factors, leading to congenital anomalies. In Ethiopia, a significant number of babies are born with congenital anomalies, but the risk factors for the anomalies have never been studied. Understanding the specific risk factors for congenital anomalies is very essential to provide health education that aims at creating awareness and establishing preventive strategic plan/s. The main objective of this study was to assess the risk factors associated with congenital anomalies in Addis Ababa and the Amhara Region, Ethiopia.

Methods

A case-control study was conducted from January 1- June 30, 2015. The participants were recruited at the purposively selected hospitals in Addis Ababa and the Amhara Region. A total of 207 cases and 207 controls were included in the study. Cases were neonates, infants, and children 0-11 months of age with external and internal major congenital anomalies diagnosed by pediatricians. Controls were neonates, infants, and children 0-11 months of age without external and internal anomalies. Data on sociodemographic characteristics, exposure to risk factors, and reproductive history were collected by face to face interviews with children’s mothers/caregivers using a structured questionnaire. Binary logistic regression was employed to explore risk factors associated with the occurrence of the problems.

Results

About 87.4% of the children were below 6 months, and 12.6% were between 6 and 11 months. The majority (59.9%) of the children were male, with the M: F sex ratio of 1.49. The mean age of the mothers was 26 years (16-45 years). Unidentified medication use during early pregnancy (AOR = 4.595; 95% CI: 1.868-11.301, P-value = 0.001), maternal alcohol drinking (AOR = 2.394; 95% CI: 1.212-4.726, P-value = 0.012), and exposure to chemicals (AOR = 9.964; 95% CI = 1.238-80.193, P-value = 0.031) were significantly associated with the occurrence of congenital anomalies. Iron folate use (AOR = 0.051; 95% CI: 0.010-0.260, P-value = < 0.001) before and during early pregnancy had a protective effect on congenital anomaly.

Conclusion

Unidentified medication use, alcohol drinking during early pregnancy, and exposure to chemicals had a significant association with the occurrence of congenital anomalies, whereas iron folate use before and during early pregnancy had a protective effect from congenital anomalies.

Keywords

  • Congenital anomaly
  • Case-control
  • Teratogen
  • Risk/Associated factors

Background

The early stages of embryo development are a critical period which may mark vulnerability to disruption by teratogenic agents that lead to congenital anomaly [13]. Congenital anomaly (CA) is defined as a structural or functional defect that may be detected during pregnancy or be visible at birth or later in life. CAs are the major cause of new born/infant morbidity, mortality, and disability in addition to adding to the burden of the health care system [4]. It is estimated that about 20–30% of infant deaths occur due to CAs [5]; severe CAs occur in 3% of live [6, 7], and 20% of still births [8], and 7.9 million children are born with serious CAs, accounting for 6% of all births globally [9].

According to literature, genetic and environmental factors play a major role in causing CAs during the first trimester [10]. Approximately, 7.6 million children are born with CAs worldwide due to genetic factors [11]. Although there is a better understanding of the etiology of CA in the literature, the causes of most of the CAs are still unknown. However, they are believed to be caused by several etiologic factors [12, 13].

The occurrence of certain risk factors, such as maternal chronic diseases, like diabetes, family history, and viral infections during early pregnancy increase the risk of having a baby with CAs [1417]. Furthermore, risk factors linked to the occurrence of CAs include unidentified medication/illicit/prescribed drug/s use, alcohol consumption, smoking cigarettes, exposure to radiation, chemical agents, parental age, parental occupation, nutritional deficiencies, and chromosomal mutations as well as socio-economic factors [7, 14, 15, 1820]. Hence, exposure to all of these factors can influence the organogenesis processes of the embryo [7, 12].

Moreover, some studies showed that maternal use of folic acid and multivitamins containing folic acid around conception and the first 3 months of pregnancy have a protective effect against certain types of CAs [21, 22].

In general, the prevalence of CAs varies with race, ethnicity, and geographical regions across the world [7, 11, 16, 23, 24]. In Ethiopia, a significant number of babies are born with CAs, but the causes of these CAs have never been studied. In fact, whether the causes are environmental or genetic factors or interactions between environmental and genetic factors are not known. In addition, there are no preventive strategic plans to reduce or control the occurrence of these problems. It is obvious that children born with major CA are prone to die or even if they survive, they may confront a long-term morbidity and disability and may also undergo repeated surgical interventions. Evidence based information about specific risk factors for CAs are very essential to provide health education to communities, especially to females in the reproductive age. This could not only help to create awareness so as to reduce the occurrence of anomalies but also assists policy makers/responsible bodies to develop preventive strategic plans.

The main objective of this study was to assess the risk factors for CAs in Addis Ababa and the Amhara Region. The results are believed to provide information for public health actions and to create awareness about CAs and their etiologic factors. They may also be used as baseline for further investigations.

Methods

Study sites

The study was carried out in Addis Ababa and the Amhara region, Ethiopia.

Addis Ababa, the capital of Ethiopia, has 10 sub-cities with an estimated total population of 3,273,001(47.4% male, 52.6% female). The population of Addis is diverse by ethnicity. The majority of the people are Christians, followed by Muslims and some followers of other religions [25]. The city is subject to population increase through continuous migrations [25]. All of the hospitals in the city provide inpatient, outpatient, and delivery services, except Cure Ethiopia International Children’s Hospital, which does not provide delivery services.

The Amhara Region, the second largest northwest region of the country has a population of 20,399,004 (50.1% male, 49.9% female). The majority of the people live in rural areas and the minority in large and small towns. Most of the Amhara people are Christians, with a good number of Muslims and some followers of other faiths [25]. All of the hospitals in the regional state provide various inpatient and outpatient services including delivery.

Selection of study hospitals

Five public hospitals in Addis Ababa and three in the Amhara Region were purposively selected for this study on the basis of case load. All of the hospitals are referral with high patient flow and various specialized departments or units, which provide various services to neonates, infants, children, and adults.

Study design and sample size

A case-control design was used to investigate exposure status to risk factors for CAs in the case and control children.

A sample of 414 children (207 cases, 207 controls) was recruited for this study. The sample size was calculated by using a ratio of 1:1, power of 90%, a 5% significance level and 38.81% of likelihood of an event in controls (i.e. exposure in controls) [17], and assuming the Odds ratio to be 2. The study children were matched by age. Cases were neonates, infants, and children 0-11 months of age with external and internal major CAs. Major CAs are defined as anomalies that have partial or complete organ/organ system absence/defects, resulting in functional, health, and cosmetic effects, which require surgical repair and rehabilitations [4]. The cases were selected from live births at the study hospitals, neonate units and under five clinics. The type of CAs were classified as major by using WHO/CDC/ICBDSR manual 2014 [4]. Based on WHO/CDC/ICBDSR classification method, the cases with neural tube, orofacial region, musculoskeletal system and genitourinary system defects and less than 12 months of age were purposively selected and included in the study. Children aged 12 months and above and had major and minor CA were excluded. All cases had isolated CAs except one child who had multiple anomalies. The diagnoses of the cases were confirmed through physical examinations and echocardiography (i.e. for cases with heart defects) by pediatricians. The cases were selected purposively. The controls were neonates, infants, and children 0-11 months of age without external and internal CAs. The controls were randomly selected in the same hospitals where children with CAs were identified. All children aged 0-11 months constituted the source population.

Data collection method

The data were collected by a face to face interview of the children’s mothers/caregivers by using a structured questionnaire and checklists. The questionnaire prepared in English and translated to Amharic was pretested at other hospitals and amended according to the results. Data were collected on residence, sociodemographic characteristics, reproductive/pregnancy history and adverse outcomes, family history of CAs, socio-economic status, parental ethnicity, parental occupation, maternal educational level, maternal nutritional status/history, parental exposures to risk factors and/or teratogenic agents, such as radiation, chemicals, pesticides, etc. for CAs, maternal illness/disease, medication/illicit drug use, substance abuse (alcohol consumption, smoking), blood relationships among parents, antenatal care visits, folic acid and multivitamin use, and birth order of children. The data were gathered at delivery rooms/wards, neonatal units, and under five clinics. Prior to data collection, data collectors (nurses, midwifes) were trained for 2 days. The data were collected from January 1- June 30, 2015.

Data management and analysis

Data were checked on daily basis by collectors and further overseen by the principal investigator and supervisors for completeness and correctness during collection periods. It was also rechecked during data entry. The data were coded and entered into Epi-Info version 3.5.1 and then transferred to SPSS version 21 for analysis. Data cleaning, error checking, and analysis were conducted by using SPSS version 21. Data were calculated by using frequency, cross tabulation, and binary logistic regression. Significance level was considered at less than 0.05 p-value. Crude Odds ratio and confidence level were calculated. After the crude Odds ratios were identified, adjusted Odds ratios were computed to assess risk factors associated with the occurrence of CAs by using backward stepwise logistic regression. Exposure variables with P-value ≤0.2 in the crude Odds ratio were entered into the multivariable logistic regression model to observe their relationships and CAs (i.e. to observe associated variables with CAs in the adjusted Odds ratio). The characteristics of cases and controls were explained in percentages and numbers. The crude and adjusted Odds ratios, confidence intervals, p-values and the overall findings are presented in the result section in the form of texts and tables.

Ethical clearance

Ethical clearance was obtained from Addis Ababa University, College of Health Sciences Institutional Review Board, the National Research Ethics Review Committee, Addis Ababa City Administration Health Bureau Ethical Clearance Committee, and the Amhara National Regional State Health Bureau Regional Health Research Laboratory Center. Supportive letters were written to all zonal health departments and study hospitals by the health bureaus. Ethical and supportive letters were submitted to all hospital administrators. The purpose of the study was explained to the participant children’s mothers/caregivers. Data collection began after permissions were obtained from hospital managers/medical directors and after a written consent was obtained from children’s mothers/caretakers. Data collected from the participants were kept in secured and locked cabinets in order to maintain confidentiality.

Results

Socio-demographic characteristics of the study participants

The sample consisted of 414 (207 cases, 207 controls) children. The age of children ranged from 1 day to 11 months. About 87.4% of the children were below 6 months and 12.6% between 6 and 11 months. The majority (59.9%) of the children were male and 40.1% female with a sex ratio of 1.49, respectively. The mean age of the children’s mothers was 26 years (range 16-45). Among the participants, 63.3% were urban and 36.7% rural dwellers. In terms of income, 47.8% had middle and 37.2% low economic status as stated by the mothers/respondents. The majority (93.5%) of the children’s mothers were married; about 37.4% had no formal education; 31.9% had primary education, and 30.7% secondary and higher level of education. By religious affiliation, 72.2, 27.3, and 0.5% of the parents were Christian, Muslim, and others, respectively. Among the mothers, 53% were housewives, 17.9% government, private, or self-employed, 14.3% farmers, and 14% jobless. Similarly, 49.3, 38.9, and 11.8% of the children’s fathers were employees, farmers, and jobless, respectively. The major (62.1%) ethnic group in this study were Amhara, 23.2% Oromo, 5.6% Guragie, 3.6% Tigre, and 3.6% Seltie. The other socio-demographic characteristics of the participants are shown in Table 1.
Table 1

The socio-demographic characteristics of the study participants, Addis Ababa and the Amhara Region, Ethiopia, 2016

Characteristics

Cases (n = 207)

Controls (n = 207)

Total (n = 414)

Frequency

%

Frequency

%

Frequency

%

Study Site

Addis Ababa

106

51.2

107

51.7

213

51.4

Amhara Region

101

48.8

100

48.3

201

48.6

Infant/Child Age

Below 6 months

181

87.4

181

87.4

362

87.4

6-11 months

26

12.6

26

12.6

52

12.6

Infant/Child Sex

Male

123

59.4

125

60.4

248

59.9

Female

84

40.6

82

39.6

166

40.1

Child Mother Age

< 20 years

11

5.3

11

5.3

22

5.3

20-34 years

167

80.7

169

81.6

336

81.2

> 34 years

29

14.0

27

13.0

56

13.5

Child Mother Marital status

Married

190

91.8

197

95.2

387

93.5

Never married

17

8.2

10

4.8

27

6.5

Religion

Christian

139

67.1

160

77.3

299

72.2

Muslim

66

31.9

47

22.7

113

27.3

Other

2

1.0

0

0

2

0.5

Child Mother Education

No education

101

48.8

54

26.1

155

37.4

Primary

59

28.5

73

35.3

132

31.9

Secondary and higher

47

22.7

80

38.6

127

30.7

Monthly income

Regular

84

40.6

74

35.7

158

38.2

Irregular

123

59.4

133

64.3

256

61.8

Child Mother Ethnicity

Oromo

63

30.4

33

15.9

96

23.2

Amhara

122

58.9

135

65.2

257

62.1

Guragie

7

3.4

17

8.2

24

5.8

Othersa

15

7.3

22

10.6

37

8.7

Child Mother Occupation

House wife

122

58.9

101

48.8

223

53.9

Employed

28

13.5

46

22.2

74

17.9

Farmer/Agriculture

32

15.5

27

13.0

59

14.3

No job/unemployed

25

12.1

33

15.9

58

14.0

Residence

Urban

97

46.9

165

79.7

262

63.3

Rural

110

53.1

42

20.3

152

36.7

Economic Status

Low

89

43.0

65

31.4

154

37.2

Middle

100

48.3

98

47.3

198

47.8

higher

18

8.7

44

21.3

62

15.0

Child Father Ethnicity

Oromo

63

30.4

33

15.9

96

23.2

Amhara

116

56

133

64.3

249

60.1

Guragie

8

3.9

15

7.2

23

5.6

Othersa

20

9.6

26

12.6

46

10.9

Child Father Occupation

Employed

72

34.8

132

63.8

204

49.3

Farmer/Agriculture

107

51.7

54

26.1

161

38.9

No job/unemployed

28

13.5

21

10.1

49

11.8

Region originated

Amhara

106

51.2

101

48.8

207

50.0

Oromia

45

21.7

18

8.7

63

15.2

Addis Ababa

35

16.9

80

38.6

115

27.8

Other regions b

21

10.3

8

3.9

29

7.0

aOthers = Tigre, Somali, Afar, Seltie, Benishangul, Agew, Gamo, Hadya, Argob

bOther regions = Southern Nations Nationalities and People, Tigray, Afar, Benishangul-Gumuz, Harari, Dire Dawa

About 12 (5.8%) and 13 (6.3%) of mothers whose children had and had no CAs, respectively, were in the 15-19 years of age group. Besides, 49 (23%) and 68 (32.9%) of mothers whose children were exposed and not exposed to CAs, respectively, were 20-24 years of age. Similarly, 69 (33.3%) and 68 (32.9%) of the mothers who had children with and without CAs, respectively, were in the 25–29 years of age group, whereas 49 (23.7%) and 31 (15%) mothers who had and free children, respectively, were in the 30–34 years of age group. Likewise, 28 (13.5%) and 27 (13%) of the mothers who had affected and non-affected children, respectively, were 35–39 years of age.

About 99.5% of the CAs identified were isolated/single, while 1 (0.5%) was multiple. The frequency of CAs by organ/organ system is shown in Table 2.
Table 2

Frequency of congenital anomalies by organ/organ system among the study subjects, Addis Ababa and the Amhara Region, Ethiopia, 2016

Type of Congenital Anomalies

frequency

%

Neural Tube Defects (Spina bifida with and without hydrocephaly, clubfoot; encephalocele (occipital, frontal, and nasal))

124

30

Orofacial Clefts (cleft lip, cleft lip and palate, and cleft palate)

54

13

Masculoskeletal Defects (reduction defects of tibia, femur, ulna, and radial bones, talipes equinovarus, tracheoesophageal fistula, gastroschisis, and amelia of upper limb)

20

4.8

Heart Defects (ventricular septal defects)

5

1.2

Genitourinary Anomalies (hypospadias with sub-coronal and penile)

3

0.7

Bladder extrusion with cleft lip and palate

1

0.2

No Congenital Anomalies/Controls

207

50

Total

414

100

Reproductive, obstetric, and offspring background/history

As far as the birth order of children was concerned, 32.9, 19.8, and 47.3% were first, second, third and above (3+) children to their families, respectively. Among the controls, about 48.3, 22.7, and 29% were first, second, third and above (3+) children, respectively, to their parents. About 16.4% of mothers whose children had CAs and 9.2% of the mothers who had children without CAs, had no antenatal care (ANC) visits. The total number of pregnancy history, preterm, miscarriage, stillbirth, gravidity, gestational age at first ANC, number of live births, and neonate/infant/child deaths are presented in Table 3.
Table 3

Reproductive history of the study participants/children’s mothers, Addis Ababa and the Amhara Region, Ethiopia, 2016

Characteristics

Cases

Controls

Total

(n = 207)

%

(n = 207)

%

(n = 414)

%

Birth order

First

68

32.9

100

48.3

168

40.6

Second

41

19.8

47

22.7

88

21.3

Third and above

98

47.3

60

29.0

158

38.2

Total number of pregnancy

1

67

32.4

100

48.3

167

40.3

2-3

69

33.3

70

33.8

139

33.6

4 and above

71

34.3

37

17.9

108

26.1

Full and post term pregnancy

Post term

12

5.8

5

2.4

17

4.1

1-2

124

59.9

165

79.7

289

69.8

3 and above

71

34.3

37

17.9

108

26.1

Preterm

None

158

76.3

178

86.0

336

81.2

1

47

22.7

26

12.6

73

17.6

2 and above

2

1.0

3

1.4

5

1.2

Elective termination

None

184

88.9

199

96.1

383

92.5

1-2

23

11.1

8

3.9

31

7.5

Miscarriage

None

131

63.3

174

84.1

305

73.7

1-2

76

36.7

31

15.0

107

25.8

3 and above

0

0

2

1.0

2

0.5

Still birth

None

164

79.23

190

91.8

354

85.5

1-2

42

20.29

17

8.2

59

14.3

3 and above

1

0.5

0

0

1

0.2

Neonate/Infant/child death

None

178

86.0

189

91.3

367

88.9

1-2

29

14.0

17

8.2

46

11.1

3 and above

0

0

1

0.5

1

0.2

Living children

None

7

3.4

0

0

7

1.7

1-2

129

62.3

169

81.6

298

72.0

3 and above

71

34.3

38

18.4

109

26.3

Gravidity

Primigravida

70

33.8

100

48.3

170

41.1

Multigravida

137

66.2

107

51.7

244

58.9

Gestational age at 1st ANC (antenatal care) visit

No ANC visit

34

16.4

19

9.2

53

12.8

1-3 months

27

13.0

29

14.0

56

13.5

4 months and above

146

70.5

159

76.8

305

73.7

Institution for ANC attended

Public hospital

27

13.0

23

11.1

50

12.1

Public health center

130

62.8

147

71.0

277

66.9

Private hospital

6

2.9

4

1.9

10

2.4

Private clinic

7

3.4

13

6.3

20

4.8

Health post

3

1.4

1

0.5

4

1.0

No ANC visit

34

16.4

19

9.2

53

12.8

Risk factors associated with congenital anomalies

There were maternal/medical illnesses (i.e. infections or chronic diseases such as diseases with fever, chronic disorders) in 24 (11.6%) of the mothers who had children with CAs and 13 (6.3%) of mothers whose children were not affected with CAs. Passive smokers were observed in 37 (17.9%) and 28 (13.5%) of mothers who had children with and without CAs, respectively. Among the participants, unidentified medication use in early pregnancy by mothers whose children had and had no CAs were 16.9 and 3.9%, respectively. Contraceptive (both pill and injection) use around conception was 11.6% in the mothers who had children with CAs and 2.4% in the mothers who had no children with CAs. In addition, anemia was observed in 55 (26.6%) of the affected children’s mothers and 37 (17.9%) of mothers whose children had no CAs (Table 4).
Table 4

Participant’s response on risk factors for congenital anomaly: Results from multivariable analysis-adjusted for substance abuse/behavioral, parental, and environmental factors, maternal illness, iron folate/folic acid, multivitamin, and vegetable use variables, Addis Ababa and the Amhara Region, Ethiopia, 2016

Characteristics

Cases

Controls

COR

AOR

95% CI

P-value

lower

upper

Number

%

Number

%

Iron folate/folic acid use

Yes

2

1

22

10.6

0.082

0.051

0.010

0.260

< 0.001

No

205

99

185

89.4

1Ref

    

Unidentified medication use

Yes

35

16.9

8

3.9

5.062

4.595

1.868

11.301

0.001

No

172

83.1

199

96.1

1

    

Drank alcohol (daily, occasionally and 1-3times in a week)

Yes

49

23.7

18

8.7

3.256

2.394

1.212

4.726

0.012

No

158

76.3

189

91.3

1

    

Exp. to chemical (mother)

Yes

13

6.3

1

0.5

13.804

9.964

1.238

80.193

0.031

No

194

93.7

206

99.5

1

    

Contraceptive use

Yes

24

11.6

5

2.4

5.298

4.840

1.647

14.224

0.004

No

183

88.4

202

97.6

1

    

Blood relationship between child parents

Yes

10

4.8

2

1

5.203

6.234

0.959

40.521

0.055

No

197

95.2

205

99

1

    

Family history

Yes

9

4.3

3

1.4

3.091

3.397

0.862

13.393

0.081

No

198

95

204

98.6

1

    

Vegetable Serving

Yes

139

67.1

164

79.2

0.536

0.644

0.392

1.059

0.083

No

68

32.9

43

20.8

1

    

Maternal illness

Yes

24

11.6

13

6.3

1.957

2.025

0.903

4.54

0.087

No

183

88.4

194

93.7

1

    

Exp. to radiation before conception (child father)

Yes

7

3.4

2

1

3.587

6.838

0.741

63.109

0.090

No

200

96.6

205

99

1

    

Exp exposure, COR crude odds ratio, AOR adjusted odds ratio, CI confidence interval, Ref reference

Blood relationships among parents were reported in 4.8% of children’s the exposed mothers and 1.0% of not exposed children’s mothers. Family history of CA as seen in the children was also reported in 4.3% of the affected children’s parents and 1.4% of the parents whose children had no CAs. Exposure to chemicals among mothers who had children with and without CAs was 6.3 and 0.5%, respectively. On the other hand, two (0.97%) of mothers whose children had CAs used fertility enhancing drugs. Again, one (0.5%) of the affected child mother had diabetes during pregnancy. On the contrary, mothers who had children without CAs reported no use of fertility enhancing drugs around conception and had no diabetes during and before pregnancy. In addition, none of the affected children’s mothers took multivitamins before they got pregnant, while one (0.5%) of the mother who had child without CA used multivitamin before pregnancy. Moreover, about 25 (12.1%) of mothers whose children had CAs and 17 (8.2%) of the mothers who had children without CAs, had no food shortage before and during pregnancy (Table 4). However, the above-mentioned factors were not statistically significant in the multivariable analysis, the adjusted Odds Ratio. In addition, maternal age, parental ethnicity, mothers educational level, parental occupation (Table 1) and parity, birth order, preterm, still birth, and miscarriage (Table 3) were not statistically significant in the crude and adjusted Odds Ratio analysis.

Thirteen variables were entered into the COR analysis. Of these, unidentified medication used during the first 3 months of gestation (COR = 5.062; 95% CI: 2.286-11.206, P-value = < 0.001), alcohol consumption during early/throughout pregnancy (COR = 3.256; 95% CI: 1.823-5.816, P-value = < 0.001), anemia during early pregnancy (COR = 1.663; 95% CI: 1.038-2.662, p-value = 0.034), contraceptive use around conception (COR = 5.298; 95% CI: 1.980- 14.175, P-value = 0.001), and chemical exposure during early pregnancy (COR = 13.804; 95% CI; 1.789-106.522, P-value = 0.012), and blood relation among parents (COR = 5.203; 95% CI:1.126-24.046, P-value = 0.035) were associated with CAs in the crude Odds ratio analysis. On the other hand, folic acid/iron folate (COR = 0.082; 95% CI: 0.019-.354, P-value = 0.001) and vegetable servings/use during early pregnancy (COR = 0.536; 95% CI: 0.344-0.835, P-value = 0.006) was protective against the occurrence of CAs (Table 4). However, vegetable serving was not associated with the occurrence of CAs in the adjusted Odds ratio analysis.

Twelve variables (alcohol drinking, anemia, iron folate/folic acid, unidentified medication, contraceptive, exposure to chemicals, vegetable serving, blood relationship between child parents, exposure to radiation, maternal illness, family history, and food shortage during early pregnancy) whose value ended up with 0.2 and below in the crude Odds ratio were entered into the multivariable logistic regression model to observe exposure variables associated with CAs. As indicated in Table 4, unidentified medication use (AOR = 4.595; 95% CI: 1868-11.301, P-value = 0.001), maternal alcohol drinking in early pregnancy (AOR = 2.394; 95% CI: 1.212-4.726, P-value = 0.012), and exposure to chemicals during early pregnancy (AOR = 9.964; 95% CI: 1.238-80.193, P-value = 0.031) were significantly associated with the occurrence of CAs. On the contrary, iron folate/folic acid supplementation (use) before and during early pregnancy (AOR = 0.051; 95% CI: 0.010-0.260, P-value = < 0.001) had a protective effect against CA.

Discussion

According to our findings, unidentified medication use, alcohol consumption during early pregnancy or throughout pregnancy, and exposure to chemicals during early pregnancy had significant associations with the occurrence of CAs in this study, whereas iron folate supplementation before and during early pregnancy showed a protective effect against CA.

Like our study, scientific literature reports that drug usage during pregnancy is associated with CAs [2631]. In Ethiopia, drugs are being sold by private drug venders, stores, clinics, and some shops with and without prescriptions. This indicates that mothers are likely to use medications/over-the counter drugs during their early pregnancy. Therefore, responsible bodies should control over-the-counter.

The association of alcohol drinking during and before early pregnancy and CA was also reported by Grewal et al., [32], Zhang et al., [33], and O’Leary et al., [34, 35]. In the liver, alcohol is metabolized into acetaldehyde, a toxic chemical/substance. To convert this toxic substance into a non-toxic and usable chemical, enzyme acetaldehyde dehydrogenases that secreted converts the acetaldehyde into acetic acid, which is useable by the body. However, when the unconverted acetaldehyde accumulates in the body, it causes irritation of the cells and tissues and then damages the cells and tissues, leading to metabolism and cellular growth abnormalities [36]. Moreover, alcohol is capable of crossing the placenta membrane and being carried to all developing cells and tissues of the embryo and fetus, and as a result causes damages to the developing tissues and cells and subsequently leads to a structural abnormality. Furthermore, alcohol drinking during pregnancy results in a serious consequences which manifest with recognized characteristics of physical and mental abnormal features after a baby is born [3644].

In Ethiopia, alcohol is consumed by the community [45, 46], particularly locally made alcoholic beverages known as “areki” and “tella” in Amharic are consumed by both men and women in rural communities, especially among Christians, more specifically Orthodox Christians, across the country, whereas some urban dwellers, including women drink beer and other alcoholic drinks. In this study, women who consumed alcohol daily and women who took alcohol to an increasing degree had children with CAs. Therefore, health education is essential for the community, particularly women in the 15-49 years of age group.

In the present study, exposure to chemicals had a significant association with CAs. Likewise, exposure to chemicals has been reported as having a significant association with the occurrence of CAs [4751].

In this study, mothers of cases who reported maternal/medical illnesses during early pregnancy had higher odds of babies with CAs compared to mothers of controls. Similarly, maternal diseases or medical illnesses, such as syphilis, Rubella, measles, other viral infections, [5256] and chronic diseases were reported by several researchers as known causes of CAs [14, 18, 5259].

Many studies reported that iron folate/folic acid supplementation in the early pregnancy and before protected or reduced the occurrence of certain CAs. For example, neural defects can be reduced if a pregnant woman appropriately takes the recommended dose of iron folate/folic acid. Women who take iron folate/folic acid are less likely to have babies with CA compared to those who do not take folic acid during and before early pregnancy [14, 6068]. Folic acid together with vitamin B12 plays a vital role in the synthesis of nucleic acid, lipids, and proteins, required for cell division. Iron folate/folic acid also has a role in amino acids metabolisms that are needed for DNA and RNA synthesis and plays an important role as an antioxidant agent. Therefore, it is essential to make it available to all pregnant women.

Various studies suggested that multivitamin or folic acid containing multivitamin use during/ before pregnancy reduces/protects against some CAs [60, 6568]. Multivitamins are essential organic substances, which are required by the body for normal body metabolic functions, body building, and controlling chemical reactions, such as converting food substances into energy and living tissues, as well as for survival or living healthy. Some components of multivitamins act as antioxidant substances (i.e. protect cells from damage by free radicals), for example, vitamin “E” and “C”. Moreover, some components of multivitamins are also important for body defense mechanisms, for instance, zinc, vitamin “C”, and vitamin “A” protect the body from diseases.

As observed in this study, in Ethiopia, health care providers might not have been providing folic acid or multivitamin containing folic acid supplementation to pregnant women until recent times. However, recently the Federal Ministry of Health recommended iron folate supplementation to all pregnant women although most such women have not been provided still. Moreover, research on folic acid supplementation and knowledge of women about folic acid use during pregnancy is limited in Ethiopia.

In this study, maternal age, ethnicity, sex of child, maternal education, and parity were not significantly associated with the occurrence of CAs. This finding is in agreement with that of a study conducted in Saudi Arabia by Salih et al., [18]. However, previous studies have shown a linkage to maternal age, (greater than 35) [14, 69], maternal education, and parity with the occurrence of CA [69].

In the present study, cigarette smoking and passive smoking were not associated with CAs although several researchers reported that smoking/passive smoking was associated with a specific types of CAs [32, 7073]. In some societies, women in the reproductive age group smoke cigarettes. This may be due to cultural and personal habits. In addition, exposure to radiation had no statistically significant link in this study. Moreover, blood relationship, family history, and the Odds of having children with CA had no statistically significant associations in this study. To the contrary, other studies reported that a significant association occurred between blood relationship/family history and CA [18, 7375]. This variation might be due to differences in the cultures of consanguinity marriage and genetic makeup. In addition, there were no associations between birth order, preterm, miscarriage, and CAs in the present study.

In general, the present study indicates that the characteristics of cases and controls are closer, except for a few variations, like maternal alcohol drinking and maternal illness. In addition, our findings are in line with some previous reports and at variance with others. The reason they are different from the reports of some studies may be differences in socio-demographic, geographic, study setting, methodological, and environmental characteristics.

Conclusion

The findings of this study showed that alcohol drinking, unidentified medication use, and exposure to chemicals had significant associations with the occurrence of CAs. Iron folate use before and during pregnancy indicated a protective effect on CAs. However, current iron folate and multivitamin supplementation to pregnant women has been inadequate and infrequent because only very few women are observed using them during pregnancy, while the majority of women in the reproductive age groups are not getting prior to conception and during early pregnancy. Therefore, we emphasize that the supplementation is required to reproductive age groups, particularly around conception and during early pregnancy.

Although the causes of CAs are unknown and not studied in Ethiopia, screening nutritional deficiencies, chronic diseases, such as anemia, diabetics, infections/diseases (i.e. viral infections and sexually transmitted diseases) and establishing preventive measures, for example, health education to the public, specifically to reproductive age women are very important. So, to understand and identify the risk factors for CAs, it is necessary to conduct further population based investigations in different parts of the country to further ascertain the presently observed risk factors in association with CAs, as well as fully explore factors, which are not associated with CAs.

Abbreviations

ANC: 

Antenatal care

CA: 

Congenital anomaly

CAs: 

Congenital anomalies

WHO/CDC/ICBDSR: 

World Health Organization/Centers for Disease Control and Prevention/International clearinghouse for Birth Defects Surveillance and Research

Declarations

Acknowledgements

We would like to thank midwives, nurses, and other health professionals working at Tikur Anbesa General Specialized Hospital, Zewditu Memorial Hospital, Gandhi Memorial Hospital, St. Paul Specialized Millennium Hospital, Yekatit 12 Hospital, Desse Referral Hospital, Felege Hiwet Referral Hospital, and Gondar University Hospital for their support. We would like to appreciate and acknowledge the participants. We wish to thank the medical directors and managers of the respective hospitals for their support and permission. We would also like to thank all those who assisted us in one way or another during data collection. Lastly, we would like to acknowledge Addis Ababa University and the University of Gondar for their special support.

Funding

This study obtained fund from Addis Ababa University and the University of Gondar for data collection only. The authors declare that they have not received funds for the publication of this manuscript. The authors also declare that they have had no external source of grant/fund for both data collection and publication.

Availability of data and materials

The dataset supporting the conclusion of this study are available within the manuscript.

Authors’ contributions

Conceived the idea: MT. Designed the methodology: MT, MA, WF, ED, AW. Conducted the study: MT, MA, WF, ED, AW. Interpreted data: MT, MA, WF, ED, AW. Data analysis: MT, AW. Wrote draft manuscript: MT. Wrote the final manuscript: MT, AW. Review and edit the manuscript: MT, MA, WF, ED, AW. All authors read and approved the final manuscript and agreed for submission: MT, MA, WF, ED, AW.

Ethics approval and consent to participate

The study was reviewed and approved by the College of Health Sciences Institutional Review Board, Addis Ababa University, Ref. No. 060/14, dated June 12, 2014; the National Research Ethics Review Committee, Ref. No. 3.10/781/07, dated October 16, 2014; HARI-ALERT Ethical Review Committee, Project Reg. No. PO58/14, dated December 23, 2014; Addis Ababa City Administration Health Bureau Ethical Clearance Committee, Ref. No. A/A/H/B/1972/25, dated 27/10/2014; and the Amhara National Regional State Health bureau Regional Health Research Laboratory Center Ref. No. /20/4963, dated 27/01/2007(Ethiopian Calendar). Data were collected after verbal and written agreements to participate were secured from children’s mothers/caregivers.

Consent for publication

Not applicable.

Competing interests

We declared that we have no financial and nonfinancial competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Anatomy, School of Medicine, College of Medicine and Health Sciences, the University of Gondar, Gondar, Ethiopia
(2)
Department of Anatomy, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
(3)
School of Dentistry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
(4)
School of Medicine, College of Medicine and Health Sciences, the University of Gondar, Gondar, Ethiopia
(5)
School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia

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