Abstract
Statement of the Problem:
Non-syndromic cleft lip and palate are the most frequent craniofacial abnormalities in humans. The genetic, environmental and behavioral factors involved in this malformation must be clarified in different parts of the globe in the view of implementing preventive measures.
Purpose:
To analyze the influence of parental exposure to risk factors on the occurrence of oral clefts.
Materials and Method:
A case-control study was conducted with 150 mothers of oral cleft children paired by the children’s gender to 300 mothers of children without congenital anomalies from Mato Grosso, Brazil, for the study of the variables: gender and race/color of the children; parental educational level; age; number of pregnancies; prenatal care; obesity; stress; diabetes; hypertension; use of medications, alcohol and illicit drugs; smoking and exposure to ionizing radiation during the first trimester of pregnancy. The results were analyzed in relation to the chances possibility of each variable for the occurrence of oral cleft through the bivariate and multivariate analysis by applying the model of logistic regression.
Results:
Passive smoking, obesity, exposure to ionizing radiation and use of antibiotics were associated with the presence of clefts. The use of folic acid and analgesics were identified as preventive factors. The father's low educational level was found as a risk factor, while the black race/color was a preventive factor; nevertheless these variables were not associated in the multivariate analysis.
Conclusion:
The results reinforce the need to follow up the pregnant women, especially in the first trimester of pregnancy, in order to control the identified risk factors. Considering the factors associated with occurrence of oral clefts and those associated with its prevention, it is possible to apply specific health promotion measures during pregnancy, which can result in the reduction of oral clefts’ occurrence.
Keywords: Case-Control Studies, Cleft Lip, Cleft Palate, Risk Factors
Introduction
Non-syndromic cleft lip and palate are the most frequent craniofacial abnormalities in humans [ 1 ]. Its occurrence is highly variable according to gender, race, geographical location, environmental exposures and socioeconomic condition [ 1 - 3 ]. Its prevalence worldwide is approximately of 1.2/1000 live births [ 1 ] and in Brazil it varies from 0.19 to 1.54/1000 live births [ 3 ], leading to an estimated incidence of approximately 4,000 new cases per year, representing a significant public health issue [ 4 ]. Maternal exposure to risk factors in the first trimester of pregnancy has been associated with the occurrence of orofacial clefts because of the interference caused in the fusion of the craniofacial processes that form the primary and secondary palates, involving the lip, alveolar process, hard palate and soft palate, between the fourth and the twelfth week of pregnancy. As between the 6th and the 8th week of gestation the fusion of the upper lip is completed and between the 8th and 12th week the hard and soft palate’s fusion are completed, interferences in this period may lead to cleft lip, cleft palate and cleft lip and palate [ 5 ]. Aesthetic and functional problems caused by oral clefts require long-term treatment. They represent a higher risk of morbidity; difficulty in feeding, changes in speech and hearing affect the social interaction of the individual and cause psychological and financial impact in their families [ 1 - 5 ].
Studies aiming to understand the interaction between genetic, environmental and behavioral factors involved in this malformation in early pregnancy have been made in the view of implementing preventive measures [ 3 - 4 ]. Among the environmental and behavioral factors associated some relevant ones are smoking [ 5 - 7 ], alcohol consumption [ 5 , 8 - 9 ], birth order, birth interval [ 10 ], folic acid deficiency [ 11 - 12 ], parental age [ 8 , 11 - 12 ], race/color of skin [ 13 - 15 ], diabetes, hypertension [ 16 - 18 ], use of medications [ 8 , 19 ] and exposure to ionizing radiation [ 20 - 21 ]. It is possible to intervene in these factors with health promotion measures particularly during pregnancy, which can result in reduction of oral clefts’ occurrence.
This study aims to analyze the influence of parental exposure to risk factors on the occurrence of oral clefts; a priority for the advancement of research on the field [ 4 ].
Materials and Method
A case-control study was conducted with genitors of the State of Mato Grosso, Mid-West Brazil. A total of 878 medical records of patients undergoing treatment at the Oral Clefts Rehabilitation Service of the General Hospital of the University of Cuiabá were analyzed for the composition of the case group. Among them, the mothers of children were selected according to the following inclusion criteria: presenting non-syndromic isolated cleft lip and/or palate; being under six years old, and the pregnancy period occurred in the State of Mato Grosso. From the 200 progenitors of children who met the inclusion criteria, 150 attended the hospital on the dates scheduled to participate in the study. The control group, in the proportion of two controls for each case, was paired according to the gender of the children in the case group, totalizing 300 genitors in the group. The genitors from the control group were enrolled in the University General Hospital (n= 138) and Santa Helena Hospital (n= 212). Both institutions constitute the State Hospital Reference System for the High Risk Pregnancy Assistance in Cuiabá. The inclusion criterion was the woman be mother of a newborn without malformations detected at birth and the exclusion criterion was the woman had spent the pregnancy period outside Mato Grosso. Therefore, the entire study population consisted of 450 genitors.
A structured questionnaire was used for data collection. It had questions about the child, the parents and maternal exposure to risk factors in the first trimester of pregnancy. The questionnaire was administered to the genitors of the study group from March 2012 to September 2014. The data collection from the control group occurred from May to September 2014. Before using the questionnaires, formal consent was obtained from the executive board of both hospitals; Ethics in Research Committee approval (processes 003/ 2012 and 560,994/2014) were received and all participants signed the Informed Consent Term.
Study variables
Presence of cleft lip and palate was the dependent variable. Independent variables related to the child were gender, age, race/color of skin (according to the classification of the Brazilian Institute of Geography and Statistics) [ 22 ] and order of pregnancy. Independent variables related to parents were age and education level. Independent variables related to maternal exposure in the first trimester of pregnancy were occurrence of diabetes, hypertension, infection, obesity, use of medication (vitamin supplement, folic acid, analgesic, antibiotic, anti-inflammatory, corticosteroids, anticonvulsants and benzodiazepines), alcohol consumption, (active/ passive) smoking, illicit drug use, and exposure to ionizing radiation.
Processing and data analysis
Data processing was carried out in an Excel spreadsheet and the statistical analyzes were performed with the Statistical Package for the Social Sciences (SPSS) version 17.0, MINITAB version 15.0 and STATA version 13.0. Tables presenting absolute and relative frequencies were used for the descriptive data analysis. In the inferential analysis, measures of association between dependent and independent variables were determined using Chi-square and Fisher's exact tests and Likelihood Ratio with a 0.05 significance level.
The crude odds ratio (OR) with their respective intervals of confidence of 95% (CI 95%) and the association between variables were also obtained, and those with p< 0.20 were considered for the construction of the multivariate logistic regression model, remaining in the final model the variables with significance level inferior than 0.05 (p< 0.05).
Results
Regarding the socio-demographic data of the study population (n= 450), the predominance of male children (64.67%, n= 292), of white race/color of skin (43.56%, n = 196) was observed. A total of 63.78% (n= 287) of mothers aged from 20 to 34 years and 82.89% (n= 373) of fathers aged from 20 to 39 years. The level of education of 10 to 12 years of study prevailed in 63.11% (n= 284) of mothers and 50.67% (n= 228) of fathers. As for the data related to pregnancy, prenatal, occurrence of diseases, use of medication and social habits in the first trimester of pregnancy, it turns out that 97.78% (n= 440) of women received prenatal care and 40.22% (n= 181) were in first pregnancy. Only 2.44% (n=11) of mothers had diabetes, 7.33% (n=33) hypertension, 33.55% (n=151) infection, predominantly urinary and vaginal; 41.78% (n=188) psychological stress and 8.67% (n=39) were overweight at the beginning of pregnancy. Among medications use, the most frequently ones were folic acid (71.33%, n=321), vitamins (50.67%, n=228), analgesics (46.44%, n=209), antibiotics (25.33%, n=114) and anti-inflammatory (4.67%, n=21). Seventy- four women (16.22%) reported alcohol consumption, 1.56% (n=7) illicit drug use, 21.78% (n= 98) active or passive smoking and 2.44% (n=11) contact with ionizing radiation.
Tables 1 and 2 show the bivariate analysis of data, observing association (p< 0.05) between the following variables and the occurrence of oral clefts: Native-American race/color of skin (p<0.001RV), father education level ≤9 years (p=0.007), exposure to ionizing radiation (=0.008EF), passive smoking (p=0.010) and obesity (p=0.013). Being of black race/color of skin (p=0.006) and the use of analgesic (p<0.001) and folic acid (p<0.001) were associated with lower risk of occurrence of oral clefts.
Table 1.
Association between sociodemographic variables and the occurrence of oral clefts.
| Variable | Categories | Cases | Controls | OR | CI | p Value | ||
|---|---|---|---|---|---|---|---|---|
| n | % | n | % | (95%) | (χ2) | |||
| Child gender | Male | 97 | 33.33 | 194 | 66.67 | 1.00 | (0.66 ; 1.51) | 1.000 |
| Female | 53 | 33.33 | 106 | 66.67 | 1.00 | - | - | |
| Child race/color | Native-American | 5 | 100 | 0 | 0.00 | - | - | 0.001 |
| Black | 24 | 20.17 | 95 | 79.83 | 0.48 | (0.28 ; 0.81) | 0.006 | |
| Brown | 53 | 40.77 | 77 | 59.23 | 1.30 | (0.82 ; 2.05) | 0.266 | |
| Father’s age at pregnancy | ≤ 19 years | 14 | 41.18 | 20 | 58.82 | 1.41 | (0.69 ; 2.88) | 0.350 |
| 20 a 39 years | 124 | 33.24 | 249 | 66.76 | 1.00 | - | - | |
| ≥ 40 years | 12 | 27.91 | 31 | 72.09 | 0.78 | (0.39 ; 1.57) | 0.480 | |
| Mother’s age at pregnancy | ≤ 19 years | 46 | 35.11 | 85 | 64.89 | 1.11 | (0.72 ; 1.72) | 0.635 |
| 20 a 34 years | 94 | 32.75 | 193 | 67.25 | 1.00 | - | - | |
| ≥ 35 years | 10 | 31.25 | 22 | 68.75 | 0.93 | (0.42 ; 2.05) | 0.863 | |
| Father’s education level | ≤ 9 years | 58 | 42.34 | 79 | 57.66 | 1.84 | (1.18 ; 2.87) | 0.007 |
| 10 a 12 years | 65 | 28.51 | 163 | 71.49 | 1.00 | - | - | |
| > 12 years | 19 | 39.58 | 29 | 60.42 | 1.64 | (0.86 ; 3.14) | 0.130 | |
| Not informed | 8 | 21.62 | 29 | 78.38 | 0.69 | (0.30 ; 1.59) | 0.384 | |
| Mother’s education level | ≤9 years | 45 | 38.79 | 71 | 61.21 | 1.41 | (0.90 ; 2.21) | 0.133 |
| 10 a 12 years | 88 | 30.99 | 196 | 69.01 | 1.00 | - | - | |
| > 12 years | 17 | 34.00 | 33 | 66.00 | 1.15 | (0.61 ; 2.17) | 0.672 | |
OR: Odds Ratio; CI: confidence interval; p Value: Chi-square test.
Table 2.
Association between pregnancy, prenatal, illnesses and life style variables and the occurrence of oral clefts
| Variable | Categories | Cases | Controls | OR | CI | p Value | ||
|---|---|---|---|---|---|---|---|---|
| n | % | n | % | (95%) | (χ2) | |||
| Order of pregnancy | First | 62 | 34.25 | 119 | 65.75 | 0.99 | (0.62 ; 1.58) | 0.955 |
| Second | 47 | 34.56 | 89 | 65.44 | 1.00 | - | - | |
| Third | 22 | 29.33 | 53 | 70.67 | 0.79 | (0.43 ; 1.45) | 0.439 | |
| Fourth | 9 | 23.08 | 30 | 76.92 | 0.57 | (0.25 ; 1.30) | 0.175 | |
| Fifth or posterior | 10 | 52.63 | 9 | 14.29 | 2.10 | (0.80 ; 5.54) | 0.126 | |
| Prenatal | Yes | 144 | 32.73 | 296 | 67.27 | 1.00 | - | - |
| No | 6 | 60.00 | 4 | 40.00 | 3.08 | (0.86 ; 11.10) | 0.091 | |
| Diabetes | Yes | 5 | 45.45 | 6 | 54.55 | 1.69 | (0.51 ; 5.63) | 0.518EF |
| No | 145 | 33.03 | 294 | 66.97 | 1.00 | - | - | |
| Hypertension | Yes | 16 | 48.48 | 17 | 51.51 | 1.99 | (0.97 ; 4.06) | 0.055 |
| No | 134 | 32.13 | 283 | 67.87 | 1.00 | - | - | |
| Infection | Yes | 56 | 37.09 | 95 | 62.91 | 1.29 | (0.85 ; 1.94) | 0.230 |
| No | 94 | 31.44 | 205 | 68.56 | 1.00 | - | - | |
| Overweight | Grades 1 and 2 | 20 | 51.28 | 19 | 48.72 | 2.28 | (1.17 ; 4.41) | 0.013 |
| No | 130 | 31.63 | 281 | 68.37 | 1.00 | - | - | |
| Stress | Yes | 67 | 35.64 | 121 | 64.36 | 1.19 | (0.80 ; 1.77) | 0.380 |
| No | 83 | 31.68 | 179 | 68.32 | 1.00 | - | - | |
| Use of folic acid | Yes | 78 | 24.30 | 243 | 75.70 | 1.00 | - | - |
| No | 72 | 55.81 | 57 | 44.19 | 3.94 | (2.56 ; 6.06) | <0.001 | |
| Use of vitamins | Yes | 82 | 35.96 | 146 | 64.04 | 1.00 | - | - |
| No | 68 | 30.63 | 154 | 69.37 | 0.79 | (0.53 ; 1.17) | 0.230 | |
| Use of analgesics | Yes | 47 | 22.49 | 162 | 77.51 | 0.39 | (0.26 ; 0.59) | <0.001 |
| No | 103 | 42.74 | 138 | 57.26 | 1.00 | - | - | |
| Use of antibiotics | Yes | 46 | 40.35 | 68 | 59.65 | 1.51 | (0.97 ; 2.34) | 0.066 |
| No | 104 | 30.95 | 232 | 69.05 | 1.00 | - | - | |
| Use of anti-inflamatory | Yes | 7 | 33.33 | 14 | 66.67 | 1.00 | (0.40 ; 2.53) | 1.000 |
| No | 143 | 33.33 | 286 | 66.67 | 1.00 | - | - | |
| Use of corticosteroids | Yes | 1 | 25.00 | 3 | 3 | 0.66 | (0.07 ; 6.44) | 1.000EF |
| No | 149 | 33.41 | 297 | 297 | 1.00 | - | - | |
| Use of anticonvulsivants | Yes | 4 | 66.67 | 2 | 2 | 4.08 | (0.74 ; 22.54) | 0.099EF |
| No | 146 | 32.88 | 298 | 298 | 1.00 | - | - | |
| Use of benzodiazepínes | Yes | 4 | 66.67 | 2 | 33.33 | 4.08 | (0.74 ; 22.54) | 0.099EF |
| No | 146 | 32.88 | 298 | 67.12 | 1.00 | - | - | |
| Alcohol consumption | Yes | 24 | 32.88 | 49 | 67.12 | 0.98 | (0.57 ; 1.66) | 0.928 |
| No | 126 | 33.42 | 251 | 66.58 | 1.00 | - | - | |
| Frequency of alcohol consumption | 1-7 times per week | 23 | 37.10 | 39 | 62.90 | 1.18 | (0.67 ; 2.05) | 0.571 |
| 1-2 times per month | 1 | 9.09 | 10 | 90.91 | 0.20 | (0.03 ; 1.57) | 0.111EF | |
| 0 times per month | 126 | 33.42 | 251 | 66.58 | 1.00 | - | - | |
| Number of alcohol doses | ≥ 5 | 7 | 43.75 | 9 | 56.25 | 1.55 | (0.56 ; 4.26) | 0.392 |
| 1--4 | 17 | 29.82 | 40 | 70.18 | 0.85 | (0.46 ; 1.55) | 0.590 | |
| None | 126 | 33.42 | 251 | 66.58 | 1.00 | - | - | |
| Ilicit drug use | Yes | 2 | 28.57 | 5 | 71.43 | 0.80 | (0.15 ;4.16) | 1.000EF |
| No | 148 | 33.41 | 295 | 66.59 | 1.00 | - | - | |
| Smoking | Active | 13 | 46.43 | 15 | 53.57 | 2.04 | (0.94 ; 4.43) | 0.068 |
| Passive | 32 | 45.71 | 38 | 54.29 | 1.98 | (1.17 ; 3.34) | 0.010 | |
| No | 105 | 29.83 | 247 | 70.17 | 1.00 | - | - | |
| Number of cigarettes per day | > 21 | 18 | 72.00 | 7 | 28.00 | 6.05 | (2.45 ; 14.91) | <0.001 |
| 11--20 | 12 | 40.00 | 18 | 60.00 | 1.57 | (0.73 ; 3.37) | 0.246 | |
| < 10 | 15 | 34.88 | 28 | 65.12 | 1.26 | (0.65 ; 2.46) | 0.496 | |
| No | 105 | 29.83 | 247 | 70.17 | 1.00 | - | - | |
| X-ray | Yes | 8 | 72.73 | 3 | 27.27 | 5.58 | (1.46 ; 21.34) | 0.008EF |
| No | 142 | 32.35 | 297 | 67.65 | 1.00 | - | - | |
CI: confidence interval; p-value: Chi-square test. FE: Fisher's exact test.
No association was found with the other studied variables. The factors associated with the outcome after analysis on logistic regression multivariate model are presented in Table 3. The variables that remained as a risk factor for the occurrence of oral clefts by maternal exposure in the first trimester of pregnancy were: obesity (p= 0.001), passive smoking (p= 0.010) and exposure to ionizing radiation (p= 0.015).
Table 3.
Final model of logistic regression of the variables associated with oral clefts.
| Variables/Categories | AOR | CI (95%) | p Value |
|---|---|---|---|
| Obesity | |||
| Overweight grades 1 and 2 | 3.41 | (1.61;7.26) | 0.001 |
| No | 1.00 | - | - |
| Use of folic acid | |||
| Yes | 1.00 | - | - |
| No | 4.17 | (2.60;6.68) | <0.001 |
| Use of analgesics | |||
| Yes | 0.35 | (0.22;0.55) | <0.001 |
| No | 1.00 | - | - |
| Use of antibiotics | |||
| Yes | 2.24 | (1.35;3.72) | 0.002 |
| No | 1.00 | - | - |
| Smoking | |||
| Active | 1.53 | (0.61;3.87) | 0.366 |
| Passive | 2.18 | 21 | 0.010 |
| No | 1.00 | - | - |
| X-ray | |||
| Yes | 6.95 | (1.46;33.15) | 0.015 |
| No | 1.00 | - | - |
AOR: adjusted odds ratio. CI (95%): confidence interval of 95%. p Values highlighted in bold are statistically significant (p< 0.05). Logarithm of likelihood value of the model= -246.9055 and p Value of the model <0.001.
The use of antibiotics was associated in the multivariate analysis (p= 0.002). The analgesic use was confirmed as a preventive factor (p< 0.001) as well as folic acid (p< 0.001).
Discussion
Oral clefts are the oral malformations of higher incidence of in the world population [ 1 - 2 ], however the factors associated with its pathogenesis are still not completely defined [ 2 - 3 ]. Therefore, it is vital that new research be conducted with the purpose of helping unravel the etiology of this important public health issue [ 4 ].
Once gene therapy is still not available for the prevention of oral clefts [ 1 , 4 ] this study adhered to the investigation of maternal exposure to risk factors related to its occurrence within the first trimester of pregnancy. The identification of such factors would enable the establishment of preventive measures to prevent or control exposure by pregnant women, especially during the first trimester of pregnancy.
The decision of pairing the mothers of the case and control groups considering the gender of their children but not their age occurred in order to reduce the recall bias of the mothers from the control group. In births, where parents are faced with a very different child rather the idealized one, it naturally begins an internal process of finding a cause to explain the problem to minimize the feeling of guilt, so the pregnancy memories become more vivid. Baby without malformations and close to the idealized one become more difficult to be remembered over time [ 23 ]. Thus, the collection of data from the control group was conducted with the mothers still hospitalized in the postpartum.Among the sociodemographic variables analyzed in the present study, the Native-American race/color was associated with the occurrence of oral clefts (<0.001RV). Although similar results have been reported in studies conducted in other countries [ 13 - 14 ], it is possible that the incidence of congenital anomalies among Native-American be often underestimated due to the existence even nowadays of infanticide of malformed children [ 24 ]. In the present case, the association found may be related to the occurrence of consanguineous marriages, common in native communities [ 24 - 25 ]. However, the presence of Native-American individuals only in the case group should be considered with caution because it may represent an artificial result, not necessarily associated with a higher incidence of oral clefts in this population. While oral cleft natives search for treatment at the state capital referral service, native pregnant women hardly move to the capital to have their children, so that childbirth usually occurs in the own community [ 24 - 25 ] or in health institutions closer to the villages. Thus, the chance of Native-American being included in the control group is naturally less likely than in the case group.
Being of black race/color was considered in this study as a preventive factor to the oral clefts occurrence. Previous studies have observed a greater association between oral clefts and whites followed by brown [ 14 ], or brown followed by white [ 15 ], and a lower prevalence of all types of oral clefts among blacks compared to whites and Asians [ 13 - 14 , 26 ]. While studies have shown a significant relationship between the educational level of the mother and the risk of their occurrence [ 11 , 15 ]; others showed no interference between schooling and the occurrence of oral clefts [ 27 - 28 ].
This study showed an association between low paternal education and the occurrence of oral cleft (p= 0.007), unlike other studies that only analyzed the maternal level of education [ 11 , 27 - 28 ]. Whereas education is directly related to income [ 22 ], low schooling of the father may have hindered the pregnant women access to adequate nutrition, contributing to the occurrence of congenital malformation.
Obesity has been identified as a risk factor for fetal malformations, such as neural tube defects, heart defects and orofacial clefts [ 16 ]. A study in Texas-EUA [ 17 ] found substantially increased risk of birth defects among obese mothers (BMI≥30), including cleft lip with or without cleft palate. Block et al. [ 18 ] found a relation between pregnancy obesity and ten birth defects, including isolated cleft palate. Stott-Miller et al. [ 28 ] also observed increased risk of isolated orofacial clefts among children of obese women.
In this study, the occurrence of cleft lip and palate was associated to obesity (p= 0.013), but not to diabetes (p= 0.518EF) and hypertension (p= 0.055), however the p Value was close to the statistical significance thresh old for the association of cleft lip and palate and the mother’s hypertension. The results showed that the incidence of births of children with oral clefts was strongly associated with non-folic acid supplementation by the mother in the first trimester of pregnancy (p< 0.001), representing an increase of 2.94 to 3.17 in the chance of oral cleft occurrence (3.94-1;4.17-1). The preventive effect of folic acid and vitamin supplements in the occurrence of cleft lip with or without cleft palate is a consensus [ 11 - 12 , 29 ]. In this study, the use of analgesics showed strong preventive association in the occurrence of oral cleft (p< 0.001). That can be attributed to the relaxing effect of the cessation of pain, as described in a previous study [ 30 ], which suggests that the physical and/or emotional stress may be implicated in the occurrence of oral clefts. The longer duration high tension can cause oxidative damage at cellular level by disruption of the hypothalamic-pituitary-adrenal axis leading to high levels of cortisol and cytokine production. This hormonal change leads to a decrease of the blood supply in the muscles, leading to decreased blood flow to the placenta causing a nutritional deficiency that can lead to genetic abnormalities in the fetus [ 30 ]. Studies have shown an association between the use of antibiotics, such as tetracycline, sulfamethoxa zole, trimethoprim, pivmecillinam [ 19 ] and amoxicillin [ 9 ] in early pregnancy and the risk of isolated orofacial clefts. Rocha et al. [ 8 ] found no statistical significance between the teratogenic risk for the use of antibiotics during pregnancy and the presence of fetal malformations. In the multivariate analysis results of this study, the use of antibiotics in early pregnancy was associated with the risk of oral clefts (p= 0.002) and deserves further investigation concerning the type and the prescribed dosage of antibiotic, given that the study was limited to investigating only the use or not use of the medication.
Smoking during pregnancy has often been associated with risk of oral clefts [ 6 , 9 ] regardless of race/color [ 5 ], because of reduced blood exchange between mother and fetus and fetal folate levels [ 9 ]. In this study, passive smoking of pregnant women was associated with the occurrence of oral clefts in their children (p= 0.010), observing even greater association in the group of children whose father smoked more than 21 cigarettes per day during the first trimester of pregnancy (p< 0.001).
The low number of pregnant smokers in this study may be related to the disclosure to the general population and during the prenatal consultations that smoking can induce the occurrence of birth defects. The association found between oral clefts and passive smoking, that is, the smoking habit of the partner, indicates that conducts aimed to reduce this habit from the partner and mother’s close people during pregnancy need to be disclosed as an important preventive measure for birth defects.
Another possibility is that the paternal smoking may exert some influence even before the pregnancy, interfering in the genesis of the male gamete that would end up generating a child with oral cleft [ 7 ]. This possibility to be confirmed requires further studies using different methodologies.
Although it was shown that the fetus is more susceptible to radiation between the second and fifteenth weeks of intrauterine life in a research on the risk of exposure to ionizing radiation resulting from medical procedures, Patel et al. [ 20 ] concluded that there is no acknowledged risk to the development of congenital malformation to fetuses exposed to ionizing radiation at levels typically used for diagnostic imaging. Rakotoarison et al. [ 21 ] pointed out the high doses of ionizing radiation from former uranium mines as a possible explanation for the high cleft prevalence in the Vakinankaratra region in Madagascar. In this study, exposure to ionizing radiation was associated with the presence of oral clefts (p= 0.015EF). The result, however, needs to be further explored, as the questionnaire limited the response to yes or no for questions whether mothers have been subjected to ionizing radiation in the first trimester of pregnancy or not. Thus, information on the frequency, body site and ionizing radiation levels to which they were submitted were not investigated, indicating a need for future studies. The findings of this study confirm the relationship between the occurrence of cleft lip and palate and behavioral maternal gestational conditions therefore likely to be prevented. Thus, the need for the monitoring of pregnant women is reiterated, especially in the first trimester of pregnancy, in order to limit or control their exposure to factors that were associated with its occurrence.
Conclusion
Considering the methodology used in this study, it can be concluded that obesity, passive smoking, exposure to ionizing radiation and antibiotic use in the first trimester of pregnancy are associated with the occurrence of cleft lip and palate. The use of folic acid and analgesics and being of black race/color presented preventive effect for its occurrence. Thus, monitoring and careful controlling the identified risk factors in pregnant women, especially in the first trimester of pregnancy, is essential.
Future studies are needed to clarify the relationship between risk factors and protective factors identified in this study and the occurrence of cleft lip and palate in the population.
Acknowledgement
Authors declare that they have no conflict of interest. The work did not receive external funding. This work was approved by the Ethics in Research Committee of the University of Cuiabá (processes 003/2012 and 560,994/2014). Formal consent was obtained from the executive board of both hospitals and all participants signed the informed consent form before data collection.
Conflict of Interest: The authors declare that they have no conflict of interests.
References
- 1.Carinci F, Scapoli l, Palmieri A, Zollino I, Pezzetti F. Human genetic factors in nonsyndromic cleft lip and palate: an update. Int J Pediatr Otorhinolaryngol. 2007; 71: 1509–1519. doi: 10.1016/j.ijporl.2007.06.007. [DOI] [PubMed] [Google Scholar]
- 2.Mossey PA, Little J. Epidemiology of oral clefts: An international perspective. In: Wyszynski DF, editor. Cleft lip and palate: From origins to treatment. 1th ed. New York : Oxford University Press; 2002. pp. 127–158. [Google Scholar]
- 3.Rodrigues K, Sena MF, Roncalli AG, Ferreira MA. Prevalence of orofacial clefts and social factors in Brazil. Braz Oral Res. 2009; 23: 38–42. doi: 10.1590/s1806-83242009000100007. [DOI] [PubMed] [Google Scholar]
- 4.Wehby GL. Advancing and prioritizing research on oral clefts in Brazil. J Pediatr (Rio J) 2013; 89: 112–115. doi: 10.1016/j.jped.2013.03.013. [DOI] [PubMed] [Google Scholar]
- 5.Lebby KD, Tan F, Brown CP. Maternal factors and disparities associated with oral clefts. Ethn Dis. 2010; 20(1 Suppl 1): 146–149. [PMC free article] [PubMed] [Google Scholar]
- 6.Leite M, Albieri V, Kjaer SK, Jensen A. Maternal smoking in pregnancy and risk for congenital malformations: results of a Danish register-based cohort study. Acta Obstet Gynecol Scand. 2014; 93: 825–834. doi: 10.1111/aogs.12433. [DOI] [PubMed] [Google Scholar]
- 7.Mostafa T. Cigarette smoking and male infertility. JAR. 2010; 1: 179–186. [Google Scholar]
- 8.Rocha RS, Bezerra SC, Lima JWO, Costa FS. Consumo de medicamentos, álcool e fumo na gestação e avaliação dos riscos teratogênicos. Rev Gaúcha Enfermagem. 2013; 34: 37–45. doi: 10.1590/s1983-14472013000200005. [DOI] [PubMed] [Google Scholar]
- 9.Hutson JR, Stade B, Lehotay DC, Collier CP, Kapur BM. Folic acid transport to the human fetus is decreased in pregnancies with chronic alcohol exposure. PLoS One. 2012; 7: e38057. doi: 10.1371/journal.pone.0038057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Martelli DR, Cruz KW, Barros LM, Silveira MF, Swerts MS, Martelli Júnior H. Maternal and paternal age, birth order and interpregnancy interval evaluation for cleft lip-palate. Braz J Otorhinolaryngol. 2010; 76: 107–112. doi: 10.1590/S1808-86942010000100018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Figueiredo RF, Figueiredo N, Feguri A, Bieski I, Mello R, Espinosa M, Damazo AS. The role of the folic acid to the prevention of orofacial cleft: an epidemiological study. Oral Dis. 2015; 21: 240–247. doi: 10.1111/odi.12256. [DOI] [PubMed] [Google Scholar]
- 12.Acuña-González G, Medina-Solís CE, Maupomé G, Escoffie-Ramírez M, Hernández-Romano J, Márquez-Corona Mde L, et al. Family history and socioeconomic risk factors for non-syndromic cleft lip and palate: a matched case-control study in a less developed country. Biomedica. 2011; 31: 381–391. doi: 10.1590/S0120-41572011000300010. [DOI] [PubMed] [Google Scholar]
- 13.Lidral AC, Moreno LM, Bullard SA. Genetic factors and orofacial clefting. Semin Orthod. 2008; 14: 103–114. doi: 10.1053/j.sodo.2008.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Canfield MA, Honein MA, Yuskiv N, Xing J, Mai CT, Collins JS, et al. National estimates and race/ethnic-specific variation of selected birth defects in the united states, 1999-2001. Birth Defects Res a Clin Mol Teratol. 2006; 76: 747–756. doi: 10.1002/bdra.20294. [DOI] [PubMed] [Google Scholar]
- 15.Cuozzo FD, Espinosa MM, da Silva KT, de Barros YB, Bandeca MC, Aranha AM, et al. Cleft lip and palate in a brazilian subpopulation. J Int Oral Health. 2013; 5: 15–20. [PMC free article] [PubMed] [Google Scholar]
- 16.Racusin D, Stevens B, Campbell G, Aagaard KM. Obesity and the risk and detection of fetal malformations. Semin Perinatol. 2012; 36: 213–221. doi: 10.1053/j.semperi.2012.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Marengo L, Farag NH, Canfield M. Body mass index and birth defects: texas, 2005-2008. Matern Child Health J. 2013; 17: 1898–1907. doi: 10.1007/s10995-012-1214-5. [DOI] [PubMed] [Google Scholar]
- 18.Block SR, Watkins SM, Salemi JL, Rutkowski R, Tanner JP, Correia JA, et al. Maternal pre-pregnancy body mass index and risk of selected birth defects: evidence of a dose-response relationship. Paediatr Perinat Epidemiol. 2013; 27: 521–531. doi: 10.1111/ppe.12084. [DOI] [PubMed] [Google Scholar]
- 19.Mølgaard-Nielsen D, Hviid A. Maternal use of antibiotics and the risk of orofacial clefts: a nationwide cohort study. Pharmacoepidemiol Drug Saf. 2012; 21: 246–253. doi: 10.1002/pds.2179. [DOI] [PubMed] [Google Scholar]
- 20.Patel SJ, Reede DL, Katz DS, Subramaniam R, Amorosa JK. Imaging the pregnant patient for nonobstetric conditions: algorithms and radiation dose considerations. Radiographics. 2007; 27: 1705–1722. doi: 10.1148/rg.276075002. [DOI] [PubMed] [Google Scholar]
- 21.Rakotoarison RA, Rakotoarivony AE, Rabesandratana N, Razafindrabe JB, Andriambololona R, Andriambololo-Nivo R, et al. Cleft lip and palate in madagascar 1998-2007. Br J Oral Maxillofac Surg. 2012; 50: 430–434. doi: 10.1016/j.bjoms.2011.06.004. [DOI] [PubMed] [Google Scholar]
- 22.Brasil RJ. Instituto Brasileiro de Geografia e Estatística. Atlas do censo demográfico 2010. 1th ed. Rio de Janeiro : IBGE; 2013. p. 109. [Google Scholar]
- 23.Vanz AP, Ribeiro NR. Listening to the mothers of individuals with oral fissures. Rev Esc Enferm USP. 2011; 45: 596–602. doi: 10.1590/s0080-62342011000300007. [DOI] [PubMed] [Google Scholar]
- 24.Machado M, Pagliaro H, Baruzzi RG. Demographic profile of the Hupd'äh, a Maku people living in the Upper Rio Negro Region, State of Amazonas, Brazil (2000-2003) Rev Bras Estud Popul. 2009; 26: 37–50. [Google Scholar]
- 25.Pagliaro H. The demographic revolution among brazilian indigenous peoples: the case of the kayabí in the xingu indian reservation, mato grosso state, brazil, 1970-2007. Cad Saude Publica. 2010; 26: 579–590. doi: 10.1590/s0102-311x2010000300015. [DOI] [PubMed] [Google Scholar]
- 26.Genisca AE, Frías JL, Broussard CS, Honein MA, Lammer EJ, Moore CA, et al. Orofacial Clefts In The National Birth Defects Prevention Study, 1997-2004. Am J Med Genet A. 2009; 149: 1149–1158. doi: 10.1002/ajmg.a.32854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Oliveira NP, Moi GP, Atanaka-Santos M, Silva AM, Pignati WA. Congenital defects in the cities with high use of pesticides in the state of Mato Grosso, Brazil. Cien Saude Colet. 2014; 19: 4123–4130. doi: 10.1590/1413-812320141910.08512014. [DOI] [PubMed] [Google Scholar]
- 28.Stott-Miller M, Heike CL, Kratz M, Starr JR. Increased risk of orofacial clefts associated with maternal obesity: case-control study and monte carlo-based bias analysis. Paediatr Perinat Epidemiol. 2010; 24: 502–512. doi: 10.1111/j.1365-3016.2010.01142.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.van Beynum IM, Kapusta L, Bakker MK, den Heijer M, Blom HJ, de Walle HE. Protective effect of periconceptional folic acid supplements on the risk of congenital heart defects: a registry-based case-control study in the northern netherlands. Eur Heart J. 2010; 31: 464–471. doi: 10.1093/eurheartj/ehp479. [DOI] [PubMed] [Google Scholar]
- 30.Wallace GH, Arellano JM, Gruner TM. Non-syndromic cleft lip and palate: could stress be a causal factor? Women Birth. 2011; 24: 40–46. doi: 10.1016/j.wombi.2010.08.001. [DOI] [PubMed] [Google Scholar]