Abstract
congenital clubfoot is the most common birth defect of the musculoskeletal system and affects 1 in every 1000 live births each year.1 Although there have been numerous studies of investigation, the etiology and pathogenesis of clubfoot remains unknown. To date, no epidemiological studies have been conducted in Peru to assess possible genetic and environmental risk factors associated with this deformity. The purpose of this study was to evaluate specific environmental and socioeconomic factors that may increase the risk of clubfoot.
A descriptive clinic-based study was conducted using structured questionnaires given to biological mothers of clinically confirmed clubfoot patients (n=72) and biological mothers of children between ages 0-18 with no first or second degree family history of clubfoot as controls (n=103). Phenotypic data from clubfoot subjects were also collected. We found that males were twice as likely to have clubfoot as females, and half of all clubfoot patients had bilateral clubfoot. There was no significant difference in the rate of left vs. right clubfoot.
Infant birth in the winter months correlated with an increased risk of clubfoot (p=0.01476). Maternal characteristics found to be significantly associated with increased risk of clubfoot were young maternal age at conception (p=0.04369) and low maternal education (p=0.003245). Young paternal age also had a correlation with increased risk of clubfoot in the child (p=0.0371). Both paternal smoking (p=0.00001) and the presence of any household smoking (p=0.00003) were strongly associated with an increased risk of clubfoot.
Introduction
Congenital talipes equinovarus, more commonly known as clubfoot, is a leading cause of disability world- wide1. This birth defect is characterized by equinus of the ankle, varus of the hindfoot, as well as cavus and adductus of the forefoot with an associated atrophy of the calf muscles1. The most common presentation of clubfoot is idiopathic; however, it may also be associated with other medical syndromes such as myelomeningocele or arthrogryposis2. The incidence of clubfoot is approximately 1 in 1000 live births per year, with the global burden of this birth defect affecting more than 150,000 infants each year3-9. Over 80% of cases occur in developing nations, where clubfoot is a major disease burden in low-resource areas10,11. Despite many previous research studies and investigations, the etiology and pathogenesis of clubfoot has not been fully elucidated.
Previous studies have proposed several risk factors that are associated with clubfoot, including male gender, maternal smoking, maternal age, maternal marital status, parity, maternal education, and maternal diabetes12-18. Currently, no epidemiological studies have been produced examining the risk factors associated with clubfoot in Peru. This study was designed to describe specific risk factors that may be associated with an increased risk of idiopathic clubfoot in Peru. Determining these risk factors will assist further understanding of the etiology of this deformity as well as providing information for further educational programming for parents.
Materials and Methods
The University of Iowa Institutional Review Board approved this study before implementation. A Spanish-speaking medical student recruited subjects and administered questionnaires over a period of ten weeks. The purpose of the study was explained in detail, and parents of case and control patients were provided a consent letter to read and sign prior to the interview. This study utilized a structured questionnaire to describe specific risk factors that could be associated with clubfoot.
The cohort for this case-control study included patients from two major children’s hospitals located in the capital city of Lima. Questionnaires were given to the biological mothers of children between the ages of 0-18 from live, singleton births. The population of cases included patients with a physician-confirmed diagnosis of idiopathic clubfoot who received treatment in pediatric orthopedic outpatient clinics. The population of controls included patients receiving treatment in the pediatric orthopedic outpatient clinics who did not have a diagnosis of idiopathic clubfoot. Additionally, the controls did not have a first- or second-degree family history of clubfoot or any other congenital abnormalities.
The anonymous questionnaire described data about the child, biological mother, and biological father. Information collected about the patient included gender, gestational age, birth weight, birth month, exposure to smoking, and location of birth. Information collected about the maternal pregnancy included age at conception, mode of delivery, presence of breech presentation, smoking history, education, marital status, and diabetes. Information collected about the biological father included age at the time of conception and smoking history. The data were recorded in Spanish, translated into English, and analyzed with EpiInfo version 7 using a student’s t-test. A p-value of < 0.05 indicated a statistically significant association.
Results
At the completion of the study, 72 cases of clubfoot and 103 control patients were enrolled in the study to respond to risk factor questionnaires.
Phenotypic characteristics of the clubfoot cases are located in Table 1. Of all clubfoot cases, 61% were male and 39% were female. Forty-two percent of the cases presented with bilateral clubfoot, while 53% of the cases presented with unilateral clubfoot. Of the 38 cases with unilateral clubfoot, 53% had an affected left foot and 47% had an affected right foot. Of the 72 families, 11% of the cases reported a known family history of clubfoot.
Table 1.
Descriptive Statistics of Cases
| Phenotypic Characteristics | Cases (n=72) |
|---|---|
| Gender | |
| Male | 44 (61%) |
| Female | 28 (39%) |
| Laterality | |
| Bilateral | 34 (47%) |
| Unilateral | 38 (53%) |
| Left | 20 (53%) |
| Right | 18 (47%) |
| Known Family History | |
| Yes | 8 (11%) |
| No | 64 (89%) |
Descriptive statistics of possible risk factors associated with clubfoot are shown in Table 2. There was no significant association between gestational age or birth weight of the infant and clubfoot. Twenty-two percent of clubfoot cases were born before full term (<37 weeks gestation) compared to 20% of controls. Fourteen percent of clubfoot cases were born with birth weights less than 2500 grams compared to 11% of controls. We did find a significant association between season of birth and clubfoot; 63% of clubfoot patients were born in the winter months of March to August while 45% of control patients were born in winter months, corresponding to a p value of 0.01476. We did not find a significant association between clubfoot and method of birth, including breech presentation or Cesarean delivery. Four percent of clubfoot cases were born in breech presentation compared to 2% of controls. Thirty-five percent of clubfoot cases were delivered by Cesarean compared to 34% of controls.
Table 2.
Descriptive Statistics of Clubfoot Cases and Controls
| Demographic Characteristics | Cases (n=72) | Controls (n=103) |
|---|---|---|
| Gestational Age | ||
| <37 weeks | 16 (22%) | 21 (20%) |
| 37+ weeks | 56 (78%) | 82 (80%) |
| Birth Weight (grams) | ||
| =2500 | 10 (14%) | 11 (11%) |
| ≤ 2500 | 58 (81%) | 91 (88%) |
| Missing | 4 (6%) | 1 (1%) |
| Birth Month p-0.01476 | ||
| Mar-Aug | 45 (63%) | 46 (45%) |
| Sept-Feb | 27 (38%) | 57 (55%) |
| Breech Presentation | ||
| Yes | 3 (4%) | 2 (2%) |
| No | 40 (61%) | 65 (65%) |
| Missing | 24 (34%) | 33 (34%) |
| Cesarean | ||
| Yes | 25 (35%) | 36 (34%) |
| No | 47 (65%) | 67 (65%) |
| Maternal Age at Conception p-0.04369 | ||
| <23 | 23 (32%) | 20 (19%) |
| 24-34 | 40 (56%) | 63 (64%) |
| 35+ | 9 (13%) | 20 (17%) |
| Maternal smoking during | ||
| pregnancy | 2 (3%) | 3 (3%) |
| Yes | 62 (97%) | 100 (97%) |
| No | ||
| Maternal diabetes | 0 | 0 |
| Yes | 64 (100%) | 103 (100%) |
| No | ||
| Maternal Education p-0.003245 | 23 (32%) | 14 (14%) |
| = High School | 49 (68%) | 89 (86%) |
| ≤ High School | ||
| Maternal Marital Status | 21 (29%) | 35 (34%) |
| Married | 51 (71%) | 68 (66%) |
| Single | ||
| Paternal age at conception p-0.0371 | 14 (29%) | 9 (9%) |
| <23 | 41 (57%) | 47 (46%) |
| 24-34 | 15 (21%) | 47 (46%) |
| 35+ | 1 (1%) | 0 |
| Missing | ||
| Paternal smoking p-0.003359 | 22 (31%) | 13 (13%) |
| Yes | 50 (69%) | 90 (87%) |
| No | ||
| Any Household smoking p-0.00001192 | 34 (47%) | 17 (17%) |
| Yes | 38 (53%) | 86 (83%) |
| No |
Of the social and demographic maternal characteristics measured by the study, maternal age at conception and level of maternal education were statistically associated with clubfoot. While 32% of mothers of clubfoot patients were under the age of 23 at conception, 19% of control mothers were of young maternal age, corresponding to a p value of 0.04369. Thirty-two percent of mothers of clubfoot cases did not complete high school compared to 14% of control mothers, corresponding with a p value of 0.003245. Three percent of mothers of clubfoot cases smoked during the pregnancy compared to 3% of the control mothers. None of the mothers in either the clubfoot cases or the controls reported presence of maternal diabetes. Twenty-nine percent of mothers of clubfoot cases were married compared to 34% of control mothers.
Of the social and demographic paternal characteristics measured by the study, both paternal age at conception and paternal smoking were statistically associated with clubfoot. While 29% percent of fathers of clubfoot patients were under the age of 23 at conception, 9% of fathers of control patients were of young paternal age, corresponding to a p value of 0.0371. Thirty-one percent of fathers of clubfoot patients reported smoking during pregnancy compared to 13% of fathers of controls, corresponding with a p value of 0.003359.
Other characteristics of the child’s family found to be statistically significantly associated with clubfoot were presence of any smoking in the household and location of residence. Forty-seven percent of parents of clubfoot patients reported presence of any smoking in the household during the child’s pregnancy compared to 17% of control parents corresponding with a p value of 0.00001192. Forty-two percent of clubfoot patients resided in Lima and the surrounding area compared to 73% of control patients, corresponding with a p value of 0.000033.
Discussion
The results of this study support previously reported data in the literature indicating that males are twice as likely as females to be affected by clubfoot (61% of males and 39% of females, n=72), indicating that there is a genetic influence for male sex as a strong risk factor for clubfoot12,13. Also, in concordance with the literature, approximately 50% of children were affected with bilateral clubfoot. In our study, there was no significant difference between cases of left or right unilateral clubfoot (53% left and 47% right, n=38), although previous studies have found an increased prevalence of right-sided clubfoot19-21.
We did not find significant associations between clubfoot and low birth weight (<2500 g) or pre-term birth (< 37 weeks), both of which have been shown to have associations with clubfoot in previous studies22-24. Our study did not find an association between breech presentation and clubfoot, which has been shown in previous studies14. Both the cases and controls had a high non-response rate to the question regarding breech presentation, possibly related to the high prevalence of birth by Cesarian section in both the case and control groups.
Our findings did show an association between seasonal variation and clubfoot23-25. Previous studies have reported an increased prevalence of infants with clubfoot born in the winter season. In the southern hemisphere, the winter season lasts from March until August, and our data shows an increased prevalence of clubfoot during this time. Other studies have not found this seasonal variation26.
The literature also reports several sociodemographic characteristics associated with increased risk of clubfoot that vary among populations, specifically maternal smok- ing12-18. In Peru, female smoking habits have declined from 17.8% in 1999 to a 9% prevalence in 200927. Only 3% of case and 3% control mothers indicated smoking habits; however, there was a significant association between clubfoot and paternal smoking (31% cases, n=72 and 13% controls, n=103) as well as any household smoking present (47% cases, n=72 and 17% controls, n=103). Thus, these data support previous indications that second-hand smoke is a risk factor for clubfoot28.
In our study, young maternal age (< 23 years old) was found to have a significant association with increased risk of clubfoot (32% case mothers, n=72 and 19% control mothers, n=103) in concordance with many other epidemiologic surveys14,26. Similarly, we also found that young paternal age (< 23 years old) was significantly associated with increased risk of clubfoot (29% of case fathers, n=71 and 9% of control fathers, n=103). Mothers with an education level less than high school was also found to be a risk factor with a significant association with increased clubfoot prevalence, supporting previous data12,14,15. Maternal diabetes and maternal marital status were not found to have significant association with clubfoot in our study population.
The project described was supported by Grant Number T37MD001453 from the National Institute On Minority Health And Health Disparities. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute On Minority Health And Health Disparities or the National Institutes of Health.
Conclusions
This study supports previously reported data stating that males are twice as likely to be affected by clubfoot and approximately 50% of clubfoot patients are affected bilaterally. In our study, there was no significant difference between left and right clubfoot in patients that are unilaterally affected. Many of these findings are universally reported by numerous studies, suggesting a strong genetic association with clubfoot. Our findings also confirm previous studies reporting associations with young maternal age, maternal education, young paternal age, paternal smoking habits, and household smoking habits. The absence of the association between maternal smoking and clubfoot in our study contradicts numerous studies that have shown a strong association. Differences in culture may have led to this disagreement. These preliminary findings provide the foundation for future epidemiologic studies in the Peruvian population as well as studies in the general South-American population in the future.
References
- 1.Barker S, Chesney D, Miedzybrodzka Z, Maffulli N. Genetics and epidemiology of idiopathic congenital talipes equinovarus. J Pediatr Orthop. 2003;23:265–72. [PubMed] [Google Scholar]
- 2.Sullivan J. Lovell and Winter’s pediatric orthopedics. 4. Philadelphia: Lippincott-Raven; 1996. The child’s foot. [Google Scholar]
- 3.Wynne-Davies R. Family studies and the cause of congenital club foot. talipes equinovarus, talipes calcaneo-valgus and metatarsus varus. J Bone Joint Surg Br. 1964;46:445–463. [PubMed] [Google Scholar]
- 4.Danielsson LG. Incidence of congenital clubfoot in Sweden. 128 cases in 138,000 infants 1946-1990 in Malmo. Acta Orthop Scand. 1992;63:424–6. doi: 10.3109/17453679209154759. [DOI] [PubMed] [Google Scholar]
- 5.Byron-scott R, Sharpe P, Hasler C, Cundy P, Hirte C, Chan A, Scott H, Baghurst P, Haan E. A South Australian population-based study of congenital talipes equinovarus. Paediatr Perinat Epidemiol. 2005;19:227–37. doi: 10.1111/j.1365-3016.2005.00647.x. [DOI] [PubMed] [Google Scholar]
- 6.Ching GH, Chung CS, Nemechek RW. Genetic and epidemiological studies of clubfoot in Hawaii: ascertainment and incidence. Am J Hum Genet. 1969;21:566–580. [PMC free article] [PubMed] [Google Scholar]
- 7.Chung CS, Nemechek RW, Larsen IJ, al. e. Genetic and epidemiological studies of clubfoot in Hawaii. General and medical considerations. Hum Hered. 1969;19:321–342. doi: 10.1159/000152236. [DOI] [PubMed] [Google Scholar]
- 8.Moorthi RN, Hashmi SS, Langois P, Canfield M, Waller DK, Hecht JT. Idiopathic talipes equinovarus (ITEV) (clubfeet) in Texas. Am J Med Genet A. 2005;132:376–80. doi: 10.1002/ajmg.a.30505. [DOI] [PubMed] [Google Scholar]
- 9.Evans AM, van Thanh D. A review of the Pon- seti method and development of an infant clubfoot program in Vietnam. J Am Podiatr Med Assoc. 2009;99:306–16. doi: 10.7547/0980306. [DOI] [PubMed] [Google Scholar]
- 10.Morcuende A.J. Congenital idiopathic clubfoot: prevention of late deformity and disability by conservative treatment with the Ponseti technique. Pediatric Annals. 2006 Feb;35(2):128,132–30,6. doi: 10.3928/0090-4481-20060201-13. [DOI] [PubMed] [Google Scholar]
- 11.Saltzman MH. Foot focus: International initiative to eradicate clubfeet using the Ponseti method. Foot & Ankle International. 2009 May;30(5):468–71. doi: 10.3113/FAI-2009-0468. [DOI] [PubMed] [Google Scholar]
- 12.Kancherla V, Romitti PA, Caspers KM, Puzhan- kara S, Morcuende JA. Epidemiology of congenital idiopathic talipes equinovarus in Iowa, 1997-2005. Am J Med Genet A. 152A:1695–700. doi: 10.1002/ajmg.a.33481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Alderman BW, Takahashi ER, LeMier MK. Risk indicators for talipes equinovarus in Washington State, 1987-1989. Epidemiology. 1991;2:289–92. doi: 10.1097/00001648-199107000-00009. [DOI] [PubMed] [Google Scholar]
- 14.Parker SE, Mai CT, Strickland MJ, Olney RS, Rickard R, Marengo L, Wang Y, Hashmi ss, Meyer RE. Multistate study of the epidemiology of clubfoot. Birth Defects Res A Clin Mol Teratol. 2009;85:897–904. doi: 10.1002/bdra.20625. [DOI] [PubMed] [Google Scholar]
- 15.Cardy AH, Barker S, Chesney D, Sharp L, Maf-fulli N, Miedzybrodzka Z. Pedigree analysis and epidemiological features of idiopathic congenital talipes equinovarus in the United Kingdom: a case- control study. BMC Musculoskelet Disord. 2007;8:62. doi: 10.1186/1471-2474-8-62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Skelly AC, Holt VL, Mosca VS, Alderman BW. Talipes equinovarus and maternal smoking: a population-based case-control study in Washington state. Teratology. 2002;66:91–100. doi: 10.1002/tera.10071. [DOI] [PubMed] [Google Scholar]
- 17.Dickinson KC, Meyer RE, Kotch J. Maternal smoking and the risk for clubfoot in infants. Birth Defects Res A Clin Mol Teratol. 2008;82:86–91. doi: 10.1002/bdra.20417. [DOI] [PubMed] [Google Scholar]
- 18.Honein MA, Paulozzi U, Moore CA. Family history, maternal smoking, and clubfoot: an indication of a gene-environment interaction. Am J Epidemiol. 2000;152:658–65. doi: 10.1093/aje/152.7.658. [DOI] [PubMed] [Google Scholar]
- 19.Lochmiller C, Johnston D, Scott A, Risman M, Hecht JT. Genetic epidemiology study of idiopathic talipes equinovarus. Am J Med Genet. 1998;79:90–96. [PubMed] [Google Scholar]
- 20.Wallander H, Hovelius L, Michaelsson K. Incidence of congenital clubfoot in Sweden. Acta Orthop. 2006;77:847–52. doi: 10.1080/17453670610013123. [DOI] [PubMed] [Google Scholar]
- 21.Roye DP, Jr., Roye BD. Idiopathic congenital talipes equinovarus. J Am Acad Orthop Surg. 2002;10:239–48. doi: 10.5435/00124635-200207000-00002. [DOI] [PubMed] [Google Scholar]
- 22.Barker SL, Macnicol MF. Seasonal distribution of idiopathic congenital talipes equinovarus in Scotland. J Pediatr Orthop B. 2002;11:129–33. doi: 10.1097/00009957-200204000-00008. [DOI] [PubMed] [Google Scholar]
- 23.Pryor GA, Villar RN, Ronen A, Scott PM. Seasonal variation in the incidence of congenital talipes equinovarus. J Bone Joint Surg Br. 1991;73:632–4. doi: 10.1302/0301-620X.73B4.2071648. [DOI] [PubMed] [Google Scholar]
- 24.Robertson WW,Jr., Corbett D. Congenital clubfoot. Month of conception. Clin Orthop Relat Res. 1997:14–8. doi: 10.1097/00003086-199705000-00004. [DOI] [PubMed] [Google Scholar]
- 25.Carney BT, Coburn TR. Demographics of idiopathic clubfoot: is there a seasonal variation? J Pediatr Orthop. 2005;25:351–2. doi: 10.1097/01.bpo.0000152943.02864.1a. [DOI] [PubMed] [Google Scholar]
- 26.Loder RT, Drvaric DM, Carney B, Hamby Z, Barker S, Chesney D, Maffulli N. Lack of seasonal variation in idiopathic talipes equinovarus. J Bone Joint Surg Am. 2006;88:496–502. doi: 10.2106/JBJS.E.00093. [DOI] [PubMed] [Google Scholar]
- 27.Peru Data. World Bank Group. Web. 14 Feb. 2013. < http://data.worldbank.org/country/peru>. [Google Scholar]
- 28.Sommer A, Blanton SH, Weymouth K, Alvarex C. Smoking, the xenobiotic pathway, and clubfoot. Birth Defects Research (Part A). 2011;91:20–28. doi: 10.1002/bdra.20742. [DOI] [PMC free article] [PubMed] [Google Scholar]
