Abstract
Background and aim
Congenital hypothyroidism (CH) is known as one of the most common preventable cause of mental retardation. This study aimed to determine factors associated with CH in Iran.
Methods
This case-control study was conducted on 160 children under one year old in Zahedan in southeast Iran in 2016. The neonates who were born from March 1, 2015 to March 19, 2016 and had undergone a screening program for CH were the study population. The neonates with serum TSH > 10mIu/L and T4 < 6.5 or TSH > 30 mIu/L were considered as a case group. Each case was individually matched for sex, age at birth and place of residence with three neonates with normal TSH and T4 titers as a control group. Data was gathered using a standard checklist and analyzed using SPSS 20 and statistical tests, such as Chi-square and Fisher’s exact tests. Multivariable logistic regression analysis was also used to identify independent predictors of CH.
Results
About 25 of the 40 patients with CH (62.5%) were male who, in the univariate analysis, the following explanatory factors had no significant association with CH: history of parental consanguinity, type of delivery, weight at birth, height at birth, age of mother, sampling time, nationality, and birth season (p>0.05). Although, multivariate analysis showed no significant association between the studied factors and risk of CH (p>0.05), the likelihood of CH was greater among neonates born to consanguineous parents (AOR: 1.78, 95% CI: 0.82–3.89), those who were born to lower height at birth (AOR: 1.82, 95% CI: 0.85–3.91), neonates born to mothers younger than 18 years (AOR: 2.43, 95% CI: 0.57–10.29) and those who were born in the summer (AOR: 1.76, 95% CI: 0.57–5.44).
Conclusion
None of the studied factors were predictors for CH. Since consanguineous marriages are frequent in the province, and it may be a major contributory factor, future studies should be conducted on the genetic causes.
Keywords: Congenital hypothyroidism, Risk Factors, Iran
1. Introduction
Congenital hypothyroidism (CH) is known as one of the most common preventable causes of mental retardation (1), and also considered a major preventable and detectable cause of mental retardation with early and simple treatment (2). CH is caused by dysfunction of the hypothalamus-pituitary- thyroid axis (1) and lack of thyroid hormones at birth in newborns (3). Thyroid hormones have an invaluable role in maintaining mental development in children (4). Most infants with CH at birth often have a normal appearance and non-specific clinical symptoms and signs. Thus, if diagnosis is made based only on clinical symptoms, newborns will suffer from irreversible complications such as neurological damage (5), slow growth, delayed skeletal maturation (3, 4), and mental retardation (4). Therefore, screening programs which were developed in the early 1970’s and accepted by many countries worldwide (6), are the only effective way to diagnose and treat CH. In this regard, a screening program for CH was carried out in Iran in 1987 (8). Currently, screening programs are used in developed and developing countries (7) by measuring Thyroid-Stimulating Hormone (TSH) and thyroxin (T4) (3) through cord blood and heel blood samples (5). Diagnosis and timely treatment of CH, significantly reduces mental disability and irreversible neurological damage (2). The prevalence of CH is reported in different regions, as in Turkey 1:2736, in Pakistan 1:781, in Black America 1:10,000(9) and in Nigeria 1:67.1 (10). Moreover, the average incidence of CH worldwide is estimated at around 1 in 3000–4000 live births, which is higher than the average incidence of hypothyroidism in the world (11). There are some variations in different areas of Iran such as Tehran and Isfahan which found the average prevalence of CH at 1:914 and 1:338 live birth, respectively (11). Several studies have investigated different prognostic factors of CH (12, 13), that indicates the influence of several genetic and environmental factors on the incidence of this disease (12). More practically, it could be helpful to have a higher index of suspicion for CH in neonates with the identified risk factors. However, to date, no study has been conducted in Sistan and Baluchestan province for exploring probable causes related to hypothyroidism. On the other hand, due to the high prevalence of CH in Zahedan as the capital of the province, the aim of this study was to determine related factors with CH in Sistan and Baluchestan as the widest and poorest region in Iran.
2. Material and Methods
This case-control study was conducted in Zahedan in southeast Iran in 2016, based on the available data in the medical records of neonates who had undergone a CH screening program in a public health center. The study population were children under one-year old who were born in Zahedan between March 1, 2015 and March 19, 2016, and had undergone a CH screening program. The neonates who had incomplete medical records in the local health centers were excluded from the study. In the screening program, blood samples had already been taken from all neonates’ heel in order to detect hypothyroidism in early neonatal period. According to the guidelines of the Ministry of Health and Medical Education in Iran, levels of thyroid-stimulating hormone (TSH) >10 mU/L and a T4 level <6.5 mg/dL allow the diagnosis of CH. In addition, infants with a TSH level ≥20 mU/L were referred to a specialist for specific surveillance (14). The neonates with CH were considered as cases. On the other hand, infants who had TSH levels < 5 mU/L, obtained using the method outlined above or an intravenous test of TSH with results of 1.7 to 9.9 mU/L and a T4 level of 6.5 to 16.3, were considered normal (14). To increase the power of the study, more than one control was selected per case and for each case, three neonates with normal TSH and T4 titers were randomly selected as control from the same health centers. Thus, several blocks were randomly selected in the health centers and from the same blocks several household records were randomly selected for the controls. Accordingly, the cases were frequency matched with the associated controls based on sex, age at birth and place of residence. Therefore, the study cases and controls were selected based on census and simple randomization methods, respectively. We investigated the effect of potential risk factors on congenital hypothyroidism. The available data were extracted directly from the neonates’ medical records using a standard checklist including demographic characteristics of neonates such as sex, weight at birth, height at birth, nationality, the place of residence, the birth season and age of the neonate at the time of sampling, and parents’ demographic characteristics such as type of delivery, age of mother, and consanguinity parents. The data were analyzed with statistical tests, such as Chi-square and Fisher exact test using IBM© SPSS© Statistics version 20 (IBM© Corp., Armonk, NY, USA). A binary analysis was used to describe the association between independent and dependent variables. A multivariable logistic regression analysis identified determinants of CH at 95% CI and p <0.05. The final model was fitted using the Adjusted x2 Goodness of Fit test. According no extra intervention was performed for these samples and; therefore, there was no ethical issue in the data gathering. Moreover, the Ethics Committee of Zahedan University of Medical Sciences approved this study (ref. no.: 7927).
3. Results
This study was carried out on the 160 children with or without a history of CH (40 with CH and 120 with no history of hypothyroidism). According to results, 25 of 40 patients (62.5%) were male that the proportion was higher in males than females. The demographic variables are shown in Table 1. Crude and adjusted odds ratios were computed for each explanatory variable to determine the strength of association and control confounders. To assess the association between the different factors and CH, bivariate analysis was done. All independent variables with p< 0.2 were taken as a cut-off point to select variables for the multiple logistic regression models. Then, variables with p< 0.05 were used to fit the final multivariate logistic regression model. The unadjusted and adjusted odds ratios together with their 95% confidence intervals were computed. According to the univariate logistic regression analysis, there was no significant association between a history of parental consanguinity and CH (p=0.09); however, odds ratio (OR) of CH in infants who were born to consanguineous parents was 1.86 times greater than others [COR: 1.86, 95% CI: 0.89–3.89). The probability of CH occurrence was 2 times higher in low height neonates than that of normal or high height neonates (COR: 2, 95% CI: 0.96–4.14); however, there was no significant association (p=0.06). Also, there was no significant difference between the occurrence of CH and weight at birth either (p=0.65).However, the OR estimate of CH was 1.46 times in neonates with lower weight than 2500 gr compared to neonates with normal weight (2500–3500) (COR: 1.46, 95% CI: 0.51–4.19). The probability of CH occurrence was 2.88 times higher than the neonates who were born from mothers younger than 18 years compared to the neonates who were born with mothers of normal age (18–35) years (COR: 2.88, 95% CI: 0.72–11.53); however, there was no significant association (p=0.25). Moreover, the probability of CH occurrence was 1.47 times higher than the neonates who were born from mothers older than 35 years compared to the neonates who were born with mothers of normal age (18–35) years (COR: 1.47, 95% CI: 0.64–3.36); however, there was no significant association (p=0.25). On the other hand, there was no statistical association between CH and type of delivery, time of screening, nationality, and birth season (p>0.05) (Table 1). According to results, multivariate logistic regressions analysis showed no significant association between the studied factors and risk of CH among the children (p>0.05). However, OR of CH in neonates who were born from consanguineous parents were 1.78 times greater than neonates who were born from parents without consanguinity (AOR: 1.78, 95% CI: 0.82–3.89). The probability of CH occurrence was 1.82 times higher in the low height neonates than those with normal or high height (AOR: 1.82, 95% CI: 0.85–3.91). The probability of CH occurrence was 2.43 times higher than the neonates who were born from younger mothers compared with others (18–35) years (AOR: 2.43, 95% CI: 0.57–10.29). Table 2 shows the results of multivariate (adjusted) logistic regression analysis of the effects of neonates’ characteristics on CH.
Table 1.
Analysis of univariate (unadjusted) logistic regression by the characteristics of all neonates with (case) or without (control) CH
| Variable | Case | Control | Crude OR (95% CI) | p-value | |||
|---|---|---|---|---|---|---|---|
| n | % | n | % | ||||
| Type of delivery | Normal | 28 | 23.5 | 91 | 76.5 | Ref. | 0.56 |
| Caesarean | 12 | 28 | 31 | 72 | 1.26 (0.57–2.77) | ||
| History of consanguineous marriage | Yes | 26 | 30 | 61 | 70 | 1.86 (0.89–3.89) | 0.09 |
| No | 14 | 18.7 | 61 | 81.3 | Ref. | ||
| Height at birth (cm) | <50 | 21 | 31.8 | 45 | 68.2 | 2 (0.96–4.14) | 0.06 |
| ≥50 | 18 | 19 | 77 | 81 | Ref. | ||
| Weight at birth (gr) | 2500–3500 | 29 | 24 | 92 | 76 | Ref. | 0.65 |
| <2500 | 6 | 31.6 | 13 | 68.4 | 1.46 (0.51–4.19) | ||
| >3500 | 4 | 19 | 17 | 81 | 0.75 (0.23–2.39) | ||
| Age of mother (years) | 18–35 | 25 | 21.7 | 90 | 78.3 | Ref. | 0.25 |
| <18 | 4 | 44.4 | 5 | 55.6 | 2.88 (0.72–11.53) | ||
| >35 | 11 | 29 | 27 | 71 | 1.47 (0.64–3.36) | ||
| Sampling time (days) | 3–5 | 17 | 25.4 | 50 | 74.6 | Ref. | 0.81 |
| >5 | 23 | 27.1 | 62 | 72.9 | 1.09 (0.53–2.26) | ||
| Nationality | Iranian | 39 | 24.5 | 120 | 75.5 | 0.65 (0.06–7.36) | 1.00 |
| Afghani | 1 | 23.3 | 2 | 66.7 | Ref. | ||
| Birth season | Spring | 15 | 39.5 | 23 | 60.5 | Ref. | 0.09 |
| Summer | 8 | 18.6 | 35 | 81.4 | 0.35 (0.13–0.95) | ||
| Fall | 10 | 18.5 | 44 | 81.5 | 0.34 (0.13–0.89) | ||
| Winter | 7 | 25.9 | 20 | 74.1 | 0.53 (0.18–1.58) | ||
Table 2.
Results of multivariate (adjusted) logistic regression analysis of the effects of neonates’ characteristics on CH
| Variable | Adjusted OR | 95% CI | |
|---|---|---|---|
| History of consanguineous marriage | Yes | Ref. | - |
| No | 1.78 | 0.82–3.89 | |
| Height at birth (cm) | <50 | 1.82 | 0.85–3.91 |
| ≥50 | Ref. | - | |
| Age of mother (years) | 18–35 | Ref. | - |
| <18 | 2.43 | 0.57–10.29 | |
| >35 | 1.31 | 0.53–3.17 | |
| Birth season | Spring | Ref. | - |
| Summer | 1.76 | 0.57–5.44 | |
| Fall | 0.74 | 0.22–2.43 | |
| Winter | 0.69 | 0.22–2.15 | |
4. Discussion
Several studies have investigated different prognostic factors on CH (12, 13). Identification of risk factors for this condition can improve diagnosis or treatment plan of these neonates. The study results showed that boys were at higher risk of CH than girls. Anastasovska et al. concluded that the risk of CH was higher among boys (15). Many reports have indicated that CH is frequently found in girls (16, 17). Medda et al. conducted a case-control study in order to determine risk factors for CH, and reported higher prevalence of CH among females than males (16). Akha et al. reported that the female/male ratio of CH was approximately 1.0 (10). The difference may be due to the role of sex hormones in relation to this disease that probably provides proper background to incidence of the autoimmune disease, and to supply necessary antigens for the disease as well as to create apoptosis in follicle cells of the thyroid (18). Due to the matching individuals in this study, the relationship between gender and CH cannot be measured. However, boys were at higher risk of CH than girls. But it is still unknown, and these observations require more epidemiological studies. The present study showed no significant association between CH and type of delivery. In this study, among 40 patients with CH, 28% (12 cases) and 23.5% (28 cases) were delivered by NVD and cesarean, respectively. Esmailnasab et al. showed no relationship between type of delivery and CH (12), while Rezaeian et al. and Khalafi et al. reported an inverse relationship between type of delivery and CH. They indicated that neonates delivered by cesarean have higher risk of CH than neonates delivered by NVD (19, 20). Some researchers believe that cesarean can increase TSH levels (13). Although in the present study, there was no significant association between CH and history of parental consanguinity; however, neonates who were born of parents in a consanguineous marriage were at higher risk of CH compared to others. Previous literature shows that children of Asian families are at higher risk of CH than other ethnicities (21). It is unclear why the Asian population have a higher risk of CH; it is may be because of consanguineous marriages in this areas (22). The results in another study, also showed no significant relationship between parental consanguinity and CH (23). In contrast, many other studies such as the study conducted in Shadegan, Iran reported that relationships were found between CH and parental consanguinity (24). Hence, hypothyroidism is sporadic and in the occurrence of genetic mutations, genetic factors have little role in its development (24). Due to the lack of iodine deficiency in Iran (25) and the declaration of Iran as a country free of iodine deficiency, it can be concluded that genetic and familial factors have more prominent role than environmental factors such as iodine deficiency (12).
According to our findings, the neonates who were born from younger mothers were at higher risk of CH. Abedi et al. and Keshavarzian et al. reported that there was no relationship between age of mother and CH (11, 24). However, the results in another study showed a significant relationship between age of mother and CH (19). Harris et al. concluded that neonates who were born from mothers aged 40 years and older have a higher risk of CH than younger mothers (21). A maternal age under 35 years has been identified as a risk factor in some studies (8). The results of the present study indicated that the probability of CH in low-birth height infants is two-fold greater than normal or high height infants. In this regard, Dalili et al. reported that there was no relationship between height and weight at birth and CH (26). Eftekhari et al. and Abedi et al. reported an inverse relationship between height and weight at birth with CH (11, 27). Weight and height at birth in neonates are dependent on many factors, such as lack of access to accurate nutritional information, pre-pregnancy status and overlapping with other diseases (28).
Our findings showed that there was no association between birth season and CH; however, the neonates who were born in the summer were at higher risk of hypothyroidism compared to those who were born in spring. The results regarding seasonal relationships were consistent with previous literature such as that of Pearce et al. in northern England (29) Dalili et al. (13), Keshavarzian et al (24) and Hashemipour et al. (30) in Iran, while some studies have shown a seasonal variation in the incidence of CH such as Gu et al. (31) in Japan, Ordookhani et al. (32) and Rezaeian et al. (19) in Iran. Environmental conditions such as increasing airborne exposures or seasonal dietary changes that could provide a justification, may be reasons of this controversy. It is concluded that differences in climate, viral infections or chemical exposures are important in the differences. Hashemipour et al. found that maximum incidence of CH was found in July and August. (30). While Rezaeian et al. reported higher incidence of CH in winter (19). Our findings showed that CH had no association with time of sampling. However, Mohammadi et al. reported a significant correlation between time of sampling and CH (33). In most countries, low cooperation of people was indicated as screening weakness because screening should done in 72 hours after child birth (34). According to our findings, there was no correlation between nationality and CH. Regarding the study limitation, the number of participants with hypothyroidism was very low and access to patient records and incomplete information was another limitation of the study.
5. Conclusions
In general, although the studied variables did not have any statistical association with CH, they have an important role in the disease. It is recommended that thyroid screening programs should be followed seriously. Also, more comprehensive studies are needed to be carried out for recognizing related factors on the incidence of congenital hypothyroidism. Since consanguineous marriages are frequent in the province, and it may be a major contributory factor, future studies should be conducted on the genetic causes.
Acknowledgments
The authors would like to thank the health center mangers for their collaboration in the study. The present article was extracted from a research project grant no. 7927 which is supported by Zahedan University of Medical Sciences.
Footnotes
iThenticate screening: November 09, 2017, English editing: January 12, 2018, Quality control: January 15, 2018
This article has been reviewed / commented by four experts
Conflict of Interest:
There is no conflict of interest to be declared.
Authors’ contributions:
All authors contributed to this project and article equally. All authors read and approved the final manuscript.
References
- 1.Fan X, Chen S, Qian J, Sooranna S, Luo J, Li C, et al. Incidence and Interrelated Factors in Patients With Congenital Hypothyroidism as Detected by Newborn Screening in Guangxi, China. Glob Pediatr Health. 2015 doi: 10.1177/2333794X14567193.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ghaemi N, Bagheri S, Elmi S, Rezaee SM, Elmi S, Sayyar RE. Delayed Diagnosis of Hypothyroidism in Children: Report of 3 Cases. Iranian Red Crescent Medical Journal. 2015;17(11):e20306. doi: 10.5812/ircmj.20306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Löf C, Patyra K, Kuulasmaa T, Vangipurapu J, Undeutsch H, Jaeschke H, et al. Detection of novel gene variants associated with congenital hypothyroidism in a Finnish patient cohort. Thyroid. 2016;26(9):1215–24. doi: 10.1089/thy.2016.0016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Singh A, Purani C, Mandal A, Mehariya KM, Das RR. Prevalence of Thyroid Disorders in Children at a Tertiary Care Hospital in Western India. Journal of clinical and diagnostic research: JCDR. 2016;10(2):SC01–4. doi: 10.7860/JCDR/2016/16315.7189.. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Li M, Eastman CJ. Neonatal TSH screening: is it a sensitive and reliable tool for monitoring iodine status in populations? Best Practice & Research Clinical Endocrinology & Metabolism. 2010;24(1):63–75. doi: 10.1016/j.beem.2009.08.007. [DOI] [PubMed] [Google Scholar]
- 6.Saleh DS, Lawrence S, Geraghty MT, Gallego PH, McAssey K, Wherrett DK, et al. Prediction of congenital hypothyroidism based on initial screening thyroid-stimulating-hormone. BMC pediatrics. 2016;16(1):24. doi: 10.1186/s12887-016-0559-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Dorreh F, Yousefi P, Javaheri J, Eshrati B, Amiri Z. Evaluation of 6 years performance of screening program of congenital Hypothyroidism in Markazi Province (2012–2006) Arak Medical University Journal. 2013;16(8):39–45. [Google Scholar]
- 8.Namakin K, Sedighi E, Sharifzadeh G, Zardast M. Prevalence of congenital hypothyroidism In South Khorasan province (2006–2010) Journal of Birjand University of Medical Sciences. 2012;19(2):191–9. [Google Scholar]
- 9.Zeinalzadeh AH, Kousha A, Akhtari M, Talebi M. Screening for Congenital Hypothyroidism in East Azerbaijan province, IRAN. Journal of Kerman University of Medical Sciences. 2011;18(4):301–8. [Google Scholar]
- 10.Akha O, Shabani M, Kowsarian M, Ghafari V, Sajadi Saravi S. Prevalence of congenital hypothyroidism in Mazandaran Province, Iran, 2008. Journal of Mazandaran University of Medical Sciences. 2011;21(84):63–70. [Google Scholar]
- 11.Abedi M, Shahsavari S, Salehi R, Hedayati NS, Nasrollahi S, Sadeghi S, et al. The Study Of Prevalence And Risk Factors Of Hypothyroidism In Newborn Screening Program In Sanandaj City In 2009–2014. Zanko Journal of Medical Sciences. 2015;15(47):46–51. [Google Scholar]
- 12.Esmailnasab N, Moasses Ghaffari B, Afkhamzadeh A. Investigation of the risk factors for congenital hypothyroidism in the newborns in Kurdistan Province. Scientific Journal of Kurdistan University of Medical Sciences. 2012;17(4) [Google Scholar]
- 13.Dalili S, Rezvany SM, Medghalchi A, Mohammadi H, Dalili H, Mirzanejad M, et al. Congenital hypothyroidism: a review of the risk factors. Acta Medica Iranica. 2012;50(11):735. [PubMed] [Google Scholar]
- 14.Delavari AR, Yazdani Z. Laboratory protocol of neonatal thyroid screening. Tehran: Disease Control Center, Ministry of Health and Medical Education; 2004. [Google Scholar]
- 15.Anastasovska V. High incidence of congenital hypothyroidism in one region of the Republic of Macedonia. Balkan Journal of Medical Genetics. 2014;17(1):31–5. doi: 10.2478/bjmg-2014-0024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Medda E, Olivieri A, Stazi MA, Grandolfo ME, Fazzini C, Baserga M, et al. Risk factors for congenital hypothyroidism: results of a population case-control study (1997–2003) European Journal of Endocrinology. 2005;153(6):765–73. doi: 10.1530/eje.1.02048. [DOI] [PubMed] [Google Scholar]
- 17.Rezaeian S, Moghimbeigi A, Esmailnasab N. Gender differences in risk factors of congenital hypothyroidism: an interaction hypothesis examination. Int J Endocrinol Metab. 2014;12(2):e13946. doi: 10.5812/IJEM.13946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ebadi SA, Afshar M. Epidemiology of hypothyroidism in Gilan. Feyz. 2004;8(3):30–5. [Google Scholar]
- 19.Rezaeian S, Poorolajal J, Moghimbegi A, Esmailnasab N. Risk factors of congenital hypothyroidism using propensity score: a matched case-control study. J Res Health Sci. 2013;13(2):151–6. [PubMed] [Google Scholar]
- 20.Khalafi A, Jafarisani M, Alizadeh H, Hasanzadeh M, Jafarisani A, Kameli M, et al. Screening of congenital hypothyroidism in the Torbat-E-Heydariyeh in 1390. Journal of Torbat Heydariyeh University of Medical Sciences. 2014;1(4):40–5. [Google Scholar]
- 21.Harris KB, Pass KA. Increase in congenital hypothyroidism in New York State and in the United States. Molecular genetics and metabolism. 2007;91(3):268–77. doi: 10.1016/j.ymgme.2007.03.012. [DOI] [PubMed] [Google Scholar]
- 22.Hamamy H, Antonarakis SE, Cavalli-Sforza LL, Temtamy S, Romeo G, Ten Kate LP, et al. Consanguineous marriages, pearls and perils: Geneva international consanguinity workshop report. Genetics in Medicine. 2011;13(9):841–7. doi: 10.1097/GIM.0b013e318217477f. [DOI] [PubMed] [Google Scholar]
- 23.Valizadeh M, Mazloomzadeh S, Niksirat A, Shajari Z. High Incidence and Recall Rate of Congenital Hypothyroidism in Zanjan Province, a Health Problem or a Study Challenge? International Journal of Endocrinology and Metabolism. 2011;9(4):338–42. [Google Scholar]
- 24.Keshavarzian E, Valipoor AA, Maracy MR. The incidence of congenital hypothyroidism and its determinants from 2012 to 2014 in Shadegan, Iran: a case-control study. Epidemiol Health. 2016;38:e2016021. doi: 10.4178/epih.e2016021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hasani N, Dehghan B, Amini M, Heidari K, Sajadi A, Ajami A, et al. Congenital hypothyroidism; is there any familial component? Journal of Isfahan Medical School. 2009;27(94):134–41. [Google Scholar]
- 26.Dalili S, Rezvani SM, Dalili H, Amiri ZM, Mohammadi H, Kesh SA, et al. Congenital hypothyroidism: etiology and growth-development outcome. Acta Med Iran. 2014;52(10):752–6. [PubMed] [Google Scholar]
- 27.Eftekhari N, Asadikaram Gh, Khaksari M, Salari Z. The prevalence rate of congenital hypothyroidism in Kerman/Iran in 2005–2007. Journal of Kerman University of Medical Sciences. 2015.
- 28.Razi S, VaziriNejad R, Rezaeian M, Sheikh Fathollahi M, Manshouri A, Goujani R, et al. Survey of Birth Weight in Newborns among Mothers with and Without a Common Underlying Disease in Rafsanjan Niknafs Maternity in 2011–2012. JRUMS. 2014;13(4):323–38. [Google Scholar]
- 29.Pearce MS, Korada M, Day J, Turner S, Allison D, Kibirige M, et al. Increasing incidence, but lack of seasonality, of elevated TSH levels, on newborn screening, in the North of England. Journal of thyroid research. 2010. p. 2010. [DOI] [PMC free article] [PubMed]
- 30.Hashemipour M, Amini M, Kelishadi R, Hovsepian S, Haghighi S, Hosseini M, et al. Seasonal variation in the incidence of congenital hypothyroidism in Isfahan, Iran. Saudi Med J. 2007;28(10):1582. [PubMed] [Google Scholar]
- 31.Gu YH, Kato T, Harada S, Inomata H, Saito T, Aoki K. Seasonality in the incidence of congenital hypothyroidism in Japan: gender-specific patterns and correlation with temperature. Thyroid. 2007;17(9):869–74. doi: 10.1089/THY.2006.0317. [DOI] [PubMed] [Google Scholar]
- 32.Ordookhani A, Padyab M, Goldasteh A, Mirmiran P, Richter J, Azizi F. Seasonal variation of neonatal transient hyperthyrotropinemia in Tehran province, 1998–2005. Chronobiology international. 2010;27(9–10):1854–69. doi: 10.3109/07420528.2010.516046. [DOI] [PubMed] [Google Scholar]
- 33.Mohammadi E, Baneshi MR, Nakhaee N. The Incidence of Congenital Hypothyroidism in Areas Covered by Kerman and Jiroft. Universities of Medical Sciences; Iran: 2012. [Google Scholar]
- 34.Asadi Karam G, Aminzadeh F, Sheikh Fathollahi S, Masoud Pour N, Reyahi B, Yusefnia N, et al. High recall rate in the screening program for congenital hypothyroidism in Rafsanjan. Iranian journal of Endocrinology and Metabolism. 2004;6(1):21–6. [Google Scholar]
