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Year : 2018  |  Volume : 8  |  Issue : 2  |  Page : 153-159
Estimation of dental and bone age in obese children of south India

1 Department of Orthodontics, PSM College of Dental Sciences and Research, Trichur, India
2 Department of Pedodontics and Preventive Dentistry, Navodaya Dental College and Hospital, Raichur, Karnataka, India
3 Department of Orthodontics, Educare Institute of Dental Science, Malappuram, India
4 Department of Public Health Dentistry, MES Dental College, Perinthalmanna, Kerala, India

Date of Submission09-Jan-2018
Date of Acceptance09-Feb-2018
Date of Web Publication24-Apr-2018

Correspondence Address:
Dr. Vinod Kumar
Professor and Head, Department of Pedodontics and Preventive Dentistry, Navodaya Dental College and Hospital, Raichur 584103, Karnataka
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jispcd.JISPCD_14_18

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Aim: Determination of skeletal and dental age is very essential for Pediatric dentist and orthodontist to formulate a treatment plan, and it is a source of supplemental information for Pediatrics, Orthopedics, and Forensics. There are no available studies in the literature about the comparison of dental and bone age with chronological age in obese children of south India. Accordingly, the aim of this study was to evaluate and compare dental age, bone age, and chronological age in obese children of south India.
Materials and Methods: Ethical approval was obtained from the ethical committee of college, and informed consent was obtained from parents of the study participants. A total of 100 obese study participants were selected between 8 to 14 years age group. Date of birth was considered to obtain chronological age. Demirjian's method was used to assess dental age. Bjork, Grave, and Brown's method was followed to detect bone age using hand-wrist radiograph. The comparison of three ages was done using the unpaired Student's t-test and Pearson's correlation coefficient.
Results: Dental age and bone age were advanced in comparison to chronological age in both sexes and its statistically significant (P < 0.001). There was a positive correlationship between three ages in both sexes.
Conclusion: As per our study, dental age and bone age were advanced in obese children, but dental age was more advanced. Dental age and bone age can be considered as variables for diagnosing the impact of growth in obese children. In the future, further studies are required to support our findings.

Keywords: Bone age, Demirjian's method, dental age

How to cite this article:
Varghese ST, Kumar V, Paul S, Jose LK, Mathew T, Siddique S. Estimation of dental and bone age in obese children of south India. J Int Soc Prevent Communit Dent 2018;8:153-9

How to cite this URL:
Varghese ST, Kumar V, Paul S, Jose LK, Mathew T, Siddique S. Estimation of dental and bone age in obese children of south India. J Int Soc Prevent Communit Dent [serial online] 2018 [cited 2022 Jul 5];8:153-9. Available from: https://www.jispcd.org/text.asp?2018/8/2/153/230909

   Introduction Top

Growth is an important phase in the childhood which separates him or her from the adult. Growth begins from birth till child matures into adulthood.[1]

Various factors are responsible for growth such as genetics, nutrition, environment, gender, social, emotional, and culture.[2] The prevalence of overweight and obesity has been increasing markedly in recent years in developing and developed nations. It may influence growth in prepubertal children.[3]

Obesity and underweight are calculated using the body mass index (BMI). BMI is calculated diving weight in kg by the square of height in meters. BMI = weight in kg/(height in meters).2 A BMI <5th percentile is considered as underweight and above the 95th percentile is considered as obese.[4],[5]

Bone age is different from chronological age, and its a measure of the physiological development of an individual.[1]

The appearance and union of the various skeletal ossification centers follows a fairly orderly pattern and time schedule from birth to maturity. A roentgenographic study of these skeletal maturational processes provides a valuable criterion of the child's level of osseous maturation. Maturation of skeletal centers of the individual is recognized as bone age.[2]

Teeth development and eruption are part of the total development of the child and its useful count of maturity. Dental age depends on the amount of tooth bud development and mineralization and their pattern of the proper eruption as per eruption schedule. Tooth mineralization is a better evaluation of physiologic maturity of an individual compare to tooth eruption, and tooth mineralization is an uninterrupted process of development. Many methods are in use to evaluate dental age based on calcification rate of permanent teeth. Demirjian, Goldstein, and Tanner method is extensively used to assess dental age.[6]

An accurate understanding of skeletal growth pattern of maxilla and mandible is essential for the timely intervention of growth deformities in craniofacial complex.

Dental maturation broadens the thinking related to clinical judgment in treatment planning for dental deformities and orthodontic problems.[7]

Detection of dental and bone age is valuable for the dentist to formulate a proper treatment plan and its also useful as supplemental information for the pediatricians, hematology, forensics, and anthropology.[8]

There is paucity in the dental literature about the impact of obesity on bone and dental maturation in children of South India.

Hence, this research was undertaken to detect and compare bone age, dental age and chronological age in South Indian obese children.

   Materials and Methods Top

This was a cross-sectional study. The study period was from July 12, 2017 to December 12, 2017. The source of data was from the out patients of the department of Pedodontics and Preventive Dentistry. The children were randomly selected according to the inclusion criteria based on international standards. The children who are obese irrespective of any disease associated with obesity were selected for the study. The study sample included 100 obese children out of that 63 were males, and 37 were females between the ages of 8–14 years.

Ethical clearance was obtained from the Institutional Ethical Committee (Letter No: NDC/RCR-IEC/2017-18/080/1). Written informed consent was acquired from the parent of study participants and study objective was explained to parents of the study participants.

Armamentarium included as follows: orthopantomograms (OPG), hand-wrist radiographs, X-ray viewer, Stadiometer, weighing machine, and BMI percentile charts.

Selection of the study subject: height of the child was measured using stadiometer to the nearest of 0.1cm, and the height in centimeter was converted into meters. Weight was measured using the weighing machine to the nearest of 0.1 kg. The BMI of the child was calculated using the formula BMI = Weight in Kgs/(height in meters).2

The obtained BMI was compared with BMI percentile charts for particular age and sex. If the BMI of particular child based on age and sex was more than 95th percentile than he/she was considered as an obese child and such child was included in the study.[4],[5]

Chronological age was detected using school birth date records or statement obtained from parents regarding the date of birth of their child.

Hand-wrist radiographs and OPG was obtained from the study participants to detect dental and bone age. Interpretation of the radiograph was done using X-ray viewer.

Dental age estimation

Dental age was evaluated depending on the amount of tooth calcification. As per Demirjian's method, total 7 mandibular left permanent teeth (excluding the 3rd molar) was examined to know their rate of calcification. If any tooth was missing out of 7 teeth than contralateral tooth was taken into consideration.

Tooth mineralization was split into eight stages by Demirjian [9],[10], and the stages are as follows [Figure 1]: stage A-start of mineralization on cusp tips, stage B-union of mineralized cusps, stage C-appearance of dentinal deposits, stage D-crown, is formed up to cementoenamel junction, stage E-root formed but less than crown, stage F-root formed but equal or more than crown, stage G-root completely formed but apical foramen is open, stage H-root fully formed and apical foramen is closed.
Figure 1: Demirjians tooth calcification stages

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Among 7 mandibular left permanent teeth, each tooth has been designated with fixed score depending on its calcification stage [Table 1] and [Table 2]. The total scores of 7 teeth were taken as maturity score, which will be transformed into dental age following conversion chart [Table 3] and [Table 4].
Table 1: Self-weighted scores of dental stages of 7 teeth (mandibular left side) in boys

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Table 2: Self-weighted scores of dental stages of 7 teeth (mandibular left side) in girls

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Table 3: Conversion chart for boys to convert maturity score into dental age

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Table 4: Conversion chart for Girls to convert maturity score into dental age

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The procedure of dental age detection:

  • OPG [Figure 2] was observed in X-ray viewer, and calcification stage of each tooth from central incisor to permanent 2nd molar were determined as per Demirjian's method [Figure 1]
  • After determining the developmental stage of each tooth, the score for that particular development stage was obtained using the score table [Table 1] and [Table 2]. All developmental score values of 7 teeth were added and total score value thus obtained was recognized as complete dental maturation score which was transformed into dental age following conversion chart [Table 3] and [Table 4].

Maturity score = developmental scores of 31 + 32 + 33 + 34 + 35 + 36 + 37
Figure 2: Orthopantomogram

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  • 31: Left Mandibular central incisor
  • 32: Left Mandibular lateral incisor
  • 33: Left Mandibular canine
  • 34: Left Mandibular 1 premolar
  • 35: Left Mandibular 2nd premolar
  • 36: Left Mandibular 1st molar
  • 37: Left Mandibular 2nd molar.

Bone age assessment

Bjork, Grave, and Brown's method was considered in our study to determine bone age using hand-wrist radiograph.[11] In this method, hand-wrist bone maturity was split into 9 developmental stages. Each of the stage has been given an appropriate skeletal age by Schopf in 1978.

Method of bone age assessment

Maturation of hand-wrist bones was assessed observing hand-wrist radiographs under X-ray viewer [Figure 3]. The hand-wrist bones maturity which matches with the particular developmental stage of Bjork, Grave, and Brown's method was considered as skeletal development stage of an individual. The particular age was recorded for that skeletal development which was noted as the bone age of an individual.
Figure 3: Hand-wrist radiograph

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Unpaired Student's t-test and Pearson's correlation were done to compare three ages.

   Results Top

The results observed in the study sample are as follows:


Comparison of three ages [Table 5] and [Table 6]
Table 5: Mean chronological age, dental age and bone age of females and males

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Table 6: Comparison of chronological age, dental age and bone age in males

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  • Chronological age was decreased in relation to dental age by 1.46 years
  • Chronological age was lagging beyond bone age by 0.76 years.
  • Dental age was ahead of bone age by 0.70 years [Table 5] and [Table 6].

Correlation between 3 ages [Table 7]
Table 7: Correlation between chronological age, dental age and bone age in males

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  • The positive correlation was observed between chronological and dental age which was significant.(r = 0.597)
  • The positive correlation was obtained between chronological and bone age which was significant. (r = 0.511)
  • The positive correlation was found between dental age and bone age which was significant. (r = 0.522) [Table 7].

In females:

Comparison of 3 ages [Table 5] and [Table 8]
Table 8: Comparison of chronological, dental age and bone age in females

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  • Chronological age was behind dental age by 1.61 years
  • Bone age was ahead of Chronological age by 0.99 years
  • Bone age was reduced compare to dental age by 0.62 years.

Correlation between 3 ages [Table 9]
Table 9: Correlation between chronological age, dental age and bone age in females

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  • There was a positive correlation between chronological and dental age which was significant (r = 0.635)
  • Significant positive correlation was found between chronological and bone age (r = 0.614)
  • Our observation revealed a positive correlation between dental and bone age which was significant (r = 0.568).

   Discussion Top

Obesity in childhood is increasing at an alarming rate. Obesity has emerged as one of the global health problems with 200 million school children worldwide categorized as being overweight/obese, of which 40–50 million are obese.[12] Various studies carried out in India from 2002 to 2012 indicate a rising trend in the prevalence of overweight and obesity in children and adolescents.[13],[14],[15],[16],[17] Ranjani et al. reviewed the data about the childhood obesity reported in India from 1981 to 2013. The review included 52 studies done in 16 states of India. As per the data reviewed, they found that the prevalence of childhood obesity was more after 2010 onward which was 19.3% compared to 16.3% reported from 2001 to 2005.[18]

Dental age estimation and bone age estimation are useful to compare with chronological age to assess the overall growth of various tissue systems, especially in children with underweight, normal weight, and obesity. Various studies have been carried out to assess the determination of bone and dental maturation. Many procedures are in use to detect bone and dental age. In our study, hand-wrist radiograph was used to study bone maturation. Greulich and Pyle [19] have expressed that hand wrist radiographic study is the convenient method to detect bone age.

Bjork, Grave, and Brown method was used in our study to determine bone maturation.

Iguma and Tavanocompared Bjork, Grave, and Brown method and Martins and Sakima methods, they found that both methods are valuable in the study of a hand-wrist radiograph for the detection of bone age.[20]

Demirjian's method was applied to assess dental age in our study. Three separate procedures have been evaluated by Hagg and Matsson for determination of dental age, and they found that Demirjian's procedure affords a high degree of reliability and precision.[21]

Wolf et al. proved that Demirjian's method is appropriate for dental age estimation.[22] Demirjian's method offers accurate dental age estimation on Indian people as per the research findings of the Nanda and Chawla [23] and Hegde and Sood.[7]

Our study findings confirmed that chronological age was lagging behind the bone age and dental age in a sample of 100 obese children. In this study, dental and bone maturation was advanced with respect to the chronological age in 100 obese children. Mack et al. investigated about the relationship between BMI percentile and skeletal and dental maturity in adolescent orthodontic patients between the ages of 8–17 years and found that skeletal and dental ages were ahead of chronological age in obese children.[24]

Hedayati and Khalafinejadstudied about the association of BMI percentile with skeletal and dental maturation in 6–15-year-old orthodontic patients and they found that obese children had accelerated dental and skeletal development and dental development was statistically significant compared to skeletal development.[3]

Hilgers et al. carried out research to detect dental maturation with 63 normal weight children, 23 overweight children and 18 obese children and they observed that dental development was advanced in obese children compared to normal and overweight children.[25]

Chehab et al. studied dental age in 265 average weight, overweight, and obese children between 6 and 12 years age group of Hispanic children and they found that children with overweight and obesity had a statistically significant increase in dental development compared to average weight children.[26]

Guica et al. compared skeletal development in 25 obese and 25 normal children and observed that obese children exhibited significantly higher skeletal maturation compared to normal children.[27]

Moreover, in our findings, girls exhibited a statistically more significant increase in dental and bone development. Moreover, in our findings, dental maturation was faster than bone maturation in both sexes. These findings are in agreement with the Hedayati, and Khalafinejadwho have shown that girls exhibited higher advancement in dental and bone development and dental maturation was much faster when compared to bone maturation.[3] Akridge et al.[28] and Basaran et al.[29] also revealed that girls exhibited higher bone maturation compared to boys. Yadav et al. evaluated dental calcification stages and skeletal maturity in 120 participants and he found that skeletal age in females was advanced compared to males.[30] Macha et al. also found that females attained dental and bone maturation faster than males.[31]

As per our findings in both the sexes, the three ages are positively correlated. The positive correlations have also been found in the studies done by Vallejo-Bolanos and Espana-Lopez,[8] Green,[2] Hedge and Sood,[7] Prabhakar et al.,[6] Litsas and Lucchese,[32] Palaniswamy et al.,[33] and Nagaraju et al.[34]

Similarly, numerous investigations carried out in the past have established the positive correlation ship between various maturity indicators of the body.

Limitations of the study:

  • Uneven distribution of sample
  • Limited size of sample
  • Geographical variation with previous studies.

   Conclusion Top

An important observation in the present research was the accelerated bone and dental maturation with respect to chronological age in 100 study participants with obesity. Dental age and bone age estimation as against chronological age was significant to know the overall maturation of various tissues in a body of an individual and its important in Orthodontics and Pedodontics to formulate treatment plan and its supplemental information in the field of Orthopedics, Forensics, Hematology, Pediatrics, and Anthropology.

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Conflicts of interest

There are no conflicts of interest.

   References Top

Ghai OP, Gupta P, Paul VK. GHAI Essential Pediatrics. 6th ed. New Delhi: CBS Publisher; 2004.  Back to cited text no. 1
Green LJ. The Interrelationships among height, weight and chronological, dental and skeletal ages. Angle Orthod 1961;31:189-93.  Back to cited text no. 2
Hedayati Z, Khalafinejad F. Relationship between body mass index, skeletal maturation and dental development in 6- to 15- year old orthodontic patients in a sample of Iranian population. J Dent (Shiraz) 2014;15:180-6.  Back to cited text no. 3
National Centre for Health Statistics in Collaboration with National Center for Chronic Disease Prevention and Health Promotion. Available from: https://www.cdc.gov/growthcharts/index.htm.[Last accessed on 2010 Sep 9].  Back to cited text no. 4
Body Mass Index. Available from: https://en.wikipedia.org/wiki/Body_Mass_Index. [Last accessed on 2017 March 11]  Back to cited text no. 5
Prabhakar AR, Panda AK, Raju OS. Applicability of Demirjian's method of age assessment in children of Davangere. J Indian Soc Pedod Prev 2002;20: 54-62.  Back to cited text no. 6
Hegde RJ, Sood PB. Dental maturity as an indicator of chronological age: Radiographic evaluation of dental age in 6 to 13 years children of Belgaum using Demirjian methods. J Indian Soc Pedod Prev Dent 2002;20:132-8.  Back to cited text no. 7
Vallejo-Bolanos E, Espana-Lopez AJ. The relationship between dental age, bone age and chronological age in 54 children with short familial stature. Int J Pediatr Dent 1997;7:15-7.  Back to cited text no. 8
Demirjian A, Goldstein H, Tanner JM. A new system of dental age assessment. Hum Biol 1973;45:211-27.  Back to cited text no. 9
Moze K, Roberts G. Dental age assessment (DAA) of Afro-Trinidadian children and adolescents. Development of a Reference Dataset (RDS) and comparison with Caucasians resident in London, UK. J Forensic Leg Med 2012;19:272-9.  Back to cited text no. 10
Bhalaji SI. Skeletal maturity indicators. Orthodontics: The Art and Science. 3rd ed. New Delhi: Arya (Medi) Publishing House; 2003. p. 161-9.  Back to cited text no. 11
Jagadesan S, Harish R, Miranda P, Unnikrishnan R, Anjana RM, Mohan V, et al. Prevalence of overweight and obesity among school children and adolescents in Chennai. Indian Pediatr 2014;51:544-9.  Back to cited text no. 12
Ramachandran A, Snehalatha C, Vanitha R, Thayyil M, Kumar CK, Sheeba L, et al. Prevalence of overweight in urban Indian adolescent school children. Diabetes Res Clin Pract 2002;57:185-90.  Back to cited text no. 13
Chatterjee P. India sees parallel rise in malnutrition and obesity. Lancet 2002;360:1948.  Back to cited text no. 14
Chakraborty P, Dey S, Pal R, Kar S, Zaman FA, Pal S. Obesity in Kolkata children: Magnitude in relationship to hypertension. J Nat Sci Biol Med 2012;2:101-6.  Back to cited text no. 15
Khadilkar VV, Khadilkar AV, Cole TJ, Chiplonkar SA, Pandit D. Overweight and obesity prevalence and body mass index trends in Indian children. Int J Pediatr Obes 2011;6:e216-24.  Back to cited text no. 16
Mohan B, Kumar N, Aslam N, Rangbulla A, Kumbkarni S, Sood NK, et al. Prevalence of sustained hypertension and obesity in urban and rural school going children in Ludhiana. Indian Heart J 2004;56:310-4.  Back to cited text no. 17
Ranjani H, Mehreen TS, Pradeepa R, Anjana RM, Garg R, Anand K, et al. Epidemiology of childhood overweight and obesity in India. A systematic review. Indian J Med Res 2016;143:160-74.  Back to cited text no. 18
[PUBMED]  [Full text]  
Greulich WW, Pyle SL. Radiographic Atlas of Skeletal Development of Hand and Wrist. 2nd ed. Stanford, CA: Stanford University Press; 1959.  Back to cited text no. 19
Iguma KE, Tavano O. Competitive analysis of pubertal growth spurt predictors – Martins and Sakima method and Grave and Brown method. J Appl Oral Sci 2005;13:132-7.  Back to cited text no. 20
Hägg U, Matsson L. Dental maturity as an indicator of chronological age: The accuracy and precision of three methods. Eur J Orthod 1985;7:25-34.  Back to cited text no. 21
Wolf TG, Briseno-Morroquin B, Callaway A, Patina M, Muller VT, Willershausen I, et al. Dental age assessment in 6-14 year old German children; comparison of Cameriere and Demirjians methods. BMC Oral Health 2016;16:28.  Back to cited text no. 22
Nanda RS, Chawla TN. Growth and development of dentitions in Indian children. I. Development of permanent teeth. Am J Orthod 1966;52:837-53.  Back to cited text no. 23
Mack KB, Philips C, Jain N, Koroluk LD. Relationship between body mass index percentile and skeletal maturation and dental development in orthodontic patients Am J Orthod Dentofacial Orthop 2013;143:228-34.  Back to cited text no. 24
Hilgers KK, Akridge M, Scheetz JP, Kinane DE. Childhood obesity and dental development. Pediatr Dent 2006;28:18.  Back to cited text no. 25
Chehab DA, Tanbonliong T, Peyser J, Udin R. Association between body mass index and dental age in Hispanic children. Gen Dent 2017;65:54-8.  Back to cited text no. 26
Guica MR, Pasini M, Tecca S, Marchetti E, Giannotti L, Marzo G. Skeletal maturation in obese patients. Am J Orthod Dentofacial Orthop 2012;142:774-9.  Back to cited text no. 27
Akridge M, Hilgers KK, Silveira AM, Scarfe W, Scheetz JP, Kinane DF. Childhood obesity and skeletal maturity assessed with Fishmans handwrist analysis. Am J Orthod Dentofacial Orthop 2007;132:185-90.  Back to cited text no. 28
Basaran G, Ozer T, Hamamci N. Cervical vertebral and dental maturity in Turkish subjects. Am J Orthod Dentofacial Orthop 2007;131:447e13-20.  Back to cited text no. 29
Yadav V, Loomba A, Autar R. A comparative evaluation of dental calcification stages and skeletal maturity indicators in North-Indian children. Natl J Maxillofac Surg 2017;8:26-33.  Back to cited text no. 30
[PUBMED]  [Full text]  
Macha M, Lamba B, Avula JSS, Muthineni S, Margana PGJS, Chitoori P, et al. Estimation of correlation between chronological age, skeletal age and dental age in children – A cross-sectional study. J Clin Diagn Res 2017;11:ZC01-4.  Back to cited text no. 31
Litsas G, Lucchese A. Dental and chronological ages as determinants of peak growth period and its relationship with dental calcification stages. Open Dent J 2016;10:99-108.  Back to cited text no. 32
Palaniswamy V, Rao A, Shenoy R, Baranya SS. Correlation of dental age, skeletal age and chronological age among children aged 9-14 years; a retrospective study. J Indian Soc Pedod Prev Dent 2016;34:310-4.  Back to cited text no. 33
Nagaraju K, Ravi SM, Sangeeta M, Swathi G, Jyothi S. Correlation between dental maturity index and skeletal maturation index with that of chronological age-A cross sectional study in Western U.P. Population. Indian J Contemp Dent 2017;5:23-9  Back to cited text no. 34


  [Figure 1], [Figure 2], [Figure 3]

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7], [Table 8], [Table 9]

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