Skip to main content

Advertisement

Log in

Comparison of mandibular cortical bone among obese, overweight, and normal weight adolescents using panoramic mandibular index and mental index

  • Original Article
  • Published:
Clinical Oral Investigations Aims and scope Submit manuscript

Abstract

Objective

The objective of this study is to evaluate the mental index (MI) and panoramic mandibular index (PMI) of a group of adolescent patients in different body mass index (BMI) percentile.

Material and methods

Subjects were divided into three different groups in accordance to their BMI percentile status: normal weight (35 subjects; mean age, 14.81 ± 2.12 years), overweight (32 subjects; mean age, 14.77 ± 2.56 years), and obese (33 subjects; mean age, 14.06 ± 2.59 years) groups. Mental index (MI) and panoramic mandibular index (PMI) were assessed on panoramic radiographs.

Results

There were statistically significant differences in PMI and MI that were observed among groups (p < 0.0001 and p < 0.001, respectivel). MI and PMI are higher in overweight and obese individuals than in normal-weight.

Conclusions

Mandibular cortex was found thicker in patients who are obese and overweight compared to normal weight patients. We can suggest that young obese individuals’ bone structure can be take in consideration in orthodontic or dental surgical treatment planning.

Clinical relevance

Dense cortical bone may cause some difficulties in orthodontic and surgical treatment. Clinicians should understand obesity and overweight-related jaw bone changes and consider these factors to treat their patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Choudhary K, Mathur P, Garg M, Gupta PP (2017) Prevalence of overweight and obesity amongst adolescents and identification of risk factors. Int J Contemp Pediatr 4:1153

    Article  Google Scholar 

  2. Skinner AC, Perrin EM, Skelton JA (2016) Prevalence of obesity and severe obesity in US children, 1999-2014. Obesity. 24:1116–1123

    Article  Google Scholar 

  3. Ayatollahi SM, Ghoreshizadeh Z (2010) Prevalence of obesity and overweight among adults in Iran. Obes Rev 11:335–337

    Article  Google Scholar 

  4. Dyer SM, Gomersall JS, Smithers LG, Davy C, Coleman DT, Street JM (2017) Prevalence and characteristics of overweight and obesity in indigenous Australian children: a systematic review. Crit Rev Food Sci Nutr Taylor & Francis 57:1365–1376

    Article  Google Scholar 

  5. WHO (2000) Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser 894:1–253

    Google Scholar 

  6. Palermo A, Tuccinardi D, Defeudis G, Watanabe M, D’Onofrio L, Lauria Pantano A et al (2016) BMI and BMD: the potential interplay between obesity and bone fragility. Int J Environ Res Public Health 13:544

    Article  Google Scholar 

  7. Neeley WW, Dolce C, Hatch JP, Van Sickels JE, Rugh JD (2009) Relationship of body mass index to stability of mandibular advancement surgery with rigid fixation. Am J Orthod Dentofac Orthop American Association of Orthodontists 136:175–184

    Article  Google Scholar 

  8. López-Gómez JJ, Pérez Castrillón JL, de Luis Román DA (2016) Impact of obesity on bone metabolism. Endocrinol y Nutr English Ed Elsevier Doyma 63:551–559

    Google Scholar 

  9. Fischer S, Milinarsky A, Giadrosich V, Dib G, Arriagada M, Arinoviche R (2000) X-ray absorptiometry of bone obese and eutrophic children from Valparaiso. Chile J Rheumatol 27:1294–1296

    PubMed  Google Scholar 

  10. Correa Rodríguez M, Rueda Medina B, González Jiménez E, Navarro Pérez CF, Schmidt-RioValle J (2014) The levels of bone mineralization are influenced by body composition in children and adolescents. Nutr Hosp 30:763–768

    PubMed  Google Scholar 

  11. Jeddi M, Dabbaghmanesh MH, Ranjbar Omrani G, Ayatollahi SMT, Bagheri Z, Bakhshayeshkaram M (2015) Relative importance of lean and fat mass on bone mineral density in Iranian children and adolescents. Int J Endocrinol Metab Kowsar Medical Institute 13:e25542

    Google Scholar 

  12. Wetzsteon RJ, Petit MA, Macdonald HM, Hughes JM, Beck TJ, McKay HA (2008) Bone structure and volumetric BMD in overweight children: a longitudinal study. J Bone Miner Res 23:1946–1953

    Article  Google Scholar 

  13. van Leeuwen J, Koes BWW, Paulis WDD, van Middelkoop M (2017) Differences in bone mineral density between normal-weight children and children with overweight and obesity: a systematic review and meta-analysis. Obes Rev 18:526–546

    Article  Google Scholar 

  14. Scheiner S, Hellmich C, Müller C, Bonitz L, Kober C (2015) X-ray physics- and bone composition-based estimation of thickness characteristics from clinical mandibular radiographs. Comput Med Imaging Graph 45:36–46

    Article  Google Scholar 

  15. Ledgerton D, Horner K, Devlin H, Worthington H (1997) Panoramic mandibular index as a radiomorphometric tool: an assessment of precision. Dentomaxillofacial Radiol 26:95–100

    Article  Google Scholar 

  16. Muramatsu C, Horiba K, Hayashi T, Fukui T, Hara T, Katsumata A et al (2016) Quantitative assessment of mandibular cortical erosion on dental panoramic radiographs for screening osteoporosis. Int J Comput Assist Radiol Surg 11:2021–2032

    Article  Google Scholar 

  17. Kwon A, Huh K, Yi W, Lee S, Choi S, Heo M (2017) Is the panoramic mandibular index useful for bone quality evaluation ? Imaging Sci Dent 47:87–92

    Article  Google Scholar 

  18. Ducher G, Bass SL, Naughton GA, Eser P, Telford RD, Daly RM (2009) Overweight children have a greater proportion of fat mass relative to muscle mass in the upper limbs than in the lower limbs: implications for bone strength at the distal forearm. Am J Clin Nutr 90:1104–1111

    Article  Google Scholar 

  19. Kemp JP, Sayers A, Smith GD, Tobias JH, Evans DM (2016) Using Mendelian randomization to investigate a possible causal relationship between adiposity and increased bone mineral density at different skeletal sites in children. Int J Epidemiol 45:1560–1572

    Article  Google Scholar 

  20. Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, Flegal KM, Guo SS, Wei R et al (2000) CDC growth charts: United States. Adv Data 314:1–27

    Google Scholar 

  21. Benson BW, Prihoda TJ, Glass BJ (1991) Variations in adult cortical bone mass as measured by a panoramic mandibular index. Oral Surgery, Oral Med. Oral Pathol 71:349–356

    Article  Google Scholar 

  22. Kim CH (2016) Measurements of adiposity and body composition. Korean J Obes 25:115–120

    Article  Google Scholar 

  23. Yeler DY, Koraltan M, Hocaoglu TP, Arslan C, Erselcan T, Yeler H (2016) Bone quality and quantity measurement techniques in dentistry. Cumhur Dent J:73–86

  24. Gausden EB, Nwachukwu BU, Schreiber JJ, Lorich DG, Lane JM (2017) Opportunistic use of CT imaging for osteoporosis screening and bone density assessment. J Bone Jt Surg [Internet] 99:1580–1590 Available from: http://insights.ovid.com/crossref?an = 00004623-201709200-00011

    Article  Google Scholar 

  25. da Silva CMJ (2014) Bone mineral density in cone beam computed tomography: only a few shades of gray. World J Radiol [Internet] 6:607 Available from: http://www.wjgnet.com/1949-8470/full/v6/i8/607.htm

    Article  Google Scholar 

  26. Kim D (2014) Can dental cone beam computed tomography assess bone mineral density? J Bone Metab [Internet] 21:117 Available from: https://synapse.koreamed.org/DOIx.php?id = 10.11005/jbm.2014.21.2.117

    Article  Google Scholar 

  27. Molteni R (2013) Prospects and challenges of rendering tissue density in Hounsfield units for cone beam computed tomography. Oral Surg. Oral Med. Oral Pathol, Oral Radiol 116:105–19

  28. Guerra ENS, Almeida FT, Bezerra FV, Figueiredo PTDS, Silva MAG, De Luca CG et al (2017) Capability of CBCT to identify patients with low bone mineral density: a systematic review. Dentomaxillofacial Radiol 46:20160475

  29. Tözüm TF, Dursun E, Uysal S (2016) Radiographic fractal and clinical resonance frequency analyses of posterior mandibular dental implants. Implant Dent 25:789–795

    Article  Google Scholar 

  30. Jowitt N, MacFarlane T, Devlin H, Klemetti E, Homer K (1999) The reproducibility of the mandibular cortical index. Dentomaxillofacial Radiol 28:141–144

    Article  Google Scholar 

  31. Bozdag G, Sener S (2015) The evaluation of MCI, MI, PMI and GT on both genders with different age and dental status. Dentomaxillofacial Radiol 44:20140435

    Article  Google Scholar 

  32. Lenchik L, Register TC, Hsu FC, Lohman K, Nicklas BJ, Freedman BI, Langefeld CD, Carr JJ, Bowden DW (2003) Adiponectin as a novel determinant of bone mineral density and visceral fat. Bone 33:646–651

    Article  Google Scholar 

  33. Dimitri P, Jacques RM, Paggiosi M, King D, Walsh J, Taylor ZA et al (2015) Leptin may play a role in bone microstructural alterations in obese children. J Clin Endocrinol Metab 100:594–602

    Article  Google Scholar 

  34. Kalervo Väänänen H, Härkönen PL (1996) Estrogen and bone metabolism. Maturitas [Internet] 23:S65–S69 Available from: https://linkinghub.elsevier.com/retrieve/pii/0378512296010158

    Article  Google Scholar 

  35. Kershaw EE, Flier JS (2004) Adipose tissue as an endocrine organ. J Clin Endocrinol Metab [Internet] 89:2548–2556 Available from: https://academic.oup.com/jcem/article-lookup/doi/10.1210/jc.2004-0395

    Article  Google Scholar 

  36. Jonasson G, Bankvall G, Kiliaridis S (2001) Estimation of skeletal bone mineral density by means of the trabecular pattern of the alveolar bone, its interdental thickness, and the bone mass of the mandible. Oral Surg. Oral Med Oral Pathol Oral Radiol Endod 92:346–352

    Article  Google Scholar 

  37. Manzoni P, Brambilla P, Pietrobelli A, Beccaria L, Bianchessi A, Mora S et al (1996) Influence of body composition on bone mineral content in children and adolescents. Am J Clin Nutr 64:603–607

    Article  Google Scholar 

  38. Bridges T, King G, Mohammed A (1988) The effect of age on tooth movement and mineral density in the alveolar tissues of the rat. Am J Orthod Dentofac Orthop Mosby 93:245–250

    Article  Google Scholar 

  39. von Bremen J, Lorenz N, Ruf S (2016) Impact of body mass index on oral health during orthodontic treatment: an explorative pilot study. Eur J Orthod [Internet] 38:386–392 Available from: https://academic.oup.com/ejo/article-lookup/doi/10.1093/ejo/cjv074

    Article  Google Scholar 

  40. Rothe LE, Bollen AM, Little RM, Herring SW, Chaison JB, Chen CSK et al (2006) Trabecular and cortical bone as risk factors for orthodontic relapse. Am J Orthod Dentofac Orthop 130:476–484

    Article  Google Scholar 

  41. Saloom HF, Papageorgiou SN, Carpenter GH, Cobourne MT (2017) Impact of obesity on orthodontic tooth movement in adolescents: a prospective clinical cohort study. J Dent Res 96:547–554

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yasin Yasa.

Ethics declarations

Conflict of interest

Author Yasin YASA declares that he has no conflict of interest. Author Süleyman Kutalmış Büyük declares that he has no conflict of interest. Author Esra Genç declares that he has no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yasa, Y., Buyuk, S.K. & Genc, E. Comparison of mandibular cortical bone among obese, overweight, and normal weight adolescents using panoramic mandibular index and mental index. Clin Oral Invest 24, 2919–2924 (2020). https://doi.org/10.1007/s00784-019-03158-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00784-019-03158-7

Keywords

Navigation