Influence of body mass index on facial soft tissue morphology in growing non-obese children
Jazyk angličtina Země Anglie, Velká Británie Médium print
Typ dokumentu časopisecké články
PubMed
41065267
PubMed Central
PMC12509208
DOI
10.1093/ejo/cjaf069
PII: 8278795
Knihovny.cz E-zdroje
- Klíčová slova
- body mass index, craniofacial morphology, orthodontics,
- MeSH
- analýza hlavních komponent MeSH
- anatomická značka anatomie a histologie MeSH
- dítě MeSH
- fotogrammetrie metody MeSH
- index tělesné hmotnosti * MeSH
- kefalometrie metody MeSH
- lidé MeSH
- obličej * anatomie a histologie MeSH
- věkové faktory MeSH
- zobrazování trojrozměrné metody MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Recognizing the relationship between body mass index (BMI) and facial morphology is essential for orthodontic treatment planning, as children with higher BMI often display accelerated growth and larger pre-pubertal facial dimensions. This study explores the relationship between BMI and facial soft tissue morphology in a sample of growing non-obese children. METHODS: Facial soft tissues of 113 elementary school students [55 boys; mean age = 11.8 years, standard deviation (SD) = 1.9] were captured using three-dimensional stereophotogrammetry. BMI was calculated from measured height and weight. Geometric morphometric analysis was performed using 14 fixed landmarks and 400 semilandmarks, which were slid to minimize bending energy between individual meshes and the sample average, ensuring homology. Generalized Procrustes analysis and principal component analysis were conducted to evaluate facial size and shape. Multivariate multiple regression models were employed to assess the relationship between BMI, age, and facial characteristics. RESULTS: The cohort had an average height of 155 cm (SD = 11.8), weight of 46.5 kg (SD = 13.3) and BMI of 18.9 (SD = 3.4). No significant sexual dimorphism in facial dimensions was identified (P = .07). Four principal components (PCs) contributed over 5% of variance: PC1 (27.3%), PC2 (19.9%), PC3 (9.1%), and PC4 (6.1%). Neither BMI nor age showed a significant correlation with centroid size (a proxy for facial size; P = .209). Regression models using PC1-PC4 as outcome variables and BMI and age as predictors demonstrated no significant effect of these variables on facial shape (P > .05 across all models). The study primarily included children prior to their growth spurt. CONCLUSIONS: In non-obese, developing children, BMI, age, and sex were not significantly associated with facial size or shape. It means that BMI alone may not be a sufficient predictor of facial dimensions in children within this age and maturational range.
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Yousaf N, Hussein S, Sultani W. Estimation of BMI from facial images using semantic segmentation based region-aware pooling. Comput Biol Med 2021;133:104392. 10.1016/j.compbiomed.2021.104392 PubMed DOI
Güngör NK. Overweight and obesity in children and adolescents. J Clin Res Pediatr Endocrinol 2014;6:129–43. 10.4274/Jcrpe.1471 PubMed DOI PMC
Olszewska K, Ważna-Olszewska M, Dunin-Wilczyńska I. Obesity in children and adolescents—a new challenge in orthodontic practice. Dent Med Probl 2015;52:131–6.
De Leonibus C, Marcovecchio ML, Chiavaroli V et al. Timing of puberty and physical growth in obese children: a longitudinal study in boys and girls. Pediatr Obes 2014;9:292–9. 10.1111/j.2047-6310.2013.00176.x PubMed DOI
Hancock S, Carmack A, Kocher M et al. Influence of BMI percentile on craniofacial morphology and development in adolescents, part II: elevated BMI is associated with larger final facial dimensions. Eur J Orthod 2024;46:cjad043. 10.1093/ejo/cjad043 PubMed DOI PMC
Ferrario VF, Sforza C, Poggio CE et al. Soft-tissue facial morphometry from 6 years to adulthood: a three-dimensional growth study using a new modeling. Plast Reconstr Surg 1999;103:768–78. 10.1097/00006534-199903000-00002 PubMed DOI
Koudelová J, Dupej J, Brůžek J et al. Modelling of facial growth in Czech children based on longitudinal data: age progression from 12 to 15 years using 3D surface models. Forensic Sci Int 2015;248:33–40. 10.1016/j.forsciint.2014.12.005 PubMed DOI
Katsadouris A, Halazonetis DJ. Geometric morphometric analysis of craniofacial growth between the ages of 12 and 14 in normal humans. Eur J Orthod 2017;39:386–394. 10.1093/ejo/cjw070 PubMed DOI
Brons S, Van Beusichem ME, Bronkhorst EM et al. Methods to quantify soft-tissue based facial growth and treatment outcomes in children: a systematic review. PLoS One 2012;7:e41898. 10.1371/journal.pone.0041898 PubMed DOI PMC
Ainuz BY, Hallac RR, Kane AA. Longitudinal composite 3D faces and facial growth trends in children 6–11 years of age using 3D cephalometric surface imaging. Ann Hum Biol 2021;48:540–9. 10.1080/03014460.2021.2012257 PubMed DOI
Al-Khatib AR. Facial three dimensional surface imaging: an overview. Arch Orofac Sci 2010;5:1–8.
Metzler P, Sun Y, Zemann W et al. Validity of the 3D VECTRA photogrammetric surface imaging system for cranio-maxillofacial anthropometric measurements. Oral Maxillofac Surg 2014;18:297–304. 10.1007/s10006-013-0404-7 PubMed DOI
Kau CH, Richmond S. Three-dimensional analysis of facial morphology surface changes in untreated children from 12 to 14 years of age. Am J Orthod Dentofacial Orthop 2008;134:751–60. 10.1016/j.ajodo.2007.01.037 PubMed DOI
Neha . Sizing the shape: understanding morphometrics. J Clin Diagn Res 2015;9:ZC21–6. 10.7860/JCDR/2015/8971.5458 PubMed DOI PMC
Klingenberg CP. Size, shape, and form: concepts of allometry in geometric morphometrics. Dev Genes Evol 2016;226:113–37. 10.1007/s00427-016-0539-2 PubMed DOI PMC
Kamínková P, Dírer P, Fudalej P. Association of 3-dimensional facial changes and height and weight increase in children: a 2-year follow-up. Am J Orthod Dentofacial Orthop 2022;161:e199–214. 10.1016/j.ajodo.2021.01.025 PubMed DOI
Yamada T, Mori Y, Minami K et al. Three-dimensional analysis of facial morphology in normal Japanese children as control data for cleft surgery. Cleft Palate Craniofac J 2002;39:517–26. 10.1597/1545-1569_2002_039_0517_tdaofm_2.0.co_2 PubMed DOI
Kanavakis G, Halazonetis D, Katsaros C et al. Facial shape affects self-perceived facial attractiveness. PLoS One 2021;16:e0245557. 10.1371/journal.pone.0245557 PubMed DOI PMC
Latief BS, Kuijpers MAR, Stebel A et al. Pattern of morphological variability in unrepaired unilateral clefts with and without cleft palate may suggest intrinsic growth deficiency. Front Cell Dev Biol 2020;8:587859. 10.3389/fcell.2020.587859 PubMed DOI PMC
Buyuk SK, Genc E, Simsek H et al. Analysis of facial soft tissue values and cranial skeletal widths in different body mass index percentile adolescent subjects. Cranio 2019;37:223–30. 10.1080/08869634.2017.1420440 PubMed DOI
Olszewska K. Craniofacial morphology in overweight and obese orthodontic adolescent patients. J Pre Clin Clin Res 2017;11:42–5. 10.26444/jpccr/75138 DOI
Gordon L, Miller S, Caplin J et al. Childhood obesity may accelerate timing of human facial growth. Arch Oral Biol 2021;121:104964. 10.1016/j.archoralbio.2020.104964 PubMed DOI
Danze A, Jacox LA, Bocklage C et al. Influence of BMI percentile on craniofacial morphology and development in children and adolescents. Eur J Orthod 2021;43:184–92. 10.1093/ejo/cjaa056 PubMed DOI
Traver-Ferrando C, Barcia-González J. Early permanent dental eruption in obese/overweigh schoolchildren. J Clin Exp Dent 2022;14:e199–204. 10.4317/jced.58568 PubMed DOI PMC
Dai YL, Fu JF, Liang L et al. Association between obesity and sexual maturation in Chinese children: a muticenter study. Int J Obes (Lond) 2014;38:1312–6. 10.1038/ijo.2014.116 PubMed DOI
Ribeiro J, Santos P, Duarte J et al. Association between overweight and early sexual maturation in Portuguese boys and girls. Ann Hum Biol 2006;33:55–63. 10.1080/00207390500434135 PubMed DOI
Kočandrlová K, Dupej J, Hoffmannová E et al. Three-dimensional mixed longitudinal study of facial growth changes and variability of facial form in preschool children using stereophotogrammetry. Orthod Craniofac Res 2021;24:511–9. 10.1111/ocr.12461 PubMed DOI
Kesterke MJ, Raffensperger ZD, Heike CL et al. Using the 3D facial norms database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults. Biol Sex Differ 2016;7:23. 10.1186/s13293-016-0076-8 PubMed DOI PMC
Karsli N, Tuhan Kutlu E. Effect of body mass index on soft tissues in adolescents with skeletal class I and normal facial height. PeerJ 2023;11:e16196. 10.7717/peerj.16196 PubMed DOI PMC
Kułaga Z, Różdżyńska-Świątkowska A, Grajda A et al. Percentile charts for growth and nutritional status assessment in Polish children and adolescents from birth to 18 year of age. Standardy Medyczne/Pediatria 2015;12:119–35.