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Skeletal maturity in adolescence: evaluating bone development and age metrics

dc.contributor.authorPinheiro, João
dc.contributor.authorRibeiro, Luís
dc.contributor.authorTeixeira, Diana
dc.contributor.authorMagalhães Ribeiro, Anabela de
dc.contributor.authorCoelho-e-Silva, Manuel João
dc.date.accessioned2025-05-21T09:57:30Z
dc.date.available2025-05-21T09:57:30Z
dc.date.issued2025-04-10
dc.description.abstractBackground/Objectives: Bone maturation and development are crucial for growth and development, especially in children and adolescents; however, some qualitative methods, such as Greulich & Pyle, do not provide accurate data. Our aim is to verify whether skeletal age (SA) can predict and correlate with bone mineral content (BMC), bone mineral density (BMD), and body composition (BC). Methods: A cross-sectional study was conducted on 115 male adolescents (ages 12.1-15.8 years). Skeletal age was assessed using the Tanner-Whitehouse 3 (TW3) method, while BMC, BMD, and BC were measured using full-body DXA. Anthropometric data, including height and body mass, were also recorded. Statistical analysis included descriptive methods and bivariate correlation coefficients. Results: SA was significantly correlated with stature (r = 0.598, p = 0.001) and body mass (r = 0.517, p = 0.001), showing a stronger association than chronological age (CA) for these variables. Body composition variables, including lean mass (LM) (r = 0.521, p = 0.001) and fat tissue (FT) (r = 0.522, p = 0.001), also showed a stronger correlation with SA than CA. However, associations between SA and bone parameters were weaker: BMC (r = 0.103, p = 0.275) and BMD (r = 0.161, p = 0.086) did not reach statistical significance. When stratified by SA/CA tertiles, individuals in the highest tertile exhibited slightly greater BMC (1439 +/- 108.32 g) and BMD (1.028 +/- 0.127 g/cm2), though without a significant effect. These findings suggest a dynamic but complex relationship between skeletal age and bone development. Conclusions: SA demonstrates a stronger association with anthropometric and body composition variables than CA, highlighting its potential as a predictor of growth used in conjunction with LM and FM. However, its relationship with BMD and BMC remains inconclusive, warranting further longitudinal research, considering limitations regarding nutritional intake.eng
dc.description.sponsorshipCE/FCDEF-UC/00172016
dc.identifier.doi10.3390/diagnostics15080970
dc.identifier.issn2075-4418
dc.identifier.urihttp://hdl.handle.net/10400.1/27139
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relation.ispartofDiagnostics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBone age
dc.subjectChronological age
dc.subjectBone mineral content
dc.subjectBone mineral density
dc.subjectBody composition
dc.titleSkeletal maturity in adolescence: evaluating bone development and age metricseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue8
oaire.citation.startPage970
oaire.citation.titleDiagnostics
oaire.citation.volume15
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePinheiro
person.familyNameRibeiro
person.familyNameMagalhães Ribeiro
person.givenNameJoão
person.givenNameLuís
person.givenNameAnabela de
person.identifier.ciencia-id9616-AF73-75DE
person.identifier.ciencia-id8615-CACD-D292
person.identifier.orcid0000-0001-7019-8313
person.identifier.orcid0000-0003-0220-4691
person.identifier.orcid0000-0002-2227-1851
relation.isAuthorOfPublication89f68cc4-7965-4be2-8026-7dd722ef1c83
relation.isAuthorOfPublication06b49db2-aeff-425d-bd78-4bd44e8c1d7a
relation.isAuthorOfPublicationcd06ebc0-e3a1-4cf1-a464-cef694eb4726
relation.isAuthorOfPublication.latestForDiscovery89f68cc4-7965-4be2-8026-7dd722ef1c83

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