Evidence map›Paper›PMID 42726424›Full record

ArticleProgress in orthodontics2026

Digital analysis of age-related dentoalveolar changes: a 50-year longitudinal study.

Anas Basim, Julia Naoumova, Klara Leffler, Kristina Johansson, Maurits Persson, Nameer Al-Taai

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Article in Progress in orthodontics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Anas BasimHamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, United Arab Emirates.
Julia NaoumovaDepartment of Orthodontics, Institute of Odontology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Klara LefflerDepartment of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
Kristina JohanssonOrthodontics, Department of Odontology, Faculty of Medicine, Umeå University, Umeå, Sweden.
Maurits PerssonOrthodontics, Department of Odontology, Faculty of Medicine, Umeå University, Umeå, Sweden.
Nameer Al-TaaiHamdan Bin Mohammed College of Dental Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health, Dubai, United Arab Emirates. nameer.altaai@dubaihealth.ae.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the growing demand for orthodontic treatment among adults, a clear understanding of the age-related dentoalveolar changes has become increasingly important for accurate diagnosis, treatment planning, and long-term retention strategies. This study aims to characterize dentoalveolar changes in individuals with normal occlusion from early adolescence (13 years) to late adulthood (62 years) across four time points, using digitally derived measurements and strict inclusion and exclusion criteria. METHODOLOGY: Thirty orthodontically untreated subjects (11 males, 19 females) recruited through the Public Dental Health Care system in, were examined at mean ages of 13 (T1), 16 (T2), 31 (T3), and 62 years (T4). Stone casts of the maxillary and mandibular arches were digitized using a high-resolution 3D scanner. Eleven variables were digitally assessed: overjet, overbite, intercanine width, intermolar width, arch depth, palatal height, curve of Spee, clinical crown height, arch length, space deficiency, and irregularity index. Changes across time points were analyzed using the Wilcoxon signed-rank test.

resultsSagittally, overjet remained stable, whereas arch depth decreased significantly in both arches. Vertically, overbite decreased significantly, while clinical crown height increased significantly in both arches. Palatal height increased significantly up to age 31, and the curve of Spee decreased significantly by age 16. Transversely, maxillary and mandibular intermolar widths, as well as maxillary intercanine width, showed no significant changes, whereas mandibular intercanine width decreased significantly. In terms of space, maxillary and mandibular arch lengths decreased significantly at all time points, accompanied by significant increases in space deficiency and in the irregularity of the mandibular incisors throughout the observation period.

conclusionsAge-related dentoalveolar changes continue from adolescence into late adulthood, supporting the concept that occlusion remains dynamic throughout life. These longitudinal findings provide clinically relevant reference data for orthodontic diagnosis, treatment planning, and the development of effective long-term retention strategies.

Indexed as

AgingAlveolar ProcessDental ArchAdolescentAdultAge FactorsCephalometryCuspidFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalIncisorLongitudinal StudiesMaleMandibleAge-related changesIncisor crowdingIntercanine widthIntraclass correlation coefficient

Identifiers

PMID42726424
PMCPMC13569759

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.