167
Views
1
CrossRef citations to date
0
Altmetric
Original Article

Occlusal traits, orthodontic treatment need and treatment complexity among untreated 17–21-year-olds in Estonia

, , , &
Pages 44-48 | Received 22 May 2018, Accepted 26 Jun 2018, Published online: 07 Aug 2018
 

Abstract

Objective: To analyze data on occlusal traits, orthodontic treatment need and treatment complexity in orthodontically untreated 17–21-year-old Estonians.

Materials and methods: Clinical records and plaster casts of 390 untreated young adults (219 females and 171 males, mean age 18.5 years, range 17–21 years) were analyzed. Assessed occlusal traits included first molar and canine sagittal relationship, overjet, overbite, crowding, midline diastema, crossbite and scissor bite. The Index of Complexity, Outcome and Need (ICON) was used to assess orthodontic treatment need and complexity. Participants’ opinions regarding their teeth were determined with a questionnaire.

Results: The most prevalent occlusal traits were Class I sagittal relationship in canines (76%) and molars (70%), crowding (51%), overbite ≥3.5 mm (48%), the end-to-end sagittal relationship in canines (48%) and overjet ≥3.5 mm (47%). Antero-posterior asymmetry was common both in canines (39%) and molars (37%). According to ICON, 36% of participants had orthodontic treatment need.

Conclusions: Desire for orthodontic treatment was associated with crowding and increased overjet, and with no gender difference, participants’ main expectation of treatment was an improvement in dentofacial aesthetics. Treatment needs determined with ICON was moderate and in line with the participants’ desire for orthodontic treatment.

Acknowledgements

We thank the participants for their important contributions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.