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Cited by 382

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Single tooth bite forces in healthy young adults

Ferrario, V. F., Sforza, C., Serrao, G., Dellavia, C., Tartaglia, G. M.·2004·Journal of Oral Rehabilitation

Abstract

summary The assessment of bite forces on healthy single tooth appears essential for a correct quantification of the actual impact of single implant oral rehabilitations. In the present study, a new single tooth strain‐gauge bite transducer was used in 52 healthy young adults (36 men, 16 women) with a complete permanent dentition. The influences of tooth position along the dental arch, of side, and of sex, on maximum bite force were assessed by an anova. No significant left–right differences were found. On average, in both sexes the lowest bite force was recorded on the incisors (40–48% of maximum single tooth bite force), the largest force was recorded on the first molar. Bite forces were larger in men than in women (P < 0·002), and increased monotonically along the arch until the first or second permanent molar (P < 0·0001). The present data can be used as reference values for the comparison of dental forces in patients.

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Crossref · 10.1046/j.0305-182x.2003.01179.x

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Metadata

Authors
Ferrario, V. F., Sforza, C., Serrao, G., Dellavia, C., & Tartaglia, G. M.
Venue
Journal of Oral Rehabilitation
Publisher
Wiley
Published
2004-01
Volume
31
Issue
1
Pages
18-22
ISSN
  • 0305-182X (ISSN-L)
  • 1365-2842
OpenAlex
W1572567311
Cited by
382
References
0
FWCI
7.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Single tooth bite forces in healthy young adults. https://app.cochat.ai/papers/10.1046/j.0305-182x.2003.01179.x
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Ferrario, V. F., Sforza, C., Serrao, G., Dellavia, C., & Tartaglia, G. M. (2004). Single tooth bite forces in healthy young adults. Journal of Oral Rehabilitation. https://doi.org/10.1046/j.0305-182x.2003.01179.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.