Handgrip force and bite force in dentulous and edentulous individuals.

Autor: Jabr, Camila Luiz, Oliveira, Lucas Portela, Campos, Lucas Arrais, Campos, Juliana Alvares Duarte Bonini, de Oliveira Lima, Amanda Laísa, de Assis Mollo Júnior, Francisco, Filho, João Neudenir Arioli
Předmět:
Zdroj: Journal of Oral Rehabilitation; Aug2023, Vol. 50 Issue 8, p664-670, 7p, 1 Diagram, 3 Charts
Abstrakt: Background: The literature is unclear about bite force (BF) and handgrip force (HF) in a specific group of different ages and dentate conditions, or even a predictive model for each specific group, using BF and HF as factors. Objective: To establish the correlation between HF and BF in female participants with distinct ages and dentate conditions; also create a predictive model of BF as a function of HF. Methods: Participants were divided into three groups (GI: young natural dentate women, n = 65; GII: adult natural dentate women, n = 67; and GIII: edentulous women users of bimaxillary complete dentures, n = 67) and subjected to an HF measurement test using a digital dynamometer. Subsequently, BF was measured using a digital gnathodynamometer in the molar region. Pearson correlation coefficient (r) and multivariate analysis of variance (α = 0.05) were performed, and simple linear regression was used to obtain a model to predict BF from HF for each group separately (α = 0.05). Results: All groups presented moderate and strong correlations among the variables (GI: r = 0.838; GII: r = 0.714; GIII: r = 0.646). A significant difference in BF was observed (GI > GII > GIII; p <.05). GIII presented a significantly lower HF than the other groups (p <.05). Besides, three equations predicting BF, using HF, were obtained for use in young/adult dentate and edentulous women. Conclusion: All groups found a positive and significant correlation between BF, HF and groups. HF can be a simple and efficient method for predicting BF using the predictive models developed for women with good health. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index