Advanced statistical analyses to reduce inconsistencies in bond strength data focused on donor factors: A six-factor analysis using linear mixed and nonlinear regression models

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

ACS Applied Electronic Materials Pub Date : 2024-03-01 DOI:10.2186/jpr.jpr_d_23_00193

Azusa Yamanaka, Atsushi Mine, Ayumi Shintani, Mariko Aoki-Matsumoto, Masahiro Yumitate, Shintaro Ban, Masaya Ishida, Munechika Takaishi, Hirofumi Yatani, Bart Van Meerbeek, Takuya Minamino, Shoichi Ishigaki

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引用次数: 0

Abstract

Purpose: This study aimed to investigate the effects of the age and sex of tooth donors on dentin bond strength.

Methods: A total of 38 extracted teeth (12 male and 26 female donors; age range: 17–82 years) were used in this study. In addition to donor age and sex, four other microtensile bond strength (μTBS) test specimen factors were evaluated: dentin position, bonding area, presence of voids at the interface, and computed tomography (CT) values of dentin. The μTBS was measured immediately (24 h) and 6 months after storage in water. After the μTBS testing, linear mixed and nonlinear regression models were used to analyze the effects of these factors on the μTBS data.

Results: The results from the linear mixed model revealed that the bonding area (P = 0.02), presence of voids at the interface (P = 0.04), and storage time (P < 0.001) significantly affected bond strength. In contrast, no correlation was observed between the μ TBS and dentin position (P = 0.08) or sex (P = 0.07). The results of the nonlinear regression model with robust variance–covariance estimators revealed that age significantly affected bond strength (P < 0.001). In addition, a significant positive correlation was found between μTBS and age (P < 0.001), with nonlinearity (P = 0.002). However, no correlation was observed between the μTBS and CT values (P = 0.69) without nonlinearity (P = 0.39).

Conclusions: These findings suggest that bond strength increases with age until 60 years but not afterward.

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为减少粘接强度数据的不一致性而进行的高级统计分析侧重于供体因素：使用线性混合和非线性回归模型进行六因素分析

目的：本研究旨在探讨供牙者的年龄和性别对牙本质粘接强度的影响：本研究共使用了 38 颗拔牙（12 位男性供体和 26 位女性供体；年龄范围：17-82 岁）。除供体年龄和性别外，还评估了其他四个微拉伸粘接强度（μTBS）测试样本因素：牙本质位置、粘接面积、界面是否存在空隙以及牙本质的计算机断层扫描（CT）值。μTBS是在水中储存后立即（24 小时）和 6 个月后测量的。μTBS测试后，使用线性混合模型和非线性回归模型分析这些因素对μTBS数据的影响：线性混合模型的结果显示，粘合面积（P = 0.02）、界面上是否存在空隙（P = 0.04）和储存时间（P < 0.001）对粘合强度有显著影响。相反，μ TBS 与牙本质位置（P = 0.08）或性别（P = 0.07）之间没有相关性。使用稳健方差-协方差估计器的非线性回归模型结果显示，年龄对粘接强度有明显影响（P <0.001）。此外，μTBS 与年龄之间存在明显的正相关性（P < 0.001）和非线性关系（P = 0.002）。然而，μTBS 和 CT 值之间没有相关性（P = 0.69），也没有非线性关系（P = 0.39）：这些研究结果表明，粘接强度在 60 岁之前会随着年龄的增长而增加，但 60 岁之后则不会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Electronic Materials Multiple-

CiteScore

7.20

自引率

4.30%

发文量

567