Zhu Junfei, Yuan Xuguang, Zhang Ye
Stomatology Center, China Japan Friendship Hospital, 100029 Beijing, China.
J Oral Facial Pain Headache. 2024 Dec;38(4):91-100. doi: 10.22514/jofph.2024.042. Epub 2024 Dec 12.
The role of sedentary behaviors in temporomandibular disorders (TMD) has not been thoroughly investigated. This study aims to investigate the potential association between sedentary behaviors and TMD using Mendelian randomization (MR) analysis. The MR method was employed to assess the causal association between sedentary behaviors and the risk of TMD. Genetic variants associated with sedentary behaviors, such as watching TV (Television), using computers and driving, were used as instrumental variables (IVs). MR analysis was performed using inverse variance-weighted (IVW) and weighted median methods, alongside MR-Egger regression to assess pleiotropy and statistical heterogeneity. Furthermore, leave-one-out analyses were conducted to assess whether any single SNP (single nucleotide polymorphism) or subset of SNPs influenced the results. Our analysis identified a significant association between driving time and the risk of temporomandibular disorders (IVW: OR (Odd ratio) = 2.797, 95% CI (Confidence interval) = 1.148-6.811, = 0.024; weighted median OR = 4.271, 95% CI = 1.226-14.871, = 0.023). In contrast, no significant associations were observed between time spent watching TV and using a computer and TMD risk. The robustness of the findings was confirmed through sensitivity analyses, including leave-one-out analysis. This study provides evidence of a potential genetic link between prolonged driving and TMD risk, suggesting that individuals frequently engaged in long-duration driving should be monitored for TMD symptoms. Further research is warranted to explore the complex interactions between sedentary behaviors and TMD, incorporating longitudinal and comprehensive assessments.
久坐行为在颞下颌关节紊乱病(TMD)中的作用尚未得到充分研究。本研究旨在使用孟德尔随机化(MR)分析来探究久坐行为与TMD之间的潜在关联。采用MR方法评估久坐行为与TMD风险之间的因果关联。与久坐行为相关的基因变异,如看电视、使用电脑和开车,被用作工具变量(IVs)。使用逆方差加权(IVW)和加权中位数方法进行MR分析,同时进行MR-Egger回归以评估多效性和统计异质性。此外,进行了留一法分析,以评估是否有任何单个单核苷酸多态性(SNP)或SNP子集影响结果。我们的分析确定了开车时间与颞下颌关节紊乱病风险之间存在显著关联(IVW:优势比(OR)=2.797,95%置信区间(CI)=1.148 - 6.811,P = 0.024;加权中位数OR = 4.271,95% CI = 1.226 - 14.871,P = 0.023)。相比之下,未观察到看电视和使用电脑的时间与TMD风险之间存在显著关联。通过敏感性分析,包括留一法分析,证实了研究结果的稳健性。本研究提供了长时间开车与TMD风险之间潜在遗传联系的证据,表明应监测经常长时间开车的个体是否出现TMD症状。有必要进行进一步研究,以探索久坐行为与TMD之间的复杂相互作用,并纳入纵向和全面评估。