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.
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http://dx.doi.org/10.22514/jofph.2024.042 | DOI Listing |
Prev Med Rep
January 2025
Johns Hopkins University Bloomberg School of Public Health, Department of Population, Family and Reproductive Health, Baltimore, MD 21205, USA.
Objective: To examine associations between student perceptions of school physical activity best practices and accelerometer-based physical activity during school days.
Methods: The sample was 758 students in grades 3rd-4th or 6th-7th (female-58 %; 31 % Black/African American) from 33 schools across five school districts in a Mid-Atlantic state in the U.S.
BMJ Open
December 2024
Department of Gastroenterology, Ningbo Medical Centre Lihuili Hospital, Ningbo, Zhejiang, China.
Objective: To investigate the current level of physical activity (PA) and its influencing factors among patients with inflammatory bowel disease (IBD) in East China.
Design: Cross-sectional study.
Setting: Questionnaire survey recruiting from six tertiary referral hospitals in East China between October and December 2023.
Child Care Health Dev
January 2025
Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth College, Lebanon, New Hampshire, USA.
Objectives: We aim to quantify the performance of accelerometry in objectively measuring physical activity (PA) intensity among infants and toddlers.
Methods: Thirty-eight 6- to 24-month-olds participated in a 30-min, semistructured lab visit. Twenty-three (61%) children could walk independently.
Although the toxic effect of Sedentary behavior (SED) on bone health has been demonstrated in the previous study, the underlying mechanisms of SED, or break SED to bone health remain unclear. In this study, we aim to investigate the effects of sedentary behavior (SED) on bone health, as well as the potential favor effects of moderate to vigorous physical activity (MVPA) and periodic interruptions of SED. To simulate SED, we used small Plexiglas cages (20.
View Article and Find Full Text PDFCochrane Database Syst Rev
January 2025
Cochrane Switzerland, c/o Cochrane Germany Foundation, Freiburg, Germany.
Background: Chronic diseases are the leading cause of mortality and morbidity worldwide. Much of this burden can be prevented by adopting healthy behaviours and reducing chronic disease risk factors. Settings-based approaches to address chronic disease risk factors are recommended globally.
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