Association of radiographic osteoarthritis, pain on passive movement and knee range of motion: A cross-sectional study

2015 ◽  
Vol 20 (2) ◽  
pp. 361-365 ◽  
Author(s):  
Roger Hilfiker ◽  
Peter Jüni ◽  
Eveline Nüesch ◽  
Paul A. Dieppe ◽  
Stephan Reichenbach
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Willemijn F. C. de Sonnaville ◽  
Caroline M. Speksnijder ◽  
Nicolaas P. A. Zuithoff ◽  
Daan R. C. Verkouteren ◽  
Nico W. Wulffraat ◽  
...  

Abstract Background Recognition of temporomandibular joint (TMJ) involvement in children with juvenile idiopathic arthritis (JIA) has gained increasing attention in the past decade. The clinical assessment of mandibular range of motion characteristics is part of the recommended variables to detect TMJ involvement in children with JIA. The aim of this study was to explore explanatory variables for mandibular range of motion outcomes in children with JIA, with and without clinically established TMJ involvement, and in healthy children. Methods This cross-sectional study included children with JIA and healthy children of age 6–18 years. Mandibular range of motion variables included active and passive maximum interincisal opening (AMIO and PMIO), protrusion, laterotrusion, dental midline shift in AMIO and in protrusion. Additionally, the TMJ screening protocol and palpation pain were assessed. Adjusted linear regression analyses of AMIO, PMIO, protrusion, and laterotrusion were performed to evaluate the explanatory factors. Two adjusted models were constructed: model 1 to compare children with JIA and healthy children, and model 2 to compare children with JIA with and without TMJ involvement. Results A total of 298 children with JIA and 169 healthy children were included. Length was an explanatory variable for the mandibular range of motion excursions. Each centimeter increase in length increased AMIO (0.14 mm), PMIO (0.14 mm), and protrusion (0.02 mm). Male gender increased AMIO by 1.35 mm. Having JIA negatively influenced AMIO (3.57 mm), PMIO (3.71 mm), and protrusion (1.03 mm) compared with healthy children, while the discrepancy between left and right laterotrusion raised 0.68 mm. Children with JIA and TMJ involvement had a 8.27 mm lower AMIO, 7.68 mm lower PMIO and 0.96 mm higher discrepancy in left and right laterotrusion compared to healthy children. Conclusion All mandibular range of motion items were restricted in children with JIA compared with healthy children. In children with JIA and TMJ involvement, AMIO, PMIO and the discrepancy between left and right laterotrusion were impaired more severely. The limitation in protrusion and laterotrusion was hardly clinically relevant. Overall, AMIO is the mandibular range of motion variable with the highest restriction (in millimeters) in children with JIA and clinically established TMJ involvement compared to healthy children.


2014 ◽  
Vol 37 (9) ◽  
pp. 641-646 ◽  
Author(s):  
Gabriela F. Carvalho ◽  
Thais C. Chaves ◽  
Maria C. Gonçalves ◽  
Lidiane L. Florencio ◽  
Carolina A. Braz ◽  
...  

2020 ◽  
Vol 55 (2) ◽  
pp. 122-130
Author(s):  
Raziye Dut ◽  
◽  
Gurhan Donmez ◽  
Mehmet Kaymakoglu ◽  
Mehmet Ali Talmac ◽  
...  

2018 ◽  
Vol 5 (2) ◽  
pp. 111-118
Author(s):  
Qian-Qian He ◽  
Jun-Feng Zhang

Abstract Objective The aims of this study were to estimate the prevalence of radiographic osteoarthritis (OA) and to assess the association between smoking patterns and OA prevalence in adults aged 50 years or older belonging to the Shanxi province of China. Methods A cross-sectional study in the rural regions of the Shanxi province was conducted among 2638 Chinese adults (aged ≥50 years). Demographic characteristics and behavioral information were collected through epidemiological surveys. All participants with joint pain underwent plain radiographic examination and were diagnosed by a professional orthopedist. Associations between smoking patterns and the prevalence of OA were assessed using binary logistic regression modeling. Results Among 2638 individuals (men, 50.3% and women, 49.7%; mean age, 61.5 years) included in the analysis, 49.8% had radiographic OA and 27.5% had knee OA. The prevalence of radiographic OA was higher in women than in men (P<0.001). After adjusting for potential confounding factors, there was a nonsignificant correlation between smoking and OA prevalence in the multivariate model. Odds ratios (ORs) for all types of OA and knee OA were higher in active and passive smokers than in nonsmoking individuals after adjustments (OR 1.374; 95% confidence interval [CI] 1.049–1.802; OR 1.440; 95% CI 1.059–1.958, respectively). Conclusions This study showed that smoking may not be an independent risk factor for OA; however, there was a positive correlation between active and passive smoking and OA.


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