Aim: The aim of this study is to investigate the effect of social appearance anxiety on womens’ psychological well-being. Methods: In this study, a relational screening model was used as one of the quantitative research methods. The study group was selected by convenience sampling method, which is one of the non-random sampling methods. The universe of this research consists of women who do pilates, while the sample consists of a total of 382 women who participated in the pilates exercise program in Istanbul, Izmir, Muğla, Hatay and Malatya provinces of Turkey. Participants with less than 1 year of sports experience were not included in this study. The study was based on voluntary participation. As data collection tools, social appearance anxiety and psychological well-being scale were used. A questionnaire was applied to the pilates participants participating in the research through electronic communication tools. Data obtained from participants were analyzed using SPSS and Amos 20.0. In the research, descriptive statistics, correlation, confirmatory factor analysis, and hierarchical regression analysis were performed. Results: According to the research findings, it was determined that there is a significant and negative relationship between social appearance anxiety and psychological well-being (r = -.250; p < 0.01). In addition, it has been found that social appearance anxiety has a significant and negative effect on psychological well-being (β= -.253; p<0.001). Conclusion: As a result of this study, it was determined that Pilates exercises reduce social appearance anxiety and increase psychological well-being. It can be said that when women who do regular pilates exercises develop a positive physical image, they are more at peace with themselves and increase their psychological well-being. Keywords: Pilates, women, social appearance anxiety, psychological well-being, regular activities
This study presents the numerical analysis of stem fixation in hip surgery using with/without cement methods since the use of cement is still controversial based on the clinical studies in the literature. Many different factors such as stress shielding, aseptic loosening, material properties of the stem, surgeon experiences etc. play an important role in the failure of the stem fixations. The stem fixation methods, cemented and uncemented, were evaluated in terms of mechanical failure aspects using computerized finite element method. For the modeling processes, three dimensional (3D) femur model was generated from computerized tomography (CT) images taken from a patient using the MIMICS Software. The design of the stem was also generated as 3D CAD model using the design parameters taken from the manufacturer catalogue. These 3D CAD models were generated and combined with/without cement considering the surgical procedure using SolidWorks program and then imported into ANSYS Workbench Software. Two different material properties, CoCrMo and Ti6Al4V, for the stem model and Poly Methyl Methacrylate (PMMA) for the cement were assigned. The material properties of the femur were described according to a density calculated from the CT images. Body weight and muscle forces were applied on the femur and the distal femur was fixed for the boundary conditions. The calculations of the stress distributions of the models including cement and relative movements of the contacts examined to evaluate the effects of the cement and different stem material usage on the failure of stem fixation. According to the results, the use of cement for the stem fixation reduces the stress shielding but increases the aseptic loosening depending on the cement crack formations. Additionally, using the stiffer material for the stem reduces the cement stress but increases the stress shielding. Based on the results obtained in the study, even when taking the disadvantages into account, the cement usage is more suitable for the hip fixations.
Background. In this study, the cut-out risk of Dynamic Hip Screw (DHS) was investigated in nine different positions of the lag screw for two fracture types by using Finite Element Analysis (FEA). Methods. Two types of fractures (31-A1.1 and A2.1 in AO classification) were generated in the femur model obtained from Computerized Tomography images. The DHS model was placed into the fractured femur model in nine different positions. Tip-Apex Distances were measured using SolidWorks. In FEA, the force applied to the femoral head was determined according to the maximum value being observed during walking. Results. The highest volume percentage exceeding the yield strength of trabecular bone was obtained in posterior-inferior region in both fracture types. The best placement region for the lag screw was found in the middle of both fracture types. There are compatible results between Tip-Apex Distances and the cut-out risk except for posterior-superior and superior region of 31-A2.1 fracture type. Conclusion. The position of the lag screw affects the risk of cut-out significantly. Also, Tip-Apex Distance is a good predictor of the cut-out risk. All in all, we can supposedly say that the density distribution of the trabecular bone is a more efficient factor compared to the positions of lag screw in the cut-out risk.
Torsion test setup FEA First metatarsal Bone PLAIn this study, the design and manufacture of torque test set up has been carried out for small and shapeless speciment. The torque sensor, which has maximum 10 Nm, is used in the test system design. The certain specification of Nema 34 step motor which use to apply torsional force to the specimens is 12 Nm, 24V and 4.2 ampere. The step motor is controlled by the HY-DIV268N-5A Step Motor Driver and the supply voltage of driver is 24 Volts. The information about the degree of the specimen rotation was taken from potantiometer. The information obtained from the sensor and potentiometer was transferred to the LabVIEW software to be representation graphically using the USB 6003 DAQ card. The first metatarsal bone modelled from computerized tomography (CT) images was produced by Ultimaker2 3D printer using polylactic acid (PLA) material. The printed bone model was tested through torsion test set up. At the same time, the 3D bone was prepared for finite element analysis. Boundary conditions were applied in the finite element analysis (FEA) model in accordance with the test setup. The produced bones using 3D printer were subjected to torsion test with the test setup. Also the modelled bone was tested in accordance with the torsion test setup by using finite element analysis. After that, the FEA and experimental test results were compared with each other. As a conclusion, the optimization of the torsional test setup was performed based on the FEA.
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