The Effect of Cognitive Behavior Therapy on Anxiety Reduction of First Normal Vaginal Delivery

Introduction: Anxiety has an impressive effect on normal vaginal delivery. Since no study has been conducted in this regard, this research is designed to determine the effect of cognitive behavior therapy on the reduction of anxiety at first normal vaginal delivery. Methods: A semi-experimental study was carried out on 40 nulliparous women with six months age of pregnancy and without abortion and infertility background. After the completion of testimonial, the rate of anxiety was evaluated by Beck anxiety inventory. Then the participants were randomly divided into two groups (20 persons in each group). The experimental group received ten sessions of individual cognitive behavior therapy. The test was carried out again a week before delivery and twenty days after it. The data analysis was accomplished by SPSS16 and Co-variance analysis test. Results: At first the average of anxiety score in the experimental group was 34.16, in post test. 8.68 and in follow up test 7.79 and, thus the difference was meaningful(p<0.01), whereas in the control group, this score, at first, was 34.05, in post test 34.53 and in follow up test 26.89, which did not show any meaningful difference. Conclusions: Consequently the cognitive behavior therapy causes to decrease the anxiety with enduring effect at first normal vaginal delivery. Therefore, this treatment is proposed to reduce the anxiety of first delivery women

Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics

This study aims to investigate the capability of smoothed particle hydrodynamics (SPH), a fully Lagrangian mesh-free method, to simulate the bulk blood flow dynamics in two realistic left ventricular (LV) models. Three dimensional geometries and motion of the LV, proximal left atrium and aortic root are extracted from cardiac magnetic resonance imaging and multi-slice computed tomography imaging data. SPH simulation results are analyzed and compared with those obtained using a traditional finite volume-based numerical method, and to in vivo phase contrast magnetic resonance imaging and echocardiography data, in terms of the large-scale blood flow phenomena usually clinically measured. A quantitative comparison of the velocity fields and global flow parameters between the in silico models and the in vivo data shows a reasonable agreement, given the inherent uncertainties and limitations in the modeling and imaging techniques. The results indicate the capability of SPH as a promising tool for predicting clinically relevant large-scale LV flow information