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Poorolajal J.,Hamadan University of Medical Sciences | Jenabi E.,Islamic Azad University at Hamadan
European Journal of Cancer Prevention | Year: 2016

The association between BMI and cervical cancer risk is not clear. This meta-analysis was carried out to estimate the association between overweight and obesity and cervical cancer risk. We searched PubMed, Web of Science, Scopus, ScienceDirect, LILACS, and SciELO for observational studies addressing the association between BMI and cervical cancer until February 2015. Data were independently extracted and analyzed using odds ratios and 95% confidence intervals (CIs), on the basis of randomeffects models. We identified a total of 3543 references and included nine studies with 128 233 participants. On the basis of the results of case-control and cohort studies, the association between cervical cancer and overweight was estimated to be 1.03 (95% CI: 0.81, 1.25) and 1.10 (95% CI: 1.03, 1.17), respectively. According to the results of case-control and cohort studies, the association between cervical cancer and obesity was estimated to be 1.40 (95% CI: 1.08, 1.71) and 1.08 (95% CI: 0.60, 1.52), respectively. No evidence of heterogeneity and publication bias was observed. The findings from this meta-analysis indicate that overweight is not associated with an increased risk of cervical cancer, but obesity is weakly associated with an increased risk of cervical cancer. However, more evidence, based on large prospective cohort studies, is required to provide conclusive evidence on whether or not BMI is associated with an increased risk of cervical cancer. Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. Source

Jalilian F.,Islamic Azad University at Hamadan | Emdadi S.,Hamadan University of Medical Sciences
Journal of Research in Health Sciences | Year: 2011

Background: Cervical cancer is the second most common cancer among women in the world and the most common cancer in developing countries. Pap smear is and effective tool that can prevent death due to cervical cancer. The aim of this study was to determine the factors related to doing regular Pap-smear test based on the theory of planned behavior. Methods: In this cross-sectional study, conducted in Hamadan County, the west of Iran, during 2009, a total of 400 women's aged 20 to 70 years old, were randomly selected to participate voluntarily in the study. Participants filled out a selfadministered questionnaire including the expanded theory of planned behavior components. Data were analyzed by SPSS version 13 using chi-square, t-test, and logistic regression statistical tests at 95% significant level. Results: Almost 63.8% of the participants had already done Pap-smear test at least once. About 28.3% of volunteers had followed a regular Pap-smear program. There was a significant correlation (P<0.002) between family history of cervical cancer and undergoing regular Pap-smear test. In addition, there was a significant correlation (P<0.001) between age and undergoing regular Pap-smear test. The best predictor for regular Pap-smear testing was subjective norms with odds ratio estimate of 1.14 [95% CI: 1.04, 1.23]. Conclusion: Based on our findings, subjective norms may be one of the most effective factors among women for doing regular Pap-smear test. Source

Navid A.H.F.,Islamic Azad University at Hamadan
Proceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010 | Year: 2010

This paper presents an energy-aware routing protocol, which uses learning automata concepts for wireless sensor network that is an approach to increase the network lifetime. Moreover, this protocol is scalable and can be used in various places. This approach has the advantage of decreasing energy consumption in order to increase network lifetime and manage routing discovery procedure to find best route in energy consumption by irregular cellular learning automata concept. We will first introduce a model of cellular learning automata in which learning automata is used to adjust the state transition probabilities of cellular automata, and then we will use irregular cellular learning automata for routing problem in a network which is based on Voronoi diagrams. Finally, we will simulate and evaluate our proposed routing protocol with other learning automata-based routing protocols by Matlab and Glomosim simulator. According to the results of simulations, we will show that the proposed protocol operates better than similar routing protocols in energy consumption and overhead of sensor networks. © 2010 IEEE. Source

Attar M.M.,Islamic Azad University at Hamadan
Journal of Applied Mechanics, Transactions ASME | Year: 2013

The objective of this paper is to investigate the effects of geometrical parameters such as the edge distance-to-hole diameter ratio {e/d}, plate width-to-hole diameter ratio {w/d}, and the distance between two holes-to-hole diameter ratio {l/d} on stress distribution in a unidirectional composite laminate with two serial pin-loaded holes, analytically and numerically. It is assumed that all short and long fibers lie in one direction while loaded by a force po at infinity. To derive differential equations based on a shear lag model, a hexagonal fiber-array model is considered. The resulting pin loads on composite plate are modeled through a series of spring elements accounting for pin elasticity. The analytical solutions are, moreover, compared with the detailed 3D finite element values. A close match is observed between the two methods. The presence of the pins on shear stress distribution in the laminate is also examined for various pin diameters. Copyright © 2013 by ASME. Source

Allahverdipour H.,Tabriz University of Medical Sciences | Jalilian F.,Islamic Azad University at Hamadan | Shaghaghi A.,Tabriz University of Medical Sciences
Substance Use and Misuse | Year: 2012

This correlational study explored the psychological antecedents of 253 Iranian gym users' intentions to use the anabolicandrogenic steroids (AAS), based on the Theory of Planned Behavior (TPB). The three predictor variables of (1) attitude, (2) subjective norms, and (3) perceived behavioral control accounted for 63% of the variation in the outcome measure of the intention to use the AAS. There is some support to use the TPB to design and implement interventions to modify and/or improve individuals' beliefs that athletic goals are achievable without the use of the AAS. © 2012 Informa Healthcare USA, Inc. Source

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