Background: Obesity is an evolving major health problem in both developed and developing countries. Traditional obesity indices as body mass index, waist circumference, waist-hip-ratio are well known measures to identify obese subjects, however, neck circumference as an index of upper-body obesity was found to be a simple and time-saving screening measure that can be used to identify obesity and the likelihood of developing metabolic syndrome in type 2 diabetic patients.
Aim: to investigate the relationship of neck circumference (NC) to obesity and metabolic syndrome in Iraqi subjects with type 2 diabetes.
Methods: The study group included 90 type 2 diabetic subjects (48 men and 42 women) aged 30-68 years. The subjects were those who attending The Specialized Center for Endocrinology and Diabetes/Baghdad. Main indicators studied included Neck Circumference (NC), waist circumference (WC), waist-to-hip ratio (WHR), body mass index (BMI), blood pressure, fasting blood glucose, and lipoprotein levels.
Results: Pearson's correlation coefficients indicated a significant association between NC and body circumference, and waist-hip-ren and from 0.014 to less than 0.0001 in women). Also NC is positively correlated with systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TGA), fasting blood glucose level (p value from 0.092 to less than 0.0001). Cross tabulation between NC and BMI indicated that NC identified obese persons with 100% sensitivity in men and 90% in women, also a cross tabulation between NC and metabolic syndrome indicated that NC can identify metabolic syndrome with 100% sensitivity in both men and women. Metabolic syndrome was identified according to a modified criteria proposed by the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATPIII).
mass index, waist atio (p <0.0001 in m
Conclusion: Neck circumference is positively correlated with BMI, waist circumference, waist-hip-ratio, and positively correlated with components of metabolic syndrome in Iraqi individuals with type 2 diabetes. Accordingly, the measurement of neck circumference could be useful in clinical screening for obese persons and for persons who are at risk of developing metabolic syndrome.
The paper present design of a control structure that enables integration of a Kinematic neural controller for trajectory tracking of a nonholonomic differential two wheeled mobile robot, then proposes a Kinematic neural controller to direct a National Instrument mobile robot (NI Mobile Robot). The controller is to make the actual velocity of the wheeled mobile robot close the required velocity by guarantees that the trajectory tracking mean squire error converges at minimum tracking error. The proposed tracking control system consists of two layers; The first layer is a multi-layer perceptron neural network system that controls the mobile robot to track the required path , The second layer is an optimization layer ,which is impleme
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This study aimed at evaluating the torsional capacity of reinforced concrete (RC) beams externally wrapped with fiber reinforced polymer (FRP) materials. An analytical model was described and used as a new computational procedure based on the softened truss model (STM) to predict the torsional behavior of RC beams strengthened with FRP. The proposed analytical model was validated with the existing experimental data for rectangular sections strengthened with FRP materials and considering torque-twist relationship and crack pattern at failure. The confined concrete behavior, in the case of FRP wrapping, was considered in the constitutive laws of concrete in the model. Then, an efficient algorithm was developed in MATLAB environment t
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Shear and compressional wave velocities, coupled with other petrophysical data, are vital in determining the dynamic modules magnitude in geomechanical studies and hydrocarbon reservoir characterization. But, due to field practices and high running cost, shear wave velocity may not available in all wells. In this paper, a statistical multivariate regression method is presented to predict the shear wave velocity for Khasib formation - Amara oil fields located in South- East of Iraq using well log compressional wave velocity, neutron porosity and density. The accuracy of the proposed correlation have been compared to other correlations. The results show that, the presented model provides accurate
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