Publish in OALib Journal
APC: Only $99
Objective: To identify the high risk group for developing obesity among a cohort of Saudi diabetic patients. Methods: A cross sectional study on a random sample of known type 2 diabetic patients who were visiting seven primary health care centers in Jeddah,Saudi Arabiawas conducted. Participants were categorized according to their Body Mass Index BMI into 4 groups. Prevalence of obesity was correlated to patients’ gender, age, smoking, educational level and employment status to identify the significant ones. Results: A total of 723 diabetics were included. Males to females’ ratio were almost equal (50.8% and 49.2% respectively). The mean BMI of group was 29.3 ± 6.1. Only (21.9%) of the studied diabetics were in their ideal range of body weight. The remaining was almost equally categorized as overweight or obese. More than one third (38.3%) were obese; among the obese: 22.4% had mild obesity, and 15.9% severe obesity. Percentage of severely obese females were almost triple that of males. The housewives were the least to have normal BMI ratio (15.2%). According to the calculated BMI it is found that being a non-smoker housewife is the significant predicting factor for being obese p < 0.05. Conclusion: Prevention and educational programs should target non-smokers housewives Saudi diabetic patients who are at higher risk for developing obesity.
This paper presents simulation modelling of network under the conditions of self-similar traffic and bottleneck occurrence. The comparative analysis of different TCPs (NewReno, Reno, Tahoe and etc.) has been conducted along with the testing of various algorithms of these protocols activity. The use of TCP Vegas has been proved to be the most effective.