Type 2 daibetes mellitus (T2DM) is a global concern boosted by both population growth and ageing, the majority of affected people are aged between (40- 59 year). The objective of this research was to estimate the impact of age and gender on glycaemic control parameters: Fasting blood glucose (FBC), glycated hemoglobin (HbA1C), insulin, insulin resistance (IR) and insulin sensitivity (IS), renal function parameters: urea, creatinine and oxidative stress parameters: total antioxidant capacity (TAC) and reactive oxygen species (ROS). Eighty-one random samples of T2DM patients (35 men and 46 women) were included in this study, their average age was 52.75±9.63 year. Current study found that FBG, HbA1C and IR were highly significant (P<0.01) increased by increasing age. The lowest level of FBG was in the age group 30-39 years, which was a high significant (P<0.01) lower than other age groups 40-49, 50-59 and ³ 60 years. The highest level of HbA1C was in advanced age group ³ 60years, which was significantly (P<0.01) highest than other groups 30-39, 40-49 and 50-59 years. The highest level of IR was in the older age group ³ 60 years, which was significantly (P<0.01) highest than other age groups 30-39, 40-49 and 50-59 years. Insulin hormone level showed no significant (P>0.05) differences between age groups. Insulin sensitivity decreased in older age group ³ 60years compared with the other age groups with a highly significant differences. The results shows a highly significant (P<0.01) increasing in levels of urea and creatinine with increasing age. The lowest level of urea was found in 30- 39 and 40-49 year compared with other age groups, highest levels of creatinine were in 50-59 and ³ 60 age groups, which were significantly (P<0.01) highest than 30-39, 40-49 years age groups. In present study, the levels of TAC decreased by age. Third age group 50-59 showed the lowest level of TAC, which was significantly (P<0.05) lower than other age groups 30-39, 40-49 and ³ 60 years. Statistical analysis showed that the level of ROS was significantly (P<0.05) increased in advanced age groups 50- 59 and ³ 60years compared with other age groups 30-39 and 40-49 years. Statistical analysis revealed a significant (P<0.05) increased in levels of FBG in women compared with men, while insignificant differences (P>0.05) found in the HbA1c and insulin levels. A highly significant (P<0.01) increased in IR value was also found in women compared with men. Also, statistical analysis show that IS value was significantly decrease in women compared with men. The statistical analysis showed a nonsignificant differences for increasing levels of urea in women compared to men, while current finding showed a highly significant (P<0.01) increase in creatinine levels in men as compared with women. The present study showed insignificant increasing in the mean of TAC in men compared to women. While, the mean of ROS was significantly (P<0.05) increase in women compared to men.
Research Summary
... Show MoreThe rapid developmemt of information technology and its use in all fields has a bositive influence on all fields , and financial markets have a share of this development through the use of an electronic trading system to settle transactions and enhance transparency and disclosure in all activities of these markets and stimulate their performance .
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The development in transportations expertise allows for quicker or
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Some Results on Fuzzy Zariski
Topology on Spec(J.L)
Nowadays, people's expression on the Internet is no longer limited to text, especially with the rise of the short video boom, leading to the emergence of a large number of modal data such as text, pictures, audio, and video. Compared to single mode data ,the multi-modal data always contains massive information. The mining process of multi-modal information can help computers to better understand human emotional characteristics. However, because the multi-modal data show obvious dynamic time series features, it is necessary to solve the dynamic correlation problem within a single mode and between different modes in the same application scene during the fusion process. To solve this problem, in this paper, a feature extraction framework of
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Standards play a vital role in documenting the values of new test results in the form of tables. They are one of the basic requirements that the standardization process aims for as a complement to standardizing test procedures, and contribute to knowing the current reality of the student. The degree of readiness and level as a result of practicing different exercises for sports activities, in addition to the possibility of adopting it for comparison with his group or similar groups, classification, prediction and selection. Developing the skill of handling the football in the educational field is an important matter for achieving distinguished performance among students. This skill requires a level of accuracy, speed and control, and
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