Obesity is a common disease that resulted from over-nutrition in adults and children. It rarely causes damage to the centers of food in the brain. Obesity is defined as an increased body weight from its natural limit which is resulted from the accumulation of excessive amounts of fatty tissue incredibly up to 20% in males, 30 % in females unless this increase is not due to an increase in muscles as in athletes or accumulation of water in the body which is resulted from Mesothelioma or the magnitude of the skeleton.Obesity is the increase of the total average of fat in the body compared to other tissues, which causes an increasing body weight, thereby increasing body mass. The fatty child has an increase in the stored fatty layer under the skin, and increased weight 20%more than the normal weight of other children in the same age and height.
This thesis focuses on identifying showing the relationship between obesity and some of the variables. Moreover, the thesis reflects the importance of maintaining the ideal weight of the child and his role in the growth and health. The evidence shows that children who suffer from obesity are more likely to become fat adults, so they are exposed to increased risk of serious health problems. Hence, protecting children from obesity and treating them is possible through changing lifestyle, improving the child's nutrition system, and urging him to exercise to improve their health at the present time and in the future.
Therefore, the thesis aims: to detect significant differences in obesity for kindergarten children depending on certain variables through the testing hypothesis as followed: Statistically there are no significant differences in obesity with kindergarten children that are attributable to the following variables:
(A)Sex variable.
(B) The sequence of the child in the family..
(C) Dietary habits of the family.
To achieve the objectives of this study, 300 children were selected as samples, 166 males and 134 females. One of the most important tools that were used is:
1 - an electronic device for measuring weight.
2 - Length measuring tape.
3 - Measurement of body mass index (BMI)..
The researcher used in data statistical analysis:
(1) One way Anova.
(2) The T- test for two independent samples: Independent Samples Test.
(3) The real bilateral correlation coefficient (Point Bay Cyril).
The most important results that have been reached:
(1) That females suffer from obesity more than males because the body mass index of females is greater than the body mass index (BMI) for males.
(2) There is no statistically significant difference between the averages of body mass index (BMI) scores for kindergarten children due to the variable of the sequence of the child within his brothers.
(3) There is no statistically significant difference between the averages of body mass index (BMI) scores for obese kindergarten children that is attributed to behavioral tendencies variable of the child.
protein oxidation through oxidative stress, which represents the overall status of the protein in the cell/tissue. Due to their increased levels of AOPPs were reported during T2DM. The aim of this study was to assess AOPP level in T2DM subjects with foot ulcer (DFU) and explore its correlation with infection. Type 2 diabetic patients (n=108) and healthy subjects (n=25) were enrolled in this study. The T2DM group was subdivided to diabetic patients without complications (n=25) and eighty-three (83) of them have diabetic foot. They were sub- grouped into two groups according to presence Osteomyelitis and abscess, and in reliance on medical analysis of WBC count and CRP. Group of diabetic without superficial or deep ulcer and no osteomyelitis
... Show MoreThe research includes a clinical study of Arginase and its relation with uterine fibroid. The normal value of arginase activity in female serum was found to be (0.52 ± 0.02 IU/L) in healthy group at age (35-55) years. The study also showed a highly significant increase in arginase activity (7.99 ± 0.23 IU/L) in serum of uterine fibroid patients group at (35-55years) in comparison to healthy.The results also indicated a highly significant increase in the level of progesterone, estradiol, prolactin, peroxynitrite and malondialdehyde in patients group. While a highly significant decrease in concentration of adiponectin in patients group was found in comparison to healthy.
Objective(s): To assess the level of depression and anxiety among school age children with acute lymphoblastic leukemia under chemotherapy treatment and to find out the relationship between the level of depression and anxiety among the affected children and their demographic characteristics.
Methodology: A cross-sectional study was conducted on school age children both gender having acute lymphoblastic leukemia under chemotherapy treated and their age between 6 years to 12 years. The study started from the period of September, 19th 2020 to March,1st 2021. Non-probability (Purposive) sample of (114) children with acute lymphoblastic leukemia under chemotherapy was selected in attending hospital wards, outpatient and counseling clinics
This research is concerned with qualitatively studying the history of an ancient family, one of the most prominent noble, Alawite families, that assumed the position of the Student Union for the Alawite Supervision in the city of Nishapur in Khorasan during the centries (4-6 H./ 10-12 A.H.). Thus, the research aims to investgate the historical news, and the outstanding Zubarah figures who experience the supereme the religious, historical and scientific position in Khorasan generally and Nishapur particularily. It further aims at arriving at the true meaning of the name Zubarah, and to whom it was called, and the extent of this family’s affiliation to the noble Alawi House, and how they moved to live and settle in the cities of the East
... Show MoreIn this paper, a new method of selection variables is presented to select some essential variables from large datasets. The new model is a modified version of the Elastic Net model. The modified Elastic Net variable selection model has been summarized in an algorithm. It is applied for Leukemia dataset that has 3051 variables (genes) and 72 samples. In reality, working with this kind of dataset is not accessible due to its large size. The modified model is compared to some standard variable selection methods. Perfect classification is achieved by applying the modified Elastic Net model because it has the best performance. All the calculations that have been done for this paper are in