Objective(s): Ramadan is the Holy month of the Muslims, where they are required to abstain from food and drinks
from dawn till the beginning of night. This study was conducted in Ramadan to investigate the effect of fasting on
hematological incidences, lipid profile, renal and liver function tests among healthy adult males.
Methodology: The present study was carried out in Ramadan – 1431 of Higira (August-September 2010). The study
sample was 56 healthy adult males. Five samples of blood were taken at five intervals (Before, at day 1, 15, 28 and
after Ramadan). Estimation was done for hematological markers, (hemoglobin, white blood cells count, platelet
count); renal function tests (blood urea, serum uric acid, serum albumin, total serum protein); biochemical
parameters, (blood glucose, total serum cholesterol, serum triacylglyceride, high and low density lipoproteins) and
liver function tests (AST, ALT, Alkaline phosphatase, total serum bilirubin).
Results: The mean age of the subjects was 48.4 years (SD 7.15) and mean weight was 79.92 kg (SD 7.94). No
significant changes were observed in weight, hemoglobin, white blood cell count and platelets count, blood urea and
serum albumin values. Whereas, serum uric acid and total serum protein levels were statistically lower during and
aŌer Ramadan (P< 0.05, 0.01).
Blood levels of glucose showed no significant decrease and serum cholesterol and serum triacylglyceride results were
non-significant at first 2 weeks of Ramadan.
The same significant changes (p< 0.05, 0.01) were observed in the lipoprotein at day 15 and 28 of Ramadan. Findings
of liver functions levels showed significant changes. While, total serum bilirubin still with no significant changes during
Ramadan.
Recommendations: The present study recommends performing more studies with both larger groups and in various
categories of healthy and unhealthy subjects.
Abstract
Suffering the human because of pressure normal life of exposure to several types of heart disease as a result of due to different factors. Therefore, and in order to find out the case of a death whether or not, are to be modeled using binary logistic regression model
In this research used, one of the most important models of nonlinear regression models extensive use in the modeling of applications statistical, in terms of heart disease which is the binary logistic regression model. and then estimating the parameters of this model using the statistical estimation methods, another problem will be appears in estimating its parameters, as well as when the numbe
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