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.
The 3-parameter Weibull distribution is used as a model for failure since this distribution is proper when the failure rate somewhat high in starting operation and these rates will be decreased with increasing time .
In practical side a comparison was made between (Shrinkage and Maximum likelihood) Estimators for parameter and reliability function using simulation , we conclude that the Shrinkage estimators for parameters are better than maximum likelihood estimators but the maximum likelihood estimator for reliability function is the better using statistical measures (MAPE)and (MSE) and for different sample sizes.
Note:- ns : small sample ; nm=median sample
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Abstract
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